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Power and Energy Conference at Illinois (PECI)

作者： M. Ghofrani C. Hsu M. Majidi School of STEM University of Washington Bothell Bothell USA System Protection Automation and Control Engineering department San Diego Gas and Electric (SDG&E) San Diego USA

This paper proposes a charging/discharging optimization framework for electric vehicles (EVs) in coordination with renewable distributed generation (DG). The proposed framework integrates market and operational objectives to provide economic benefits for both entities while ensuring reliable operation of the distribution system. The market objective is to minimize the renewable under/over production and the operational objective is to minimize the annual cost of the distribution system. A market-based optimization is first developed and evaluated for its potential adverse grid effects. A capacitor siting/sizing optimization is then proposed to reduce such effects. The integration of these optimization methods provides the proposed EV-renewable DG coordination. The coordination framework is tested on a real 13.8 kV, 134-bus distribution network and its efficiency is assessed by several case studies.

关键词： Simulation Capacitors Optimization methods Production Distribution networks Electric vehicles Distributed power generation

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Recent developments and trends of automatic nucleic acid detection systems

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Journal of Biosafety and Biosecurity 2022年第1期4卷 54-58页

作者： Xujun Yuan Guodong Sui Dawei Zhang Min Chen Wang Zhao Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center University of Shanghai for Science and Technology516 Jungong RoadShanghai 200093PR China Shanghai Cohere Electronic Technology Company No.10 Building2888 Shengang RoadShanghai 201101PR China Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention(LAP3) Department of Environmental Science&EngineeringFudan University2005 Songhu RoadShanghai 200438PR China Engineering Research Center of Optical Instrument and System the Ministry of EducationShanghai Key Laboratory of Modern Optical SystemUniversity of Shanghai for Science and Technology516 Jungong RoadShanghai 200093PR China Shanghai Municipal Center for Disease Control&Prevention 1380 West Zhongshan RoadShanghai 200336PR China

Nucleic acid detection,widely used in clinical diagnosis,biological analysis,and environmental monitoring,is of great significance for disease diagnosis and basic *** the outbreak of COVID-19,the demand for fast and high-throughput nucleic acid detection from large numbers of samples has increased *** nucleic acid detection systems can meet these needs,and also play important roles in disease screening and infectious disease prevention and *** this review,we introduce and compare the current mainstream nucleic acid automatic detection instruments and equipment,then discuss the future demands of nucleic acid detection.

关键词： Nucleic acid detection Automatic systems

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Comparison of Magneto-Optical Faraday Effect Method and Magnetic Camera for Imaging the 2-D Static Leakage Magnetic Flux Density

e-Journal of Nondestructive Testing

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e-Journal of Nondestructive Testing 2022年第9期27卷

作者： Dharmawan, I Dewa Made Oka Lee, Jinyi Wang, Dabin Department of Control Instrumentation and Robot Engineering Chosun University Gwangju61452 Korea Republic of Interdisciplinary Program in IT-BIO Convergence System Chosun University Gwangju61452 Korea Republic of Department of Electronic Engineering Chosun University Gwangju61452 Korea Republic of IT-Based Real-Time NDT Center Chosun University Gwangju61452 Korea Republic of

Recent development of electromagnetic inspection proposed auspicious results for imaging 2-D static of leakage magnetic flux density (LMFD) on surface and sub-surface defects. This ability encourages an interest in implementing electromagnetic-based magnetic flux leakage (MFL) testing for nondestructive inspection (NDI). In recent NDI technologies, advanced magnetic inspection using magneto-optical Faraday effect (MOE) and magnetic camera dominated the pre-service and in-service inspection in critical engineering industries such as aerospace, steel manufacturing, marine, railroad, and nuclear facilities. Unfortunately, a compact comparison of these approaches has not been proposed yet. This study aimed to compare MOE and magnetic camera according to five primary analyses: the target object, magnetic source, configuration of the magnetic sensor, signal processing, and AI implementation. A literature study was conducted using 47 papers to analyze the performance of each device in capturing LMFD. This comparison study successfully obtained the advantages and limitations of each imaging technique, which is very beneficial as a compact reference for developing and selecting suitable nondestructive inspection devices for MFL testing in the future. In addition, artificial intelligence (AI) as an option to escalate the inspection confidence could increase the assessment efficiency and reliability considering fast and complex engineering systems. © 2022, NDT. net GmbH and Co. KG. All rights reserved.

