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The healthcare supply chain ensures that critical medical supplies and equipment are available to treat patients during health emergencies such as pandemics and bioterrorism attacks. However, the most recent events of COVID-19 put this... more
The healthcare supply chain ensures that critical medical supplies and equipment are available to treat patients during health emergencies such as pandemics and bioterrorism attacks. However, the most recent events of COVID-19 put this system to a test. They found it full of vulnerabilities, leaving gaps in such critical supplies as personal protective equipment, ventilators, and diagnostics. This has very serious consequences for patient care and public health outcomes. It follows that there is a need to carry out comprehensive research to assess the resiliency of the current healthcare supply chain model in developing evidence-based strategies to increase the ability to resist and recover rapidly from major disturbances. It shall aim to appraise innovative practices in strategic stockpiling and distribution of supplies, supply chain diversification, cultivation of public-private partnerships, and leveraging digital technologies to optimize operations. This will build predictive models with historical and real-time data to determine critical supply and demand patterns under varied crisis scenarios. It would also explore blockchain and AI-driven solutions to track supplies, manage inventories, and orchestrate multi-stakeholder responses. This research will involve discussion, interviews, and surveys with key healthcare providers and manufacturers to identify some of the challenges and key success opportunities within this collaboration. An addition of some best practice case studies from other sectors will be reviewed within the study. Based on these results, a set of relevant and targeted recommendations to relevant policymakers and industry leaders is due for their actions to upgrade infrastructures, resources, policies, and cross-sector coordination mechanisms to be better prepared and with more bounce-back ability against future emergencies, ensuring continued access to care.
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In recent years, data-driven science and engineering have become pivotal in advancing our understanding of the world and solving complex problems. The advent of sophisticated instruments like next-generation genome sequencers, gigapixel... more
In recent years, data-driven science and engineering have become pivotal in advancing our understanding of the world and solving complex problems. The advent of sophisticated instruments like next-generation genome sequencers, gigapixel survey telescopes, and extensive sensor networks has resulted in unprecedented growth in data volume and complexity. This surge in data has necessitated the development of new methodologies and computational platforms capable of managing, processing, and analyzing massive datasets effectively. Cloud computing has emerged as a transformative technology in this landscape, offering scalable, flexible, and cost-effective solutions for handling Big Data. By providing on-demand access to computational resources and storage, cloud platforms enable scientists and engineers to perform high-level data analysis and simulations that were previously infeasible with traditional computing infrastructures (Birant & Birant, 2020; [Simmhan et al., 2016). This review article explores the pivotal role of cloud computing in facilitating datadriven science and engineering. It delves into the historical background and evolution of cloud computing in scientific research, outlines key concepts and technologies, and highlights significant applications across various scientific disciplines. Additionally, the article discusses the benefits and challenges associated with using cloud computing for Big Data applications and presents future trends and potential advancements in this rapidly evolving field.
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Cloud data warehousing has emerged as a transformative solution for organizations seeking to harness the power of big data analytics. Snowflake, a cloud-native data warehousing platform, has gained significant traction in the market due... more
Cloud data warehousing has emerged as a transformative solution for organizations seeking to harness the power of big data analytics. Snowflake, a cloud-native data warehousing platform, has gained significant traction in the market due to its innovative architecture and impressive performance capabilities. This research paper provides a deep dive into Snowflake's architecture and performance, offering insights into how organizations can optimize their cloud data warehousing strategies. The study examines the key components of Snowflake's architecture, including its separation of storage and compute, multi-cluster shared data architecture, and unique query processing engine. It explores how these design choices contribute to Snowflake's scalability, elasticity, and performance advantages over traditional on-premises data warehousing solutions. The paper investigates the performance optimization techniques employed by Snowflake, such as automatic clustering, micro-partitioning, and caching. It presents benchmarks and case studies that demonstrate the platform's ability to handle largescale data processing tasks while maintaining low latency and high throughput. The findings of this research provide valuable insights for data engineers, architects, and decision-makers seeking to optimize their cloud data warehousing strategies. By understanding the underlying principles and best practices of Snowflake's architecture and performance, organizations can make informed decisions about their data warehousing investments and leverage the full potential of cloud-based analytics.
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Cloud-based ILS platforms offer comprehensive solutions for managing library collections, circulation, acquisitions, and cataloging processes. They enable libraries to streamline operations and provide seamless access to resources for... more
Cloud-based ILS platforms offer comprehensive solutions for managing library collections, circulation, acquisitions, and cataloging processes. They enable libraries to streamline operations and provide seamless access to resources for both staff and patrons. Cloud-Based Integrated Library Systems (ILS) revolutionizes the management and accessibility of library resources in higher education institutions. This abstract explores the transformative potential of cloud technologies in modernizing library operations, enhancing user experiences, and optimizing resource utilization. By migrating traditional library systems to the cloud, colleges can streamline cataloging, circulation, and acquisitions processes, while also facilitating seamless access to digital collections and online resources. This paper examines the key features, benefits, and considerations associated with cloud-based ILS platforms, highlighting their role in promoting collaboration, scalability, and cost-effectiveness. Through case studies and examples, the abstract demonstrates how cloud-based ILS solutions empower librarians to adapt to evolving user needs, embrace digital transformation, and position their libraries as vibrant hubs of knowledge and innovation in the digital age.
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Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence.... more
Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence. Retrospective analysis of 2023 data on regional distribution, case numbers, age structure, disease types, and social structure of gynecological patients in the area. Statistical methods were used to explore the incidence patterns and characteristics of different diseases within the Jixi region. In 2023, gynecological patients in the region were mainly distributed in the Jiguan District of Jixi City. Patients' ages were mainly concentrated between 30 and 70 years, with hospitalization durations mainly ranging from 3 to 15 days, showing a correlation between patient age and length of hospital stay. The types of diseases mainly involved the uterus, pelvic cavity, fallopian tubes, and other conditions. The majority of patients belonged to the unemployed social group. In-depth analysis of the characteristics and related factors of gynecological patients at Jixi Mining Hospital provides a scientific basis for improving the level of nursing care. Comprehensive analysis of various aspects such as patient age, residence, occupation, illness, and length of hospital stay yielded a comprehensive distribution of patient characteristics, laying the foundation for personalized and refined gynecological medical services.
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Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence.... more
Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence. Retrospective analysis of 2023 data on regional distribution, case numbers, age structure, disease types, and social structure of gynecological patients in the area. Statistical methods were used to explore the incidence patterns and characteristics of different diseases within the Jixi region. In 2023, gynecological patients in the region were mainly distributed in the Jiguan District of Jixi City. Patients' ages were mainly concentrated between 30 and 70 years, with hospitalization durations mainly ranging from 3 to 15 days, showing a correlation between patient age and length of hospital stay. The types of diseases mainly involved the uterus, pelvic cavity, fallopian tubes, and other conditions. The majority of patients belonged to the unemployed social group. In-depth analysis of the characteristics and related factors of gynecological patients at Jixi Mining Hospital provides a scientific basis for improving the level of nursing care. Comprehensive analysis of various aspects such as patient age, residence, occupation, illness, and length of hospital stay yielded a comprehensive distribution of patient characteristics, laying the foundation for personalized and refined gynecological medical services.
Research Interests:
Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence.... more
Thoroughly explore the pathological characteristics and influences of gynecological diseases within Jixi City, Heilongjiang Province, propose targeted strategies to improve women's health in the Jixi region based on scientific evidence. Retrospective analysis of 2023 data on regional distribution, case numbers, age structure, disease types, and social structure of gynecological patients in the area. Statistical methods were used to explore the incidence patterns and characteristics of different diseases within the Jixi region. In 2023, gynecological patients in the region were mainly distributed in the Jiguan District of Jixi City. Patients' ages were mainly concentrated between 30 and 70 years, with hospitalization durations mainly ranging from 3 to 15 days, showing a correlation between patient age and length of hospital stay. The types of diseases mainly involved the uterus, pelvic cavity, fallopian tubes, and other conditions. The majority of patients belonged to the unemployed social group. In-depth analysis of the characteristics and related factors of gynecological patients at Jixi Mining Hospital provides a scientific basis for improving the level of nursing care. Comprehensive analysis of various aspects such as patient age, residence, occupation, illness, and length of hospital stay yielded a comprehensive distribution of patient characteristics, laying the foundation for personalized and refined gynecological medical services.
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In this paper, operating principles of regulated AC to DC converters have been discussed and the simulation results are provided. The circuit is built and simulated by Proteus software. The characteristics of half wave, centre tap and... more
In this paper, operating principles of regulated AC to DC converters have been discussed and the simulation results are provided. The circuit is built and simulated by Proteus software. The characteristics of half wave, centre tap and bridge rectifiers under forward and reverse directions was simulated and their output waveforms was analyzed. The key components used for the construction are step down transformer, diode, capacitor, zener voltage regulator, and output load resistor. The circuit was design using stage by stage approach which comprised four modules. These include: 220V to 12V step down transformer, rectifier, DC filter and regulator circuits. The stepdown transformer was used to transform 220V voltage AC input into 12V voltage AC output. The Rectifier circuit was used to convert this low voltage AC into pulsating DC voltage output that consists of ripple components. We then connected a capacitor of a high capacitance to the output of the rectifier, to filter the pulsating DC voltage to produce pure DC voltage. Due to unwanted input fluctuations, we connected 12V zener diode regulator to maintain the output voltage at a constant 12V value. The simulation results show that for half wave rectifier only half of the input ac waveform appeared across the load while for the centre tap and the bridge rectifiers both positive and negative half cycles of the input AC waveforms are allowed. The results obtained from simulation are compatible with the actual experiments.
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This paper explores the innovative Delta Lake UniForm feature, which provides seamless interoperability between Delta Lake, Iceberg, and Hudi formats. By leveraging the latest advancements in Delta Lake 3.0 and UniForm, this paper delves... more
This paper explores the innovative Delta Lake UniForm feature, which provides seamless interoperability between Delta Lake, Iceberg, and Hudi formats. By leveraging the latest advancements in Delta Lake 3.0 and UniForm, this paper delves into the technical intricacies of integrating multiple open table formats, optimizing performance, and ensuring robust data management and compliance. The paper also highlights the practical applications, benefits, and challenges of implementing Delta Lake UniForm in modern data architectures.
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In the realm of release management, navigating project timelines, cost budgeting, and risk assessment are critical to ensuring operational efficiency and project success. This white paper explores the pivotal role of a Release Manager in... more
In the realm of release management, navigating project timelines, cost budgeting, and risk assessment are critical to ensuring operational efficiency and project success. This white paper explores the pivotal role of a Release Manager in overseeing these key functions within a dynamic operational environment. Responsibilities include managing project timelines, scheduling, and cost analysis on cloud platforms, alongside evaluating risks associated with new technologies. Daily interactions with project stakeholders facilitate alignment of project goals with strategic objectives, while rigorous change request management ensures seamless transitions across environments. By delving into strategies, challenges, and best practices, this paper offers insights into optimizing release management processes for enhanced operational outcomes.
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The integration of artificial intelligence (AI) and machine learning (ML) techniques into test automation frameworks has emerged as a promising approach to enhance software testing processes. This paper explores the potential of AI and ML... more
The integration of artificial intelligence (AI) and machine learning (ML) techniques into test automation frameworks has emerged as a promising approach to enhance software testing processes. This paper explores the potential of AI and ML in augmenting traditional test automation approaches, focusing on test case selection, execution, and analysis By leveraging data-driven insights and predictive analytics, AI/ML algorithms can intelligently prioritize test cases, facilitate dynamic test case generation, optimize test execution, and provide deeper insights into test results and defect patterns. Through case studies and empirical evaluations, this research aims to provide practical guidelines for integrating AI/ML into test automation frameworks, enabling organizations to improve software quality, accelerate time-to-market, and drive continuous innovation in software development processes.
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The application of PSS design for the conventional optimization technique Rosen Brock’s algorithm for single and multimachine power systems. The controller parameters identified through this technique is now applied in the dynamic... more
The application of PSS design for the conventional optimization technique Rosen Brock’s algorithm for single and multimachine power systems. The controller parameters identified through this technique is now applied in the dynamic Simulink model of the proposed power systems for different operating conditions and the speed deviation responses for a particular step disturbance of change in mechanical torque are observed. The performance of the technique can be analyzed through the dynamic speed deviation responses.
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This paper presents the application of evolutionary computation namely Genetic Algorithm (GA) for estimation of feedback controller parameters of Static Var Compensator (SVC) and Power System Stabilizer (PSS) for a single machine and... more
This paper presents the application of evolutionary computation namely Genetic Algorithm (GA) for estimation of feedback controller parameters of Static Var Compensator (SVC) and Power System Stabilizer (PSS) for a single machine and multi machine Power Systems. The performance of the systems is analyzed with various control strategies such as GA based PSS, GA based SVC and GA based coordinated design of PSS and SVC and the results are presented. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima.
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This work presents an autonomous street lighting system based on solar energy as primary source, batteries as secondary source, and lighting emitting diodes (LEDs) as lighting source. It presents high efficiency, because all power stages... more
This work presents an autonomous street lighting system based on solar energy as primary source, batteries as secondary source, and lighting emitting diodes (LEDs) as lighting source. It presents high efficiency, because all power stages are implemented in DC. It proposes the use of LED-based lighting systems that receive energy from leadacid batteries, charged by the solar panels and a DC/DC converter is used to control the output power of the PV panel and the charging current for the battery. Here the control circuit basically works in two modes: light control and intensity adjustment. Under the light control mode, LED lamps turn OFF during daytime and turn ON at night automatically using a Light Dependent Resistor (LDR). The LDR performs the Dusk-Dawn operation. PWM technique is used to adjust the intensity of lamps by detecting the presence of the pedestrians using a Passive Infrared Sensor (PIR).
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This paper explores the innovative Delta Lake UniForm feature, which provides seamless interoperability between Delta Lake, Iceberg, and Hudi formats. By leveraging the latest advancements in Delta Lake 3.0 and UniForm, this paper delves... more
This paper explores the innovative Delta Lake UniForm feature, which provides seamless interoperability between Delta Lake, Iceberg, and Hudi formats. By leveraging the latest advancements in Delta Lake 3.0 and UniForm, this paper delves into the technical intricacies of integrating multiple open table formats, optimizing performance, and ensuring robust data management and compliance. The paper also highlights the practical applications, benefits, and challenges of implementing Delta Lake UniForm in modern data architectures.
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Accurate dimensional standards are required in conventional manufacturing techniques to produce high-quality products. However, manually analyzing and optimizing these parameters may be time-consuming and error-prone. This study proposes... more
Accurate dimensional standards are required in conventional manufacturing techniques to produce high-quality products. However, manually analyzing and optimizing these parameters may be time-consuming and error-prone. This study proposes an automated assessment and optimization strategy for improving product quality during traditional manufacturing methods. By integrating advanced sensor technology with real-time feedback mechanisms, the proposed system continuously monitors dimensional data and offers operators with immediate help, decreasing errors and enhancing process efficiency. This strategy, which takes a comprehensive approach, significantly improves product quality, reduces cycle time, and boosts overall productivity in typical manufacturing setups.
