International Journal of Advanced Research in Science, Communication and Technology最新文献

{"title":"NavigateU: Beyond Boundaries: Empowering Accessibility Everywhere","authors":"Prof. Rahul Bembade, Sharayu Waghapure, Sanket Thange, Pratik Sarkate, Abhishek Budihale","doi":"10.48175/ijarsct-18243","DOIUrl":"https://doi.org/10.48175/ijarsct-18243","url":null,"abstract":"In an era characterized by technological advancements that have reshaped how we access information and services, a notable gap persists in ensuring this convenience extends to differently-abled individuals. The project at hand endeavours to bridge this divide by introducing a comprehensive web-based solution and mobile application, designed to empower businesses and organizations in providing crucial details about their accessibility features. Through this initiative, the aim is to enable disabled individuals to make informed decisions, thereby fostering inclusivity in society. At its core, the project seeks to offer a unified platform where businesses and property owners can showcase their accessibility features, ranging from ramps and handrails to Braille signage and accessible toilets. By collating and presenting this information on a user-friendly map-based interface reminiscent of platforms like Google Maps, the project aims to facilitate easy navigation for disabled individuals. This innovative solution will not only store data about accessible buildings and public places but also serve as a declaration platform for property owners to showcase their commitment to accessibility. By providing multimedia content alongside textual information, users will gain a comprehensive understanding of the accessibility features available at each location. Furthermore, the mobile application component of the project will offer voice-guided navigation, enhancing the independence and confidence of disabled users as they navigate through different spaces. Emphasizing security and privacy, the central server will prioritize safeguarding sensitive data, thus fostering a safe and inclusive digital environment. In summary, this project holds immense potential to positively impact the lives of disabled individuals by dismantling barriers to accessibility and fostering a more equitable and inclusive world. Through the seamless integration of technology and accessibility, it endeavours to create a society where everyone can participate fully and equally","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"28 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140979371","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}

{"title":"Mouth Dissolving Tablet Review","authors":"Shraddha Kadam, Sneha Pawar, Sejal Shelke, Nutan Yewale, Prof. Shital Gaikwad","doi":"10.48175/ijarsct-18242","DOIUrl":"https://doi.org/10.48175/ijarsct-18242","url":null,"abstract":"Mouth dissolving tablet are solid dosage form containing drugs disintegrate in oral cavity with in less than one minute. Mouth dissolving tablet are conventional dosage form like tablet .mouth dissolving tablet are developed of good hardness, dose uniformity and easy administration .the serve as first choice of dosage form for pediatrics, geriatrics and travelling patient. MDTs aim are sufficient hardness, integrity and faster disintegration without water. Mouth dissolving tablet are the including content significant, advantages, disadvantages, ideal properties formulation of mouth dissolving tablet, evaluation parameter and selection of super disintegrating agents. Tablet are readily dissolve in saliva within 60 sec","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"104 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978167","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}

{"title":"Smart Precision Agriculture using IoT Simulation","authors":"Gaurav Bawankule, Priyanshu Urwate, Karan Chavan, Fatima Inamdar, Sachin Deshpande","doi":"10.48175/ijarsct-18246","DOIUrl":"https://doi.org/10.48175/ijarsct-18246","url":null,"abstract":"With the advent of Internet of Things (IoT) technologies, precision agriculture has emergedas a promising solution to address the challenges of traditional farming practices. This research paper presents a thorough investigation into the implementation of smart precision agriculture using IoT simulation on Tinkercad. The study encompasses the integration of various sensors including temperature, soil moisture, NPK (Nitrogen, Phosphorus, Potassium) values, and humidity sensors within a simulated agricultural environment.\u0000The paper elaborates on the design and setup of the IoT simulation, detailing the selection and deployment of sensors. Furthermore, it provides insights into the calibration process of sensors to ensure accurate and reliable data acquisition.\u0000A significant aspect of this research is the generation and analysis of a comprehensive dataset spanninga month, capturing crucial parameters such as temperature variations, soil moisture levels, nutrient content, and humidity fluctuations. The dataset serves as a valuable resource for evaluating the performance of the smart precision agriculture system and for deriving actionable insights for optimized crop management.\u0000Through this study, the efficacy of IoT simulation on Tinkercad as a tool for modeling and simulating agricultural environments is demonstrated. The findings contribute to the growing body of research aimed at harnessing IoT technologies for sustainable and efficient farming practices. Moreover, the research underscores the potential of smart precision agriculture in enhancing crop productivity, conserving resources, and mitigating environmental impact","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"53 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978872","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}

