Category Archives: Uncategorized

Authors: S. D. Phad, M. C. Aher

Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known as Fuzzy theory enhances the risk management process. This approach not only addresses the challenges posed by inaccurate data but also provides a structured methodology for drawing conclusions. The application of Fuzzy theory is exemplified through a risk assessment of an ongoing residential construction project. By employing a systematic fuzzy model, expert judgment values are transformed into precise metrics. This paper focuses on the application of fuzzy logic models within the construction sector and highlights the benefits of this approach compared to traditional risk assessment methods.

DOI: http://doi.org/10.5281/zenodo.17976370

Published by: vikaspatanker

Authors: V. R. Deshmukh, S. M. Waysal

Abstract: The recruitment of skilled labor in the construction sector has consistently posed significant challenges. There exists a notable disparity between the high demand for specific labor skills from employers and the limited availability of such skills within the local construction workforce. This imbalance results in skill shortages that adversely affect construction projects, leading to issues such as substandard workmanship, diminished efficiency, reduced effectiveness, project delays, defects, the need for rework, material wastage, increased costs, and postponed project completions. This study presents a comprehensive analysis of the current labor skills and shortages within the construction market. It identifies the underlying factors contributing to these shortages and ranks them based on the opinions of respondents, thereby highlighting the significance of these factors. Furthermore, it aims to enhance awareness regarding professional skills in the industry and offers recommendations for their improvement to benefit the market. The unprecedented economic growth accompanied by widespread urbanization along with foreign direct investment has fueled a demand for skilled workers in India. The task of workforce development in India faces the changing realities of globalization and competitiveness, on one hand, and the need for inclusive growth on the other.

DOI: https://doi.org/10.5281/zenodo.17976315

Published by: vikaspatanker

Authors: Siddhi Pawar, Anuradha Raut, Tanuja Suryawanshi, Shravani Wadghare

Abstract: Gesture-controlled interfaces have emerged as an intuitive alternative to conventional touch and voice-based music control. Gesture recognition is becoming more and more popular for hands-free media interaction thanks to developments in computer vision and machine learning. This study describes a gesture-controlled music player system that can control media features like play, pause, next/previous track, and volume adjustment by interpreting real-time hand gestures. The project aims to deliver a touchless user experience, offering intuitive control of digital media via simple hand movements detected through a webcam.

Published by: vikaspatanker

Authors: Ms. Archana Bharti, Mr. Aashish

Abstract: This paper analyses Bihar’s economic growth trajectory during 2010–2025, with a focus on structural transformation across agriculture, industry, and services, and the constraints limiting the state’s development potential. Using data from the Bihar Economic Survey (2024–25), Government of India publications, India Brand Equity Foundation (IBEF), the Confederation of Indian Industry (CII) Vision Report (2024), and other secondary sources, the study finds that Bihar’s nominal Gross State Domestic Product (GSDP) expanded by more than 3.5 times over the past decade. However, despite this growth, the state continues to lag behind the national average in terms of per capita income, industrialisation, employment diversification, infrastructure development, and human development indicators. Inter-state comparisons and district-level analysis reveal significant regional disparities and uneven sectoral growth, reflecting structural imbalances within the economy. The paper identifies key bottlenecks related to industrial policy, investment climate, human capital formation, and agricultural productivity, and highlights policy levers necessary for achieving inclusive, sustainable, and broad-based economic transformation in Bihar.

DOI: http://doi.org/10.5281/zenodo.17975524

Published by: vikaspatanker

Authors: Akshay Jajpuriya, Dr. Vandan Tewari

Abstract: Occurrence of imbalanced classes in a dataset is one of the major issues in machine learning, as such datasets often yield biased models in favor of the majority classes in- stead of the minority ones. This paper discusses several tech- niques developed by previous researchers that help manage imbalanced datasets. This paper offers a study of resampling strategies aimed at balancing the distribution of classes using techniques such as oversampling, undersampling, and hybrid approaches. The main goal is to help researchers and prac- titioners choose appropriate strategies based on dataset char- acteristics and model requirements. By highlighting trends and real world applications, this survey serves as a guide for effectively tackling data imbalance problem.

DOI: http://doi.org/10.5281/zenodo.17975684

Published by: vikaspatanker

Authors: Praful Madne, Yash Nanwatkaer, Aary Mahadik, Agrim Khanna, Poonam Chavan

Abstract: The increasing digitalization of academic environments has created the need for efficient task management systems that support assignment distribution, submission tracking, and faculty–student interaction. UniTasker is a role-based task management application designed for diploma-level educational institutions. It provides dedicated interfaces for faculty and students, enabling assignment creation, submission, grading, and automated reminders. Although the current version focuses on assignment workflows, UniTasker is designed to support future extensions such as integrated attendance tracking. This survey paper reviews existing academic task management solutions, identifies gaps in current systems, and evaluates how UniTasker addresses these gaps through its architecture and features.

