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222 articles for “reliability”
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Study on the Root Cause of Fuel Tanker Truck Accidents in Nigeria: Reliability of Accidents Caused by Human Factors (HF)
Abstract: Accidents involving transportation of petroleum products by road are of high frequency in Nigeria, mainly because of overdependence on the tanker-truck system due to pipeline vandalism. We analyzed over 92 accidents involving tankers-trucks from 2014 to 2019. In this study, the analysis is done to examine the factors that caused the accident using accident records and petroleum distribution data from the Federal Road Safety Commission (FRSC). Petroleum tanker-truck accident reports …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 36–49 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Performance Evaluation and Structural Integrity Assessment of Critical Components in a Glass Vacuum Lifter Using Static-Structural and Modal Analysis
Abstract: Glass handling operations in construction, manufacturing, and industrial sectors require reliable lifting systems to ensure safe transportation while minimizing the risk of damage and improving operator safety. Vacuum lifters have emerged as an effective solution for handling large and fragile glass panels by generating secure holding forces through suction pads. The structural integrity and dynamic performance of critical components, particularly the suction pad and lifter arm, play a vital role …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 2, 2026 · pp. 1–17 Read article
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RIS-Assisted 6G Wireless Communication: BER, Security Gain and Multi-Metric Performance Analysis
Abstract: Reconfigurable Intelligent Surfaces (RISs) provide programmable control over wireless signal propagation and are emerging as a promising technology for enhancing the reliability, energy efficiency, coverage, and physical-layer security of sixth generation (6G) wireless networks. This paper presents a unified simulation-based performance evaluation of conventional SISO, 4G SIMO, and 6G multi-antenna communication systems, followed by an RIS-assisted reliability and security analysis under Rayleigh fading conditions. The simulation results demonstrate that antenna …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Solar-Based Battery Management System (BMS) And SOC Development
Abstract: The safety, efficiency, and longevity of batteries which are the most common with solar panels require a battery management system (BMS). Among the key functions of the BMS is to measure the State of Charge (SOC) of the battery which is a measure of the energy left in the battery. It is the exact value of SOC that prevents overcharging or over discharging of the battery. Furthermore, the research shows …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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A Comparative Study of Solar, Wind, and Biomass Energy for Decentralized Power Generation
Abstract: The need for clean, renewable energy sources is growing as decentralized power generation gains popularity due to its ability to provide reliable power to remote areas and reduce transmission losses. This paper compares three popular renewable energy sources—solar, wind, and biomass—evaluating their feasibility, efficiency, costs, environmental impact, and sustainability in the context of decentralized power generation. Findings indicate that while each energy source has distinct advantages and challenges, a hybrid …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 2, 2025 Read article
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Emergency Telecommunications: A Critical Necessity in Times of Crisis
Abstract: Emergency telecommunications play a crucial role in crisis management by enabling efficient coordination of rescue operations, ensuring the dissemination of critical information, and maintaining communication between authorities and the public. Whether during natural disasters, industrial accidents, or terrorist attacks, reliable communication systems are essential for an effective response. This paper examines the diverse functions of emergency telecommunications, emphasizing their significance, the technologies utilized, recent advancements, and the challenges that must …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller
Abstract: The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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A Quasi-experimental Study to Evaluate the Effectiveness of Spirulina with Lemon Juice on Anemia among Under-five Children in Selected Schools at Madurai, Tamil Nadu
Abstract: Anemia among under-five children is an important concern for the health authorities in India. Untreated anemia in children can have a serious effect on their growth. Spirulina is blue-green algae. It contains protein, iron, vitamins, and minerals. It is aimed at a quasi-experimental study to evaluate the effectiveness of spirulina with lemon juice on anemia among under-five children in selected schools at Madurai, Tamilnadu. Quasi-experimental pre-test post-test control group design …
Published in International journal of Nursing Science Practice and Research · Vol. 8, Issue 2, 2022 · pp. 50–61 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article