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International Workshop on Digital Media and Digital Content Management, DMDCM 2011

作者： Wei, Xiaopeng Xiao, Boxiang Zhang, Qiang Liu, Rui Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9780769544137

A noise data processing algorithm based on rigid structure matching for human motion capture (MoCap) is presented in this paper. The noise model is related to parts of human body, but not to trajectories of markers as most used in traditional approaches. Three issues are addressed in this method: rigid structure matching, semantic restriction and noise reduction, and they are three steps of data processing. First, human body is divided into seven main parts: head, chest, waist, hands and legs, and all parts' candidate parts are generated by algorithm of rigid structure matching from motion data. Missing markers can be automatically reconstructed by existing markers on a same rigid structure. Subsequently, one group of parts with most possibility is determined as initial processed data by semantic restriction. Finally, an impulse noise model is found based on the analysis of data, and the noise has been filtered. At the end, the main conclusions of this research are drawn, and the advantages and limitations of this approach are discussed respectively. The algorithm presented can be easily implemented and performed, and the processed motion data can be expediently used in human body animation. The efficiency of the method is illustrated by the experiments. © 2011 IEEE.

关键词： Rigid structures

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Humanoid Robot Collaborative Lifting Integrating Executable Judgment

Humanoid Robot Collaborative Lifting Integrating Executable ...

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2022 IEEE International Symposium on Product Compliance Engineering - Asia, ISPCE-ASIA 2022

作者： Chang, Hua Yi, Pengfei Liu, Rui Dong, Jing Hou, Yaqing Zhou, Dongsheng The Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian University Dalian China Dalian University of Technology Dalian China

ISBN: (数字)9798350332483

ISBN: (纸本)9798350332483

Humanoid robot collaborative lifting can be used in a variety of scenarios that require repetitive lifting tasks. Most existing studies of humanoid robot collaboration often assume that objects can always be lifted, which may result in damage to both the robot and the object if objects are too heavy to lift. To avoid such situations as much as possible, a collaborative lifting approach integrating executable judgment is proposed. First, a target search and localization method is constructed using monocular vision and marker points to identify the task object. Then, an executable judgment strategy is designed to determine whether the object is overweight or not according to robot force analysis. Finally, a multi-robot joint control model is proposed based on collaborative communication to perform collaborative tasks with different loads based on the judgment results. Experiments on two humanoid robots for different types and weights of targets show the effectiveness of the proposed approach. © 2022 IEEE.

关键词： Anthropomorphic robots

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key Frames Extraction Based on the Improved Genetic Algorithm

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Computer Aided Drafting,design and Manufacturing 2014年第4期24卷 74-78页

作者： ZHOU Dong-sheng JIANG Wei YI Peng-fei LIU Rui Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University

In order toovercomethe poor local search ability of genetic algorithm, resulting in the basic genetic algorithm is time-consuming, and low search abilityin the late evolutionary, we use thegray coding instead ofbinary codingatthebeginning of the coding;we use multi-point crossoverto replace the originalsingle-point ***, theexperimentshows that the improved genetic algorithmnot only has a strong search capability, but also thestability has been effectively improved.

关键词： key frames extraction grey code binary code genetic algorithm

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A copula-based reliability model for phased mission systems with dependent components (vol 39, pg 1533, 2023)

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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2023年第7期39卷 3179-3179页

作者： Li, X. Zhan, K. Xiong, X. Vu, T. Q. Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan China School of Media Design College of Technology and Design University of Economics Ho Chi Minh City Vietnam

Recently, researches on the reliability analysis of phased mission systems (PMSs) are very popular. And most of the existing research on PMSs assumed that all the components are statistically independent on each other, which is not meet the engineering reality. The system structure changes from phase to phase in the PMSs, so the dependency among components may also change in different phases. Meanwhile, the well-known phase dependency is also existing in the system reliability modeling. To model the varying dependency among components and phase dependency at the same time, a copula-based method is proposed for the reliability analysis of PMS with correlated components. Firstly, the system reliability of multi-state PMS with dependent components is evaluated by different copula functions. Then, multiple indicators are used to select the optimal copula functions for different phases. And an engineering case is illustrated to show the proposed copula-based method.

关键词： copula dependent components modular method phased mission system

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The design and analysis of novel carbon-free vacuum cleaner

The design and analysis of novel carbon-free vacuum cleaner

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International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

作者： Zhang, Jian Xin Zhang, Zhang E. Zhang, Qiang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China Dalian University of Technology Dalian China

ISBN: (纸本)9783038352464

We propose a new concept design about carbon-free vacuum cleaner. The carbon-free vacuum cleaner moves under the act of external forces instead of the motor, and transmits the rotation speed from low to the ideal speed with the gear up box. In order to to verify the reasonableness of the gear up mechanism and weather the designing of the gears meet the demand, we construct the detail assemble model of the gear up mechanism based on pro/e software, and then analyze the gear with the finite element analysis method. © (2014) Trans Tech Publications, Switzerland.

