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Computer Vision – ACCV 2012 1

丛书名： Lecture Notes in Computer Science

1000年

作者： Kyoung Mu Lee Yasuyuki Matsushita James M. Rehg Zhanyi Hu

ISBN: (数字)9783642374470

ISBN: (纸本)9783642374463

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

关键词： Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics

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Manufacturing Systems Control Design 1

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丛书名： Advances in Industrial Control

1000年

作者： Stjepan Bogdan Zdenko Kovačić Frank L. Lewis José Mireles

ISBN: (数字)9781846283345

ISBN: (纸本)9781852339821;9781849969895

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.

关键词： Control and Systems Theory Industrial and Production engineering Manufacturing, Machines, Tools, Processes Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization

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Network-Based Control of Unmanned Marine Vehicles 1

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1000年

作者： Yu-Long Wang Chen Peng Lang Ma Qing-Long Han

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Biometric Recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Wei-Shi Zheng Jianhuang Lai Zhenan Sun Yunhong Wang Xilin Chen Pong C. Yuen

ISBN: (数字)9783642351365

ISBN: (纸本)9783642351358

This book constitutes the refereed proceedings of the 7th Chinese Conference on Biometric Recognition, CCBR 2012, held in Guangzhou, China, in December 2012. The 46 revised full papers were carefully reviewed and selected from 80 submissions. The papers address the problems in face, iris, hand biometrics, speaker, handwriting, gait, soft biometrics, security and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.

关键词： Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet)

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An X Language-Driven Framework for Systematic Development of Digital Twin Healthcare Systems

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ACM Transactions on Multimedia computing, Communications, and Applications 1000年

作者： Kunyu Xie Lin Zhang Yuan Yang Xiaohe Li Ridha Khedri Zhen Chen M. Jamal Deen Simulation Technology Innovation Center Hangzhou International Innovation Institute of Beihang University Hangzhou 311115 Zhejiang China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China State Key Laboratory of Intelligent Manufacturing Systems Technology Beijing 100191 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Shenzhen Third People’s Hospital & Second Hospital Affiliated to Southern University of Science and Technology Shenzhen 518112 Guangdong China Dept. of Computing and Software McMaster University Hamilton Ontario Canada L8S 4K1 Department of Electrical and Computer Engineering McMaster University Hamilton ON L8S 4L8 Canada

The rapid advancements in big data and the Internet of Things (IoT) have significantly accelerated the digital transformation of medical institutions, leading to the widespread adoption of Digital Twin Healthcare (DTH). The Cloud DTH Platform (CDTH) serves as a cloud-based framework that integrates DTH models, healthcare resources, patient data, and medical services. By leveraging real-time data from medical devices, the CDTH platform enables intelligent healthcare services such as disease prediction and medical resource optimization. However, the platform functions as a system of systems (SoS), comprising interconnected yet independent healthcare services. This complexity is further compounded by the integration of both black-box AI models and domain-specific mechanistic models, which pose challenges in ensuring the interpretability and trustworthiness of DTH models. To address these challenges, we propose a Model-Based Systems engineering (MBSE)-driven DTH modeling methodology derived from systematic requirement and functional analyses. To implement this methodology effectively, we introduce a DTH model development approach using the X language, along with a comprehensive toolchain designed to streamline the development process. Together, this methodology and toolchain form a robust framework that enables engineers to efficiently develop interpretable and trustworthy DTH models for the CDTH platform. By integrating domain-specific mechanistic models with AI algorithms, the framework enhances model transparency and reliability. Finally, we validate our approach through a case study involving elderly patient care, demonstrating its effectiveness in supporting the development of DTH models that meet healthcare and interpretability requirements.

关键词： Digital Twin Model-based system engineering X Language Medical Cyber-Physical Systems Digital Twin Healthcare Design

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Advances in Brain Inspired Cognitive Systems 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Huaguang Zhang Amir Hussain Derong Liu Zhanshan Wang

ISBN: (数字)9783642315619

ISBN: (纸本)9783642315602

This book constitutes the refereed proceedings of the 5th International Conference on Brain Inspired Cognitive Systems, BICS 2012, held in Shenyang, Liaoning, China in July 2012. The 46 high-quality papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on biologically inspired systems, cognitive neuroscience, models of consciousness, and neural computation.

关键词： Artificial Intelligence Information Systems Applications (incl. Internet) Database Management Information Storage and Retrieval Pattern Recognition Computation by Abstract Devices

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Computer Vision – ACCV 2012 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Kyoung Mu Lee Yasuyuki Matsushita James M. Rehg Zhanyi Hu

ISBN: (数字)9783642374449

ISBN: (纸本)9783642374432

关键词： Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics

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End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference

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ACM Transactions on Information Systems 1000年

作者： Jinguang Wang Shengsheng Qian Jun Hu Wenxiang Dong Xudong Huang Richang Hong School of Public Security and Emergency Management Anhui University of Science and Technology China and State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining Anhui University of Science and Technology China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China and School of Artificial Intelligence University of Chinese Academy of Sciences China School of Computing National University of Singapore Singapore Institute of Dataspace Hefei Comprehensive National Science Center China School of Computer Science and Information Engineering Hefei University of Technology China

Explainable Fake News Detection (EFND) is a new challenge that aims to verify news authenticity and provide clear explanations for its decisions. Traditional EFND methods often treat the tasks of classification and explanation as separate, ignoring the fact that explanation content can assist in enhancing fake news detection. To overcome this gap, we present a new solution: the End-to-end Explainable Fake News Detection Network (\(EExpFND\)). Our model includes an evidence-claim variational causal inference component, which not only utilizes explanation content to improve fake news detection but also employs a variational approach to address the distributional bias between the ground truth explanation in the training set and the prediction explanation in the test set. Additionally, we incorporate a masked attention network to detail the nuanced relationships between evidence and claims. Our comprehensive tests across two public datasets show that \(EExpFND\) sets a new benchmark in performance. The code is available at https://***/r/EExpFND-F5C6.

关键词： Social media Explainable fake news detection Causal inference

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Biometric Recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Zhenan Sun Shiguan Shan Gongping Yang YiLong Yin Jie Zhou Yunhong Wang

ISBN: (数字)9783319029610

ISBN: (纸本)9783319029603

This book constitutes the refereed proceedings of the 8th Chinese Conference on Biometric Recognition, CCBR 2013, held in Jinan, China, in November 2013. The 57 revised full papers presented were carefully reviewed and selected from among 100 submissions. The papers address the problems in face, fingerprint, palm print, vein biometrics, iris and ocular biometrics, behavioral biometrics and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.

关键词： Biometrics Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Graphics Information Systems Applications (incl. Internet)

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Analytical solution for cogging torque in surface permanent-magnet motors using conformal mapping

Analytical solution for cogging torque in surface permanent-...

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作者： Zarko, Damir Ban, Drago Lipo, Thomas A. IEEE Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation University of Zagreb HR-10000 Zagreb Croatia Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison WI 53706-1691 United States

We present an analytical method for the calculation of cogging torque in surface permanent-magnet (PM) motors. The cogging torque is calculated by integrating the Maxwell stress tensor inside the air gap. The principle of complex relative air-gap permeance derived from conformal transformation of the slot geometry is used to take into account the effect of slotting and to calculate the radial and tangential components of the air-gap flux density required for integration of the tangential component of the Maxwell stress tensor. We implemented the proposed analytical solution on a 7-kW four-pole surface PM motor and compared the results with finite-element solutions. We present an example of finding the optimal magnet angular span to yield minimum cogging torque as an example of the effectiveness of the method. © 2007 IEEE.

关键词： Electric motors

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