AEGIS FLARE: IOT-ENABLED ROBOTIC FIREFIGHTER FOR ADVANCED FIRE DETECTION AND SUPPRESSION
Modern techniques for identification and evacuation of fires are required because they represent a serious risk to human life, belongings, including the surroundings. In order to tackle this scenario, this research project presents Aegis Flare, IoT based autonomous rescuer. Aegis Flare uses OpenCV analyzing images to automatically identify fla...
By E. Veera Boopathy, M. Ishwarya Niranjana, S. Nethaji Naveen Prasath, P. Sivabalvigneshan, R. Sanjesh, S. Sanjay, A. Nithishkumar, S. Vishal
MEMS-ENABLED VIBRATION MONITORING AND DIAGNOSTIC EVALUATION FOR LONG-TERM HEALTH ASSESSMENT OF SWARNAMUKHI AND BHAKTA KANNAPPA SETHU BRIDGES IN SRIKALAHASTI
This study presents a year-long vibration-based structural health monitoring (SHM) of the Swarnamukhi River Bridge and Bhakta Kannappa Sethu Bridge using a MEMS accelerometer integrated with a low-cost microcontroller system. The monthly dynamic response parameters of acceleration, displacement, frequency, and velocity were monitored from June 2024...
By K. Asha Latha, K. Narasimhulu
GEOLOGICAL STRUCTURE AND TOURIST ASPECTS OF THE RELIEF OF CHURVOQ FREE TOURIST ZONE
The Churvoq (Charvak) Free Tourist Zone (FTZ) represents a critical intersection between the complex tectonic landscape of the Western Tien Shan and Uzbekistan’s strategic push for international tourism. This paper examines the dual role of geological relief as both a primary recreational asset and a significant developmental constraint. Util...
By Shahnoza Shomurodova, Sulton Najmiddinov, Iskandar Sharofutdinov, Umida Xaybiyeva, Yusupov Gulboy, Davron Nigmatov, Dilshoda Saydumarova, Nodira Nurullayeva
ON LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) FOR BEHAVIOR LEARNING AND PERSONALIZED MARKETING OPTIMIZATION
Generative AI (GenAI), especially GPT-3.5-turbo, has transformed the e-commerce marketing process because it offers personalized learning experiences and improves the customer experience. In this paper, we discuss the use of GenAI in consumer behavior analysis and the development of customized marketing strategies. It has been observ...
By Bsmah Alsulami, Budoor Alwated, Khadijah Barashid, Manal Abdullah, Monerah AlOsaimi, Samah Alhusayni
FEDERATED LEARNING-BASED INTRUSION DETECTION FOR 6 G-ENABLED INTERNET OF THINGS IN SMART CITIES
The high rate of Internet of Things (IoT) device proliferation in smart cities, along with the emergence of 6G technology, has tremendously augmented the network traffic and the issue of security. This paper proposes a Federated Learning-based Intrusion Detection System (FL-IDS) specifically designed for 6G-enabled IoT networks. The new system help...
By Sanjay Kumar, Sapna Bawankar, Sindhusaranya Balraj
ENHANCING CONSTRUCTION PROJECT MANAGER SELECTION WITH EMOTIONAL INTELLIGENCE ASSESSMENT
Construction project managers have traditionally been chosen based on technical competence and experience, and little emphasis has been placed on emotional intelligence (EI), which plays an important part in the management of high-pressure environments, stakeholder relationships and conflict. The paper builds a contextual EI testing instrument base...
By Mohd Nasrun bin Mohd Nawi, Norhidayah Tamrin, Abdul Ghafur Hanafi, Mohd Faizal Omar, Mohd Kamarul Irwan Abdul Rahim, Faizatul Akmar Abdul Nifa
FRAGMENTATION-ENABLED VM MIGRATION AND ENHANCED DATA SEARCHING IN BIG DATA SERVER ENVIRONMENT
The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...
By G.S. Manjula, T. Meyyappan
CYBER-PHYSICAL MICROGRID MANAGEMENT USING EXPLAINABLE AI FOR HIGH RENEWABLE ENERGY PENETRATION
The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...
By Anjali Krushna Kadao, Sanjay Kumar
ENHANCING MACHINE LEARNING CLASSIFIERS WITH GLOBALBESTPSO FOR CLASSIFYING BANK CUSTOMERS
The innovation of Machine Learning (ML) techniques is evolving from basic techniques to optimized techniques, considerably improving the performance of prediction models. In the proposed work, the study primarily explores fundamental ML classification methods to classify banking customers based on their credit information. The classification of cus...
By Sufaira Shamsudeen, K. Ranjith Singh
ACCURACY ANALYSIS WITH ZYCOTHERM ADDITIVE TO IMPROVE THE PHYSICAL-MECHANICAL PROPERTIES OF THE ASPHALT LAYER IN CLAYEY SOILS
This research examines how asphalt mixtures that are modified with Zycotherm can help the mixtures have an enhanced resistance to damage caused by moisture which has not been well researched in previous studies. Hydraulic deterioration of asphalt and in particular the clay soils contribute greatly to the strength and lifespan of the road surfaces. ...
By Jeremy Mel Garcia Bazan, Manuel Alejandro Torres Arroyo, Neicer Campos Vasquez, Abel Carmona Arteaga