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8th IEEE Data Driven control and Learning systems Conference, DDCLS 2019

作者： Liu, Han Wang, Wenqing Jiao, Pengfei Shanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'An University of Technology Xi'an710048 China

ISBN: (纸本)9781728114545

During the last two decades, content-based image retrieval (CBIR) has been widely studied. The limitations of low-level feature representation of images have been a thorny issue in image retrieval problems. In this paper, a CBIR algorithm based on sparse representation and feature fusion is proposed, in which global features and local features are combined to retrieve the images. Firstly, the GIST features are used to roughly retrieve the images with similar scene information by measuring Canberra distance. Then, a representation of the local features extracted from the rough retrieval results is obtained by sparse coding and feature pooling. Finally, Euclidean distance is used to measure the similarity of the sparse feature vectors to obtain the retrieval results. The proposed method is tested on the Coil20 and Caltech256 image datasets. The experimental results demonstrate that the proposed algorithm can achieve comparable superior retrieval performance to the existing single feature-based image retrieval algorithms. © 2019 IEEE.

关键词： Image fusion

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Applications of MXenes in human-like sensors and actuators

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Nano Research 2023年第4期16卷 5767-5795页

作者： Jinbo Pang Songang Peng Chongyang Hou Xiao Wang Ting Wang Yu Cao Weijia Zhou Ding Sun Kai Wang Mark H.Rümmeli Gianaurelio Cuniberti Hong Liu Institute for Advanced Interdisciplinary Research(iAIR) Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of ShandongUniversity of JinanJinan 250022China Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresden 01069Germany Center for Advancing Electronics Dresden Technische Universität DresdenDresden 01069Germany Dresden Center for Computational Materials Science Technische Universität DresdenDresden 01062Germany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität DresdenDresden 01062Germany High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Microelectronic Devices&Integrated Technology Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Shenzhen Key Laboratory of Nanobiomechanics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Biobased Material and Green Papermaking Qilu University of TechnologyShandong Academy of SciencesJinan 250353China School of Bioengineering Qilu University of TechnologyShandong Academy of ScienceJinan 250353China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Ministry of Education) Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Weihai Innovation Research InstituteQingdao UniversityQingdao 266000China School of Electrical and Computer Engineering Jilin Jianzhu UniversityChangchun 130118China Institute for Complex Materials Leibniz Institute for Solid State and Materials Research Dresden(IFW Dresden)20 Helmholtz StrasseDresden 01069Germany College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006China Key L

Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and *** first five senses are prerequisites for people to *** sensing organs upload information to the nervous systems,including the brain,for interpreting the surrounding ***,the brain sends commands to muscles reflexively to react to stimuli,including light,gas,chemicals,sound,and ***,as an emerging two-dimensional material,has been intensively adopted in the applications of various sensors and *** this review,we update the sensors to mimic five primary senses and actuators for stimulating muscles,which employ MXene-based film,membrane,and composite with other functional ***,a brief introduction is delivered for the structure,properties,and synthesis methods of ***,we feed the readers the recent reports on the MXene-derived image sensors as artificial retinas,gas sensors,chemical biosensors,acoustic devices,and tactile sensors for electronic ***,the actuators of MXene-based composite are ***,future opportunities are given to MXene research based on the requirements of artificial intelligence and humanoid robot,which may induce prospects in accompanying healthcare and biomedical engineering applications.

关键词： MXenes sensors actuators gas sensors biosensors tactile sensors sound sensors artificial retina

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Key Techniques on Unified Identity Authentication in OpenMBEE Integration

Key Techniques on Unified Identity Authentication in OpenMBE...

