IJLRET Journal

For the adoption of any new material or technology, it generally needs proven performance record over traditional materials. Considerable research is carried out in India, towards the technology development so that Self Compacting Concrete (SCC) could soon find a place in the Indian construction industry. In the present work, experimental investigation is carried out on the strength properties of fibrous SCC with triple blending. Fly ash and condensed silica fume (CSF) are both employed as replacement to cement at various percentages to give triple blending. By doing this kind of triple blending it is expected to derive the beneficial properties of both the mineral admixtures. Concrete mixture of grade M40 is designed and tried for the SCC. Steel fibres of different aspect ratios ranging from 10-20 are tried along with polypropylene fibres of 12 mm length. SCC mixtures with various combinations were tested for workability, compressive strength, split tensile strength and flexural st...

This paper proposes an LQR controller for the balance and stability of an electric unicycle. Aparticle swarm optimization (PSO) algorithm is utilizedto automatically track the best solution of the weighting matrices Q and R of` the controller, rather than randomly choosing their weights. It also examines dynamics of the electric unicycle's schematic design, which has a backing seat for the passenger and is analogous to the Segway device equipped with a handle shaft for direction. Command tracking or regulation of some initial state condition were examined and demonstrated by time based simulations of the modelled system. The results evidently indicate that the LQR controller can effectively and efficiently attain attitude equilibrium for the two-wheeled unicycle.

The advection and reaction diffusion equation is an important expression within many branches of engineering, due to its wide use within mathematical modeling in dispersion and diffusion processes in the transport of mass, economy or a contaminant within a porous medium or atmospheric. Now the objective of this article is to show the solution found in the previous article [12] was in terms of the Laplace and Fourier Transform now it will be in terms of the error function and its relationship with other solutions of the same partial differential equation can be an analytical solution option for one-dimensional, two-dimensional, or threedimensional models, with some examples shown.

The aim of this study is reported in face of the phenomenon of reindustrialization in Europe, supported by developing a case study as a Company can react to the process adopting a new management model, as the factory was almost disactivated during several years, so the final idea is to demonstrate that is a new reindustrialization movement, but not performing on the same way as in the past. The European Foundation for Quality model (EFQM) and then apply the improvement and management actions in each one of its aspects in order to promote and evaluate the permanent and continuous improvement, for this proposal we use the change and organizational development method. Leadership style, in this process of transformation and in the case in particular through changes in the shareholder body, the change of generation and especially by the inclusion of the professional management team, in consequence of the key performance indicators improvement, including the EFQM score as a all. The implementation of a management model will lead management to a leadership style conducive to value creation and results in terms of quality, human and financial capital based on effective organizational performance. Phased implementation, with the creation and development of pilot areas, is particularly beneficial to the organization's culture.

Neuromarketing is an interdisciplinary and emerging study that helps to better understand brain function and thus improves marketing and sales operations. The present study aimed to explain the roles of neuromarketing in improving consumer buying behavior in large retail stores. The statistical population consisted of customers in large retail stores of Shiraz. Due to the unknown number of the statistical population, the sample size was obtained to be 385 according to Cochran's formula for unknown societies. Data collection was performed using desk and field studies, and the questionnaires were used to collect data. The data analysis was performed by confirmatory factor analysis (CFA) and structural equations modeling (SEM) using SPSS and AMOSE. According to the research results, neuromarketing and its tools, including the use of customer's senses, customer satisfaction, evoking customer loyalty, considering the customer's unconscious mind, as well as the customer's logical intelligence, and customer memory significantly affected consumer buying behavior in retail stores.

Experimental investigations were carried out to determine the Tensile and Hardness characteristics of cast AA6063 Aluminium rods produced from sand and permanent cast moulds. Sand and permanent moulds were fabricated and used to produce Aluminium rods. The test samples from cast rods were subjected to Tensile and Hardness tests. The results obtained showed better Tensile and Hardness properties, in the sand cast samples than that of permanent cast samples. The hardness of permanent and sand casting varied from 66.5Hv to 70.0Hv. Also, Ultimate Tensile Strength increased from 108.78MPa in permanent casting to 161.97MPa in sand casting. Conversely, the Tensile and Hardness properties of the cast products improved from those of permanent casting to sand casting. Therefore, sand cast products could be used in as-cast condition in engineering applications requiring better quality parts while permanent casting may be used in as-cast condition for nonengineering applications or engineering applications requiring less quality parts.

