Daily Archives: June 14, 2025

Authors: Associate Professor Dr.K.Prem Kumar,, Dhareddy Rohith Reddy, Varkuti Nitish Reddy, Gummadi Manideep Reddy, Vadla Aakash

 

 

Abstract: Secure Haven – Enhancing Gated Community Management with IoT is an innovative initiative that utilizes advanced Internet of Things (IoT) technologies to improve the overall management and functionality of modern gated communities. By integrating a variety of IoT devices, including sensors and controllers, the system enables real- time monitoring and control of key community operations. This leads to greater efficiency, convenience, and safety for residents. These devices gather critical data related to energy consumption, environmental conditions, occupancy, and security. The collected data is processed using sophisticated algorithms and machine learning techniques to optimize community performance and decision-making. The project focuses on four main areas: energy management, environmental control, security and access control, and predictive maintenance. Energy efficiency is achieved through smart meters and intelligent lighting systems that help reduce energy waste and cut costs. The incorporation of renewable energy sources also supports sustainability. Environmental comfort is maintained using DHT11 sensors that monitor temperature and humidity, ensuring ideal indoor conditions. For security, RFID-based access systems are employed to allow secure and automated entry into the premises, while smart surveillance and real- time alert mechanisms provide an added layer of protection. Predictive maintenance is enabled by IoT-based monitoring systems, such as water level sensors, which facilitate continuous tracking of equipment performance and help.prevent failures through early detection.Overall, Secure Haven offers a smart, secure, and sustainable solution for managing gated communities by leveraging the power of IoT to create a more connected and responsive living environment.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Associate Professor Dr.K.Prem Kumar,, Dhareddy Rohith Reddy, Varkuti Nitish Reddy, Gummadi Manideep Reddy, Vadla Aakash

 

 

Abstract: Secure Haven – Enhancing Gated Community Management with IoT is an innovative initiative that utilizes advanced Internet of Things (IoT) technologies to improve the overall management and functionality of modern gated communities. By integrating a variety of IoT devices, including sensors and controllers, the system enables real- time monitoring and control of key community operations. This leads to greater efficiency, convenience, and safety for residents. These devices gather critical data related to energy consumption, environmental conditions, occupancy, and security. The collected data is processed using sophisticated algorithms and machine learning techniques to optimize community performance and decision-making. The project focuses on four main areas: energy management, environmental control, security and access control, and predictive maintenance. Energy efficiency is achieved through smart meters and intelligent lighting systems that help reduce energy waste and cut costs. The incorporation of renewable energy sources also supports sustainability. Environmental comfort is maintained using DHT11 sensors that monitor temperature and humidity, ensuring ideal indoor conditions. For security, RFID-based access systems are employed to allow secure and automated entry into the premises, while smart surveillance and real- time alert mechanisms provide an added layer of protection. Predictive maintenance is enabled by IoT-based monitoring systems, such as water level sensors, which facilitate continuous tracking of equipment performance and help.prevent failures through early detection.Overall, Secure Haven offers a smart, secure, and sustainable solution for managing gated communities by leveraging the power of IoT to create a more connected and responsive living environment

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Prof. Dr.Poornima Tyagi, Aditansh Rai, Khushi Gupta, Sohaib Ahmad, Anurag Paliwal

 

 

Abstract:The world of Internet is growing rapidly, many applications that previously created on the desktop start moving to the web. Many applications could be accessed anytime and anywhere easily using Internet. Developers need tools to create their applications, one of them named code editor. The purpose of this research is to design and develop a real-time code editor application using web socket technology to help users collaborate while working on the project. This application provides a feature where users can collaborate on a project in real-time. The authors using analysis methodology which conducting on a study of the current code editor applications, distributing questionnaires and conducting on literature study. Collabrix is a web application that provides workspace to writing, perform, display the results of the code through the terminal, and collaborate with other users in real- time. The application main features are providing workspace to make, execute and build the source code, real-time collaboration, chat, and build the terminal. This application supports C, C++, and python programming languages.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Anutosh Bajpai, Professor (Dr.) V.K. Paull

