Journal of Science Engineering Technology and Management Science

In this research paper, write-up explores how Information Systems (IS) has acted as an engine of entrepreneurial prosperity among small and medium sized firms (SMEs) of Nagpur region in India. In the descriptive research design, 384 entrepreneurs in different sectors were sampled in collecting data using a structured questionnaire. In the analysis, it was made using descriptive and inferential statistical methods; such as correlation and regression analysis. The conclusion shows that there is a great correlation between IS adoption and entrepreneurial success that is quite significant in the improvement of operation efficiency, innovations, and decision-making processes. The paper finds that IS plays a very seminal role in facilitating business functionality and success with respect to sustainability in novel entrepreneurial ecosystems. Recommendations are made on what should be practiced by entrepreneurs, policymakers and technology providers based on the results to enhance IS integration to nature local business practices

Keywords : Information Systems, Entrepreneurial Success, SMEs, Operational Efficiency, Innovation, Strategic Decision-Making, Technology Adoption, etc

Author : Dr. Leelavathi. K

Title : INFORMATION SYSTEMS AS A CATALYST FOR ENTREPRENEURIAL SUCCESS: AN EMPIRICAL STUDY

Volume/Issue : 2025;02(07)

Page No : 511-516

Understanding human interactions and relationships requires human activity recognition (HAR). Extraction is difficult since it reveals a person's identity, personality, and mental state. Human activity movement forecasting is HAR. HAR is used in many applications since cellphones and video cameras can collect human activity data. Digital devices, apps, and AI advances have made deep learning data extraction for reliable detection and interpretation possible. This integration has strengthened our understanding of HAR's three pillars—acquisition devices, artificial intelligence, and their applications—which are expanding rapidly. While various review papers have covered the basics of HAR, few have compared all HAR devices and even fewer have examined the impact different AI designs. This assessment covers 2006–2021 and analyses HAR's three pillars. The study also suggests ways to improve HAR design for reliability and stability. Five main conclusions: (1) HAR is built on devices, AI, and apps; (2) HAR dominates the healthcare business; (3) hybrid AI models are still developing and require significant improvement to provide stable and reliable designs. Additionally, these models must have reliable predictions, high precision, effective generalisation, and the ability to achieve application objectives without bias; there has been little research on anomaly detection in human activities; and movement prediction has advanced little. The three core components of the HAR industry—electronic devices, apps, and artificial intelligence—will continue to evolve, and AI will shape the future of the sector. This paper summarises current human activity classification research. We classify human activity recognition methods and evaluate their pros and cons. Two main types of human activity classification techniques use one or more modalities. Subcategories within each category show how they represent human activities and which ones they highlight. We also exhaustively evaluate publically accessible human activity recognition datasets and ideal HAR dataset criteria. This paper highlights sensor-based and video-based human activity detection development, emphasizing on core technologies, identification systems, and applications from low-level to highlevel representations

Keywords : HAR, Artificial Intelligence, datasets, electronic devices, healthcare

Author : Anireddy. Sridhar Reddy

Title : AN ADVANCED REVIEW ON HUMAN ACTIVITY RECOGNITION USING ARTIFICIAL INTELLIGENCE

Volume/Issue : 2025;02(07)

Page No : 517-525

Background: The increasing complexity of software systems and accelerated development cycles have intensified the need for intelligent test management systems that optimize decisionmaking during software testing processes. Objective: This narrative review examines the current state of intelligent test management systems, evaluating their effectiveness in optimizing testing decisions, identifying key technologies, and assessing implementation challenges. Methods: We conducted a comprehensive review of 25 verified studies published between 2007-2024, sourced from IEEE Xplore, ACM Digital Library, ScienceDirect, and other reputable databases. Studies were selected based on their focus on AI/ML applications in software testing and empirical validation of intelligent decision-making systems. Results: Our analysis reveals that AI-powered test management systems achieve 85-95% accuracy in automated testing decisions, with 40-60% reduction in test execution time and 20- 50% cost savings. Machine learning classification techniques dominate current implementations, followed by genetic algorithms and natural language processing. The ITMOS framework demonstrates industrial viability with F1-scores of 0.9163 for CI configuration and 0.9463 for test automation decisions. Conclusions: Intelligent test management systems show significant promise for transforming software testing practices through automated decision support, predictive analytics, and adaptive optimization. However, challenges remain in integration complexity, tool reliability, and organizational adoption

Keywords : intelligent test management, software testing automation, artificial intelligence, machine learning, decision support systems, test optimization, continuous integration, test case prioritization

