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Inside Cover: A novel in vivo Cerenkov luminescence image-guided surgery on primary and metastatic colorectal cancer (J. Biophotonics 3/2020)

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Journal of Biophotonics 2020年第3期13卷

作者： Zeyu Zhang Yawei Qu Yu Cao Xiaojing Shi Hongbo Guo Xiaojun Zhang Sheng Zheng Haifeng Liu Zhenhua Hu Jie Tian Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education School of Life Science and Technology Xidian University Xi'an China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Gastroenterology the Third Medical Centre Chinese PLA General Hospital Beijing China Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Anorectal the Third medical Centre Chinese PLA General Hospital Beijing China University of Chinese Academy of Sciences Beijing China School of Information Sciences and Technology Northwest University Xi'an China Department of Nuclear Medicine Chinese PLA General Hospital Beijing China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang University Beijing China

This study presents a novel intraoperative in vivo imaging approach which harnessed Cerenkov luminescence (CL) to detect primary and metastatic colorectal cancer (CRC) using clinically approved radiopharmaceuticals. In the mice and swine experiments, the proposed approach effectively improved the effect of CRC surgery. The approach is believed to be promising for utilizing CL in open surgery. Further details can be found in the article by Zeyu Zhang, Yawei Qu, Yu Cao et al. ( e201960152 )

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Automatic Sleep Spindle Detection with EEG Based on Complex Demodulation Method and Decision Tree Model

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Journal of Biomedical Science and engineering 2017年第5期10卷 10-17页

作者： Jiabin Li Bei Wang Takenao Sugi Yu Zhang Masatoshi Nakamura Department of Automation East University of Science and Technology Shanghai China Department of Electrical and Electronic Engineering Saga University Saga Japan Research Institute of Systems Control Institute for Advanced Research and Education Saga University Saga Japan

Sleep spindle is the characteristic waveform of electroencephalogram (EEG) which is important for clinical diagnosis. In this study, an automatic sleep spindle detection method was developed. The EEG signals were recorded based on the standard polysomnogram (PSG) measurement. A preprocessing procedure is introduced to exclude the unnecessary data segments and normalized the necessary data segments. Complex demodulation method is adopted to detect the candidate sleep spindle waveforms and calculate the features. The sleep spindles are recognized based on a decision tree model. Finally, the detected sleep spindles were utilized to amend the sleep stage recognition results. The sleep EEG data from 3 patients with sleep disorders were analyzed. The obtained results showed that the detected sleep spindles in EEG signal improved the accuracy of sleep stage recognition.

关键词： Sleep Spindle Detection Complex Demodulation Method Decision Tree Mod-el EEG

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Automatic Sleep Spindle Detection with EEG Based on Complex Demodulation Method and Decision Tree Model

Automatic Sleep Spindle Detection with EEG Based on Complex ...

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The 11th International Conference on Bioinformatics and Biomedical engineering (ICBBE 2017)

作者： Jiabin Li Bei Wang Takenao Sugi Yu Zhang Masatoshi Nakamura Department of Automation East University of Science and Technology Department of Electrical and Electronic Engineering Saga University Research Institute of Systems Control Institute for Advanced Research and Education Saga University

Sleep spindle is the characteristic waveform of electroencephalogram(EEG) which is important for clinical diagnosis. In this study, an automatic sleep spindle detection method was developed. The EEG signals were recorded based on the standard polysomnogram(PSG) measurement. A preprocessing procedure is introduced to exclude the unnecessary data segments and normalized the necessary data segments. Complex demodulation method is adopted to detect the candidate sleep spindle waveforms and calculate the features. The sleep spindles are recognized based on a decision tree model. Finally, the detected sleep spindles were utilized to amend the sleep stage recognition results. The sleep EEG data from 3 patients with sleep disorders were analyzed. The obtained results showed that the detected sleep spindles in EEG signal improved the accuracy of sleep stage recognition.

关键词： Sleep Spindle Detection Complex Demodulation Method Decision Tree Model EEG

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Theranostics: Boosting Postsurgical Outcomes of Orthotopic Hepatocellular Carcinoma via an EpCAM-Targeting Theranostic Nanoparticle (Part. Part. Syst. Charact. 8/2019)

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Particle & Particle systems Characterization 2019年第8期36卷

作者： Min Hu Kun Wang Wenting Shang Ziyu Han Hongmei Jiang Chihua Fang Jie Tian Department of Hepatobiliary Surgery Zhujiang Hospital Southern Medical University Guangzhou 510280 China CAS Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Hepatobiliary Surgery The First Affiliated Hospital of Jinan University Guangzhou 510630 China Institute of Automation University of Chinese Academy of Sciences Beijing 100080 China Guangdong Provincial Clinical and Engineering Technology Research Center of Digital Medicine Guangzhou 510280 China

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Zero Defect Manufacturing Strategies for Reduction of Scrap and Inspection Effort in Multi-stage Production systems

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Procedia CIRP 2018年 67卷 368-373页

