ICSEMT March 2025 Proceeding | International Journal of Science, Engineering and Technology

Proceeding of the March 2025 Conference

The Role of Internet Addiction in the Stress-Coping Mechanisms of Paramilitary Personnel

Authors- Research Scholar Satyavir Singh, Assistant Professor Dr. Rakhi Kumari

Abstract- – Paramilitary personnel frequently encounter high-stress environments that require effective coping strategies to maintain mental health and operational readiness. With the widespread accessibility of the internet, many individuals turn to online activities as a means of coping with stress. However, when internet use becomes excessive and uncontrolled, it can evolve into internet addiction, which may impair rather than support psychological well-being. This review examines the role of internet addiction in the stress-coping mechanisms of paramilitary personnel, exploring the psychological, behavioural, and social consequences of maladaptive internet use. The paper also discusses the implications for mental health and mission readiness, and suggests avenues for intervention and healthier coping strategies.

Augmented Reality and Sustainable Consumerism: Impact on Eco-friendly Purchase Decisions

Authors- Jaya, Professor Rahul Sharma

Abstract- – Augmented reality is changing consumer behavior and is playing an increasing role in encouraging sustainable purchasing behaviors. This review aims to explore the integration of AR in different sectors such as retail, E-commerce, food, and logistics and its impact on consumer interaction with eco-friendly products. Research shows that, AR increases purchase intent by making products more transparent, offering an immersive experience, and reducing product returns. Virtual try- ons , interactive sustainability labels, and AR- powered QR codes be push consumers towards sustainable options rather easily. Furthermore, AR minimizes the need for physical packaging and printed materials thus contributing to the waste reduction efforts. The theory of planned behavior (TBP) and the concentration set model are consumer decision–making models that explain how digital intervention affect green purchasing. The psychological and behavioral effects of AR reveal its ability to encourage long–term eco–conscious behavior through gamification and the use of AI for personalization. Nevertheless, there are still some issues to solve, including those related to data privacy, availability, and the danger of Green washing. Future work should also extend to developing a standardized matrix for assessing the sustainability impact of AR and its effects on behavior change. This paper also highlights AR’s viability as a tool for sustainable consumerism and the need for business and policy makers to consider integrating digital innovations in their eco-friendly marketing strategies.

Cloud Migration Technique: A Review

Authors- Prevesh Kumar Bishnoi, Dr. Dharmender Kumar, Dr. Prateek Bhanti

Abstract- – By means of a process of transformation, companies shift their data, programs, and workload from on-site infrastructure to cloud environments. Combined with other cloud migration strategies, this study looks at rehosting, replatforming, refactoring, hybrid cloud solutions combined with their benefits and drawbacks. Analyzed are how generative artificial intelligence, machine learning, and optimization techniques could lower downtime and consequently maximize resource use, thereby enhancing migration efficiency. Investigated in order to solve data flow issues are virtual machine (VM) migration strategies—pre-copy and compression-based approaches. Among the underlined issues are security ones; GDPR and HIPAA compliance; regulatory observance; access control; encryption. Furthermore, addressed are energy-efficient migration strategies meant to reduce running expenses and power consumption. The book underlines the need of industry case studies and practical applications in grasping the complexity of migration. This paper gives a whole picture of cloud migration strategies by tackling scalability, flexibility, and cost economy. Future studies should concentrate on improving security measures and on creating artificial intelligence-driven automated solutions to support cloud migration procedures even more. The results provide companies looking for sensible solutions for cloud migration with interesting analysis.

Cross-Game Asset Interoperability with Dapp & NFTs

Authors- Er.Urvashi Malhotra, Preet, Saksham Mishra, Shubham Kumar, Om Ankur Prajapati

Abstract- – Decentralized applications (DApps) have created new opportunities for asset management that become possible with blockchain technology combined with smart contracts. The ” DApp Smart Fund Manager’s ” presents a decentralized platform which enables users to buy tokens from DApps while making shopping selections from inventory items together with automated NFT transfer capabilities. Through this protocol users can move digital assets with security between different parties with blockchain-based traceability and security measures intact. This technology finds important gaming use with gamers who transfer various skins across different games connected through decentralized systems. Game developers now have options to build shared ecosystems alongside users receiving better flexibility through blockchain-based cross-game asset transfer functionality.

