Category Archives: Uncategorized

Authors: Urgen Maharjan, Gakegni Ngaste Aperhy, Sahasra Nagaraj, Sahil Gupta, Prithi M

Abstract: The recent fast digitalization of the educational system has seen the introduction of online examination systems in universities, examining bodies and professional organizations in large numbers. Even though these platforms enhance accessibility, scalability, and operational efficiency, they present vital security and integrity issues that pose a threat t o the credibility of online tests. The significant security issues are impersonation by candidates, contract cheating, leaking of question papers, tampering with answer scripts, unauthorised collusion, malware-based attacks, network breach and massive distributed denial-of-service (DDoS) attacks. Also, the introduction of remote proctoring systems based on AI provokes serious concerns about privacy, ethical and data protection issues. The currently in place security systems like password-authenticated access and crude browser limitation are inadequate in stopping advanced methods of cheating as well as online threats. The modern studies suggest sophisticated measures such as multi-factor authentication, facial recognition-based and key-stroke dynamic-based biometric verification, end- to-end encryption algorithms to ensure safe data delivery, blockchain-based transparent record keeping, behavioral analytics, abnormality detection approaches that use AIs, and lockdown browsers. Nevertheless, such solutions tend to cover single facets of security and can pose issues of computational cost, scalability, implementation cost and user confidentiality. The paper provides the in-depth examination of security issues with online examination systems and reviews the modern research-based solutions in a systematic way. The comparative assessment framework is created to determine the efficiency, practicability and constraints of different security mechanisms. According to the results, a multi-layered security architecture will be introduced incorporating the elements of authentication, communication security, intelligent monitoring, and tamper-resistant data management to guarantee the examination integrity, confidentiality, availability, and accountability. The research concludes that a combination of defense in depth strategy is crucial towards the attainment of secure, scalable and reliable online examination ecosystems.

Published by: vikaspatanker

Authors: Shantanu Shahaji Gaikwad, Aryan Dattatray Vibhute, Sharvari Arun Shedage, Yogita Sunil Kamble

Abstract: In today’з modern and faзt-moving world, the demand for зmart and automated зolutionз haз increaзed зignificantly, eзpecially in the field of pet care. Thiз reзearch focuзeз on the development of an automatic pet food diзpenзer deзigned to provide automated, preciзe, and intelligent feeding зolutionз to зupport pet ownerз with buзy lifeзtyleз. Many pet ownerз face challengeз in maintaining conзiзtent feeding зcheduleз due to work commitmentз, travel, and other daily reзponзibilitieз. The propoзed зyзtem aimз to зolve thiз problem by enзuring that petз receive timely and accurate mealз without conзtant human зuperviзion. Theзe зyзtemз integrate microcontrollerз, зenзorз, real-time clock moduleз, and Internet of Thingз (IoT) technologieз to enable зcheduled feeding, accurate portion control, and remote monitoring through mobile applicationз. The microcontroller actз aз the central control unit, coordinating the timing mechaniзm and diзpenзing proceзз. Senзorз are uзed to detect food levelз, monitor bowl зtatuз, and enзure proper food diзtribution. Through IoT connectivity, uзerз can acceзз the зyзtem remotely, adjuзt feeding зcheduleз, control portion зizeз, and receive real- time notificationз regarding feeding activitieз and зyзtem performance. Advanced modelз incorporate data tracking and intelligent featureз that record feeding hiзtory, analyze conзumption patternз, and provide inзightз to improve feeding accuracy and maintain optimal pet health. Some зyзtemз may alзo include voice recording featureз, camera monitoring, and emergency alertз to further enhance functionality and зecurity. Theзe зmart featureз help prevent overfeeding and underfeeding, reduce food waзtage, and зupport balanced nutrition. Overall, automatic pet food diзpenзerз enhance convenience, conзiзtency, and reliability in daily feeding routineз. They contribute зignificantly to improved animal welfare by enзuring petз receive proper nutrition at the right time. At the зame time, they reduce human effort, minimize зtreзз for pet ownerз, and repreзent an important зtep toward the integration of зmart technology in modern pet care management.Top of Form Bottom of Form

DOI: https://doi.org/10.5281/zenodo.18721934

Published by: vikaspatanker

Authors: Ms. Meenakshi, Dr. Shweta Mishra

Abstract: Regression testing plays a critical role in ensuring the continued functionality and quality of software as changes, updates, or bug fixes are implemented. Given the complexity and the growing size of modern software systems, managing large test suites efficiently is becoming increasingly difficult. This paper focuses on the importance of test case prioritization, a technique aimed at ordering test cases in a way that maximizes fault detection early while minimizing resource utilization. The study compares various theoretical models and methods of test case prioritization, including random, requirement-based, code-based, and model-based prioritization. It highlights the benefits of prioritization in improving test efficiency and the challenges associated with its implementation. Additionally, the paper reviews both traditional and advanced prioritization techniques, including risk-based prioritization and AI-driven methods, with a comparison of their effectiveness in different software development contexts. Finally, the paper discusses the challenges and limitations of current prioritization models and suggests future directions for improving prioritization techniques in regression testing.

