INTRODUCTION: To be purposeful beyond the return consideration by the way of giving importance to environment, society and governance of company through investing in companies that give priority to aforementioned factors by investors and their perception towards ESG is the crux of this research paper. For this several factors that measures the environment, social and governance are itemized and considered as the dependent variable.
OBJECTIVES: To know whether the influences of the three risk-acceptance levels on environment, social and governance factors were different based on selected demographic variables
METHODS: Some of the key demographic variables like Age range, Annual income and Employment status are taken as independent variables with another key variable the tolerance towards risk of the investors. The individual and interactive effect of the demographic variable along with the key variable (risk tolerance) in manipulating the effects over the dependent variables (ESG) in the key concept of discussion in this research. The research was conducted through a structured questionnaire among the investors in Chennai region of Tamilnadu (India). Data was analyzed through SPSS and the tool used to explain the purpose of the research was MANOVA.
RESULTS: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.
CONCLUSION: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.
{"title":"Perception on Investing in Stocks With ESG Relevance: A Descriptive View on Influence of Key Demographic Variables and Risk Profiling of Investors","authors":"R Satish, S Saravanan, N. V. Ramachandran","doi":"10.4108/ew.4270","DOIUrl":"https://doi.org/10.4108/ew.4270","url":null,"abstract":"INTRODUCTION: To be purposeful beyond the return consideration by the way of giving importance to environment, society and governance of company through investing in companies that give priority to aforementioned factors by investors and their perception towards ESG is the crux of this research paper. For this several factors that measures the environment, social and governance are itemized and considered as the dependent variable.
 OBJECTIVES: To know whether the influences of the three risk-acceptance levels on environment, social and governance factors were different based on selected demographic variables
 METHODS: Some of the key demographic variables like Age range, Annual income and Employment status are taken as independent variables with another key variable the tolerance towards risk of the investors. The individual and interactive effect of the demographic variable along with the key variable (risk tolerance) in manipulating the effects over the dependent variables (ESG) in the key concept of discussion in this research. The research was conducted through a structured questionnaire among the investors in Chennai region of Tamilnadu (India). Data was analyzed through SPSS and the tool used to explain the purpose of the research was MANOVA.
 RESULTS: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.
 CONCLUSION: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136068380","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}
The core objective of this research paper is to classify soil a particular region and also perform the scientific study for the prediction of suitable crops, which will yield more profit to the agronomist. The production of agriculture is mainly depends on soil type, cultivation seasons (climate), irrigation method (such as surface, sprinkler, drip/trickle, subsurface etc) and fertilizers (to increase the crop productivity). Soil is classified based on its physical properties (color, texture, structure, porosity, density etc) and chemical properties (phosphorous, nitrogen, carbon, calcium, magnesium, sodium, pH, potassium, sulfur etc). In this research paper soil types are classified by applying Bayesian models to decision tree algorithm and performed various analysis to verify that soil types are correctly classified and as wells to predict suitable crop cultivation during Kharif (monsoon), Rabi (winter) and Zaid (summer) seasons along with suitable irrigation methods and proper use of fertilizers to increase the crop productivity. The proposed algorithm offers unique features by adopting other tree inducers which produce optimum results even though the conditions are leads to chaotic behavior. The final results obtained are presented which illustrates optimum results and generates best decision tree for classification of soil type from the soil dataset. The Bayesian approach guarantees that the classifications of soil types are more accurate than the existing Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Decision Tree (DT) algorithms.
