Journal of Trends in Computer Science and Smart Technology最新文献_第2页

Apple's Financial Outlook: A Comprehensive Analysis of its Stock Performance 苹果公司的财务展望:对其股票表现的全面分析

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-06-01 DOI: 10.36548/jtcsst.2023.2.005

R. M. Rani, Anish G, Johith Erthineni, Gouthamsai Gundamx

{"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}

引用次数: 0

An Energy Measuring System using MobileNetV2 Model 基于MobileNetV2模型的能量测量系统

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-06-01 DOI: 10.36548/jtcsst.2023.2.008

G. Mageshwari, Mohammed Yaqub M, Dhanush Kumar M, Mugundhan S D, Harish M

引用次数: 0

A Review on Recent Developments on Detection of Fall 跌倒检测技术研究进展综述

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-06-01 DOI: 10.36548/jtcsst.2023.2.002

K. Paul Mathi Priyanka, K. Kumar

引用次数: 0

Winnowing Algorithm: A Powerful Tool for Identifying Plagiarism in Assignments 筛选算法:一个识别作业抄袭的强大工具

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-06-01 DOI: 10.36548/jtcsst.2023.2.006

Shiva Shrestha, Sandeep Gautam, Kiran Sharma, Abinay Bhandari

{"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}

引用次数: 1

AI, IoMT and Blockchain in Healthcare 医疗领域的人工智能、物联网和区块链

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-04-03 DOI: 10.36548/jtcsst.2023.1.003

Bipasha Sarker, Numair Bin Sharif, M. Atikur Rahman, A. S. Shahariar Parvez

引用次数: 3

Designing and Migration of Library Database 图书馆数据库的设计与迁移

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-03-17 DOI: 10.36548/jtcsst.2023.1.002

S. K, Bhavadharinie S, A. R, Kripaa H, S. V.

{"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}

引用次数: 0

Thirukkural Alagiduthal and Kural Venba Validation using Python 使用Python的Thirukkural Alagiduthal和Kural Venba验证

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-03-01 DOI: 10.36548/jtcsst.2023.1.004

T. S, Gayathri C, V. M

引用次数: 0

DEAGRICHAIN Blockchain-based solution for agriculture DEAGRICHAIN基于区块链的农业解决方案

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-03-01 DOI: 10.36548/jtcsst.2023.1.005

Sachine Pateil, Omkar Ashok Kumbhar, Sanchita Kuldeep Jedhe, Payal Shahadeo Palve, Shubham Mahavir Mali

{"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}

引用次数: 0

Power Quality Concerns due to Power System Improvements with Renewable Energy Sources and its Remedies 利用可再生能源改进电力系统所引起的电能质量问题及其补救措施

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-03-01 DOI: 10.36548/jtcsst.2023.1.007

V. Thiruburasundari, G. Ramya, N. Ramadevi, Pameela M

{"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}

引用次数: 0

Machine Learning-based Intelligent Smart Warning System in Twisty Swerve in Hill Station using IoT 基于物联网的山站弯道智能预警系统

Journal of Trends in Computer Science and Smart Technology Pub Date : 2023-03-01 DOI: 10.36548/jtcsst.2023.1.006

Gnanamurugan S, Badmapriya S, Boomikadevi S, Kiruthiga M, Mathumitha M

引用次数: 0