The study comprises an analysis of data from 2010 to 2020, it was proposed to obtain the best or best probability distribution functions that model the concentrations of NOX and NO in Mexico City, using the probability distribution function, to obtain the estimators, the maximum likelihood and moments method was used and with the help of the Matlab program, RMSE, MSE, coefficient of determination, and approximation index were used to assess the forecast model, the daily concentration data are downloaded from the official website of monitoring of the official air page of Mexico City.

When sparse dot-matrix image of halftone dots (printing-quantum-dots image) is used to realize information recording, information hiding, and information anti-counterfeiting, there is a problem of high bit error rate caused by the stain of printed information and the misjudgment of read information. In this paper, a reliable encoding and decoding algorithm of sparse lattice information based on printing-quantum-dots image is proposed. The encoding algorithm use a combination of information encryption, Low-Density-Parity-Check (LDPC) encoding, interleaved encoding and frame synchronization encoding, generating the printing-quantumdots image. The decoding algorithm is the inverse process of the encoding algorithm, and can partially intercept the printing-quantum-dots image for reading. From the experimental results, it can be concluded that the combined coding scheme has better error-correcting ability and imperceptibility, the SSIM of before and after embedding reaches above 0.99, and the PSNR reaches above 54dB. Moreover, it can extract the printingquantum-dots from the cover image, and read the hidden information. Besides, compared to BCH code, and convolutional code, it has high coding efficiency, prominent coding efficiency, as well as faster decoding speed.

Gynecological cytology, which involves microsopic observation of a cervical sample, is the gold standard in screening of cervical cancer even todayand commonly known as the Pap smear. Regular screening for human papilloma virus (HPV) in postitive Pap smears improved understanding of relationship between HPV and cervical cancer, however, not much attention is given to the other infectious agents such as Gardnerella vaginalis, Trichomonas vaginalis, yeasts and mixed vaginal bacterial flora. In this study, we investigated the relationship between these infectious agents and morphological changes of the cervical cells as well as amount of released microbial metabolic products and their possible role in the development of cervical cancer.

This paper presents the numerical simulation results of the hot rolling process of the copper-carbon steel bimetal sheet using ABAQUS software. The response surface methodology (RSM) based on a central composite experiment design (CCD) was used to study the influence of process parameters on the deformability of the copper-carbon steel bimetal sheet fabricated by hot rolling. Researched process parameters include rolling temperature T (0 C), degree of deformation ε (%), the rotational speed of the roll v (rpm). Deformability is assessed through the maximum rolling force P max (tons) and the maximum stress of the workpiece σ max (MPa). The obtained results allow analysis and selection of reasonable process parameter ranges of the bimetal sheet preparation.

Information technology (IT) systems have primarily been used as a supplement to traditional teaching methodologies prior to the coronavirus pandemic. With the closures of higher education institutions resulting from lockdown restrictions, IT mediums were used creating a rapid shift from face-to-face learning to e-learning. However, this sudden transition resulted in IT challenges being faced by students to continue education. This study aims to identify the IT challenges faced by students in higher education. There is an endeavor to recommend solutions to facilitate students to continue education, towards positive sustainable progression post pandemic. A systematic literature review by means of a thorough literature search is carried out in this study using published and grey literature sources. Results have identified the following challenges that are discussed in this study: A rapid transition to e-learning from remote locations to continue education; cloud computing; and security challenges.

