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  • Open Access

    PROCEEDINGS

    A Numerical Analysis of Dorsal and Anal Fins in Zebrafish C-Turn Maneuvering

    Fei Li1, Yuansen Liu1, Yongliang Yu1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011601

    Abstract The dorsal and anal fins play crucial roles in aquatic propulsion, serving as auxiliary structures that enhance fish mobility. This study investigates the functional contributions of these fins during zebrafish C-turn maneuvers through computational simulations. We reconstructed the three-dimensional morphology of zebrafish based on experimental data, with particular attention to dorsal and anal fin modeling. Using the open-source immersed boundary method code IBAMR, we simulated self-propelled C-turn motions to elucidate the fins' impact on turning performance. Comparative analysis of C-turns with varying rotational amplitudes revealed that dorsal and anal fins effectively suppress boundary layer diffusion… More >

  • Open Access

    ARTICLE

    Simultaneous Depth and Heading Control for Autonomous Underwater Vehicle Docking Maneuvers Using Deep Reinforcement Learning within a Digital Twin System

    Yu-Hsien Lin*, Po-Cheng Chuang, Joyce Yi-Tzu Huang

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4907-4948, 2025, DOI:10.32604/cmc.2025.065995 - 30 July 2025

    Abstract This study proposes an automatic control system for Autonomous Underwater Vehicle (AUV) docking, utilizing a digital twin (DT) environment based on the HoloOcean platform, which integrates six-degree-of-freedom (6-DOF) motion equations and hydrodynamic coefficients to create a realistic simulation. Although conventional model-based and visual servoing approaches often struggle in dynamic underwater environments due to limited adaptability and extensive parameter tuning requirements, deep reinforcement learning (DRL) offers a promising alternative. In the positioning stage, the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm is employed for synchronized depth and heading control, which offers stable training, reduced overestimation… More >

  • Open Access

    ARTICLE

    Research on Maneuver Decision-Making of Multi-Agent Adversarial Game in a Random Interference Environment

    Shiguang Hu1,2, Le Ru1,2,*, Bo Lu1,2, Zhenhua Wang3, Xiaolin Zhao1,2, Wenfei Wang1,2, Hailong Xi1,2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1879-1903, 2024, DOI:10.32604/cmc.2024.056110 - 15 October 2024

    Abstract The strategy evolution process of game players is highly uncertain due to random emergent situations and other external disturbances. This paper investigates the issue of strategy interaction and behavioral decision-making among game players in simulated confrontation scenarios within a random interference environment. It considers the possible risks that random disturbances may pose to the autonomous decision-making of game players, as well as the impact of participants’ manipulative behaviors on the state changes of the players. A nonlinear mathematical model is established to describe the strategy decision-making process of the participants in this scenario. Subsequently, the… More >

  • Open Access

    ARTICLE

    Enhancing Safety in Autonomous Vehicle Navigation: An Optimized Path Planning Approach Leveraging Model Predictive Control

    Shih-Lin Lin*, Bo-Chen Lin

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3555-3572, 2024, DOI:10.32604/cmc.2024.055456 - 12 September 2024

    Abstract This paper explores the application of Model Predictive Control (MPC) to enhance safety and efficiency in autonomous vehicle (AV) navigation through optimized path planning. The evolution of AV technology has progressed rapidly, moving from basic driver-assistance systems (Level 1) to fully autonomous capabilities (Level 5). Central to this advancement are two key functionalities: Lane-Change Maneuvers (LCM) and Adaptive Cruise Control (ACC). In this study, a detailed simulation environment is created to replicate the road network between Nantun and Wuri on National Freeway No. 1 in Taiwan. The MPC controller is deployed to optimize vehicle trajectories,… More >

  • Open Access

    ARTICLE

    Generation and Simulation of Basic Maneuver Action Library for 6-DOF Aircraft by Reinforcement Learning

    Jinlin Wang1, Jitao Teng3, Yang He1, Hongyu Yang1,*, Yulong Ji2,*, Zhikun Tang4, Ningwei Bai5

    Journal on Internet of Things, Vol.4, No.2, pp. 85-98, 2022, DOI:10.32604/jiot.2022.031043 - 28 March 2023