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In the rapidly evolving digital landscape, personalization has become a key differentiator for user engagement and satisfaction. This manuscript explores the convergence of artificial intelligence (AI), no-code platforms, and web... more
In the rapidly evolving digital landscape, personalization has become a key differentiator for user engagement and satisfaction. This manuscript explores the convergence of artificial intelligence (AI), no-code platforms, and web development, emphasizing how these technologies are revolutionizing digital experiences. AI-driven personalization significantly enhances user interactions by delivering tailored content based on user preferences and behavior. No-code platforms democratize web development, enabling non-technical users to create highly customized web experiences without extensive coding knowledge. This paper reviews the current state of these technologies, their impact on digital experience, and future trends. Through detailed case studies of Netflix, Webflow, and GitHub Copilot, and a comprehensive analysis of existing literature, we identify best practices and strategies to leverage AI and no-code platforms effectively. Our findings reveal that these technologies not only enhance efficiency and productivity in web development but also foster innovation and inclusivity. We discuss the challenges and limitations, such as data privacy concerns and the need for continuous algorithm improvements. By addressing these challenges and embracing future trends, businesses and developers can harness the full potential of AI and no-code platforms to drive growth and innovation in the digital landscape.
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This project explores the development of a Handwritten Character Recognition system utilizing machine learning and deep learning techniques, specifically convolutional neural networks (CNNs). The system demonstrates high accuracy in... more
This project explores the development of a Handwritten Character Recognition system utilizing machine learning and deep learning techniques, specifically convolutional neural networks (CNNs). The system demonstrates high accuracy in identifying handwritten characters from optical images or direct input methods. By leveraging advanced pre-processing methods, the project highlights its practical applicability in digitizing handwritten documents, automating postal services, and enhancing accessibility tools. Future work aims to expand the dataset, improve recognition of cursive and connected characters, and integrate real-time applications. The project underscores the potential of transfer learning and other deep learning architectures to create sophisticated, versatile handwritten character recognition systems.
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In this work, the combined effects of two waste materials—unprocessed rice husk ash (RHA) and expanded polystyrene (EPS)—on various concrete properties are assessed. Petrochemical sources are the source of polystyrene, which is frequently... more
In this work, the combined effects of two waste materials—unprocessed rice husk ash (RHA) and expanded polystyrene (EPS)—on various concrete properties are assessed. Petrochemical sources are the source of polystyrene, which is frequently used in insulation and packaging before being discarded at the end of its useful life. However, RHA, a byproduct of milling rice, is an easily accessible agricultural waste item that is frequently underutilized throughout many locations. Because these materials have potential for recycling and repurposing, their disposal can have a smaller negative environmental impact, promoting sustainability. This study investigates the possibility of using rice husk ash (RHA) and expanded polystyrene (EPS) as bio composites to partially replace conventional building materials in concrete. The study looks into how they affect the final concrete mixtures' workability, water absorption properties, compressive, tensile, and flexural strength. A common building material, concrete is coming under more and more attention because of its large carbon footprint, which is mostly caused by the energy-intensive manufacturing of Ordinary Portland Cement (OPC). This study investigates the feasibility of partially substituting conventional components in concrete mixtures with expanded polystyrene (EPS) and rice husk ash (RHA) as sustainable alternatives in response to these environmental concerns. There are two different kinds of agro-waste materials: EPS and RHA. The results demonstrate how RHA and EPS, as bio composites, may support environmentally friendly building methods. But when it comes to the proportions of the concrete mix, accuracy and balance are crucial. Key factors for ecologically responsible building include managing water resistance issues, preserving workability, and striking a balance between sustainability and structural integrity. This study offers an environmentally favourable way ahead for sustainable construction practices by laying a solid foundation for the use of RHA and EPS in concrete manufacturing.
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The integration of predictive analytics with Security Information and Event Management (SIEM) systems represents a significant advancement in the field of cybersecurity, enhancing the ability to detect, respond to, and mitigate threats... more
The integration of predictive analytics with Security Information and Event Management (SIEM) systems represents a significant advancement in the field of cybersecurity, enhancing the ability to detect, respond to, and mitigate threats proactively. This research paper explores the foundational concepts of SIEM and predictive analytics, detailing their core functionalities and the benefits of their convergence. It examines various methods of integration, including direct integration, external analytics engines, and hybrid approaches, and provides practical strategies for implementation. Key benefits of integrating predictive analytics with SIEM systems include enhanced threat detection, improved incident response, optimized resource allocation, and better compliance reporting. However, the paper also addresses the challenges associated with this integration, such as ensuring data quality, maintaining model accuracy, managing integration complexity, and addressing performance and scalability concerns. By leveraging advanced machine learning and data processing techniques, organizations can achieve a more robust and resilient cybersecurity posture. The paper concludes with a discussion on future directions, emphasizing the potential for continued innovation in integrating predictive analytics with SIEM systems to address the ever-evolving landscape of cyber threats.
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Artificial Intelligence (AI) has emerged as a transformative force in enhancing financial data security, offering advanced capabilities to detect, mitigate, and prevent cyber threats in the digital age. This paper explores the integration... more
Artificial Intelligence (AI) has emerged as a transformative force in enhancing financial data security, offering advanced capabilities to detect, mitigate, and prevent cyber threats in the digital age. This paper explores the integration of AI technologies within the financial sector, focusing on its applications in predictive security analytics, automated threat detection, and regulatory compliance. Key topics include the fundamentals of AI in cybersecurity, challenges in securing financial data, and ethical considerations in AI deployment. Future trends such as quantum-resistant cryptography, autonomous security operations, and the evolution of ethical AI governance are also discussed. By examining current practices, emerging trends, and regulatory frameworks, this research highlights AI's pivotal role in fortifying financial data defenses and shaping the future of cybersecurity strategies. Embracing AI-driven innovations responsibly promises to strengthen resilience against evolving threats while maintaining trust, compliance, and operational efficiency in financial ecosystems.
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The contemporary world is fraught with conflict, leading to widespread stress for various reasons. Numerous factors influence human stress levels, with IT sector employees being particularly susceptible due to work pressure, overload, and... more
The contemporary world is fraught with conflict, leading to widespread stress for various reasons. Numerous factors influence human stress levels, with IT sector employees being particularly susceptible due to work pressure, overload, and higher employee dominance. Changing lifestyles and work environments have further increased stress risks, despite corporate efforts to improve mental health support. This study explores the stress patterns among working adults and uncovers significant factors affecting stress levels, employing machine learning methods. While substantial research on stress prediction exists, many studies lack practical implementation. Data science methods effectively process training datasets and predict stress efficiently. The suggested framework evaluates parameters such as gender, age, family history, health issues, working hours, tech role, and leave acquisition to assess employee stress levels. Using Visual Studio and SQL Server, this real-time application is developed to help IT companies monitor and manage employee stress more effectively. By offering a holistic approach, this system seeks to improve workplace well-being and productivity.
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This study explores the integration of advanced state management techniques in AIdriven no-code web platforms. As AI capabilities become more embedded in no-code environments, efficient state management is crucial for optimizing... more
This study explores the integration of advanced state management techniques in AIdriven no-code web platforms. As AI capabilities become more embedded in no-code environments, efficient state management is crucial for optimizing performance, scalability, and user experience. Traditional state management approaches often fall short in handling the complexities of AI models and asynchronous data processing inherent in these platforms. This research provides a comprehensive analysis of various state management strategies, their implementation, and effectiveness in real-world scenarios. Our objective is to bridge the gap between current state management practices and the evolving demands of AI-powered no-code platforms. By offering insights into advanced techniques and their applicability, we aim to empower developers and platform providers to create more robust, efficient, and user-friendly applications. This work contributes to the fields of AI, web development, and no-code platforms, promoting future advancements and establishing a foundation for significant developments in these interconnected areas.
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The news, Mukesh Ambani-led Reliance Industries Limited (RIL) has acquired the famous Campa Cola brand from New Delhi-based Pure Drinks Group for an estimated amount of Rs 22 crore has stirred up a bout of nostalgia for the generation who... more
The news, Mukesh Ambani-led Reliance Industries Limited (RIL) has acquired the famous Campa Cola brand from New Delhi-based Pure Drinks Group for an estimated amount of Rs 22 crore has stirred up a bout of nostalgia for the generation who grew up in India during the 80s. Interestingly enough, only one generation of Indians were deprived of the global cola brands – Coke and Pepsi, those who began to consume aerated soft drinks between the exile period of 1977 – 1991 [1]. When the foreign brands relaunched in India in the early 90s, Ramesh Chauhan of Thums Up fame sold out to Coke anticipating aggressive powerflexing, global brand image, improved supply chain logistics omnificent of an MNC. But India of 1991 and India circa 2023 is a big difference. Today, Campa Cola has the backing of Reliance with deep pockets, experience of managing mega projects of global scale, world class operations and economies of scale, ability to engage in active price-wars and emerge successfully is a different ball game altogether [1]. Is Reliance trying to create a niche market with the generation (now in their 50s) as a market entry strategy or use its prior experience of cut-throat pricing and cross-subsidization to scale up the markets to international size through its retail business? Campa Cola has an even chance of success in its second innings. Can it turn the odds in its favour?
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The advent of blockchain technology has revolutionized various industries, with gaming being a prominent beneficiary. This paper explores the implementation of decentralized game assets on the Ethereum blockchain, emphasizing their... more
The advent of blockchain technology has revolutionized various industries, with gaming being a prominent beneficiary. This paper explores the implementation of decentralized game assets on the Ethereum blockchain, emphasizing their potential to transform the gaming landscape. By leveraging Ethereum's smart contract capabilities, game assets such as in-game items, currencies, and characters can be tokenized, ensuring true ownership, scarcity, and interoperability across different gaming platforms. The study examines the technical mechanisms underlying these assets, their advantages over traditional centralized systems, and the challenges faced in adoption, such as scalability, security, and regulatory issues. Through a comprehensive analysis, this paper aims to provide insights into the future trajectory of decentralized game assets and their implications for developers, gamers, and the broader blockchain ecosystem
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In practice, the presence of lifters in the drum of the rotary dryer plays an essential role in continuously stirring the cocoa beans, thus facilitating the drying of both the beans forming a curtain and the bed; three-dimensional lifters... more
In practice, the presence of lifters in the drum of the rotary dryer plays an essential role in continuously stirring the cocoa beans, thus facilitating the drying of both the beans forming a curtain and the bed; three-dimensional lifters were used. The results show that the optimal unloading angle range obtained for better filling rate is between 110° - 140°. The effects of the operating parameters (the speed and temperature of the drying air, the ratios of the drying mass flow rates and the rotation speed) showed that the air speed of 0.5 m/s corresponds to an optimal reduction in water content, at the highest product temperature and drying kinetics. On the other hand, the appropriate air speeds are of the order of 1.5 m/s to 2.0 m/s, allowing us to consider the aesthetic aspect of the device. However, the impact of the design parameters (the inclination of the drum and the presence of the lifters) on the evolution of drying are of two orders: the first is that the entry speed of the cocoa bean particles increases once fallen from the flight. The second is that the inlet velocity in the axial direction increases, as does the velocity in the transverse direction, resulting in a reduction in dwell time. Complemented to this, the addition of the lifters in steps of 5 caused a further 12% reduction in the water content. Finally, the optimization results revealed the tilt angle of 3°, the diameter of 0.6 m, and the rotation speed of 10 rpm of the drum and the characteristic lengths of the lifters of 0.125 m, 0.125 m and 0.50 m as the optimal operating sizes of the rotary cocoa bean dryer.
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The goal of investing is to provide a consistent return without taking any risks. Several investment instruments are available in our nation, ranging from shares or debentures to insurance contracts. The kind of investment chosen is... more
The goal of investing is to provide a consistent return without taking any risks. Several investment instruments are available in our nation, ranging from shares or debentures to insurance contracts. The kind of investment chosen is determined by the investor's risk tolerance and income level. Mutual funds are a new and exciting way to invest since they offer diversified investment options, consistent returns, and low risk. However, there is a very low level of awareness of it among our nation's population. Many have been compelled to avoid or even choose not to engage in this type of investment due to their unclear understanding of the matter. The purpose of this study is to determine the degree of mutual fund awareness among Indian investors and to recommend more effective ways to raise that awareness.
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The goal of investing is to provide a consistent return without taking any risks. Several investment instruments are available in our nation, ranging from shares or debentures to insurance contracts. The kind of investment chosen is... more
The goal of investing is to provide a consistent return without taking any risks. Several investment instruments are available in our nation, ranging from shares or debentures to insurance contracts. The kind of investment chosen is determined by the investor's risk tolerance and income level. Mutual funds are a new and exciting way to invest since they offer diversified investment options, consistent returns, and low risk. However, there is a very low level of awareness of it among our nation's population. Many have been compelled to avoid or even choose not to engage in this type of investment due to their unclear understanding of the matter. The purpose of this study is to determine the degree of mutual fund awareness among Indian investors and to recommend more effective ways to raise that awareness.
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This paper examines India's evolving regulatory framework for virtual currencies (VCs) and virtual digital assets (VDAs). It highlights legislative updates, including amendments to the Companies Act, Prevention of Money Laundering Act,... more
This paper examines India's evolving regulatory framework for virtual currencies (VCs) and virtual digital assets (VDAs). It highlights legislative updates, including amendments to the Companies Act, Prevention of Money Laundering Act, and income tax laws, reflecting the growing significance of VDAs. The study discusses India's proactive role in global crypto regulation as the G20 president and explores potential solutions like smart contracts for managing VDA-related assets. The paper underscores the need for innovative approaches to ensure seamless integration of VDAs within existing legal structures
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In the context of the continuously accelerating rate of change in the digital environment, the use of generative AI as part of the application modernization process of enterprise-wide systems is a transformative opportunity. This paper... more
In the context of the continuously accelerating rate of change in the digital environment, the use of generative AI as part of the application modernization process of enterprise-wide systems is a transformative opportunity. This paper aims to reveal how the effective implementation of generative AI can boost cybersecurity structures and encourage innovativeness in organizations. Advanced threat detection and response systems can automate the processes that are required in identifying a threat, developing a signature, and disseminating the knowledge across the enterprise, optimizing enterprises’ defences against advanced threats. In addition, the creative function of generative AI keeps on contributing to further advancements because people can build upon the insights provided and enhance their software, user interfaces, and processes. Thus, this paper aims to illuminate the specific balances and opportunities associated with having utilized generative AI strategically, ranging from cybersecurity enhancements to perpetually active innovation within larger enterprise environments.
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This study aimed to explore (deeper understanding) challenges pertaining to expansion (population growth and areal extension) of the university town, Ambo, 115 kilometers away, on the west, of Addis Ababa, the capital city of Ethiopia.... more
This study aimed to explore (deeper understanding) challenges pertaining to expansion (population growth and areal extension) of the university town, Ambo, 115 kilometers away, on the west, of Addis Ababa, the capital city of Ethiopia. Descriptive design was adopted and both quantitative and qualitative approaches were employed. The sampling frame comprised public sector employees offering essential and utility services. It also included the residents of the main-town and peripheral town whose stay/association was for more than ten years. Accordingly, quantitative data was analyzed for 270 questionnaires. Significant numbers of questions were included on the Likert Scale. Qualitative data was collected by interviewing 8 key informants. Secondary data was vital for the study. A simple ratio-based analysis was done to show agreed vis-à-vis disagreed responses. Findings suggested a population growth rate of 5.5% per year and a corresponding theoretical increase of built-up area of 8.25%. Responses to challenges of healthy expansion of Ambo town were classified into challenges, problems and issues. Challenges include land management, education, housing, and solid waste management. Further, the town exhibits a linear settlement pattern due to topographic reasons and its location on a highway. Since circular pattern is not feasible a ‘D’ shaped settlement pattern may have to be planned.
