The rapid growth of data and the emergence of diverse database solutions have made database selec... more The rapid growth of data and the emergence of diverse database solutions have made database selection a critical aspect of software development. This article presents a structured methodology for choosing the right database based on an organization's requirements and use cases. The proposed approach consists of five key steps: defining project requirements, identifying core database features, evaluating available database options, prioritizing and eliminating candidates, and conducting proof of concepts or benchmarks. Organizations can navigate the complex landscape of database options by considering data volume, performance expectations, scalability, and deployment models. The article highlights the importance of aligning the selected database with the application's specific needs to ensure optimal performance and cost-effectiveness.
This comprehensive article examines the transformative impact of robotic systems on Time, Materia... more This comprehensive article examines the transformative impact of robotic systems on Time, Material, and Expense (TME) reporting in service industries. The article delves into the sophisticated mechanisms by which robots collect, process, and report TME data, focusing on their capacity to enhance resource management and drive continuous improvement in service delivery. Through an analysis of advanced sensor integration, automated report generation, and seamless enterprise system integration, the article highlights the significant improvements in data accuracy, real-time reporting, and operational efficiency achieved through robotic TME systems. Case studies from manufacturing and utility sectors provide concrete evidence of the benefits, including substantial reductions in downtime, maintenance costs, and response times, alongside improvements in inventory management and predictive maintenance capabilities. The article also addresses key challenges such as data accuracy, integration complexity, and cost management while emphasizing the opportunities for enhanced efficiency, improved resource allocation, and data-driven decision-making. By synthesizing findings from recent technological advancements and industry applications, this article offers valuable insights into the current state and future potential of robotic TME reporting, underlining its crucial role in shaping the future of service operations across diverse industries.
This article explores the emerging field of decentralized identity solutions, with a focus on sel... more This article explores the emerging field of decentralized identity solutions, with a focus on self-sovereign identity (SSI) as a transformative approach to digital identity management. It examines the limitations of traditional centralized systems and highlights how decentralized frameworks address these issues by empowering users with control over their personal data. The article discusses key components of SSI, including Decentralized Identifiers (DIDs) and Verifiable Credentials, and explores the potential benefits of these systems in enhancing privacy, security, efficiency, and inclusivity. Additionally, it analyzes the challenges facing widespread adoption, such as standardization, scalability, user experience, and regulatory compliance, while considering ongoing research efforts and future directions in this rapidly evolving domain.
On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed ... more On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed reports of an organization-wide cybersecurity breach. This concerns how an (allegedly) 18-year-old attacker could hack the ridesharing giant’s IT infrastructure, acquire access to user data, and access vulnerabilities reported to Uber’s HackerOne account. It’s important to note that a single technology solution could not have avoided this breach, nor was it that a single person, company, or provider was to blame. Building on CyberArk Red Team and Labs ‘analysis, let’s delve deeper into the Uber hack, particularly the hard-coded credentials that were reportedly used to gain administrative access. This incident underscores the criticality of stacked defenses, showing how they can effectively collaborate to thwart related attacks. This should instill confidence in our ability to mitigate such breaches in the future, knowing that we have a robust system in place.
This article explores the transformative impact of artificial intelligence (AI) and machine learn... more This article explores the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on the food manufacturing industry, focusing on the synergistic relationship between human expertise and AI-driven solutions. It examines key areas where this collaboration drives significant improvements, including supply chain security, predictive maintenance, regulatory compliance, data security, and continuous improvement processes. Integrating AI and ML technologies offers unprecedented capabilities in data analysis, predictive modeling, and process optimization, enabling food manufacturers to enhance operational efficiency, reduce risks, and maintain high standards of product quality and safety The article highlights how combining AI's computational power and human insight creates a powerful synergy that addresses the industry's most pressing challenges in an increasingly complex and competitive market.
This comprehensive article explores the multifaceted approach required for securing cloud-native ... more This comprehensive article explores the multifaceted approach required for securing cloud-native applications in today's rapidly evolving technological landscape. It delves into the unique security challenges posed by microservices, containers, and serverless architectures, highlighting the inadequacies of traditional perimeter-based defenses in these dynamic environments. The paper presents a detailed analysis of best practices, including runtime protection, container image scanning, zero trust networking, and the implementation of the least privilege principle. It emphasizes the critical need for continuous learning and adaptability in security strategies, discussing the importance of threat intelligence, security automation, and the ability to swiftly adapt to cloud provider changes.
