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Improving longitudinal motion prediction of hybrid monohulls with the viscous effect

Journal of Marine Science and Application 2007年第3期6卷 39-45页

作者： ZHANG Heng LI Ji-de College of Shipbuilding Engineering Harbin Engineering University Harbin 150001 China

A new method improves prediction of the motion of a hybrid monohull in regular waves. Stem section hydrodynamic coefficients of a hybrid monohull with harmonic oscillation were computed using the Reynolds Averaged Navier-Stokes Equations （RANSE）. The governing equations were solved using the finite volume method. The VOF method was used for free surface treatment, and RNGK-ε turbulence model was employed in viscous flow calculation. The whole computational domain was divided into many blocks each with structured grids, and the dynamic process was treated with moving grids. Using a 2-D strip method and 2.5D theory with the correction hydrodynamic coefficients allows consideration of the viscous effect when predicting longitudinal motion of a hybrid monohull in regular waves. The method is effective at predicting motion of a hybrid monohull, showing that the viscous effect on a semi-submerged body cannot be ignored.

关键词： hybrid mono-hull motion prediction hydrodynamic coefficient simulation of viscous flow

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Design of Human Adaptive Mechatronics Controller for Upper Limb motion Intention prediction

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Computers, Materials & Continua 2022年第4期71卷 1171-1188页

作者： R.Joshua Samuel Raj J.Prince Antony Joel Salem Alelyani Mohammed Saleh Alsaqer C.Anand Deva Durai Department of Information Science&Engineering CMR Institute of TechnologyBengaluruIndia Department of Mechatronics Engineering Rajas Engineering CollegeTirunelveliIndia Center for Artificial Intelligence King Khalid UniversityAbhaKingdom of Saudi Arabia College of Computer Science King Khalid UniversityAbhaKingdom of Saudi Arabia

Human Adaptive Mechatronics(HAM)includes human and computer system in a closed *** person with disabilities,normally carry out their daily routines with some assistance to move their *** the short fall of human care takers,mechatronics devices are used with the likes of exoskeleton and exosuits to assist *** rehabilitation and occupational therapy equipments utilize the electromyography(EMG)signals to measure the muscle activity *** paper focuses on optimizing the HAM model in prediction of intended motion of upper limb with high accuracy and to increase the response time of the *** characteristics extraction from EMG signal and prediction of optimal controller parameters are *** and frequency based approach of EMG signal are considered for feature *** models used for estimating motion and muscle parameters from EMG signal for carrying out limb movement predictions are *** on the extracted features,optimal parameters are selected by Modified Lion Optimization(MLO)for controlling the HAM ***,supervised machine learning makes predictions at different points in time for individual sensing using Support Vector Neural Network(SVNN).This model is also evaluated based on optimal parameters of motion estimation and the accuracy level along with different optimization models for various upper limb *** proposed model of human adaptive controller predicts the limb movement by 96%accuracy.

关键词： Exoskeleton electromyography(emg) human adaptive mechatronics occupational therapy motion prediction machine learning

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Face Tracking Based on Skin Color and motion prediction

Face Tracking Based on Skin Color and Motion Prediction

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2012年计算机应用与系统建模国际会议

作者： Jing Sun College of Information and Electronics Zhejiang Sci-Tech University

Aimed at the disturbance caused by illumination variations and similar skin color regions in the video scene which will greatly affect face tracking accuracy, and in order to enhance the real time performance, a novel approach for face tracking based on skin-color information and motion prediction is put forward in this paper. The major idea is to take the Gaussian skin-color model based on YCrCb space as face location model, and in order to increase the real-time performance of skin-color detection, GM(1,1) model is combined to carry out face prediction so as to reduce searching areas. By exploiting least-square method to determine constant c in time response function of the GM(1,1) whitenization function, the prediction accuracy can be greatly advanced, satisfying the demand for prediction model owing to the randomization of human face movement. Experimental results show that the proposed method has such advantages as fast tracking speed and good robustness.

关键词： Skin-color Information motion prediction Face Tracking GM(1 1) Model

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Novel linear search for support vector machine parameter selection

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Journal of Zhejiang University-Science C(Computers and Electronics) 2011年第11期12卷 885-896页

作者： Hong-xia PANG Wen-de DONG Zhi-hai XU Hua-jun FENG Qi LI Yue-ting CHEN State Key Laboratory of Optical Instrumentation Zhejiang University Hangzhou 310027 China

Selecting the optimal parameters for support vector machine (SVM) has long been a hot research topic. Aiming for support vector classification/regression (SVC/SVR) with the radial basis function (RBF) kernel, we summarize the rough line rule of the penalty parameter and kernel width, and propose a novel linear search method to obtain these two optimal parameters. We use a direct-setting method with thresholds to set the epsilon parameter of SVR. The proposed method directly locates the right search field, which greatly saves computing time and achieves a stable, high accuracy. The method is more competitive for both SVC and SVR. It is easy to use and feasible for a new data set without any adjustments, since it requires no parameters to set.

关键词： Support vector machine (SVM) Rough line rule Parameter selection Linear search motion prediction

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Predicting 3-DoF motions of a moored barge by machine learning

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Journal of Ocean Engineering and Science 2023年第4期8卷 336-343页

作者： Yu Yang Tao Peng Shijun Liao State Key Laboratory of Ocean Engineering Shanghai 200240China Center of Marine Numerical Experiment School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The real-time prediction of a floating platform or a vessel is essential for motion-sensitive maritime *** can enhance the performance of motion compensation system and provide useful early-warning *** this paper,we apply a machine learning technique to predict the surge,heave,and pitch motions of a moored rectangular barge excited by an irregular wave,which is purely based on the mo-tion *** dataset came from a model test performed in the deep-water ocean basin,at Shanghai Jiao Tong University,*** the trained machine learning model,the predictions of 3-DoF(degrees of freedom)motions can extend two to four wave cycles into the future with good *** shows great potential for applying the machine learning technique to forecast the motions of offshore platforms or vessels.

关键词： Barge Wave-excited motion Machine learning motion prediction

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A Machine Learning Based Method of Constructing Virtual Inertial Measurement Predictor of Human Body

A Machine Learning Based Method of Constructing Virtual Iner...

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第36届中国控制会议

作者： QIAN Weixing LI Rongbing XIE Fei LUO Haonan WANG Yuntao ZHENG Tingting School of Electrical and Automation Engineering Nanjing Normal University College of Automation Nanjing University of Aeronautics and Astronautics

In recent years,using human characteristics to assist exoskeleton robot control is one of the hot spots in the field of robot *** the problem that extremity installation of inertial measurement components in human body cannot achieve effective measurement,a method of constructing virtual inertial measurement predictor of human body based on machine learning is *** method uses the outputs of the inertial measurement components synchronously installed on the extremities and other parts of the body as the data samples,through recurrent neural network,it realizes the construction of virtual inertial measurement components and their *** order to improve the training effect,the training samples are filtered based on gait phase *** simulation based on Anybody and MATLAB shows that,by installing the inertial measurement component near hip joint,the proposed method can effectively simulate and predict the inertial measurement component’s output of centroid position of foot and surface of shank.

关键词： Kinematic model of human body Virtual sensor Machine learning Gait detection motion prediction

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