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Reliability and controllability of the System Consisting of a Robot and Its Associated Safety Mechanism

Journal of Mathematical Research with Applications 2020年第4期40卷 342-350页

作者： Li ZHOU Liansuo WEI College of Science Qiqihar University Computer and Control Engineering Qiqihar University

This paper mainly studies the system composed of robot and its safety *** using functional analysis method, the partial differential equation of the original system is transformed into the abstract Cauchy problem in Banach space. The transient and steady-state availability of the system can be obtained by algebraic theory and Csemi-group theory, and the system is proved to be reliable and zero-state controllable by using transformation ***, Maple software is used to simulate the system transient reliability and steady-state availability.

关键词： Cauchy problem transient reliability steady availability numerical simulation

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Domain decomposition and mortar mixed approach for nonlinear elliptic equations modeling flow in porous media

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Heliyon 2025年第4期11卷 e42724页

作者： Arshad, Muhammad Mehmood, Adil Salleh, Zabidin Akhtar, Sumaira Saleem Khan, Suliman Inc, Mustafa Department of Mathematics Abbottabad University of Science and Technology Abbottabad Pakistan Special Interest Group on Modelling and Data Analytics Faculty of Computer Science and Mathematics Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia Department of Mathematics Women University Mardan Khyber Pakhtunkhwa Pakistan State Key Laboratory of Mechanics and Control for Aerospace Structures College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Mathematıcs Firat University Elazig 23119 Türkiye Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai 602105 India Department of Computer Engineering Biruni University Istanbul 34010 Türkiye

The equations describe the behavior of steady state flow in porous medium generally results in elliptic partial differential equations with coefficient represents the permeability of the medium. This article presents the extension of mortar mixed method for second order nonlinear elliptic equations that describes flow in porous media. The domain is decomposed into non-overlapping regions with each partitioned independently. The grids on subdomains are allowed to be non-matching across the subdomains internal boundaries. The fixed point argument (FPA) is employed to establish the existence and uniqueness of discrete problem, and optimal order error estimates are provided for approximations. The computational results are given to validate the theory. © 2025 The Author(s)

关键词： Darcy law Existence Mixed methods Mortar methods Nonlinear equations Numerical results

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Artificial Intelligence Based Segmentation for Skin-Layer Visualization from Optical Coherence Tomography Images

Artificial Intelligence Based Segmentation for Skin-Layer Vi...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Gilang Titah Ramadhan Yori Pusparani Ardha Ardea Prisilla Wei-Cheng Shen Hsu-Tang Cheng Ben-Yi Liau Yih-Kuen Jan Wen-Thong Chang Chih-Yang Lin Chi-Wen Lung Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Visual Communication Design Budi Luhur University Jakarta Indonesia Department of Digital Media Design Asia University Taichung Taiwan Department of Fashion Design LaSalle College Jakarta Jakarta Indonesia Department of Creative Product Design Asia University Taichung Taiwan Division of Plastic Surgery Asia University Hospital Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Kinesiology and Community Health University of Illinois Urbana USA Department of Mechanical Engineering National Central University Taoyuan Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Changes in epidermal thickness are linked to various skin diseases, such as diabetic foot. Optical Coherence Tomography (OCT), a noninvasive imaging technology, enables detailed visualization of skin layers. This study employed a deep learning approach using the U-Net architecture to analyze OCT images, specifically focusing on the stratum corneum (SC) and epidermis (ED) layers. Utilizing a dataset of 10,000 images, the U-Net model achieved 92 % accuracy in predicting SC and 95% accuracy for ED. These results highlight the potential of this method for accurate 3D visualization of SC and ED layers, paving the way for precise assessment of skin layer thickness and its changes in medical applications.

关键词： Deep learning Visualization Solid modeling Image segmentation Accuracy Three-dimensional displays Optical coherence tomography Medical services Predictive models Epidermis

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On limit cycle chattering in sliding mode control systems under the influence of sampling intervals based on describing function approach

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The Journal of China Universities of Posts and Telecommunications 2016年第1期23卷 55-59页

作者： Kang Hongbo Shen Yu Institute of Electrical and Control Engineering Chang'an University College of Automation Xi'an University of Posts Communications School of Computer and Information Science Southwest University

In this paper, the influence of sampling intervals on the chattering in sliding mode （SM） control systems is considered. The describing function （DF） approach is employed to analyze the chattering characteristics in the sampling SM control. By the DF calculations and limit cycle existence conditions, an unstable limit cycle and two stable limit cycles are found in the SM control system. The frequencies and amplitudes of the two limit cycles can also be estimated by graphical calculations. The estimation accuracy of chattering parameters is evaluated by the simulations. The results of simulations show that the system could converge to a large and a small limit cycle from different initial conditions.

