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A review of deep learning methods for pixel-level crack detection

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Journal of Traffic and Transportation engineering(English Edition) 2022年第6期9卷 945-968页

作者： Hongxia Li Weixing Wang Mengfei Wang Limin Li Vivian Vimlund School of Information engineering Chang'an UniversityXi'an 710064China School of Computer Baoji University of Arts and SciencesBaoji 721013China School of electrical and Electronic engineering Wenzhou UniversityWenzhou 325035China Department of Computer Science and Technology Linkoping UniversityLinköpingSweden

Cracks are a major sign of aging transportation *** detection and repair of cracks is the key to ensuring the overall safety of the transportation *** recent years,due to the remarkable success of deep learning(DL)in the field of crack detection,many researches have been devoted to developing pixel-level crack image segmentation(CIS)models based on DL to improve crack detection accuracy,but as far as we know there is no review of DL-based CIS methods *** address this gap,we present a comprehensive thematic survey of DL-based CIS *** review offers several contributions to the CIS ***,more than 40 papers of journal or top conference most published in the last three years are identified and collected based on the systematic literature review ***,according to the backbone network architecture of the models proposed in them,they are grouped into 10 topics:FCN,U-Net,encoder-decoder model,multi-scale,attention mechanism,transformer,two-stage detection,multi-modal fusion,unsupervised learning and weakly supervised learning,to be ***,our survey focuses on discussing strengths and limitations of the models in each topic so as to reveal the latest research progress in the CIS ***,publicly accessible data sets,evaluation metrics,and loss functions that can be used for pixel-level crack detection are systematically introduced and summarized to facilitate researchers to select suitable components according to their own research ***,we discuss six common problems and existing solutions to them in the field of DL-based CIS,and then suggest eight possible future research directions in this field.

关键词： Crack image segmentation Crack detection Convolutional neural networks Deep learning Systematic literature review

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Aggregation-induced dual-color luminogen with enhanced chiroptical property

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Science China Chemistry 2022年第9期65卷 1679-1680页

作者： Wen Su Fanglong Yuan CAS Center for Excellence in Nanoscience National Center for Nanoscience and TechnologyBeijing 100190China Department of Physics Chemistryand Biology(IFM)Linkoping UniversityLinkoping 58183Sweden Department of electrical and Computer engineering University of TorontoTorontoM5S 2E8 OntarioCanada

Aggregation-induced emission(AIE),which was first proposed by Tang et al.[1]in 2001,describes a photophysical phenomenon that organic molecules can show much stronger light emission in aggregated state than that of si... 详细信息

关键词： state property diluted

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Real Time Automation and Ratio Control Using PLC&SCADA in Industry 4.0

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Computer Systems Science & engineering 2023年第5期45卷 1495-1516页

作者： Basant Tomar Narendra Kumar Mini Sreejeth dept of electrical engineering Delhi Technological UniversityDelhi 110042India

Industrial Control Systems(ICS)and SCADA(Supervisory Control and Data Acquisition)systems play a critical role in the management and regulation of critical *** systems brings us closer to the real-time application *** process and equipment control capability is typically provided by a Distributed Control System(DCS)in industries such as power stations,agricultural systems,chemical and water treatment *** of control through DCS,this paper proposes a SCADA and PLC(Programmable Logic Controller)system to control the ratio control division and the assembly line division inside the chemical plant.A specific design and implementation method for development of SCADA/PLC based real time ratio control and automated assembly line system in a chemical plant is *** assembly line division is further divided into sorting stage,filling stage and the auxiliary stage,which includes the capping unit,labelling unit and then the *** the ratio control division,we have defined the levels inside the mixer and ratio of the raw materials through human machine interface(HMI)*** ratio of raw materials is kept constant on the basis of flow rates of wild stream and manipulated *** is a flexibility in defining new levels and the ratios of the raw materials inside the *** here we taken the predefined levels(low,medium,high)and ratios(3:4,2:1,2:5).Control valves are used for regulating the flow of the *** the assembly line division,the containers are sorted on the basis of size and type of material used i.e.,big sized metallic containers and small sized non-metallic containers by inductive and capacitive proximity *** the processes are facilitated with laser beam type or reflective type sensors on the conveyor *** a highly stable and dependable PLC/SCADA system instead of Distributed Control System is required to achieve automatic management and control of chemical industry processes to reduce

关键词： Industry 4.0 ratio control automation PLC SCADA control valves proximity sensors conveyor system solenoid valves

Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 801-811页

作者： Antonio Bono Luigi D'Alfonso Giuseppe Fedele Veysel Gazi IEEE Department of Informatics ModelingElectronics and Systems EngineeringUniversity of CalabriaRende 87036Italy dept.electrical and Electronics Eng. Faculty of EngineeringMarmara UniversityIstanbul 34722 Department of Control and Automation engineering Faculty of Electrical and Electronics EngineeringYildiz Technical UniversityEsenler 34220Turkey

In this paper we focus on the target capturing problem for a swarm of agents modelled as double integrators in any finite space *** agent knows the relative position of the target and has only an estimation of its velocity and *** that the estimation errors are bounded by some known values,it is possible to design a control law that ensures that agents enter a user-defined ellipsoidal ring around the moving *** know the relative position of the other members whose distance is smaller than a common detection ***,in the case of no uncertainty about target data and homogeneous agents,we show how the swarm can reach a static configuration around the moving *** simulations are reported to show the effectiveness of the proposed strategy.

关键词： Agents-based systems cooperative control swarms target-capturing

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An overview of various control benchmarks with a focus on automotive control

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Control Theory and Technology 2019年第2期17卷 121-130页

作者： Lars ERIKSSON Vehicular Systems Department of Electrical EngineeringLinkoping UniversitySE-581 83 LinkopingSweden

There exists a gap between control theory and control practice,i.e.,all control methods suggested by researchers are not implemented in real systems and,on the other hand,many important in dustrial problems are not studied in the academic *** problems can help close this gap and provide many opportunities for members in both the controls theory and application *** goal is to survey and give pointers to different general controls and modeling related benchmark problems that can serve as inspiration for future benchmarks and then specifically focus the benchmark coverage on automotive control engineering *** the paper reflections are given on how different categories of benchmark designers,benchmark solvers and third part users can benefit from providing,solving,and studying benchmark *** paper also collects information about several benchmark problems and gives pointers to papers than give more detailed information about different problems that have been presented.

关键词： Benchmark automotive control robust control robotics engine control powertrain control system identification

RFID-based 3D human pose tracking: A subject generalization approach

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Digital Communications and Networks 2022年第3期8卷 278-288页

作者： Chao Yang Xuyu Wang Shiwen Mao dept.of electrical and Computer engineering Auburn UniversityAuburnAL36849-5201USA dept.of Computer Science California State UniversitySacramentoCA95819-6021USA

Three-dimensional (3D) human pose tracking has recently attracted more and more attention in the computer vision field. Real-time pose tracking is highly useful in various domains such as video surveillance, somatosensory games, and human-computer interaction. However, vision-based pose tracking techniques usually raise privacy concerns, making human pose tracking without vision data usage an important problem. Thus, we propose using Radio Frequency Identification (RFID) as a pose tracking technique via a low-cost wearable sensing device. Although our prior work illustrated how deep learning could transfer RFID data into real-time human poses, generalization for different subjects remains challenging. This paper proposes a subject-adaptive technique to address this generalization problem. In the proposed system, termed Cycle-Pose, we leverage a cross-skeleton learning structure to improve the adaptability of the deep learning model to different human skeletons. Moreover, our novel cycle kinematic network is proposed for unpaired RFID and labeled pose data from different subjects. The Cycle-Pose system is implemented and evaluated by comparing its prototype with a traditional RFID pose tracking system. The experimental results demonstrate that Cycle-Pose can achieve lower estimation error and better subject generalization than the traditional system.

关键词： Radio-frequency identification(RFID) Three-dimensional(3D)human pose tracking Cycle-consistent adversarial network Generalization

De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization

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Chinese Journal of Electronics 2023年第1期32卷 166-176页

作者： Rizwan Sadiq Muhammad Bilal Qureshi Muhammad Mohsin Khan dept.of electrical and Electronic engineering Koc University dept.of electrical and Computer engineering COMSATS University dept.of Radiology and Biomedical Imaging Yale University Sino-Pak Center for Artificial Intelligence (SPCAI) Pak-Austria Fachhochschule:Institute of Applied Sciences and Technology (PAF-IAST)