{"title":"Classification and Analysis of Soil Types using Bayesian Models for the Crop Agronomy","authors":"A. Zakiuddin Ahmed, T. Abdul Razak","doi":"10.4108/ew.4271","DOIUrl":"https://doi.org/10.4108/ew.4271","url":null,"abstract":"The core objective of this research paper is to classify soil a particular region and also perform the scientific study for the prediction of suitable crops, which will yield more profit to the agronomist. The production of agriculture is mainly depends on soil type, cultivation seasons (climate), irrigation method (such as surface, sprinkler, drip/trickle, subsurface etc) and fertilizers (to increase the crop productivity). Soil is classified based on its physical properties (color, texture, structure, porosity, density etc) and chemical properties (phosphorous, nitrogen, carbon, calcium, magnesium, sodium, pH, potassium, sulfur etc). In this research paper soil types are classified by applying Bayesian models to decision tree algorithm and performed various analysis to verify that soil types are correctly classified and as wells to predict suitable crop cultivation during Kharif (monsoon), Rabi (winter) and Zaid (summer) seasons along with suitable irrigation methods and proper use of fertilizers to increase the crop productivity. The proposed algorithm offers unique features by adopting other tree inducers which produce optimum results even though the conditions are leads to chaotic behavior. The final results obtained are presented which illustrates optimum results and generates best decision tree for classification of soil type from the soil dataset. The Bayesian approach guarantees that the classifications of soil types are more accurate than the existing Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Decision Tree (DT) algorithms.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"54 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136068510","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}
In recent years, position evaluation of mobile devices has developed as an essential part of social movement. Meantime, the criminals may interfere with the information of geographical position (geo-position), and they can adjust the geo-position for their convenience. Therefore, it is important to identify the authenticity of geo-position. In this paper, an instant messaging platform-based geo-tagged spoof image detection system is created using Jaccard similarity. With the help of a Fuzzy filter, the input, as well as spoofing images, are subjected to camera footprint extraction, and their corresponding outputs are fused by Dice Coefficient. Moreover, the input as well as spoofed images is subjected to geotagged process, and their corresponding geotagged input, and geotagged spoofed images are fused by Tanimoto similarity. At last, the fused images from Dice Coefficient, and Tanimoto similarity are employed for the spoof detection process, where the Jaccard similarity compares the two images using Dicerete Cosine Transform (DCT). Consequently, the spoofed images are detected, and their effectiveness is measured in terms of accuracy, False Positive Rate (FPR), and True Positive Rate (TPR), as well as the corresponding values are attained like 0.099, 0.892, and 0.896 respectively.
{"title":"Geo-Tagged Spoofing Detection using Jaccard Similarity","authors":"Shweta Koparde, Vanita Mane","doi":"10.4108/ew.4239","DOIUrl":"https://doi.org/10.4108/ew.4239","url":null,"abstract":"In recent years, position evaluation of mobile devices has developed as an essential part of social movement. Meantime, the criminals may interfere with the information of geographical position (geo-position), and they can adjust the geo-position for their convenience. Therefore, it is important to identify the authenticity of geo-position. In this paper, an instant messaging platform-based geo-tagged spoof image detection system is created using Jaccard similarity. With the help of a Fuzzy filter, the input, as well as spoofing images, are subjected to camera footprint extraction, and their corresponding outputs are fused by Dice Coefficient. Moreover, the input as well as spoofed images is subjected to geotagged process, and their corresponding geotagged input, and geotagged spoofed images are fused by Tanimoto similarity. At last, the fused images from Dice Coefficient, and Tanimoto similarity are employed for the spoof detection process, where the Jaccard similarity compares the two images using Dicerete Cosine Transform (DCT). Consequently, the spoofed images are detected, and their effectiveness is measured in terms of accuracy, False Positive Rate (FPR), and True Positive Rate (TPR), as well as the corresponding values are attained like 0.099, 0.892, and 0.896 respectively.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"4 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136382161","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}
INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype.
OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence.
METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study.
RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness.
CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.
{"title":"Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis","authors":"Lei Song","doi":"10.4108/ew.4221","DOIUrl":"https://doi.org/10.4108/ew.4221","url":null,"abstract":"INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype.
 OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence.
 METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study.
 RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness.
 CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"11 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135267120","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}
INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural life. With the development of the economy and science and technology, artificial intelligence and other information technologies are constantly integrated into daily life. Therefore, utilizing artificial intelligence for street space design research is significant.
OBJECTIVES: To improve the development level of artificial intelligence, information technology, and the application level of artificial intelligence in China; to solve the problem of the relatively low level of street space design in the current city, especially in small towns, to meet the needs of people's cultural life; to promote the improvement of the level of artificial intelligence in China for the convenience of civil life, and to further improve the level of street space design in China.
METHODS: Firstly discusses the theories, such as the principles of street space design in small cities, to illustrate the necessity of integrating AI into street space design in small towns; secondly, the model established by AI is used to optimize the street space in small cities; finally, the feasibility of integrating AI design into street space design in small towns is illustrated through cases and examples.
