Pub Date : 2021-08-30DOI: 10.46593/ijaera.2021.v07i04.001
Muhammad Asghar Khan, R. Akhtar, A. Babar
The manufacturing process of High-Pressure Laminates was investigated using a strong optimization tool, the Taguchi method. High pressure laminates consist of various types. Each type has specific manufacturing process and uses. One of the utmost and crucial types of High-Pressure Laminate is Electrical Bakelite Sheet or industrial grade sheet. Electrical Bakelite Sheet is mainly used in Transformer as an insulated material. The Taguchi method was used to enhance the quality of the product and optimized the manufacturing process of Electrical Bakelite Sheet. Baking Time, Temperature, Resin Content, Pressure and Volatile Content are factors of industrial grade sheet manufacturing process and responses of these factors are electrical Insulation and thickness. Optimal value of these factors for the process are obtained through Taguchi method and found experimentally. As a result, the Taguchi technique is used to explore the effects of various electrical Bakelite Sheet parameters on responses such as electrical insulation and thickness. Pressure, Temperature, Volatile Content, Resin Content, and Baking Time are the factors which should be considered for the experiment. The Taguchi L27 orthogonal array is used for testing. The significant factors for responses of the electrical Bakelite Sheet are identified using analysis of variance (ANOVA). Determination of the significant factors value resulted in best achieving yield of the product.
{"title":"Optimization of High-Pressure Laminate Manufacturing Process by Taguchi Method","authors":"Muhammad Asghar Khan, R. Akhtar, A. Babar","doi":"10.46593/ijaera.2021.v07i04.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v07i04.001","url":null,"abstract":"The manufacturing process of High-Pressure Laminates was investigated using a strong optimization tool, the Taguchi method. High pressure laminates consist of various types. Each type has specific manufacturing process and uses. One of the utmost and crucial types of High-Pressure Laminate is Electrical Bakelite Sheet or industrial grade sheet. Electrical Bakelite Sheet is mainly used in Transformer as an insulated material. The Taguchi method was used to enhance the quality of the product and optimized the manufacturing process of Electrical Bakelite Sheet. Baking Time, Temperature, Resin Content, Pressure and Volatile Content are factors of industrial grade sheet manufacturing process and responses of these factors are electrical Insulation and thickness. Optimal value of these factors for the process are obtained through Taguchi method and found experimentally. As a result, the Taguchi technique is used to explore the effects of various electrical Bakelite Sheet parameters on responses such as electrical insulation and thickness. Pressure, Temperature, Volatile Content, Resin Content, and Baking Time are the factors which should be considered for the experiment. The Taguchi L27 orthogonal array is used for testing. The significant factors for responses of the electrical Bakelite Sheet are identified using analysis of variance (ANOVA). Determination of the significant factors value resulted in best achieving yield of the product.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115385310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-31DOI: 10.46593/ijaera.2021.v07i03.001
Pankhudi Saraswat, Divya Jain
Machine learning is one of the most immensely growing field these days. It is gaining attention quickly and has people all around the world in awe of the tasks it can achieve. Machine and deep learning are a huge milestone while also being a great step in direction of technology as they can help us in achieving results with high precision. Astronomy is one such field that is reaching new levels with help of AI and machine learning. Through this paper, authors try to bridge the difference between the two fields and try to show how various machine learning algorithms have been implemented in the field of space research and have made work much easier and efficient. This article also addresses how deeply connected these two fields are how they can completely change the future of inventions and space information.
