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Scientific World Journal 2015年第1期2015卷 473168页

作者： You, Mingyu Chen, Chong Li, Guo-Zheng Yan, Shi-Xing Sun, Sheng Zeng, Xue-Qiang Zhao, Qing-Ce Xu, Liao-Yu Huang, Su-Ying Department of Control Science and Engineering Tongji University Shanghai 200000 China Computer Center Nanchang University Nanchang 330000 China Shanghai Institute of Traditional Chinese Medical Literatures Shanghai 200000 China

Clinical cases are primary and vital evidence for Traditional Chinese Medicine (TCM) clinical research. A great deal of medical knowledge is hidden in the clinical cases of the highly experienced TCM practitioner. With a deep Chinese culture background and years of clinical experience, an experienced TCM specialist usually has his or her unique clinical pattern and diagnosis idea. Preserving huge clinical cases of experienced TCM practitioners as well as exploring the inherent knowledge is then an important but arduous task. The novel system ISMAC (Intelligent System for Management and Analysis of Clinical Cases in TCM) is designed and implemented for customized management and intelligent analysis of TCM clinical data. Customized templates with standard and expert-standard symptoms, diseases, syndromes, and Chinese Medince Formula (CMF) are constructed in ISMAC, according to the clinical diagnosis and treatment characteristic of each TCM specialist. With these templates, clinical cases are archived in order to maintain their original characteristics. Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system. With a flexible dataset retrieval mechanism, ISMAC is a powerful and convenient system for clinical case analysis and clinical knowledge discovery. © 2015 Mingyu You et al.

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Introduction

Communications and Control Engineering

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Communications and control Engineering 2015年第9783319151700期 1-27页

作者： Hatanaka, Takeshi Chopra, Nikhil Fujita, Masayuki Spong, Mark W. Department of Mechanical and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering University of Maryland College ParkMD United States Erik Jonsson School of Engineering and Computer Science Department of Electrical Engineering University of Texas at Dallas RichardsonTX United States

This chapter first attempts to define the term "networked robotics" in the context of this book, and specifies, among a wide range of the research field, the subjects addressed in this book, namely bilateral teleoperation, visual feedback control/estimation, and cooperative control/estimation. Then, we present comprehensive literature reviews for each research field and an overview of the contents presented in this book. © 2015, Springer International Publishing Switzerland.

关键词： Visual communication

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Design of iterative learning control schemes for systems with zero Markov parameters

Design of iterative learning control schemes for systems wit...

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IEEE Annual Conference on Decision and control

作者： Wojciech Paszke Eric Rogers Krzysztof Galkowski Institute of Control and Computation Engineering University of Zielona Gora ul. Szafrana 2 65-246 Zielona Gora Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK

ISBN: (纸本)9781479978878

This paper gives new results on the design of iterative learning control laws in the repetitive process setting for error convergence and regulation of the transient dynamics. Such control laws are applied to systems that repeat the same operation, known as trials, over a finite duration. The underlying approach is to specify a reference trajectory and using the recorded data from the previous trials to update the control input signal such that the sequence of trial outputs converge to this specified trajectory. For linear time-invariant dynamics, successful design requires that the first Markov parameter is non-zero, i.e., the system transfer-function is proper. The new design in this paper allows direct treatment of strictly proper dynamics by use of anticipative action based on previous trial data and the resulting design computations are linear matrix inequality based. A simulation case study based on robotic manipulator dynamics, whose model was developed from experimentally measured data, is used to demonstrate the feasibility and effectiveness of the new design procedure.

关键词： Markov Iterative learning control identical operation Converge Direct Method Trials updated design control systems dynamics input signal Nonzero linear matrix inequalities experimentation trial trajectory

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Performance analysis of camera rotation estimation algorithms for UAS sense and avoid

Performance analysis of camera rotation estimation algorithm...