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IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Chaoqun Feng Penghua Liu Hongyan Quan Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Simulation Center Science and Technology on Space System Simulation Laboratory Beijing China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781728188577

In order to make full use of the concept of model-based systems engineering (MBSE) and the collaborative design capability of the open model-based engineering environment (OpenMBEE) in establishing complex product development platform, we propose an effective method to solve the problem of unified identity authentication in OpenMBEE integration. The proposed method is based on the Model View controller(MVC) architecture in OpenMBEE, which has the characteristics strong plasticity and can be benefit for expanding the function in the controller layer. In our research, we make full use of the Software Development Kit (SDK) of OpenMBEE to expand the existing functions in the controller layer, and increase the function of communicating with the application development platform, then realize the function of sharing user authentication information between the development platform and OpenMBEE. After expansion, the system includes three modules, including the Front-end Service Module(FSM), MQ based Information Receiving Service Module(IFRSM), and the OpenMBEE Backend Server Module(BSM). The effectiveness of the proposed strategies is verified by some practical instances, which verifies that our study can provide an effective design idea for the identity authentication in OpenMBEE integration.

关键词： Analytical models Databases Authentication Computer architecture control systems Data models Software

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The Multi-Blockchain Based Data Trading Markets with Novel Pricing Mechanisms

SSRN

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SSRN 2022年

作者： Li, Juanjuan Li, Junqing Wang, Xiao Qin, Rui Yuan, Yong Wang, Fei-Yue The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Qingdao Academy of Intelligent Industries Qingdao266109 China School of Mathematics Renmin University of China Beijing100872 China Macao Institute of Systems Engineering Macau University of Science and Technology Macau 999078 China

Aiming to deal with the challenge of data security and data pricing in data trading markets, we propose the novel multi-blockchain-based framework and design the related pricing mechanisms. Specifically, data recording and trading are conducted separately in the Data Blockchain (DChain) and the Value Blockchain (VChain). Based on these blockchains, two-layer data trading markets are established to manage the initial data trading in the primary market and the data resale in the secondary market. Pricing mechanisms are proposed to protect the formulated data trading markets against strategic trading behaviors and balance the payoffs of both suppliers and users. In the regular data trading on VChain-S2D, two auction models are used to deal with users' strategic bidding in terms of the demand scale, where the incentive-compatible Vickrey-Clarke-Groves (VCG) model is dedicated to the low-demand trading scenario, while the nearly incentive-compatible Monopolistic Price (MP) model is for the high-demand trading scenario. In the temporary data trading on VChain-D2S, a reverse auction mechanism named Two-Stage Obscure Selection (TSOS) is designed to regulate both suppliers' quoting and users' valuation strategies. Moreover, experiments are carried out to validate our theoretical analysis. Our work is expected to enhance the data security and improve the trading efficiency. © 2022, The Authors. All rights reserved.

关键词： Blockchain

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A review of cooperative path planning of an unmanned aerial vehicle group

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Frontiers of Information technology & Electronic Engineering 2020年第12期21卷 1671-1694页

作者： Hao ZHANG Bin XIN Li-hua DOU Jie CHEN Kaoru HIROTA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081China Department of Computational Intelligence and Systems Science Tokyo Institute of TechnologyTokyo 1528550Japan

As a cutting-edge branch of unmanned aerial vehicle(UAV)technology,the cooperation of a group of UAVs has attracted increasing attention from both civil and military sectors,due to its remarkable merits in functionality and flexibility for accomplishing complex extensive tasks,e.g.,search and rescue,fire-fighting,reconnaissance,and *** path planning(CPP)is a key problem for a UAV group in executing tasks *** this paper,an attempt is made to perform a comprehensive review of the research on CPP for UAV ***,a generalized optimization framework of CPP problems is proposed from the viewpoint of three key elements,i.e.,task,UAV group,and environment,as a basis for a comprehensive classification of different types of CPP *** following the proposed framework,a taxonomy for the classification of existing CPP problems is proposed to describe different kinds of CPPs in a unified ***,a review and a statistical analysis are presented based on the taxonomy,emphasizing the coordinative elements in the existing CPP *** addition,a collection of challenging CPP problems are provided to highlight future research directions.