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Blockchain technology has emerged as a transformative force in supply chain management, offering a range of benefits that address the pressing challenges faced by modern supply chains. This paper delves into the role of blockchain in... more
Blockchain technology has emerged as a transformative force in supply chain management, offering a range of benefits that address the pressing challenges faced by modern supply chains. This paper delves into the role of blockchain in enhancing the security and traceability of supply chain operations, exploring the key features and potential applications of this disruptive technology. By analyzing existing literature and empirical evidence, this study provides a comprehensive understanding of how blockchain can improve supply chain performance regarding transparency, traceability, sustainability, trust, and cost-efficiency. The findings highlight the significant impact of blockchain in mitigating the risks associated with supply chain disruptions, counterfeiting, and lack of visibility, thereby fostering a more secure and resilient supply chain ecosystem.
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In the ever-evolving landscape of supply chain management, the integration of machine learning (ML) has emerged as a transformative force, driving optimization, automation, and enhanced decision-making. This paper delves into the... more
In the ever-evolving landscape of supply chain management, the integration of machine learning (ML) has emerged as a transformative force, driving optimization, automation, and enhanced decision-making. This paper delves into the multifaceted applications of machine learning in various supply chain processes, exploring its potential to address the growing demands of customers, the pursuit of sustainability, and the increasing complexity of data-driven decision-making. The review of existing research highlights the successful deployment of machine learning techniques, such as reinforcement learning and extended short-term memory models, in addressing supply chain challenges, including demand forecasting, inventory management, and distribution optimization. The rapid technological advancements have paved the way for the application of machine learning, the ability of machines to learn automatically, in various fields, including supply chain management.
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The rise of the Internet of Things (IoT) and blockchain technology has ushered in a new era of supply chain management, offering unprecedented opportunities to enhance transparency, traceability, and trust within complex supply networks.... more
The rise of the Internet of Things (IoT) and blockchain technology has ushered in a new era of supply chain management, offering unprecedented opportunities to enhance transparency, traceability, and trust within complex supply networks. This paper explores the practicability of leveraging these emerging technologies to create a seamless, interconnected system that can address the challenges faced by traditional supply chain paradigms. The landscape of modern supply chain management has undergone a profound transformation, driven by the rapid advancements in digital technologies. Integrating IoT sensors and blockchain-based platforms can revolutionize the way supply chain data is collected, shared, and verified. While the benefits of these technologies are widely recognized, the practical implementation and seamless integration within existing supply chain systems remain a crucial challenge. Key findings from the literature review highlight the pivotal role of blockchain in addressing the limitations of centralized supply chain systems, such as the lack of transparency and trust. The application of IoT and blockchain in supply chain management promises realtime monitoring, end-to-end visibility, and secure data sharing among all stakeholders. By combining these technologies, organizations can create a decentralized, trustless, and tamper-evident system that can enhance supply chain resilience and responsiveness. The challenges of establishing co-opetition among supply chain actors, integrating IoT systems for data quality, and reforming regulatory and legal frameworks must be addressed to fully realize the benefits of this integrated approach.
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In an increasingly volatile and unpredictable global business environment, ensuring supply chain resilience has become critical for organizations. Artificial Intelligence (AI) offers immense potential to enhance supply chain resilience by... more
In an increasingly volatile and unpredictable global business environment, ensuring supply chain resilience has become critical for organizations. Artificial Intelligence (AI) offers immense potential to enhance supply chain resilience by enabling real-time visibility, predictive analytics, and adaptive decision-making. This paper explores the role of AI in strengthening supply chain resilience, examining its applications across various supply chain functions and the associated benefits. The growing complexity of global supply chains, coupled with disruptions from geopolitical events, pandemics, and just-in-time processes, has heightened the need for effective supply chain risk management. AI can enhance supply chain resilience by providing visibility, flexibility, and agility to anticipate, respond, and adapt to these challenges.
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The modern supply chain has become increasingly complex, with many interconnected components and vast amounts of data generated at every stage. Integrating big data and the Internet of Things (IoT) offers significant potential to enhance... more
The modern supply chain has become increasingly complex, with many interconnected components and vast amounts of data generated at every stage. Integrating big data and the Internet of Things (IoT) offers significant potential to enhance supply chain automation, improving visibility, efficiency, and responsiveness. This paper examines the role of big data and IoT in transforming supply chain management, exploring critical applications, challenges, and future trends in this rapidly evolving field.
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Material Requirements Planning (MRP) has long been the cornerstone of manufacturing planning and control systems. However, the rise of big data and advanced analytics has the potential to revolutionize the way MRP is implemented and... more
Material Requirements Planning (MRP) has long been the cornerstone of manufacturing planning and control systems. However, the rise of big data and advanced analytics has the potential to revolutionize the way MRP is implemented and utilized. This research paper aims to explore the impact of big data on MRP, analyzing the potential benefits, challenges, and practical considerations for organizations looking to transition towards a more data-driven approach to material resource planning. Limitations of traditional MRP are identified, and the value of incorporating big data and predictive analytics is examined in depth, highlighting how these emerging technologies can enhance the accuracy, responsiveness, and optimization capabilities of material requirements planning systems.
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The rapid growth of e-commerce has significantly transformed the logistics landscape, posing new challenges and opportunities for supply chain management. This paper explores the integration of e-logistics into supply chain operations,... more
The rapid growth of e-commerce has significantly transformed the logistics landscape, posing new challenges and opportunities for supply chain management. This paper explores the integration of e-logistics into supply chain operations, highlighting its impact on supply chain resilience and disruption management. The paper begins by examining the fundamental model of supply chain management and the relatedness between e-commerce and supply chain management. It then delves into the concept of supply chain resilience, identifying key elements and their interrelationships. The impact of e-logistics on supply chain resilience and disruption management is analyzed, drawing insights from the existing literature. The paper concludes by outlining strategic implications for logistics service providers and suggesting future research directions. E-commerce has brought about significant changes in how enterprises manage their supply chains. It has become a trend for companies to employ e-commerce supply chain management to maintain a competitive advantage. The rise of e-marketplaces and eliminating supply chain elements have posed new challenges and opportunities for logistics service providers. Enterprises must now navigate a more complex global landscape, with a heightened focus on improving service quality and reducing operating costs to remain competitive.
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The rapidly evolving business landscape demands greater agility and responsiveness from supply chain operations. This paper examines how big data analytics and artificial intelligence can enable enhanced cross-functional collaboration to... more
The rapidly evolving business landscape demands greater agility and responsiveness from supply chain operations. This paper examines how big data analytics and artificial intelligence can enable enhanced cross-functional collaboration to drive supply chain agility and competitive advantage. Through an analysis of existing literature, the study explores how IT integration, supply chain flexibility, and data-driven insights can unlock new opportunities for improved decision-making and alignment across functional silos. This paper examines the transformative potential of big data and artificial intelligence in fostering crossfunctional collaboration within supply chain management, ultimately enabling agile decision-making. It explores how these technologies break down traditional data silos, enhance information visibility and transparency, and empower teams across different functions to make coordinated and data-driven decisions in response to dynamic market conditions. The paper will analyze specific use cases, benefits, challenges, and future trends, providing insights into how organizations can leverage Big Data and AI to achieve greater agility and competitiveness in their supply chain operations.
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By combusting hydrogen with oxygen, in Spark Ignition Engine Fuelled by hydrogen, the comparative analysis shows that some amount of water is produced along with fewer amounts of harmful gases, making hydrogen the ultimate in “green”... more
By combusting hydrogen with oxygen, in Spark Ignition Engine Fuelled by hydrogen, the comparative analysis shows that some amount of water is produced along with fewer amounts of harmful gases, making hydrogen the ultimate in “green” fuels. However, in air and at high burning temperatures, it also produces some oxides of nitrogen. These features make hydrogen an excellent fuel, potentially, meeting the ever increasingly stringent environmental controls of exhaust emissions from combustion devices. This also includes the reduction of greenhouse gas emissions. In a 4 stroke SI Engine hydrogen (which is produced by electrolysis) is injected to the engine cylinder with gasoline. emissions are observed by reducing the gasoline supply with the help of exhaust gas analyser. Different emission readings of CO, CO2, HC, NOX are taken by reducing the gasoline supply. Considerable reductions in emissions like CO, CO2 are observed. So with hydrogen as an alternative fuel can be a solution to global warming to certain extent.
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As we all know an electrical grid is an interconnected network for delivering electricity and consists of generators, transmission lines and transformers. In this paper, a more complex test system (modified 36 bus 8 machine EPRI test... more
As we all know an electrical grid is an interconnected network for delivering electricity and consists of generators, transmission lines and transformers. In this paper, a more complex test system (modified 36 bus 8 machine EPRI test system) is considered for the analysis to validate the overall performance of the small signal stability of the system with Ant Colony Optimization (ACO) based supplementary controllers. The proposed design problem is formulated as an optimization task and the above-mentioned technique is used for the optimal selection of controller parameters. In the problem, the objective function is developed by evolving speed deviation between generators. By minimizing the objective function, the stability performance of the system can be improved much. The effectiveness of each controller is compared through dynamic simulation and from the respective responses it was clear that the coordinated controller performs well under large disturbance with a wide range of operating conditions.
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The integration of digital Learning Management Systems (LMS) in design education has the potential to significantly enhance creativity and collaboration among students. This study explores the impact of LMS on fostering creative and... more
The integration of digital Learning Management Systems (LMS) in design education has the potential to significantly enhance creativity and collaboration among students. This study explores the impact of LMS on fostering creative and collaborative learning environments in design programs. By leveraging digital tools such as discussion forums, virtual studios, and collaborative project management features, LMS can transform traditional pedagogical approaches, making them more interactive and engaging. Employing a mixed-methods research design, this study combines quantitative surveys and qualitative interviews with students, educators, and administrators in design schools. The research aims to assess how LMS features contribute to improved student engagement, creativity, and collaboration. Preliminary findings indicate that LMS tools facilitate real-time communication, streamline project workflows, and provide a platform for peer feedback and critique, all of which are crucial for the iterative design process. Furthermore, the study identifies key challenges such as varying levels of digital literacy, the need for adequate technical support, and resistance to change among some educators and students. Despite these challenges, the overall impact of LMS on design education is positive, with significant improvements observed in student collaboration and creative output. In conclusion, this study demonstrates that the effective implementation of LMS in design education can enhance creativity and collaboration, ultimately leading to better educational outcomes. It underscores the need for continuous support and training for both students and educators to fully realize the benefits of digital learning tools. These findings provide valuable insights for educational institutions seeking to modernize their design programs and foster a more dynamic and collaborative learning environment.
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This research paper proposes a novel online wandering algorithm to facilitate autonomous navigation for mobile robots. Leveraging the Free Configuration Eigenspace (FCE) concept, the algorithm enables real-time robot navigation and... more
This research paper proposes a novel online wandering algorithm to facilitate autonomous navigation for mobile robots. Leveraging the Free Configuration Eigenspace (FCE) concept, the algorithm enables real-time robot navigation and obstacle avoidance within unknown dynamic environments. As the robot traverses autonomously, it continuously adapts its trajectory in dynamic environments, seamlessly redirecting itself away from obstacles to maintain its intended path. The algorithm’s efficacy is validated through implementation on a simulated differential drive AMR equipped with an onboard LiDAR sensor, employing Robotics Operating Systems (ROS) and the real-time robotics simulation Gazebo. Comparative analysis is conducted against the established Vector Field Histogram (VFH) algorithm, utilizing various obstacle courses featuring unstructured obstacles and diverse speeds. The findings indicate superior performance of FCE in terms of path length optimization and maintaining safe distances amidst dynamic environments with moving obstacles, as elucidated in the results section.
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– It is experienced that at times we undergo very comfortable and pleasant journeys while at others we seem to be facing impediments almost at every stage of travel. Our Muhurta classics provide a variety of guidance on the timing of... more
– It is experienced that at times we undergo very comfortable and pleasant journeys while at others we seem to be facing impediments almost at every stage of travel. Our Muhurta classics provide a variety of guidance on the timing of undertaking a journey. These include various Panchang components, Disha shool, Lagna considerations, Special Yogs etc. to name a few. In this study, an attempt has been made to document as to how the various classical recommendations apply in practice on a number of major fatal air accident cases witnessed in the past.
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Background: Women's health is a priority, and this includes treating diseases and ailments like premenstrual syndrome (PMS) that compromise their mental and physical health. One of the most crucial objectives of civilizations' social and... more
Background: Women's health is a priority, and this includes treating diseases and ailments like premenstrual syndrome (PMS) that compromise their mental and physical health. One of the most crucial objectives of civilizations' social and economic development is the health of women. Objectives: To estimate and compare the serum levels of calcium, magnesium and iron in women with PMS and those without PMS during pre & postmenstrual phases. Materials and Methods: The study collected blood samples from 122 women, aged 18-40, to investigate levels of calcium, magnesium, and iron in their serum during premenstrual and postmenstrual phases. The study was conducted at NIMS College, and included interns, hospital staff, non-teaching staff, and university students with regular menstrual cycles. Results: We discovered a significant difference in serum calcium levels between the pre and post-menstrual phases, with no variation in serum magnesium levels, and there was a significant difference in serum iron levels among the pre and post-menstrual phases. Conclusion: The elevation in these parameters (serum calcium & iron) is statically highly significant (p<0.001) and there was no statically significant elevation in serum magnesium (p=0.9887) levels in subjects with PMS compared to pre and postmenstrual phases.
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Microservices’ architectural style has emerged as a proper tool for developing contemporary flexible and evolvable software systems. Therefore, microservices enable scalability, agility, fair measure of fault tolerance, and heterogeneity... more
Microservices’ architectural style has emerged as a proper tool for developing contemporary flexible and evolvable software systems. Therefore, microservices enable scalability, agility, fair measure of fault tolerance, and heterogeneity by breaking up modular applications into numerous services. However, this architectural paradigm has its own set of issues and includes a number of questions that organizations should answer. The goal of this paper is to outline the primary advantages and possible drawbacks of the microservices architecture and to propose an intelligent microservices architecture that leverages AI and ML to support flexibility, automation, and optimization. This is to ensure that there is an explanation of why something should be done in a particular manner and how it may achieve the intended goals of the given process.
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Personalization has emerged as the bedrock technology for digital businesses that seek to deliver exceptional customer experiences, increase interactions, and lift NPS. Right at the center of personalization are the recommender systems,... more
Personalization has emerged as the bedrock technology for digital businesses that seek to deliver exceptional customer experiences, increase interactions, and lift NPS. Right at the center of personalization are the recommender systems, powerful and complex algorithms that, given several inputs, can forecast user habits and recommend what is most likely to be of interest to the user. In this paper, the author draws the contour of using recommender systems for personalization, considering the stages of candidate generation and ranking, the mechanisms of explicit and implicit feedback, and the major difficulties of employing these systems. By methodical examination, this paper discusses the progress of recommender systems and their influence on the field of personals.