{"title":"The Role of Machine Learning in Astronomy","authors":"Pankhudi Saraswat, Divya Jain","doi":"10.46593/ijaera.2021.v07i03.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v07i03.001","url":null,"abstract":"Machine learning is one of the most immensely growing field these days. It is gaining attention quickly and has people all around the world in awe of the tasks it can achieve. Machine and deep learning are a huge milestone while also being a great step in direction of technology as they can help us in achieving results with high precision. Astronomy is one such field that is reaching new levels with help of AI and machine learning. Through this paper, authors try to bridge the difference between the two fields and try to show how various machine learning algorithms have been implemented in the field of space research and have made work much easier and efficient. This article also addresses how deeply connected these two fields are how they can completely change the future of inventions and space information.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.46593/ijaera.2021.v07i02.001
Krishna H. Gupta, Ajay K. Gaikwad
Due to technological development, gigantic skyscrapers and mega projects are possible resulting into increased demand of concrete for these projects. In municipal areas, site locations are in congested places where manual mixing is not possible. As Ready Mixed Concrete (RMC) is favoured more as it provides concrete of required quality and of required quantity. The success of RMC industry depends upon proper identification and assessment of risks or failure modes involved in various stages in concrete production. RMC industry is extremely complex in nature which contain many uncertainties resulting into complex risk management methodologies. The main aim of the research is to determine most critical risk that can occur at Ready Mix Concrete (RMC) plant and to provide suggestions to mitigate the most critical risk or failure modes. To achieve this aim, Failure Mode Effect Analysis (FMEA) is used combined with Analytical Network Process (ANP) to access and prioritize the risks involved at RMC plant as six risks resulted into same Risk Priority Number (RPN). Finally, it was concluded that injury at site is most critical risk involved at RMC plant. The research also provides suggestion to mitigate most critical risk.
{"title":"Risk Management in Ready Mixed Concrete (RMC) Plant by Using FMEA and ANP","authors":"Krishna H. Gupta, Ajay K. Gaikwad","doi":"10.46593/ijaera.2021.v07i02.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v07i02.001","url":null,"abstract":"Due to technological development, gigantic skyscrapers and mega projects are possible resulting into increased demand of concrete for these projects. In municipal areas, site locations are in congested places where manual mixing is not possible. As Ready Mixed Concrete (RMC) is favoured more as it provides concrete of required quality and of required quantity. The success of RMC industry depends upon proper identification and assessment of risks or failure modes involved in various stages in concrete production. RMC industry is extremely complex in nature which contain many uncertainties resulting into complex risk management methodologies. The main aim of the research is to determine most critical risk that can occur at Ready Mix Concrete (RMC) plant and to provide suggestions to mitigate the most critical risk or failure modes. To achieve this aim, Failure Mode Effect Analysis (FMEA) is used combined with Analytical Network Process (ANP) to access and prioritize the risks involved at RMC plant as six risks resulted into same Risk Priority Number (RPN). Finally, it was concluded that injury at site is most critical risk involved at RMC plant. The research also provides suggestion to mitigate most critical risk.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134165701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-31DOI: 10.46593/ijaera.2021.v07i01.002
Shubham Garg, Saurabh Pandey, Sarthak Kaushal, A. Dhull, Yogita Gigras
This paper presents an empirical performance analysis of various object detection algorithms for the identification of on road objects from the perspective of different pre-processing techniques. The analysis is done on some real time traffic videos data captured from CCTV camera. The preprocessing techniques considered for analysis are background subtraction, denoising and smoothing methods. For background subtraction, two popular algorithms named Temporal Median Filtering and Canny Edge Detection are being utilized. The Temporal Median Filtering outputs the mask of the objects of interest by eliminating the background and Canny Edge Detection draws the outline of the objects of interest. Gaussian Blur technique is used for image smoothing and noise removal from traffic video. These transformations are applied on test videos of on road vehicle traffic collected manually and the results are obtained using state of the art methods. Apart from this analysis, a new trainingtesting model for quality object detection under different light conditions (day light, night and low vision) have also been proposed. The main idea here is to feed the detectors with images having less but meaningful features like object boundaries. This paper also presents a comparative analysis on state-of-the-art object detection algorithms such as YOLO and Mask-RCNN using transfer learning concept. Moreover, this paper also compares the performance of a segmentation model when fed with the data labelled with bounding boxes instead of the pixel level segmentation.