关键词： sampling interval chattering parameters describing function approach multiple limit cycle analysis

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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data

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Big Data Mining and Analytics 2023年第2期6卷 185-200页

作者： Jiancheng Zhong Zuohang Qu Ying Zhong Chao Tang Yi Pan College of Information Science and Engineering Hunan Normal UniversityChangsha 410081China Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences ShenzhenGuangzhou 518055China

Essential proteins play a vital role in biological processes,and the combination of gene expression profiles with Protein-Protein Interaction(PPI)networks can improve the identification of essential ***,gene expression data are prone to significant fluctuations due to noise interference in topological *** this work,we discretized gene expression data and used the discrete similarities of the gene expression spectrum to eliminate noise *** then proposed the Pearson Jaccard coefficient(PJC)that consisted of continuous and discrete similarities in the gene expression *** the graph theory as the basis,we fused the newly proposed similarity coefficient with the existing network topology prediction algorithm at each protein node to recognize essential *** strategy exhibited a high recognition rate and good *** validated the new similarity coefficient PJC on PPI datasets of Krogan,Gavin,and DIP of yeast species and evaluated the results by receiver operating characteristic analysis,jackknife analysis,top analysis,and accuracy *** with that of node-based network topology centrality and fusion biological information centrality methods,the new similarity coefficient PJC showed a significantly improved prediction performance for essential proteins in DC,IC,Eigenvector centrality,subgraph centrality,betweenness centrality,closeness centrality,NC,PeC,and *** also compared the PJC coefficient with other methods using the NF-PIN algorithm,which predicts proteins by constructing active PPI networks through dynamic gene *** experimental results proved that our newly proposed similarity coefficient PJC has superior advantages in predicting essential proteins.

关键词： Protein-Protein Interaction(PPI)network continuous and discrete similarity coefficient essential proteins

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A Region-divided Search Algorithms for Game Amazons

A Region-divided Search Algorithms for Game Amazons

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第25届中国控制与决策会议

作者： Xu Hongxia Xing Yuan Zuo Guoyu College of Electronic Information and Control Engineering Beijing University of Technology College of Computer Science Beijing University of Technology

ISBN: (纸本)9781467355339

A kind of alpha-beta search algorithm based on region-divided checkerboard for the game of Amazons was used to improve the efficiency. Hierarchy searching is adopted in this approach. Searching is firstly carried in the divided regions, then the searching result of the whole checkerboard is gotten according to those valued of various regions. The evaluation and integration of divided regions are also adjusted and optimized. In addition, the definition and recognition of divided regions are provided. Furthermore, the feasibility and complexity of the search algorithm are analyzed. Finally the efficiency of the algorithm is proved by experiments data. .

关键词： Game of Amazons, divided-regions, alpha-beta searching algorithm

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Direct Torque control of Brushless Doubly-Fed Machine Based on Fuzzy Logic 35

Direct Torque Control of Brushless Doubly-Fed Machine Based ...

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第35届中国控制会议

作者： LI Bing LIU Shi Zhao Zheng North China Electric Power University Science & Technology College Control and Computer Engineering College North China Electric Power University Control and Computer Engineering College North Ch ina Electric Power University

ISBN: (纸本)9781509009107

The conventional direct torque control（DTC） system employs two hysteresis comparators to regulate the stator flux and torque respectively,DTC sheme is easier and has faster torque response,but bring large torque fluctuation and inconstant switch frequency,etc.A control strategy direct torque control based on fuzzy logic is proposed in this *** strategy uses fuzzy logic controller replace the hysteresis comparators and voltage table of conventional direct torque control *** this strategy a novel expanded rule with 12 sectors of flux *** algorithm is easily implemented,and it improves the system performance with decreasing both torque and flux *** results of simulation show that the flux trajectory is closer to a circle,torque fluctuation largely decrease and the static and dynamic performance of the system is improved with the strategy based on fuzzy logic control system compared to the conventional DTC.