Many systems and businesses use cyberspace for online advertising to introduce their products and services, but the emergence of online advertising blockers (adblockers) and the widespread desire of cyberspace users to use these technologies have vastdimensions and implications for the Internet advertising ecosystem that seems to have been neglected by many experts. The present study aimed to investigate the role of Internet advertising blockers on determinants of consumer buying behavior. The statistical population consisted of users in the age range of 20 to 40 years as the most common users of cyberspace. The present study was conducted using structural equation modeling (SEM). The data collection tool included a questionnaire with the Likert scale which was validated and confirmed using confirmatory factor analysis (to confirm validity), and Cronbach's alpha coefficient (to confirm reliability). The results confirmed that the widespread use of online advertising blockers, despite their widespread use, had significant effects on reducing customers' purchase intention, consumers' awareness of products and services, brand association in deciding to buy, and consumers' perceived quality of the brand.

This new work presents the Advection Diffusion Reaction Equation under mixed boundary conditions, for a case of contamination transport which is solved by means of the Fourier Series and the Green Function, giving an alternative to the case of numerical solution and with a forcing at a specific point, a simpler Fourier coefficient than the previous case of the previous work of the complete solution will be found, which together with a pollutant rate as a function of time will be modeled for the One-dimensional solution, the software used For the simulation it is Matlab 2020, showing optimal results within the conditions indicated together with the variables of wind speed, diffusion coefficient and chemical reaction.

Functional foods, which aim to use the existing opportunities effectively to meet the food need due to the increasing population in the world, are still lacking in producing new products to support human health. In this study, functional food components were brought together to produce a non-alcoholic beverage that can be offered to individuals and has a resistance-increasing and immune system-strengthening effect. In the study, extracts containing flavonoids obtained from different plant sources and extraction method were added to the proteins found in liquid form in whey, and the mixture was enriched with casein obtained from milk. Pomegranate, cinnamon and chamomile plants have been selected considering their high flavonoid content and different colors and odours. In the extraction process, it was optimized with the Box-Behnken experimental design by using the classical extraction method in water solvent. Three different beverage samples with different effects were produced by adding casein and whey produced by precipitating the protein of milk with acetic acid and evaporating the acid to the prepared extracts, depending on the amount of antioxidants to be taken daily. It is recommended to prefer chamomile-based drinks for a positive and calming effect on cancer cells, pomegranate flower to neutralize harmful components accumulated in the body, cinnamon-based drinks for a soothing effect in neurodegenerative diseases, and to consume all beverage samples to observe all these antiinflammatory effects is expected to lead.

Currently, the individual needs a high immune system in order to fight against increasing diseases and/or epidemics. Macro, micro and functional foods that should be taken in the daily diet may be insufficient owing to various reasons. Therefore, the importance of the use of food supplements and functional foods which are recommended by experts has been increasing in recent years. In this study, effervescent tablet prototypes that support the immune system of the individual, which different antioxidant source (turmeric, cinnamon and pomegranate peel) and sodium-caseinate combinations,were produced with the aid of the Box-Behnken experimental design.Also some of the properties including dissolution time, pH, total acidity, density and viscosity, andamounts of phenolics, dry matter, sugar were optimized by means of Design Expert program.As a result, it was concluded that the combinations of parametersstudied had a remarkable effect on the dissolution time and phenolic content, wheres they did not have significant effect on other properties.

In this research, an attempt is made to explore into the potential dangers that the practitioners of welding activities are posed to in the welding activities. 200 questionnaires were administered across parts of four (4) Local Government Areas that make up Sokoto Metropolis of Nigeria, Sokoto North, Sokoto South, Wamakko and Dange-Shuni Local Government Areas. This was aimed at collecting data from welding practitioners on their adherences to safety precautions in the practice welding activities. 195 out 200 administered questionnaires were retrieved and analysed. The results of the analysis revealed that,the majority of welding practitioners in the metropolis lacks the basic education about the code of practice in welding and neglect most necessary safety precautions which arose due to lack of regulations and enforcement of adherences to codes by any governmental agency. It was then recommended that government should regulate, enforce adherences to codes and support the practitioners within the metropolis.

