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2024 China Automation Congress, CAC 2024

作者： Ren, Xinyu Li, Bo Zhao, Feng Chen, Xiangyong Zhang, Xianhe Jiang, Xiaowei School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Finance Anhui University of Finance and Economics Bengbu China Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Electrical Engineering and Automation Hubei Normal University Huangshi China

ISBN: (纸本)9798350368604

This paper investigates the optimal tracking performance (OTP) of multiple-input multiple-output (MIMO) discrete networked control systems (NCSs) under the influence of Denial of Service (DoS) attack, channel noise, and bandwidth constraints. The channel noise is assumed to be additive Gaussian white noise (AWGN). Due to the randomness of DoS attack, a Bernoulli distribution is used for DoS modeling. Utilizing frequency domain analysis methods, coprime factorization, all-pass decomposition, and Youla parameterization, an explicit expression for the optimal tracking performance (OTP) of the system under the two-degree-of-freedom (TDOF) controller is derived. The analysis indicates that non-minimum phase (NMP) zeros, unstable poles (UPs), DoS attack, and network constraints affect the OTP of NCSs. Finally, the theoretical results are validated through simulations of MIMO NCS and vehicle control system. © 2024 IEEE.

关键词： White noise

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Pulmonary nodule detection based on multi-branch 3D squeeze-and-excitation network 17

Pulmonary nodule detection based on multi-branch 3D squeeze-...

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17th IEEE International Conference on Dependable, Autonomic and Secure computing, IEEE 17th International Conference on Pervasive Intelligence and computing, IEEE 5th International Conference on Cloud and Big Data computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019

作者： Zhang, Yuechao Zhang, Jianxin Che, Chao Lin, Kai Zhou, Dongsheng Zhang, Qiang Wei, Xiaopeng Key Lab of Advanced Design and Intelligent Computing (Ministry of Education) Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9781728130255;9781728130248

Convolutional neural networks based regional proposal networks (RPN) have recently achieved breakthrough results in a variety of medical image detection tasks. Among them, 3D RPN network in conjunction with advanced ResNet gains the state-of-the-art performance. However, current 3D RPN network cannot fully consider different hierarchically spatial information and relationship between channels contained in networks themselves. To overcome this problem, this work proposes a novel multi-branch 3D Squeeze-and-Excitation (SE) network, i.e., Mb3DSENet, which embeds SE-Inception and SE-Residual-Inception blocks into existing 3D RPN network by appropriately assembling SE unit, Inception module and residual connection. Mb3DSENet not only inherits the merits of the basic 3D RPN network, but also enhances its spatial representation power and selectively highlights channel-wise feature responses. Experiment results on the public LUNA16 dataset demonstrate the effectiveness of the proposed network. © 2019 IEEE.

关键词： 3D RPN network Pulmonary nodule detection SE-inception block SE-residual-inception block

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Image encryption based on dna splicing system and henon model

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ICIC Express Letters 2010年第3期4卷 1011-1018页

作者： Zhou, Changjun Wei, Xiaopeng Zhang, Qiang Wang, Bin School of Management Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China

In this paper, we introduce a mixed image encryption scheme which is corn-posed of the Henon model and the formal model of DNA computing-splicing *** this scheme, we transform the digital image into DNA sequence based on DNAcode theory, and then scramble the DNA sequence through employing splicingoperation with a permutation matrix which, is generated by Henon chaotic ***, security analysis and simulation results show that the proposed schemeis effective, and it has wide secret key space, strong sensibility, high,security and good ability of resisting statistic attack. ICIC International © 2010.

关键词： DNA sequences

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The memory degradation based online sequential extreme learning machine

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Neurocomputing 2018年 275卷 2864-2879页

作者： Quan-Yi Zou Xiao-Jun Wang Chang-Jun Zhou Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China School of Computer Science & Technology Dalian University of Technology Dalian 116622 China

In online learning, the contribution of old samples to a model decreases as time passes, and old samples gradually become invalid. Although the Online Sequential Extreme Learning Machine (OS-ELM) can avoid the repetitive training of old samples, invalid samples are still used, which goes against improving the accuracy of an OS-ELM model. The Online Sequence Extreme Learning Machine with Forgetting Mechanism (FOS-ELM) timely discards invalid samples, but it does not consider the differences among valid samples and then has the limitation on boosting the accuracy and generalization. To solve this issue, the Memory Degradation Based OS-ELM (MDOS-ELM) is proposed in this paper. The MDOS-ELM adjusts the weights of the old and new samples in real time by a self-adaptive memory factor, and simultaneously discards invalid samples. The self-adaptive memory factor is determined by two elements. One is the similarity between the new and old samples, and the other is the prediction errors of the current training samples on the previous model. The performance of the proposed MDOS-ELM is validated on both regression and classification datasets which include an artificial dataset and twenty-two real-world dataset. The results demonstrate that the MDOS-ELM model outperforms the OS-ELM and the FOS-ELM models on the accuracy and generalization.

关键词：

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A Low SAR, Small size, High gain, Circularly polarized Antenna for Wearable Application 2

A Low SAR, Small size, High gain, Circularly polarized Anten...

