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509 articles for “optimization. Algorithm”
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Flow shop scheduling with WWO
Abstract: This paper focuses on reviewing the method used to solve the problem of flow shop scheduling using one of the efficient nature inspired algorithm that is water wave optimization. It has been proven to be one of the most efficient method of optimization in every field and us widely used nowadays because of its methodologies and efficiency. The Water Wave Optimization can be used for various different types of flow …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 48–53 Read article
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Application of AI Techniques in Three-phase Shunt Active Power Filter in Unbalanced and Distorted Supply Conditions
Abstract: This paper deals with a new improved model of the shunt active power filter having the control scheme using Artificial Neural Networks (ANN) technique in unbalanced and distorted supply system. In this paper, three soft computing techniques viz; Genetic algorithm, Fuzz logic, neural network are used. The simulation results using MATLAB model confirm that combination of these algorithms together create an optimum system, which clearly proves the effectiveness of the …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 15–26 Read article
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Operation of isolated DFIG with Modified P&O MPPT Algorithm
Abstract: AbstractThis paper demonstrates validation of modified control algorithm for MPPT (Maximum Power Point Tracking) for Doubly Fed Induction Generator (DFIG) based WECS (Wind Energy Conversion System). The main objective is maximizing the wind energy by optimizing the losses. MPPT algorithm implementation is done by performing control of duty cycle of DC to DC boost converter. This method establishes effective system for wind energy utilization and reduces rating for control. The …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 1, 2020 · pp. 29–33 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 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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SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Deploying Optimal Number of Sensors and Damage Detection in Structural Health Monitoring Using SEM-GA Method
Abstract: Detecting damages is the most important criterion in any engineering creation—be it a machine or a building. Among the engineering creation, civil engineering structures need a continuous monitoring to check their operations, performance and the health status of the structures. Damage detection cannot be done manually every time. Automated systems have to be developed in order to monitor the health of the structure periodically. Hence, structural health monitoring (SHM) aims …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 28–35 Read article
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The Coordinated Approach for Reactive Power Management of Deregulated Electricity Market
Abstract: RPM is an important ancillary service, especially in deregulated energy environment which contains two major areas: reactive power purchase and reactive power dispatch. Various technical and economic issues need to be considered in this market. This work shows RPD as the main optimization problem. As optimized electric power dispatch is important problem in electrical power systems. Cost infimumization, voltage stability improvement, losses minimization, and terminal voltage deviation minimization are important …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 5–14 Read article
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Application of Genetic Algorithm in Resource Leveling and Allocation
Abstract: Resource leveling and allocation is one of the most important aspects in construction management. Critical path method and program evaluation review technique is frequently used for scheduling of construction projects. However, it is not capable of minimizing unwanted fluctuations in resource utilization profile. The basic idea of resource leveling is to minimize resource fluctuation. In addition to this, the paper uses the resource utilization period. This research paper presents an …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 1–8 Read article
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Multi Base Station optimized Positioning for Black Hole Attacks in Wireless Sensor Networks
Abstract: AbstractA wireless sensor network (WSN) consists of distributed autonomous sensors to monitor environmental or physical conditions, such as temperature, sound, pressure, etc. and to pass your data to the main location through the network data through the network to the main location. Modern networks are bidirectional. They also allow control of sensor activity. So, the main problem for this is security, since some attacks are presented in the network to …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 19–26 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Advanced Airline Operations Control System Using NodeJS
Abstract: This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS's event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 45–51 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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A Review: Application of Ant Algorithm in Transport Network Design Problems
Abstract: A dependable and reliable information source for transportation route planning and ready response to traveler demand, have become a hot topic of research these days. Transportation route planning, analysis and processing of traveler demand are among most important factors affecting response to traveler demand. Because of highly dynamic networks and frequent discontinuity, it is desirable to establish routes for fast delivery of people and goods, having a low probability of …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 17–22 Read article
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A PWM Based Series Compensator for Power System Performance Enhancement
Abstract: Enhancement of power system stability through a relatively new FACTS device named pulse width modulated series compensator (PWMSC) in the transmission line has been investigated in this article. The three-phase PWMSC is realized with a simple pulse width modulated (PWM) AC link converter consisting of four force-commutated switches and a three-phase diode bridge. The PWMSC is modeled as a continuously controllable series capacitive reactance in the transmission line of a …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 12–25 Read article
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An Optimal Bidding Strategy for Social Welfare Maximization of Microgrid
Abstract: Competition in power markets implies benefit to the generators as well as customer. The uncertain nature of bids and behavior of renewables makes the bidding strategy more complex. The power market comprises of Generation companies (GENCOS), Transmission companies (TRANSCOs) and Distribution companies (DISCOs) which actively participate in the auction process. In this paper, a new bidding strategy for a microgrid in day-ahead market is proposed for social welfare maximization considering …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 11–21 Read article