{"title":"An empirical performance analysis for on road object detection from Traffic videos: An image pre-processing perspective","authors":"Shubham Garg, Saurabh Pandey, Sarthak Kaushal, A. Dhull, Yogita Gigras","doi":"10.46593/ijaera.2021.v07i01.002","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v07i01.002","url":null,"abstract":"This paper presents an empirical performance analysis of various object detection algorithms for the identification of on road objects from the perspective of different pre-processing techniques. The analysis is done on some real time traffic videos data captured from CCTV camera. The preprocessing techniques considered for analysis are background subtraction, denoising and smoothing methods. For background subtraction, two popular algorithms named Temporal Median Filtering and Canny Edge Detection are being utilized. The Temporal Median Filtering outputs the mask of the objects of interest by eliminating the background and Canny Edge Detection draws the outline of the objects of interest. Gaussian Blur technique is used for image smoothing and noise removal from traffic video. These transformations are applied on test videos of on road vehicle traffic collected manually and the results are obtained using state of the art methods. Apart from this analysis, a new trainingtesting model for quality object detection under different light conditions (day light, night and low vision) have also been proposed. The main idea here is to feed the detectors with images having less but meaningful features like object boundaries. This paper also presents a comparative analysis on state-of-the-art object detection algorithms such as YOLO and Mask-RCNN using transfer learning concept. Moreover, this paper also compares the performance of a segmentation model when fed with the data labelled with bounding boxes instead of the pixel level segmentation.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128423951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-31DOI: 10.46593/ijaera.2021.v07i01.001
Pranav Sharma, Divya Jain, A. Dhull
Human brain is more complex than any other known structure in the universe. Millions and trillions of information like the memories are stored, habits learned, and personalities are shaped in it. To know how all this work and to know how mind basically respond on certain events, Psychology came in action. Most of the work in this field is based upon the history and impressions while major treatment is done using guess work, even the best psychiatrists choose the correct treatment for a given patient only about 37% which we ultimately want to improve. So, this paper presents the major connection between computer science and psychology and how machine learning can change the overall approach and methods in the treatment of mental health and in the understanding of psychology.
{"title":"Psychology Approach: Through AI, ML and DL","authors":"Pranav Sharma, Divya Jain, A. Dhull","doi":"10.46593/ijaera.2021.v07i01.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v07i01.001","url":null,"abstract":"Human brain is more complex than any other known structure in the universe. Millions and trillions of information like the memories are stored, habits learned, and personalities are shaped in it. To know how all this work and to know how mind basically respond on certain events, Psychology came in action. Most of the work in this field is based upon the history and impressions while major treatment is done using guess work, even the best psychiatrists choose the correct treatment for a given patient only about 37% which we ultimately want to improve. So, this paper presents the major connection between computer science and psychology and how machine learning can change the overall approach and methods in the treatment of mental health and in the understanding of psychology.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-30DOI: 10.46593/ijaera.2021.v06i10-11-12.001
Waleed N. Najem, Ammar Y. Alqahtani
This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life. As neural networking system in the human body represents a smooth delivery and reception of data between the neural joints, in similarity to public transportation delivering public to multiple points/zones. Today's simulation systems depend on simulating real life to help us find an optimized solution but never the ultimate optimization. Applying an intelligent design like the human neural system into real life will deliver an ultimate solution to such a problem. Applying a neural networking system to Jeddah's traffic platform allowed us to reach an optimized map/network for the public transportation services with clear stations/stops numbers and real-life path/lane to be followed.
{"title":"Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design","authors":"Waleed N. Najem, Ammar Y. Alqahtani","doi":"10.46593/ijaera.2021.v06i10-11-12.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v06i10-11-12.001","url":null,"abstract":"This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life. As neural networking system in the human body represents a smooth delivery and reception of data between the neural joints, in similarity to public transportation delivering public to multiple points/zones. Today's simulation systems depend on simulating real life to help us find an optimized solution but never the ultimate optimization. Applying an intelligent design like the human neural system into real life will deliver an ultimate solution to such a problem. Applying a neural networking system to Jeddah's traffic platform allowed us to reach an optimized map/network for the public transportation services with clear stations/stops numbers and real-life path/lane to be followed.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133957835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-31DOI: 10.46593/ijaera.2021.v06i09.001
R. Rai, R. Pathak
Suspension leaf springs are widely used in automobile systems. The increasing interest of automobile industry in the usage of composite materials in substitute to conventional steel leaf springs owing to higher strength to weight ratio in latter. The past literature survey shows that leaf springs are designed as generalized force elements where the position, velocity and orientation of the axle mounting gives the reaction forces in the chassis attachment positions. The attachment of chassis positions along different positions plus difference in axle mounting’s velocity and orientation, the leaf springs are designed for these force elements. So, it is very important to study the analysis of leaf springs made up of composite materials. Modelling of leaf spring has been done with SOLIDWORKS 20.0 software and analysis has been carried out with ANSYS R19.2. Thus, the comparison of static analysis of these three materials are made and compared for material composites leaf spring. The static testing is done for a load of 50000 N in the rear suspension, also FE analysis is carried out and validated.[1] Von Mises Stress and Total Deformation were found out from this analysis. The conclusion was reached that there was a reduction in both stress and weight when composite material was used rather than conventional steel material. It is an effective energy conservation measure as reduction in overall fuel consumption of automobile is also achieved.