RESULTS: Street space design in small cities in China needs more design aesthetics, and artificial intelligence needs to be integrated into street space design. Artificial intelligence has a noticeable optimization effect on street space design, and using artificial intelligence can improve the design level of limited space. Also illustrates that artificial intelligence can be better integrated into the street space design of small cities through cases.
CONCLUSION: In the context of the digital era, the street space design of small cities needs to apply artificial intelligence. In modernization-oriented urban construction, the street space design level of small towns should be further strengthened to improve the modernization level of cities.
{"title":"Analysis of Artificial Intelligence Design Incorporated into Design of Street Space in Small Cities","authors":"Lei Song","doi":"10.4108/ew.4219","DOIUrl":"https://doi.org/10.4108/ew.4219","url":null,"abstract":"INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural life. With the development of the economy and science and technology, artificial intelligence and other information technologies are constantly integrated into daily life. Therefore, utilizing artificial intelligence for street space design research is significant.
 OBJECTIVES: To improve the development level of artificial intelligence, information technology, and the application level of artificial intelligence in China; to solve the problem of the relatively low level of street space design in the current city, especially in small towns, to meet the needs of people's cultural life; to promote the improvement of the level of artificial intelligence in China for the convenience of civil life, and to further improve the level of street space design in China.
 METHODS: Firstly discusses the theories, such as the principles of street space design in small cities, to illustrate the necessity of integrating AI into street space design in small towns; secondly, the model established by AI is used to optimize the street space in small cities; finally, the feasibility of integrating AI design into street space design in small towns is illustrated through cases and examples.
 RESULTS: Street space design in small cities in China needs more design aesthetics, and artificial intelligence needs to be integrated into street space design. Artificial intelligence has a noticeable optimization effect on street space design, and using artificial intelligence can improve the design level of limited space. Also illustrates that artificial intelligence can be better integrated into the street space design of small cities through cases.
 CONCLUSION: In the context of the digital era, the street space design of small cities needs to apply artificial intelligence. In modernization-oriented urban construction, the street space design level of small towns should be further strengthened to improve the modernization level of cities.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"59 sp2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135268133","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}
INTRODUCTION: The Internet era has made the world more closely connected, and ecotourism has also caught up with the Internet era of cloud computing, making more and more international ecotourism destinations in China known to the world. China's global ecotourism industry has made significant progress, but it needs to be better to construct international ecotourism destinations. Therefore, conducts the grouping analysis of QCA of international ecotourism destinations in the cloud computing era of geo-ecology.
OBJECTIVES: To improve the construction level of China's international ecotourism destinations and promote the in-depth development of China's global ecotourism; to solve the dilemma that China's ecotourism destinations are imperfectly constructed, and the brand can not go out; and to promote the enhancement of tourism concepts of international ecotourism destinations in the age of computers.
METHODS: Firstly, the feasibility analysis of international ecotourism destination construction in the cloud computing era is carried out by using QCA analysis and histogram analysis; secondly, the relevant QCA model is established to analyze the influencing factors of international ecotourism destination construction; lastly, the tripartite game model is utilized to explore the benefits of international ecotourism destinations for the residents, the government, and the enterprises.
RESULTS: The construction of international ecotourism destinations in China is feasible from the perspectives of functional spatial configuration, economic development, cultural tradition, and natural environment; the structure of international ecotourism destinations has an apparent positive driving effect on the construction sites; the tripartite game model shows that there are positive benefits not only for the residents, government, and enterprises but also for the related groups and tourists.
CONCLUSION: From the full text of the study, the construction of international ecotourism destinations has a significant driving effect on China's economy; however, the tourism industry in the era of cloud computing needs to be further standardized, and the construction of international ecotourism destinations should be strengthened.
{"title":"Grouping Analysis of QCA for International Ecotourism Destinations in Cloud Computing Era of Geo-ecology","authors":"Heng Gao, Jia Lei","doi":"10.4108/ew.4220","DOIUrl":"https://doi.org/10.4108/ew.4220","url":null,"abstract":"INTRODUCTION: The Internet era has made the world more closely connected, and ecotourism has also caught up with the Internet era of cloud computing, making more and more international ecotourism destinations in China known to the world. China's global ecotourism industry has made significant progress, but it needs to be better to construct international ecotourism destinations. Therefore, conducts the grouping analysis of QCA of international ecotourism destinations in the cloud computing era of geo-ecology.