Synthetic aperture radar(SAR) imaging is an efficient strategy which exploits the properties of microwaves to capture images. A major concern in SAR imaging is the reconstruction of image from back scattered signals in the presence of noise. The reflected signal consist of more noise than the target signal and it is a challenging problem to reduce the noise in the collected signal for better reconstruction of an image. Current studies mostly focus on filtering techniques for noise removal. This can result in an undesirable point spread function causing extreme smearing effect in the desired image. In order to handle this problem, a computational technique, particle swarm optimization(PSO) is used for de-noising purpose and later the target performance is further improved by an amalgamation of Wiener ***, to improve the de-noising performance we have exploited the singular value decomposition based morphological filtering. To justify the proposed improvements we have simulated the proposed techniques and results are compared with the conventional existing models. The proposed method revealed considerable decrease in mean square error compared to Wiener filter and PSO techniques. Quantitative analysis of image restoration quality are also presented in comparison with Wiener filter and PSO based on the improvement in signal to noise ratio and peak signal to noise ratio.

关键词： Radar remote sensing Wiener filters Filtering Statistical analysis Radar polarimetry Particle swarm optimization Synthetic aperture radar

Bi-level Optimal Planning of Voltage Regulator in Distribution Systems Considering Maximization of Incentive-based Photovoltaic Energy Integration

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2008-2017页

作者： Xu Xu Youwei Jia Chun Sing Lai Minghao Wang Zhao Xu Department of electrical and Electronic engineering Southern University of Science and TechnologyShenzhenChina Department of electrical engineering The Hong Kong Polytechnic UniversityHung HomHong Kong SARChina Department of electrical and Electronic engineering University Key Laboratory of Advanced Wireless Communications of Guangdong ProvinceSouthern University of Science and TechnologyShenzhen 515100China Department of Electronic and Computer engineering Brunel Institute of Power SystemsBrunel University LondonLondonUB83PH United Kingdom Department of electrical engineering Shenzhen Research InstituteThe Hong Kong Polytechnic UniversityHung HomHong Kong SARChina

This paper focuses on optimal voltage regulator(VR)planning to maximize the photovoltaic(PV)energy integration in distribution *** describe the amount of dynamic PV energy that can be integrated into the power system,the concept of PV accommodation capability(PVAC)is introduced and modeled with *** proposed planning model is formulated as a Benders decomposition based bi-level stochastic optimization *** the upper-level problem,VR planning decisions and PVAC are determined via mixed integer linear programming(MILP)before considering *** in the lower-level problem,the feasibility of first-level results is checked by critical network constraints(*** magnitude constraints and line capacity constraints)under uncertainties considered by time-varying loads and PV *** this paper,these uncertainties are represented in the form of operational scenarios,which are generated by the Gaussian copula theory and reduced by a well-studied backward-reduction *** modified IEEE 33-node distribution grid is utilized to verify the effectiveness of the proposed *** results demonstrate that a PV energy integration can be significantly enhanced after optimal voltage regulator planning.

关键词： Bi-level stochastic optimization problem critical network constraints photovoltaic energy integration uncertainties voltage regulator planning

Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution

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Control Theory and Technology 2022年第2期20卷 145-160页

作者： Fuguo Xu Hiroki Tsunogawa Junichi Kako Xiaosong Hu Shengbo Eben Li Tielong Shen Lars Eriksson Carlos Guardiola Department of engineering and Applied Sciences Sophia UniversityTokyo 102-8554Japan Higashi-Fuji Research Center Toyota Motor Corporation.Shizuoka 410-1107Japan The State Key Laboratory of Mechanical Transmissions Chongqing UniversityChongqing 400044China The State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China Vehicular Systems Department Electrical EngineeringLinkoping UniversitySE 58183Linkoping.Sweden Departamento de Maquinas y Motores Termicos Universitat Politecnica de Valencia.Camino de Vera s/n46022 ValenciaSpain

In this paper,we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles(HEVs)on a road with ***,it is assumed that the targeted HEVs are in the connected environment with the obtainment of real-time information of vehicle-to-everything(V2X),including geographic information,vehicle-to-infrastructure(V2I)information and vehicle-to-vehicle(V2V)*** provided simulator consists of an industrial-level HEV model and a traffic scenario database obtained through a commercial traffic simulator,where the running route is generated based on real-world data with slope and intersection *** benchmark problem to be solved is the HEVs powertrain control using traffic information to fulfill fuel economy improvement while satisfying the constraints of driving safety and travel *** show the HEV powertrain characteristics,a case study is given with the speed planning and energy management strategy.

关键词： Powertrain control Connected and automated vehicles Hybrid electric vehicles Vehicle-to-everything