Category Archives: Uncategorized

Authors: Mahmud Danladi, Salihu Sarki Ubayi, Mahmud Danladi

Abstract: The construction industry is highly susceptible to uncertainties and risks that significantly influence project delivery in terms of cost, time, quality, safety, and sustainability. This study examined the analysis of risk management in project construction within the Nigerian construction industry. Specifically, the study identified the types of risks associated with project construction, examined the factors affecting risk management, and evaluated the effects of risk management on construction project performance. A descriptive quantitative research design was adopted. Data were collected through structured questionnaires administered to 80 construction engineers involved in risk management practices, out of which 74 valid responses were retrieved, representing a response rate of 92.5%. Descriptive statistical tools including frequency distribution, percentage analysis, mean item score, and standard deviation were used for data analysis. The findings revealed that inadequate site investigation, inadequate specification, contractor’s experience, weather implications, natural disasters, new technology, and shortage of resources were among the most significant risks affecting construction projects. Resource availability, project complexity, and time compression were identified as the major factors affecting risk management implementation. Furthermore, the study established that risk management strongly affects project cost, completion time, productivity, project quality, health and safety, and environmental sustainability. The study concluded that effective risk management is essential for successful construction project delivery and recommended proper site investigation, adequate resource allocation, experienced workforce engagement, and proactive risk management strategies to improve project outcomes in Nigeria.

DOI: https://doi.org/10.5281/zenodo.20324799

Published by: vikaspatanker

Authors: Sweta Pandey, Meentu Grover

Abstract: Digital payment systems have transformed the way people conduct financial transactions in their daily lives. The rapid growth of internet technology, smartphones, and financial technology has increased the adoption of digital payments across the world. In India, digital payment methods such as Unified Payments Interface (UPI), mobile wallets, internet banking, debit cards, and credit cards have become highly popular due to convenience, speed, and security. This paper examines the impact of digital payments on daily life and analyses how cashless transactions have influenced consumer behaviour, business activities, and economic growth. The study highlights the advantages of digital payments, including faster transactions, financial inclusion, transparency, reduced dependency on cash, and improved online shopping experiences. It also discusses challenges such as cyber fraud, privacy concerns, internet dependency, and lack of digital literacy among certain sections of society. The paper concludes that digital payments have significantly improved the efficiency and convenience of daily financial activities and will continue to play an important role in the future digital economy.

Published by: vikaspatanker

Authors: Priya kumari, Sohail Verma

Abstract: Job satisfaction is one of the most important aspects influencing employee performance, mental well-being, and overall quality of life. In the modern competitive work environment, employees often face workload pressure, stress, long working hours, and work-life imbalance, which directly affect their domestic and family life. This study examines the relationship between job satisfaction and employees’ domestic life and analyses how workplace conditions influence family relationships, personal happiness, and social well-being. The paper highlights factors such as salary, working conditions, job security, organizational support, work-life balance, and employee recognition in determining job satisfaction levels. The study also discusses how satisfied employees maintain healthier family relationships, lower stress levels, and improved domestic harmony, whereas job dissatisfaction may lead to emotional stress, conflicts, and reduced quality of life at home. The findings suggest that organizations should focus on employee welfare, flexible work policies, and supportive work environments to improve both job satisfaction and domestic well-being.

Published by: vikaspatanker

Authors: Assistant Professor. Sukanya H N, Adithya N, Akash H S, Farazulla Khan, G P Chinmayaradhya

