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IEEE International Conference on Mechatronics and Automation

作者： Xiang Zhai Peng Shi Liang Xu Yalong Wang Xi Chen Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and School of Electrical and Electronic Engineering Tianjin University of Technology Binshui Xidao 391 Tianjin China AVIC Luoyang Institute of Electro-Optical Equipment Luoyang China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In recent years, with the continuous popularity of the Internet, the number of online shopping users in my country has reached 639 million, which contains huge commercial value. In order to maintain the prosperity, diversity and order of merchants, and fully meet consumers' one-stop shopping needs, it is necessary to analyze and predict user purchase behaviors more accurately. This article uses the interaction between users and products within a certain period of time provided by *** to predict whether users will place orders in designated categories and shops in the next week. First of all, we aim at the problem that the original features are not strongly related, and use feature fusion to construct strong features. For high-dimensional systems that are slow to calculate and prone to overfitting, we use random forests to filter features, reducing the complexity of the model. Finally, a fusion algorithm based on XGBoost and LightGBM is proposed to predict the purchase behavior of users, and the prediction effects of random forest and GBDT algorithm are compared at the same time. The results show that the fusion model has the best prediction effect, and can help merchants more accurately conduct marketing activities to potential customers based on the prediction results.

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Multi-functional Smart Car Based on Wireless Communication Technology

Multi-functional Smart Car Based on Wireless Communication T...

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IEEE International Conference on Mechatronics and Automation

作者： Junchao Zhu Huifeng Cao Baofeng Zhang Yunlong Xing Chang Jia Engineering Research Center of Optoelectronic Devices & Communication Technology Ministry of Education China Binshui Xidao 391 Tianjin China Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology Binshui Xidao 391 Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In view of the high risk of working in the complex unknown environment, the intelligent car is used to monitor the concentration, temperature and humidity of harmful gases in the environment, collect the actual geographical information of the unknown environment and other functions. In this paper, through upper and lower computer control scheme, the smart car based on wireless communication technology is researched, components including main-control chip based on ATmega328P single-chip microcomputer (SCM), AR9331 wireless transmission chip, and various sensors are selected to construct the whole system, functions like screen image acquisition and passing back, and monitoring environmental gas concentration and humiture are realized. The result indicates, the system of multi-functional smart car based on wireless communication technology is stable enough to meet practical demand.

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EEG-Based Emotion Classification with Wavelet Entropy Feature

EEG-Based Emotion Classification with Wavelet Entropy Featur...

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Chinese Automation Congress (CAC)

作者： Xiaolin Song Qiaoju Kang Zekun Tian Yi Yang Sihao Yang Qiang Gao Yu Song Engineering Training Center Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical an Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Traditional emotion recognition methods are mainly based on voice, expression and body movement. These physiological signals or facial expressions may hardly reveal inner emotions. In this paper, the wavelet entropy (WE) was utilized to represent the characteristics associated with emotional states. The average classification accuracies of positive, neutral and negative emotions are 70.65%, 70.53% and 70.28%, respectively. In order to demonstrate the effectiveness of the proposed method, the comparison experiments were carried out by the power spectrum density (PSD) feature and approximate entropy (ApEn) feature. The average classification accuracies are 70.49% (WE), 66.93% (PSD) and 64.44% (ApEn), respectively. The results indicate that the wavelet entropy feature performs better than the other two features for Electroencephalogram (EEG) based emotion recognition.

关键词： Electroencephalography Feature extraction Entropy Fourier transforms Emotion recognition Wavelet coefficients Wavelet analysis

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Topological horseshoe analysis and field-programmable gate array implementation of a fractional-order four-wing chaotic attractor

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Chinese Physics B 2018年第1期27卷 300-306页

作者：董恩增王震于晓陈增强王增会 Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems Tianjin University of Technology Department of Automation Nankai University Department of Electrical and Mining Engineering University of South Africa

We present a fractional-order three-dimensional chaotic system, which can generate four-wing chaotic attractor. Dy- namics of the fractional-order system is investigated by numerical simulations. To rigorously verify the chaos properties of this system, the existence of horseshoe in the four-wing attractor is presented. Firstly, a Poincar6 section is selected properly, and a first-return Poincar6 map is established. Then, a one-dimensional tensile horseshoe is discovered, which verifies the chaos existence of the system in mathematical view. Finally, the fractional-order chaotic attractor is imple- mented physically with a field-programmable gate array （FPGA） chip, which is useful in further engineering applications of information encryption and secure communications.