Abstract: Fire safety in auditoriums is a critical concern due to the high occupancy and unique spatial configurations that can hinder efficient evacuation during emergencies. This dissertation, titled Evacuation Strategies in Case of Fire in Auditoriums, aims to address the gap in understanding fire behavior and evacuation performance by integrating advanced simulation tools, PyroSim and Pathfinder, to analyze and improve evacuation strategies. A case study of an auditorium in New Delhi was conducted, focusing on four fire scenarios (circulation area, seating area, wall, and stage) under two material conditions: existing materials and code-compliant materials. The study revealed that existing materials, such as polyester curtains, untreated foam seating, and nylon carpets, significantly contribute to fire spread, smoke generation, and reduced visibility, thereby increasing evacuation times. Code-compliant materials, including fire-treated fabrics, non-combustible paneling, and fire-resistant carpets, demonstrated substantial improvements, reducing evacuation times by up to 30% and delaying smoke visibility loss by over 100 seconds in most scenarios. The stage area emerged as the most critical zone due to its highly flammable materials, requiring urgent intervention through material upgrades and enhanced suppression systems. The research highlights the importance of material selection, compliance with fire safety codes, and simulation-driven design improvements in mitigating fire risks. While limitations such as reliance on hypothetical data and the exclusion of behavioral factors were acknowledged, the findings provide actionable recommendations for policy reforms, material upgrades, and egress design enhancements. This study contributes to the evolving discourse on fire safety, emphasizing the need for a comprehensive, proactive approach to ensure occupant protection in public assembly spaces.

DOI: https://doi.org/10.5281/zenodo.15682340

Published by: vikaspatanker

Authors: Dr.K.Prem Kumar, Dhareddy Rohith Reddy, Varkuti Nitish Reddy, Gummadi Manideep Reddy, Vadla Aakash

 

 

Abstract: Secure Haven – Enhancing Gated Community Management with IoT is an innovative initiative that utilizes advanced Internet of Things (IoT) technologies to improve the overall management and functionality of modern gated communities. By integrating a variety of IoT devices, including sensors and controllers, the system enables real- time monitoring and control of key community operations. This leads to greater efficiency, convenience, and safety for residents. These devices gather critical data related to energy consumption, environmental conditions, occupancy, and security. The collected data is processed using sophisticated algorithms and machine learning techniques to optimize community performance and decision-making. The project focuses on four main areas: energy management, environmental control, security and access control, and predictive maintenance. Energy efficiency is achieved through smart meters and intelligent lighting systems that help reduce energy waste and cut costs. The incorporation of renewable energy sources also supports sustainability. Environmental comfort is maintained using DHT11 sensors that monitor temperature and humidity, ensuring ideal indoor conditions. For security, RFID-based access systems are employed to allow secure and automated entry into the premises, while smart surveillance and real- time alert mechanisms provide an added layer of protection. Predictive maintenance is enabled by IoT-based monitoring systems, such as water level sensors, which facilitate continuous tracking of equipment performance and help prevent failures through early detection.Overall, Secure Haven offers a smart, secure, and sustainable solution for managing gated communities by leveraging the power of IoT to create a more connected and responsive living environment.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Dr. V.K. Srivastava, Ms. Aarti

 

 