This article explores the transformative potential of blockchain technology in supply chain manag... more This article explores the transformative potential of blockchain technology in supply chain management (SCM), addressing longstanding challenges such as lack of transparency, inefficiencies, and fraud risks. It examines the key advantages of blockchain in SCM, including enhanced transparency, traceability, efficiency, and security. The article discusses significant opportunities in food safety, pharmaceutical supply chains, and sustainable sourcing. Additionally, it highlights critical implementation challenges, such as scalability issues, integration complexities, regulatory uncertainties, and data privacy concerns. By analyzing real-world applications and ongoing research, this comprehensive overview provides insights into the current state and prospects of blockchain in SCM, emphasizing both its revolutionary potential and the hurdles that must be overcome for widespread adoption.
The adoption of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transfor... more The adoption of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transformed risk management practices in financial services. This paper examines the impact of AI and ML on enhancing risk management through more precise credit risk evaluations, automated fraud detection, and advanced investment strategies. By analyzing case studies from JPMorgan Chase, ZestFinance, and Betterment, the study illustrates how these technologies improve accuracy, efficiency, and decisionmaking in financial operations. However, challenges such as data integrity, algorithmic transparency, and ethical concerns must be addressed. The paper concludes with insights into future developments and the need for effective strategies to overcome these challenges and fully capitalize on the benefits of AI and ML in managing financial risk.
This comprehensive article explores the strategic implementation of multicloud architectures for ... more This comprehensive article explores the strategic implementation of multicloud architectures for cost optimization and enhanced operational efficiency in organizations. It delves into key aspects such as leveraging service diversity, optimizing workload distribution, strategic use of various instance types, and the benefits of improved negotiation power and continuous benchmarking. The article also addresses critical considerations for resilience and availability in multicloud environments, highlighting how these factors contribute to overall cost efficiency. Technical considerations for effective implementation are discussed, including the need for robust management tools, standardized processes, staff training, governance policies, and regular resource allocation reviews.
Financial institutions are prime targets for cybercriminals due to their valuable data, potential... more Financial institutions are prime targets for cybercriminals due to their valuable data, potential for significant payouts, and the substantial impact attacks can have on the economy and daily life. This article examines the critical components for securing financial networks, addressing key aspects such as network security architecture, insider threat mitigation, secure remote access protocols, advanced threat detection systems, comprehensive employee training programs, regulatory compliance measures, and collaboration among industry stakeholders. By implementing these strategies, financial institutions can enhance their ability to protect their digital assets, sensitive data, and network infrastructure against increasingly sophisticated cyber attacks, ultimately contributing to the overall stability and security of the financial secto
Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies ... more Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies of the 21st century, and their convergence is reshaping industries across the board. This article explores the synergies between AI and cloud computing, examining how AI enhances cloud services in areas such as resource optimization, automatic scaling, and security. It delves into key use cases and applications, including predictive maintenance, intelligent data management, and automated cloud operations. The technical implementation of AI in cloud environments is discussed, covering popular frameworks, best practices, and real-world examples. The article also addresses the challenges of data privacy, cost optimization, and skill gaps, proposing potential solutions. Finally, it looks at future directions, including edge computing, AI-driven DevOps, and federated learning, providing a comprehensive overview of the current state and future prospects of AI in cloud computing.