关键词： Nondestructive examination

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Measurement of surface stress-strain distribution inside a grain of carbon steel via optical microscope

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Measurement: Journal of the International Measurement Confederation 2025年 255卷

作者： Dharmawan, I Dewa Made Oka Lee, Jinyi Department of Control Instrumentation and Robot Engineering of Chosun University Gwangju61452 Cuba Interdisciplinary Program in IT-BIO Convergence System Chosun University Gwangju61452 Cuba Department of Electronic Engineering Chosun University Gwangju61452 Cuba

The advancement of alloys and steel in engineering highlights the critical need for robust methods to ensure structural integrity. While traditional Non-Destructive Testing and Evaluation (NDT/E) techniques provide valuable insights, they often fail to detect pre-existing stress conditions that contribute to fatigue cracks. Recent approaches have addressed this limitation by analyzing stress and strain at the grain level using advanced measurement systems—often based on diffraction techniques—integrated with Finite Element Method (FEM) and Digital Image Correlation (DIC) platforms. However, the application of these techniques for in-service inspections remains limited by challenges in accessibility, cost, and scalability. To overcome these issues, an integrated 2D surface system combining optical microscopy with DIC and grain-level analysis within the FEM framework is proposed. This method enables efficient visualization of grain-level deformation and stress distribution, thereby providing deeper insights into the microstructural behavior of polycrystalline materials under external loads. The proposed methodology is theoretically outlined and validated through simulations and experimental analyses, demonstrating its potential as a practical solution for in-service inspections. Ultimately, this approach is expected to advance inspection techniques by offering an accessible and scalable tool for monitoring microstructural behavior and identifying potential failure mechanisms through surface analysis. © 2025 Elsevier Ltd

关键词： Polycrystalline materials

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Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach

arXiv

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arXiv 2021年

作者： Zhang, Han Ringh, Axel Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Department of Mathematical Sciences Chalmers University of Technology University of Gothenburg Gothenburg41296 Sweden

The inverse linear-quadratic optimal control problem is a system identification problem whose aim is to recover the quadratic cost function and hence the closed-loop system matrices based on observations of optimal trajectories. In this paper, the discrete-time, finite-horizon case is considered, where the agents are also assumed to be homogeneous and indistinguishable. The latter means that the agents all have the same dynamics and objective functions and the observations are in terms of "snap shots" of all agents at different time instants, but what is not known is "which agent moved where" for consecutive observations. This absence of linked optimal trajectories makes the problem challenging. We first show that this problem is globally identifiable. Then, for the case of noiseless observations, we show that the true cost matrix, and hence the closed-loop system matrices, can be recovered as the unique global optimal solution to a convex optimization problem. Next, for the case of noisy observations, we formulate an estimator as the unique global optimal solution to a modified convex optimization problem. Moreover, the statistical consistency of this estimator is shown. Finally, the performance of the proposed method is demonstrated by a number of numerical examples. Copyright © 2021, The Authors. All rights reserved.