关键词： Finite element method

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IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor

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Chinese Journal of Aeronautics 2023年第8期36卷 422-453页

作者： Helin LI Bin LIN Tianyi SUI Liang XU Chen ZHANG Shuai YAN Yang WANG Xinquan HAO Deyu LOU School of Mechanical Engineering Ministry of EducationTianjin UniversityTianjin 300350China International Institute for Innovative Design and Intelligent Manufacturing of Tianjin University Shaoxing 312000China Science and Technology of Advanced Functional Composite Laboratory Aerospace Research Institute of Materials and Processing TechnologyBeijing 100076China Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education Tianjin UniversityTianjin 300072China

An on-machine measuring(OMM)system with a laser displacement sensor(LDS)is designed for measuring free-form surfaces of hypersonic aircraft’s *** improve the measurement accuracy of the OMM system,a novel Iteratively Automatic machine learning Boosted hand-eye Calibration(IABC)method is *** the hand-eye relationship and LDS measurement errors can be calibrated in one calibration process without any hardware changes via ***,a new objective function is derived,containing analytical parameters of the handeye relationship and LDS ***,a hybrid calibration model composed of two kernels is proposed to solve the objective *** kernel is the analytical kernel designed for solving analytical *** kernel is the automatic machine learning(AutoML)kernel designed to model LDS *** two kernels are connected with stepwise iterations to find the best calibration *** with traditional methods,hand-eye experiments show that IABC reduces the calibration RMSE by about 50%.Verification experiments show that IABC reduces the measurement deviations by about 25%-50%and RMSEs within 40%.Even when the training data are obviously less than the test data,IABC performs *** demonstrate that IABC is more accurate than traditional hand-eye methods.

关键词： Hand-Eye Calibration Laser Displacement Sensor Machine learning Measurement errors On-Machine Measurement

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Logic operation model of the complementer based on two-domain DNA strand displacement 1

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12th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2017

作者： Xie, Wendan Zhou, Changjun Lv, Hui Zhang, Qiang Key Laboratory of Advanced Design Intelligent Computing Ministry of Education Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

DNA strand replacement technology has the advantages of simple operation which makes it becomes a common method of DNA computing. A four bit binary number Complementer based on two-domain DNA strand displacement is proposed in this paper. It implements the function of converting binary code into complement code. Simulation experiment based on Visual DSD software is carried out. The simulation results show the correctness and feasibility of the logic model of the Complementer, and it makes useful exploration for further expanding the application of molecular logic circuit. © Springer Nature Singapore Pte Ltd 2017.

关键词： Timing circuits

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Speech Emotion Recognition Based on Image Enhancement 14

Speech Emotion Recognition Based on Image Enhancement

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14th IEEE International Conference on intelligent Systems and Knowledge Engineering, ISKE 2019

作者： Wang, Dongyan Dong, Jing Zhou, Dongsheng Wei, Xiaopeng Zhang, Qiang Ministry of Education Dalian University Key Laboratory of Advanced Design and Intelligent Computing Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9781728123486

The performance of an emotion recognition system is determined by the quality of emotional features. In this paper, we propose a feature optimization algorithm based on image enhancement and present a convolutional recurrent model to realize emotional recognition of natural speech. For three-dimensional (3-D) log-Mel spectrum and 3-D spectrogram features, the fast gamma transformation with an adaptive threshold is adopted for feature enhancement to make full use of the dynamic characteristics of non-stationary speech signals. Meanwhile, the model combining Convolutional Neural Network (CNN) with the rectangular kernels and Long Short-Term Memory (LSTM) is used to complete speech emotion recognition tasks. Experiments are carried out on two public emotional datasets, and results demonstrate the good generalization ability and recognition performance of our proposed model. © 2019 IEEE.

关键词： Image enhancement

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Speech Emotion Recognition using Channel Attention Mechanism 4

Speech Emotion Recognition using Channel Attention Mechanism

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4th International Conference on Computer Engineering and Application, ICCEA 2023

作者： Zhu, Ruifeng Sun, Caixia Wei, Xiaopeng Zhao, Lasheng Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9798350347548

In order to improve the accuracy of speech emotion recognition, this paper proposes a speech emotion recognition method based on the channel attention mechanism. Firstly, Mel Frequency Ceptral Coefficient(MFCC), speech spectrograms and spectral envelopes are selected as the initial input features;then, multiple depth network models are used to extract feature maps from different angles in parallel;then, weights are assigned and fused to the feature maps output from each sub-depth network model by the channel attention mechanism;finally, the fused feature maps are used to predict emotion categories. The experimental results on CASIA, Emo-DB, and SAVEE emotion datasets show that the method achieves 88.3%, 85.1%, and 64.5% recognition accuracy, respectively, with better recognition performance compared to recent comparative literature models. © 2023 IEEE.

关键词： Emotion Recognition

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Motion key-frames extraction based on amplitude of distance characteristic curve

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International Journal of Computational Intelligence Systems 2014年第3期7卷 506-514页

作者： Zhang, Qiang Xue, Xiang Zhou, Dongsheng Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education Dalian University Dalian China

The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured sequence. First we select a group of joint distance features to represent the motion and adopt the Principal Component Analysis (PCA) method to obtain the one dimension principal component as a features curve which will be used. Then we gain the initial key-frames by extracting the local optimum points in the curve. At last, we get the final key frames by inserting frames based on the amplitude of the curve and merging key frames too close. A number of experimental examples demonstrate that our method is practicable and efficient not only in the visual performance but also in the aspect of the compression ratio and error rate.

关键词：

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