Farmer Assist Agri Bot an Automated Seeding Arrangement by Robot in Cultivation Land

Authors- Gk. Rameswari, L.Amarnadh, N.Ganesh, R.Venkatesh, Mrs.S.Priyanka

Abstract- – In recent years, robotics in agriculture sector with its implementation based on precision agriculture concept is the newly emerging technology. The main reason behind automation of farming processes are saving the time and energy required for performing repetitive farming tasks and increasing the productivity of yield by treating every crop individually using precision farming concept. Designing of such robots is model based on particular approach and certain considerations of agriculture environment in which it is going to work. These considerations and different approaches are discussed in this paper. Also, prototype of an autonomous Agriculture Robot is presented which is specifically designed for seed sowing, forming task only.

A Study of Internet of Things (IoT) Towards Industrial Automation in Gurugram City

Authors- Research Scholar Siddarth Bahuguna, Associate Professor Dr. Parveen Chauhan

Abstract- – The Internet of Things (IoT) has arose as a life-changing electronics with extensive uses in modern mechanization, contribution the potential to improve productivity, decrease functional costs, and help means exercise. In the circumstances of Gurugram, a leading industrialized and concerning details center in India, the exercise of IoT in technical mechanization has gained meaningful push. This paper specifies an inclusive review of IoT sciences second hand for automating industrial processes in Gurugram, fixating on key requests, case studies, challenges, and future flows. By resolving existent research, useful implementations, and market styles, this study aims to clear up the current state and future potential of IoT-located technical industrialization in the domain. The findings focal point two together the benefits and impediments to IoT acceptance and offer acumens into the evolving act of IoT in change technical movements in Gurugram.

Brain Stroke Detection System Based On CT Images Using Deep Learning

Authors- Assistant professor Mrs. Buvaneswari M, Mr.Kiran Kumar G, Mr.Chaitanya Kumar Reddy, Mrs.Devi Gayathri P,Mr.Mahidhar K

Abstract- – In recent years, machine learning and deep learning techniques have significantly improved medical diagnostics, particularly in the detection of blood disorders like leukemia. Autoleuk aims to streamline the detection of acute lymphoblastic leukemia (ALL) by leveraging convolutional neural networks (CNN) and transfer learning, which can significantly reduce the time and cost involved in diagnosing this condition.Traditional methods of detecting all involve complex and expensive tests, such as fluorescence in situ hybridization (fish), which are not easily accessible in many healthcare settings, particularly in low-resource environments. Thus, the goal of this research is to develop a more efficient, cost-effective solution through automated image analysis techniques.By utilizing fuzzy-based two-stage color segmentation, the system can isolate leukocytes from the other components of detection process. This method simplifies the preprocessing step, ensuring that only relevant features are extracted for further analysis.Features like hausdorff dimension and contour signature are key to identifying and classifying the blood cells effectively, enabling the system to detect potential leukemia.

A Secure and Transparent Deduplication Scheme for Cloud Storage Integrity

Authors- A. Hari Hara Sumanth Sai, N.Leela Mohan Sreenivas, Vasu R, Rishitha S, Dr.S.Lavanya

Abstract- – One method that cloud storage systems use to reduce space and increase upload bandwidth is data deduplication, which involves removing duplicate data. On the other hand, a cloud storage provider (CSP) might alter user data or trick consumers into paying for storage space that isn’t being utilized for data that is duplicated. While there have been solutions that use message-locked encryption and Proof of Retrievability (PoR) to ensure deduplicated encrypted data is intact, these solutions fail to prove that the duplication check is correct when data is uploaded. Additionally, they force users to use the same file for verification tags, which leaves them vulnerable to brute-force attacks and limits their ability to create unique verification tags. We provide VeriDedup, a verified deduplication technique, in this work to solve the aforementioned issues. With its integrated support for configurable tag creation for integrity checks over encrypted data deduplication, it can ensure that duplication checks are accurate. To be more specific, we suggest a new protocol called TDICP that is built on Private Information Retrieval (PIR). This protocol introduces a new verification tag called note set that enables several users to create their own verification tags while still supporting tag deduplication at the CSP.