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2020 2nd International Conference on Artificial Intelligence Technologies and Application, ICAITA 2020

作者： Wang, Chao Zhang, Liang Cheng, Yi Li, XueMei Wu, Xianliang Key Lab of Ministry of Education of Intelligent Computing and Signal Processing Anhui University Hefei Anhui230601 China AnHui Province Key Laboratory of Simulation and Design for Electronic Information System Hefei Normal University Hefei Anhui230601 China

A planar, small size, high gain, low specific absorption rate (SAR) and circularly-polarized (CP) wearable antenna is proposed in this paper. The antenna is fabricated on a substrate with a dielectric constant of 3.5 with a thickness of 0.5 mm and sized at 42×42 mm only. Both the simulation results show that the overlap bandwidth of impedance and axial ratio of the proposed antenna is 13.7% (5.15-5.91 GHz). To isolate the antenna against the influence of the human body, a artificial magnetic conductor (AMC) plane is added on the reverse side of the radiator. The AMC structure effectively isolates the human body from the radiation of the antenna and reduces the specific absorption rate (SAR) of it by more than 96.1% at 5.5 GHz, which improves the antenna gain and the peak gain reaches 5.09 dBi at 5.5 GHz. The wearable performance of the antenna was analyzed, and it is observed that it can sustain good performance even under human body loading. Beside, the antenna has a small size, which makes it ideal for wearable applications. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Wearable antennas

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Development of intelligent Post-processing Algorithm for Three Degrees of Rotation Freedom CNC Machine Tools

Development of Intelligent Post-processing Algorithm for Thr...

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International Conference on Mechanical design, ICMD 2021

作者： Zhao, Pengrui Liu, Zhifeng Li, Zhixiong Cao, Zirui Su, Lihang Institute of Advanced Manufacturing and Intelligent Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Advanced Manufacturing Technology Beijing University of Technology Beijing100124 China Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Beijing University of Technology Beijing100124 China

ISBN: (纸本)9789811673801

In this paper, the postprocessing algorithm of multi-axis CNC machine tool with three rotating degrees of freedom is studied and simulated. Firstly, the coordinate system and motion characteristics of multi-axis NC machine tool with three rotating degrees of freedom are analyzed, and the calculation method and formula of coordinate transformation of machine tool are presented. Secondly, by using MATLAB software, a universal postprocessor for NC program of three degrees of freedom machine tool is developed. Finally, the complex propeller as the processing object was used to verify the correctness of the post-processing algorithm through the VERICUT CNC machining simulation system. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine tools

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Expression image preprocessing based on wavelet transform

Expression image preprocessing based on wavelet transform

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2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014

作者： Quan, Changqin Xu, Xiaoming Ren, Fuji Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Hefei230009 China University of Tokushima Shinkura-cho Tokushima770-8501 Japan

ISBN: (纸本)9781479973965

In this paper, we present a new image preprocessing method which is based on Wavelet Transform. Before we extract expression texture information, Wavelet transform will be applied to remove partial high frequency information. And then Gabor Transform will be used to extract expression information. At last we chose the Support Vector Machine to classify facial expressions. Experiments on the Japanese Female Facial Expression (JAFFE) Database illustrate that the Wavelet Transform and Gabor features are effective for facial expression discrimination. Additionally, the experiment results validate the feasibility of this method. © 2014 IEEE.

关键词： Wavelet transforms

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Simulation Study on the Influence of Drilling Parameters on the Temperature of Skull Drilling

Simulation Study on the Influence of Drilling Parameters on ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Jiang, Wenyu Liu, Zhenzhong Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

Skull drilling is an important and difficult process in neurosurgical craniotomy, which will inevitably produce a lot of heat. Correct understanding of the heat production law of skull drilling has important guiding significance for craniotomy robot. In this study, cortical bone and cancellous bone were layered to establish models according to the 3D reconstruction data of skull. The finite element method based on ABAQUS is used to establish the skull drilling model and realize the simulation of bone tissue surgical instrument interaction state for surgical robot. The results show that when the drill rotation speed and feed speed increase, the drilling temperature will also increase, but the drill rotation speed will have a more significant effect on bone drilling temperature, and when the drill rotation speed is low (300r/min, 600r/min), the drill bit diameter has little effect on the drilling temperature, but when the drill rotation speed is higher (900r/min, 1200r/min), the larger diameter drill bit(11mm) will produce more drilling heat. © 2021 IEEE.

关键词： Finite element method

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Optimization of Robot Hopping Mechanism Based on Parametric Model Method

Optimization of Robot Hopping Mechanism Based on Parametric ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

In order to solve the problem of hopping mechanism design of robot, we proposed a method of optimization of transmission mechanism based on parametric model. In this paper, the optimization of energy transfer efficiency of robot jump mechanism is completed by parametric model method through the mechanism simplification, parametric modeling and parameter optimization. The results show that the method can greatly optimize the energy transfer efficiency and reduce the driving torque required by 74.6%. It provides a feasible optimization method for the design of the robot hopping structure. © 2021 IEEE.

关键词： Energy transfer

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Mechanism design and Motion Simulation of Mobile Robot with Compound Motion Mode

Mechanism Design and Motion Simulation of Mobile Robot with ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin China

ISBN: (纸本)9781665441285

Aiming at the problem of poor trafficability and difficulty in dealing with complex environment of traditional mobile robot, we proposed a climbing and hopping hybrid mobile robot. In this paper, we took the spring four-bar linkage mechanism as the hopping mechanism and the C-shaped wheel foot mechanism as the walking mechanism. Completed the structure design of the robot. Realized the assembly and disassembly of the virtual prototype, and completed the motion simulation and analysis. The results show that the robot is stable in the aspects of structure design and its jumping height can reach 988mm, and has a great potential in reconnaissance, monitoring, survey etc. © 2021 IEEE.

关键词： Mobile robots

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