Search
314 articles for “optimal path”
-
Finding Optimal Path Using Python
Abstract: This paper introduces a smart operation to find the optimal path. The evolution of finding the shortest path became more useful and systematic in several fields. Hence, the proposed model was created by implementing the A* algorithm associated with the Python language. This algorithm is an approach to search the shortest route between two points, either starting or ending. The experimental results showed a high accuracy to find the optimal …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article
-
Fluid Flow Analysis and Flow Path Optimization of a Centrifugal Fuel Injector for a Turboshaft Aero Engine
Abstract: The present work of optimization is made for specific dimensions of a rotary fuel injector used in two of the high-performance defense helicopter’s gas turbine engines, presently. The need for doing this study is to meet the thermal design requirements of limiting the combustion chamber temperatures to an optimum designed value which heavily depends on finely divided homogeneous droplet sizes, the SMD (Sauter Mean Diameter) of the fuel that is …
Published in Recent Trends in Fluid Mechanics · Vol. 4, Issue 1, 2017 · pp. 22–27 Read article
-
Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
-
Colostrum-Driven Epigenetic Programming in Dairy Cows: A Pathway to Optimal Reproductive Health
Abstract: Colostrum is a vital nutritional source for neonatal calves, providing immune support and essential growth factors. Recent research suggests that colostrum’s impact extends beyond immediate immunological protection, influencing long-term reproductive health through epigenetic modifications. In dairy heifers, early-life exposure to high-quality colostrum may program the developing reproductive system, affecting ovarian function, uterine health, and overall fertility. The components of colostrum, including hormones, growth factors, and bioactive peptides, can induce epigenetic …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 35–51 Read article
-
The Role of Social Media Analytics in Integrated Marketing Communication and Understanding Consumer Behaviour: The Pathway to Optimal Customer Relationship Management
Abstract: This study explores the role of social media analytics in understanding consumer behavior within the context of Integrated Marketing Communication (IMC). Businesses now have access to a lot of data thanks to the spread of social media platforms, which can give them important insights into consumer preferences, attitudes, and behaviors. This study discusses the methodologies and tools used in social media analytics and how they can be leveraged to enhance …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 22–29 Read article
-
Liquid-Cooled Battery Thermal Management System: A Numerical Investigation of Effect of Coolant Path and Flow Rate Optimization
Abstract: Battery thermal management system (BTMS) is crucial for ensuring the safety and performance of battery packs in electric vehicles. Liquid cooling is one of the most effective methods for BTMS, but the choice of coolant, fluid path and its flow rate can affect the heat transfer efficiency and the pressure drop. In this paper, a numerical simulation of a liquid-cooled BTMS using three designs with water as a coolant has …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 11–18 Read article
-
Path and Trajectory Planning of Unmanned Ground Vehicles with Vehicle Dynamic Characters
Abstract: Given partial knowledge about its environment (obstacle, road…) and goal position, optimal path and trajectory planning is a key problem for the control of unmanned vehicles. In path planning problem, it is very important to consider the dynamic limits of the vehicle with optimization function. The path planning was implemented by applying optimization methods based on the given obstacle information(virtual or measured by sensor system) and numerical map without considering …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 7–14 Read article
-
A Survey Paper on Smart Path Algorithm for Ant Colony Optimization
Abstract: Apart from the tremendous research being executed, ad hoc networks is the huge issue for various researchers. Ad hoc network routing is particularly most challenging issue because of its power energy, dynamic nature and inadequate bandwidth. Someway, techniques which are based on the SI for example algorithms of ACO have presented to be a perfect method for developing algorithms of ad hoc networks routing. ACO routing is an effective routing …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 1–9 Read article
-
Electric Vehicle Range Prediction
Abstract: The introduction of new energy vehicles has emerged as a new trend in the automotive industry inresponse to growing energy and environmental issues. The electric vehicle (EV) is the driving force behind newenergy vehicles. The one major problem electric vehicles have always been the distance(range) of the travel and mapto the nearby charging stations. For range prediction in the present study, four machine learningalgorithms—multiple linear regression, random forest regression, polynomial …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 24–32 Read article
-
An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
