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612 articles for “algorithm design”
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An IoT Based Novel Approach for Prevention of Road Accidents due to Extreme Weather Conditions using L-BOT
Abstract: As more and more highways are being developed by the government, cities are getting connected and more people are commuting through highways; due to which there are fair chances of increase in the number of accidents on such highways, especially in extreme weather conditions (fog and heavy rain). From the statistics of the Ministry of Road Transport and Highways, India, it can be said that almost 50 people die, and …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 15–24 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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GA with Modifications for Efficiently Solving Number Puzzles
Abstract: The previous research on the genetic algorithm (GA) applications especially for puzzle solving focuses on the GA capability for solving the puzzles of differing difficulty levels viz. magic square, jigsaw, sliding tile, crossword, path finding and of similar type. But this work attempts to solve logical number puzzles of exponential and factorial complexity using conventional GA with some important modifications depending on the puzzle type. The overall modifications done in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 1–7 Read article
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A Real Time Authentication Framework Using Multi-Model Biometrics
Abstract: Online signature as well as finger print verification system is one of the most reliable, fast and cost effective tool for the user authentication. This work examines the implementation of the embedded system for the online signature as well as finger print verification based on field programmable gate arrays. The work describes the complete biometric algorithm for signature and finger print verification based on three stages. Both the inputs are …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 80–86 Read article
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Multi-way Protection Scheme to Handle Multiple Failures for Cost-Efficient Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber Wireless (FiWi) access networks prove themselves as promising broadband access networks. These networks enable users to access services in “Anywhere-Anytime” fashion. FiWi networks offer higher bandwidth and better flexibility at much lower price than passive optical network. As FiWi supports high data rate (typically about Gigabits per second), any failure may results in huge data loss. Therefore, to protect such loss of data, we need to design a more …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 3, 2015 · pp. 1–15 Read article
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A Review on the Intelligent Schemes for Automatic Generation Control in Modern Power System
Abstract: AbstractAutomatic generation control (AGC) is one of the important control problems in the design and operation of interconnected power system, and is gaining popularity today due to the growing size, varying structure, upcoming renewable energy sources and new uncertainties, and complexity of power systems. AGC system requires increased intelligence and flexibility to guarantee balance between load and generation. The modern AGC systems surely must be intelligent, and should be capable …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 1–4 Read article
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Modeling the Novel Coronavirus Disease (COVID-19) as Hidden Markov Chains
Abstract: The Hidden Markov Model has over the years been an appropriate method for modeling diseases such as HIV AIDS, heart failure, and so on. With the ongoing pandemic affecting Nigeria by being responsible for 2,745 death cases out of 207,616 confirmed cases as of October 10, 2021, the need to study an important parameter of COVID-19, the case fatality rate by building a model and estimating the case fatality rate …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 4, 2022 Read article
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Traffic Aware Coloring based Scheduling Scheme for Mobile Wireless Body Area Networks
Abstract: AbstractEvolution in the wireless technology and supportive infrastructure offer innovative opportunities for healthcare and fitness monitoring applications without restricting activities of the user. The wireless body area networks (WBAN) have ability to bring revolution in the healthcare field. In spite of this ability WBAN have some technical challenges that need to be researched. The biggest challenge in WBAN is to provide quality of service. Many scheduling techniques have been proposed …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 8–11 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Investigative Study of Adaptive Fault Tolerance in Optical Networks
Abstract: Optical networks have become the backbone of modern telecommunications infrastructure, enabling high-speed data transmission across global networks. However, these networks face significant reliability challenges due to component failures, signal degradation, and environmental factors. This investigative study examines adaptive fault tolerance mechanisms in optical networks, focusing on emerging technologies and methodologies that enhance network resilience. The research analyzes various fault detection techniques, including machine learning-based approaches, self-healing protocols, and dynamic reconfiguration …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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Diet Mate: A Personal Nutrition and Health Tracking App
Abstract: The rising prevalence of chronic health conditions, including obesity, diabetes, and hypertension, has become a significant global health challenge. These conditions are often linked to poor dietary habits, which makes diet management a critical component of disease prevention and management. Traditional dietary approaches, such as generic meal plans or standard consultations with nutritionists, often fail to address the unique and evolving needs of individuals, especially those with specific health concerns. …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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Modelling & Simulation Of Fuzzy Logic Based Controller For Energy Storage System
Abstract: AbstractThe problem of transient stability in multimachine model is a semi-infinite optimization problem for nonlinear phenomenon in network of energy storage system. As this involves several sets of differential equations and algebraic constraints; therefore the application of several mathematical programming techniques won’t be enough to solve the problem. In the past several ad hoc algorithms had been proposed. This study presents a new methodology to restore the transient stability by …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 9–15 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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Mammographic CADe And CADx for Identifying Microcalcification Using Support Vector Machine
Abstract: The second most frequent cause of death and disease in women worldwide is breast cancer. Effective detection is a crucial element in the successful treatment of cancer. X-ray mammography is the majorityfrequent method for breast cancer. Screenings because of its convenience, portability, and cost-effectiveness. The CADe and CADx techniques were designed to assist radiologists in improving the detection and screening of breast cancer. The goal is for breast cancer to …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 9–16 Read article
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Driver Drowsiness Detection using Face Monitoring and Pressure Measurement
Abstract: Fatigue driving is the driver, after long periods of continuous driving, experiences mental and physical functional disorder. The international statistics shows that it is one of the major causes of accidents in the world. Detecting the drowsiness of the driver can issue timely warning that could help in preventing many accidents. In this research a system is designed to detect the drowsiness of a driver through face monitoring techniques and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 12–18 Read article