This comprehensive article explores the critical role of routing and switching in modern network ... more This comprehensive article explores the critical role of routing and switching in modern network design and implementation, highlighting their fundamental principles, synergistic relationships, and wide-ranging applications across various industries. It delves into the intricacies of switching at Layer 2 of the OSI model, examining key technologies such as VLANs, trunking, and Spanning Tree Protocol, while also providing an in-depth analysis of routing principles at Layer 3, including core protocols like OSPF, EIGRP, BGP, and MPLS. The article emphasizes the collaborative nature of routing and switching in maintaining network integrity, optimizing performance, and enhancing security. Advanced concepts in network design, including route redistribution, Quality of Service implementation, and security measures like Access Control Lists and IPsec, are thoroughly discussed. The implications for network professionals are explored, focusing on the challenges of designing scalable and resilient networks, optimizing performance, and adapting to complex digital environments. Finally, the article examines the practical applications of routing and switching across various sectors, demonstrating their crucial role in supporting enterprise operations, enhancing network security, and facilitating seamless communication in diverse network ecosystems. This comprehensive article provides valuable insights for both seasoned professionals and those new to the field, underscoring the continued importance of routing and switching in shaping the future of network infrastructure.
This article explores the transformative impact of Artificial Intelligence (AI) on Human Resource... more This article explores the transformative impact of Artificial Intelligence (AI) on Human Resources (HR) management. It examines how AI is revolutionizing various aspects of HR, including recruitment and hiring, employee onboarding, performance management, employee engagement, administrative tasks, workforce planning, and compliance and risk management. The article discusses the benefits of AI in enhancing efficiency, providing data-driven insights, and enabling more strategic decision-making in HR processes. It also addresses the challenges and ethical considerations associated with AI implementation in HR, emphasizing the importance of balancing technological capabilities with human expertise and judgment.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
In today's landscape, digital innovation and transformation are occurring at a rapid pace, introd... more In today's landscape, digital innovation and transformation are occurring at a rapid pace, introducing the risk of vulnerabilities into systems. It is imperative for organizations to build robust cyber defense strategies to safeguard against potential threats. If exploited by attackers, these vulnerabilities can lead to significant financial, regulatory, and reputational losses. An effective vulnerability management program is essential for providing assurance that systems are being monitored and risks are being mitigated, thereby keeping attacks at bay. This paper explores a comprehensive vulnerability management framework that organizations can utilize as a starting point to build their programs, ensuring robust security and resilience against emerging threats.
This article explores the transformative potential of Artificial Intelligence (AI) in enhancing b... more This article explores the transformative potential of Artificial Intelligence (AI) in enhancing business efficiency and enabling automation across various sectors. It examines the technological advancements that have fueled the AI revolution, particularly in hardware capabilities. It details the AI-driven data lifecycle, including data processing, insight generation, process simplification, automation implementation, and continuous improvement through feedback loops. The article also discusses the significant benefits of AI-enabled efficiency and automation, such as increased productivity, enhanced accuracy, scalability, cost reduction, and improved customer experience. Drawing on numerous studies and industry examples, it illustrates how AI reshapes business operations and decision-making processes while acknowledging the challenges and considerations for successful AI implementation.
This article explores the transformative impact of human-AI collaboration in the utilities sector... more This article explores the transformative impact of human-AI collaboration in the utilities sector, examining how the integration of artificial intelligence with human expertise is reshaping operational paradigms and driving innovation. It delves into the multifaceted applications of AI in utility operations, including predictive analytics for equipment failure prevention, AI-driven customer service enhancements, and advanced data management for real-time decision support. Through a comprehensive analysis of practical examples and a detailed case study of the Catapult Project, the article illustrates the tangible benefits of this collaboration in areas such as predictive maintenance, energy demand forecasting, and grid optimization. The research highlights the critical role of human oversight in ensuring ethical AI implementation, validating AI outputs, and making strategic decisions.
This comprehensive article explores the synergistic relationship between Apache Kafka and secure ... more This comprehensive article explores the synergistic relationship between Apache Kafka and secure proxies in the context of Internet of Things (IoT) applications and network security. The article delves into Kafka's robust capabilities for data ingestion, real-time processing, and analytics in IoT environments, while also examining the critical role of secure proxies in ensuring data privacy compliance and enhancing overall security posture. Through an in-depth analysis of streaming analytics with KSQL, the extension of Kafka's functionality via Kafka Connect, and the performance implications of secure proxy deployments, the paper provides valuable insights for organizations seeking to optimize their IoT infrastructures.