Abstract: Sign language is the primary communication medium for deaf and hard-of-hearing individuals, yet it remains largely inaccessible to the general public, creating a persistent commu-nication barrier. This paper presents a real-time sign language detection system that leverages computer vision and machine learning to recognise hand gestures and convert them into readable text or speech with minimal latency. The proposed framework follows a structured processing pipeline comprising data acquisition, key-frame extraction, skin-colour-based hand segmentation, face-region elimination, morphological filtering, and noise reduction. Discriminative spatial features are derived using fuzzy triangular membership functions, and gesture recognition is performed by a K-Nearest Neighbour (Mediapipe) classifier trained on a self-collected dataset of two-handed dynamic signs. For real-time operation, the system employs the MediaPipe library for hand-landmark detection and a Convolutional Neural Network (CNN) trained with TensorFlow/Keras for gesture classification. Experimental evaluation demonstrates an overall gesture recognition accuracy of approximately 92%, with a high-confidence detection of 99.6% for the “Peace” gesture and an average detection-plus-translation latency of approximately 150 ms per frame. The system requires no specialised sensors or gloves, making it cost-effective and practically deployable in educational institutions, healthcare facilities, and public service environments. Results confirm the feasibility and effectiveness of the proposed approach as an assistive communication solution for hearing-impaired individuals.

Published by: vikaspatanker

Authors: Pratyush Ranjan Sahu, Nishith Das

Abstract: The incorporation of agro-industrial residues like spent mushroom substrate (SMS) into nutrient management strategies provides a sustainable pathway for intensive agriculture. A field experiment was carried out during the Kharif of 2025 at GIET University, Odisha, to assess the impact of SMS-based compost supplemented with zinc (Zn), boron (B), and neem cake on the physiological, yield, and economic indices of maize (Zea mays L., var. VNR 4226). Utilizing a Randomized Block Design (RBD) with eight treatments and three replications, the study revealed that integrating SMS with micronutrients and the Recommended Dose of Fertilizers (RDF) significantly augmented crop performance. Treatment 8 (T8) (SMS@7t/ha + dried plant debris@2t/ha + cow dung@1t/ha + 5% Zn + B + RDF) delivered the highest plant stature (217.47 cm), maximum dry matter accumulation (237.63 g/plant), and superior yield attributes. This resulted in an exceptional kernel yield of 8.17 t/ha, a 175% increase over the FYM control. Soil chemical properties, notably available phosphorus, improved considerably under SMS regimes. Economically, T8 yielded the highest net monetary returns (₹1,18,642/ha), whereas T6 (RDF + 5% neem cake) optimized the Benefit-Cost ratio (2.38). These findings advocate for the integrated use of fortified SMS compost to enhance maize productivity and soil health.

Published by: vikaspatanker

Authors: Jayanth L, Kaviraj M Kumkumgar, Kuldeep Raj M S, Madhuraj H R, Dr. Mohammad Rafi. H. Kerur

Abstract: This project (Phase 2) presents the fabrication of an innovative, portable noodle making machine aimed at providing a cost-effective and user-friendly solution for small-scale and home-based noodle production. Traditional noodle machines tend to be expensive, and require considerable expertise, limiting their accessibility especially for households and micro-entrepreneurs. To address this gap, the proposed machine utilizes a lightweight frame built from available materials, with food-grade stainless steel components for all parts in contact with the dough. The core mechanism involves a threaded extrusion system powered by a small electric motor, which efficiently transforms freshly prepared dough into uniformly shaped noodles. The process comprised conceptual sketches, noodle quality, and portability. Test results demonstrate consistent noodle extrusion with ease of operation and quick cleaning, making it suitable for diverse environments including homes, street vendors, and small eateries. The modular construction further enhances maintainability and transport convenience. This project not only offers a practical fabrication approach but also supports entrepreneurial activities by enabling affordable fresh noodle production. Overall, the project contributes an innovative, accessible, and sustainable noodle-making solution that promotes food variety and small business empowerment.