Author : Manjeet Kour,Er. Shilpa

Title : INTELLIGENT TEST MANAGEMENT SYSTEMS FOR OPTIMIZING DECISION-MAKING DURING SOFTWARE TESTING: A NARRATIVE REVIEW

Volume/Issue : 2025;02(07)

Page No : 526-544

The design and analysis of multicavity cap moulds using ANSYS Fluent for the simulation of the injection molding process. The study investigates three distinct multicavity cap designs: 2-cavity threaded, 8-cavity threaded, and 8-cavity flip-top moulds, commonly used in manufacturing caps for packaging, pharmaceuticals, and consumer goods. The primary aim is to optimize the molding process by evaluating key parameters such as melt flow, temperature distribution, cooling efficiency, and pressure drop during both the injection and cooling phases. Using SolidWorks, 3D models of the cap moulds are created and analyzed through CFD simulations in ANSYS Fluent to study the fluid dynamics, heat transfer, and material behavior within the mould. The simulations help in understanding fill patterns, melt front progression, and the impact of cooling channel layouts on temperature uniformity across the cavities. The performance of each mould configuration is evaluated in terms of cycle time, energy consumption, and potential defect formation (such as warping, short shots, and air traps), offering insights into optimizing the mould design for improved efficiency and part quality. The findings highlight the importance of integrated CFD analysis in multicavity mold design, emphasizing the role of cooling system optimization to reduce defects and improve overall efficiency in industrial manufacturing processes

Keywords : Cap mold, Multicavity, Ansys fluent

Author : Saikumar Amda, Dr. N.V. Srinivasulu, Dr. L.Sivarama Krishna

Title : ANALYSIS OF MULTICAVITY CAPMOULD USING ANSYS FLUENT

Volume/Issue : 2025;02(07)

Page No : 545-559

Customer loyalty has emerged as a major concern of any business in the current competent and fastpaced market. Customer retention and brand loyalty are two of the key concepts which determine the success of a business in the long run. This research paper provide comparison of the two factors within Fast-Moving Consumer Goods (FMCG) sector and Technology (Tech) sector. The central goal is to learn the approach companies in the industries can achieve brand loyalty and keep their consumers in the long-run. The analysis aims at determining some of the major factors involved in influencing loyalty and retention-customer satisfaction, trust, product quality, emotional connection, and service experience. The statistical analysis conducted utilizing primary data gathered with the use of survey among 200 respondents (100 in both FMCG and Tech) involves the use of such statistical tools as descriptive analysis and hypothesis testing in order to determine the patterns and relationships. The findings demonstrate that although brand loyalty has a tremendous influence on customer retention across the two industries, the level of their interactions is stronger in the Tech sector. The study is rich in information that can prove helpful to anybody involved in marketing, brand management and business strategy interested in enhancing the relationship they have with the customers and maintaining growth in the industry of their products

Keywords : Brand loyalty, customer retention, FMCG, technology sector, customer satisfaction, consumer behavior

Author : Dr. Rajesh G. Walode

Title : BRAND LOYALTY AND CUSTOMER RETENTION: A COMPARATIVE ANALYSIS OF FMCG AND TECH SECTORS

Volume/Issue : 2025;02(07)

Page No : 560-567

Natural fibers, particularly flax, are recognized as an eco-friendly alternative to synthetic fibers in composite materials. Their use is growing due to their low cost, biodegradability, and sustainability. This study investigates the effect of alkali treatment on the load-bearing capacity of natural flax fiber epoxy composites. Flax fibers were treated with 5% and 10% NaOH solutions to enhance the fibermatrix interaction, and the composites were fabricated using the hand layup technique with an epoxy resin matrix. A series of mechanical tests were conducted, including low-velocity impact, drop weight tests, quasi-static indentation, and water absorption tests. The results demonstrated a significant improvement in the load-bearing capacity of the alkali-treated composites, particularly in low-velocity impact and indentation resistance, with 10% NaOH-treated fibers exhibiting the highest performance. Alkali treatment enhanced the interfacial bonding between the flax fibers and epoxy resin, leading to better stress transfer and increased energy absorption during impact. However, the water absorption test showed a slight reduction in moisture uptake, suggesting that alkali treatment improves the composite's moisture resistance. Despite the enhanced performance, higher NaOH concentrations (10%) caused slight fiber degradation, affecting the elongation at break. Overall, the findings suggest that alkali treatment effectively improves the mechanical properties and durability of flax fiber composites, making them suitable for high-performance, eco-friendly applications, provided that the NaOH concentration is optimized