DOI: https://doi.org/10.5281/zenodo.18721641

 

Published by: vikaspatanker

Authors: Ms. Meenakshi, Dr. Shweta Mishra

Abstract: Regression testing plays a critical role in ensuring the continued functionality and quality of software as changes, updates, or bug fixes are implemented. Given the complexity and the growing size of modern software systems, managing large test suites efficiently is becoming increasingly difficult. This paper focuses on the importance of test case prioritization, a technique aimed at ordering test cases in a way that maximizes fault detection early while minimizing resource utilization. The study compares various theoretical models and methods of test case prioritization, including random, requirement-based, code-based, and model-based prioritization. It highlights the benefits of prioritization in improving test efficiency and the challenges associated with its implementation. Additionally, the paper reviews both traditional and advanced prioritization techniques, including risk-based prioritization and AI-driven methods, with a comparison of their effectiveness in different software development contexts. Finally, the paper discusses the challenges and limitations of current prioritization models and suggests future directions for improving prioritization techniques in regression testing.

 

 

 

Published by: vikaspatanker

Authors: Gabriel D. Gonzales, Nhyllarhy Myrrh Junsay, Gian Gaizel Pausta, Jannon V. Tagalog, Angel S. Salario, George I. Salvador

Abstract: This study focused on developing the MethaneMorphosis: The Smart Bioengineered Reactor as a more secure, automated, and affordable alternative to household biogas generation, addressing the challenges created by rapidly surging Liquefied Petroleum Gas (LPG) prices and initial cost and safety issues of manual biodigesters. The system included an Arduino Uno R4 Wifi microcontroller, and optimized automated co-digestion of household food waste and pig manure using Response Surface Methodology (RSM) and various sensors to monitor temperature, pressure, and methane concentration in real-time. The study found 100% of the reactor to be automated with the optimal mesophilic range of 36-39 degrees Celsius successfully maintained; the system achieved a remarkably high energy conversion ratio (ECR of 4968.03%), with recovered energy equivalent to nearly 5.94 kg of LPG utilized, all at a unit cost of methane at ₱12.26/m^3. Overall, the findings illustrate the importance of this system as a very efficient and robust option for cost-effective renewable energy generation and sustainable waste management options. The primary recommendation is for the local stakeholders to explore and adapt more innovative natural gas projects like MethaneMorphosis, which is a low-cost and automated reactor as an option for households that promote sustainable waste management and reduce household energy costs through generating renewable biogas.

DOI: https://doi.org/10.5281/zenodo.18721478

Published by: vikaspatanker

Authors: Dr. C.Chinna Suresh Babu, P.Subha Akhil, A.Dharani, M.M.Haneef

Abstract: The project titled “G+3 Residential Building Design, Analysis, and Estimation Using STAAD Pro and Revit Software” focuses on thestructural planning, analysis, and cost estimation of a Ground plus Three (G+3) storied residential building using advanced computer- aided design tools. The main objective of this project is to achieve a safe, economical, and functionally efficient structural design that complies with relevant building codes and standards. In this project, STAAD Pro is used for structural analysis and design to determine the strength, stability, and load-carrying capacity of structural components such as beams, columns, and slabs under various load conditions including dead load, live load, wind load, and seismic load. The Revit Architecture software is utilized for creating detailed 3D models, visualizations, and working drawings of the building, enabling better coordination among architectural and structural components. Overall, this study demonstrates the importance of using Building Information Modeling (BIM) and structural analysis software in modern civil engineering for producing sustainable, economical, and structurally sound residential buildings.

DOI: https://doi.org/10.5281/zenodo.18720515

 

Published by: vikaspatanker

Authors: Madhur M.Kamate, Parth S.Parik, Darshan B.Patil, Samarth N.Taralekar, Ms.S.C.Raynade

Abstract: In recent years, the rapid growth of global energy demand, along with the ongoing depletion of traditional fossil fuel resources, has made the need for sustainable, renewable, and decentralized energy solutions more urgent. Traditional energy generation methods are increasingly unable to meet rising consumption while ensuring environmental sustainability. Among the various alternative approaches, capturing human kinetic energy produced during everyday activities has emerged as a promising and eco-friendly solution. Human movement, especially in crowded public areas, is an underused and always available energy source. This paper presents the design and implementation of a footstep-based electricity generation system that uses piezoelectric sensors to convert human movements into usable electrical power. The system works on the principle of the piezoelectric effect, where mechanical pressure from footsteps is turned into electrical energy. The electrical output produced is usually alternating and highly variable. It is processed to ensure stable operation through rectification, filtering, and conditioning with appropriate power electronic circuits. A buck-boost converter regulates the voltage levels effectively and allows for the reliable storage of the collected energy in rechargeable batteries. An Arduino-based microcontroller is included for smart monitoring, which provides real- time readings of voltage levels, footstep counts, and system performance displayed on a 16×2 LCD module. The stored energy is used to power low- power DC devices like LEDs and mobile charging ports, as well as AC loads through an inverter circuit. Experimental tests show that the generated power increases with the load and footstep frequency. This demonstrates the potential for deploying the system in high-footfall public spaces such as railway stations, shopping malls, and smart city infrastructures.