{"title":"Text and Image Encryption using ECC","authors":"Kaviarasu C, Kishore G, Nithish P, Dr G A Sathish Kumar","doi":"10.48175/ijarsct-18233","DOIUrl":"https://doi.org/10.48175/ijarsct-18233","url":null,"abstract":"This project combines Elliptic Curve Cryptography (ECC) with Random Matrix Cryptography (RMC) for image encryption and ECC with the Lorenz algorithm to provide a comprehensive solution to data security. Chaotic equation for text encryption. While ECC-Lorenz uses chaotic dynamics for text encryption, ECC-RMC uses matrix operations to strengthen image encryption. The efficacy of both strategies in safeguarding the confidentiality and integrity of transmitted data is demonstrated through experimental validation, which therefore improves network communication security. A multi-layered encryption architecture is established by the integration of ECC-RMC and ECC-Lorenz, providing a strong defense against cyber attacks and unlawful access. This new encryption paradigm promises improved resilience in digital information transfer, marking a significant leap in data security measures. The suggested method gives a flexible way to combine computational complexity and mathematical rigor","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"66 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140983505","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}

{"title":"Cyber Security Portal for Effective Management of Servers and Firewalls","authors":"Ms. Smitha K S, Ms.Thanushree M N, Ms. Sneha Latha Naidu R, Ms.Teju L, Prof.Aravinda Thejas Chandra","doi":"10.48175/ijarsct-18214","DOIUrl":"https://doi.org/10.48175/ijarsct-18214","url":null,"abstract":"The project is an innovative endeavour that tackles the difficulties associated with overseeing heterogeneous servers inside the digital ecosystem. It suggests the creation of a single, centralized interface for the real-time monitoring and management of firewall configurations, security, and server health on diverse platforms. With an all-inclusive platform, administrators may take proactive measures against new threats by integrating firewall settings seamlessly, detecting security risks, streamlining server management, and providing administrators with actionable intelligence.Beyond traditional server management, the proposed system offers a centralized hub for effective, safe, and straightforward administrative server management in multi-server environments. It increases the overall effectiveness of server administration by reducing difficulties with server management and establishing the groundwork for a strong and resilient digital infrastructure that can adjust to changing cyber security threats","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"121 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985344","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}

{"title":"Cybersecurity Collaboration: Building Trust and Resilience through Information Sharing","authors":"Mr. Mohamed Bahar, Dr. Mohammad Muqeem, Dr. Omkar Pattnaik","doi":"10.48175/ijarsct-18229","DOIUrl":"https://doi.org/10.48175/ijarsct-18229","url":null,"abstract":"This paper focuses on the pivotal role of information sharing practices for capacity building competences in the field of cybersecurity. It analysis the necessities and limitations of information sharing, aiming to boost a secure and resilient cyberspace that installs trust. The paper identifies the different types of information that can be shared and outlines the channels that support this exchange. By proposing five applications of information sharing in cybersecurity, it focusses on education and warning in order to enforce people competencies. High-level recommendations are proposed in conclusion for the establishment of a platform for information sharing and analysis","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"121 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985479","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}

{"title":"Predictive Maintenance in Bridge Infrastructure","authors":"Mirriam Bango, Mr Mtende Mkandawire","doi":"10.48175/ijarsct-18235","DOIUrl":"https://doi.org/10.48175/ijarsct-18235","url":null,"abstract":"Predictive maintenance, driven by artificial intelligence and data analytics, represents a transformative approach to infrastructure management. By continuously monitoring asset conditions through sensors (Vibration, Temperature, crack, moisture and corrosion, 3D vision sensor and Ultrasonic & sonic) and advanced algorithms, predictive maintenance can forecast maintenance needs before infrastructure failures occur, leading to efficient scheduling, reduced costs, minimized downtime, and improved safety. Beyond cost savings, this approach enhances sustainability by optimizing resource usage, extending asset service life, and reducing environmental impact. Real-world applications in road infrastructure and the power sector demonstrate its potential to ensure reliability, prevent accidents, and meet the growing demands placed on critical infrastructure. Embracing predictive maintenance technologies is essential for addressing 21st-century infrastructure challenges effectively and safeguarding the well-being of communities","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"18 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140984156","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}