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Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)

作者： Tamas Zsedrovits Peter Bauer Mate Nemeth Borbala Jani Matyasne Pencz Akos Zarandy Balint Vanek Jozsef Bokor Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) Budapest Hungary Magyar Tudomanyos Akademia Budapest Budapest HU

Several camera rotation estimator algorithms are tested in simulations and on real flight videos in this paper. The aim of the investigation is to show the strengths and weaknesses of these algorithms in the aircraft attitude estimation task. The work is part of a research project where a low cost UAV is developed which can be integrated into the national airspace. Two main issues are addressed with these measurements, one is the sense-and-avoid capability of the aircraft and the other is sensor redundancy. Both parts can benefit from a good attitude estimate. Thus, it is important to use the appropriate algorithm for the camera rotation estimation. Simulation results show that many times even the simplest algorithm can perform at an acceptable level of precision for the sensor fusion.

关键词： Cameras Algorithm design and analysis Estimation Aircraft Spatial resolution Atmospheric modeling Videos

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Output feedback control of discrete linear repetitive processes over finite frequency ranges

Output feedback control of discrete linear repetitive proces...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Wojciech Paszke Marcin Boski Eric Rogers Krzysztof Gałkowski Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Faculty of Electrical Engineering University of Zielona Góra Zielona Góra Poland Department of Electronics and Computer Science University of Southampton UK

Discrete linear repetitive processes operate over a subset of the upper-right quadrant of the 2D plane. They arise in the modeling of physical processes and also the existing systems theory for them can be used to effect in solving control problems for other classes of systems, including iterative learning control design. This paper uses a form of the generalized Kalman-Yakubovich-Popov (GKYP) Lemma to develop new linear matrix inequality (LMI) based stability conditions and an output control law design algorithm. The new algorithm results in a static output feedback control law that ensures stability along the pass and meets the control requirements in finite frequency ranges. Relative to alternatives, the new results in this paper reduce the conservatism in existing designs and should easily extend to design in the presence of uncertainty in the process model. A numerical example to illustrate the application of the new design algorithm concludes the paper.

关键词： Process control Stability analysis Asymptotic stability Symmetric matrices Frequency conversion Frequency control Numerical stability

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One click cloud orchestrator: Bringing complex applications effortlessly to the clouds

One click cloud orchestrator: Bringing complex applications ...

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International Workshop on Parallel Processing, Euro-Par 2014

作者： Kecskemeti, Gabor Gergely, Mark Visegrádi, Ádám Nemeth, Zsolt Kovacs, Jozsef Kacsuk, Péter Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 Budapest1111 Hungary

ISBN: (纸本)9783319143125

Infrastructure cloud systems offer basic functionalities only for managing complex virtual infrastructures. These functionalities demand low-level understanding of applications and their infrastructural needs. Recent research has identified several techniques aimed at enabling the semi-automated management and using applications that span across multiple virtual machines. Even with these efforts however, a truly flexible and end-user oriented approach is missing. This paper presents the One Click Cloud Orchestrator that not only allows higher level of automated infrastructure management than it was possible before, but it also allows end-users to focus on their computational problems instead of the complex cloud infrastructures needed for their execution. To accomplish these goals the paper reveals the novel building blocks of our new orchestrator from the components closely related to infrastructure cloud to the ways virtual infrastructures are modeled. Finally, we show our initial evaluation and study on how the orchestrator fulfills the high level requirements of end-users. © Springer International Publishing Switzerland 2014.

关键词： Automation

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Better approximation bounds for the joint replenishment problem

Better approximation bounds for the joint replenishment prob...