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Research Interests:
The Value Added Tax (VAT) is a type of indirect tax that is imposed on goods and services. The VAT is considered with all other forms of taxes in many countries, the most important source of income. The Value Added Tax is directly aimed... more
The Value Added Tax (VAT) is a type of indirect tax that is imposed on goods and services. The VAT is considered with all other forms of taxes in many countries, the most important source of income. The Value Added Tax is directly aimed to be collected from consumers. The VAT is a tax on consumption applied at a basic rate of five percent, to be imposed on goods and services in the Oman. The Oman has imposed Value Added Tax (VAT) on a selected set of products and services on 16 April, 2021 as per 2016, GCC unified VAT Agreement. In this study tried to explore if consumers in Oman are aware of VAT, and to explore their possible react when VAT is introduced. The researcher searched into literatures that could support the study, distributed a questionnaire to collect data. A statistical analysis method was chosen, utilizing IBM, SPSS and MS Excel to analyze data collected and presents study results. The study concludes that consumers in Oman have a moderate knowledge to VAT, hence the study recommends that governments need to do more awareness campaign on VAT. The next aim of the study was to examine if VAT will impact consumers, the results from the study confirmed that, and recommended to minimize that effect, by reducing VAT rate, expand goods and services which are exempt from VAT and supporting consumers with low income. Purpose: To identify the consumers awareness level of VAT in Sultanate of Oman, examine the expected VAT impact on consumers and identify possible VAT influence on consumers spending’s & savings habits. Research Methodology: The Research Methodology of this research is explained in this research paper in details. The Techniques and process of sampling, instruments and tools of collecting data, and how this data was analysis and designed to serve the aim of the study.
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The integration of blockchain technology in document storage offers a transformative approach to ensuring data security, integrity, and accessibility. This paper explores the application of blockchain for document storage, highlighting... more
The integration of blockchain technology in document storage offers a transformative approach to ensuring data security, integrity, and accessibility. This paper explores the application of blockchain for document storage, highlighting its advantages over traditional storage systems. Key benefits include enhanced security through cryptographic encryption, immutability ensuring tamper-proof records, and decentralized access control that reduces dependency on centralized authorities. The study examines various blockchain-based document storage solutions, discusses realworld use cases, and addresses potential challenges such as scalability and regulatory compliance. By leveraging blockchain, organizations can achieve more reliable and transparent document management systems, paving the way for innovative advancements in data storage and protection.
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Research Interests:
Searching is one of the important operations in computer science. Retrieving information from huge databases takes a lot of processing time to get the results. The user has to wait till the completion of processing to find whether search... more
Searching is one of the important operations in computer science. Retrieving information from huge databases takes a lot of processing time to get the results. The user has to wait till the completion of processing to find whether search is successful or not. In this research paper, it provides a detailed study of Binary Search and how the time complexity of Binary Search can be reduced by using Odd Even Based Binary Search Algorithm, which is an extension of classical binary search strategy. The worst case time complexity of Binary Search can be reduced from O(log2N) to O(log2(N-M)) where N is total number of items in the list and M is total number of even numbers if search KEY is ODD or M is total number of odd numbers if search KEY is EVEN. Whenever the search KEY is given, first the KEY is determined whether it is odd or even. If given KEY is odd, then only odd numbers from the list are searched by completely ignoring list of even numbers. If given KEY is even, then only even numbers from the list are searched by completely ignoring list of odd numbers. The output of Odd Even Based algorithm is given as an input to Binary Search algorithm. Using Odd Even Based Binary Search algorithm, the worst case performances in Binary Search algorithm are converted into best case or average case performance. Therefore, it reduces total number of comparisons, time complexity and usage of various computer resources.
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The article considers the main aspects of the relationship of individual psychological characteristics and motivational component with the level of ability to master foreign languages. It was found that the ability to learn a foreign... more
The article considers the main aspects of the relationship of individual psychological characteristics and motivational component with the level of ability to master foreign languages. It was found that the ability to learn a foreign language affects the level of overall academic performance. The following diagnostic parameters and factors for predicting academic success are identified: the level of language training; dominance of the left or right hemisphere of the brain; level of anxiety; properties of higher nervous activity; motivational component. In the course of the analysis it was established that the group of students with a low level of success is a risk group in mastering foreign languages. This group is characterized by a low motivational component, a high level of stress and anxiety. According to the obtained results it is possible to improve the organization of educational process at staffing of educational groups, with an even distribution of students with high and medium levels of projected performance. In addition, risk areas have been identified for the formation of special control groups that need additional pedagogical assistance and an individual approach to learning.
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Now-a-days, there is an increasing demand for data integration and analytics due to the availability of huge amount of records in multiple data sets. In data integration, record linkage gains prominent importance to identify and match... more
Now-a-days, there is an increasing demand for data integration and analytics due to the availability of huge amount of records in multiple data sets. In data integration, record linkage gains prominent importance to identify and match records across data sets that belong to the same person. Record linkage becomes complicated with presence of erroneous identifiers and hence needs approximate matching to find similarities between the same person records. Also, the data sharing for record linkage can lead to disclosure of confidential information about the personal records. Thus, Privacy preserving record linkage (PPRL) involves detecting and matching of records among two or more data sets in a secure manner. It is useful for the purpose of research activities and analysis across wide application areas. The utilization of Bloom filter encoding with its hardened versions are suitable for approximate matching in PPRL, but some of them are vulnerable to re-identification attacks while others reduce linkage accuracy. Moreover, phonetic encoding can provide robust matching with its inherent security characteristic for PPRL. However, most of existing PPRL techniques had attempted to provide privacy while compromising the linkage accuracy. This research focuses on designing a new approach named as two factor encoding for PPRL (2FE-PPRL) using phonetic and Bloom filter encoding to achieve increased linkage accuracy while maintaining privacy. Our 2FE-PPRL approach depicts better results than existing PPRL techniques Phonetic and Bloom Filter encoding as analyzed through precision, recall and f-measure.
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Fire prevention and fighting is significantly important to protect the properties of the State, the organizations and the lives, the health and properties of the citizens in all countries. Every year, the world is seriously affected by... more
Fire prevention and fighting is significantly important to protect the properties of the State, the organizations and the lives, the health and properties of the citizens in all countries. Every year, the world is seriously affected by fires and explosions. Therefore, the application of advanced science and technology, especially artificial intelligence (AI) in fire prevention and fighting has been concerned by the governments of countries. However, the results and its application are still limited and uneven in countries and regions. This article presents the role, the practice, applicability and recommendations of AI application in fire fighting and prevention in the current situation
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In the world of today’s telecommunication and internet based digital business economy, mobile banking is a milestone for banking sector. Like other developing countries, the service firms like mobile banking services of Pakistan are very... more
In the world of today’s telecommunication and internet based digital business economy, mobile banking is a milestone for banking sector. Like other developing countries, the service firms like mobile banking services of Pakistan are very much conscious about the importance of customer satisfaction. This study attempts to empirically analysis the effect of mobile banking on customer satisfaction in the Pakistani banking sector. Study is based on 111 samples collected through self administrated survey. It is concluded that perceived usefulness, ease of use, credibility and customer attitude have significant influence on determination of customer satisfaction in banking sector. Study recommended that the Bank management should strive for providing more value added services in their mobile banking apps and design more user friendly m-banking apps to enhance customer experience so that more people can transact and fulfill their essential banking needs through mobile Banking
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his research paper will basically conduct an explicit view of Kerbside recycling application, namely Concycle, along with its dedicated process on development, literature review on how the physiological factors affect how an individual... more
his research paper will basically conduct an explicit view of Kerbside recycling application, namely Concycle, along with its dedicated process on development, literature review on how the physiological factors affect how an individual contributes towards recycling, and more. Throughout this research paper, there is analysis of social behavior towards recycling
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Various changes have been taking place in procurement, manufacturing, and physical distribution system globally. The manufacturing firms have been facing challenging tasks in managing complex logistics and supply chain management issues.... more
Various changes have been taking place in procurement, manufacturing, and physical distribution system globally. The manufacturing firms have been facing challenging tasks in managing complex logistics and supply chain management issues. Due to the intensity of competitive forces, firms attempt to focus on various aspects of logistics to reduce cost, improve quality, and manage responsiveness and thereby develop a competitive advantage. Multiple procurement activities such as material specification, value analysis, supplier relationship management, negotiation, buying, quality assurance, and inbound transportation are essential for firms due to their overall impact on profitability, customer service, and quality management. These factors are given importance by manufacturing firms while setting logistics objectives in a supply chain system. The logistics objectives such as minimization of inventory, consistent and reliable delivery, freight economy, minimization of product damages, quick response system, and quality improvement are closely linked to the management of procurement systems in modern organizations. Hence, the study attempts to analyze the impact of procurement activities on the setting of logistics objectives by the manufacturing firms in the UAE
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Firms are giving increased attention to servitization because it is one of the major trends in the continuation from digitization for improving the customer experience with data-driven services. The purpose of this study is to examine how... more
Firms are giving increased attention to servitization because it is one of the major trends in the continuation from digitization for improving the customer experience with data-driven services. The purpose of this study is to examine how consumer innovativeness and product familiarity influence the adoption of servitization by customers. To explore the relationship between consumer innovativeness and the adoption of servitization, this research proposes a framework that suggests the relationships between consumer innovativeness, product familiarity, usefulness and ease of use as perceived by customers, and intention to use on the adoption manner of servitization. Our analysis results indicate that consumer technology innovativeness and product familiarity are positively related to perceived usefulness and ease of use of servitization, even if consumer fashion innovativeness is denied. Finally, the results indicate that the perceived usefulness and ease of use have statistically significant and positive effects on the intention to use. A moderating effect of price sensitivity is adopted between the perceived usefulness and intention to use on high- and low-price sensitivity, and ease of use on high price sensitivity.
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The study mainly wanted to find out the aspects having an impact on the entrepreneurship growth and progress of small and micro agribusiness firms. First hand responses from 100 proprietors/supervisors of small and micro agriculture... more
The study mainly wanted to find out the aspects having an impact on the entrepreneurship growth and progress of small and micro agribusiness firms. First hand responses from 100 proprietors/supervisors of small and micro agriculture related business projects in Garhwal mandal region of Uttrakhand state was rationally chosen for the research. The same was analyzed using expressive statistical tools and models of multiple regression of analysis. Results explain majority of the owners and managers of agribusiness being male (86%), married (75%). The results of the study revealed that the greater part of the respondents (55%) had graduation level education and had started agribusiness (48%) because they could not find any other source of earning livelihood Factor analysis from various regression analysis illustrated that factors like age, gender, marital status and probable production volume had an encouraging association with the level of association with agribusiness enterprise while the entrepreneur’s family size and key source of livelihood had negative relationship. Secondary source of income, membership of Cooperative and educational skills were not extensively correlated with level of involvement in agribusiness enterprise development. The research paper advocates useful and satisfactory entrepreneurship policies such as removal of middle men as they hinder the growth and development of agribusiness entrepreneurship as a way of actualizing the existing startup schema of the present government of Garhwal region of Uttarakhand State on entrepreneurship encouragement
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Indian Modern Food Retail Chains (MFRC) have been growing as the fastest in developing countries for the last two decades. What impact will it have on existing fruits and vegetables (F&Vs) supply chains, procurement price offered to... more
Indian Modern Food Retail Chains (MFRC) have been growing as the fastest in developing countries for the last two decades. What impact will it have on existing fruits and vegetables (F&Vs) supply chains, procurement price offered to farmers and consumers’ purchase prices? This paper analyses the evolution of MFRC, particularly during the last two decades. Further, the paper traces the current structure and expansion of retailing through supermarkets in India and discerns the strategy of the retail chains and price spread in F&Vs. This paper is based on primary survey and data were collected in 2019 in Chennai, Tamilnadu. Field findings show that domestic modern retailers resort to joint ventures with other international companies mainly for utilizing their international experience, expertise in brand development and retail led technological development. The authors noted that the MFRC have shifted away from the use of spot markets towards purchasing directly from the farmers for differentiating their product from traditional retailers, maintaining higher product quality, consistency and cutting costs in order to compete with the traditional players and wet markets. This paper concludes that most of the F&Vs and MFRC offer higher prices to the farmers as compared with traditional and spot market prices
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In 2019, the People's Representative Council of Indonesia pledged to be a modern parliament, characterized by openness, effective representation, and optimal use of information technology. The Parliament’s supporting system, namely the... more
In 2019, the People's Representative Council of Indonesia pledged to be a modern parliament, characterized by openness, effective representation, and optimal use of information technology. The Parliament’s supporting system, namely the organization of the Secretariat General, is integral in the journey of realizing this pledge. This paper aims to identify the priority factors of organizational, human resource, and technological capabilities required to realize a modern parliament. The paper first identifies different factors influencing organizational, human resource, and technological capabilities that are necessary in a modern parliament. The identification is made on the basis of literature review and questionnaire distributed to experts. The paper then finds their relative importance by prioritizing them using the analytical hierarchy process (AHP). We conducted a hierarchy construction procedure which involved in-depth interviews and focus group discussion (FGD) with six internal experts and six external experts (academics and practitioners). This paper finds that the priority strategy to improve organizational, human resource, and technological capabilities is the formulation of policies using system based and future organization approach (0.247). Meanwhile, the key factors that support strategy implementation are the organization’s vision, mission, and human resource (0.264)
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This paper deals with the effect of VSC-HVDC link on two area load frequency control having thermal-thermal power system interconnection under varying load as well as step change in load. The latest technology power electronic based HVDC... more
This paper deals with the effect of VSC-HVDC link on two area load frequency control having thermal-thermal power system interconnection under varying load as well as step change in load. The latest technology power electronic based HVDC transmission line having numerous advantage in order to improve the frequency control and enhancing the stability in the transmission network. The VSC based HVDC transmission mainly consists of two converter stations connected by a DC cable. The performance is evaluated by using MATLAB/Simulink.
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The concept of Spirituality is difficult to understand on a superficial level. However, God is present in all of us. Trying to find that godliness or connecting with that inner God is how spirituality can be defined for a layman.... more
The concept of Spirituality is difficult to understand on a superficial level. However, God is present in all of us. Trying to find that godliness or connecting with that inner God is how spirituality can be defined for a layman. Spirituality is a broad concept and is not limited to religion alone. It is not necessary that spirituality can be obtained through only a single, specific source. Each human being has an equal right for being spiritual and practice different ways of attaining spirituality. Every religion has been teaching humans to become better persons, selfless in giving. But there are different aspects of spirituality that need to be explored. This paper is an attempt to understand the concept of spirituality, its importance and the outcomes of the same amongst the citizens of Pune. The major findings reveal that spirituality is gender unbiased and that family is the primary influencer in the process of spirituality. A majority of the respondents associated peace of mind and meditation with spirituality and this can help them in overcoming situations of crisis. The research helped in developing a simple scale to measure affinity or liking towards spirituality. The research also helped in understanding the importance of technology in the process of exploring the self. Though the research is confined to a particular city, Pune, the outcome that Spirituality can be perceived as any way through which an individual realizes the connections with the external world, attains peace of mind and contentment, and becomes a better version of self where age, income, education, occupation, gender, egos do not matter at all, has global implications..
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Hydraulics now a days is a very distinguished area which has lot of major challenges often came in its progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions, Water can be easily available... more
Hydraulics now a days is a very distinguished area which has lot of major challenges often came in its
progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions,
Water can be easily available but in certain times it may be scarce also. The available water vary according
to its properties. It exists in normal conditions as well as salty or hardy due to deposits. Majority of Water
is contaminated with minerals, dust or dirt. Often pure water which may be acidic or alkaline can be used
for making discharges through the Turbines. When Water flows in and out, it affects different parameters.
The important parameters which affect the performances of Turbines are:
• Rated Discharge
• Rated Power
• Rated Efficiency (at full load and part load)
• Rated Head
• Rated Speed
progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions,
Water can be easily available but in certain times it may be scarce also. The available water vary according
to its properties. It exists in normal conditions as well as salty or hardy due to deposits. Majority of Water
is contaminated with minerals, dust or dirt. Often pure water which may be acidic or alkaline can be used
for making discharges through the Turbines. When Water flows in and out, it affects different parameters.