作者： Florian Eger Daniel Coupek Davide Caputo Marcello Colledani Mariluz Penalva Jon Ander Ortiz Hermann Freiberger Gernot Kollegger Institute for Control Engineering of Machine Tools and Manufacturing Units Seidenstr. 36 Stuttgart 70174 Germany GKN Aerospace Engine Systems Norway Kirkegårdsveien 45 N-3616 Kongsberg Norway Politecnico di Milano Department of Mechanical Engineering Via la Masa 1 20156 Milan Italy Tecnalia Research & Innovation Mikeletegi 7 Donostia-San Sebastián 20009 Spain IK4-Ideko Arriaga Industrialdea 2 Elgoibar 20870 Spain ABF Industrielle Automation GmbH Deggendorfstrae 6 A-4030 Linz nxtControl GmbH Aumühlweg 3/B1 A-2544 Leobersdorf Austria

Multi-stage production systems offer a huge potential for defect compensation and defect propagation avoidance on system level, in contrast to current single-stage solutions, in order to reduce scrap and to minimize time-consuming and cost-intensive quality control. Integration of additional sensor systems and sophisticated analysis of the acquired signals enable strategies in the field of downstream compensation, inline rework and enhanced process control without including additional process and inspection stages. The presented strategies are validated in three emerging European industrial sectors (aerospace, railway and medical) yielding a universal solution for zero defect manufacturing in multi-stage production systems.

关键词： Zero-defect manufacturing Effect elimination Multi-stage Production system

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On Frequency Sensitivity and Mode Orthogonality of Flexible Robotic Manipulators

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 394-397页

作者： Fei-Yue Wang Yanqing Gao IEEE State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Department of Manufacturing & Mechanical Engineering & Technology Oregon Institute of Technology

This paper presents sensitivity analysis of vibration frequencies of flexible manipulators with respect to variations of systems parameters such as rotational inertia of hub, and mass, moment, and side of tip load. Both Euler-Bernoulli and Timoshenko dynamical models of flexible manipulators are discussed. By using variational method, sensitivity indices are obtained with explicit expressions for measuring the sensitivity of frequencies. Based on variational formulations, a novel method for deriving the orthogonal relations among vibration modal shape functions of flexible manipulators is introduced. With this method, the orthogonal relations can be derived easily without invoking the tedious process of differentiation and integration by part, as commonly used in their derivation. © 2014 Chinese Association of automation.

关键词： Dielectric waveguides Flexible manipulators Manipulators Orthogonal functions Vibration analysis

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On ${\mathcal H}_{\infty }$ Finite-Horizon Filtering Under Stochastic Protocol: Dealing With High-Rate Communication Networks

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IEEE Transactions on Automatic control 2017年第9期62卷 4884-4890页

作者： Lei Zou Zidong Wang Jun Hu Huijun Gao College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Department of Computer Science Brunel University London Uxbridge U.K. Department of Applied Mathematics Harbin University of Science and Technology Harbin China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

This paper is concerned with the H ∞ filtering problem for a class of time-varying nonlinear delayed system under high-rate communication network and stochastic protocol (SP). The communication between the sensors and the state estimator is implemented via a shared high-rate communication network in which multiple transmissions are generated between two adjacent sampling instants of sensors. At each transmission instant, only one sensor is allowed to get access to the communication network in order to avoid data collisions and the SP is employed to determine which sensor obtains access to the network at a certain instant. The mapping technology is applied to characterize the randomly switching behavior of the data transmission resulting from the utilization of the SP. The aim of the problem addressed is to design an estimator such that the H ∞ disturbance attenuation level is guaranteed for the estimation error dynamics over a given finite horizon. Sufficient conditions are derived for the existence of the finite-horizon filter satisfying the prescribed H ∞ performance requirement, and the explicit expression of the time-varying filter gains is characterized by resorting toa set of recursive matrix inequalities. Simulation results demonstrate the effectiveness of the proposed filter design scheme.

关键词： Protocols Communication networks Symmetric matrices Time-varying systems Linear matrix inequalities Sensor phenomena and characterization

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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LQ control of Lotka-Volterra systems Based on their Locally Linearized Dynamics

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IFAC-PapersOnLine 2016年第10期49卷 241-245页

作者： Lipták, Görgy Magyar, Attila Hangos, Katalin M. University of Pannonia Faculty of Information Technology Department of Electrical Engineering and Information Systems H-8200 Egyetem street 10 Veszprém Hungary HAS Computers and Automation Research Institute Process Control Research Group H-1111 Kende street 13-17 Budapest Hungary

This work applies the LQ control framework to the class of quasi-polynomial and Lotka-Volterra systems through the linearized version of their nonlinear system model. The primary aim is to globally stabilize the original system with a suboptimal LQ state feedback by means of a well-known entropy-like Lyapunov function that is related to the diagonal stability of linear systems. This aim can only be reached in the case when the quasi-monomial composition matrix is invertible. In the rank-deficient case only the local stabilization of the system is possible with an LQ controller that is designed using the locally linearized model of the closed-loop system model. © 2016

关键词： System stability Biological systems Closed loop systems Linear matrix inequalities Linear systems Linearization Lyapunov functions Nonlinear systems State feedback Closed loop system modeling Composition matrixes Linearized dynamics Local stabilizations Lotka Volterra systems LQ control Lyapunov stability Nonlinear system modeling

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

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IEEE/CAA Journal of Automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of automation.

关键词： Religious buildings

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