关键词： Convex optimization

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Hexagonally ordered microbowl arrays decorated with ultrathin CuInS_(2) nanosheets for enhanced photoelectrochemical performance

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Journal of Energy Chemistry 2020年第12期29卷 134-142页

作者： Ming Li Le Chen Yanjie Su Huan Yin Kexiang Hu State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China School of Electronic Engineering and Automation Guilin University of Electronic TechnologyKey Laboratory of Optoelectronic Information Processing of Guangxi Colleges and Uniy/ersitiesGuilin 541004GuangxiChina Key Laboratory for Thin Film and Microfabrication of the Ministry of Education Department of Micro/Nano ElectronicsSchool of ElectronicsInformation and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China National and Local Joint Engineering Laboratory of Internet Technology on Mine School of Information and Control EngineeringChina University of Mining and TechnologyXuzhou 221008JiangsuChina School of Physics and Telecommunication Engineering Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data ProcessingYulin Normal UniversityYulin 537400GuangxiChina

This paper demonstrates the design and fabrication of three-dimensional(3 D) hexagonally ordered microbowl arrays(MBAs) decorated with Cu In S2 nanosheets for enhanced photoelectrochemical(PEC) performance. The 3 D MBAs are fabricated by a micro-fabrication technique. The ultrathin CuInS2 nanosheets are grown on the 3 D electrodes by solvothermal transformation of Cu film. The photocurrent density of 3 D photocathode(CuInS2@MBAs) is about two times higher than that of the planar counterpart(CuInS2@Planar). The improved PEC performance can be ascribed to the elevated light trapping ability and the increased surface area for loading photocatalysts. In addition, CdS quantum dots as cocatalysts are modified onto the Cu In S2 nanosheets to further enhance the PEC activity because the formed p-n heterojunction can accelerate the separation of photogenerated carriers. As a result, the 3 D photocathode of CuInS2/CdS@MBAs shows an optimal incident photon to current efficiency of 10% at the wavelength of400 nm. It is believed that this work can be generalized to design other hierarchical 3 D photoelectrodes for improved solar water splitting.

关键词： Microbowl array CuInS_(2) Nanosheet Photocathode Photoelectrochemical performance

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Traffic Flow Estimation using Graph Neural Network with Aggregation of Traffic Features

Traffic Flow Estimation using Graph Neural Network with Aggr...

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International Conference on control, automation, Robotics and Vision (ICARCV)

作者： Adiyana Putri Ferio Brahmana Endra Joelianto Herman Y. Sutarto Engineering Physics Doctoral Program Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Artificial Intelligence Control and Automation Laboratory Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Department of Intelligent System PT. Pusat Riset Energi (PRE) Bandung Indonesia

ISBN: (纸本)9781665476881

The increasing vehicle volume every year affects the prediction of the traffic system. The purpose of predicting traffic flow is to estimate the lost data caused by sensor malfunctions due to connection disruptions or ages. In estimating traffic flow, obtaining and explaining the historical data from the nearest segment sensor is necessary. The graph model can describe the spatial relationship between segments by connecting nodes with edges. Graph Neural Network (GNN) has been used as a learning method to predict the traffic flow in the segment sensor. GNN gets input in the form of spatial data built through a graph model, and the features are traffic density, average vehicle speed, and delay time on the road network. This paper shows that GNN's capability performs better in extracting spatial features and predicting the traffic flow by aggregating the features through connectivity nodes and edges.

关键词： Learning systems Roads Estimation Feature extraction Robot sensing systems Graph neural networks Spatial databases

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A Reduced-Order Protocol for Bipartite Consensus of Linear Multi-Agent systems

A Reduced-Order Protocol for Bipartite Consensus of Linear M...

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Chinese automation Congress (CAC)

作者： Zichen Li Xianwei Li Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China

ISBN: (数字)9781665426473

ISBN: (纸本)9781665426480

This paper proposes a new reduced-order dynamic output-feedback protocol to solve the bipartite consensus problem of homogeneous linear multi-agent systems. Necessary and sufficient conditions for the solvability of the bipartite consensus problem are derived and the consensus state trajectories are obtained in an explicit form. Compared with existing results, the novelties of the proposed protocol are two-fold: Firstly, the protocol relies on relative output information of agents within each group and secondly, the protocol state ultimately converges to zero if bipartite consensus is reached. Furthermore, a numerical example is given to show the effectiveness of the proposed protocol.

