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428 articles for “operating strategies”
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Orthogonal Thirty-Two Phase Sequence Sets Design
Abstract: In using orthogonal signals, a multi-input, multi-output (MIMO) radar system and a spread spectrum communication system can improve operating efficiency. The usage of polyphase coded signals as pulse compression sequences sets is a superior alternative. The Modified Genetic Algorithm (MGA) is utilized as a global optimization strategy to create thirty-two phase sequence sets in this work. Design orthogonal thirty-two phase sequence sets with an impulse-like Autocorrelation Function (ACF) and a …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 33–39 Read article
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Risk Assessment and Operational Management of Offshore Structures: A Review
Abstract: AbstractDuring the past few years, reliability-based risk assessment and management processes have been initiated and applied in evaluating and maintaining the reliability of a worldwide infrastructure of offshore structure systems. These systems are characterized as a combination of structures, hardware/equipment, operating personnel, organizations, environments and the interfaces between these components. Contextual on current and future trends in development of comprehensive programs to help improve the quality and consistency of offshore …
Published in Journal of Offshore Structure and Technology · Vol. 4, Issue 3, 2017 · pp. 31–34 Read article
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Design and Control of Ethyl Acetate Production Process
Abstract: In this study, the design and control of ethyl acetate production plant has been investigated. The proposed design consists of a continuous-stirred tank reactor and two distillation columns. Ethanol reacts with acetic acid and gives ethyl acetate and water. Plant-wide operability and control of the entire process plant with decentralized controllers is explained by doing both steady state and dynamic simulations. Tray temperature control loop performance is tested for the …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 1, 2015 · pp. 9–20 Read article
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THD Minimization of 27 Level Inverter using FPGA Control Strategy
Abstract: Normally single phase inverter gives only +230 V or –230 V. But multilevel inverter gives the variable output voltage in various levels and also the harmonics are reduced. If harmonics are produced, it affects the output of the load. Most of the industrial applications rely on Induction motors because of the reliable operation, low cost and simple construction. So the Multilevel inverter output is connected to the Induction motor. Here …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 39–46 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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Evaluation of Electrical and Thermal Energy Performance of a Semi-transparent Photovoltaic Module Integrated Double Pane Window System Under Different Air Flow Strategies
Abstract: Prudent manoeuvring of waste heat generated in the air cavity of a double pane photovoltaic window can increase thermal output besides improving energy generation. This paper presents the performance of a Cadmium Telluride (CdTe) thin-film semi-transparent photovoltaic (STPV) module integrated double pane window system under three different modes of operation. The modes of operation cover direct and indirect influences of the indoor environment in the cavity air flow. For simulation …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 1, 2022 · pp. 1–14 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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An Investigation on Application of Passive Strategies to Improve Thermal Performance of Buildings
Abstract: AbstractThermal comfort is a state of mind that expresses satisfaction with the surrounding environment of the building space. It is different for every individual and also, depends on the nature of activity of each individual occupant in the building. Understanding thermal comfort is important to building architecture, since it not only the basis for building design, but also affects the field of sustainable design or Green Buildings. Buildings’ as a …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 12–16 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Overview of Innovative Battery Management System
Abstract: In battery-powered technologies, also including (hybrid) electric vehicles and portable electronics, the battery management system (BMS) arises as a crucial network element. Many battery-operated industrial and commercial equipment use battery management systems (BMSs) to increase battery efficiency and enable non-destructive estimate of battery state. However, present BMSs are unable to control batteries adequately, which has an impact on the usability of products, due to the inaccurate parameter assessment of old …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 3, 2022 · pp. 12–19 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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DESIGN OF SCRAP COLLECTION AND REWARD MACHINE USING VERILOG HDL
Abstract: The growing amount of waste produced in urban environments has led to a demand for effective and automated recycling solutions. In this paper, a scrap collection and reward machine is designed and implemented using the Verilog Hardware Description Language (HDL). The proposed system is developed to provide a reliable and automated approach for managing recyclable materials while motivating users through a reward-based mechanism. The design includes scrap input interfaces, a …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 37–45 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Shell-Based Agents as Execution Systems: A Survey of Command Generation, Verification, Security, State, and Recovery
Abstract: Shell environments are increasingly becoming interfaces through which AI agents interact with software and operating systems. Unlike conventional command generation systems, shell-based agents can interpret task objectives, plan multi-step actions, invoke terminal tools, observe system state, and adapt subsequent actions. These capabilities support software development, system administration, experimentation, and automated operations, but also introduce reliability and security challenges that cannot be assessed through command generation alone. This survey reviews 57 …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 30–54 Read article
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A Review of Solar-Powered Electric Vehicle Models Handling Unpredictable Changes in Modern Power Grids
Abstract: The transition to Electric Vehicles (EVs) is a critical strategy for mitigating global warming and reducing dependence on diminishing fossil fuel reserves. However, the environmental benefits of EVs are significantly diminished if the charging power is sourced from carbon-intensive electrical grids. To achieve true sustainability, it is vital to integrate Renewable Energy Sources (RES), particularly solar energy, into the charging infrastructure. Beyond transportation, EVs offer a unique opportunity to act …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Deep-globe Challenge for Road Extraction Using Convolution Neural Network
Abstract: High-resolution lackey pictures contain a riches of information. They're too intense to decipher. For various operations, it's vital to snappily and straightforwardly distinguish streets from fawning pictures. The thought is to create a bracket demonstration to prize street systems from today’s pictures. The technique of the proposed strategy is grounded on the pre-processing of the disciple information to enhance the picture quality, which in turn comes about in superior comes …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article