Pub Date : 2023-06-01DOI: 10.36548/jtcsst.2023.2.005
R. M. Rani, Anish G, Johith Erthineni, Gouthamsai Gundamx
As traders, investors, and analysts try to decide whether to buy, sell, or hold Apple Inc. shares, Apple Stock Prediction is a crucial component of the financial market. It is difficult to forecast the future value of Apple's stock due to market volatility and a variety of unknown events, including shifts in customer tastes, political unpredictability, and global economic trends. Therefore, it is essential to use a variety of techniques to find the most effective strategy for forecasting Apple's stock price. To ascertain the intrinsic value of a stock, fundamental analysis examines financial statements, market patterns, and economic conditions. This method looks at the sales, profit margins, and cash flow of Apple Inc. as well as its overall financial performance. On the other hand, technical analysis examines past market data, such as price and volume, to spot patterns and trends that can predict future price movements. Charts, graphs, and other visual aids are used in this strategy to pinpoint potential entry and exit positions for trading Apple's stock. Multi-Layer Perceptron is a kind of artificial neural network that mimics the actions of the human brain and has been successfully used to analyze large amounts of complex data. In contrast, XGBoost is a machine learning algorithm that makes predictions using previous data, making it perfect for predicting the future movement of Apple's stock.
{"title":"Apple's Financial Outlook: A Comprehensive Analysis of its Stock Performance","authors":"R. M. Rani, Anish G, Johith Erthineni, Gouthamsai Gundamx","doi":"10.36548/jtcsst.2023.2.005","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.2.005","url":null,"abstract":"As traders, investors, and analysts try to decide whether to buy, sell, or hold Apple Inc. shares, Apple Stock Prediction is a crucial component of the financial market. It is difficult to forecast the future value of Apple's stock due to market volatility and a variety of unknown events, including shifts in customer tastes, political unpredictability, and global economic trends. Therefore, it is essential to use a variety of techniques to find the most effective strategy for forecasting Apple's stock price. To ascertain the intrinsic value of a stock, fundamental analysis examines financial statements, market patterns, and economic conditions. This method looks at the sales, profit margins, and cash flow of Apple Inc. as well as its overall financial performance. On the other hand, technical analysis examines past market data, such as price and volume, to spot patterns and trends that can predict future price movements. Charts, graphs, and other visual aids are used in this strategy to pinpoint potential entry and exit positions for trading Apple's stock. Multi-Layer Perceptron is a kind of artificial neural network that mimics the actions of the human brain and has been successfully used to analyze large amounts of complex data. In contrast, XGBoost is a machine learning algorithm that makes predictions using previous data, making it perfect for predicting the future movement of Apple's stock.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911609","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 : 2023-06-01DOI: 10.36548/jtcsst.2023.2.008
G. Mageshwari, Mohammed Yaqub M, Dhanush Kumar M, Mugundhan S D, Harish M
As health is currently a very prominent concern for many people. More options exist for measuring the health care of people. It is possible to measure the quality of health care in various ways. Taking quality food that has less calories boosts the mind and wellbeing as well as helps us to stay healthy. Regular health checks allow you to detect medical issues at the earliest stage and identify illnesses before they become problematic. Having control in the quantity of daily food consumption helps to avoid unnecessary sickness in the body. In this study, one of the measurement techniques used for measuring the total calories of the daily appetite is described. Measuring food calorie is a way to create awareness among the people about the food they have. These techniques can be used for teaching the public to control their diets according to calories measure.