Sociology, as a scientific resource and constitutional theoretical paradigm, is, through its micro-and phenomenological-humanist component, increasingly requested, in contemporary social assistance. The sociological scientific foundation of the policies and practices of the new types of social assistance, in accordance with the realities of the beginning of the millennium, being a necessity. Under the conditions of shaking structural or universalist solutions and paradigms, advancing postmodernist paradigms and social solutions, sociologists must increasingly resort to visions, concepts, theories or methods such as existentialist or personalist-humanist, often marginalized in periods of economic and social well-being. , when redistribution policies and universalist-solidarity mechanisms automatically solve many social problems. That is precisely those paradigms that highlight the valences and role of the small group, the small community, the context and the person in social determinism, in the explanation of the social vulnerability and problem.

The cooling energy usage of data centers and telecommunication sites is enormous and has a growth rate of 11% every year. Finding an energy-efficient solution for cooling needs poses a considerable challenge for engineers. In this article,the performancesof a phase change material-based (PCM) thermal energy storage (TES)installed in a telecommunication site areevaluated with the design methods and control optimization. Three representative days of the year (free-cooling, expanded free-cooling and summer period) and their possible savings,as well as the savings of an entire year period are investigated and showcased. During the freecooling period 83,1% cooling associated electricity consumption was saved with the added indirect free-cooling system through the TES. For the expanded free-cooling period, the TES was charged using the free-cooling and discharged when free-cooling was not possible anymore, accounting for 78,7% cooling associated electricity saving. During the summer period only the chiller's efficiency was optimized, resulting in 17,1% saving. During 2019. 57,7% and during 2020. 54,8% cooling associated electricity was saved.

Material management is the system for planning and controlling to ensure that the right quality and quantity of materials and equipment are specified in a timely manner. The research work evaluates the impacts and awareness of materials management strategies on project delivery in Nigerian construction industry. Seventy (70) questionnaires on construction sites will be chosen at random for the purpose of achieving the objectives of this impact and awareness of materials management strategies on project delivery in Nigeria construction industry were distributed for collection of data. Data were obtained from both the primary and secondary sources which include interview, questionnaire, textbooks journal publications and internet facilities. The result revealed that scheduling and planning ranked first with RSI value of 0.711(71.10%), planning and delivery ranked second with RSI value of 0.709 (70.90%), handling ranked third with RSI value of 0.674 (67.40%). These are followed by security systems, stock control, material variance analysis, waste control, inventory, Construction Materials Planning System (CMPS), Construction Materials Management Software (CMMS), ICT based material management techniques, Performance Information Procurement System (PIPS), Just-in-Time (JIT), Material Handling Equipment Selection Advisor (MHESA), Construction Materials Exchange (COME), and Enterprise Resource Planning (ERP) respectively. Conclusion and recommendations were made from the results obtained from the research.

In the present study, an attempt has been made to comprehensively investigate the bearing capacity characteristics of shallow strip footing, placed on a geogrid reinforced granular soil and underlain by a soft clay deposit. A finite element limit analysis (FELA)approach has been used to obtain the upper bound value of the true collapse load. Investigation of several critical parameters, such as thickness of the sand layer, friction angle of the sand, and number of geogrid layers are investigated under a parametric framework and the results are presented in the form of charts. Based on the results obtained, the efficacy of installation of geogrids has been established and subsequently, their optimal spacing has been obtained. Present study would be highly beneficial to the practicing civil engineers while designing a shallow foundation over a granular soil, underlain by a weak clay soil layer.

With the rapid proliferation of wireless technologies and the emergence of artificial intelligence (AI) empowered wireless devices, the demands for high data rates, low latency, massive connectivity, and ubiquitous coverage are continually increasing. Since 5th Generation (5G) of cellular networks offer relatively lower data rates and latency than the requirements, therefore, world's giant companies and academia have started working beyond 5G and conceptualize their vision about the 6th Generation (6G). This paper envisions the need to move towards a new generation by carefully observing three primary aspects. Firstly, the technological gaps that the current 5G standards are facing are highlighted by specifying the prerequisite for 6G. Secondly, exploiting the newly adopted AI-based potential services such ashologram, self-automated vehicles, 3D connectivity, etc. are discussed. Thirdly, investigating the new frequency spectrum resources for 6G, i.e., Terahertz (THz) and Visible Light Communication (VLC), that ensure high transmission rates across the networks. Furthermore, the key issues and challenges are also highlighted to explore the grand 6G vision.