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25th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2014

作者： Bienkowski, Martin Byrka, Jaroslaw Chrobak, Marek Jez, Lukasz Nogneng, Dorian Sgall, Jiří Institute of Computer Science University of Wroclaw Poland Department of Computer Science University of California at Riverside United States Department of Computer Control and Management Engineering Sapienza University of Rome Italy LIX École Polytechnique Palaiseau France Faculty of Mathematics and Physics Computer Science Institute Charles University Czech Republic

ISBN: (纸本)9781611973389

The Joint Replenishment Problem (JRP) deals with optimizing shipments of goods from a supplier to retailers through a shared warehouse. Each shipment involves transporting goods from the supplier to the warehouse, at a fixed cost C, followed by a redistribution of these goods from the warehouse to the retailers that ordered them, where transporting goods to a retailer p has a fixed cost cp. In addition, we incur waiting costs for each order, possibly an arbitrary non-decreasing function of time, different for each order. The objective is to minimize the overall cost of satisfying all orders, namely the sum of all shipping and waiting costs. JRP has been well studied in Operations Research and, more recently, in the area of approximation algorithms. For arbitrary waiting cost functions, the best known approximation ratio is 1.8. This ratio can be reduced to ≈1.574 for the JRP-D model, where there is no cost for waiting but orders have deadlines. As for hardness results, it is known that the problem is APX- hard and that the natural linear program for JRP has integrality gap at least 1.245. Both results hold even for JRP-D. In the online scenario, the best lower and upper bounds on the competitive ratio are 2.64 and 3, respectively. The lower bound of 2.64 applies even to the restricted version of JRP, denoted JRP-L, where the waiting cost function is linear. We provide several new approximation results for JRP. In the offline case, we give an algorithm with ratio ≈ 1.791, breaking the barrier of 1.8. We also show that the integrality gap of the linear program for JRP-L is at least 12/11 ≈ 1.09. In the online case, we show a lower bound of ≈ 2.754 on the competitive ratio for JRP-L (and thus JRP as well), improving the previous bound of 2.64. We also study the online version of JRP-D, for which we prove that the optimal competitive ratio is 2. Copyright © 2014 by the Society for Industrial and Applied Mathematics.

关键词： Cost functions

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Presentation of the Church of Zelemér in the Virtual Collaboration Arena (VirCA)

Presentation of the Church of Zelemér in the Virtual Collab...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Attila Gilányi Marianna Bálint Róbert Hajdu Sándor Tarsoly Imre Erdős Faculty of Informatics University of Debrecen Debrecen Hungary Hajdúsági Museum Hajdúböszörmény Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Faculty of Engineering University of Debrecen Debrecen Hungary

We present a three-dimensional visualization of the medieval Church of Zelemer developed in the Virtual Collaboration Arena (VirCA).

关键词： Libraries Visualization Buildings Conferences Collaboration Electronic mail Three-dimensional displays

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FPGA Implementation of Vision-Based Fingertip-Writing Digits Recognition System

FPGA Implementation of Vision-Based Fingertip-Writing Digits...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Ching-Long Shih Bing-Lin Yang Wen-Yo Lee Ti-Hung Chen Bo-Jhih Chen Yi-Chih Fan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Network and Engineering Lunghwa University of S. and T. Taoyuan Taiwan Tristan Dept. Industrial Technology Research Institute Embedded Control System

This paper presents a vision-based fingertip writing digits detection and recognition system using a CMOS camera and FPGA implementation. It is a real-time signature detector, since the image process algorithms are all executed in Verilog code. The experimental results show that the system can successfully recognize fingertip-numeral-writing with a accuracy rate of 95.8%.

关键词： Image color analysis Feature extraction CMOS integrated circuits Skin Field programmable gate arrays Trajectory Image recognition

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Overview of CNN research: 25 years history and the current trends

Overview of CNN research: 25 years history and the current t...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ákos Zarándy Csaba Rekeczky Peter Szolgay Leon O. Chua Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA-SZTAKI) Budapest P´zm´ny Péter Catholic University The Faculty of Information Technology Budapest Hungary Eutecus Inc. Berkeley California USA University of California of Berkeley USA

Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.

关键词： Arrays Neural networks Circuit theory Visualization Very large scale integration

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