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CCM-FL:Covert communication mechanisms for federated learning in crowd sensing IoT

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Digital Communications and Networks 2024年第3期10卷 597-608页

作者： Hongruo Zhang Yifei Zou Haofei Yin Dongxiao Yu Xiuzhen Cheng institute of intelligent Computing School of Computer Science and TechnologyShandong UniversityQingdao266237China

The past decades have witnessed a wide application of federated learning in crowd sensing,to handle the numerous data collected by the sensors and provide the users with precise and customized ***,how to protect the private information of users in federated learning has become an important research *** with the differential privacy(DP)technique and secure multiparty computation(SMC)strategy,the covert communication mechanism in federated learning is more efficient and energy-saving in training the ma-chine learning *** this paper,we study the covert communication problem for federated learning in crowd sensing Internet-of-Things *** from the previous works about covert communication in federated learning,most of which are considered in a centralized framework and experimental-based,we firstly proposes a centralized covert communication mechanism for federated learning among n learning agents,the time complexity of which is O(log n),approximating to the optimal ***,for the federated learning without parameter server,which is a harder case,we show that solving such a problem is NP-hard and prove the existence of a distributed covert communication mechanism with O(log logΔlog n)times,approximating to the optimal solution.Δis the maximum distance between any pair of learning *** analysis and nu-merical simulations are presented to show the performance of our covert communication *** hope that our covert communication work can shed some light on how to protect the privacy of federated learning in crowd sensing from the view of communications.

关键词： Covert communications Federated learning Crowd sensing SINR model

Deep Learning Based Automatic Charging Identification and Positioning Method for Electric Vehicle

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 3265-3283页

作者： Hao Zhu Chao Sun Qunfeng Zheng Qinghai Zhao School of Mechanical and Electrical Engineering Qingdao UniversityQingdao266071China School of Mechanical Engineering Beijing Institute of TechnologyBeijing100081China National Engineering research Center for intelligent Electrical Vehicle Power System Qingdao UniversityQingdao266071China

Electric vehicle charging identification and positioning is critically important to achieving automatic *** terms of the problem of automatic charging for electric vehicles,a dual recognition and positioning method based on deep learning is *** method is divided into two parts:global recognition and localization and local recognition and *** the specific implementation process,the collected pictures of electric vehicle charging attitude are classified and *** is trained with the improved YOLOv4 networkmodel and the corresponding detectionmodel is *** contour of the electric vehicle is extracted by the BiSeNet semantic segmentation *** minimum external rectangle is used for positioning of the electric *** on the location relationship between the charging port and the electric vehicle,the rough location information of the charging port is *** automatic charging equipment moves to the vicinity of the charging port,and the camera near the charging gun collects pictures of the charging *** model is detected by the Hough circle,the KM algorithmis used for featurematching,and the homography matrix is used to solve the *** results show that the dual identification and location method based on the improved YOLOv4 algorithm proposed in this paper can accurately locate the charging *** accuracy of the charging connection can reach 80%.It provides an effective way to solve the problems of automatic charging identification and positioning of electric vehicles and has strong engineering practical value.

关键词： Electric vehicle automatic charging identification and positioning deep learning

Localized MFS for three‐dimensional acoustic inverse problems on complicated domains

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International Journal of Mechanical System Dynamics 2022年第1期2卷 143-152页

作者： Zengtao Chen Fajie Wang Suifu Cheng Guozheng Wu National Engineering research Center for intelligent Electrical Vehicle Power System College of Mechanical and Electrical EngineeringInstitute of Mechanics for Multifunctional Materials and StructuresQingdao UniversityQingdaoChina

This paper proposes a semi‐analytical and local meshless collocation method,the loca-lized method of fundamental solutions(LMFS),to address three‐dimensional(3D)acoustic inverse problems in complex *** proposed approach is a recently developed numerical scheme with the potential of being mathematically simple,nu-merically accurate,and requiring less computational time and *** LMFS,an overdetermined sparse linear system is constructed by using the known data at the nodes on the accessible boundary and by making the remaining nodes satisfy the governing *** the numerical procedure,the pseudoinverse of a matrix is solved via the truncated singular value decomposition,and thus the regularization techniques are not needed in solving the resulting linear system with a well‐conditioned *** experiments,involving complicated geometry and the high noise level,confirm the ef-fectiveness and performance of the LMFS for solving 3D acoustic inverse problems.