On the night of May 17, 2021 a severestorm hit Nuevo Laredo, Tamaulipas with very heavy rain and intense wind, causing damage to the city. Among the damages are the impact on the electric power supply, fallingtrees, branches, billboards and roofs, as well as floods in certain sectors, including the Quetzalcóatl international Airport in the city of Nuevo Laredo Tamaulipas, Mexico.

The following study is a summary of the method with which they were used for the evaluation of the phenomena studied with the topics such as Gaussian Processes, Bayesian Inference, Extreme Value, Adjustment Of Probability Distribution Functions And Their Validations With Statistical Estimators.

The study comprises an analysis of data from 2010 to 2020, it was proposed to obtain the best or best probability distribution functions that model SO2 concentrations in México City, using the following pdf, T location scale distribution function, extreme value distribution function and exponential distribution function, to obtain the estimators the method of maximum likelihood and moments was used and aided by the Matlab program, for valuation of the forecast model, RMSE, MSE, coefficient of determination, approximation of prediction and approximation index, in turn an analysis is made to observe its trend with an analysis of variance, the daily concentration data is downloaded from the official monitoring page and corroborating with the official air page of México City.

The demand for electric power is growing at a rapid rates in Nigeria, and the available conventional generation is not sufficient to meet this rising demand. Therefore, solar photovoltaic (PV) systems are been considered as alternative source of power generation. This paper presents a case study investigating the effect of solar PV on the Nigerian power system using power flow analysis method. Various solar PV penetration levels are connected to the network and the power flow results are presented. The results showed that before application of solar PV, there is under voltage in some of the buses of the system but were improved to safe operation values with the application of PV system. Also, the total system power loss was reduced by 19.26%. In this way, the power system becomes more secured and reliable.

In this paper, based on the Jumarie type of modified Riemann-Liouville (R-L) fractional derivatives, we use a new multiplication, fractional Taylor series method and chain rule for fractional derivatives to find the fractional Taylor series expansions of some fractional functions.These results we obtained are the generalizations of Taylor series expansions of several classical functions.

The present paper provides alternative formulae for calculating a third and fourth power of a number. The number can be any number selected from a group consisting of a natural number, a whole number, an integer, a rational number, and an irrational number. The formulae enable easy and fast calculation of the third and fourth power of a given number.

The following article deals with the analysis of the daily Maximum Temperatures of Mexico City and its relationship with the Maximum Ozone Concentrations in México City itself, based on its Bivariate behavior and a Gaussian mixing analysis to see the corresponding variability between both. events.

The aim pursued in the development of the case study design is to create a school center with "almost zero energy" (nZEB) through the use of methodology (BIM from 3D to 6D) which, on the one hand, reduce the risk of errors in the design phase and, on the other hand, prevent subsequent time and cost extensions in the construction phase and allow for a detailed and updated energy analysis. This last point is essential for both the design phase and the facility management phase. These objectives are fully achieved through the construction of a high school of first degree, located in the historic part of the city of Teramo (IT), which will replace the existing one but damaged and rendered unusable by the earthquake of 2016. Below of this will be installed a car park for public use which will increase the availability of stalls in an area that has a shortage. The site where the project will be built is that of the old municipal stadium, located within the historic center of the city of Teramo, around which it will be appropriate to modify the road network aimed at solving some small problems.

In order to solve the adaptability problem of several fractional order calculus definitions in fractional order DC-DC converter and the continuous current mode of inductor current, In this paper, a buck boost steadystate characteristic analysis method in CCM is proposed, and the judging conditions of the converter operating in CCM are given. Compared with the parameter judgment condition of the converter operating in CCM defined by Caputo, the method proposed in this paper is more accurate.