 OBJECTIVES: To improve the construction level of China's international ecotourism destinations and promote the in-depth development of China's global ecotourism; to solve the dilemma that China's ecotourism destinations are imperfectly constructed, and the brand can not go out; and to promote the enhancement of tourism concepts of international ecotourism destinations in the age of computers.
 METHODS: Firstly, the feasibility analysis of international ecotourism destination construction in the cloud computing era is carried out by using QCA analysis and histogram analysis; secondly, the relevant QCA model is established to analyze the influencing factors of international ecotourism destination construction; lastly, the tripartite game model is utilized to explore the benefits of international ecotourism destinations for the residents, the government, and the enterprises.
 RESULTS: The construction of international ecotourism destinations in China is feasible from the perspectives of functional spatial configuration, economic development, cultural tradition, and natural environment; the structure of international ecotourism destinations has an apparent positive driving effect on the construction sites; the tripartite game model shows that there are positive benefits not only for the residents, government, and enterprises but also for the related groups and tourists.
 CONCLUSION: From the full text of the study, the construction of international ecotourism destinations has a significant driving effect on China's economy; however, the tourism industry in the era of cloud computing needs to be further standardized, and the construction of international ecotourism destinations should be strengthened.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135268430","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}
Roselly Jasmin Arce-Pizarro, Jeremy Darlin Arce-Pizarro, Alejandro Daniel Liñan-Romero, William Joel Marín-Rodriguez, Daniel Cristóbal Andrade-Girón, Flor de María Lioo-Jordán, Félix Gil Caro-Soto, Irina Patricia Calvo-Rivera
The general objective of the research in charge was to analyze the actual state of the area after the water pollution caused by the oil spill in Ancon 2022; in the same way, it showed a quantitative approach of non-experimental design of descriptive transversal type, the scope of the research was descriptive; Similarly, it reached a sample of 50 people affected, a survey was used as a technique and the questionnaire as an instrument, validated under criteria which was based on 20 questions for the variable of water pollution through the Likert scale, for this, a previous sample of 20 people was used for the reliability of Cronbach's Alpha; likewise, the data collected were compared by the Microsoft Excel program and the statistical software Jamovi cloud 2. 3. 26; finally, it was concluded that the consequences of water pollution from the oil spill were very harmful to the marine ecosystem, the environment, the surrounding people and the economy.
{"title":"Water contamination due to oil spill in Ancon","authors":"Roselly Jasmin Arce-Pizarro, Jeremy Darlin Arce-Pizarro, Alejandro Daniel Liñan-Romero, William Joel Marín-Rodriguez, Daniel Cristóbal Andrade-Girón, Flor de María Lioo-Jordán, Félix Gil Caro-Soto, Irina Patricia Calvo-Rivera","doi":"10.4108/ew.4210","DOIUrl":"https://doi.org/10.4108/ew.4210","url":null,"abstract":"The general objective of the research in charge was to analyze the actual state of the area after the water pollution caused by the oil spill in Ancon 2022; in the same way, it showed a quantitative approach of non-experimental design of descriptive transversal type, the scope of the research was descriptive; Similarly, it reached a sample of 50 people affected, a survey was used as a technique and the questionnaire as an instrument, validated under criteria which was based on 20 questions for the variable of water pollution through the Likert scale, for this, a previous sample of 20 people was used for the reliability of Cronbach's Alpha; likewise, the data collected were compared by the Microsoft Excel program and the statistical software Jamovi cloud 2. 3. 26; finally, it was concluded that the consequences of water pollution from the oil spill were very harmful to the marine ecosystem, the environment, the surrounding people and the economy.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135405830","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}
A Mekala, Bhaskar Kamal Baishya, Kamarajugadda Tulasi Vigneswara Rao, Deepak A Vidhate, Vinayak A Drave, P Vishnu Prasanth
This research aims to develop a Supporting Big Data and ML with a Framework for temperature forecasting using Artificial Neural Networks (ANN). The proposed framework utilizes a massive amount of historical weather data to train the ANN model, which can effectively learn the complex non- correlations that are linear with the parameters and temperature. The input variables include various weather parameters, such as humidity, wind speed, precipitation, and pressure. The framework involves three main stages: data pre-processing, model training, and temperature forecasting. In the data pre-processing stage, the raw weather data is cleaned, normalized, and transformed into a suitable format for model training. The data is then split into training, validation, and testing sets to ensure model accuracy. In model instruction stage, the ANN trained model using a backpropagation algorithm to adjust affected by the inherent biases and model based on the input and output data. The training process is iterative, and Using the validation, the efficiency of the model is measured. set to prevent overfitting. Finally, in the temperature forecasting stage, the trained ANN model is used to predict the temperature for a given set of weather parameters. The accuracy of the temperature forecasting is evaluated using the testing set, and the results are compared to other forecasting methods, such as statistical methods and numerical weather prediction models. The proposed framework has several advantages over traditional temperature forecasting methods. Firstly, it utilizes a vast amount of data, which enhances the accuracy of the forecast. Secondly, the ANN model can learn the interactions between the input variables that are not linear and temperature, which cannot be captured by traditional statistical methods. Finally, the framework can be easily extended to incorporate additional weather parameters or to forecast other environmental variables. The results of this research show that the proposed framework can effectively forecast temperature with high accuracy, outperforming traditional statistical methods and numerical weather prediction models. Therefore, it has the potential to improve weather forecasting and contribute to various applications, such as agriculture, energy management, and transportation.
