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695 articles for “Optimized power”
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Analysis of the Output Power in Offshore Bladeless Vibrational Wind Turbines
Abstract: This work focuses on studying and analyzing the power generation in offshore bladeless vibrational wind turbines. In previous work, we developed detailed research about the vibrational wind turbine design and configuration; in this new work, we analyze the energy supply from this type of turbine to achieve a better understanding of the behavior and potential of bladeless vibrational wind turbines (BVWT) as an additional power source in offshore wind farms. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 12–23 Read article
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Smart Crop Recommendation Using IoT Sensor for Precision Agriculture
Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Performance Analysis and Optimization of a 1550 nm MQW VCSEL by Varying Differential Gain and Injection Current
Abstract: AbstractIn this work, the performance characteristics of a 1550 nm top emitting multi quantum well (MQW) vertical cavity surface emitting laser (VCSEL) using AlGaInAs/InP are presented. Using this material the peak material gain is obtained as 1652.3 cm-1. A high performance designed VCSEL is obtained with the optimized value of differential gain and injection current. The optical output power of 31.37 dBm and the resonance frequency of 2.5 GHz are …
Published in Trends in Opto-electro & Optical Communication · Vol. 3, Issue 3, 2013 · pp. 31–37 Read article
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Design And Optimization Of High-Speed Array Multiplier
Abstract: An array multiplier is a digital circuit used for the rapid multiplication of binary numbers. It employs an array of logic gates to generate partial products concurrently, significantly enhancing speed. The array structure divides the multiplication task into smaller, parallel processes, allowing for efficient parallel processing of multiple bits. Each cell within the array manages specific bit-level multiplications, and their results are summed to produce the final product. This parallel …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Algorithmic Ecology: A Framework for Achieving Carbon-Neutrality in Global Data Infrastructure
Abstract: The exponential growth of digital infrastructure has positioned data centers as critical enablers of the global digital economy, yet their environmental impact has become a paramount concern. Data centers consumed approximately 205 TWh globally in 2018, representing about 1% of global power usage with a steady 6% growth trend. This review synthesizes current literature on green algorithms and sustainable data center technologies, examining the intersection of artificial intelligence, machine learning …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 33–48 Read article
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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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Sustainable Computing: Pioneering Energy-Efficient Innovations for a Greener Digital Future
Abstract: Sustainable computing is an emerging field that focuses on developing environmentally responsible and energy-efficient computing technologies. As the global demand for computing power continues to rise, so does the environmental impact of data centers, hardware manufacturing, and energy consumption.This article explores the key principles of sustainable computing, including energy-efficient hardware design, green data centers, and the role of software optimization in reducing energy consumption. We discuss the importance of adopting …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 32–45 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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A Review of Genetic Algorithm for Optimization of Hybrid Protocols for Wireless Sensor NetworkA Review of Genetic Algorithm for Optimization of Hybrid Protocols for Wireless Sensor Network
Abstract: AbstractWireless sensor network is a well-known technology. Resent development in the wireless technology open gates for making an efficient wireless network with no or very infrastructure. Wireless sensor network uses battery power to energize sensor nodes. Due to small size of sensor node, we cannot put big battery that is why it is very important to optimize the protocols to save energy. There are various techniques to optimize the WSN …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 1–5 Read article
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Thermal-hydraulic Behaviour of Corrugated Pipe Configurations
Abstract: Heat exchangers have a wide range of applications and can be found in a variety of different industries, including chemical reactors, nuclear power plants, and solar energy generation. It is required to do thermal optimization on heat exchangers in order to decrease the size, cost, and energy requirements of the heat exchangers while simultaneously improving their capacity to transmit heat. In these types of businesses, heat exchangers frequently make use …
Published in Journal of Polymer & Composites Read article
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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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Electric Vehicle Induction Motor Automated Drive System with Smart Battery Monitoring Performance for Range Exchanger
Abstract: This study describes the development of a model of an electric vehicle (EV) with a smart battery-powered inverter-controlled induction machine drive system. The computer simulation model in MATLAB Simulink is used to estimate the energy and power requirements of vehicles over standard driving cycles under various driving conditions. Here, using smart logic for battery performance, factors affecting range and energy use, helps to optimize maximum efficiency of battery and motor …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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Novel approaches to the Design and Optimization of Universal Shift Register with Reversible logic
Abstract: Reversible logic is gaining importance in new multi-disciplinary fields, such as quantum computing, low-power computing, and even nanotechnology. The study of reversible gates has quickly evolved as a distinctive area of research as a result of the new developments aimed at fully utilizing resources and performing operations without any loss of information. With chip integration, these USRs, or Universal Shift Registers, have now become fundamental sequential components needed in various …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 21–28 Read article
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Multi-Response Optimization of Turning Parameters with Vikor-Entropy Method on Machining of AA6061-TiB2 In-Situ Composites
Abstract: In the manufacturing and metal cutting industries, the quality of the surface and strength is essential in defining the surface finish; an excellent surface finish indicates excellent quality in the product. The influence of machining parameters speed, feed and depth of cut on responses like material removal rate, surface roughness and Power consumption on turning of AA6061-TiB2 composites is investigated using the VIKOR-ENTROPY method. The effects of changing parameters on …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 256–268 Read article
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Process Parameters Optimization of Fiber Laser Cladded SS316 Surface Using RSM Analysis
Abstract: This paper presents the laser cladding experiments on the surface of SS316 to study the variations in process parameters, such as scanning speed (100-250 mm/min), laser power (50-250 W), and % volume of B4C (5- 25%) + SS316 powder on the mechanical, metallurgical and tribological performance of the modified surface. A central composite design (CCD) was used to develop the response surface methodology (RSM) to design the experiments and for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 186–201 Read article
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Smart Agriculture: IoT-Based Automation and Monitoring for Enhanced Farming Efficiency
Abstract: This paper presents the development of an innovative agriculture automation and monitoring system designed to improve farming efficiency through the integration of low-cost sensors and microcontrollers. The system utilizes components such as PIR motion sensors, soil moisture sensors, DHT11 humidity sensors, and a relay motor pump for precise automation of irrigation and environmental monitoring. NodeMCU (ESP8266) acts as the primary controller, facilitating real-time data gathering and decision-making. Results show significant …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Impact of Time Multiplier Setting Range on Optimum Coordination of Directional Overcurrent Relays
Abstract: Over-current relays especially Inverse Definite Minimum Time (IDMT) relays are most commonly used protective device in the distribution system. It is vital that during abnormalities or faults, the IDMT relays must be capable to isolate only the faulty part of power system from the healthy system. The operating time of IDMT relays can be reduced with proper coordination between primary and backup relays by selecting optimum settings. Heuristic-based optimization techniques …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 33–40 Read article