International Journal of Advanced Research in Science, Communication and Technology最新文献_第9页

Online Exam Portal 在线考试门户网站

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18183

Uday Kumar, CH. Rekha, K. Annie Siri, G. Lokesh, A. Keerthan

引用次数: 0

Cyber Threat Intelligence: A Comprehensive Overview and Practical Implementation 网络威胁情报：全面概述与实际应用

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18179

Sushama Pawar, Yogita Khandagale, Archana Gopnarayan, Manisha Pokharkar

引用次数: 0

A Review Paper on Study of Low Cost Housing 廉租房研究回顾文件

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18187

Prof. Vikas Bankar, Darshan S. Burade, Sukanya B. Patil, Sakshi D. Bhokte

引用次数: 0

Grocery Management System 杂货管理系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18190

Dr. P. U. Anitha, K Meghana, K Ramya, K Soujanya, G Vamshika, Ch Suheeth

引用次数: 0

Water Scheduling in Municipalities using RTC 使用 RTC 进行市政用水调度

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18181

Shiva Kumar V, Bhargavi U, Divya Shree, Aparna Angadi, Ambika B

{"title":"Water Scheduling in Municipalities using RTC","authors":"Shiva Kumar V, Bhargavi U, Divya Shree, Aparna Angadi, Ambika B","doi":"10.48175/ijarsct-18181","DOIUrl":"https://doi.org/10.48175/ijarsct-18181","url":null,"abstract":"Water is a precious natural resource that serves various purposes such as drinking and cooking. However, it is often wasted and not efficiently utilized. The conservation of water has become increasingly crucial due to the growing gap between diminishing water supplies caused by inadequate water management and the rising demand from population growth. Consequently, the cost of water is continuously rising. Therefore, it is essential to monitor daily water usage. Moreover, residents living in apartments face the issue of unfair billing, where customers who use minimal water and those who consume the maximum amount are charged the same. To address this problem, a proposed system utilizes RTC (Real-Time Clock) to track water usage accurately. Additionally, the project incorporates a TDS (Total Dissolved Solvents) sensor to measure the level of dissolved solvents in the water. Furthermore, a soil moisture sensor is employed to detect any water leakage by monitoring the moisture level in the soil. If an increase in moisture level is detected, the system sends a text message to registered recipients, alerting them of the potential leakage and helping to minimize water wastage. Another feature of this project is a push button that allows users to view their bill on an LCD display when pressed","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" September","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989888","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

Vehicle Maintenance System using Python 使用 Python 的车辆维护系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18194

D Swarna, R Bhavani, A Akhila, J Sharmila, K Rakesh, D Saisusheel

{"title":"Vehicle Maintenance System using Python","authors":"D Swarna, R Bhavani, A Akhila, J Sharmila, K Rakesh, D Saisusheel","doi":"10.48175/ijarsct-18194","DOIUrl":"https://doi.org/10.48175/ijarsct-18194","url":null,"abstract":"Owners of vehicles can avoid unforeseen car problems by maintaining their vehicles regularly. Early detection of vehicle concerns is crucial to preventing them from developing into serious difficulties. Owners of vehicles frequently inquire about service at auto shops. Vehicle technicians examine crucial parts of the vehicle and fix problems to make sure they are in good condition and won't break down suddenly. The study was carried out by the researchers to evaluate the everyday activities and transactions carried out in auto repair facilities. The researchers gathered preliminary data and discovered that the majority of auto repair companies or garages still handle their daily transactions manually. Customer records are still entered manually, as are transactions with clients, tracking of vehicle repairs as they are made, updates on vehicle services, and billing. The functioning of the garage and the response time to client inquiries will be slowed by the ongoing usage of manual procedures. The researchers have identified a need to modernize how auto repair shops work. Customers and car garages will both profit from the system's installation. Utilizing the technology to run the company will help car garages expand and improve operational efficiency. Customers may do business for car service easily and comfortably","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 511","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989662","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

