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International Conference on Management of Large-Scale System Development (MLSD)

作者： Mikhail Gorelov Department of Information and Computing Systems Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

The maximal guaranteed result in a hierarchical game with an undetermined factor is found in the class of strategies with feedback. The stability of the problem under consideration concerning perturbations of the payo...

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Optimized design of the universal ternary gates for quantum/reversible computing

Optimized design of the universal ternary gates for quantum/...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Vitaly Deibuk Iryna Turchenko Vladyslav Shults Department of Computer Systems and Networks Chernivtsi National University Chernivtsi Ukraine Department of Information Computing Systems and Control Ternopil National Economic University Ternopil Ukraine

Multiple-valued logic is a promising choice for future computer technologies, which provides a set of advantages comparing to binary circuits. In this paper, we have developed a genetic algorithm-based synthesis of ternary reversible circuits using Muthukrishnan-Stroud gates. The method for chromosomes coding, as well as a reasonable choice of algorithm parameters, allowed obtaining circuits for ternary Toffoli and modified Fredkin gates, which are better than other published methods in terms of quantum cost, delay times and amount of input ancillary and output garbage qutrits.

关键词： Logic gates Genetic algorithms Quantum computing Delays Biological cells Computers Multivalued logic

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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2012 UKACC International Conference on control, control 2012

作者： Hu, Jun Wang, Zidong Shen, Bo Cai, Chenxiao Lam, James Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University London UB8 3PH United Kingdom Institute for Automatic Control and Complex Systems University of Duisburg-Essen D-47057 Duisburg Germany School of Automation Nanjing University of Science and Technology 210094 Nanjing China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467315609

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme. © 2012 IEEE.

关键词： Difference equations

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Special Section on the Intelligent Data Acquisition and Advanced Computer systems (IDAACS) Workshops

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IEEE Transactions on Instrumentation and Measurement 2006年第1期55卷 3-4页

作者： V. Haasz A. Sachenko Department of Measurement Czech Technical University Praha 6 CZ Czech Republic Department of Information Computing Systems and Control Ternopil State Economic University Ternopil Ukraine

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OER: Six Perspectives on Global Misconceptions and Challenges

OER: Six Perspectives on Global Misconceptions and Challenge...

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2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019

作者： Towey, Dave Reisman, Sorel Chan, Henry Demartini, Claudio Tovar, Edmundo Margaria, Tiziana University of Nottingham Ningbo China School of Computer Science Ningbo China California State University Fullerton Department of Information Systems and Decision Sciences Fullerton United States Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong Politecnico di Torino Control Computer Engineering Department Turin Italy Universidad Politécnica de Madrid School of Computer Engineers Madrid Spain University of Limerick Department of Computer Science and Information Systems Limerick Ireland

ISBN: (纸本)9781728126654

Open Educational Resources (OERs) are freely accessible materials for teaching, learning, and research that have been made available such that they can be freely used, modified, and shared. Prompted by the potential positive impact that OERs can have, a growing community of OER enthusiasts has been advocating for their adoption in higher education, and elsewhere. The growing demand for computer science education and training (especially in areas related to artificial intelligence, machine learning, and big data) has led to speculation as to how OERs may be best leveraged to support such teaching and learning. The recent occasion of an international OER workshop at the 2019 IEEE Conference on Computers, Software and Applications (COMPSAC) allowed for six OER enthusiasts, all with extensive OER experience, to reflect on the status of OER adoption and understanding. These reflections, addressing misconceptions and challenges, form the basis for this paper. © 2019 IEEE.

关键词： Application programs

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Teeth Segmentation from Bite-Wing X-Ray Images by Integrating Nested Dual UNet with Swin Transformers

Teeth Segmentation from Bite-Wing X-Ray Images by Integratin...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Li, Yubo Tian, Yibin Zhang, Zhiyuan Zhang, Xueyang Du, Bingran Zeng, Zhi School of Computer and Information Science Chongqing Normal University Chongqing401331 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China Litemaze Technology Shenzhen518000 China School of Computing and Information Systems Singapore Management University Singapore487372 Singapore Shunde Hospital Department of Stomatology Foshan528000 China

ISBN: (纸本)9781665410205

In medical practice, the precision of image segmentation is crucial for diagnosis and treatment evaluations. Specifically, in dentistry, accurate teeth segmentation from bite-wing images is important for automatic and objective evaluations of root canal treatments. This study introduces Swin-U2 Net, a model merging the nested dual UNet with residual U-block and Swin Transformers. It combines the local feature extraction capability of the former and the global attention and context understanding of the latter. It has been evaluated for tooth root segmentation using 500 bite-wing dental x-ray images obtained from a root canal treatment clinic. It achieved the best segmentation outcome in terms of Intersection over Union (IOU) and the third best result in terms of Dice Similarity Coefficient (DSC) with the second least amount of network parameters among six UNet-like models, thus it is effective and efficient. © 2024 IEEE.