{"title":"Analysis and Optimization for Weight and Stress reduction in Leaf Spring","authors":"R. Rai, R. Pathak","doi":"10.46593/ijaera.2021.v06i09.001","DOIUrl":"https://doi.org/10.46593/ijaera.2021.v06i09.001","url":null,"abstract":"Suspension leaf springs are widely used in automobile systems. The increasing interest of automobile industry in the usage of composite materials in substitute to conventional steel leaf springs owing to higher strength to weight ratio in latter. The past literature survey shows that leaf springs are designed as generalized force elements where the position, velocity and orientation of the axle mounting gives the reaction forces in the chassis attachment positions. The attachment of chassis positions along different positions plus difference in axle mounting’s velocity and orientation, the leaf springs are designed for these force elements. So, it is very important to study the analysis of leaf springs made up of composite materials. Modelling of leaf spring has been done with SOLIDWORKS 20.0 software and analysis has been carried out with ANSYS R19.2. Thus, the comparison of static analysis of these three materials are made and compared for material composites leaf spring. The static testing is done for a load of 50000 N in the rear suspension, also FE analysis is carried out and validated.[1] Von Mises Stress and Total Deformation were found out from this analysis. The conclusion was reached that there was a reduction in both stress and weight when composite material was used rather than conventional steel material. It is an effective energy conservation measure as reduction in overall fuel consumption of automobile is also achieved.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"63 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133321724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.46593/ijaera.2020.v06i08.001
Ahmad O. Alamoudi, S. Abed
This study was conducted to support the Saudi Vision 2030 to move beyond oil dependency by diversifying the sources of its income by increasing the tourists demand in the Kingdom, especially religious tourism which provides more money flowing continuously in the economy depending on its strategic location at the center of the world. This study aims to forecast the annual number of International Umrah visitors to Makkah from the period of 2020 to 2030, to achieve the 2030 Saudi Vision of serving 30 million visitors in 2030. Historical data of international Umrah visitors were collected for the past 33 years on an annual basis. This univariate time series of the annual number of international Umrah visitor has been studied and forecasted to predict the annual number of Umrah visitors for the next 11 years. Different forecasting techniques were used to identify the best technique among them to forecast the future demand. The best technique among those used in the study was ARIMA (2, 2, 2) model as best fitted model with the least residual measures of 9% MAPE. The results of the study indicate that annual number of international Umrah visitors will increase from 7.6 million in 2020 to 12.3 million in 2030. Annual increment percentage decreased from 11% in the historical data to 5% in the forecasted data affected by recent year’s growth due to the variability of issuing Umrah visas before 2030 vision’s announcement. It is clearly shown based on historical data and recent growth in Umrah visitors the 30 million visitors’ goal in 2030 will not be achieved. To achieve the set goal of international Umrah visitors by 2030 the Saudi government would need to increase the growth rate of issuing Umrah visa with an average of 12% approximately. In addition, lots of actions to attract more Umrah visitors such as aggressive marketing campaign, improve its housing 8 hospitality facilities, increase the capacity of its utility systems, and expand the overall infrastructure in the Holy places.
