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412 articles for “reliability”
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Groundwater Exploitation in the Base Complex of Ado Ekiti: Sustainability Issues and Future Directions
Abstract: Abstract Water is an essential and irreplaceable resource necessary for sustaining life, and in a diverse and populous country like Nigeria, the sustainable management of groundwater resources is of critical importance. This paper explores the current groundwater utilization practices in Ado-Ekiti, a rapidly growing urban area, and presents strategies aimed at ensuring the long-term sustainability of these vital resources. The study analyzes several key factors affecting groundwater resources, including geological …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 10, Issue 2, 2024 · pp. 21–27 Read article
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Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor
Abstract: This paper presents a comprehensive strategy for enhancing the low voltage ride-through capability in wind energy conversion systems by integrating phasor measurement units, Type-III wind turbine systems, and flexible AC transmission systems devices. The research focuses on double fed induction generators-based wind turbines, which constitute a significant portion of wind energy systems but face challenges in maintaining grid stability during voltage sags. As wind turbines are directly connected to the …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 15–40 Read article
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Application of Jaya and PSO Algorithms for Optimal Sizing of Renewable Energy Sources in Power Systems
Abstract: The deregulation and privatization of the electrical sectors in recent years have caused the distribution systems to run closer to their load capacity limit. Due to the increased power loss resulting from this, the distribution system now operates at a higher voltage than the current transmission networks. For electric power system networks to be more reliable, efficient, and cost-effective, distributed generation must be positioned and sized optimally. Allocation helps minimize …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Analysis and Design of Structural Components in Offshore and Marine Engineering
Abstract: Offshore and marine engineering play a pivotal role in the global energy market, particularly in the oil and gas industry. The structural integrity of components in such challenging environments is critical, as they are exposed to harsh conditions including high winds, waves, and corrosion. This research paper aims to explore the analytical and design principles for structural components used in offshore and marine engineering, emphasizing materials, loading conditions, failure mechanisms, …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Building a New Foundation: The Impact of RERA on India's Economic Landscape
Abstract: On the day it took effect in India in 2016, the Real Estate (Regulation and Development) Act (RERA) caused a stir in the country's economic politics. Real Estate Regulatory Authority (RERA) looks to regulate the industry, ensure transparency, protect home buyers’ interests and improve investor confidence. This has resulted in increased consumer trust since homebuyers are able to access reliable information, and recourse mechanisms in case of disputes. RERA's provisions …
Published in International Journal of Housing and Human Settlement Planning · Vol. 10, Issue 2, 2024 · pp. 15–26 Read article
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Quantification of Morphine, Codeine, and Dihydrocodeine in Carissa carandas Leaves and Fruit Using LC-MS/MS: The Impact of Drying on Alkaloid Concentration
Abstract: This study presents a method for quantifying morphine, codeine, and dihydrocodeine in Carissa carandas (Karonda) leaves and fruit, employing morphine-D3 as an internal standard (1 µg/mL) to ensure accuracy. Samples are prepared at 25 ng/mL and extracted using solvent techniques, with an optional solid-phase extraction step to mitigate matrix effects. Quantification is conducted via LC-MS/MS, providing robust sensitivity. Results show that drying concentrates these alkaloids, particularly morphine in fruit, due …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 49–61 Read article
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The Critical Role of Renewable Energy in Mitigating Climate Change and Promoting Sustainable Development
Abstract: Renewable energy plays a crucial role in mitigating climate change by reducing greenhouse gas emissions, enhancing energy efficiency, and promoting sustainable development. This research explores how renewable energy sources like solar, wind, hydro, and geothermal can substantially decrease dependence on fossil fuels, the primary contributors to carbon emissions. Not only does transition to renewable energy cut down the rising global temperatures, but also helps achieve energy security, reduce air pollution …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 12–21 Read article
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Biotechnological and Biomaterial Innovations for Self-Care Management of Diabetes: A Study on Patient Knowledge and Attitude in Tripura
Abstract: Diabetes mellitus is a global epidemic, with 537 million individuals affected worldwide in 2021, projected to rise to 643 million by 2030 without preventive measures. In India, one in seven diabetic adults resides, and diabetes prevalence rose from 9.3% in 2018 to 9.6% in 2022, projected to reach 10.4% by 2030. This study focused on evaluating how well diabetes patients in Tripura understand and feel about managing their self-care. Conducted …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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EV Charging Station Battery Energy Storage Systems for Autonomous Frequency Regulation
Abstract: As the demand for EVs grows, integrating BESS in charging stations offers an opportunity to manage energy fluctuations in the grid. This research investigates the potential of using these BESS to regulate frequency autonomously, enhancing grid stability BESS-based autonomous frequency regulation at EV charging stations has become a state-of-the-art power system management technique. These stations can actively maintain and control grid frequency by utilizing BESS, which guarantees a more dependable …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 Read article
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An Evaluation of the Impact of Horticultural Therapy on Depression in Elderly Individuals Living in Assisted Living Facilities
Abstract: Objectives: To evaluate the degree of depression. The study aimed to evaluate the effects of horticultural therapy on depression and to explore the relationship between depression levels and selected demographic variables. Methods: A quantitative evaluative survey approach was employed, utilizing a quasi-experimental one-group pre-test–post-test design. The study focused on elderly individuals living in old age homes. A simple random sampling method was used to recruit a total of 60 participants. …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 2, 2024 · pp. 26–41 Read article
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Harnessing the Power of CRISPR in Animal Biotechnology
Abstract: CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology has revolutionized genetic engineering, ushering in a new era of advancements in biotechnology. Derived from the adaptive immune system of bacteria, the CRISPR-Cas9 system offers unparalleled precision and efficiency in genome editing. Its applications in animal biotechnology are extensive, encompassing livestock improvement, disease resistance, and biopharmaceutical production, as well as environmental conservation. In livestock, CRISPR has enabled the enhancement of desirable traits, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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Solar Cell Powered Sensors for Iot Applications
Abstract: The Internet of Things (IoT) is one of the most revolutions in a number of industries, where the devices are interconnected to collect, analyze, and act on data in real-time. This network of smart devices is transforming how we live, work, and interact with our environment. The key components of IoT include sensors, communication networks, data processing units, and actuators. Sensors collect real-time data from the environment, which is then …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Advancing Circular Economy in the Water Sector: A Comprehensive Review and Assessment
Abstract: ABSTRACT The unprecedented pace of urbanization and the rapid depletion of natural resources have prompted policymakers and industry leaders to transition from the traditional linear “take-make-use-dispose” model to a more sustainable and regenerative approach known as the Circular Economy (CE). The CE model emphasizes resource conservation through strategies that prioritize reducing, reusing, recycling, and recovering resources, aiming to minimize waste and extend the lifecycle of materials within economic systems. This …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 23–33 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article