关键词： fractional-order chaotic system Poincar6 map topological horseshoe field-programmable gatearray （FPGA）

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Study on the Motion control System of the Triphibian Robot based on Fuzzy PID control

Study on the Motion Control System of the Triphibian Robot b...

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IEEE International Conference on Mechatronics and Automation

作者： Jian Guo Kaitian Zhang Shuxiang Guo Jigang Xu Tianjin Key Laboratory for Control Theory&Applications In Complicated systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Faculty of Engineering Kagawa University Takamatsu Kagawa Japan Unit68709 Qinghai Haidong China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

There is a growing need for triphibian robots in a complex research and exploration environment. In order to improve the flexibility of all-terrain robot movement, improve their ability of fast response, make its can be applied to complex domains such as reconnaissance, surveillance and communication, In this paper, the kinematics and dynamics models of the robot are first established, and for the design of new triphibian robot, proposed a triphibian robot motion control system based on fuzzy PID control. Finally, through the simulation experiment, its rapid response ability to the change of displacement and Angle is tested, which shows that the motion control system has a good adaptability to the new three-perch robot, and verifies the effectiveness and feasibility of the designed control system.

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A Shallow Convolutional Neural Network for Classifying MI-EEG

A Shallow Convolutional Neural Network for Classifying MI-EE...

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Chinese Automation Congress (CAC)

作者： Tingting Wang Enzeng Dong Shengzhi Du Chao Jia Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems Tianjin University of Technology Tianjin China

Deep neural network is a hotspot in the field of Machine Learning, which can realize deep hierarchical representation of input data. In this paper, a simplified Shallow Convolutional Neural Network (SCNN) is used to classify Motor Imagery Electroencephalogram (MI-EEG). The network uses a single feature layer to mine the intrinsic features of EEG sequences, and uses the training time and accuracy to evaluate the classification effect. Different from other methods, CNN integrates feature extraction and predicted classification results to optimize the whole process, which can automatically extract features from original data. Experiments on the BCI Competition IV Dataset 2b competition dataset and the BCI Competition II Dataset III competition dataset show that the overall performance under SCNN is the best.

关键词： Training Task analysis Convolutional neural networks Electroencephalography Feature extraction Machine learning Electrodes

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A Method for Obtaining Contact Force between Catheter Tip and Vascular Wall in Master-slave Robotic System

A Method for Obtaining Contact Force between Catheter Tip an...

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IEEE International Conference on Mechatronics and Automation

作者： Xiaoliang Jin Shuxiang Guo Jian Guo Peng Shi Dapeng Song Faculty of Engineering and Design Kagawa University 2217-20 Hayashi-cho Takamatsu Kagawa Japan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology the Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology Beijing China Tianjin Key Laboratory for Control Theory and Application in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In the research of vascular interventional surgery robotic system, the force information acquisition of surgical tools (guidewires and catheters) has a significant affect on the safety of surgery, especially the contact force between the catheter tip and vascular wall. Therefore. In order to obtain this contact force, we noticed the pressure sensitive rubber because of its piezoresistive effect and easy processing into any shape. a force sensor based on the pressure sensitive rubber was developed in this paper. Once a force is applied on the force sensor attached to the catheter tip, the contact force can be approximated by the piezoresistive effect of the pressure sensitive rubber. The feasibility of the developed force sensor was verified by the experiments in “Vitro”. And the results showed that the force sensor was developed in this paper can accurately detect the contact force between the catheter tip and vascular wall at different positions in the vascular model, the extraction of contact force information of catheter tip is of great significance to the safety of surgery, and the application potential of pressure sensitive rubber.