关键词： acoustic inverse problems localized method of fundamental solutions 3D Helmholtz equation meshless method inverse Cauchy problem

Localized Method of Fundamental Solutions for Acoustic Analysis Inside a Car Cavity with Sound-Absorbing Material

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Advances in Applied Mathematics and Mechanics 2023年第1期15卷 182-201页

作者： Zengtao Chen Fajie Wang College of Mechanical and Electrical Engineering National Engineering Research Center for Intelligent Electrical Vehicle Power SystemQingdao UniversityQingdaoShandong 266071China institute of Mechanics for Multifunctional Materials and Structures Qingdao UniversityQingdaoShandong 266071China

This paper documents the first attempt to apply a localized method of fundamental solutions(LMFS)to the acoustic analysis of car cavity containing soundabsorbing *** LMFS is a recently developed meshless approach with the merits of being mathematically simple,numerically accurate,and requiring less computer time and *** with the traditional method of fundamental solutions(MFS)with a full interpolation matrix,the LMFS can obtain a sparse banded linear algebraic system,and can circumvent the perplexing issue of fictitious boundary encountered in the MFS for complex solution *** the LMFS,only circular or spherical fictitious boundary is *** on these advantages,the method can be regarded as a competitive alternative to the standard method,especially for high-dimensional and large-scale *** benchmark numerical examples are provided to verify the effectiveness and performance of the present method for the solution of car cavity acoustic problems with impedance conditions.

关键词： Acoustic analysis localized method of fundamental solutions car cavity soundabsorbing material

Parallel-Data-Based Social Evolution Modeling

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Tsinghua Science and Technology 2021年第6期26卷 878-885页

作者： Weishan Zhang Zhaoxiang Hou Xiao Wang Zhidong Xu Xin Liu Fei-Yue Wang China University of Petroleum Qingdao 266580China qingdao Academy of intelligent Industry Qingdao 266111China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100049China institute of National Security National Defense UniversityBeijing 100081China

Abnormal or drastic changes in the natural environment may lead to unexpected events,such as tsunamis and earthquakes,which are becoming a major threat to national ***,no effective assessment approach can deduce a situation and determine the optimal response strategy when a natural disaster *** this study,we propose a social evolution modeling approach and construct a deduction model for self-playing,self-learning,and self-upgrading on the basis of the idea of parallel data and reinforcement *** proposed approach can evaluate the impact of an event,deduce the situation,and provide optimal strategies for *** the breakage of a submarine cable caused by earthquake as an example,we find that the proposed modeling approach can obtain a higher reward compared with other existing methods.

关键词： paral el data reinforcement learning decision-making

Robust Topology Optimization of Vehicle Suspension Control Arm

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Journal of Beijing institute of Technology 2019年第3期28卷 626-634页

作者： Xiaokai Chen Cheng Zhang Qinghai Zhao School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China National and Local Union Engineering research Center of Electric Vehicle intelligent Power Integration Technology Qingdao UniversityQingdao 266071ShandongChina

A robust topology optimization design framework is developed to solve lightweight structural design problems under uncertain conditions. To enhance the calculation accuracy and flexibility of the statistical moments of robust analysis, number theory integral method is applied to sample point selection and weight assignment. Both the structure topology optimization and number theory integral methods are combined to form a new robust topology optimization method. A suspension control arm problem is provided as a demonstration of robust topology optimization methods under loading uncertainties. Based on the results of deterministic and robust topology optimization, it is demonstrated that the proposed robust topology optimization method can produce a more robust design than that obtained by deterministic topology optimization. It is also found that this new approach is easy to apply in the existing commercial topology optimization software and thus feasible in practical engineering problems.