{"title":"Forecasting The Number of International Muslims Umrah Visitors in Makkah to 2030","authors":"Ahmad O. Alamoudi, S. Abed","doi":"10.46593/ijaera.2020.v06i08.001","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i08.001","url":null,"abstract":"This study was conducted to support the Saudi Vision 2030 to move beyond oil dependency by diversifying the sources of its income by increasing the tourists demand in the Kingdom, especially religious tourism which provides more money flowing continuously in the economy depending on its strategic location at the center of the world. This study aims to forecast the annual number of International Umrah visitors to Makkah from the period of 2020 to 2030, to achieve the 2030 Saudi Vision of serving 30 million visitors in 2030. Historical data of international Umrah visitors were collected for the past 33 years on an annual basis. This univariate time series of the annual number of international Umrah visitor has been studied and forecasted to predict the annual number of Umrah visitors for the next 11 years. Different forecasting techniques were used to identify the best technique among them to forecast the future demand. The best technique among those used in the study was ARIMA (2, 2, 2) model as best fitted model with the least residual measures of 9% MAPE. The results of the study indicate that annual number of international Umrah visitors will increase from 7.6 million in 2020 to 12.3 million in 2030. Annual increment percentage decreased from 11% in the historical data to 5% in the forecasted data affected by recent year’s growth due to the variability of issuing Umrah visas before 2030 vision’s announcement. It is clearly shown based on historical data and recent growth in Umrah visitors the 30 million visitors’ goal in 2030 will not be achieved. To achieve the set goal of international Umrah visitors by 2030 the Saudi government would need to increase the growth rate of issuing Umrah visa with an average of 12% approximately. In addition, lots of actions to attract more Umrah visitors such as aggressive marketing campaign, improve its housing 8 hospitality facilities, increase the capacity of its utility systems, and expand the overall infrastructure in the Holy places.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125698737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-30DOI: 10.46593/ijaera.2020.v06i07.001
O. Taylan, Zayed A. Alharthi
Monitoring electrical power system and clarifying the way of electricity flow is a difficult task, that might cause electricity cuts because of the increasing loads of grids. In recent years, the observations showed that electric loads in Taif city have increased significantly due to the population growth and large urbanization. These causes require a good monitoring and analyzing system intensively to maintain continuity and reliability of electrical service. Machine learning and dynamic programming approaches will be employed for forecasting the distribution of power load and optimization of Electrical Power System in Taif City to avoid the unexpected problems in electrical network before they have occurred. The other goal is to facilitate monitoring of the electrical power system in Taif city and clarify the electricity flow from Makkah to Taif and then to other neighboring districts. The results and findings of the study will be evaluated using the methods of error calculation and ranking and presented in detail.
{"title":"Forecasting and Simulation for Electrical Power System and Load Distribution in Taif – Saudi Arabia","authors":"O. Taylan, Zayed A. Alharthi","doi":"10.46593/ijaera.2020.v06i07.001","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i07.001","url":null,"abstract":"Monitoring electrical power system and clarifying the way of electricity flow is a difficult task, that might cause electricity cuts because of the increasing loads of grids. In recent years, the observations showed that electric loads in Taif city have increased significantly due to the population growth and large urbanization. These causes require a good monitoring and analyzing system intensively to maintain continuity and reliability of electrical service. Machine learning and dynamic programming approaches will be employed for forecasting the distribution of power load and optimization of Electrical Power System in Taif City to avoid the unexpected problems in electrical network before they have occurred. The other goal is to facilitate monitoring of the electrical power system in Taif city and clarify the electricity flow from Makkah to Taif and then to other neighboring districts. The results and findings of the study will be evaluated using the methods of error calculation and ranking and presented in detail.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-31DOI: 10.46593/ijaera.2020.v06i06.001
Desta Dana
Green Computing is the emerging technologies and practice of using computing resources in an eco-friendly manner to enhance the green environments by using the computing applications and services. Also, the applications of green computing are used to enhance the decent, smart and green environment by using computing technology as the tools. In study, green computing for the green environments focus on using the IT and its services effectively by making your environments, working offices, day to activities is very strongly connected with technologies. In generally, the green computing is one proposed solution for global climate changes.
{"title":"Influence of ICT on Green Computing","authors":"Desta Dana","doi":"10.46593/ijaera.2020.v06i06.001","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i06.001","url":null,"abstract":"Green Computing is the emerging technologies and practice of using computing resources in an eco-friendly manner to enhance the green environments by using the computing applications and services. Also, the applications of green computing are used to enhance the decent, smart and green environment by using computing technology as the tools. In study, green computing for the green environments focus on using the IT and its services effectively by making your environments, working offices, day to activities is very strongly connected with technologies. In generally, the green computing is one proposed solution for global climate changes.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114081865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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