Published by: vikaspatanker

Authors: Divya Menon

Abstract: Modern enterprise applications increasingly rely on distributed architectures to support scalability, availability, and continuous service delivery. While distributing services across multiple nodes improves flexibility and throughput, it also introduces complex challenges in performance optimization and system reliability. Network latency, partial failures, service dependencies, and inconsistent data states become common operational concerns. This review examines the core performance and reliability factors affecting distributed enterprise systems, including communication overhead, consistency models, fault tolerance mechanisms, observability, and resilience patterns. The article further discusses architectural strategies such as microservices, event-driven design, caching, load balancing, circuit breaking, and graceful degradation. Finally, best-practice recommendations are provided to help engineers design systems that maintain high throughput while remaining fault-tolerant under real-world production conditions.

DOI: https://doi.org/10.5281/zenodo.18712263

Published by: vikaspatanker

Authors: Arjun Pillai

Abstract: Modern enterprises operate in highly dynamic digital ecosystems where applications must support large volumes of concurrent users, real-time processing, and continuous service availability. To meet these expectations, information systems are required to be scalable, resilient, and economically efficient while maintaining consistent performance across geographically distributed environments. Traditional monolithic architectures are increasingly unable to satisfy these requirements because they rely on tightly coupled components, rigid deployment cycles, and manual infrastructure management. These limitations result in slower innovation, increased downtime risk, and higher operational costs. The emergence of cloud computing combined with automation technologies has significantly transformed enterprise system design. Cloud platforms provide elastic resource provisioning and geographically distributed infrastructure, while automation enables repeatable configuration, rapid deployment, and continuous operational monitoring. Together, they enable organizations to transition from hardware-centric infrastructure management to software-defined operational environments capable of adapting to workload fluctuations in real time. This review examines the architectural evolution of enterprise systems from monolithic models to service-oriented and microservices-based architectures. Particular emphasis is placed on enabling technologies including Infrastructure as Code (IaC), DevOps methodologies, containerization, orchestration frameworks, and artificial intelligence–driven automation. The study also analyzes cloud service and deployment models, monitoring and observability mechanisms, and integrated security automation approaches that enhance reliability, availability, and operational efficiency in distributed enterprise platforms. Furthermore, the review discusses key implementation challenges such as vendor lock-in, data protection requirements, operational complexity, and financial governance associated with automated cloud environments. Emerging trends including autonomous operations, predictive scaling, and self-healing infrastructure are explored to illustrate the future direction of enterprise computing. Overall, the convergence of automation and cloud technologies establishes a foundational paradigm for next-generation enterprise digital infrastructure, enabling adaptive, intelligent, and continuously evolving software systems.

DOI: https://doi.org/10.5281/zenodo.18712211

Published by: vikaspatanker

Authors: Tariq Mahmood

Abstract: Cloud-native enterprise engineering has emerged as a transformative paradigm that shifts organizational computing models from rigid monolithic information systems to scalable, distributed, and continuously evolving digital platforms. Traditional enterprise applications were designed for stable infrastructure environments and infrequent updates, whereas modern digital ecosystems require rapid feature delivery, elastic scalability, and uninterrupted service availability. Cloud-native engineering addresses these requirements by designing applications specifically for dynamic cloud environments rather than merely migrating legacy software to virtualized infrastructure. This paradigm integrates several foundational technologies and practices, including microservices-based architectural decomposition, containerization for environment consistency and portability, declarative infrastructure provisioning, and automated delivery pipelines. Together, these enable continuous integration and continuous deployment, allowing organizations to release software updates reliably and frequently. Automation minimizes manual intervention, reduces operational risk, and improves development productivity, thereby aligning software delivery speed with business agility. Beyond development workflows, cloud-native engineering introduces new operational methodologies. Observability practices provide real-time insights into system behavior using metrics, logs, and distributed tracing, enabling proactive issue detection and faster incident resolution. Reliability engineering principles such as service level objectives and error budgets allow organizations to balance innovation velocity with system stability. Additionally, integrated security practices embed vulnerability detection and policy enforcement throughout the software lifecycle, transforming security from a reactive process into a continuous responsibility. The transition to cloud-native engineering also requires significant organizational transformation. Enterprises move from siloed development and operations teams toward cross-functional collaboration supported by internal platforms and self-service infrastructure. While this shift improves efficiency and scalability, it introduces challenges including operational complexity, skill shortages, governance requirements, and financial cost management in dynamically scaling environments. Overall, cloud-native enterprise engineering represents more than a technological evolution; it is a comprehensive operational and cultural shift. By combining architectural modernization, automation, and collaborative practices, organizations can achieve resilient, adaptive, and continuously improving digital systems capable of supporting modern service-driven economies.

DOI: https://doi.org/10.5281/zenodo.18712150

Published by: vikaspatanker