Car Dealership and Reservation Management System

Authors- S.Balaji, G.Sandeep, R.Koteswar Reddy, T.V.Sathish, Mrs.R.Dhivya

Abstract- – This is a live project which was developed for a local Vehicle Agent. It is useful to the Agent to maintain the User details, Sales Details, Company items and services and also Vehicle Details. If any user buy a vehicle in loan that persons vehicle will recognizes with the help of vehicle no. The agent will enter the Vehicle No It will help the user to search the vehicle details and the required details of the User. The agent enters the User details and maintain admin details. Regarding the registration module, it contains the information about newly joined User details like name of the user, password etc. Billing and Payment Detail will contain the details like Actual Amount to be paid. Searching is having the details of the user. Any agent will login and search the details of the user it will show all details like user Details, vehicle name, payment type etc. This “Car Showroom Management System” project mainly contains the vehicle information and loan recovering details. The vehicle is purchased that vehicle amount will be cleared or not. Creating the application for car show room management system.

Gen AI based Catering Management System

Authors- Assistant Professor D.Nirmala, Dhanush Kumar B, Akash A

Abstract- – The Online Bookstore is an innovative web-based platform that revolutionizes the book-shopping experience by providing an accessible, convenient, and secure digital solution. Traditional bookstores often pose challenges such as limited accessibility, manual inventory management, stock shortages, and the absence of online ordering and tracking systems. This project effectively addresses these limitations by enabling users to browse a vast collection of books, search for specific titles, add books to a shopping cart, and complete secure transactions seamlessly. The system offers key functionalities, including user authentication, an intuitive book categorization system, a streamlined checkout process, and real-time order tracking, ensuring a hassle-free purchasing experience. Additionally, an admin panel empowers store owners to efficiently manage book inventory, process orders, and oversee customer transactions, reducing manual errors and enhancing operational efficiency. The Online Bookstore is designed with a user-friendly interface, secure payment gateways, and real-time inventory updates, ensuring reliability and ease of use. The project aims to enhance customer satisfaction by eliminating the constraints of physical bookstores while promoting digital transformation in the book industry. Future enhancements, such as mobile applications, AI-powered book recommendations, and multi-vendor support, can further enhance the platform’s scalability and engagement. This comprehensive, technology-driven solution ensures a modern, efficient, and customer-centric approach to book purchasing.

Seismic Analysis of Fixed Base RC Structure & Base Isolated RC Structure

Authors- Pankish Goel, Dr. Jyoti Yadav

Analysis of Composite Material Using ANSYS Software Finite Element Method

Authors- Dipak Kumar, Dr. Jyoti Yadav

Abstract- – In recent years, the usage of composite materials to reinforce concrete buildings has risen. In comparison to metals, composite materials offer intriguing qualities such a high strength to weight ratio, simplicity of manufacture, and superior electrical and thermal characteristics. Multiple layers of a composite mixture made up of fibers and matrix make up a laminated composite material. Under varied stacking sequences, each layer may have variable fiber orientations and material qualities that are comparable or dissimilar. The design of these composites has a lot of unresolved problems. Estimating the resulting material characteristics is the first step in the analysis of such composite materials. In this field, one may use both traditional theory and numerical techniques like finite element modeling. The ANSYS model, which builds the laminate stacking sequence and subjects the member to uniform strain at the free end while predicting the reaction stress at the fixed end, is used to verify the generated constants. The created interface somewhat streamlines the design process. The use of composite materials, such as FRP, to upgrade reinforced concrete columns has been examined in this research. With ANSYS, a linear analysis of the column specimen was completed. Determining the deformation of a concrete column reinforced with FRP bar will be made easier with the help of the study that was completed. These total material constants as of analysis are used to explain the dynamic analysis in terms of basic linear analysis utilizing ANSYS software finite element method.