关键词： Sufficient conditions Protocols Laplace equations automation Directed graphs Eigenvalues and eigenfunctions Trajectory

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Improved Multisignature Scheme for Authenticity of Digital Document in Digital Forensics Using Edward-Curve Digital Signature Algorithm

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Security and Communication Networks 2023年第1期2023卷

作者： Shankar, Gauri Ai-Farhani, Liwa H. Anitha Christy Angelin, P. Singh, Parvinder Alqahtani, Abdullah Singh, Abha Kaur, Gaganpreet Samori, Issah Abubakari Chandigarh University Mohali Punjab Mohali140413 India System Analysis Control and Information Processing Academy of Engineering RUDN University Moscow Russia PSNA College of Engineering and Technology Tamilnadu Dindigul624622 India Central University of Punjab Bathinda Punjab 151001 India Department of Computer Science College of Computer Science King Khalid University Abha Saudi Arabia Department of Basic Science College of Science and Theoretical Study Dammam-Female Branch Saudi Electronic University Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India School of Engineering Sciences University of Ghana Accra Ghana

At the moment, digital documents are just as important as paper documents. As a result, authenticity is essential, especially in legal situations and digital forensics. As technology advances, these digital signature algorithms become weaker, necessitating the development of digital authentication schemes capable of withstanding current security threats. This study proposed a scheme based on an asymmetric key cryptosystem and the user's biometric credentials to generate keys for digital signatures. A single document can be signed by multiple signatories at the same time under this scheme. The primary goal of this article is to create a safe and cost-effective multiignature scheme. To create keys for document signing and verification, the Edwards-curve Digital Signature Algorithm (EdDSA), especially Ed25519, is employed. The Edwards-curve Digital Signature Algorithm is used with blockchain technology to sign crypto wallets. The Python implementation of a scheme that enables platform independence. We performed performance, security, and comparative analysis to ensure maximum usability. The article's main findings are that the Ed25519 algorithm can be used in blockchain. © 2023 Gauri Shankar et al.

关键词： Digital forensics

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Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object Tracking

arXiv

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arXiv 2024年

作者： Zhang, Yunfei Liang, Chao Gao, Jin Zhang, Zhipeng Hu, Weiming Maybank, Stephen Zhou, Xue Li, Liang School of Information Science and Technology Shanghaitech University Shanghai201210 China State Key Laboratory of Multimodal Artificial Intelligence System Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing101408 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China KargoBot China Department of Computer Science and Information Systems Birkbeck College LondonWC1E 7HX United Kingdom School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Beijing Institute of Basic Medical Sciences Beijing100850 China

Joint Detection and Embedding (JDE) trackers have demonstrated excellent performance in Multi-Object Tracking (MOT) tasks by incorporating the extraction of appearance features as auxiliary tasks through embedding Re-Identification task (ReID) into the detector, achieving a balance between inference speed and tracking performance. However, solving the competition between the detector and the feature extractor has always been a challenge. Meanwhile, the issue of directly embedding the ReID task into MOT has remained unresolved. The lack of high discriminability in appearance features results in their limited utility. In this paper, a new learning approach using cross-correlation to capture temporal information of objects is proposed. The feature extraction network is no longer trained solely on appearance features from each frame but learns richer motion features by utilizing feature heatmaps from consecutive frames, which addresses the challenge of inter-class feature similarity. Furthermore, our learning approach is applied to a more lightweight feature extraction network, and treat the feature matching scores as strong cues rather than auxiliary cues, with an appropriate weight calculation to reflect the compatibility between our obtained features and the MOT task. Our tracker, named TCBTrack, achieves state-of-the-art performance on multiple public benchmarks, i.e., MOT17, MOT20, and DanceTrack datasets. Specifically, on the DanceTrack test set, we achieve 56.8 HOTA, 58.1 IDF1 and 92.5 MOTA, making it the best online tracker capable of achieving real-time performance. Comparative evaluations with other trackers prove that our tracker achieves the best balance between speed, robustness and accuracy. Code is available at https://***/yfzhang1214/TCBTrack. Copyright © 2024, The Authors. All rights reserved.

关键词： HTTP

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