The rapid growth of data and the emergence of diverse database solutions have made database selec... more The rapid growth of data and the emergence of diverse database solutions have made database selection a critical aspect of software development. This article presents a structured methodology for choosing the right database based on an organization's requirements and use cases. The proposed approach consists of five key steps: defining project requirements, identifying core database features, evaluating available database options, prioritizing and eliminating candidates, and conducting proof of concepts or benchmarks. Organizations can navigate the complex landscape of database options by considering data volume, performance expectations, scalability, and deployment models. The article highlights the importance of aligning the selected database with the application's specific needs to ensure optimal performance and cost-effectiveness.
This comprehensive article examines the transformative impact of robotic systems on Time, Materia... more This comprehensive article examines the transformative impact of robotic systems on Time, Material, and Expense (TME) reporting in service industries. The article delves into the sophisticated mechanisms by which robots collect, process, and report TME data, focusing on their capacity to enhance resource management and drive continuous improvement in service delivery. Through an analysis of advanced sensor integration, automated report generation, and seamless enterprise system integration, the article highlights the significant improvements in data accuracy, real-time reporting, and operational efficiency achieved through robotic TME systems. Case studies from manufacturing and utility sectors provide concrete evidence of the benefits, including substantial reductions in downtime, maintenance costs, and response times, alongside improvements in inventory management and predictive maintenance capabilities. The article also addresses key challenges such as data accuracy, integration complexity, and cost management while emphasizing the opportunities for enhanced efficiency, improved resource allocation, and data-driven decision-making. By synthesizing findings from recent technological advancements and industry applications, this article offers valuable insights into the current state and future potential of robotic TME reporting, underlining its crucial role in shaping the future of service operations across diverse industries.
This article explores the emerging field of decentralized identity solutions, with a focus on sel... more This article explores the emerging field of decentralized identity solutions, with a focus on self-sovereign identity (SSI) as a transformative approach to digital identity management. It examines the limitations of traditional centralized systems and highlights how decentralized frameworks address these issues by empowering users with control over their personal data. The article discusses key components of SSI, including Decentralized Identifiers (DIDs) and Verifiable Credentials, and explores the potential benefits of these systems in enhancing privacy, security, efficiency, and inclusivity. Additionally, it analyzes the challenges facing widespread adoption, such as standardization, scalability, user experience, and regulatory compliance, while considering ongoing research efforts and future directions in this rapidly evolving domain.
On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed ... more On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed reports of an organization-wide cybersecurity breach. This concerns how an (allegedly) 18-year-old attacker could hack the ridesharing giant’s IT infrastructure, acquire access to user data, and access vulnerabilities reported to Uber’s HackerOne account. It’s important to note that a single technology solution could not have avoided this breach, nor was it that a single person, company, or provider was to blame. Building on CyberArk Red Team and Labs ‘analysis, let’s delve deeper into the Uber hack, particularly the hard-coded credentials that were reportedly used to gain administrative access. This incident underscores the criticality of stacked defenses, showing how they can effectively collaborate to thwart related attacks. This should instill confidence in our ability to mitigate such breaches in the future, knowing that we have a robust system in place.
This article explores the transformative impact of artificial intelligence (AI) and machine learn... more This article explores the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on the food manufacturing industry, focusing on the synergistic relationship between human expertise and AI-driven solutions. It examines key areas where this collaboration drives significant improvements, including supply chain security, predictive maintenance, regulatory compliance, data security, and continuous improvement processes. Integrating AI and ML technologies offers unprecedented capabilities in data analysis, predictive modeling, and process optimization, enabling food manufacturers to enhance operational efficiency, reduce risks, and maintain high standards of product quality and safety The article highlights how combining AI's computational power and human insight creates a powerful synergy that addresses the industry's most pressing challenges in an increasingly complex and competitive market.
This comprehensive article explores the multifaceted approach required for securing cloud-native ... more This comprehensive article explores the multifaceted approach required for securing cloud-native applications in today's rapidly evolving technological landscape. It delves into the unique security challenges posed by microservices, containers, and serverless architectures, highlighting the inadequacies of traditional perimeter-based defenses in these dynamic environments. The paper presents a detailed analysis of best practices, including runtime protection, container image scanning, zero trust networking, and the implementation of the least privilege principle. It emphasizes the critical need for continuous learning and adaptability in security strategies, discussing the importance of threat intelligence, security automation, and the ability to swiftly adapt to cloud provider changes.
