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2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023

作者： Zhang, Zhong Yang, Guanyu Chen, Yang Ji, Tianjiao Liu, Hongtu Xu, Wenbo Southeast University School of Computer Science and Engineering Nanjing China National Institute for Viral Desease Control and Prevention Beijing China

ISBN: (纸本)9798350306293

Hand-foot-mouth disease (HFMD) has gradually become prevalent in mainland China since the first official report in 2008. The incidence of HFMD is increasing among children mainly aged zero to five. Thus how to monitor and prevent HFMD is becoming an important public health challenge. This study aims to build a forecasting framework of HFMD for two Chinese cities, Chengdu in Sichuan Province and Guangdong in Guangzhou Province based on LSTM, by utilizing clinical data of HFMD, meteorological factors, and Baidu index data. Our method achieves significant results © 2023 IEEE.

关键词： Forecasting

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Adaptive Active Fault-Tolerant Attitude control for Spacecraft with Adaptive Prescribed Performance 6

Adaptive Active Fault-Tolerant Attitude Control for Spacecra...

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6th International Symposium on Autonomous Systems, ISAS 2023

作者： Yang, Ze Yang, Baoqing Ji, Ruihang Ma, Jie Harbin Institute of Technology Control and Simulation Center Harbin China National University of Singapore Department of Electrical and Computer Engineering Singapore

ISBN: (纸本)9798350316155

For spacecraft attitude control affected by environmental disturbance, parameter uncertainty and actuator fault, a novel composite active fault-tolerant scheme, combining a strong tracking Cubature Kalman filter (STCKF) with adaptive prescribed performance control (APPC), is investigated in this paper. The proposed STCKF is capable of estimating lumped fault rapidly but accurately, and it is robust to model uncertainty. An adaptive finite-time prescribed performance function (APPF) whose boundaries can be flexibly adjusted in the case of actuator faults is proposed. Then an active fault tolerant controller is designed using nonsingular terminal sliding mode control (NTSMC) in conjunction with APPF. Simulation experiments and comparisons show that the proposed strategy exhibits better fault tolerance, lower conservatism and better steady-state performance. © 2023 IEEE.

关键词： Attitude control

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Exploring Gender Differences Based on Functional Magnetic Resonance Images by Deep Learning and Gradient-weighted Class Activation Mapping 16

Exploring Gender Differences Based on Functional Magnetic Re...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Luo, Jie Bin Chao Ma, Ji Wang, Yan Jiang Chen, Xue College of Control Science and Engineering Qingdao China Qingdao University The Institute for Digital Medicine and Computer-Assisted Surgery Qingdao China

ISBN: (纸本)9798350330755

Previous studies have shown gender differences in cognitive function and the prevalence of some neurological diseases. Understanding gender differences in functional connectivity (FC) will provide a new perspective for understanding these differences. We wanted to develop an effective model for the gender prediction and identify the major source of gender differences in functional connectivity. In this study we used FC generated from functional Magnetic Resonance Imaging (fMRI) from the Human Connectome Project in 1038 healthy subjects. We apply deep learning to test whether functional connectivity networks can effectively predict gender and identify the main sources of gender differences in FC. The accuracy of predicting gender by using the functional connectivity network has reached more than 90%, and we found that there are significant gender differences in the FC of interhemispheric brain areas and the FC in the right hemisphere, and in addition to the previously discovered default mode network (DMN), frontoparietal network (FPN), somatomotor network (SMN), there were gender differences in visual network (VIN), auditory network (AUN), and dorsal attention network (DAN) as well, and the gender differences within each resting-state network (RSN) were also large. Our results suggest that gender differences exist in functional connectivity networks and certain subnetworks can be focused on when studying gender-related cognitive functions and neurological disorders. © 2023 IEEE.

关键词： Magnetic resonance imaging

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Space-ROS: A Novel Real-Time Operating System Architecture and Implementation for Space Robot 8th

Space-ROS: A Novel Real-Time Operating System Architecture a...

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8th International Conference on Signal and Information Processing, Network and computers, ICSINC 2021

作者： Ma, Zhi Deng, Anhua Jiang, Jingjing Liu, Hongbiao Chen, Xi Beijing Institute of Control Engineering Beijing100194 China School of Computer Science and Technology Xidian University Xi’an710071 China

ISBN: (纸本)9789811933868

Robot operating system has become an important basic software for robots. It improves the reuse rate of software codes and provides a unified platform for application developers. However, ROS runs on Linux, which takes up a large amount of memory and cannot provide timing guarantees for robot motion. Although the strategy of porting ROS to embedded real-time operating systems has become a popular solution to these problems, this technique is challenging to efficiently adopt in space robot systems due to real-time multi-tasking, scalability, and performance requirements. This paper proposes an operating system architecture Space-ROS based on the embedded real-time operating system SpaceOS, we introduce a part of ROS function instead of overall on RTOS to ensure the lightweight of the system. Space-ROS adopts a three-level scheduling strategy suitable for multi-cores processors to ensure the efficient operation of real-time multi-tasks and uses a dynamic loading function to improve the scalability of the system, this function supports online updates of applications. In addition, we have also designed intelligent interactive functions, which can conveniently plan and design the action tasks of space robots, greatly improves the efficiency and interactive experience of developers. Finally, we built a simulation environment for the space robot performing a lunar exploration mission and evaluated the performances functions of Space-ROS. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine design

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Docking to a Specific Person of an Autonomous Mobile Manipulator Using UWB Positioning and RGB-D Camera

Docking to a Specific Person of an Autonomous Mobile Manipul...