{"title":"Big Data and Machine Learning Framework for Temperature Forecasting","authors":"A Mekala, Bhaskar Kamal Baishya, Kamarajugadda Tulasi Vigneswara Rao, Deepak A Vidhate, Vinayak A Drave, P Vishnu Prasanth","doi":"10.4108/ew.4195","DOIUrl":"https://doi.org/10.4108/ew.4195","url":null,"abstract":"This research aims to develop a Supporting Big Data and ML with a Framework for temperature forecasting using Artificial Neural Networks (ANN). The proposed framework utilizes a massive amount of historical weather data to train the ANN model, which can effectively learn the complex non- correlations that are linear with the parameters and temperature. The input variables include various weather parameters, such as humidity, wind speed, precipitation, and pressure. The framework involves three main stages: data pre-processing, model training, and temperature forecasting. In the data pre-processing stage, the raw weather data is cleaned, normalized, and transformed into a suitable format for model training. The data is then split into training, validation, and testing sets to ensure model accuracy. In model instruction stage, the ANN trained model using a backpropagation algorithm to adjust affected by the inherent biases and model based on the input and output data. The training process is iterative, and Using the validation, the efficiency of the model is measured. set to prevent overfitting. Finally, in the temperature forecasting stage, the trained ANN model is used to predict the temperature for a given set of weather parameters. The accuracy of the temperature forecasting is evaluated using the testing set, and the results are compared to other forecasting methods, such as statistical methods and numerical weather prediction models. The proposed framework has several advantages over traditional temperature forecasting methods. Firstly, it utilizes a vast amount of data, which enhances the accuracy of the forecast. Secondly, the ANN model can learn the interactions between the input variables that are not linear and temperature, which cannot be captured by traditional statistical methods. Finally, the framework can be easily extended to incorporate additional weather parameters or to forecast other environmental variables. The results of this research show that the proposed framework can effectively forecast temperature with high accuracy, outperforming traditional statistical methods and numerical weather prediction models. Therefore, it has the potential to improve weather forecasting and contribute to various applications, such as agriculture, energy management, and transportation.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135569387","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}
Nirav Bhatt, Arjun Vishanth, Divjot Singh, Radha R
The 21st Century was full of innovation when it came to the Tech Sector alone, be it the introduction of the Iphone, or the launch of the big conglomerates such as Facebook and Twitter. The 21st Century gave rise to the concepts of the Curved Displays on phones and the Foldable phones. There were numerous problems which were associated with the flat screen displays, and the shortcomings have been overcome by the Curved Displays and the Foldable phones as discussed in the paper. They have revolutionized the Technological market since their launch. Many Conglomerates such as Samsung, Honor, Xiaomi have invested millions of dollars in availing this new technology. However, currently Samsung has the lead over all its Chinese competitors, and with different companies investing in the new technology, the competition is predicted to become more intense. This will surely give customers a huge variety of phones to choose from. However, this technology did not come without its drawbacks. There were multiple issues associated with the Foldable Phones such as the weight associated with the phone when folded, the tensile strength of the Foldable phones is very low, and the User Interface is not something one could get excited about. Similar issues existed with Curved Displays as well, including costly repair costs, and it is harder to get a grip on compared to the Foldable phones due to the thinning of the edges. The paper discusses in depth the shortcomings of all the types of Phones, as well as which would be the best fit for the user, along with the current trend of the users, and what the Future holds for this segment of Technology.