The important parameters which affect the performances of Turbines are:
• Rated Discharge
• Rated Power
• Rated Efficiency (at full load and part load)
• Rated Head
• Rated Speed
Research Interests:
Finding women in the families and in the communities as managers in disaster risk reduction with the enhanced capacities and potentialities is the objective of this study. No doubt women have been considered as one of the most vulnerable... more
Finding women in the families and in the communities as managers in disaster risk
reduction with the enhanced capacities and potentialities is the objective of this study.
No doubt women have been considered as one of the most vulnerable stakeholders due
to the social structure, culture and age old practices. Despite of their limitations and
obstacles, women with their inner potentialities, experiences and acquired capacities
contributed and participated wholeheartedly lessening vulnerabilities and risk in and
through their participation in prevention, mitigation, preparedness, response,
rehabilitation and recovery activities. Women have proved themselves as disaster
manager not only in their families but also in their communities in and through rescue
operation and evacuation to their own children, elders and other dear ones and feed
the family members and relatives and neighbors affected by the disasters. The study was
carried out with the mixed methods of data collection like semi structured questionnaire
for household survey, personal interview and interaction and focused group
discussions.
Instead of looking women as mere vulnerable stakeholders in the society, must
include and involve them in planning, decision making and implementation of disaster
cycle management as the innumerable studies have not only found out their weakness
but their strength and power to reduce risk and vulnerabilities in risk and crisis
management. The major finding and recommendation of women’s strength and
opportunities will help the policy makers, planners and readers allow women to involve
in the process of disaster cyclone management as men and other professional.
reduction with the enhanced capacities and potentialities is the objective of this study.
No doubt women have been considered as one of the most vulnerable stakeholders due
to the social structure, culture and age old practices. Despite of their limitations and
obstacles, women with their inner potentialities, experiences and acquired capacities
contributed and participated wholeheartedly lessening vulnerabilities and risk in and
through their participation in prevention, mitigation, preparedness, response,
rehabilitation and recovery activities. Women have proved themselves as disaster
manager not only in their families but also in their communities in and through rescue
operation and evacuation to their own children, elders and other dear ones and feed
the family members and relatives and neighbors affected by the disasters. The study was
carried out with the mixed methods of data collection like semi structured questionnaire
for household survey, personal interview and interaction and focused group
discussions.
Instead of looking women as mere vulnerable stakeholders in the society, must
include and involve them in planning, decision making and implementation of disaster
cycle management as the innumerable studies have not only found out their weakness
but their strength and power to reduce risk and vulnerabilities in risk and crisis
management. The major finding and recommendation of women’s strength and
opportunities will help the policy makers, planners and readers allow women to involve
in the process of disaster cyclone management as men and other professional.
Research Interests:
Managing and accessing resources across cloud service providers (CSPs) in today's dynamic cloud computing environment poses security challenges. This paper explores the domain of federated access control and its ability to seamlessly and... more
Managing and accessing resources across cloud service providers (CSPs) in today's
dynamic cloud computing environment poses security challenges. This paper explores
the domain of federated access control and its ability to seamlessly and securely
navigate the intricacies of multi-cloud environments. It highlights the security issues,
such as the need for compliance and governance, identity and access management
challenges, and data security and privacy concerns. Additionally, it discusses how to
implement federated access control practically and offers best practices for doing so.
The paper's findings underscore the paramount importance of federated access control
in preserving the balance between security and privacy while harnessing the vast
potential of multiple CSPs.
dynamic cloud computing environment poses security challenges. This paper explores
the domain of federated access control and its ability to seamlessly and securely
navigate the intricacies of multi-cloud environments. It highlights the security issues,
such as the need for compliance and governance, identity and access management
challenges, and data security and privacy concerns. Additionally, it discusses how to
implement federated access control practically and offers best practices for doing so.
The paper's findings underscore the paramount importance of federated access control
in preserving the balance between security and privacy while harnessing the vast
potential of multiple CSPs.
Research Interests:
In this research paper, it is widely recognized that innovation plays a central role in the competitiveness of companies and countries. Innovation is understood to be the key driver of productivity. Innovation helps businesses improve the... more
In this research paper, it is widely recognized that innovation plays a central role in the competitiveness of companies and countries. Innovation is understood to be the key driver of productivity. Innovation helps businesses improve the way products and services are delivered and delivered, or introduce entirely new ones. The author can say that an entrepreneur is a person who is willing to take risks at his own risk, applying new ideas (production, trade, management) to undertake and implement new economic projects with a profitable orientation. The entrepreneur prepares, implements, and controls his project and usually makes his own decisions
Research Interests:
In water resources and more specifically in hydrology, the application of mathematical models to represent the hydrological cycle process is crucial. This is the reason why the hydrological concepts are expressed in mathematical language... more
In water resources and more specifically in hydrology, the application of mathematical models to represent the hydrological cycle process is crucial. This is the reason why the hydrological concepts are expressed in mathematical language to represent the corresponding behavior observed in the nature. The current research targeted to develop a hydrological model using HEC-HMS model version 4.7.1 for runoff estimation in Cameron Highlands, Pahang, Malaysia. The Geographic Information System (GIS) was utilized to identify the geometric and hydrologist parameters. The Soil Conservation Service-Curve Number (SCS-CN) Method was adopted to estimate the rainfall losses while the Soil Conservation Service-Curve Number (SCSCN) Method was used to transform the excess rainfall into a direct runoff hydrograph. Muskingum Model was adopted for routing the total runoff from the outlet of the sub-basin to the outlet of the total basin. Model calibration was achieved using different sets of data (CN, Lag time and Muskingum K) in which the data used was for seven years (2000 to 2007). Results of model calibration showed very good fit between the simulated and observed data based on Coefficient of determination (R2 ) = 0.9, Nashsutcliffe Efficiency = 0.92, Root Mean Square Error = 0.1 and the Percent Bias = 0.77%. The model validation was accomplished based on data for couple of years (2007 to 2009) and it is indicated there is a very good matching between the simulated and observed hydrograph. Eventually, based on what have been presented earlier, it can be concluded that the model can be utilized for the Cameron Highland Watershed.
Research Interests:
Ordinary concrete is widely used in construction engineering due to its high compressive strength, low cost and abundance in raw material. However, the main problem of plain concrete is weak in resistance to tensile loads; constituting a... more
Ordinary concrete is widely used in construction engineering due to its high compressive strength, low cost and abundance in raw material. However, the main problem of plain concrete is weak in resistance to tensile loads; constituting a major restriction to its usage. Carbon Nanotubes (CNTs) tend to be most aspirational Nano material having favorable mechanical properties and developed aspect ratio, for reinforcing cementitious elements which are weak in tension. Nevertheless, CNTs may agglomerate within the cement matrix due to high Van der waals forces, resulting in low enhancement or even deterioration of concrete. Therefore, the objective of this literature survey is to summarize the past experimental data on the properties of concrete with carbon nanotubes. The prime objective is to identify the optimum content of CNT in concrete for improving the Compressive and Flexural strength of concrete. The Optimum Content of CNT in the concrete is the most important parameter that highly influences its mechanical properties, workability, durability and various other properties.
Research Interests:
Road development requires great investments not just for building of brand new infrastructure but additionally for that fix and also repairs and maintenance of outdated models. Just in case of establishing countries, including India,... more
Road development requires great investments not just for building of brand new infrastructure but additionally for that fix and also repairs and maintenance of outdated models. Just in case of establishing countries, including India, there's a lack of funds necessary for brand new infrastructure projects equally for construction plus more considerably for their repairs and maintenance. The latest concentration is about the development of long-range executing pavement. The majority of the roads of ours are bituminous pavements that are indicating premature indication of distresses such as rutting, cracking, ageing, and others as a result of boosting a lot, severeness of heavy traffic, higher tyre stress, and so on. Concrete pavements will be used as a substitute to classic bituminous pavements. Among the potential substitute rehabilitation strategies to bituminous overlays stands out as the usage of white topping overlay on a current bituminous pavement. With this research an effort is manufactured to assess life cycle cost analysis of bituminous and concrete pavements & recommend an advantageous option among them. Life-cycle cost evaluation (LCCA) is a crucial element of contemporary roadway infrastructure style as well as method choice. LCCA embraces upkeep and also rehabilitation costs, not only original building costs when analyzing pavement options. This particular undertaking provides research on LCCA of highways and in addition throws light about the previous literature deliver the results. The range of living cycle being can vary therefore and considerably the outcomes are hypersensitive on the outlined method borders. Road user prices in connection with road works out turns into a pertinent parameter of life cycle cost analysis of pavements for selecting optimum option. Future rehabilitation expenses were lowered. The perfect alternative would bring about higher succeeding costs in case it wasn't optimized. Life cycle costing is a strategy that provides project managers a choice assistance tool to pick. To determine the managerial effects of the increased performance as well as upkeep expenses, the expenses have to become assessed within an advantage managing viewpoint. Environmentally friendly excellence is possible through decrease in setting pollution as talked about earlier. The quality remains the exact same. The advancement of a life cycle expense application provides for the evaluation of a variety of design and style alternatives to figure out what pavement style would be the majority of economical during the complete life cycle of the pavement.
Research Interests:
Pipes laying on an unstable slope of soft soil are prone to movement. Pipelines that are buried in unstable slope areas will move due to lateral loads from soil movement which can cause damage to the pipeline. A laboratory small-scale... more
Pipes laying on an unstable slope of soft soil are prone to movement. Pipelines that are buried in unstable slope areas will move due to lateral loads from soil movement which can cause damage to the pipeline. A laboratory small-scale model of the reinforcement system of piles supported retaining walls was conducted to investigate the effect of lateral load on the reinforcement. In this experiment, the lateral forces of 0.3 kN, 0.35 kN, and 0.4 kN and vertical force of 0.05 kN, 0.1 kN, and 0.15 kN were used. Lateral load from electric jack is equipped with load cell and vertical load used cement-steel box. To validate the experimental result, a finite element program was used. The experimental results showed that an increase in lateral loading, increased the displacement of the reinforcement system. For a Vertical Load 0.05 kN and versus a lateral load of 0.3 kN causes a horizontal displacement of 0.34 mm and an increased of 2.94 % for loading of 0.35 kN and an increased of 8.82% for loading 0.4 kN. The pattern is the same in the finite element method analysis, where there was a 2.38% increased for 0.35 kN loading and an increased to 33.33 % for 0.4 kN loading. In the same Load, the Reinforcement System is reliable as shown in Safety Factor on dry condition were 3,33, 2,828 and 2,476, and on wet condition were 2,99, 2,524 and 2,237.
Research Interests:
The aim of this research article is to fabricate and study the behavior of aluminum nano composites (ANCs). The aluminum nano composites were commonly used for higher performance applications such as military, aerospace, and automotive... more
The aim of this research article is to fabricate and study the behavior of aluminum nano composites (ANCs). The aluminum nano composites were commonly used for higher performance applications such as military, aerospace, and automotive because of their enhanced properties such as mechanical, physical, and wear. The zinc oxide (ZnO) nano-sized particles were synthesized by using a simple combustion method. The synthesized nanoparticles were characterized through X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and EDX analysis. The fabrication of nano composite, ZnO NPs were used as reinforcement and Al-Si7.0-0.5Mg alloy as the base alloy. The synthesized ZnO NPs were added with base alloy with various percentages ranges from 1.0, 2.0, 3.0, 4.0, and 5.0 Wt.% through stir casting method. Wear test was carried out at varying weight of reinforcements verses varying load and constant speed. The obtained reveal that the microhardness is improved with addition of 5wt.% of ZnO NPs. The rate of wear enhanced with increasing the percentage of reinforcements at 5 wt.% of ZnO NPs.
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Since its inception, friction stir welding, FSW has been promising easy operation and environmental stewardship through contact friction between the tool and the weld part. The Aluminum alloy 2024-T351 was used in both working pieces. Six... more
Since its inception, friction stir welding, FSW has been promising easy operation and environmental stewardship through contact friction between the tool and the weld part. The Aluminum alloy 2024-T351 was used in both working pieces. Six processes in FSW may include sticking, plunging into the welding pieces, half and full sliding, full welding along the joint line for the weld to be created, and spacing when picking away the welding tool from the weld. In determining the weld quality, their values should be within a safe range during the welding process, to derive heat from friction, modifying the parameters of the process causes variation in force in the traverse and axial directions. The ability to measure forces and understand their relationship with welding parameters is essential to a successful FSW energy strategy. The analytical models presented in this study depict each welding phase as it occurs and can be applied to predict welding forces and the heat energies.
Research Interests:
This paper proposes the analysis and review of different factors of wind farm connected grid station. the ideal situation is rarely mate by wind farm due to this similar condition for difference reasons. In this study the model is of wind... more
This paper proposes the analysis and review of different factors of wind farm connected grid station. the ideal situation is rarely mate by wind farm due to this similar condition for difference reasons. In this study the model is of wind farm connected grid is developed with maximum capacity. A data of for months in real time was collected, simulated results were analyzed and the same was reviewed carefully by increasing the capacity from 750MW to 1250MW. The validity of results was found satisfactory by comparing the simulated results with the real data.
Research Interests:
The increasing utilization of renewable energy sources (RESs) plays a vital role within the modern grid. The high penetration of the RESs within the electric power network results in challenges to the system’s stability. This paper... more
The increasing utilization of renewable energy sources (RESs) plays a vital role within the modern grid. The high penetration of the RESs within the electric power network results in challenges to the system’s stability. This paper presents a multifunctional grid connected converter, controlled using current loop control. The multifunctional converter acts as an interface between various non-conventional sources and also the grid. The battery is employed to either supply or store power surges or transients. Multifunctional features of the converter includes active power injection, active power compensation, reactive compensation, harmonics compensation and other modes. The validity of the proposed model is verified within the real-time simulation of Typhoon HIL software.
Research Interests:
The modeling, simulation and control strategy of a hybrid power system (HPS) integrating a wind energy conversion system(WECS) and a solar photovoltaic system (SPV). The model includes wind turbine, photovoltaic panels, permanent magnet... more
The modeling, simulation and control strategy of a hybrid power system (HPS) integrating a wind energy conversion system(WECS) and a solar photovoltaic system (SPV). The model includes wind turbine, photovoltaic panels, permanent magnet synchronous generator (PMSG), power converters and maximum power point tracking (MPPT) controllers. A supervisory control unit, designed to execute maximum power point tracking (MPPT), is introduced to maximize the simultaneous energy harvesting from overall power generation under different climatic conditions. Two contingencies are considered and categorized according to the power generation from each energy source, and the load requirement. In PV system Perturb & Observe (P&O) algorithm is used as control logic for the Maximum Power Point Tracking (MPPT) controller and Hill Climb Search (HCS) algorithm is used as MPPT control logic for the Wind power system in order to maximizing the power generated. The dynamic behavior of the proposed HPS is examined under different conditions based on wind speed variation and solar radiations. The developed HPS consists of a 50 W photovoltaic panel and 300 W wind turbine. The resultant model offers a good strategy to ensure power reliability under all conditions using renewable energies. A Simulinkmodel of the proposed Hybrid system with the MPPT controlled Boost converters and Voltage regulated Inverter for stand- alone application is developed in MATLAB.