{"title":"An Energy Measuring System using MobileNetV2 Model","authors":"G. Mageshwari, Mohammed Yaqub M, Dhanush Kumar M, Mugundhan S D, Harish M","doi":"10.36548/jtcsst.2023.2.008","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.2.008","url":null,"abstract":"As health is currently a very prominent concern for many people. More options exist for measuring the health care of people. It is possible to measure the quality of health care in various ways. Taking quality food that has less calories boosts the mind and wellbeing as well as helps us to stay healthy. Regular health checks allow you to detect medical issues at the earliest stage and identify illnesses before they become problematic. Having control in the quantity of daily food consumption helps to avoid unnecessary sickness in the body. In this study, one of the measurement techniques used for measuring the total calories of the daily appetite is described. Measuring food calorie is a way to create awareness among the people about the food they have. These techniques can be used for teaching the public to control their diets according to calories measure.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236370","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 : 2023-06-01DOI: 10.36548/jtcsst.2023.2.002
K. Paul Mathi Priyanka, K. Kumar
Remote patient monitoring has always been a difficult problem in the medical field. Fall detection during monitoring is essential because falls are unexpected behaviors that can seriously affect a person's health, particularly those who are older. Accidental falls have moved to the top of the lists of general health issues in the past few decades. A fall detection system, with the emerging development of the technology, aims to decrease the number of deaths, injuries and the economic burden on the healthcare system. This study presents an in-depth analysis of the latest published research on vision-based detection of falls. It also covers the merits, demerits, and challenges of the previous works of vision-based fall detection, and the future scope of the research is also summarized.
{"title":"A Review on Recent Developments on Detection of Fall","authors":"K. Paul Mathi Priyanka, K. Kumar","doi":"10.36548/jtcsst.2023.2.002","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.2.002","url":null,"abstract":"Remote patient monitoring has always been a difficult problem in the medical field. Fall detection during monitoring is essential because falls are unexpected behaviors that can seriously affect a person's health, particularly those who are older. Accidental falls have moved to the top of the lists of general health issues in the past few decades. A fall detection system, with the emerging development of the technology, aims to decrease the number of deaths, injuries and the economic burden on the healthcare system. This study presents an in-depth analysis of the latest published research on vision-based detection of falls. It also covers the merits, demerits, and challenges of the previous works of vision-based fall detection, and the future scope of the research is also summarized.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160504","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}
Plagiarism refers to using other ideas or works as their own without giving proper acknowledgment. The act of plagiarism is inappropriate and untrue for many reasons, especially in the academic world. Academicians are aware of this and try to avoid the act of plagiarism by any means necessary. In the present context, the digital way of teaching and learning is in practice which has more chance of plagiarized content. This research provides plagiarism detection features due to the lack of such features in digital-based teaching-learning activities. This proposed system handles the document in text format and uses Winnowing Algorithm for fingerprinting the assignment documents, and the hashing technique chosen for this algorithm is the Rolling Hash function. The similarity value is calculated using Jaccard coefficient. The test results show the combinations of parameters (n-gram, window length, and the base prime number) for the successful implementation of the system. The system successfully detects plagiarism on student assignments. The overall system is developed by using Python Web Framework Django and MySQL as a database.
剽窃指的是使用他人的想法或作品，而没有给予适当的承认。剽窃行为是不恰当和不真实的，有很多原因，特别是在学术界。学者们意识到这一点，并试图通过任何必要的手段避免抄袭行为。在当前的背景下，数字化教学方式正在实践中，剽窃内容的可能性更大。针对数字化教学活动中缺乏的剽窃检测功能，本研究提供了剽窃检测功能。该系统以文本格式处理文件，并使用分窗算法对分配文件进行指纹识别，该算法选择的哈希技术是滚动哈希函数。利用雅卡德系数计算相似度值。测试结果显示了系统成功实现的参数组合(n-gram、窗口长度和基本素数)。该系统成功地检测了学生作业中的抄袭行为。整个系统是使用Python Web Framework, Django和MySQL作为数据库进行开发的。
{"title":"Winnowing Algorithm: A Powerful Tool for Identifying Plagiarism in Assignments","authors":"Shiva Shrestha, Sandeep Gautam, Kiran Sharma, Abinay Bhandari","doi":"10.36548/jtcsst.2023.2.006","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.2.006","url":null,"abstract":"Plagiarism refers to using other ideas or works as their own without giving proper acknowledgment. The act of plagiarism is inappropriate and untrue for many reasons, especially in the academic world. Academicians are aware of this and try to avoid the act of plagiarism by any means necessary. In the present context, the digital way of teaching and learning is in practice which has more chance of plagiarized content. This research provides plagiarism detection features due to the lack of such features in digital-based teaching-learning activities. This proposed system handles the document in text format and uses Winnowing Algorithm for fingerprinting the assignment documents, and the hashing technique chosen for this algorithm is the Rolling Hash function. The similarity value is calculated using Jaccard coefficient. The test results show the combinations of parameters (n-gram, window length, and the base prime number) for the successful implementation of the system. The system successfully detects plagiarism on student assignments. The overall system is developed by using Python Web Framework Django and MySQL as a database.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129026331","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 : 2023-04-03DOI: 10.36548/jtcsst.2023.1.003
Bipasha Sarker, Numair Bin Sharif, M. Atikur Rahman, A. S. Shahariar Parvez
The healthcare industry is adopting new technologies such as AI, IoMT, and blockchain to enhance patient outcomes, reduce costs, and improve operational efficiencies. These technologies can revolutionize healthcare by facilitating personalized patient-focused care, improving clinical outcomes, and reducing expenses. However, the implementation of these technologies requires collaboration between healthcare providers, technology companies, and regulatory bodies to ensure patient privacy and data security. This study explores the role of AI, IoMT, and blockchain in public healthcare and their current applications, obstacles, and future research areas. It emphasizes the advantages that these technologies bring to the IoT and the difficulties involved in their implementation.