This article explores the transformative potential of blockchain technology in supply chain manag... more This article explores the transformative potential of blockchain technology in supply chain management (SCM), addressing longstanding challenges such as lack of transparency, inefficiencies, and fraud risks. It examines the key advantages of blockchain in SCM, including enhanced transparency, traceability, efficiency, and security. The article discusses significant opportunities in food safety, pharmaceutical supply chains, and sustainable sourcing. Additionally, it highlights critical implementation challenges, such as scalability issues, integration complexities, regulatory uncertainties, and data privacy concerns. By analyzing real-world applications and ongoing research, this comprehensive overview provides insights into the current state and prospects of blockchain in SCM, emphasizing both its revolutionary potential and the hurdles that must be overcome for widespread adoption.
The adoption of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transfor... more The adoption of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transformed risk management practices in financial services. This paper examines the impact of AI and ML on enhancing risk management through more precise credit risk evaluations, automated fraud detection, and advanced investment strategies. By analyzing case studies from JPMorgan Chase, ZestFinance, and Betterment, the study illustrates how these technologies improve accuracy, efficiency, and decisionmaking in financial operations. However, challenges such as data integrity, algorithmic transparency, and ethical concerns must be addressed. The paper concludes with insights into future developments and the need for effective strategies to overcome these challenges and fully capitalize on the benefits of AI and ML in managing financial risk.
This comprehensive article explores the strategic implementation of multicloud architectures for ... more This comprehensive article explores the strategic implementation of multicloud architectures for cost optimization and enhanced operational efficiency in organizations. It delves into key aspects such as leveraging service diversity, optimizing workload distribution, strategic use of various instance types, and the benefits of improved negotiation power and continuous benchmarking. The article also addresses critical considerations for resilience and availability in multicloud environments, highlighting how these factors contribute to overall cost efficiency. Technical considerations for effective implementation are discussed, including the need for robust management tools, standardized processes, staff training, governance policies, and regular resource allocation reviews.
Financial institutions are prime targets for cybercriminals due to their valuable data, potential... more Financial institutions are prime targets for cybercriminals due to their valuable data, potential for significant payouts, and the substantial impact attacks can have on the economy and daily life. This article examines the critical components for securing financial networks, addressing key aspects such as network security architecture, insider threat mitigation, secure remote access protocols, advanced threat detection systems, comprehensive employee training programs, regulatory compliance measures, and collaboration among industry stakeholders. By implementing these strategies, financial institutions can enhance their ability to protect their digital assets, sensitive data, and network infrastructure against increasingly sophisticated cyber attacks, ultimately contributing to the overall stability and security of the financial secto
Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies ... more Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies of the 21st century, and their convergence is reshaping industries across the board. This article explores the synergies between AI and cloud computing, examining how AI enhances cloud services in areas such as resource optimization, automatic scaling, and security. It delves into key use cases and applications, including predictive maintenance, intelligent data management, and automated cloud operations. The technical implementation of AI in cloud environments is discussed, covering popular frameworks, best practices, and real-world examples. The article also addresses the challenges of data privacy, cost optimization, and skill gaps, proposing potential solutions. Finally, it looks at future directions, including edge computing, AI-driven DevOps, and federated learning, providing a comprehensive overview of the current state and future prospects of AI in cloud computing.
This comprehensive article explores the critical role of routing and switching in modern network ... more This comprehensive article explores the critical role of routing and switching in modern network design and implementation, highlighting their fundamental principles, synergistic relationships, and wide-ranging applications across various industries. It delves into the intricacies of switching at Layer 2 of the OSI model, examining key technologies such as VLANs, trunking, and Spanning Tree Protocol, while also providing an in-depth analysis of routing principles at Layer 3, including core protocols like OSPF, EIGRP, BGP, and MPLS. The article emphasizes the collaborative nature of routing and switching in maintaining network integrity, optimizing performance, and enhancing security. Advanced concepts in network design, including route redistribution, Quality of Service implementation, and security measures like Access Control Lists and IPsec, are thoroughly discussed. The implications for network professionals are explored, focusing on the challenges of designing scalable and resilient networks, optimizing performance, and adapting to complex digital environments. Finally, the article examines the practical applications of routing and switching across various sectors, demonstrating their crucial role in supporting enterprise operations, enhancing network security, and facilitating seamless communication in diverse network ecosystems. This comprehensive article provides valuable insights for both seasoned professionals and those new to the field, underscoring the continued importance of routing and switching in shaping the future of network infrastructure.