{"title":"Crop Yield Prediction using CNN","authors":"Ritik Bohra, Shrunkhal More, Shwetal Kamat, Rishabh Pathak, Prof. Manisha Shitole","doi":"10.48175/ijarsct-18234","DOIUrl":"https://doi.org/10.48175/ijarsct-18234","url":null,"abstract":"Deep learning is a branch of Machine Learning which is completely based on artificial neural networks, as neural networks are going to mimic the human brain so deep learning is also a kind of mimic of the human brain. Farming is the main occupation of India. Crop yield has a direct impact on nation and international economies annually and the yield predicted plays a significant part in the food management and agriculture sector. The task is to build a prediction model for crop production . A prerequisite of intelligent systems has brought artificial neural networks to become a new technology which provides assorted solutions for complex problems in agriculture research. Performance of the agriculture sector mainly hinges on natural forces such as spatio-temporal distribution of rainfall, temperature, climate etc, with the result any deviation of monsoon from the normal pattern brings about numerous fluctuations in area and production. Crop yield has a direct impact on nation and international economies annually and the yield predicted plays a significant part in the food management and agriculture sector. The task is to build a prediction model for crop production. The basic principle of ANN architecture, Data Modeling for Prediction involves four stages namely historical data analysis (Descriptive), Data preprocessing, modeling of Data and Performance Estimation. First classify data based on different attributes. Regression analysis using CNN, it observes the relation between an independent (predictor) and dependent (target) variables. Based on relation training the model will predict crop yield production. application of ANN in predicting crop yield by using various crop performance features as input parameter","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"123 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985436","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}

{"title":"Unleashing the Power of Django for Construction Materials Rental","authors":"Dr. R. Prem Sudha, Mukilan.T, Anitha.A, Deepak.B, Logesh Balaji.K, Dr. R. Vigneh","doi":"10.48175/ijarsct-18217","DOIUrl":"https://doi.org/10.48175/ijarsct-18217","url":null,"abstract":"In the realm of construction equipment rental, efficient management of resources and seamless access to construction materials are paramount for project success. This paper explores the utilization of Django, a high-level Python web framework, to revolutionize the construction equipment rental industry. By harnessing the power of Django, this study proposes a comprehensive platform that streamlines the process of renting construction equipment and accessing necessary materials. The platform integrates features such as user-friendly interfaces, robust inventory management systems, real-time tracking, and secure payment gateways to enhance user experience and optimize operational efficiency. Through a combination of Django's flexibility, scalability, and rich ecosystem of plugins, this solution aims to address the challenges faced by construction companies in managing equipment rentals and material procurement. Furthermore, the paper discusses the technical implementation of Django within the context of construction equipment rental, highlighting its potential to transform traditional workflows and propel the industry towards digital innovation. This study specify the adoption of Django in construction equipment rental has the potential to unleash a new era of efficiency, transparency, and productivity, thereby driving the industry towards greater success and competitiveness in the modern era","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"59 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140983451","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}

{"title":"Experimental Study on Automated Controller of Street Light Management System using IoT","authors":"Kalaimathi D, Mohan N, Jayavel M, Nakeswaran S, Sivaganaeshkumar C, Thirumeniraj","doi":"10.48175/ijarsct-18216","DOIUrl":"https://doi.org/10.48175/ijarsct-18216","url":null,"abstract":"In order to ensure public safety and support nighttime activities, street lighting is crucial to the urban landscape, and this study starts by contextualizing its importance. It then goes on to analyze the shortcomings of the current street lighting systems, which are typified by their static control methods and poor environmental response.These shortcomings underscore the urgent need for a paradigm shift towards more intelligent and adaptive solutions. The core proposition of this project lies in the design and implementation of an advanced street light management system empowered by IoT technology. At its heart, the system comprises a sophisticated network of interconnected devices, including sensors, actuators, and a central control unit. These components collaborate synergistically to capture, analyze, and act upon real-time data gleaned from the surrounding environment. Through the application of cutting-edge data analytics and machine learning algorithms, the system autonomously adjusts lighting levels in accordance with fluctuating parameters such as ambient light levels, traffic density, weather conditions, and pedestrian activity. By dynamically optimizing energy usage while ensuring adequate illumination, the system not only enhances operational efficiency but also contributes to cost reduction and environmental sustainability. Moreover, the proposed system incorporates proactive maintenance features, enabling early fault detection and remote diagnostics. This capability minimizes downtime and enhances system reliability, thereby mitigating the operational challenges associated with traditional street lighting infrastructure. The project further explores the conceptual framework of IoT, elucidating its transformative potential in revolutionizing urban infrastructure management. By seamlessly integrating physical devices with digital intelligence, IoT facilitates the creation of interconnected ecosystems wherein data-driven decision-making and automation converge to drive unprecedented efficiency and innovation","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"117 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985736","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}