关键词： Unmanned aerial vehicle group Cooperation Path planning Optimization problem

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A New Method of EMI Estimation among Low Altitude Aircrafts on Sea Surface

A New Method of EMI Estimation among Low Altitude Aircrafts ...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Yanyan Wang Kangkang Gao Jiangnan Xing Tao Jiang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (数字)9781728134482

ISBN: (纸本)9781728134499

There is a certain amount of RF facilities on the low-altitude aircrafts that could cause electromagnetic interference within the platform, the electromagnetic interference between platforms is the key to influence the electromagnetic compatibility of aircraft platform. Specific systems have been developed to provide collision avoidance and early warning schemes for potential physical collisions between aircraft. With the increase in the number of ground and air vehicles and the radiation power of radio frequency equipment, the marine electromagnetic environment is deteriorating day by day. There is no effective solution to the electromagnetic "collision" among aircrafts that caused by electromagnetic interference, which is needed to be solved. This paper draws lessons from the idea that physical collision between aircrafts can be predicted and analyzed by using space trajectory model and avoided collision, then proposed aircraft navigation trajectory equation, the forecast analysis of the location of the vehicle at any time, heading, speed and acceleration information, using airborne electromagnetic emission equipment antenna model, calculated the sea low-flying aircraft airborne radio system of electromagnetic radiation, the use of the electronic equipment receiving antenna gain and receiver sensitivity, combined with the value of standard, the interference matrix which can describe the degree of electromagnetic radiation hazard between single machine and multiple machine is established. In this paper, the theoretical model of aircraft trajectory dynamics is seamlessly transformed into the electromagnetic collision field of low-altitude aircraft. Based on the dynamic evaluation method of electromagnetic interference level, the risk analysis of electromagnetic collision probability of aircraft is carried out, which can provide powerful technical support for solving electromagnetic interference problem of aircraft, which has important reference value for design, tes

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Study on Sensitization Mechanism of Novel Magnetorheological Composite Pdms Thin Film Based on Enhanced Magneto-Mechanical Effect

SSRN

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SSRN 2023年

作者： Sang, Shengbo Tan, Qiuyun Jiang, Jiaolin Wu, Kaile Xiao, Pengli Zhao, Dong Guo, Xing Yang, Zhuoqing Dong, Xiushan Ge, Yang Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shanghai200240 China Shanxi Academy of Medical Sciences China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030024 China

High sensitivity is key to expand the range of bio-detection, especially in realizing biological detection on single molecular level. Herein, we introduce a novel magnetorheological membrane with enhanced magneto-mechanical effect into the biosensor. Specifically, we made the magnetorheological composite PDMS film (MREF) strengthened by magnetostrictive particles (MSP), and the anisotropic TbDyFe-PDMS can be magnetically deformed to 90 °with 5.8 emu/g, which possesses an initial tensile modulus 55% higher than isotropic. In particular, the modified MR effect equations were proposed considering magnetic dipole interaction and nonlinear magnetostrictive pre-strain of MSP. Such formulae indicate that the enhanced MR effect of MSP-MREF is greatly determined by Ms, remanence, and the flux linkage-like structure. In addition, finite element simulations were carried out to validate and complementarily demonstrate the nonlinear magneto-mechanical behaviors of MSP-MREF theoretically. Finally, the biosensor based on MSP-MREF was fabricated to detect the low concentrations of human serum albumin (HSA), and its sensitivity is around 4 times that of the conventional biosensor. Furthermore, it exhibits high reliability in detecting HSA in real human urine samples, making it the ideal candidate as a practical and effective way for the detection of biomolecules at low concentrations in the future. © 2023, The Authors. All rights reserved.

关键词： Finite element method

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Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting

arXiv

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arXiv 2022年

作者： Gao, Jiaqi Huang, Zhizhong Lei, Yiming Shan, Hongming Wang, James Z. Wang, Fei-Yue Zhang, Junping The Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China The Institute of Science and Technology for Brain-inspired Intelligence MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China The Shanghai Center for Brain Science and Brain-Inspired Technology Shanghai201210 China The College of Information Sciences and Technology The Pennsylvania State University University ParkPA16802 United States The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Institute of Systems Engineering Macau University of Science and Technology China Qingdao Academy of Intelligent Industries Qingdao266109 China