Published by: vikaspatanker

Authors: Dr. Ishwar Singh

Abstract: The NMR, IR and Electronic spectra studies on biologically active complexes of iron (II) have been reported. The bands observed and discussed assuming the molecule under CS point group symmetry. The electronic study in nujol phase has been calculated. The IR spectral studies of this compound have been discussed.

DOI: https://doi.org/10.5281/zenodo.17974049

 

Published by: vikaspatanker

Authors: Harsh Parashar, Kartik Sharma, Rehansh Mohta

Abstract: The increasing reliance on web-based systems for critical operations—such as financial transactions, healthcare data management, government services, and e-commerce—has augmented the need for reliable web security mechanisms. Modern cyberattacks increasingly exploit browser vulnerabilities rather than server-side weaknesses. According to recent research, over 72% of web- based attacks target insecure browser environments through injection, manipulation, session hijacking, or redirection techniques. This creates a significant attack surface where traditional backend security mechanisms are insufficient. This research paper provides a deep analysis of HTTP security headers, an often overlooked yet highly effective method of browser protection. When properly implemented, security headers can reduce the likelihood of browser-based attacks by more than 70%. The headers examined include Content- Security-Policy (CSP), Strict-Transport-Security (HSTS), X-Frame-Options, Referrer-Policy, X- Content-Type-Options, and Permissions-Policy. Each header's function, implementation method, security impact, and limitations are investigated. The research further incorporates threat modeling using the STRIDE framework, comparative analysis of websites with and without headers, real-world case studies, and AI-based automation concepts for detecting missing headers. The findings indicate that security headers are both low-cost and highly impactful, making them one of the most practical defenses for modern web applications. The paper concludes by proposing future AI-driven methodologies that can automatically analyze, predict, and configure optimal security headers.

Published by: vikaspatanker

Authors: Himanshu Kaspate, Tejas More, Atharv Sanas, Pruthviraj Sarade, Vijay Mohite

Abstract: Indian agriculture increasingly relies on mechanization to improve productivity; however, access to agricultural machinery remains a major challenge for small and marginal farmers due to high purchase costs, maintenance expenses, and unorganized rental practices. In recent years, several agricultural equipment rental and machine finding systems have been proposed to address these challenges through web and mobile-based platforms. This survey paper reviews and analyzes existing agricultural machinery rental systems, focusing on their architecture, functionalities, and technological approaches. The study examines key features such as equipment listing, location-based search, online booking, scheduling, payment mechanisms, and user feedback systems. A comparative analysis of existing research reveals significant limitations, including lack of real-time availability tracking, limited support for rural connectivity constraints, low digital literacy consideration, and absence of intelligent machine discovery mechanisms. Based on the identified research gaps and insights from the literature, this paper highlights the need for a centralized, farmer-friendly, and scalable machine finding platform. The survey provides the foundation for KhetSetGo, a proposed digital machine finding and rental application aimed at improving equipment accessibility, reducing operational costs, enhancing resource utilization, and supporting sustainable digital transformation in Indian agriculture.

Published by: vikaspatanker

Authors: Nikitha B

Abstract: Fluoride-rich industrial effluents originating from sectors such as metal smelting, fertilizer production, glass manufacturing, and battery industries pose significant environmental and public-health concerns due to the risk of dental and skeletal fluorosis. Precipitation, ion-exchange, and membrane filtration are examples of conventional treatment techniques that are less appropriate for large-volume or variable-composition industrial wastewaters due to their high operating costs, sludge production, fouling, or poor selectivity. Biosorption, which uses natural, waste-derived, or biologically modified materials, has become a viable, affordable, and sustainable method of removing fluoride. This review offers an extensive review of biosorbents reported for fluoride remediation, including engineered bio-chars, metal-loaded bio-composites, raw biomass (plant fibers, algae, and agricultural waste), and advanced hybrid materials like MOF-based bio-adsorbents. The majority of research reports Langmuir-type monolayer adsorption behavior, with pseudo-second-order kinetics suggesting chemisorption, particularly for biosorbents impregnated with metals. High removal efficiencies (up to ~90%) and significant adsorption capacities have been attained under ideal laboratory conditions, but problems still exist, including limited regeneration data, narrow effective pH ranges, high adsorbent modification costs, and a lack of validation using actual industrial effluents containing competing ions. This review identifies these knowledge gaps and makes recommendations for future research, such as mechanistic evaluation under actual wastewater matrices, pilot-scale continuous-flow studies, hybrid treatment processes, and regeneration optimization. As long as future studies concentrate on scalability, long-term stability, and practical application, biosorption has great potential as a cost-effective and ecologically friendly technique for fluoride removal.

DOI: https://doi.org/10.5281/zenodo.17962912

Published by: vikaspatanker