{"title":"AI, IoMT and Blockchain in Healthcare","authors":"Bipasha Sarker, Numair Bin Sharif, M. Atikur Rahman, A. S. Shahariar Parvez","doi":"10.36548/jtcsst.2023.1.003","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.003","url":null,"abstract":"The healthcare industry is adopting new technologies such as AI, IoMT, and blockchain to enhance patient outcomes, reduce costs, and improve operational efficiencies. These technologies can revolutionize healthcare by facilitating personalized patient-focused care, improving clinical outcomes, and reducing expenses. However, the implementation of these technologies requires collaboration between healthcare providers, technology companies, and regulatory bodies to ensure patient privacy and data security. This study explores the role of AI, IoMT, and blockchain in public healthcare and their current applications, obstacles, and future research areas. It emphasizes the advantages that these technologies bring to the IoT and the difficulties involved in their implementation.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583277","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 : 2023-03-17DOI: 10.36548/jtcsst.2023.1.002
S. K, Bhavadharinie S, A. R, Kripaa H, S. V.
Library Management System is the finest tool for automating libraries in India. Data migration from such proprietary applications is difficult. In the majority of the current libraries, the tabular bibliographic data is exported to spreadsheet forms like CSV and XLSX. It is necessary to transform bibliographic information from spreadsheet format to the industry-standard MARC 21 format. MARC tags are applied to bibliographic information in spreadsheets using MARC Edit software. The .xlsx file is converted to .txt (tab delimited) which is then converted to .mrk format. Next, the .mrk file is changed to .mrc file. Processes for data mapping are necessary prior to this move. Later, the .mrc file must be loaded into a MySQL-compatible open source database. To achieve that, the migrated material needs to be properly validated. Therefore, it is crucial to use accurate data mapping when converting data from XLSX format to MARC 21 format. Following the importation into a database, users can obtain data for cataloguing and visualisation for easy understanding. Projects using open-source software are fundamentally about cooperation and transparency, and many eminent Indian institutions have switched to these open source platforms.