Most conventional crowd counting methods utilize a fully-supervised learning framework to establish a mapping between scene images and crowd density maps. They usually rely on a large quantity of costly and time-intensive pixel-level annotations for training supervision. One way to mitigate the intensive labeling effort and improve counting accuracy is to leverage large amounts of unlabeled images. This is attributed to the inherent self-structural information and rank consistency within a single image, offering additional qualitative relation supervision during training. Contrary to earlier methods that utilized the rank relations at the original image level, we explore such rank-consistency relation within the latent feature spaces. This approach enables the incorporation of numerous pyramid partial orders, strengthening the model representation capability. A notable advantage is that it can also increase the utilization ratio of unlabeled samples. Specifically, we propose a Deep Rank-consistEnt pyrAmid Model (DREAM), which makes full use of rank consistency across coarse-to-fine pyramid features in latent spaces for enhanced crowd counting with massive unlabeled images. In addition, we have collected a new unlabeled crowd counting dataset, FUDAN-UCC, comprising 4,000 images for training purposes. Extensive experiments on four benchmark datasets, namely UCF-QNRF, ShanghaiTech PartA and PartB, and UCF-CC-50, show the effectiveness of our method compared with previous semi-supervised methods. The codes are available at https://***/bridgeqiqi/DREAM. Copyright © 2022, The Authors. All rights reserved.

关键词： Image enhancement

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Improved Comprehensive Inertial control for ESS Participating Primary Frequency Regulation Based on Fuzzy control 5

Improved Comprehensive Inertial Control for ESS Participatin...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Xiang, Yongjian Xu, Yunhui Zhou, Tao Dai, Zhongjian Ren, Bixing Zhang, Lei Nanjing University of Science and Technology School of Automation Nanjing China State Grid Lishui Power Supply Company Substation Operation Inspection Center Lishui China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Changzhou Power Supply Company Operation and Maintenance Department Changzhou China Jiangsu Electric Power Test Research Institute Co. Ltd. Nanjing China China Classification Society Product Plan Approval Center Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

ESS (energy storage system) has many advantages such as flexible control, large throughput capacity and fast response speed and can provide strong support for system frequency stability with larger-scale renewable energy. In order to enhance the frequency regulation effect of ESS, this paper proposes an improved comprehensive inertia control strategy based on FC (fuzzy control). The conventional droop control is replaced by fuzzy control to improve the regulation performance and adaptivity of the whole process. SOC (state of charge) is adopted as the input of FC to consider the secure and stable constraints of ESS. In addition, FC is also applied to adjust the virtual inertia coefficients online. The proposed strategy combines the advantages of comprehensive inertial control and adaptive control and improve the frequency supporting ability of ESS under different operation conditions. Finally, simulations are conducted to demonstrate the feasibility of the proposed method. © 2022 IEEE.

关键词： Fuzzy control

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Zero-shot Learning Based on Semantic Embedding for Ship Detection

Zero-shot Learning Based on Semantic Embedding for Ship Dete...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Zihan Zhang Jiajia Zhoa Xinkai Liang School of Electronics and Information Northwestern Polytechnical University Xi’an Shaanxi China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Bejing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

Zero-shot detection (ZSD) is a hot topic, which can detect unseen object without training on it. This new approach rises several challenges, e.g., the imbalance between positive and negative data, ambiguity between background and unseen classes, and how to align visual feature and semantic concept. In this paper, we apply an end-to-end zero-shot network to fulfil ZSD, where polarity loss is utilized to train detection model. polarity loss puts more importance on difficult data to reduce class imbalance and can maximize the difference between positive and negative predictions. Then, we use a semantic embedding method that use word vectors in both classification and regression subnets to better align visual features and semantic features. Finally, we use MS-COCO dataset as seen classes to train detection model, then we transfer the model for our own to detect warship object. Our model performs good on unseen classes and test accuracy of using polarity loss is apparently higher than that of using focal loss.

关键词： Semantics Visualization Vocabulary Training Feature extraction Object detection Measurement

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