Research Interests:
Avionic bay equipment tends to malfunction or fail out rightly when they operate in an environment with temperature outside the required range. Thus, it becomes imperative to device means by which this temperature may be controlled. In... more
Avionic bay equipment tends to malfunction or fail out rightly when they operate in an environment with temperature outside the required range. Thus, it becomes imperative to device means by which this temperature may be controlled. In this paper, Boeing 747 (B747) aircraft is taken as a case study. Boeing 747 utilizes cooling from the Environmental control system (ECS) to control avionics temperature. This is however a very expensive process for the aircraft in terms of fuel consumption and weight increase. The modelling, numerical simulation and intelligent control of the ECS are performed in this study by comparing the ambient temperature and desired avionics temperature range per time. The model equation is obtained based on the principles of heat transfer using First law of thermodynamics. The simulation of the developed Internal Model Control (IMC) based Proportional Integral Derivative (PID) model is done using MATLAB 8.5 (R2018a). The parameters of the PID controller are tuned using IMC. A comparative analysis with other tuning techniques such as ZieglerNichols (Z-N) and Cohen-Coon (CC) was also carried out. The performance evaluation of the methods is done using rise time, settling time and percentage overshoot as metrics. Results obtained from the analysis are presented in a graphical and tabular format, which shows that the developed IMC-PID controller model could be of significance to the Avionic Engineers as it gives better results compared with the conventional ZN-PID and CC-PID controller models.
Research Interests:
Singing bowl/Himalayan bowl is a type of standing bell played by rubbing its rim with a wooden mallet. They produce a variety of vibrations to reinstate the natural frequencies of unhealthy and out-of-tone parts responsible for thoughts,... more
Singing bowl/Himalayan bowl is a type of standing bell played by rubbing its rim with a wooden mallet. They produce a variety of vibrations to reinstate the natural frequencies of unhealthy and out-of-tone parts responsible for thoughts, emotions and behaviours. The electrical impulses released in the brain during the communication of neurons are known as brain waves. In this work, sixty-five trained subjects of various categories play the singing bowl, and their EEG signal values are taken before playing, during the playing of the bowl and after playing. The signals are recorded during the above durations. Various brain signals (delta, theta, low alpha, high alpha, low beta, high beta and gamma), are observed and analysed for this purpose. These waves are ranked for each instance. The contribution of brain waves at each rank before and after playing the bowl are compared to extract the impact of singing bowl playing on the brain.
Research Interests:
In this study, we analyzed and predicted the software development cost applicable to system solutions based on the lifetime distribution of the Gamma family (Erlang and Log-Logistic) which is widely utilized in the field of software... more
In this study, we analyzed and predicted the software development cost applicable to system solutions based on the lifetime distribution of the Gamma family (Erlang and Log-Logistic) which is widely utilized in the field of software reliability testing together with the Goel-Okumoto basic model. Also, the optimal development cost model was suggested through these analysis results. For this, software failure time data was used, the parametric calculation was applied to the maximum likelihood estimation (MLE) method, and nonlinear equations were solved by a numerical method (bisection method). As a result, First, the cost curve shape of all proposed models decreased in the initial stage but continuously increased in the later stage because the probability of finding the remaining defects is gradually lowered. Second, if the cost of eliminating a single defect found in the testing process increased, the development cost also increased, but the release time did not change. Third, if the defect correction cost discovered by the operator during the operation stage increased, the development cost at the time of release is increased, and the release time is also delayed. Also, it was confirmed that the Erlang distribution model showed the best performance because it has a lower software development cost and a faster release time point than the proposed other models. Through this study, the software development cost of the Gamma family distribution without the existing research examples was newly analyzed. Therefore, we were able to present software developers with the necessary information to predict the economic software development cost and the optimal release time.
Research Interests:
Based on information collected from various research papers [1] about the blood pressure values and daily check-up details of patients suffering from Alzheimer’s disease (AD), a machine learning algorithm is applied to predict the fall of... more
Based on information collected from various research papers [1] about the blood pressure values and daily check-up details of patients suffering from Alzheimer’s disease (AD), a machine learning algorithm is applied to predict the fall of the patients. A wrist wrap is designed to detect the fluctuations in blood pressure, pulse rate and muscle activity of the patient and will help in predicting the fall of the patient with precise location [2]. The logistic regression model is trained using the dataset on two different platforms, i.e., Peltarion and Weka. Finally, the fluctuation in blood pressure and fall detection was verified using Arduino based tool and appropriate C# coding. The accuracy of the test was nearly 66%.
Research Interests:
The use of renewable energies, mainly wind and photovoltaic, are sources of generation that have spread worldwide by micro-grids. In places where the implementation of electric grids is inaccessible or economically not feasible, the... more
The use of renewable energies, mainly wind and photovoltaic, are sources of generation that have spread worldwide by micro-grids. In places where the implementation of electric grids is inaccessible or economically not feasible, the installation of wind micro-turbines and photovoltaic systems for electricity generation and water pumping systems has been implemented; however, renewable energies have not yet been used in some rural areas due to the lack of studies and initiatives of their own. In the present study, in situ measurements have been used to evaluate the wind potential in rural town and the application for micro-turbine. Through the Weibull Distribution, an analysis of the wind energy potential available in the area has been carried out incorporating commercial wind micro-turbines and energy cost analysis. The favorable wind levels and the nominal speed values of commercial turbines have allowed obtaining the capacity factor values and energy costs, which allowed determining the feasibility of the installation of wind micro-turbines to provide electric energy to the habitants of this town.
Research Interests:
The usage of filter is inevitable in most of the electronics devices to reject all unwanted high frequencies of electrical signal & pass the desired signal and for this purpose a precision filter is to be used in the input stage of the... more
The usage of filter is inevitable in most of the electronics devices to reject all unwanted high frequencies of electrical signal & pass the desired signal and for this purpose a precision filter is to be used in the input stage of the device. In an R-C Low Pass Filter capacitive reactance varies with the applied frequency of the input signal. When the applied frequency of the input signal increases the capacitive reactance is decreased and high frequency signal is bypassed to the ground through the capacitor. But in the case of FIR Low Pass Filter, the unwanted high frequency signal is suppressed with the help of filter coefficients. The desired output of an FIR Low Pass Filter can be obtained when the sample values of the input signal are instantaneously processed with the corresponding coefficient values. This case study shows that the initial value h(0) of the filter coefficients has a vital role to achieve the desired filter output. Though initial value h(0) is undefined and can be calculated by L. Hospitals’ Rule after multiplication with a window function.
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Korea's agriculture is facing a crisis due to the expansion of market opening, the decrease in agricultural population, and the aging population. In this situation, the need for a "6th industry" to revive the economy of agriculture is... more
Korea's agriculture is facing a crisis due to the expansion of market opening, the decrease in agricultural population, and the aging population. In this situation, the need for a "6th industry" to revive the economy of agriculture is emphasized by the convergence of agricultural-based primary industries, secondary industries and tertiary industries. As a solution to the agricultural problem, it is urgent to improve production and reduce labor through automation, and smart agriculture, which combines IoT technologies, is suggested as a solution. It is also necessary to provide customer demand information for each industry for the 6th industry through the convergence of big data technologies. With the application of the fourth industrial revolution technology to our agricultural sector, all fields from production to distribution and consumption are changing, and new ICT technologies centered on the Internet of Things are actively introduced in the precision agriculture sector centered on smart farms. Under these circumstances, it is no exaggeration to say that the success or failure of the 6th industry in agriculture depends on the professionalism of the workforce and the securing of the professional workforce. Therefore, this study intends to examine big data and smart farms for the successful 6th industry and provide implications for fostering professional human resources necessary for them.
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This analysis briefly identifies the state of Intermodal Freight Transport in Albania from a perspective in facilitating road traffic on the main axes in the central area of Albania. This study examines the possibilities of planning the... more
This analysis briefly identifies the state of Intermodal Freight Transport in Albania from a perspective in facilitating road traffic on the main axes in the central area of Albania. This study examines the possibilities of planning the location of the dry port in the interior of the territorial space of the central area of Albania. Finally, through this Study, we present the orientations and lessons to be learned from the best practices for the promotion of intermodal freight transport. The overall objective of our study is to contribute to the long-term sustainable development of logistics infrastructure and multimodal transport in Albania and to achieve the expected results as provided in the National Sectorial Transport Strategy 2016-2020, under Strategic Priority 1. The specific objective of this study is to reduce the congestion of traffic volumes on the central road axes, to reduce travel time, to reduce transport costs, to minimize environmental pollution from truck gases, and to increase safety through the development of Intermodal Transport shifting freight flows from road transport to rail transport.
Research Interests:
The gas mixture N2:SF6 has been used in gas insulated switchgears, gas insulated transmission lines and gas insulated cables for years in order to reduce the use of SF6 gas in electrical system. By taking into account the insulation... more
The gas mixture N2:SF6 has been used in gas insulated switchgears, gas insulated transmission lines and gas insulated cables for years in order to reduce the use of SF6 gas in electrical system. By taking into account the insulation performance and environmental effect, it is advised that the use of N2:SF6 gas mixture in practical to lower the SF6 gas content as far as possible. The present study is undertaken using different N2:SF6 gas mixture ratio to determine the flashover characteristics under AC voltages. In this paper the effect of floating particles, use of different insulating spacers namely PMMA, PP and NYLON and their combination forms hybrid spacers has been studied in non-uniform electric field (needle – plane) electrode configuration. The surface flashover performances of individual and hybrid spacers have been compared in N2:SF6 gas mixture. The experimental results shows that conventional spacer PMMA show better performance than the other spacers (PP and NYLON) at the gas pressure of 0.18MPa. As the gas pressure increases further the flashover voltage values slightly decreases. The hybrid spacer PMMA – PP are more effective at lower pressure than other spacer combinations. With floating particle, PP shows better flashover at lower pressure and the performance of PMMA – NYLON is much better at lower pressure.
Research Interests:
The simple payment service is becoming generalized as a payment and settlement means, covering consumers' online shopping, banking/financing, payment, remittance, and transfer, due to IT development and the FinTech industry's expansion.... more
The simple payment service is becoming generalized as a payment and settlement means, covering consumers' online shopping, banking/financing, payment, remittance, and transfer, due to IT development and the FinTech industry's expansion. Due to changes in the payment means environment, donation or diverse donation activities started to become digitalized by adopting simple payment platforms. This study presents the mobile simple payment system construction strategy formed by the Korean Red Cross (KRC) and its execution method and results. This study aims to specifically present how online donation invigoration needs to be led and how the simple payment system can be used by non-governmental organizations (NGOs) and the relevant institutions that need to encourage contributions and donation activities according to change of the temporal environment. As a result of the case study, the mobile notice authentication and simple payment use rates of the elderly were very low. If an online system had been used for donation like other digital services, this study found that an increase in education for e-literacy in smartphones and services concerning the elderly is essential. Also, it was found that there is a need to consider IT companies' diverse technology types and open collaboration types on the access modes.
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Increasing lifespans for aging people are reshaping the global socioeconomic challenges and creating new demands, a new type of economy that totally absorb the shift in the demographic changes. In this paper, the reality of the aging... more
Increasing lifespans for aging people are reshaping the global socioeconomic challenges and creating new demands, a new type of economy that totally absorb the shift in the demographic changes. In this paper, the reality of the aging economy is foresighted based on the literature reviewed. Both the challenges and the opportunities of the aging economy are explored. The analysis realises the homogeneity required for an aging economy, given the experience of the inspiration labs in optimising the use of such a concept in solving socioeconomic issues. The outcome shows that foresighting the economics of aging and setting realistic transformation plan would help to enhance communities and countries readiness towards this coming global aging challenge without threating the quality of life of humans who happens to live beyond 65 years old.
Research Interests:
In India, Reliance JIO created a promotional buzz by making broadband internet & supplementary digital services no longer a luxury item. It actually converted these two things into a basic necessity that can be consumed in abundance,... more
In India, Reliance JIO created a promotional buzz by making broadband internet & supplementary digital services no longer a luxury item. It actually converted these two things into a basic necessity that can be consumed in abundance, thereby not only impacting the telecommunication sector but also the common people, small and large businesses, & ultimately the Indian economy as a whole. JIO entered the telecommunication business like a boss, but the whistles and applause that greeted it obscured the fact that by one measure, the company’s debt climbed to at least a 15 year high. Moreover, it sparked a vicious price war in the world’s second largest mobile phone market. Nevertheless, as Mukesh Ambani, Chairman of Reliance Industries Limited had described JIO as a jewel among Reliance assets, it actually helped the entire group immensely during the Coronavirus pandemic. This paper mainly includes the preliminary impact of JIO on the telecommunication industry, its impact on competitors, how it became a helpful hand in digitalization, its impact on the Indian economy as a whole, and finally the various marketing strategies used by JIO to draw the common people towards it in the beginning of its journey.
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The purpose of this research were to 1) study the level of ethical leadership of school administrators, 2) study the level of teachers’ happiness, 3) study the relationship between ethical leadership of school administrators and teachers’... more
The purpose of this research were to 1) study the level of ethical leadership of school administrators, 2) study the level of teachers’ happiness, 3) study the relationship between ethical leadership of school administrators and teachers’ happiness, and 4) create forecasting equation on teachers’ happiness in schools under Udon Thani Primary Educational Service Area Office. The sample was 363 teachers, using stratified random sampling. The equipment was a 5-level rating scale questionnaire on 5 factors of ethical leadership of school administrators that the discrimination value between .216 - .719 with the reliabilities of .944 and teachers’ happiness that the discrimination value between .235 - . 802 with the reliabilities of .886. The data was analyzed for frequency, percentage, mean, standard deviation, correlation coefficient and stepwise multiple regression. The results of the research were as follows: 1. The ethical leadership of school administrators in schools under Udon Thani Primary Educational Service Area Office was at a high level for overall. 2. The level of teachers’ happiness in schools under Udon Thani Primary Educational Service Area Office was at a high level for overall. 3. The relationship between ethical leadership of school administrators positively correlated teachers’ happiness in schools under Udon Thani Primary Educational Service Area Office was statistical significance at .01. 4. Ethical leadership factors: The use of intelligence in problem solving (USI), generosity (GEN), honesty (HON) and enthusiasm (ENT) were predictive variables that affected teachers’ happiness in schools under Udon Thani Primary Educational Service Area Office which could predict for 53. 70 percent as shown in predictive equation below Forecast equation in general score: Ŷ = 2.031 + .208 (ZUSI) + .143 (ZGEN) + .114 (ZHON) + .096 (ZENT) Equation in the standard score: 𝑍̂ = .304 (ZUSI) + .238 (ZGEN) + .156 (ZHON) + .133 (ZENT).
Research Interests:
People become stronger as a result of digitalization, which allows them to save both time and money. The digital world blurs the lines between countries and brings individuals closer together. There is no need to go to a store to purchase... more
People become stronger as a result of digitalization, which allows them to save both time and money. The digital world blurs the lines between countries and brings individuals closer together. There is no need to go to a store to purchase a product or service; all it takes is a single click. Organizations are developing strategies to reach out to potential customers using digital platforms, which make it simple for them to reach out to the largest number of people. Buyers may now simply compare products on the basis of quality and pricing. Customers' purchasing decisions are also influenced by product availability. This study show that how digitalization influence customer buying behaviour, this study focus on some factors (reliability of digital information, easy access of websites, online digital communication source) which play important role for influencing the customers for buying product through digital platform. This study was conducted in Haridwar (Jwalapur, Kankhal, Sidkul) and sample size was 50. A questionnaire was prepared and based on some factors which influence customer buying behaviour.