The total ankle arthroplasty (TAA) is an alternative procedure to the arthrodesis in the treatment of advanced arthritis in the ankle joint. And for the ankle joint replacement if damaged or destroyed.The main objective of this project to determine if the destroyed human ankle can be replaced by an artificial ankle joint, which can be suitable for all type of people with more success rate and less failure rate by doing Finite element simulation on the CAD model. Which will give us the basic idea of an impact of different forces on the artificial joint and what it does to it. We must design an artificial ankle for different kind of people depending on their height, weight and model. The main goal must be that the artificial ankle must be an exact replica of the damaged bone. It should work just like the original bone. Firstly, there will be brief description of the ankle joint and how it works, by that we can create an artificial joint CAD model. Then using Finite element Method, the simulation is done for it.

The vertical design spectrum was defined in modern seismic design codes as a ratio from horizontal response spectra for different levels of seismic intensity. These spectra are important for some special structural systems which are indicated in the seismic design codes. In this study, 268 sets of shallow crustal earthquakes in three magnitude levels of earthquakes were selected to evaluate the characteristics of the vertical design spectrum in the Egyptian design seismic code (ECP-201, 2012). The database records of strong motions were taken from Pacific Earthquake Engineering Research Center (PEER) for diverse areas in the world. Four types of soil (A, B, C and D) based on ECP-201 are used in the evaluations. The first type of elastic response spectrum for shallow crustal earthquakes was recommended according to the ECP-201. The evaluation indicated that significant differences between the mean vertical spectral response spectra and individuals derived from the ECP-201 code for different seismicity. The V/H ratio is sensitive to both earthquake magnitude levels and soil types.

A multisignature scheme is a digital signature scheme that allows multiple signers to generate a single signature in a collaborative and simultaneous manner. In this paper we first review of the digital multisignature schemes using elliptic curvers and elliptic curve version of the multisignature scheme with distinguished signing responsibilities. Then, we propose a new multisignature scheme with distinguished signing responsibilities. In this scheme, each group member has distinguished signing responsibility and partial contents of the message can be verified without revealing the whole message. Our proposed scheme is more efficient than the scheme reviewed and capable of application in practice.

This paper presents a comprehensive one-dimensional, equivalent-linear dynamic response analysis of river sand mixed with shredded tire chips, based on a rigorous numerical modelling technique. Due to substantial increase in urbanization and consequent increase in the number of vehicles, a large number of wastetires are accumulated each year. An improper management of the tires generated in this much significant quantity may become hazardous for the environment and therefore, some sustainable techniques to reutilize the waste tires should be given due consideration. In this regard, addition of shredded rubber tires to enhance the dynamic properties of weak or poor soil in seismically prone region may be given due consideration. In the present study, influence of addition of shredded rubber and its consequent impact on the seismic ground response has been studied comprehensively based on a finite element analysis. Results are presented considering different strong ground motion. Parametric study has further been carried out to and results are presented to quantify the influence of significant parameters, such as rubber content (RC), thickness of rubber-sand mixed deposit (H). Acceleration-time history plots are presented at the bottom and top of the rubber-sand deposit. Maximum shear strain and its distribution has also been plotted. The efficacy of addition of rubber on sand to mitigate the seismic hazard has been illustrated.

The Study includes an analysis of Data from 2010 to 2020, it was proposed to obtain the best or best Probability Distribution Functions that Model CO Concentrations in Mexico City, using the following PDF, Gamma Distribution Function, Function of Extreme Value Distribution, T Location Scale Distribution Function and Exponential Distribution Function, to obtain the estimators the Maximum Likelihood and Moment Methods were used and with the help of the Matlab 2020a program, RMSE, MSE, were used to assess the forecast model. Determination Coefficient, Prediction Approach and Approximation Index, an analysis is made to observe its trend within the period using an Analysis of Variance at Daily Concentrations that later corroborating with the official air page of Mexico City.