Abstract: Generative AI is a huge step forward in technology that allows computers produce text, visuals, sounds, and even complex designs. This technology comes up with new ideas in a lot of different fields by using cutting-edge models like Generative Adversarial Networks (GANs), Large Language Models (LLMs), and diffusion models. This article discusses about how generative AI apps have changed over time and how they might be useful in the arts, business, healthcare, education, and engineering. The study found that generative AI makes creative work easier, speeds up the design process, personalises learning, and improves diagnoses. But generative AI also raises moral challenges, privacy concerns, biases, and areas of the law that aren't clear. The paper talks about these issues and how to fix them, highlighting how important it is for people from different professions to work together to build AI systems that are strong, fair, and open. It also talks about how to make generative AI more aware, adaptable, and accurate. The study highlights how crucial it is to put laws and morals in place so that as many people as possible can utilise AI in a responsible way. Some of the goals for the future are to make AI easier to use, rules easier to obey, and to promote innovation that is culturally and socially diverse. Generative AI can solve these difficulties and help firms in a lot of different industries be more creative, productive, and inventive.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Assistant professor Benasir Begam.F, Agalya.A

Abstract: Machine learning (ML) is transforming material science by shifting the traditional empirical and simulation-driven approaches to a data-centric paradigm. This review presents an integrated overview of how ML methods are applied in microstructure recognition, material property prediction, and alloy design. We discuss key learning paradigms such as supervised, unsupervised, and deep learning, with emphasis on convolutional neural networks (CNNs), autoencoders, and generative models. Representative studies are cited to illustrate applications in predictive modeling and image-based analysis. We highlight challenges related to data scarcity, model interpretability, and integration of physical principles. The review concludes with future directions, including autonomous materials discovery platforms and hybrid physics-informed ML models.

 

 

Published by: vikaspatanker

Authors: Ruselle H. Paano, Jovilyn D. Apigo

Abstract: This study investigates the various factors that influence the academic performance of Grade V pupils in Science. Recognizing the crucial role of science education in shaping critical thinking and problem-solving skills, the research aims to identify both internal and external factors that significantly affect student achievement. The study focuses on variables such as students’ study habits, interest in science, classroom environment, teacher competency, parental involvement, and access to learning resources. Using a quantitative descriptive-correlational design, data were gathered through surveys and academic records from a representative sample of Grade V pupils in selected schools. Statistical analysis revealed that student interest and motivation, teacher teaching strategies, and parental support had the most significant correlation with science performance. Meanwhile, socio-economic status and availability of learning materials also showed notable influence. The findings suggest that improving science performance requires a holistic approach that involves not only curriculum improvements but also increased parental engagement and support for teacher development. The study provides recommendations for educators, administrators, and policymakers to enhance science instruction at the elementary level.

Published by: vikaspatanker

Authors: Vadla Aakash, Gummadi Manideep Reddy, Dr.K.Prem Kumar Associate, Dhareddy Rohith Reddy,, Varkuti Nitish Reddy

 

 

Abstract: Secure Haven – Enhancing Gated Community Management with IoT is an innovative initiative that utilizes advanced Internet of Things (IoT) technologies to improve the overall management and functionality of modern gated communities. By integrating a variety of IoT devices, including sensors and controllers, the system enables real- time monitoring and control of key community operations. This leads to greater efficiency, convenience, and safety for residents. These devices gather critical data related to energy consumption, environmental conditions, occupancy, and security. The collected data is processed using sophisticated algorithms and machine learning techniques to optimize community performance and decision-making. The project focuses on four main areas: energy management, environmental control, security and access control, and predictive maintenance. Energy efficiency is achieved through smart meters and intelligent lighting systems that help reduce energy waste and cut costs. The incorporation of renewable energy sources also supports sustainability. Environmental comfort is maintained using DHT11 sensors that monitor temperature and humidity, ensuring ideal indoor conditions. For security, RFID-based access systems are employed to allow secure and automated entry into the premises, while smart surveillance and real- time alert mechanisms provide an added layer of protection. Predictive maintenance is enabled by IoT-based monitoring systems, such as water level sensors, which facilitate continuous tracking of equipment performance and help prevent failures through early detection.Overall, Secure Haven offers a smart, secure, and sustainable solution for managing gated communities by leveraging the power of IoT to create a more connected and responsive living environment.

DOI: http://doi.org/

 

 

Published by: vikaspatanker