-
Troubleshooting CSS: Common Issues and Effective Solutions for Web Development
Abstract: Many modern websites suffer from bloated and ineffective stylesheets, despite the fact that CSS is crucial for user experience and web performance. The effects of CSS optimization strategies, including minification, modularization, critical CSS extraction, lazy loading, and unused rule elimination, are simulated and assessed in this study on four representative web platform types: news portals, e-learning platforms, e-commerce sites, and SaaS dashboards. Using a controlled experimental environment and common auditing …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 44–57 Read article
-
Framework-Based Optimization of Catalysis Efficiency through Reaction Pathway Engineering
Abstract: The rational design of heterogeneous catalysts through framework-based approaches has emerged as a transformative strategy for controlling reaction pathways and enhancing catalytic efficiency. This paper examines recent advances in the optimization of catalytic performance through engineered frameworks, including metal-organic frameworks (MOFs), zeolites, and related porous materials. By integrating computational methods with experimental validation, researchers have achieved unprecedented control overactive site architecture, reactant confinement, and elementary reaction steps. This work reviews …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 88–99 Read article
-
Path Planning using DDPG Algorithm and Univector Field Method for Intelligent Mobile Robot
Abstract: Path planning is one of the most fundamental challenging tasks in robotics and its purpose is to lead the robot from the initial position to the goal without any collision through the optimal route. With the rapid development of artificial intelligence technology, AI has been widely studied for robot path planning and a method by deep reinforcement learning (DRL) was proposed. In general, path planning methods with DRL need discrete …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
-
Design and Evaluation of Dynamic Testing in Object Oriented Programming Through Computational Techniques
Abstract: Software testing is one of the most labour-intensive and expensive phase of the software development life cycle. It is an important and valuable part of it. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a numerous search-based optimization techniques are available for better accuracy in testing. The aim of this paper is to …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
-
Implementation of Weighted Round Robin Algorithm in Shared Bus Architectures
Abstract: AbstractThe application domain of System-On-Chips (SoC) includes mobile devices, end terminals, multimedia terminals, automotive, set-top-boxes, games, processors etc. The SoC design paradigm relies heavily on reuse of intellectual property cores, enabling designers to focus on functionality and performance of the overall system. This is possible if IP cores are equipped with highly optimized interface for plug and play insertion into communication architecture. To this purpose the virtual Socket Interface Alliance …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 34–40 Read article
-
Optimization of process parameters in pocket milling of SAE304 based on tool path strategies using Taguchi method
Abstract: Surface roughness is the most significant factor in manufacturing industry to accept most of the machined components. In modern manufacturing CNC milling is one of the most commonly used machining process for different components. Pocket milling is building importance in plastic molding, Ship building and aircraft manufacturing. The surface finish is attained by finishing operations in most of the cases, which causes increase in production cost and time. This can …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 49–56 Read article
-
Resolving Travelling Salesman Problem Using Modified Clustering Technique
Abstract: AbstractTravelling Salesman Problem (TSP) is a quotidian stumbling block in the field of Computer Science and operation research designed to seek out the shortest pathway amid the given targets viz. cities where each target is considered only once. Many solutions to this setback like Ant Colony Optimization. Brute-Force approach, Genetic Algorithm, Fruit Fly Optimization etc. are available in literature. The main objective of these solutions is to minimize the time …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 22–31 Read article
-
Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
-
Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
-
Optimizing Handoff Probability in GSM Networks: A Comprehensive Review of Pathloss Modeling Techniques
Abstract: Because wireless networks are becoming more and more popular, it is necessary to combine several heterogeneous networks in order to give users access to global information. An intriguing and modern concept called vertical handoff aims to combine several network interfaces. Battery power is the single most essential parameter that affects specific mobile nodes. The battery life of some mobile nodes is nearly depleted at the conclusion of algorithm execution because …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 2, 2023 · pp. 22–29 Read article