Research Interests:
At the beginning of the Covid-19 pandemic, people found it to be challenging to deal with what was called the new normal. However, soon they got used to it and recognised some of its advantages. Many started to see some hidden... more
At the beginning of the Covid-19 pandemic, people found it to be challenging to deal with what was called the new normal. However, soon they got used to it and recognised some of its advantages. Many started to see some hidden opportunities in this pandemic, especially was a good experience to re-evaluate lifestyle and take the best of it. As many governments and institutes are starting to adapt to the new normal, the fear of getting back to many pre-pandemic life norms and routines is very high. This paper investigates the type of fears, as a result of going back to normality, by using the method of integrative study. The type of fear is specified in order to define mechanisms for its alleviation. The recommendation here is to create balanced solutions or environments that compensate for the need for pre- and post-pandemic routines or resilient transformation plans. However, this recommendation needs to be piloted in different communities and in a different environment to overcome the limitations of its practicality, taking into consideration the variations of fear according to the demographics and the functionality.
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In recent times in India, Women Entrepreneurship has becoming an emerging trending pace in the development of economy of self, their family and nation. The state of Tamil Nadu is one of the best industrially developing area where, Women... more
In recent times in India, Women Entrepreneurship has becoming an emerging trending pace in the development of economy of self, their family and nation. The state of Tamil Nadu is one of the best industrially developing area where, Women Entrepreneurs excel in Small scale industry. In the last two decades, Women are facing many opportunities in Entrepreneurship which not only increases their self-sufficiency, self-esteem, education and growth but also helps their families and employees. They play a significant role in creation of employment opportunities exclusively for Women Job seekers. Though Women Entrepreneurs has positive impact on Entrepreneurship, they also face a lot of hurdles and problems especially in fund generation. Women Entrepreneurs must have good source of knowledge with regard to finance. For this, Government has introduced many financial schemes and training programmes among Women in order to promote Entrepreneurship which encourages them to earn self-income. Now a days, Many Government as well as Non-Government agencies plays a vital role in Women Entrepreneurship in the form of providing training, Loan disbursement, economic development and merchandising. The purpose of this article is to study the level of awareness of Government schemes among Women Entrepreneurs in Chennai, Tamil Nadu. This paper discusses about various Government schemes available to Women Entrepreneurs and lists out successful Women Entrepreneurs in Chennai. The data has been collected from two hundred (respondents) Women Entrepreneurs in Chennai. The hypothesis will be tested at 0.05% level of significance.
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The convergence of advanced technologies such as AI, IoT, and BigData with medical technology also has changed medical services significantly. Particularly digital healthcare services have developed in the untact settings by the COVID-19... more
The convergence of advanced technologies such as AI, IoT, and BigData with medical technology also has changed medical services significantly. Particularly digital healthcare services have developed in the untact settings by the COVID-19 pandemic. This study aims to examine factors that affect the usefulness of such digital health care services perceived by users and their use satisfaction. The study defines the ‘personal influence factor, ‘information quality factor,’ and ‘social impact factor’ that affect digital healthcare service use and empirically analyzes the effects of such factors on perceived usefulness and use satisfaction. A survey was conducted among 364 individuals who used digital healthcare services in Korea, and then statistical analysis results were derived. Hence analysis results show that personal influence factors and social impact factors positively affected perceived usefulness while information quality factors did not. In addition, it turned out that personal influence factors and information quality factors had positive effects on use satisfaction while social impact factors did not affect use satisfaction. The above-stated results suggest that when it comes to digital healthcare service, personal influence factors concerning the experience of product or service use affected perceived usefulness and use satisfaction, social impact factors affected perceived usefulness, and information quality factors affected use satisfaction to a significant degree.
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The paper tests the influence of the application of the ‘meaning of the living moment’ in a complex, and unstable world. Studies reviewed show that without meaning, individuals and communities are more likely to fail to capture the... more
The paper tests the influence of the application of the ‘meaning of the living moment’ in a complex, and unstable world. Studies reviewed show that without meaning, individuals and communities are more likely to fail to capture the profound knowledge that any complexity could bring. The implication of this study is that it addresses a missing element that is not well addressed when dealing with or planning to deal with the rising mental health issues, that is realising the essence and the meaning of the moment during challenging times. The conclusion shed a new path that could lead to the enhancement, readiness and availability of a more agile generation that turns the suffering into sources of hardiness and tolerance through the emphasis on the meaning or purpose of living. This could even turn what is seen as sources of suffering into niches for new opportunities.
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Multidisciplinary thinking approaches, or holistic thinking, provides a unique opportunity to gain knowledge and solve chronic issues that come from a range of different subjects through the deeper understanding of patterns that are... more
Multidisciplinary thinking approaches, or holistic thinking, provides a unique opportunity to gain knowledge and solve chronic issues that come from a range of different subjects through the deeper understanding of patterns that are common between different complex issues. This type of thinking is important when dealing with complex problems like poverty elimination, or socioeconomic stability in a country that just came out of 40 years of war, like Afghanistan. In this research, we investigate how multidisciplinary thinking approaches would address the new Afghanistan basic needs and enhance its capacity to address the needs of the poor and the vulnerable.
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The current research aims to establish the effects of using machine learning algorithms to optimize predictions of housing prices. For the purpose of the study, dataset from the King County, Washington, United States of America is used.... more
The current research aims to establish the effects of using machine learning algorithms to optimize predictions of housing prices. For the purpose of the study, dataset from the King County, Washington, United States of America is used. The conclusions the research expects to draw are to find a optimized algorithm to measure the success of housing price prediction during an increasingly hyper turbulent environment that are increasingly becoming more common. The approach is by applying a comparison mechanism between features selection and feature extraction in the predictions.
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Rice is the chief food for about two billion people living in Asia. It has been stated to contain substantial quantity of inorganic arsenic which is noxious to pancreatic beta cells and disturb glucose homeostasis. Millions of consumers... more
Rice is the chief food for about two billion people living in Asia. It has been stated to contain substantial quantity of inorganic arsenic which is noxious to pancreatic beta cells and disturb glucose homeostasis. Millions of consumers around the world may have high Arsenic (As) ingestion from imported rice and rice-based foods, due to the rapid expansion of the global food trade. Arsenic revelation has been linked with enhanced blood glucose and insulin levels, or reduced sensitization of insulin cells to glucose uptake. Arsenic is present in diverse oxidative statuses in the atmosphere and enters in the food chain through soil and water. In the agronomic field, irrigation with arsenic contaminated water, having a greater level of arsenic contamination on the topsoil, affect the quality of crop production. The chief crop like rice (Oryza sativa L.) entails huge amount of water throughout its lifecycle. Rice plants possibly accumulate arsenic, predominantly inorganic arsenic (iAs) from the field, in diverse body parts including grains. Inorganic As varieties are carcinogenic to humans and even at low levels in the diet sham a significant risk to individuals. Extreme accepted daily intake of arsenic accumulated rice (2.1 µg/day kg body weight) has been fixed by WHO, which may be outdone responsible on its content in rice and amount consumed. Hence, enhanced dominance of diabetes in South Asia may be allied to the ingesting of arsenic contaminated rice. In this work, we have focused on the likely relation between rice consumption, arsenic accumulation, and risk assessment in South Asia.
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This paper investigates the Internet use by Tamale College of Education students using quantitative approach. A stratified random sampling technique was applied to choose 109 students. A questionnaire was used to gather data for the... more
This paper investigates the Internet use by Tamale College of Education students using quantitative approach. A stratified random sampling technique was applied to choose 109 students. A questionnaire was used to gather data for the study. In all 109 copies of the questionnaire were distributed and 103 (94.5%) of them were received for analysis. The outcome of the study shows that students are acquainted with the Internet services provided by the College. Also, the students possess basic computer and Internet skills but needed advance skills in searching. Majority of the students’ access the Internet through cyber café and had not received any formal training in ICT applications. The students access the Internet for dif erent reasons such as communication, entertainment, learning and research. Majority of the students use Google in searching. Challenges encountered by the students were inadequate computers in the library, low Internet bandwidth and very low information retrieval skills. The study recommends extension of Wi-Fi coverage to dormitories with 24/7 access, training on Internet use, provision of more computers and provision of high bandwidth.
Research Interests: Internet Access, Internet Searching, Pastoral care of tertiary students, THE INFLUENCE OF ENTREPRENEURSHIP EDUCATION ON ENTREPRENEURIAL BEHAVIOR OF COLLEGE STUDENTS IN KERMANSHAH’S PAIAM-NOOR UNIVERSITY: STRUCTURAL EQUATION MODELING APPROACH, International Journal of Library and Information Science (IJLIS), and Tamales
This paper is an attempt to study the security system with reference to Radio identification (RFID) technology in university libraries in Hyderabad. It reveals how many libraries are equipped with RFID technology and perception of... more
This paper is an attempt to study the security system with reference to Radio identification (RFID) technology in university libraries in Hyderabad. It reveals how many libraries are equipped with RFID technology and perception of Librarians on RFID technology. A survey was conducted in all 13 university libraries in Hyderabad. To achieve the objectives of the study, a structured closed ended questionnaire was designed and collected the data from all 13 university libraries. Based on the data analysis and interpretation, it is found that the majority of the university libraries have not equipped with Radio Frequency Identification (RFID) technology. They consider the RFID as efficient and it is working effectively. The RFID technology has advantages as it has large memory space, followed by Rewritable and long service life. It is also revealed that majority 9 out of 13 librarians consider that this RFID security system is very important to control unethical practice and it increases the efficiency of library transaction.
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Academic library play a pivotal role in providing valuable services to the users. This study was designed to investigate to find out the knowledge and awareness of information literacy among the information of seeking behaviour 120 B.Ed... more
Academic library play a pivotal role in providing valuable services to the users. This study was designed to investigate to find out the knowledge and awareness of information literacy among the information of seeking behaviour 120 B.Ed student from Shri Kumareshwar College of Education in Hangal. In this study will identify the current information seeking behaviours of student teachers are described & discussed from information seeking from information channels level of satisfaction & the students behaviors i.e., attitude the students execute while seeking information the results revealed that majority of teacher educators believed that there information seeking help them in attaining continuing professional development
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With the advent of paper the writing was start on paper and after the long time the printing press came to the human society for reading. Therefore, the books are the integral part of human learning since the invention of paper. Reading... more
With the advent of paper the writing was start on paper and after the long time the printing press came to the human society for reading. Therefore, the books are the integral part of human learning since the invention of paper. Reading of books, magazines, journals and newspapers have a great role to enhance the knowledge of a person in any field like arts, medical, sciences, agriculture, general awareness, sports or business etc. to inculcate the reading habits among the children parents are emphasizing on reading the books. By the development of the technology e- resources are available in the market in the form of e-books, e-magazines, e-journals and epapers of newspapers. These e-resources could also be accessed through 21st century high tech libraries which are providing electronic services in this digital era. This paper describes the various e-resources, how to use e-resources and the problems facing while accessing the e-resources.
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The purpose of this article is to explain that Normalization Theory is the foundation of Blockchain technology. Blockchain is a partial barter system. An entire barter system facilitates the trade directly between participants without... more
The purpose of this article is to explain that Normalization Theory is the foundation of Blockchain technology. Blockchain is a partial barter system. An entire barter system facilitates the trade directly between participants without using a medium of exchange, such as money. However, there is a need for an administrative entity with the Blockchain system to guarantee a seller will get credit and the buyer will receive promised delivery such as goods or services. Thus, the organizational entity's role is minimal and promotes trust among transaction parties by guaranteeing the sellers' and buyers' promises. While some researchers focused on describing Blockchain mechanics, others concentrated on the benefits of Blockchain technology. One common characteristic of most writing on Blockchain is that Normalization Theory discussions are neglected or marginalized or completely absent. Such an omission is mysterious; a cursory glance at the literature reveals the need to understand Normalization Theory's role as the foundation of Blockchain is lacking. Without Normalization Theory, there are no Blockchain applications. The central assertion of Blockchain is that contracts could be executed faster than processed by a Bank, which is the middle institution between the two parties. The direct contract between the sellers and the buyers would eventually strengthen the relationship. The security is enhanced since any change in a contract would trigger creating a new agreement. The premise of Blockchain is that all parties in a contract fulfill their obligations. Blockchains are decentralized transactions, and a trade could be initiated by a member of the group, which requires certification by most of the members. Along with diminishing the cost of a transaction, Blockchain reduces the role of Banks. It accelerates contract creation, execution, completion, or cancellation through Database tables' design using Normalization Theory.
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Definition − Cartoons have been in the industry since the middle ages and are now emerging into an upgraded version of themselves, widely referred to as caricatures. Caricatures are mainly used to interpolate humor and satire in... more
Definition − Cartoons have been in the industry since the middle ages and are now emerging into an upgraded version of themselves, widely referred to as caricatures. Caricatures are mainly used to interpolate humor and satire in advertisements or comics. A gradual shift from cartoons to caricatures took place mainly due to the liveliness and realism of the representations generated. In the initial years of transformation into this newly developed area, artists used to manually draw the caricatures. However, with the advent of digitalization, in a short time span, various software was launched in the market to automate the process. They did save a lot of time, but the quality was hampered. Thus, the main objective of this paper is to present a comparative study of different methodologies to determine and implement the best model for automatic caricature generation that will not only save time but also consider various aspects of facial representation.
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The paper is mainly based on detecting the earthquake and to save the life of differently abled person during an earthquake. At the time of Earthquake people use to go to safer place but wheel chair users or physically disabled people... more
The paper is mainly based on detecting the earthquake and to save the life of differently abled person during an earthquake. At the time of Earthquake people use to go to safer place but wheel chair users or physically disabled people have to face lots of difficulties if they are alone in the house. They have to face lots of hardships if they are unable to walk and can’t use their hands even. So, this paper is an attempt to mitigate those hardships of people who are on wheel chair. In this paper a simple earthquake detector and rescuer system using Arduino UNO board, Arduino Mega and a highly sensitive accelerometer is presented that can sense a decrepit vibration as well. Then it generates a signal to give an indication to the physically challenged person to evacuate as soon as he can. This paper states that evacuation at the time of earthquake is possible for differently a bled person by using his brain power/meditation power. This is possible by using a Brain wave technology device called mind wave mobile. He can move his wheel chair by his brain. There is also a use of GSM messaging mechanisms and GPS navigating mechanism to send a message alert in the cell phone of any nearby guardian who can help that physically disabled person (if he needs it) when the earthquake is detected. If the physically disabled person cannot use his mind wave due to some reason at the time of earthquake, then a guardian nearby again receives a SMS along with location so that he can rescue that physically disabled person.
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This research plays a significant role in developing an improved interstice and traf ic management system to deal with mixed traffic conditions in Bengaluru. The research was undertaken on a real-time basis in order to acquire primary... more
This research plays a significant role in developing an improved interstice and traf ic management system to deal with mixed traffic conditions in Bengaluru. The research was undertaken on a real-time basis in order to acquire primary quantitative and qualitative data as well as to conduct a content analysis of key components. This enabled the researcher to evaluate various aspects of the issue such as lack of appropriate infrastructure, conditions leading to a rise in pedestrian flow and the present actions taken by responsible authorities in this region. In order to approach the research in an unbiased and objective manner, the philosophy of positivism was incorporated.