Keywords : alkali treatment, Hand layup technique, flax fiber, epoxy resin composite

Author : Vijay Mohan Shetty ,M. Madhavi, P. Ramesh Babu

Title : FECT OF ALKALI TREATMENT ON LOAD BEARING CAPACITY OF NATURAL FLAX FIBER EPOXY COMPOSITES

Volume/Issue : 2025;02(07)

Page No : 568-583

This study investigates the synergistic effects of alkali post-treatment and fiber orientation on the impact behavior of woven flax fiber-reinforced epoxy laminates. Six distinct layup configurations— were fabricated using the hand layup technique. Post-curing, the laminates were chemically treated with 5% and 10% sodium hydroxide (NaOH) to enhance fiber–matrix interfacial bonding. Mechanical performance under impact loading was assessed through drop weight (low-velocity impact) and quasistatic indentation (QSI) tests at impact energies of 5 J, 10 J, and 15 J. The 5% NaOH-treated composites exhibited superior energy absorption across all layups, with maximum QSI absorption efficiency reaching 78.7% in symmetric hybrid (D) and 78.6% in group hybrid (E) configurations at 15 J. Angle-ply (F) and hybrid stacking (C) configurations also demonstrated comparable resistance (78.3%–78.4%). These improvements were attributed to enhanced fiber–matrix adhesion and favorable in-plane load distribution enabled by the multi-angled orientations. In contrast, the 10% NaOH treatment, while improving bonding, led to marginal fiber degradation, slightly reducing energy absorption efficiency (typically 75.7%–75.9%). Unidirectional stacks (A) consistently showed the lowest performance due to directional stress concentration and limited delamination control. The results underscore the importance of optimizing both chemical surface modification and laminate architecture to achieve high-impact resistance in natural fiber composites. This study provides a pathway for developing sustainable, lightweight, and structurally resilient materials for automotive and aerospace applications where energy absorption and eco-efficiency are critical

Keywords : alkali treatment, Hand layup technique, flax fiber, epoxy resin composite

Author : Vijay Mohan Shetty ,M. Madhavi, P. Ramesh Babu

Title : MECHANICAL RESPONSE OF POST-TREATED WOVEN FLAX EPOXY LAMINATES UNDER LOW-VELOCITY IMPACT AND QUASI-STATIC INDENTATION

Volume/Issue : 2025;02(07)

Page No : 584-597

Biodegradable composites reinforced with plant-based fibers are emerging as promising candidates for lightweight and sustainable material solutions. Among these, Calotropis gigantea an underutilized plant-based fiber holds potential as a sustainable reinforcement material. This study investigates the mechanical characterization of Calotropis gigantea stem fibers, using corn flour as an eco-friendly matrix to develop biodegradable composites. Fibers were extracted via the retting process and incorporated into corn flour in varying weight ratios. Composite laminates with different fiber-to-resin proportions were fabricated to check the stability for the novel fiber composite, among which 44.4% w/w fiber content was found optimal for mechanical testing due to superior laminate stability. A series of five replicates were tested to ensure accuracy and repeatability. The results revealed a tensile strength of 31.34 MPa, flexural strength of 97.20 MPa, and a notably high impact strength of 28.5 kJ/m², indicating the material's potential for impact-sensitive applications. Although marginal gains were seen in tensile and flexural performance, the composite demonstrated significant enhancement in impact resistance, highlighting its practical viability in lightweight structural, packaging, and insulation components where energy absorption is critical.

Keywords : Natural Fibers, Calotropis Gigantea, bio-composite, Corn flour, Mechanical Testing

Author : Reeti Mukherjee , M Madhavi , A Krishnaiah

Title : Mechanical Performance of Biodegradable Natural Composites Reinforced with Calotropis Gigantea Fibers

Volume/Issue : 2025;02(07)

Page No : 598-610

Green hydrogen has emerged as an alternative potential energy source for a clean and sustainable future. It is versatile, has high energy content and derived from renewable energy sources. It has the potential to replace traditional energy sources like fossil fuels. In this article, we have introduced hydrogen as future energy carrier with its various types and production methods and storage techniques. We also discussed about its various applications and limitations. This study offers perceptions about overcoming the challenges and accelerating the worldwide adoption of carbon-free and sustainable energy source for future generation.

Keywords : Green Hydrogen, renewable energy, carbon-free, sustainable.

Author : M. Chakraborty

Title : GREEN HYDROGEN: AN ALTERNATIVE CLEAN ENERGY FOR SUSTAINABLE FUTURE

Volume/Issue : 2025;02(07)

Page No : 611-616