In this paper evaluates the possibility uses of recycled fine aggregate (RFA) obtained from C& D waste a substitute of natural fine aggregate (river sand) for development of sustainable concrete. For this, an experimental investigation of M30 grade of concrete is prepared by using of 20, 30, 50, and 100% replacement of NFA by RFA and compared their results with conventional concrete (0% RFA). Target strength 30 MPa and slump value 100 mm is set for each series of concrete mix. Flow properties of concrete such as workability and harden properties like compressive strength, flexural strength, split tensile strength and modulus of elasticity evaluated. Results shows that compressive strength, flexural strength, splitting tensile strength and modulus of elasticity reduces 8.63%, 6.32%, 6.25% and 8.75%, respectively in concrete made with 30% replacement of NFA by RFA at 28 days than that of conventional aggregate concrete. In terms of rheological and mechanical properties, the trend displayed by concrete is also very much similar to the conventional concrete. Finding from this experimental study suggest that the RFA has enormous potential to considerably reduce the cost of concrete.

The parametric generators (PG-s) are high-efficient frequency dividers, that are often used in frequency mixing and modulation. The application range of PG-s is very large, e.g. in the quantum phase devices that are capable of receiving signals of lower intensity than noise, and storing of information for both phase information or quantization of stable phase states. PG-s are also present in many other applications.

The recent strategies for creating machine learning algorithms require experts with significant information on machine learning. This outcomes in preparing wide scope of people who can educate machines. The discipline of machine teaching is placed on generating the optimum training set that can direct a learning algorithm with the most proficiency. The vital advantage of machine teaching is that it put computerization devices under the control of common consumers with no software engineering foundation-that is, subject specialists. The idea is to empower business clients to take machine teaching tools and apply them to issues explicit to their industry divisions. In this paper, we review the various machine teaching paradigms that is useful for the machine learning algorithm to perform efficiently and effectively. The suggestions and directions for futureinvestigation are likewise proposed.

This work aims to analyze the thermal fluid flow in a stationary plasma arc cutting operation under the plasma gases argon, air and nitrogen. COMSOL software was utilized to solve multiphysics phenomena, including the laminar flow, the heat transfer, the electric and the magnetic field. The validation of the procedure was confirmed against papers found in the literature. The comparisons showed a good match. When the plasma behavior of the plasma arc cutting operation is investigated, one can see that physical plasma constriction causes plasmas to flow faster in greater temperatures. The highest plasma inlet velocity makes the most stable arc in argon plasma arc whereas the lowest plasma inlet velocity causes the same result in air plasma arc. Plasma arc torch design can be performed with the proposed method in this work.

Based on the actual production requirements, this paper studies the key issues of the mixed flow production line scheduling in the digital machine shop. Considering the shift constraints and machine state constraints, a robust scheduling algorithm is proposed. For the shift constraint, that is, the process must be arranged to the corresponding shift time of the machine, a time slice mapping mechanism is proposed to improve the efficiency of the algorithm. The algorithm considers the availability of the machine and the currently determined machine load in the machine allocation for the deterministic state constraint. The deterministic state requires that the current machine state be considered when arranging the machine. There are mainly three states: good, damaged and time-limited maintenance. Only when the machine is in good or nonmaintenance state at the current time, the processing can be arranged on the machine. Non-deterministic state refers to the uncertainty machine load. Uncertain machine load refers to the load caused by the arrival of random orders, machine failures and scheduling changes. The uncertain machine has a non-negligible effect on the scheduling results. The efficiency of a robust scheduling algorithm that considers shift constraints, predicted non-deterministic machine load components, and deterministic machine load components is verified by the simulation. Applying the scheduling method proposed in this paper to the actual machine shop mixed-flow production line scheduling, it can adjust the production cycle, rationally assign tasks, balance production load and avoid bottleneck machines, realize efficient operation of production lines, maximize resource utilization and meet the actual production management needs of manufacturing enterprises.

Today's energy systems increasingly rely on renewable energy sources. However, the energy potential of these solutions is not stable. This means that there will always be a supply and demand imbalance in this respect. Therefore, it becomes extremely important to create a hydrogen supply chain system that stabilizes the operation of the electricity network in the long term. The article shows the possibility of converting energy into hydrogen, which has many potential utility properties, including the possibility of changing it back into electricity. The assumptions for the integration of renewable energy sources with the power grid through hydrogen supply chain have been presented.