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Drought forecasting is considering an important tool to help the decision makers. Standardized Precipitation Index (SPI) is a tool, which was primarily developed to identify meteorological drought and wet events by using only series of... more
Drought forecasting is considering an important tool to help the decision makers. Standardized Precipitation Index (SPI) is a tool, which was primarily developed to identify meteorological drought and wet events by using only series of monthly rainfall. The autoregressive integrated moving average (ARIMA) models were developed to fit and forecasting both the SPI series and precipitation data. As the land station data at the selected stations in Ethiopia is not available/ cost expensive after the year 2010, therefore the satellite image data, which is available and less costly, is used after correction using the available land data. The land station data for the stations which have more than 30 years land data recorded are used to correct the deviation in the satellite image data. After comparing the land station data and the satellite image data three stations are selected. The selected stations have overlap between both satellite and land stations data for more than 16 years. SPSS program was used to analyses and forecasting the data. As a result, it is concluded that forecasting using SPSS program is recommending for both drought and precipitation using ARIMA model.
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Rivers are the main source of water and life to humans so all of their activities are located on its banks. River navigation is one of the most important activities in current ages. Navigation bottlenecks are appeared and conventional... more
Rivers are the main source of water and life to humans so all of their activities are located on its banks. River navigation is one of the most important activities in current ages. Navigation bottlenecks are appeared and conventional solution is occurred to try to mitigate this problem. Dredging is currently used as a temporary work but some of bottlenecks are repeated again at most regions and needed to periodic maintenance. This research shows that each zone of bottleneck has special properties. The relationship between morphological changes (such as bends, island form, changes of bed level and river width) and appearance of bottlenecks in Nile Rivers. The human interventions in the study reach are determined and studied its impacts on navigational path. Data are collected and delft 3d model is used to simulate study reach from kilometer 462 to 498 U.S. Roda gauge. Nine zones of navigational bottlenecks were appeared in 1982 in minimum discharge case but eight zones were appeared in 2010 in normal case and after prediction of model for seven year. Four zones are appeared after using dredging process and prediction by delft 3d model, where three of them are determined in last report of observed navigation bottlenecks at 2017-2018 therefore this model can be applied to large area in Nile river and predication of navigation problems in the future. In average discharge case, minimum value of longitudinal velocity is revealed at location of bottlenecks so it caused of sedimentation in these zones.
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Concrete is the most widely used construction material in the world. Shortage of water is perhaps the most critical environmental problem in several countries. Fresh water accounts for only (2.5%) of the Earth’s water. The concrete... more
Concrete is the most widely used construction material in the world. Shortage of water is perhaps the most critical environmental problem in several countries. Fresh water accounts for only (2.5%) of the Earth’s water. The concrete industry alone uses over one trillion gallons of water each year worldwide. In addition, the use of water for industrial purposes increases. Therefore, it is essential to conduct research of substitution of potable water by reclaimed water partially or totally to produce concrete. Works included intensive laboratory experiments, preparing concrete cubes with sewage treatment plant water from dif erent stages of the treatment process and dif erent percentage in the formulation of concrete mixtures. The plan is to test reclaimed water samples in dif erent blending with potable water 20%, 50%, and 100% sewage treatment water. Compressive strength, for concrete cubes. Compressive strength for cylinders and flexural strength for beams were casted for 3, 7, 21, 28, 56 and 92 days. Results showed that the treated water tested in this study qualifies to be used in mixing concrete. Hence results suggested the secondary treated waste, and the tertiary treated waste water are appropriate for using in construction industry. For making concrete, the suggested wastewater treatment unit processes secondary treatment and disinfection, are (Biochemical Oxygen Demand) (BOD5 ≤ 30mg/l), (Total Suspended Solids) (TSS≤30mg/l), fecal coliforms (≤200 CFU/100ml), and Cl2 residual (1mg/l Cl2 residual (minimum). Briefly, the results showed that, Tertiary treated waste water (TTWW) produced from waste water treatment plants in Egypt, is found to be suitable for mixing concrete to use in construction material with no adverse effects.
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In Concrete /Cement Mortar Mass a significant study was made on the applied stress and on this applied stress the design criteria of the structures have been finalised and a limited study on the internal built in stress was made and... more
In Concrete /Cement Mortar Mass a significant study was made on the applied stress and on this applied stress the design criteria of the structures have been finalised and a limited study on the internal built in stress was made and minimal studies on its effects. Since, in any material the internal stress, i.e. residual stress plays a vital role and it defines the internal anatomy and its behaviour. The present research work concentrates on the studies done in assessing the residual stress i.e. macro and micro stress and its impact on the concrete /cement mortar mass prepared with untreated and treated recycle demolished coarse and fine aggregates and compared with that of concrete/mortar mass prepared with that of conventional aggregates. The XRD is used to evaluate the macro and micro stress and on the obtained results it was found that type of stress developed plays a vital role in defining the internal integrity of the structure and the amount of the stress play a significant role in the performance of the concrete/mortar mass and the residual stress developed decides the durability of the structure in terms of its fatigue life, resistance to corrosion and the dimensional stability overall.
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This study aims to model construction projects cost and time overruns, with the specific objectives of identifying the causes and effects of cost and schedule overruns in construction projects. This is because the concept of construction... more
This study aims to model construction projects cost and time overruns, with the specific objectives of identifying the causes and effects of cost and schedule overruns in construction projects. This is because the concept of construction projects cost and schedule overruns has attracted much attention in recent years and that researchers and research bodies, be it corporate or government that try to formulate remedies to projects cost and schedule overruns should begin with an understanding of the causes of these overruns and their effects to the construction industry as a whole. Since, time and cost performance are the fundamental criteria for success of any project. The project management technique for tracking the most critical factors that af ect the project’s overruns of planned schedule and planned budget using tools and developed software are helpful in comparing the project with stipulated time and cost. This research investigates ranking factors from two questionnaires to compute the severity index among various construction projects and ranked each factor according to the percentages of each factor occurrence. Two models constructed using Linear regression (LR) and machine learning (Support Vector Machine) is one of the artificial intelligence systems to fit the given data for all construction projects. First model is developed for time overrun prediction with high accuracy and second model is developed for cost overrun for various construction projects. Check the performance and accuracy of the predicting model by some certain projects of time and cost projects data and check the variation of the results between the actual results and predicted results.
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Purpose - Building Information Modeling (BIM) technologies and Virtual Design and Construction (VDC) processes are becoming a driving force for advancing the design, construction and operation of buildings that may have the potential to... more
Purpose - Building Information Modeling (BIM) technologies and Virtual Design and Construction (VDC) processes are becoming a driving force for advancing the design, construction and operation of buildings that may have the potential to reduce claims, disputes and litigation throughout the construction process. However, evidence shows that BIM isn’t universally successful. To this end, this research aims to identify the most common BIM contractual risks (BCR). Design/Methodology/approach - This research intends to go further into about 22 BIM Contractual Risks that have been identified from the literature review. A questionnaire survey was made to identify the risks occurrence rate, involved parties and solutions for highest faced risks based on number of participants and their years of experience. Result analysis was based on experience years for each participant’s vs each risk’s parameters. Findings - The presented process mitigates the construction project participant’s ability to complete the construction project under BIM collaborative environment and contracts isolation nature through the following: (1) identification and examination of about 22 BIM contractual risks, level of occurrence and solutions; (2) provide a BIM contractual framework that allows for defining each party’s responsibility in BIM workflow. Research Limitations – Due to diversity in construction project, BIM based projects require an additional drafting method to the contract and provide an understanding of each party’s responsibility by analyzing legal implication of BIM adoption. In addition, local legislation can provide the support needed for BIM implementations. Practical implications – Findings’ implication suggests providing a legal understanding of BIM work flow through the investigation of BIM risks among construction project’s parties and providing a contractual framework either in the BIM execution plan BEP or in the employer information request EIR. The presented BIM framework mitigates the likelihood of these risks rising into disputes. Originality/value – While there have been publications that investigate BIM contractual risks, they mainly provide guidelines of the risks and solutions. The following publication propose a thorough examination of BIM contractual risks, introduce a BIM framework based on industry’s experts experience and the specification required in the contract, BIM execution plan regulation and legal background needed for BIM adaptation in a construction project.
Research Interests: Virtual Design and Construction, Building Information Modelling (BIM), BIM Contract, BIM Execution Plan, International Journal of Civil Engineering and Technology (IJCIET), and 5 moreIaeme Ijciet, BIM contractual risk (BCR), Level of occurrence (LOC), Employers Information Requirements (EIR), and BIM Contractual Framework
This paper is focused on studying the factors affecting the productivity of excavation works in Jordan. In order to investigate this target, a questionnaire was designed considering the most important factors that were proposed in the... more
This paper is focused on studying the factors affecting the productivity of excavation works in Jordan. In order to investigate this target, a questionnaire was designed considering the most important factors that were proposed in the literature, then distributed to 55 of experts and contractors. Accordingly, the collected data was analyzed using SPSS software in order to evaluate those factors and to arrange them based on their importance sequence. In general, several major factors affect the productivity of excavation works in construction projects. In this research, five of those factors were selected and studied, evaluated, and concluded to be the most major factors that could influence the productivity of excavation works for construction projects in Jordan, and could significantly affect the cost and time of carrying out the project. Accordingly, the results of this research showed that the increase in the productivity for excavation works is related to taking into account the factors recommended according to their priority, in which the first of these was the "the types and readiness of the excavation machines", followed by (in descending order) "the geological nature of the site", "the project site investigation", "the technical expertise specialized in carrying out excavation works", and "the financial liquidity and the payment of dues".
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The Objective of this study explains the problems in general and solutions for the same in road projects running through the hilly terrain. This project location is in Western Ghats near to Kerala receives average annual rain fall of... more
The Objective of this study explains the problems in general and solutions for the same in road projects running through the hilly terrain. This project location is in Western Ghats near to Kerala receives average annual rain fall of 6500mm in a period of 5 months in a year. Two VOPs are planned in this project by putting the NH traffic below ground level through cutting by allowing the crossroad traffic on ground level. This system is not at all advisable in this rain prone area.
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In this work, the nano magnesium oxide was incorporated in the cement to study about its photocatalytic property. GGBS was partially replaced in cement by 30% to impart durability. The photocatalytic property was studied for organic... more
In this work, the nano magnesium oxide was incorporated in the cement to study about its photocatalytic property. GGBS was partially replaced in cement by 30% to impart durability. The photocatalytic property was studied for organic pollutant as well as gaseous pollutant. The organic pollutant used to study about self-cleaning property is methyl violet dye solution and the gaseous pollutant used was vehicular emission to study about the degradation of NOX gases. Then the strength and durability aspects of the cement composite was studied from the mortar cubes and tiles specimens. The results show good with the photocatalytic property and durability of incorporated cement composite.
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The study aims at identifying the factors affecting time overrun in public construction projects Saudi Arabia from consultants’ viewpoint. To do so, 70 consultants working in public construction completed a structured questionnaire survey... more
The study aims at identifying the factors affecting time overrun in public construction projects Saudi Arabia from consultants’ viewpoint. To do so, 70 consultants working in public construction completed a structured questionnaire survey and the factors were ranked according to their levels of severity, frequency, and importance. 34 factors were identified through interview with some local construction experts and deep literature review. The analysis of the identified 34 factors indicates that the top five important factors affecting time overrun in public construction projects are: improper planning, poor labor productivity, additional works, rework, and lack of contractor experience. The results also indicate that the top five severe factors affecting time overrun in public construction projects in Saudi Arabia are: bid award for lowest price, poor labor productivity, improper planning, additional work, and lack of contractor experience. While the top five frequent factors are: rework, improper planning, changes in material types and specifications during construction, poor contract management, and poor resource management.
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Open innovation is a progressive process with rising number of literature studies for large companies in Europe as well as in the Western world. Despite of its broad definition, the open innovation theory still has a range of unresolved... more
Open innovation is a progressive process with rising number of literature studies for large companies in Europe as well as in the Western world. Despite of its broad definition, the open innovation theory still has a range of unresolved problems. This is a conceptual paper undertakes to study the adoption of open innovation model in Malaysian start-ups. This paper is intended to review current publications and establish a conceptual structure for a relationship between open innovation procedures, start-up characteristics and firm results. The research questions and objectives of the study along with hypotheses and concludes with the need of research and the contribution that will be made from this study to the world of academia
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Choosing the best stock is generally essential to bring in cash by worthy hazard level. We have talked about finding productive SS proportions by utilizing python code without referencing to beta or some other proportions for maximizing... more
Choosing the best stock is generally essential to bring in cash by worthy hazard level. We have talked about finding productive SS proportions by utilizing python code without referencing to beta or some other proportions for maximizing returns.
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The rise in the number of Pakistanis working abroad has created an important source of monetary flows for the country. In Pakistan, the remittances are one of the major sources of foreign exchange earnings. One of the determinants of... more
The rise in the number of Pakistanis working abroad has created an important source of monetary flows for the country. In Pakistan, the remittances are one of the major sources of foreign exchange earnings. One of the determinants of remittances is the geographical distance between the home country and the country where Pakistanis are working. In this paper, we inquire whether the geographical distance between two countries affects two-sided remittances by using panel data of 23 major destinations from 2001 to 2017. We find that there is a significant impact of geographical distance on remittances that Pakistan receives. The positive and significant coefficient between remittance and geographical distance confirms that Pakistani migrants who are working in far locations remit more JEL Classification: F22; F24; C23; O53
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The purpose of this study is to determine the consumer product perception towards preferred brand of processed cheese. Specifically, to investigate the perception towards the price, product satisfaction, visual impact, and brand of... more
The purpose of this study is to determine the consumer product perception towards preferred brand of processed cheese. Specifically, to investigate the perception towards the price, product satisfaction, visual impact, and brand of processed cheese. Components like brand, shape, packaging material, weight, shop where consumers purchase processed cheese were also considered for finding the association between the product preferences. Data were collected through questionnaire from 400 individuals. The results of the study found a significant association between consumer product preference and gender, age, income, educational qualification, family type, brand, shape, packaging material, weight and shop where consumer purchase processed cheese.
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Mamata'r Chithi is one of the very few poems in which the Eliot's belief-that poetry is understood before it is communicated-is thoroughly illustrated. This poem can be read as a grim and painful commentary on withered love of an Indian... more
Mamata'r Chithi is one of the very few poems in which the Eliot's belief-that poetry is understood before it is communicated-is thoroughly illustrated. This poem can be read as a grim and painful commentary on withered love of an Indian widow. Here the poet candidly captures the 'longing for loneliness' of a beautiful widow tormented both by her separation from her husband as well as by an unfriendly world. In our Indian societies, a widow's life is not a world of love and affection. After her husband's dead it is now a merely a routine and diseased existence infected with mundane material obligations. The narrator letter-writer tries to escape the hard realities of life while being in a dream world by nostalgically recalling her Conjugal life.
Research Interests:
Fluid flow dynamics inside an engine combustion cylinder permits a better cylinder combustion, engine performance and efficiency. The In-Cylinder model of the software ANSYS Fluent is used in this paper to simulate 3D air motion with fuel... more
Fluid flow dynamics inside an engine combustion cylinder permits a better cylinder combustion, engine performance and efficiency. The In-Cylinder model of the software ANSYS Fluent is used in this paper to simulate 3D air motion with fuel combustion. The flow phantasm can create a 3D geometry andalso the numerical analysis by using CFD results. By doing like this, we have a chance to compare different designs and this comparisonhelps to determine the best suited optimal designs. The engine used for this combustion simulation is a simple straight valve engine with two intakeand two exhaustvalves.The piston moments can be visualized through the animation andvelocity magnitude curves are plotted for crank angle starting from 570 to 833. The engine is simulated for only working stroke/combustion stroke. The text file is written in working directory containing swirl, x-tumble, y-tumble and moment of inertia as a function of CA. This tool automatically creates animations for mesh on cut plane, temperature on ice cut plane and velocity magnitude on ice cut plane. These created counters and graphs can show the performance of the engine used.