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509 articles for “Optimal Control”
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Study The Effect of Metakaolin Powder in Hot Mix Asphalt as Mineral Filler
Abstract: Mineral fillers are crucial for bridging the spaces between the internal particles of the asphalt matrix. The purpose of this study is to investigate the mechanical properties of hot mix asphalt as well as the impact of utilising Metakaolin (MK) as a mineral filler. Coarse aggregate, fine aggregate, and filler are the main components of hot mix asphalt (HM). With or without modifiers, materials and asphalt binders. HMA components have …
Published in Journal of Polymer & Composites · Vol. 11, Issue 10, 2023 · pp. 9–15 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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Controlled Drug Delivery of Furosemides Using Floating Tablet System
Abstract: The development of gastroretentive drug delivery systems (GRDDS) has gained interest, particularly for drugs like furosemide with narrow absorption windows in the upper gastrointestinal (GI) tract. Furosemide, a commonly used diuretic, faces challenges due to limited bioavailability and rapid elimination, requiring frequent dosing and affecting patient compliance. This review highlights the formulation and evaluation of floating furosemide tablets as an effective strategy to enhance therapeutic efficacy. Floating tablets allow prolonged …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 23–31 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Intelligent Robotics using microelectronics Exploring the Future of Smart Machines
Abstract: In the past few years, robotics technology has made remarkable progress. In order to assist humans in their work, robots that can recognise and track people are required; as a result, tools like the "Human Following Load carrier" that can converse and live with people must be created. Localising the robot and its surroundings is one of the primary obstacles in enabling the robot to do different jobs in the …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Accessibility Index of Selected Combine Harvesters of Chhattisgarh Region
Abstract: Combine harvesters have become more popular with an increase in harvested area in Chhattisgarh. It must be ensured that the workplace of the combine harvesters must fulfill the anthropometric criteria of agricultural workers of Chhattisgarh. Incorporating anthropometric criteria into the design of combine harvesters is essential for improving the comfort, efficiency, and safety of agricultural workers in Chhattisgarh. In addition to supporting the operators, this strategy likewise enhances the region's …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 34–40 Read article
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Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline
Abstract: The revolutionary potential of artificial intelligence (AI) is examined in this essay the pharmaceutical industry, highlighting its application across the drug development lifecycle. Artificial Intelligence, specifically via deep learning models and machine learning (ML) such as GANs, RNNs, and transformers, enhances drug discovery, formulation, toxicity prediction, and clinical trials. It streamlines processes like identification of targets, virtual screening, modelling of structure-activity relationships, and medication repurposing. AI is also employed in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 77–84 Read article
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Adaptive Street Illumination System with Energy Harvesting
Abstract: This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Influence of Polymeric Carriers on the pH-Modifying Properties of Intracanal Medicaments in Root Canal Treatment
Abstract: Calcium hydroxide (CH) preparations and medicated gutta-percha are widely used intracanal medicaments in root canal treatment. These materials often incorporate polymeric carriers to deliver the CH payload and influence its therapeutic effect. This in-vitro study investigates the impact of different polymeric carriers on the pH-modifying properties of intracanal medicaments within the root canal system. The research focuses on two key aspects: (1) the ability of the polymers to control the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 967–974 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Enhancing Control with Embedded Ssvep-Bci
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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Outward Material Storage Area and Dispensing Activity for Packaging Material Area
Abstract: Efficient management of outward material storage and packaging material dispensing is essential for maintaining product quality, regulatory compliance, and streamlined operations in manufacturing industries. This review examines the principles, practices, and challenges associated with the design, organization, and control of outward material storage areas, with a specific focus on packaging material handling. Key aspects discussed include layout optimization, material segregation, environmental controls, documentation practices, and adherence to Good Manufacturing Practices …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 27–32 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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Current Controlled Oscillator Using FinFET
Abstract: A current-controlled oscillator using 18 nm FinFET technology is proposed in this study which consists of a Current Controlled Differential Difference Current Conveyor (CCDDCC) block to control the current. FinFET technology has better scalability and lower leakage current compared to traditional CMOS, which allows it to surpass the obstacles faced by CMOS-based oscillators. The suggested oscillator is suitable for electronic applications such as Phase-Locked Loop (PLL) systems, radio frequency (RF) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 17–28 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Solar Grow Net: Autonomous Greenhouse Monitoring and Control System
Abstract: This paper presents the development of an IoT-based, solar-powered greenhouse monitoring and control system designed to optimize environmental conditions for plant growth. The system uses multiple sensors to measure parameters such as temperature, humidity, soil moisture, air quality, and light intensity. Based on sensor readings, actuators including water pumps, fans, and lighting systems are automatically triggered to maintain ideal growing conditions. An ATmega328 microcontroller controls the entire system, while solar …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article