Study and Analysis of Single Cell Box Girder in a Metro Bridge Under Various Radius of Curvature

Authors- Deepak Prasad, Dr. Jyoti Yadav

Abstract- – The population of the Ahemedabad metropolis, India’s economic hub, has grown dramatically over the last two decades. To meet traffic demands, Metro Rail Transport began operations. Ahemedabad Metro Rail Corporation is building some phases of an elevated metro rail system. A typical box girder bridge consists of various structural elements. The current study focuses on the parametric analysis of single cell box girder bridges that are curved in plan. The parametric study used five box girder bridge models with constant span length and varying curvature. In order to validate the finite element modeling method, a box Girder Bridge example from the literature is chosen for the validation study. The example box girder is modelled and analysed in SAP 2000, and the results are found to be reasonably consistent with those reported in the literature. The response ratio is expressed as a parameter. The responses show that parameters such as torsion, bending moment, and deflection increase as the curvature of the bridges increases.

Role of Software Design Patterns in Risk Assessment in Software Development

Authors- Ritesh Kumar, Professor Dr. Gaurav Aggarwal

Abstract- – Software design patterns have evolved from being merely programming templates to critical components in risk assessment and mitigation strategies within the software development lifecycle (SDLC). This research examines the integral role that design patterns play in identifying, evaluating, and mitigating risks in modern software development. Through a comprehensive literature review and analysis of recent empirical studies, this paper categorizes security-focused design patterns, analyzes their integration with risk assessment frameworks, and evaluates their effectiveness in reducing security vulnerabilities. The findings reveal that while design patterns significantly enhance risk assessment practices by providing structured approaches to common security challenges, there remains a substantial gap in empirical validation of their effectiveness across different development contexts. This research contributes to the growing body of knowledge on software security by establishing a clearer connection between design pattern implementation and quantifiable risk reduction, concluding with recommendations for more systematic integration of design patterns in risk assessment methodologies.

Advanced Encryption Methods for Enhancement in Safety of Big Data

Authors- Ms. Sarita, Professor Gaurav Aggarwal

Abstract- – Cloud computing has become a general term. It has been used to the deliver the hosted services. These services are provided over the internet. There are three type of cloud such Public Cloud, Private Cloud, Hybrid Cloud. Several benefits of cloud computing are discussed along with its challenges. Big data is a combination of structured, semi structured and unstructured data. Also we discuss about intrusion detection system.

Analysis of Composite Material Using ANSYS Software Finite Element Method

Authors- Dipak Kumar, Assistant Professor Dr. Jyoti Yadav

Seismic Analysis of Fixed Base RC Structure & Base Isolated RC Structure

Authors- Deepak Prasad, Assistant Professor Dr. Jyoti Yadav

Abstract- – In the event of an earthquake, the majority of existing buildings that do not meet current seismic requirements may sustain significant damage or possibly collapse. The Base Isolation technique is the most effective seismic protection system to lessen the impact of an earthquake on the structure. By prolonging the structure’s life, the base isolation system aims to lessen the inertia force caused by earthquakes. With SAP2000v16 software, the (G+8) storied RC frame structure was examined for two scenarios: fixed base RC structure and base isolation RC structure. Because of its effective outcomes, the analysis’s base isolation system is a High Damping Rubber Bearing (HDRB). Models are used for analysis and are designed in accordance with IS 1893:2002. In comparison to the fixed base condition, the final result demonstrates that the HDRB base isolators increase the structure’s time period while decreasing storey drift, storey acceleration, storey velocity, and story displacement.

Study and Analysis of Single Cell Box Girder in a Metro Bridge Under Various Radius of Curvature

Authors- Deepak Prasad, Assistant Professor Dr. Jyoti Yadav

Abstract- – The population of the Ahmedabad metropolis, India’s economic hub, has grown dramatically over the last two decades. To meet traffic demands, Metro Rail Transport began operations. Ahmedabad Metro Rail Corporation is building some phases of an elevated metro rail system. A typical box girder bridge consists of various structural elements. The current study focuses on the parametric analysis of single cell box girder bridges that are curved in plan. The parametric study used five box girder bridge models with constant span length and varying curvature. In order to validate the finite element modeling method, a box Girder Bridge example from the literature is chosen for the validation study. The example box girder is modelled and analysed in SAP 2000, and the results are found to be reasonably consistent with those reported in the literature. The response ratio is expressed as a parameter. The responses show that parameters such as torsion, bending moment, and deflection increase as the curvature of the bridges increases.