{"title":"The Advancement of Electronic Gadgets in 21st Century","authors":"Nirav Bhatt, Arjun Vishanth, Divjot Singh, Radha R","doi":"10.4108/ew.4196","DOIUrl":"https://doi.org/10.4108/ew.4196","url":null,"abstract":"The 21st Century was full of innovation when it came to the Tech Sector alone, be it the introduction of the Iphone, or the launch of the big conglomerates such as Facebook and Twitter. The 21st Century gave rise to the concepts of the Curved Displays on phones and the Foldable phones. There were numerous problems which were associated with the flat screen displays, and the shortcomings have been overcome by the Curved Displays and the Foldable phones as discussed in the paper. They have revolutionized the Technological market since their launch. Many Conglomerates such as Samsung, Honor, Xiaomi have invested millions of dollars in availing this new technology. However, currently Samsung has the lead over all its Chinese competitors, and with different companies investing in the new technology, the competition is predicted to become more intense. This will surely give customers a huge variety of phones to choose from. However, this technology did not come without its drawbacks. There were multiple issues associated with the Foldable Phones such as the weight associated with the phone when folded, the tensile strength of the Foldable phones is very low, and the User Interface is not something one could get excited about. Similar issues existed with Curved Displays as well, including costly repair costs, and it is harder to get a grip on compared to the Foldable phones due to the thinning of the edges. The paper discusses in depth the shortcomings of all the types of Phones, as well as which would be the best fit for the user, along with the current trend of the users, and what the Future holds for this segment of Technology.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135570083","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}
B Srikanth Goud, D Krishna, E Hima Bindu, C H Naga Sai Kalyan, Mohit Bajaj, Subhashree Choudhury, Swati Shukla
The effectiveness of power utilized by electronic devices is crucial for various reasons. Firstly, high-quality power results in better efficiency, allowing devices to operate at optimal energy levels. This article aims to clarify the significance of Power Quality by highlighting the benefits of using a Dynamic Voltage Restorer (DVR) to improve power quality for electricity consumers. The proposed method employs a hysteresis voltage control system that operates with variable switching frequency to enhance DVR reliability and ease of operation. Using a Tilt Integral Derivative (TID) controller, a type of fractional order controller similar to the PID controller, voltage compensation under disturbances is achieved with satisfactory results demonstrated via simulation. The primary objective of this project is to mitigate power quality issues such as voltage swell and sag in a distribution power system by enhancing power quality with a TID controller and comparing the results with those obtained from a previously implemented PID controller, using MATLAB software. Keywords: Dynamic Voltage Restorer (DVR), Tilt Integral Derivative controller (TID), Total Harmonic Distortion, MATLAB software.
{"title":"Power Quality Improvement Using TID based DVR Controller","authors":"B Srikanth Goud, D Krishna, E Hima Bindu, C H Naga Sai Kalyan, Mohit Bajaj, Subhashree Choudhury, Swati Shukla","doi":"10.4108/ew.4199","DOIUrl":"https://doi.org/10.4108/ew.4199","url":null,"abstract":"The effectiveness of power utilized by electronic devices is crucial for various reasons. Firstly, high-quality power results in better efficiency, allowing devices to operate at optimal energy levels. This article aims to clarify the significance of Power Quality by highlighting the benefits of using a Dynamic Voltage Restorer (DVR) to improve power quality for electricity consumers. The proposed method employs a hysteresis voltage control system that operates with variable switching frequency to enhance DVR reliability and ease of operation. Using a Tilt Integral Derivative (TID) controller, a type of fractional order controller similar to the PID controller, voltage compensation under disturbances is achieved with satisfactory results demonstrated via simulation. The primary objective of this project is to mitigate power quality issues such as voltage swell and sag in a distribution power system by enhancing power quality with a TID controller and comparing the results with those obtained from a previously implemented PID controller, using MATLAB software. Keywords: Dynamic Voltage Restorer (DVR), Tilt Integral Derivative controller (TID), Total Harmonic Distortion, MATLAB software.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617381","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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