An industrial sedimentation tank was selected for the examination. The tank is suffering from floating problems. We applied computational fluid dynamics (CFD) simulations to explore the weak points. The 3D simulations were assuring the anticipated strengths and weaknesses. The shared experiences are including practical and theoretical knowledges about the model building and flow simulation tasks. Evaluation and suggestions are also included.

Conductive polymer as Polyaniline (PANI-ES) prepared by chemical oxidation polymerization method at room temperature and studied the effect the dopant sulfuric acid on the structure of the polymer, which prepared with molarity of sulfuric acid (1M), the changes taking place were follow-up by the following measurements: FESEM, FT-IR, I-V character. The diagnosis of the output polymer films by using infrared spectroscopy FT-IR, for doped samples with 1M of sulfuric acid observed change in the intensity of emission opposite the wave number corresponding to each bond, while not noticed any change in the position of the bonds with appearance anew peak return to SO 4 compound. By the FESEM properties of the surface study using the topography FESEM (Field Emission Scanning Electronic Microscopic) and calculated the particle revealed, that the compound has micro granular affected with the presence of acid. Electrical characteristic study by using the two-probe manner, it found that the samples had ohmic plots in which high linear coefficients. The doped samples of polymer had a highest conductivity of 2.98x10-4 S.cm-1 at 383 K, which observed for the H 2 SO 4 doped sample, which shows that was more prominent of localized salt in polymer.

Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. Industrial Motor Drives mainly deals with operations at base speed of motor. Electric Vehicle Motor Drives deals with operations that require sudden start and stop, low speed operations and base speed operations as well. The system should meet the objective of variable speed, variable torque applications like Electric Vehicles (EVs). As per studies, BLDC motor is found to be a suitable motive element for EV application based on its suitable torque speed characteristics. The system needs to implement with a suitable control mechanism that will help to operate the motor in an efficient manner.

The methodology was used to obtain new normal probability and extreme value distribution functions through Bayesian inference and stochastic mixture of Gaussians. The proposed methodology is oriented to data with Gaussian behavior and consists of fitting the normal distribution function to the time series data of the porosity data, transit time curves and the curve of the gamma geophysical record, to find the probability of the Minimum or estimated values to find areas of interest, then we use Bayesian inference for normal data, in this case they are looking for behavior and trend with new Gaussian and extreme value functions. To validate the model we use the following statistical estimators, measurement of the root of the squared error, squared error, coefficient of determination and prediction approximation.

It has been a fact that, certain women have a required knowledge, experience and training and could perform efficiently in building construction industries and other related sectors, but yet they were not fully represented in the sector because some numerous barriers that hinders their carrier development in theconstructional Area. So, thispaper aimed to assess those challenges faced by female in building construction industry and other related sectors in kebbi state, Nigeria. The objectives of the paper are to identify the barriers and suggest necessary solution that suit the study area. The data for this research were obtained from structured questionnaire distributed to workers of some construction companies, construction sites, Academic personnel and students from the Tertiary institution in kebbi state. From findings it shows that, participations of womenin building construction sector is obstructed by culture and religious seclusion, Family responsibilities, inadequate security of job in private sector, work stress and fatigue, inadequate pay, insecurity in working environment and inflexible working hours. The paper suggests that, the assumption of construction industry is a male dominant industry should be de-emphasized, and also equal gender opportunity should be set to attract more women in the sector.Finally, the industry should improve the physical and sorounding factors in respect to women by initiating flexible work hours, reducing work load and making the work less boring and stressful, also the dignity of women in construction sites should be highly respected by discouraging the use of foul languages and harassment.

Field service is a network of functionalities designed to fulfill demands at customer site. The focus of field service is to improve financial performance and customer service level through smart resource allocation. Researchers have attempted to build a flexible and approachable resource selection and allocation model. Developing hybrid modelsusing multi criteria decision making technique (MCDM) need attention. In this research, a hybrid fuzzy analytic hierarchy process (FAHP) and fuzzy preference ranking organization method for enrichment evaluation (FPROMETHEE) are proposed for resource prioritization. Mixed Integer non-linear programming (MINLP) model is used for resources allocation in field service. This work is to maximize the total value of resource allocation during the execution of power plant maintenance.