关键词： Direct Torque control Fuzzy logic control Brushless Doubly-Fed Machines,Flux observer

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A prospective future towards bio/medical technology and bioelectronics based on 2D vdWs heterostructures

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Nano Research 2020年第1期13卷 1-17页

作者： Guru Prakash Neupane Linglong Zhang Tanju Yildirim Kai Zhou Bowen Wang Yilin Tang Wendi Ma Yunzhou Xue Yuerui Lu Research School of Electrical Energy and Materials EngineeringCollege of Engineering and Computer ScienceThe Australian National UniversityCanberraACT2601Australia College of Mechatronics and Control Engineering Shenzhen University Nan-hai Ave 3688Shenzhen518060China College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen518052China

Nano-biotechnology research has become extremely important due to the possibilities in manipulation and characterization of biological molecules through *** exhibit exciting electrical,optoelectronic,magnetic,mechanical and chemical properties that can be exploited to develop efficient biosensors or *** unique properties in nanomaterials can also be used in bioimaging and cancer therapeutics,where biomolecules influence the inherent properties in *** manipulation of nanomaterial properties can lead to many breakthroughs in nanotechnology ***,2D nanomaterials have emerged as viable materials for *** cross-section area and functional availability of 2D or 1D quantum limit in these nanomaterials allow greater flexibility and better nanodevice performance.2D nanomaterials enable advanced bioelectronics to be more easily integrated due to their atomic thickness,biocompatibility,mechanical flexibility and ***,with the development of 2D material heterostructures,enhanced material properties can be obtained which can directly influence bio-nanotechnology *** article firstly reviews the development of various types of 2D heterostructures in a wide variety of nano-biotechnology ***,future 2D heterostructure scopes in bioimaging,nanomedicine,bio-markers/therapy and bioelectronics are *** paper can be an avenue for providing a wide scope for 2D van der Waals(vdWs)heterostructures in bio-and medical fields.

关键词： hwo-dimensional(2D)nanomaterials heterostructures bioimaging nano-medicine nano-bio-electronics wearable 2D nanotechnology

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Detecting the One-Shot Dummy Attack on the Power Industrial control Processes With an Unsupervised Data-Driven Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 550-553页

作者： Zhenyong Zhang Yan Qin Jingpei Wang Hui Li Ruilong Deng the State Key Laboratory of Public Big Data and the College of Computer Science and Technology Guizhou UniversityGuiyang 550025China the School of Chemical and Biomedical Engineering Nanyang Technological UniversitySingapore 639798Singapore the State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China IEEE

Dear Editor,Dummy attack(DA), a deep stealthy but impactful data integrity attack on power industrial control processes, is recently recognized as hiding the corrupted measurements in normal measurements. In this letter, targeting a more practical case, we aim to detect the oneshot DA, with the purpose of revealing the DA once it is ***, we first formulate an optimization problem to generate one-shot DAs. Then, an unsupervised data-driven approach based on a modified local outlier factor(MLOF) is proposed to detect them.

关键词： Dummy Power letter

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Intelligent Visual Media Processing： When Graphics Meets Vision

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Journal of computer science & Technology 2017年第1期32卷 110-121页

作者： Ming-Ming Cheng Qi-Bin Hou Song-Hai Zhang Paul L. Rosin College of Computer Science and Control Engineering Nankai University Tianjin 300071 China TNList Tsinghua University Beijing 100084 China School of Computer Science and Informatics Cardiff University Wales CF10 3EU U.K.

The computer graphics and computer vision communities have been working closely together in recent years and a variety of algorithms and applications have been developed to analyze and manipulate the visual media around us. There are three major driving forces behind this phenomenon： 1） the availability of big data from the Internet has created a demand for dealing with the ever-increasing, vast amount of resources; 2） powerful processing tools, such as deep neural networks, provide effective ways for learning how to deal with heterogeneous visual data; 3） new data capture devices, such as the Kilxect, the bridge betweea algorithms for 2D image understanding and 3D model analysis. These driving forces have emerged only recently, and we believe that the computer graphics and computer vision communities are still in the beginning of their honeymoon phase. In this work we survey recent research on how computer vision techniques benefit computer graphics techniques and vice versa, and cover research on analysis, manipulation, synthesis, and interaction. We also discuss existing problems and suggest possible further research directions.

关键词： computer graphics computer vision survey scene understanding image manipulation

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