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117 articles for “real world condition”
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Modeling Deformation Mechanisms of Horseshoe Tunnel Excavation In Layered Ground Using Flac 3D
Abstract: In the modern era of civilization, the transportation sector plays a pivotal role in a nation's development. Efficient transportation networks are essential for economic progress, and tunnels are particularly valuable in this regard, as they help reduce travel time and fuel consumption. With growing interest in underground infrastructure, researchers are increasingly focusing on tunnel-related studies. This paper examines the deformational behavior of a horseshoe-shaped tunnel constructed in layered soil, subjected …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 46–61 Read article
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Enhanced Durability and Performance of Reinforced Concrete Beams through CFRP Wrapping: An Experimental Investigation
Abstract: Globally, maintaining and repairing aging reinforced concrete structures poses a significant challenge for the construction industry. Numerous structures built before modern earthquake-resistant design codes lack adequate seismic resilience. Additionally, evolving service requirements often necessitate strengthening existing structures to handle increased loads. While past research explored the effectiveness of various Fiber Reinforced Polymer (FRP) wrappings under specific conditions, limited studies have comprehensively compared the performance of Carbon Fiber Reinforced Polymer (CFRP) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 37–49 Read article
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Integrated Analysis of Stress Patterns in Transparent Polycarbonate Specimens: A Comparative Study between Photoelasticity and FEA Simulation for Compact Circular Testing
Abstract: Photoelasticity stands as a robust experimental technique within the realms of mechanics and materials science, offering a means to visually assess and analyze stress distribution within materials possessing transparency or translucency. This method, a non-destructive testing approach, involves the visualization of stress on a model subjected to a load, leveraging the unique property of materials known as birefringence or double refraction. The procedure entails the careful selection of a suitable …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 79–87 Read article
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Developing Techniques for Controlling Different Aspects of Text Generation Such as Tone and Contents
Abstract: Large Language Models (LLMs) have shown excellent text creation quality in Natural Language Processing (NLP). However, LLMs have to satisfy ever-more-complex standards in real-world applications. LLMs are supposed to meet specific user goals, like as mimicking specific writing styles or producing material with poetic richness, in addition to eliminating inaccurate or objectionable content. Controllable Text Generation (CTG) techniques were developed in response to these diverse demands. They guarantee that outputs …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 34–39 Read article
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Investigations of Mechanical Testing and its Effects on Lithium Ion Battery and Battery Pack for Electric Vehicle Application
Abstract: This research delves into the comprehensive study of mechanical testing methodologies and their consequential impact on the structural integrity, safety, and performance of Lithium-Ion batteries (Li-ion) and battery packs designed for electric vehicle (EV) applications. The investigation aims to enhance the understanding of mechanical stressors' influence on the reliability and safety of energy storage systems crucial for the sustainable advancement of electric mobility. The paper opens with mechanical testing protocols …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 35–49 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article
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Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications
Abstract: This study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 32–47 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: This study provides a comprehensive analysis of advanced nanostructured catalysts designed to enhance the efficiency of artificial photosynthesis for sustainable fuel production. We systematically evaluated a range of nanomaterials—including metal oxides, plasmonic nanoparticles, and carbon-based composites—to determine their effectiveness in converting solar energy into storable chemical fuels. The catalysts were synthesized via sol-gel, hydrothermal, and green methods, and their properties were thoroughly characterized using XRD, SEM, TEM, UV-Vis spectroscopy, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 175–181 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Impact of Climate Change on Economy of Nepal with Special Edges on Tourism Industry: Threats to Development and Stability
Abstract: Nepal is rich in biodiversity with Himalayan ecosystems and natural resources. Nepal's natural resources are a valuable and cultural asset for local communities, as well as supporting many of the country's industries. Safety is an important part of nature tourism and can attract or repel tourists. Climatic factors include temperature, precipitation, clouds, air, wind, and humidity. A key component of the industry's expansion is making traveler access safe and simple. …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 31–38 Read article
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A Critical Review of the Limitations of the Arithmetic Mean and the Robustness of the Median in Statistical Analysis
Abstract: Arithmetic mean is an extremely popular measure of central tendency used in statistical analyses, primarily because it is so easy to calculate and has many positive mathematical characteristics. However, when there are outliers, skewed distributions or heterogeneous spread of data, the reliability of the arithmetic mean diminishes greatly. This paper includes a critical review of the limitations of the arithmetic mean and an assessment of the robustness of the median …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Environmental Impact of Chlorantraniliprole in Bell Peppers: Residue Dynamics and Sustainable Practices
Abstract: Bell peppers (Capsicum annuum) are integral to global agriculture and nutrition due to their rich nutrient profile and culinary uses. To protect these crops from pest infestations, Chlorantraniliprole, a widely employed insecticide, has gained prominence. This research investigates the environmental fate of Chlorantraniliprole in bell pepper ecosystems, emphasizing its effects on soil, water quality, and overall ecological health. The study employs a multifaceted approach, conducting field experiments in the Sangli …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Literature Review and Research Gaps in Power Quality Enhancement: From Conventional Methods to Intelligent Solutions
Abstract: Power quality (PQ) has become a critical concern in modern electrical power systems due to the rapid integration of renewable energy sources, proliferation of power electronic devices, and increasing sensitivity of loads. This paper presents a comprehensive literature review and research gap analysis of power quality enhancement techniques, ranging from conventional approaches to emerging intelligent solutions. Traditional methods, including passive filters, capacitor banks, and synchronous condensers, have been widely employed …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 38–80 Read article
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Virtual Reality Horror Chronicles: Exploring Fear in Virtual Reality
Abstract: Virtual reality (VR) provides a distinctive and immersive experience, enabling users to engage in digital environments in an exceptionally realistic manner. It offers a sense of presence and immersion, making users feel as though they are physically present within a virtual world. Games can be single-player or multiplayer, and they often involve challenges, objectives, or narratives for players to engage with. Gaming is a powerful tool for promoting VR technology …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 32–43 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 39–50 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Aquaculture and Computers—Innovations and Applications
Abstract: Aquaculture, the cultivation of aquatic organisms for commercial purposes, has grown significantly over the past few decades due to the increasing global demand for seafood. The integration of computer technologies into aquaculture has revolutionized the industry, enabling more efficient management of resources, improved production processes, and enhanced sustainability. Computers and digital systems facilitate real-time monitoring of water quality, fish health, and feeding systems, while data analytics and artificial intelligence (AI) …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 70–85 Read article