关键词： robust topology optimization (RTO) number theory integral suspension control arm uncertainty deterministic topology optimization (DTO)

A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories

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IEEE/CAA Journal of Automatica Sinica 2019年第4期6卷 961-968页

作者： Xiuqin Shang Dayong Shen Fei-Yue Wang Timo R. Nyberg the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of Sciences (CAS)Beijing 100190China the qingdao Academy of intelligent Industries Qingdao 266109China IEEE the Beijing Enineering research Center of intelligent Systems and Technology Institute of AutomationCASBeijing 100190China the Cloud Computing Center CASDongguan 523808China the School of Science at Aalto University AaltoFinland

We study the fabric spreading and cutting problem in apparel *** the sake of saving the material costs,the cutting requirement should be met exactly without producing additional garment *** reducing the production costs,the number of lays that corresponds to the frequency of using the cutting beds should be *** propose an iterated greedy algorithm for solving the fabric spreading and cutting *** algorithm contains a constructive procedure and an improving *** the constructive procedure creates a set of lays in sequence,and then the improving loop tries to pick each lay from the lay set and rearrange the remaining lays into a smaller lay *** improving loop will run until it cannot obtain any smaller lay set or the time limit is *** experiment results on 500 cases show that the proposed algorithm is effective and efficient.

关键词： Construction and improvement cutting and packing fabric spreading and cutting heuristic algorithm

Geometric quality evaluation of three-dimensional printable concrete using computational fluid dynamics

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 963-976页

作者： Weijiu CUI Haijun SUN Jiangang ZHOU Sheng WANG Xinyu SHI Yaxin TAO Department of Civil Engineering Qingdao University of TechnologyQingdao 266000China Innovation institute for Sustainable Maritime Architecture research and Technology Qingdao University of TechnologyQingdao 266000China intelligent Construction Lab Qingdao University of TechnologyQingdao 266000China Shandong Zhaojin Industrial Development Co. Ltd.Yantai 264000China Architectural Engineering institute Weifang Engineering Vocational CollegeWeifang 261000China Qingjian Group Co. Ltd.Qingdao 266000China College of Architecture and Urban Planning Qingdao University of TechnologyQingdao 266000China Department of Structural Engineering and Building Materials Ghent UniversityGhent 9000Belgium institute of Building Materials ETH ZurichZurich 8064Switzerland

The importance of geometrical control of three dimensional(3D)printable concrete without the support of formwork is widely *** this study,a numerical model based on computational fluid dynamics was developed to evaluate the geometrical quality of a 3D printed *** numerical results were compared,using image analysis,with physical cross-sectional sawn *** influence of printing parameters(printing speed,nozzle height,and nozzle diameter)and the rheological behavior of printed materials(yield stress),on the geometrical quality of one printed layer was *** addition,the yield zone of the printed layer was analyzed,giving insights on the critical factors for geometrical control in 3D concrete *** indicated that the developed model can precisely describe the extrusion process,as well as the cross-sectional quality.

关键词： digital fabrication 3D concrete printing geometric quality computational fluid dynamics printing parameters yield stress

From Mind to Products:Towards Social Manufacturing and Service

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 47-57页

作者： Gang Xiong Fei-Yue Wang Timo R. Nyberg Xiuqin Shang Mengchu Zhou Zhen Shen Shuangshuang Li Chao Guo Key Laboratory for Management and Control of Complex Systems Institute of Automation Beijing 100190 China School of Science at Aalto University Aalto FI-00076 Finland Laboratory for Discrete Event Systems New Jersey Institute of Technology NJ-07102 USA Beijing Engineering research Center of intelligent Systems and Technology Institute of Automation Beijing 100190 China qingdao Academy of intelligent Industries Qingdao 266109 China Cloud Computing Center Dongguan 523808 China IEEE

After reviewing the development of industrial manufacturing, a novel concept called social manufacturing(SM) and service are proposed as an innovative manufacturing solution for the coming personalized customization era. SM can realize a customer's requirements of "from mind to products", and fulfill tangible and intangible needs of a prosumer, i.e., producer and consumer at the same time. It represents a manufacturing trend,and is expected to become popular in more and more ***, a comparison between mass customization and SM is given out, and the basis and motivation from social network to SM is analyzed. Then, its basic theories and supporting technologies,like Internet of Things(Io T), social networks, cloud computing,3 D printing, and intelligent systems, are introduced and analyzed,and an SM platform prototype is developed. Finally, three transformation modes towards SM and 3 D printing are suggested for different user cases.

关键词： Big data cloud computing intelligent system social manufacturing social networks 3D printing