This article explores the transformative impact of Artificial Intelligence (AI) on Human Resource... more This article explores the transformative impact of Artificial Intelligence (AI) on Human Resources (HR) management. It examines how AI is revolutionizing various aspects of HR, including recruitment and hiring, employee onboarding, performance management, employee engagement, administrative tasks, workforce planning, and compliance and risk management. The article discusses the benefits of AI in enhancing efficiency, providing data-driven insights, and enabling more strategic decision-making in HR processes. It also addresses the challenges and ethical considerations associated with AI implementation in HR, emphasizing the importance of balancing technological capabilities with human expertise and judgment.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
This article comprehensively examines recent advancements in data engineering, focusing on two le... more This article comprehensively examines recent advancements in data engineering, focusing on two leading platforms: Teradata and Snowflake. Through a rigorous methodology encompassing literature review, case study analysis, and industry report examination, the study offers an in-depth exploration of cutting-edge developments in machine learning integration, hybrid cloud solutions, serverless computing, and advanced data governance. The article highlights Teradata's strides in predictive analytics, real-time decisionmaking capabilities, and performance optimization while showcasing Snowflake's innovations in automatic scaling, secure data sharing, and real-time analytics. A comparative analysis of these platforms reveals their respective strengths, weaknesses, and ideal use case scenarios, providing valuable insights for organizations navigating the complex landscape of modern data engineering. The article also delves into emerging industry trends, predicted market shifts, and strategies for professionals to stay informed in this rapidly evolving field. By synthesizing technical advancements with practical implications, this article is a crucial resource for data engineering professionals, researchers, and decision-makers seeking to leverage the latest innovations in big data analytics and cloud-based data warehousing solutions.
In today's landscape, digital innovation and transformation are occurring at a rapid pace, introd... more In today's landscape, digital innovation and transformation are occurring at a rapid pace, introducing the risk of vulnerabilities into systems. It is imperative for organizations to build robust cyber defense strategies to safeguard against potential threats. If exploited by attackers, these vulnerabilities can lead to significant financial, regulatory, and reputational losses. An effective vulnerability management program is essential for providing assurance that systems are being monitored and risks are being mitigated, thereby keeping attacks at bay. This paper explores a comprehensive vulnerability management framework that organizations can utilize as a starting point to build their programs, ensuring robust security and resilience against emerging threats.
This article explores the transformative potential of Artificial Intelligence (AI) in enhancing b... more This article explores the transformative potential of Artificial Intelligence (AI) in enhancing business efficiency and enabling automation across various sectors. It examines the technological advancements that have fueled the AI revolution, particularly in hardware capabilities. It details the AI-driven data lifecycle, including data processing, insight generation, process simplification, automation implementation, and continuous improvement through feedback loops. The article also discusses the significant benefits of AI-enabled efficiency and automation, such as increased productivity, enhanced accuracy, scalability, cost reduction, and improved customer experience. Drawing on numerous studies and industry examples, it illustrates how AI reshapes business operations and decision-making processes while acknowledging the challenges and considerations for successful AI implementation.
This article explores the transformative impact of human-AI collaboration in the utilities sector... more This article explores the transformative impact of human-AI collaboration in the utilities sector, examining how the integration of artificial intelligence with human expertise is reshaping operational paradigms and driving innovation. It delves into the multifaceted applications of AI in utility operations, including predictive analytics for equipment failure prevention, AI-driven customer service enhancements, and advanced data management for real-time decision support. Through a comprehensive analysis of practical examples and a detailed case study of the Catapult Project, the article illustrates the tangible benefits of this collaboration in areas such as predictive maintenance, energy demand forecasting, and grid optimization. The research highlights the critical role of human oversight in ensuring ethical AI implementation, validating AI outputs, and making strategic decisions.