    Abstract The development of modern air combat requires aircraft to have certain intelligent decision-making ability. In some of the existing solutions, the automatic control of aircraft is mostly composed of the upper mission decision and the lower control system. Although the underlying PID (Proportional Integral Derivative) based controller has a good performance in stable conditions, it lacks stability in complex environments. So, we need to design a new system for the problem of aircraft decision making. Studies have shown that the behavior of an aircraft can be viewed as a combination of several basic maneuvers. The More >

  • Open Access

    ARTICLE

    Comparative Study of Machine Learning Modeling for Unsteady Aerodynamics

    Mohammad Alkhedher*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1901-1920, 2022, DOI:10.32604/cmc.2022.025334 - 24 February 2022

    Abstract Modern fighters are designed to fly at high angle of attacks reaching 90 deg as part of their routine maneuvers. These maneuvers generate complex nonlinear and unsteady aerodynamic loading. In this study, different aerodynamic prediction tools are investigated to achieve a model which is highly accurate, less computational, and provides a stable prediction of associated unsteady aerodynamics that results from high angle of attack maneuvers. These prediction tools include Artificial Neural Networks (ANN) model, Adaptive Neuro Fuzzy Logic Inference System (ANFIS), Fourier model, and Polynomial Classifier Networks (PCN). The main aim of the prediction model… More >

  • Open Access

    ARTICLE

    Correlation Analysis of Energy Consumption of Agricultural Rotorcraft

    Lihua Zhu1,*, Zhijian Xu1, Yu Wang1, Cheire Cheng2

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3179-3192, 2022, DOI:10.32604/cmc.2022.023293 - 07 December 2021

    Abstract With the rapid development of unmanned aerial vehicle technology, unmanned aerial vehicles (UAVs) have been widely used in the field of agricultural plant protection. Compared with fuel-driven UAVs, electrically driven rotorcrafts have many advantages such as lower cost, simpler operation, good maneuverability and cleaner power, which them popular in the plant protection. However, electrical rotorcrafts still face battery problems in actual operation, which limits its working time and application. Aiming at this issue, this paper studied the influence of rotorcraft flight parameters on energy consumption through series of carefully designed flight experiments. First of all,… More >

  • Open Access

    ARTICLE

    RANS Simulation for the Maneuvering and Control of a Suboff Submarine Model

    Jinyu Ren, Dezhi Xu, Jing Xu*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.3, pp. 561-572, 2020, DOI:10.32604/fdmp.2020.09791 - 25 May 2020

    Abstract Submarine maneuverability has been analyzed by means of computational fluid dynamics (CFD). This approach provides an alternative, accurate, and cost-effective method for simulating actual flow. The numerical results show that the numerical simulation of the viscous flow related to a moving submarine based on the RANS equation with a relevant turbulence model can not only provide rich flow field details such as flow separation, but also accurately predict its hydrodynamic performance. The present study indicates that CFD can be used to forecast the submarine’s maneuverability in the initial design stage. The present results will be More >

  • Open Access

    ARTICLE

    Partitioned Method of Insect Flapping Flight for Maneuvering Analysis

    Minato Onishi1, Daisuke Ishihara1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.1, pp. 145-175, 2019, DOI:10.32604/cmes.2019.06781

    Abstract This study proposed a partitioned method to analyze maneuvering of insects during flapping flight. This method decomposed the insect flapping flight into wing and body subsystems and then coupled them via boundary conditions imposed on the wing’s base using one-way coupling. In the wing subsystem, the strong coupling of the flexible wings and surrounding fluid was accurately analyzed using the finite element method to obtain the thrust forces acting on the insect’s body. The resulting thrust forces were passed from the wing subsystem to the body subsystem, and then rigid body motion was analyzed in… More >

  • Open Access

    HOW I DO IT

    Maneuver to improve exposure during radical perineal prostatectomy

    Mohamed H. Kamel1, Nabil K. Bissada1, Nizar Bou Diab1, Anthony T. Kaczmarek2

    Canadian Journal of Urology, Vol.17, No.2, pp. 5114-5116, 2010

    Abstract Objectives: Radical perineal prostatectomy (RPP) has an important place as a management option for prostate cancer. Herein we describe an adaptation that we found to significantly help the exposure during this procedure.
    Methods: After opening the urethra, the long Lowsley tractor is changed to the short tractor. Caudal traction facilitates the dissection up to the bladder neck, which is opened. Classically, at this point an umbilical tape or Penrose drain substitutes the short tractor. Because of the limitation in the amount of traction that can be applied without fracturing through the tissue, we have utilized traction sutures More >

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