Published by: vikaspatanker

Authors: Harshita Sharma, Saniya, Dr. Rishabh Bhardwaj

Abstract: Heavy metal contamination in groundwater represents a critical environmental and public health challenge globally. This study assessed the concentrations and spatial distribution of four priority heavy metals—Nickel (Ni), Arsenic (As), Mercury (Hg), and Uranium (U)—in water sources across Muzaffarnagar and Shamli districts of western Uttar Pradesh, India. Water samples were collected from diverse sources including residential borewells, hand pumps in agricultural areas, and surface water bodies during 2025-26. Physicochemical parameters (pH, hardness, dissolved organic carbon, chemical oxygen demand) and heavy metal concentrations were analyzed using standardized methods including EDTA titration, UV-persulfate oxidation, and atomic absorption spectroscopy. Results revealed that Nickel concentrations ranged from 0.12 to 0.35 mg/L (50% exceeding WHO limit of 0.07 mg/L), Arsenic from 0.005 to 0.030 mg/L (75% exceeding 0.01 mg/L limit), Mercury from 0.003 to 0.007 mg/L, and Uranium from 0.01 to 0.05 mg/L (50% exceeding 0.03 mg/L limit). Surface water and urban groundwater showed the highest contamination levels. The findings indicate significant anthropogenic influence from industrial effluents, agricultural runoff, and domestic sewage, compounded by natural geogenic sources. Statistical analysis revealed moderate correlations between metals, suggesting common mobilization mechanisms. This study provides critical baseline data for water resource management and highlights the urgent need for monitoring, treatment infrastructure, and public health interventions in the study region.

DOI: http://doi.org/10.5281/zenodo.20322000

Published by: vikaspatanker

Authors: Sanju, Rahul Kumar Jha, Shivam Kumar, Sumit kumar, Ashish Juneja

Abstract: This study focuses on developing eco-friendly fly ash bricks using silica fume and alkali activators (NaOH and Na₂SiO₃) as a sustainable alternative to traditional clay bricks. The objective is to utilize industrial waste effectively while reducing environmental degradation caused by clay brick production. Fly ash was used as the primary material, with silica fume added to enhance mechanical strength and alkaline chemicals to initiate geopolymerization. Bricks were prepared by mixing materials, molding, and proper curing. Tests including compressive strength, water absorption, and visual inspection were conducted. Results indicate that alkali-activated fly ash bricks with silica fume exhibit superior strength and durability compared to conventional clay bricks. This approach promotes waste utilization, low pollution, and energy-efficient construction, offering a promising solution for sustainable building practices.

Published by: vikaspatanker

Authors: Purushotam Naidu k, R.Srilatha, S.Gayathri, U.N. Harshitha, P. Siri Chandana

Abstract: Urban population growth creates new challenges related to civic infrastructure, and there is a need for efficient and smart complaint management systems. This paper describes the SocioSphere, which is an AI-based civic issue management platform that uses Natural Language Processing (NLP), machine learning, and high-performance web technologies to automatically process and route complaints. A report verification module (Fake/Real) built with Logistic Regression and engineered textual features can filter out spam and low-quality complaints. Valid complaints use a transformer model (RoBERTa) to identify the multi-class categories to which the complaint belongs. Furthermore, we have added a method of estimating the urgency of a complaint through the use of VADER-based sentiment analysis and heuristics for engagement, thus allowing for priority-based decisions. FastAPI is used to develop the backend API layer, offering high-speed (asynchronous/low latency) performance for model inferences and data processing. Complaints will be stored in the system's database and dynamically routed to appropriate authorities for final resolution. The experimental results demonstrate that the approach is effective for both classification and validation, as well as improving transparency and reducing manual work through the use of data-driven governance within smart city systems.

DOI: https://doi.org/10.5281/zenodo.20321890

Published by: vikaspatanker

Authors: Ullas M K, Vishal Kumar B N, Yashwanth A S, Dr. S V. Anil Kumar, Dr. S V. Anil Kumar

Abstract: The Agri Bot Solar Tracker is a smart agricultural robot designed to support modern farming through automation and renewable energy. It performs agricultural tasks such as seed sowing and field monitoring using sensors to measure soil moisture, humidity, and temperature. The system uses Wi-Fi communication for remote monitoring and control through a monitoring and control station. Powered by solar energy with an integrated solar tracking system, the robot maximizes energy efficiency by adjusting the solar panel according to sunlight direction. This sustainable system reduces manual labor, improves operational efficiency, and promotes eco-friendly farming practices.

Published by: vikaspatanker