关键词： Image segmentation

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Distributed authentication scheme for Industry Internet Platform application based on consortium blockchain

Distributed authentication scheme for Industry Internet Plat...

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2021 International Conference on Computer Network Security and Software Engineering, CNSSE 2021

作者： Yan, Min Huang, Haibo Yang, Shuaifeng Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijng100190 China Department of Economics and Management Beijing University of Posts and Telecommunications Beijing100876 China Department of Security Technology China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China

With the rapid development of industrial internet services, the integration of IT/OT has enabled the continuous expansion of network security boundaries and put forward higher requirements for platform application cross-domain identity authentication. Aiming at the insufficient security of existing user-centric identity authentication schemes, this paper proposes a distributed authentication scheme based on the consortium blockchain in industrial Internet platform. The solution analyzes its applicability to the Industry Internet Platform from three perspectives: network architecture, industrial Internet platform user identity control, and user privacy. It defines the identity composed of consortium ID and consortium digital identity credentials, and builds distributed authentication architecture. The consortium blockchain is used to record the digital identity information of the industrial Internet platform users, and the consortium ID and the consortium digital identity credential are designed to realize the industrial Internet platform business securely access. © Published under licence by IOP Publishing Ltd.

关键词： Blockchain

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Comparative analysis of 3D face recognition algorithms using range image and curvature-based representations

Comparative analysis of 3D face recognition algorithms using...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Krasimir Tonchev Agata Manolova Ihor Paliy Faculty of Telecommunications Technical university of Sofia Sofia Department of Information Computing Systems and Control Ternopil National Economic University Ternopil

In this paper we present a comparative analysis of two algorithms for image representation with application to recognition of 3D face scans with the presence of facial expressions. We begin with processing of the input point cloud based on curvature analysis and range image representation to achieve a unique representation of the face features. Then, subspace projection using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are performed. Finally classification with different classifiers will be performed.

关键词： Three-dimensional displays Face recognition Face Image representation Principal component analysis Vectors Support vector machines

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Computer Vision-control-Based CNN-PID for Mobile Robot

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Computers, Materials & Continua 2021年第7期68卷 1065-1079页

作者： Rihem Farkh Mohammad Tabrez Quasim Khaled Al jaloud Saad Alhuwaimel Shams Tabrez Siddiqui College of Engineering Muzahimiyah BranchKing Saud UniversityP.O.Box 2454Riyadh11451Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia King Abdulaziz City for Science and Technology Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyJazan UniversityJazanSaudi Arabia Department of Electrical Engineering Laboratory for AnalysisConception and Control of SystemsLR-11-ES20National Engineering School of TunisTunis El Manar UniversityTunisTunisia

With the development of artificial intelligence technology,various sectors of industry have *** them,the autonomous vehicle industry has developed considerably,and research on self-driving control systems using artificial intelligence has been extensively *** on the use of image-based deep learning to monitor autonomous driving systems have recently been *** this paper,we propose an advanced control for a serving robot.A serving robot acts as an autonomous line-follower vehicle that can detect and follow the line drawn on the floor and move in specified *** robot should be able to follow the trajectory with speed *** controllers were used simultaneously to achieve *** neural networks(CNNs)are used for target tracking and trajectory prediction,and a proportional-integral-derivative controller is designed for automatic steering and speed *** study makes use of a Raspberry PI,which is responsible for controlling the robot car and performing inference using CNN,based on its current image input.

关键词： Autonomous car pid control deep learning convolutional neural network differential drive system raspberry pi

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Research on Key Technologies of Industrial Internet Data Security 2

Research on Key Technologies of Industrial Internet Data Sec...

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2021 2nd International Conference on Computer information and Big Data Applications, CIBDA 2021

作者： Yan, Min Huang, Haibo Li, Jun Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijng100190 China Department of Economics and Management Beijing University of Posts and Telecommunications Beijing100876 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China

At present, industrial Internet data is facing a severe security situation in storage, transmission, and use. This paper proposes data security management and security protection strategies by studying the data security risks and status quo of industrial Internet platforms. Among them, the security management strategy includes data classification and classification, data security assessment and data security threat emergency management. The security protection strategy deploys industrial data security protection from the technical aspects of collection, storage, transmission, processing, sharing, and deletion, providing a reference for further strengthening the industrial Internet data security. © Published under licence by IOP Publishing Ltd.

关键词： Digital storage

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