Volume 14 | Issue 2 |

 Abstract

Secure Vision AI addresses the growing challenge of detecting violent and suspicious activities in video surveillance systems. Traditional monitoring methods rely heavily on human observation, which often leads to delayed responses and missed incidents. This work presents a deep learning-based real-time violence detection framework that combines Convolutional Neural Networks (CNN) for spatial feature extraction with Long Short-Term Memory (LSTM) networks for temporal analysis. Live video streams are processed, pre-processed, and analyzed to identify violent actions with high accuracy. The system generates instant alerts and securely stores detection results using Supa base for future analysis. Experimental evaluation demonstrates that the hybrid CNN-LSTM model outperforms individual models in terms of accuracy, precision, recall, and F1-score, making it suitable for real-time surveillance applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Secure Vision AI, Violence Detection, CNN, LSTM, Deep Learning, Real-Time Surveillance, Computer Vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ultra-high-performance concrete (UHPC) is a revolutionary construction material characterized by compressive strengths exceeding 150 MPa and exceptional durability. However, its widespread commercial application is hindered by the high cost of its components, particularly the specialized steel fibers required for ductility. This research explores a sustainable and cost-effective alternative: the use of macro fibers recycled from waste glass fiber-reinforced polymer (GFRP) composites, derived from decommissioned wind turbine blades. This study investigates the mechanical properties, workability, and environmental impact of varying concentrations of recycled GFRP macro fibers (Type I: 30mm and Type II: 60mm) within a UHPC matrix. Experimental evaluations include free mini-slump tests, compressive strength tests, and four-point bending tests. Results reveal that while fiber addition slightly reduces workability and compressive strength (by ~21.8%), it yields a 1.5-fold increase in flexural strength and a remarkable 46.9-fold increase in toughness compared to plain UHPC. This research provides a pathway for waste valorization and the production of eco-friendly, high-performance infrastructure materials.

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 Keywords

UHPC, Recycled GFRP, Sustainable Construction, Waste Valorization, Flexural Toughness, Wind Turbine Waste, Circular Economy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Climate change has emerged as one of the most pressing global challenges, reshaping ecosystems, livelihoods and patterns of human survival, particularly in vulnerable coastal regions. Literary representations of climate-affected spaces offer critical insights into how communities negotiate environmental uncertainty and adaptation. This paper examines Amitav Ghosh's The Hungry Tide (2004) through the conceptual framework of climate change adaptation, arguing that the novel anticipates contemporary climate discourse by portraying adaptive survival strategies in a fragile, climate-sensitive ecosystem. Set in the Sundarbans, a deltaic region increasingly vulnerable to rising sea levels, cyclones and ecological instability, the novel presents adaptation not as a technological solution but as a lived, cultural and ethical practice. Drawing on ecocritical and postcolonial methodologies, this study explores how marginalized communities adapt to environmental uncertainty through indigenous knowledge, mobility and negotiated coexistence with non-human forces. The paper also critiques state-led conservation and development models that fail to account for climate vulnerability and social justice. By foregrounding human-animal conflict, displacement and ecological precarity, The Hungry Tide reveals how climate change disproportionately affects the poor while privileging institutional power. The paper argues that Ghosh's narrative reframes adaptation as an ethical process rooted in humility, resilience and interdependence rather than control. In doing so, the novel emerges as an important literary intervention that deepens our understanding of climate adaptation in postcolonial contexts, where environmental change intersects with historical marginalization and political exclusion.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate Change Adaptation, Eco-literature, Sundarbans, Postcolonial Ecocriticism and Environmental Vulnerability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is focused on enhancing bike security, addressing common issues associated with traditional key lock mechanisms, such as key loss or duplication, which can increase the risk of bike theft. To combat these challenges, we have developed a "smart bike" system that provides next-level security using a fingerprint sensor. Users can easily start the bike by scanning their fingerprints, with the system capable of storing up to 127 fingerprint images. If a recognized fingerprint is scanned, the bike will power on; conversely, an incorrect scan will activate a buzzer and send an alert to the bike owner, indicating unauthorized access attempts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Bike System, Intelligent Vehicle Access, Multi-Level Security System, Unauthorized Access Prevention, Real-Time Emergency Communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper focuses on the various ethnic identities in North East India as well as the emergence of socio-religious movement where politically they have to campaign and fight for their land, language, culture and so on. With the existence of diverse culture and plurality in nature culturally and geographically, the people in North East face several challenges and are in desperate need for their revival and progress of their own identities. They face the threat from the dominant of the plain tribes and religion which could become a threat to their ancestral identities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Zeliangrong Heraka, Seng Khasi, Meitei, Indianness, ethnicity, Hinduisation, sanskritisation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Samajik Samrasta Ka Aadarsh : Rahim Ka Drishtikon