Gaushala Safety – Automation of Cattle Livestock Gaushala 安全 - 牛畜牧业自动化

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18171

Prof. Indira, Prof. Malatesh Kamatar, Ayesha Lubna, Nikhat Tasmiya

{"title":"Gaushala Safety – Automation of Cattle Livestock","authors":"Prof. Indira, Prof. Malatesh Kamatar, Ayesha Lubna, Nikhat Tasmiya","doi":"10.48175/ijarsct-18171","DOIUrl":"https://doi.org/10.48175/ijarsct-18171","url":null,"abstract":"Automation of Cattle Livestock is a ground-breaking initiative aimed at transforming cattle care and management. In a nation where cattle play a pivotal role in rural economies, the absence of accessible veterinary care, delayed vaccinations, and disease outbreaks pose significant threats to cattle health and the livelihoods of dependent communities. This project offers a comprehensive solution by harnessing cutting-edge technology. It includes a robust cattle information management system, utilizing speech recognition for data input to accommodate diverse user literacy levels..The core feature is an intelligent vaccination scheduler, creating personalized vaccination plans based on individual cattle profiles, and sending timely reminders to owners. Additionally, it employs advanced image processing to detect early signs of disease. The project ensures accessibility through voice-enabled interaction and simplifies the registration of new cattle and along with that it includes the cattle tracker and shed cleaning. By enhancing cattle health, increasing accessibility, and promoting sustainable cattle rearing, Automation of Cattle Livestock seeks to empower farmers, protect livestock, and drive rural community development. This project represents a pioneering step toward a brighter future for both cattle and their caretakers in India.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 850","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989496","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

Crop Yield Prediction using Machine Learning 利用机器学习预测作物产量

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18185

Mr. V. Shanmugam, I. Sriteja, K. Sai Dathu, K. Raju, S. Sai Kumar, G. Karun

{"title":"Crop Yield Prediction using Machine Learning","authors":"Mr. V. Shanmugam, I. Sriteja, K. Sai Dathu, K. Raju, S. Sai Kumar, G. Karun","doi":"10.48175/ijarsct-18185","DOIUrl":"https://doi.org/10.48175/ijarsct-18185","url":null,"abstract":"Weather profoundly impacts agricultural outcomes, making accurate crop prediction vital for farmers' decision-making. This abstract presents a comprehensive overview of weather-based crop prediction, emphasizing its significance, key components, and methodologies. The process begins with the collection and analysis of historical weatherdata encompassing variables such as temperature, precipitation, humidity, and sunlight. Utilizing Python programming and data visualization libraries like Pandas and Matplotlib facilitates the exploration and visualization of this data, revealing trends and patterns. Machine learning algorithms, including regression and ensemble methods, are employedto develop predictive models. These models leverage historical weather data to forecast future crop yields accurately. Python's extensive libraries, such as Scikit-learn and TensorFlow, offer robust tools for model development and evaluation. Incorporating advanced technologies like remote sensing and satellite imagery further refines the prediction process. These tools provide real-time insights into crop health and growth, enhancing the precision of forecasts. Ultimately, weather-based crop prediction serves as a valuable decision support tool for farmers, enabling informed choices regarding planting, irrigation, and harvesting practices. By harnessing historical weather data, machine learning algorithms, and innovative technologies, stakeholders can optimize agricultural productivity, mitigate risks, and contribute to global food security","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988155","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

Automated Coupon Generator for Subsidy (ACG) 补贴券自动生成器 (ACG)

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18195

Misheck Zoferana, Mr. Pempho Jimu

引用次数: 0

Building A Simple Weather Forecast Application using Python Django 使用 Python Django 构建简单的天气预报应用程序

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18186

M. Ramaraju, A Sahithi, Seema Firdhose, S Nivas Tagore, G Aravind, K Shashank

{"title":"Building A Simple Weather Forecast Application using Python Django","authors":"M. Ramaraju, A Sahithi, Seema Firdhose, S Nivas Tagore, G Aravind, K Shashank","doi":"10.48175/ijarsct-18186","DOIUrl":"https://doi.org/10.48175/ijarsct-18186","url":null,"abstract":"Weather forecasting plays a crucial role in various sectors such as agriculture, aviation, transportation, and disaster management. Accurate and timely weather predictions are essential for making informed decisions and mitigating potential risks. This project presents a comparative study of different Application Programming Interfaces (APIs) for weather data retrieval and their effectiveness in weather forecasting. The objective is to evaluate the performance, reliability, and accuracy of various APIs in providing weather information for accurate forecasting. This project presents the development of a sophisticated weather forecasting application using the Python Django framework. In response to the growing demand for accurate and accessible weather information, this application provides users with timely updates on current weather conditions, temperature variations, and detailed forecasts for the upcoming six hours. The application dynamically adapts its interface to reflect hourly changes in weather patterns, ensuring that users receive up-to-date and reliable information at all times. One of the key features of this application is its user-friendly interface, which allows users to conveniently search for weather data anytime and anywhere. Whether planning a trip, scheduling outdoor activities, or simply staying informed about local weather conditions, users can rely on this application to deliver precise and relevant information tailored to their needs. Furthermore, the application enhances user experience by providing comprehensive coverage of global weather data. Users can easily access weather information for any location worldwide, enabling them to plan travel itineraries, explore new destinations, and make informed decisions about their future holiday plans.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 376","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990012","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