This comprehensive article explores the synergistic relationship between Apache Kafka and secure ... more This comprehensive article explores the synergistic relationship between Apache Kafka and secure proxies in the context of Internet of Things (IoT) applications and network security. The article delves into Kafka's robust capabilities for data ingestion, real-time processing, and analytics in IoT environments, while also examining the critical role of secure proxies in ensuring data privacy compliance and enhancing overall security posture. Through an in-depth analysis of streaming analytics with KSQL, the extension of Kafka's functionality via Kafka Connect, and the performance implications of secure proxy deployments, the paper provides valuable insights for organizations seeking to optimize their IoT infrastructures.
Searching is one of the important operations in computer science. Retrieving information from hug... 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.
The article considers the main aspects of the relationship of individual psychological characteri... 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.
Now-a-days, there is an increasing demand for data integration and analytics due to the availabil... 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.
Fire prevention and fighting is significantly important to protect the properties of the State, t... 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
In the world of today’s telecommunication and internet based digital business economy, mobile ban... 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
his research paper will basically conduct an explicit view of Kerbside recycling application, nam... 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
Various changes have been taking place in procurement, manufacturing, and physical distribution s... 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
Firms are giving increased attention to servitization because it is one of the major trends in th... 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.
The study mainly wanted to find out the aspects having an impact on the entrepreneurship growth a... 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
Indian Modern Food Retail Chains (MFRC) have been growing as the fastest in developing countries ... 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
In 2019, the People's Representative Council of Indonesia pledged to be a modern parliament, char... 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)
This paper deals with the effect of VSC-HVDC link on two area load frequency control having therm... 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.
The concept of Spirituality is difficult to understand on a superficial level. However, God is pr... 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..
Hydraulics now a days is a very distinguished area which has lot of major challenges often came i... 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
Finding women in the families and in the communities as managers in disaster risk
reduction with ... 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.
Managing and accessing resources across cloud service providers (CSPs) in today's
dynamic cloud c... 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.
In this research paper, it is widely recognized that innovation plays a central role in the compe... 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
In water resources and more specifically in hydrology, the application of mathematical models to ... 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.
Ordinary concrete is widely used in construction engineering due to its high compressive strength... 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.
Road development requires great investments not just for building of brand new infrastructure but... 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.
Pipes laying on an unstable slope of soft soil are prone to movement. Pipelines that are buried i... 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.
The aim of this research article is to fabricate and study the behavior of aluminum nano composit... 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.
Since its inception, friction stir welding, FSW has been promising easy operation and environment... 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.
This paper proposes the analysis and review of different factors of wind farm connected grid stat... 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.
The increasing utilization of renewable energy sources (RESs) plays a vital role within the moder... 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.
The modeling, simulation and control strategy of a hybrid power system (HPS) integrating a wind e... 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.
Avionic bay equipment tends to malfunction or fail out rightly when they operate in an environmen... 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.
Singing bowl/Himalayan bowl is a type of standing bell played by rubbing its rim with a wooden ma... 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.
In this study, we analyzed and predicted the software development cost applicable to system solut... 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.
Based on information collected from various research papers [1] about the blood pressure values a... 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%.
The use of renewable energies, mainly wind and photovoltaic, are sources of generation that have ... 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.
The usage of filter is inevitable in most of the electronics devices to reject all unwanted high ... 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.
Korea's agriculture is facing a crisis due to the expansion of market opening, the decrease in ag... 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.
This analysis briefly identifies the state of Intermodal Freight Transport in Albania from a pers... 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.
The study aims at identifying the factors affecting time overrun in public construction projects ... 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.
Open innovation is a progressive process with rising number of literature studies for large compa... 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
Choosing the best stock is generally essential to bring in cash by worthy hazard level. We have t... 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.
The rise in the number of Pakistanis working abroad has created an important source of monetary f... 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
The purpose of this study is to determine the consumer product perception towards preferred brand... 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.
Mamata'r Chithi is one of the very few poems in which the Eliot's belief-that poetry is understoo... 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.
Fluid flow dynamics inside an engine combustion cylinder permits a better cylinder combustion, en... 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.
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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
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.
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.