{"title":"Designing and Migration of Library Database","authors":"S. K, Bhavadharinie S, A. R, Kripaa H, S. V.","doi":"10.36548/jtcsst.2023.1.002","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.002","url":null,"abstract":"Library Management System is the finest tool for automating libraries in India. Data migration from such proprietary applications is difficult. In the majority of the current libraries, the tabular bibliographic data is exported to spreadsheet forms like CSV and XLSX. It is necessary to transform bibliographic information from spreadsheet format to the industry-standard MARC 21 format. MARC tags are applied to bibliographic information in spreadsheets using MARC Edit software. The .xlsx file is converted to .txt (tab delimited) which is then converted to .mrk format. Next, the .mrk file is changed to .mrc file. Processes for data mapping are necessary prior to this move. Later, the .mrc file must be loaded into a MySQL-compatible open source database. To achieve that, the migrated material needs to be properly validated. Therefore, it is crucial to use accurate data mapping when converting data from XLSX format to MARC 21 format. Following the importation into a database, users can obtain data for cataloguing and visualisation for easy understanding. Projects using open-source software are fundamentally about cooperation and transparency, and many eminent Indian institutions have switched to these open source platforms.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116110694","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 : 2023-03-01DOI: 10.36548/jtcsst.2023.1.004
T. S, Gayathri C, V. M
Thirukkural, one of the prominent Tamil Literatures, written 2000 years ago, has great importance till date as it emphasizes everyday virtues of the individuals. As per Tamil Literature, it belongs to the class of ‘Kural Venba’ which is a subdivision of ‘Venba’ and is regarded as one of the poetic styles of Tamil Language. This research primarily aims on the validation of entered Thirukkural by checking the syntactical correctness of ‘Kural Venba’. It uses ‘Transliteration’ methodology to convert the user given thirukkural into an intermediate form. Then, it processes the intermediate form to segregate the words (seer and thalai) into different asai as per the Yaapilakkanam known as Alagiduthal, compares it with the pre-defined norms of ‘Kural venba’ and produces the result. At any point of time, if the user input doesn’t qualify a criterion, the program outputs a warning accordingly and gets terminated.
{"title":"Thirukkural Alagiduthal and Kural Venba Validation using Python","authors":"T. S, Gayathri C, V. M","doi":"10.36548/jtcsst.2023.1.004","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.004","url":null,"abstract":"Thirukkural, one of the prominent Tamil Literatures, written 2000 years ago, has great importance till date as it emphasizes everyday virtues of the individuals. As per Tamil Literature, it belongs to the class of ‘Kural Venba’ which is a subdivision of ‘Venba’ and is regarded as one of the poetic styles of Tamil Language. This research primarily aims on the validation of entered Thirukkural by checking the syntactical correctness of ‘Kural Venba’. It uses ‘Transliteration’ methodology to convert the user given thirukkural into an intermediate form. Then, it processes the intermediate form to segregate the words (seer and thalai) into different asai as per the Yaapilakkanam known as Alagiduthal, compares it with the pre-defined norms of ‘Kural venba’ and produces the result. At any point of time, if the user input doesn’t qualify a criterion, the program outputs a warning accordingly and gets terminated.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132205882","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}
This research aims to develop a decentralized application (Dapp) for food supply chain traceability using blockchain technology. The Dapp enables consumers to track the journey of their food from the farm to their table, providing transparency and accountability to the supply chain. The Dapp is built on a blockchain platform using smart contracts to record and verify transactions between various stakeholders in the supply chain, including farmers, distributors, retailers, and consumers. Each stakeholder will have a unique identifier on the blockchain, and all transactions will be recorded in a tamper-proof and immutable manner. This work will contribute to the development of a more sustainable and trustworthy food supply chain, promoting ethical and environmentally friendly production practices. The Dapp will also provide opportunities for small-scale farmers and local producers to access larger markets and improve their profitability. Overall, this Dapp will help to create a more efficient, transparent, and accountable supply chain, benefiting all stakeholders, including suppliers, manufacturers, distributors, retailers, and consumers.