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2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023

作者： Song, Kai-Tai Huang, Yu-Yun Deng, Shu-Huan Hsieh, Yuan-Shuo National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Institute of Electrical and Control Engineering Hsinchu Taiwan

ISBN: (纸本)9798350302714

In this paper, a novel navigation method is proposed to dock a mobile manipulator in front of a specific person by combining the ultra-wideband (UWB) positioning system with image-based motion control. The UWB is used for a longer distance human identification and positioning. As the robot approaches the target person, face recognition and face pose estimation are used for close docking control the person. The experimental results show that the average error of docking to a person is 5.2° in orientation and 8.48cm in distance. The integrated experimental results demonstrate that the autonomous mobile manipulator can navigate to a target person and handover an object to the person. © 2023 IEEE.

关键词： Face recognition

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Novel Optimized Feature Selection Using Metaheuristics Applied to Physical Benchmark Datasets

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computers, Materials & Continua 2023年第2期74卷 4027-4041页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Fadwa Alrowais Sunil Kumar Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt School of Computer Science University of Petroleum and Energy StudiesDehradun248001India Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

In data mining and machine learning,feature selection is a critical part of the process of selecting the optimal subset of features based on the target *** are 2n potential feature subsets for every n features in a dataset,making it difficult to pick the best set of features using standard ***,in this research,a new metaheuristics-based feature selection technique based on an adaptive squirrel search optimization algorithm(ASSOA)has been *** using metaheuristics to pick features,it is common for the selection of features to vary across runs,which can lead to *** of this,we used the adaptive squirrel search to balance exploration and exploitation duties more evenly in the optimization *** the selection of the best subset of features,we recommend using the binary ASSOA search strategy we developed *** to the suggested approach,the number of features picked is reduced while maximizing classification accuracy.A ten-feature dataset from the University of California,Irvine(UCI)repository was used to test the proposed method’s performance *** other state-of-the-art approaches,including binary grey wolf optimization(bGWO),binary hybrid grey wolf and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hybrid GWO and genetic algorithm 4028 CMC,2023,vol.74,no.2(bGWO-GA),binary firefly algorithm(bFA),and *** results confirm the superiority and effectiveness of the proposed algorithm for solving the problem of feature selection.

关键词： Metaheuristics adaptive squirrel search algorithm optimization methods binary optimizer

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Sliding Mode control in Power Converters and Drives: A Review

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 392-406页

作者： Ligang Wu Jianxing Liu Sergio Vazquez Sudip K.Mazumder IEEE Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China Electronic Engineering Department Universidad de Sevilla41092 SevillaSpain Electrical and Computer Engineering Department University of Illinois ChicagoChicagoIL 60607 USA

Sliding mode control(SMC)has been studied since the 1950s and widely used in practical applications due to its insensitivity to matched *** aim of this paper is to present a review of SMC describing the key developments and examining the new trends and challenges for its application to power electronic *** fundamental theory of SMC is briefly reviewed and the key technical problems associated with the implementation of SMC to power converters and drives,such chattering phenomenon and variable switching frequency,are discussed and *** recent developments in SMC systems,future challenges and perspectives of SMC for power converters are discussed.

关键词： Motor drive power electronics systems sliding mode control

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Detection of Perfect Stealthy Attacks on Cyber-Physical Systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

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Depth map cavity repair algorithm based on RGB image 8

Depth map cavity repair algorithm based on RGB image

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Sheng, Yiyang Fu, Haohai Jilin Institute of Chemical Technology School of Information and Control Engineering Jilin China School of Computer Science and Technology Changchun Institute of Technology Changchun China

ISBN: (纸本)9798350302455

The 3D reconstruction process often requires high-precision depth images. However, based on the limitations of the current depth sensor's own equipment and the influence of shootingobjects, environment and other factors, the obtained depth map often has cavities and noise. Aiming at the problem that the traditional depth map cavity repair algorithm can not take into account the cavity filling and object edge preservation, and can noteffectively use the RGB image information obtained synchronously, a cavity repair algorithm based on RGB image is proposed. The algorithm divides the cavities in the depth map into edge parts and non-edge parts by obtaining the edge information in the RGB image, and then uses different methods to repair the two parts of the cavities:For non-edge cavities, because the neighborhood depth value changes continuously, the neighborhood depth value is directly used for repair;for the cavity at the edge, due to the discontinuous change of the neighborhood depth value, the depthvalue corresponding to the pointwith the largest distance centerweight in the neighborhood is selected to repair the cavity by using the pixel points corresponding to the cavity in the RGB image and its neighborhood. The experimental results show that the algorithm makes full use of the RGB image information, which can accurately fill the depth map cavitys and effectively avoid the edge blur of the object. © 2023 IEEE.

关键词： Repair

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Test Circuit Design for Accurately Characterizing Cells' Output Currents in a Read-Decoupled 8T SRAM Array for Computing-in-Memory Applications 35

Test Circuit Design for Accurately Characterizing Cells' Out...

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35th International Conference on Microelectronic Test Structure, ICMTS 2023

作者： Hong, Hao-Chiao Lin, Long-Yi Chen, Bo-Chang Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Hsinchu30010 Taiwan Novatek MicroElectronics Corp. Hsinchu Taiwan

ISBN: (纸本)9798350346534

Computing-in-memory (CIM) is a promising technique for energy-efficiently conducting the massive amount of required multiply-And-Accumulate (MAC) calculations in neural networks (NNs). The read-decoupled 8T (RD8T) SRAM cell is popular in the CIM designs because of being read disturbance free. However, local process variations may lead significant errors to the CIM results. This work proposes an accurate on-chip test circuit design for characterizing the output current of every RD8T SRAM cell in a 8-kb RD8T SRAM array fabricated in 90nm CMOS. The experimental results show the detailed and accurate spatial distribution of the RD8T cells which helps optimize the CIM circuit design. © 2023 IEEE.

关键词： Static random access storage

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