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Samajik Samrasta Ka Aadarsh : Rahim Ka Drishtikon

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cash management is a crucial element of financial management that determines the operational efficiency of Self Help Groups (SHGs). Adequate availability of cash and its timely utilization influence the successful implementation of developmental programmes undertaken by SHGs. The present study examines the cash management practices of Self Help Groups in Bangalore Urban District and analyses their impact on programme implementation. The study is based on primary data collected from 120 SHG members through a structured questionnaire. Statistical tools such as mean, standard deviation and correlation analysis were employed for data analysis. The findings reveal that effective cash planning, timely inflows and proper utilization of cash significantly enhance programme implementation in SHGs. The study concludes that strengthening cash management practices is essential for improving the performance and sustainability of SHGs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cash Management, Programme Implementation, Financial Management, Self Help Groups, Bangalore Urban

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Email spam remains one of the most persistent challenges in modern communication systems, with traditional machine learning approaches struggling to adapt to evolving spam tactics. This paper proposes Adaptive Constructive Learning with Feature Importance Weighting (ACLFIW), a novel approach that combines dynamic confidence thresholds, intelligent feature selection, and temporal pattern recognition to create a robust, evolving spam detection system. Our experimental results demonstrate that ACLFIW achieves 100% accuracy on test data while maintaining computational efficiency through selective feature expansion and intelligent pruning. Comparative analysis with traditional approaches (Naive Bayes, SVM, Random Forest) shows 15-22% improvement in adaptability metrics and significantly reduced model retraining overhead. The system's ability to detect emerging spam threats and maintain performance under concept drift makes it particularly suitable for production environments requiring real-time adaptation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Constructive Learning, Feature Importance Weighting, Spam Detection, Concept Drift, Adaptive Machine Learning, Temporal Pattern Recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The sustainability of Self Help Groups (SHGs) largely depends on the effective management and circulation of funds. Flow of funds analysis helps in understanding the sources, utilization and movement of financial resources within SHGs and assists in estimating future fund requirements. The present study examines the flow of funds and its impact on the financial sustainability of Self Help Groups in Bangalore Urban District. The study is based on primary data collected from 120 SHG members using a structured questionnaire. Statistical tools such as mean, standard deviation, ANOVA and descriptive analysis were used. The findings reveal that efficient fund flow management, supported by regular savings and bank linkage, enhances financial sustainability and planning capability of SHGs. The study concludes that systematic flow of funds analysis is essential for strengthening the long-term viability of SHGs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flow of Funds, Financial Sustainability, Fund Management, Self Help Groups, Bangalore Urban

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Self Help Groups (SHGs) play a vital role in promoting financial inclusion and socio-economic empowerment of women in India. Effective financial management is essential for the sustainability and performance of SHGs, particularly in urban and semi-urban regions. The present study examines the financial management practices of Self Help Groups in Bangalore Urban District with special reference to accounting practices, internal control mechanisms and financial decision-making processes. The study is based on both primary and secondary data. Primary data were collected from 120 members of selected SHGs using a structured questionnaire. Statistical tools such as mean, standard deviation, correlation analysis and ANOVA were used for data analysis. The findings reveal that proper accounting systems, effective internal controls and participative financial decision-making significantly contribute to the overall financial effectiveness of SHGs. The study concludes that strengthening financial management practices enhances sustainability and improves the economic outcomes of SHGs.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self Help Groups, Financial Management, Accounting Practices, Internal Control, Bangalore Urban

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Creative Commons Attribution 4.0 and The Open Definition