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Study on Distributed Data Processing System for Decentralized Spherical Multi-robot based on Edge Computing and Blockchain

Study on Distributed Data Processing System for Decentralize...

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IEEE International Conference on Mechatronics and Automation

作者： Shuxiang Guo Sheng Cao Jian Guo Jigang Xu Tianjin Key Laboratory for Control Theory&Applications In Complicated systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Faculty of Engineering Kagawa University Takamatsu Kagawa Japan Unit68709 Qinghai Haidong China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

The application of robot is more and more abundant. Especially in the background of military applications, it is often necessary to build multi-robot system to complete tasks. But, when the multi-robot system encounters the invasion of the enemy, the centralized control system is hard to defend effectively and solve the Byzantine fault-tolerant problem in the embedded environment with the lack of computing resources and the multirobot system network can not carry the broadcast of a large amount of original data. In order to solve the above problems. Lora communication technology and blockchain technology are used to propose and implement the decentralized spherical multirobot control system, which improves the Byzantine fault-tolerant ability of the system. At the same time, based on the concept of edge computing, under the current decentralized system, the distributed data processing system of the spherical multi-robot is studied. The results show that distributed data processing system for decentralized spherical multi-robot based on edge computing and blockchain can effectively improve the real-time performance.

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Study on Map Construction of Spherical Robot based on Statistical Filtering

Study on Map Construction of Spherical Robot based on Statis...

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IEEE International Conference on Mechatronics and Automation

作者： Jian Guo Xiangyu Chen Shuxiang Guo Jigang Xu Tianjin Key Laboratory for Control Theory&Applications In Complicated systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Faculty of Engineering Kagawa University Takamatsu Kagawa Japan Unit68709 Qinghai Haidong China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Traditional robots lacked the detection and preservation of environmental information. This paper proposes to apply SLAM to robots. We put a camera on the robot to capture the environment and map it. Traditional SLAM algorithms typically generate point cloud maps, which are bulky and unreadable and cannot be used for robot navigation. Therefore, point cloud map is generally converted into octree map, but due to environmental interference, sensor error and other reasons, point cloud map often contains a lot of noise, which leads to a large error in the generated octree map. In this paper, based on OBR SLAM2 algorithm, proposed a filtering method, through the judgment of point cloud map points automatically select filtering mode, thus generating high quality octree map. Compared with unfiltered maps through experiments, the map generated by this method is smaller volume and more accurate.

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Implementation of automatic control system of resistance spot welding for square-rectangular steel tube packing belt 15

Implementation of automatic control system of resistance spo...

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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Gao, Qiang Mao, Zemin Li, Dong Cui, Jie Han, Yu Tianjin Key Laboratory for Control Theory and Application in Complicated Systems China 391 Binshui Xidao Xiqing District Tianjin China

ISBN: (纸本)9781538660720

In order to elevate the automation degree of square-rectangular steel tube packing and achieve better welding effect, a square-rectangular steel tube packing belt resistance spot welding automatic control system is designed based on OMRON CP1L in this paper. The resistance spot welding (RSW) machine and two axis servo motors are controlled by PLC. The touch screen is used to set the servo motLRQ parameters and the welding parameters of resistance spot welding. According to the local circumstance, the form of single-side single spot welding is adopted by the system. The operation form of traditional manual arc welding is converted into automatic resistance spot welding system. The system can automatically invoke the corresponding welding parameters in the light of the specification of the steel tube packing. The practical application shows that the whole system is uncomplicated, stable, efficient and environmentally friendly compared with artificial arc welding. The utilization of the system not only enhances the welding efficiency, but also reduces the cost of human and environmental governance, so that the enterprise productivity efficiency has been greatly improved. © 2018 IEEE.

关键词： Efficiency

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