{"title":"DEAGRICHAIN Blockchain-based solution for agriculture","authors":"Sachine Pateil, Omkar Ashok Kumbhar, Sanchita Kuldeep Jedhe, Payal Shahadeo Palve, Shubham Mahavir Mali","doi":"10.36548/jtcsst.2023.1.005","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.005","url":null,"abstract":"This research aims to develop a decentralized application (Dapp) for food supply chain traceability using blockchain technology. The Dapp enables consumers to track the journey of their food from the farm to their table, providing transparency and accountability to the supply chain. The Dapp is built on a blockchain platform using smart contracts to record and verify transactions between various stakeholders in the supply chain, including farmers, distributors, retailers, and consumers. Each stakeholder will have a unique identifier on the blockchain, and all transactions will be recorded in a tamper-proof and immutable manner. This work will contribute to the development of a more sustainable and trustworthy food supply chain, promoting ethical and environmentally friendly production practices. The Dapp will also provide opportunities for small-scale farmers and local producers to access larger markets and improve their profitability. Overall, this Dapp will help to create a more efficient, transparent, and accountable supply chain, benefiting all stakeholders, including suppliers, manufacturers, distributors, retailers, and consumers.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699306","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 : 2023-03-01DOI: 10.36548/jtcsst.2023.1.007
V. Thiruburasundari, G. Ramya, N. Ramadevi, Pameela M
Power quality issues are becoming increasingly important due to the rapid changes in energy network infrastructure caused by technological advancements in distributed generation. Distributed generation involves the use of small-scale, decentralized power sources that can be located close to the end-users, and can include solar panels, wind turbines, and fuel cells. While distributed generation can help to reduce greenhouse gas emissions and increase energy efficiency, it can also create new challenges for the power grid, particularly in terms of power quality. To address these power quality issues, numerous solutions are available at present. One approach is to use advanced control systems that can monitor and manage the voltage and frequency of the power grid in real-time. This can involve using smart inverters that can adjust the power output of distributed generation sources to maintain a stable voltage supply. Other solutions involve the use of energy storage systems, such as batteries or flywheels, which can help to smooth out fluctuations in power output from distributed generation sources. Another approach is to improve the design and operation of the power grid itself. This can involve the use of new transmission and distribution techniques, such as the deployment of microgrids or the integration of energy storage systems into the power grid. Additionally, advances in power electronics and communication technologies can be used to improve the reliability and the efficiency of the power grid.
{"title":"Power Quality Concerns due to Power System Improvements with Renewable Energy Sources and its Remedies","authors":"V. Thiruburasundari, G. Ramya, N. Ramadevi, Pameela M","doi":"10.36548/jtcsst.2023.1.007","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.007","url":null,"abstract":"Power quality issues are becoming increasingly important due to the rapid changes in energy network infrastructure caused by technological advancements in distributed generation. Distributed generation involves the use of small-scale, decentralized power sources that can be located close to the end-users, and can include solar panels, wind turbines, and fuel cells. While distributed generation can help to reduce greenhouse gas emissions and increase energy efficiency, it can also create new challenges for the power grid, particularly in terms of power quality. To address these power quality issues, numerous solutions are available at present. One approach is to use advanced control systems that can monitor and manage the voltage and frequency of the power grid in real-time. This can involve using smart inverters that can adjust the power output of distributed generation sources to maintain a stable voltage supply. Other solutions involve the use of energy storage systems, such as batteries or flywheels, which can help to smooth out fluctuations in power output from distributed generation sources. Another approach is to improve the design and operation of the power grid itself. This can involve the use of new transmission and distribution techniques, such as the deployment of microgrids or the integration of energy storage systems into the power grid. Additionally, advances in power electronics and communication technologies can be used to improve the reliability and the efficiency of the power grid.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"201 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133878119","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 : 2023-03-01DOI: 10.36548/jtcsst.2023.1.006
Gnanamurugan S, Badmapriya S, Boomikadevi S, Kiruthiga M, Mathumitha M
The surveyed reports state that about 10% of car accidents in the hilly areas happen on curved roads. It is risky to drive through curves and bends. Therefore, this work suggests a hairpin bend road collision prevention system using Internet of Things (IoT). The proposed design employing IoT strives to prevent the collisions by initiating warning alarms on detecting vehicles on the either side of the hairpin bend. The detection of the vehicles in the either side is performed using an ultrasonic sensor.
{"title":"Machine Learning-based Intelligent Smart Warning System in Twisty Swerve in Hill Station using IoT","authors":"Gnanamurugan S, Badmapriya S, Boomikadevi S, Kiruthiga M, Mathumitha M","doi":"10.36548/jtcsst.2023.1.006","DOIUrl":"https://doi.org/10.36548/jtcsst.2023.1.006","url":null,"abstract":"The surveyed reports state that about 10% of car accidents in the hilly areas happen on curved roads. It is risky to drive through curves and bends. Therefore, this work suggests a hairpin bend road collision prevention system using Internet of Things (IoT). The proposed design employing IoT strives to prevent the collisions by initiating warning alarms on detecting vehicles on the either side of the hairpin bend. The detection of the vehicles in the either side is performed using an ultrasonic sensor.","PeriodicalId":107574,"journal":{"name":"Journal of Trends in Computer Science and Smart Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582109","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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