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International Conference on control, Automation and Information sciences (ICCAIS)

作者： Hanxiong Yin Liming Zhang Guibo Luo Yuesheng Zhu Faculty of Science and Technology University of Macau Macao China School of Electronic and Computer Engineering Peking University Shenzhen China

ISBN: (纸本)9781479998937

Depth image based rendering (DIBR) is one of the key techniques in converting the 2D videos into the stereoscopic 3D ones. Warping process is the major step in DIBR, which generates the virtual left and right views with a number of black disocclusion areas. The disocclusion filling process is the main task in DIBR. In this paper, an improved disocclusion filling approach is proposed, which is based on the texture and gradient analysis. Inpainting algorithm is applied first based on the background texture and depth information to repair the disocclusion areas, which can be effectively reduce the large sizes of the disocclusion areas. Then a new gradient direction template is proposed and applied to fill the left disocclusion areas. Experiments are conducted to compare with other disocclusion filling approaches. Our results are promising.

关键词： Filling Maintenance engineering Videos Extrapolation Image color analysis Stereo image processing Three-dimensional displays

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An improved depth map estimation method based on motion detection

An improved depth map estimation method based on motion dete...

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IEEE Region 10 International Conference TENCON

作者： Boyu Pan Liming Zhang Yuesheng Zhu Guibo Luo Faculty of Science and Technology University of Macau Macao China School of Electronic and Computer Engineering Peking University Shenzhen China

ISBN: (纸本)9781479986422

Depth map estimation is one of the important research areas in image processing. This paper proposes an improved depth map estimation approach from a video stream of cartoon. It is based on the motion detection. Most depth map estimation approaches based on motion detection usually have two disadvantages. One is that the depth values of the same object have big differences. The other is time-consuming. To solve those problems, we propose an improved approach that includes three steps. First, a revised search strategy is designed in block matching based motion estimation. It helps to reduce the computation time. Then a revised depth consistency approach is used to reduce the large depth value differences in the same object. Finally, mean shift approach is used to segment the original color image and project the depth map onto the color segmentation. It further helps to reduce the depth value differences in the same object. Experiment results are promising.

关键词： Image segmentation Search problems Image color analysis Three-dimensional displays Streaming media Motion estimation Estimation

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Support-Set-Assured Parallel Outsourcing of Sparse Reconstruction Service for Compressive Sensing in Multi-Clouds

Support-Set-Assured Parallel Outsourcing of Sparse Reconstru...

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International Symposium on Security and Privacy in Social Networks and Big Data

作者： Yushu Zhang Jiantao Zhou Leo Yu Zhang Fei Chen Xinyu Lei School of Electronics and Information Engineering Southwest University Department of Computer and Information Science Faculty of Science and Technology University of Macau Department of Electronic Engineering City University of Hong Kong Department of Computer Science and Engineering Shenzhen University College of Computer Science Chongqing University

ISBN: (纸本)9781467384216

By leveraging the concept of signal sparsity, the new signal acquisition paradigm Compressive Sensing (CS) has successfully shifted the system complexity of the encoder to the decoder. If consideration must be given to solving the heavy decoding work while guaranteeing the privacy of the signal, one of the best choices is to outsource the sparse reconstruction service to a cloud with abundant computing resources. We propose to outsource sparse reconstruction service to multi-clouds in parallel with an assumption that multi-clouds cannot collude with each other in private. The owner protects the 2D signals' support-set, a set consisting of the indices of the nonzero entries in that signal, using a simple exchange primitives with low complexity and less memory rather than a full random permutation matrix. When carrying out parallel compressive sensing, this exchange primitive is equivalent to random permutation matrix, thus relaxing the RIP for 2D sparse signals with high probability. Then, the compressive measurements and support-set are distributed over multi-clouds for storage and reconstruction service. Each cloud only has a small amount of information of both the measurements and asymmetric support-set;therefore, the privacy of the original signal can be guaranteed.

关键词： Support-set Parallel outsourcing Sparse reconstruction service Compressive sensing

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Publisher Correction: Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly

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Nature communications 2019年第1期10卷 2459页

作者： Peer Aramillo Irizar Sascha Schäuble Daniela Esser Marco Groth Christiane Frahm Steffen Priebe Mario Baumgart Nils Hartmann Shiva Marthandan Uwe Menzel Jule Müller Silvio Schmidt Volker Ast Amke Caliebe Rainer König Michael Krawczak Michael Ristow Stefan Schuster Alessandro Cellerino Stephan Diekmann Christoph Englert Peter Hemmerich Jürgen Sühnel Reinhard Guthke Otto W Witte Matthias Platzer Eytan Ruppin Christoph Kaleta Research Group Medical Systems Biology Institute of Experimental Medicine Christian-Albrechts-University Kiel D-24105 Kiel Germany. Jena University Language and Information Engineering Lab Friedrich-Schiller-University Jena D-07743 Jena Germany. GerontoSys JenAge Consortium D-07745 Jena Germany. Genome Analysis Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Hans Berger Department of Neurology Jena University Hospital D-07747 Jena Germany. Systems Biology and Bioinformatics Group Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute D-07745 Jena Germany. Biology of Ageing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Molecular Genetics Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Imageing Facility Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Integrated Research and Treatment Center Center for Sepsis Control and Care (CSCC) Jena University Hospital D-07747 Jena Germany. Network Modeling Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute D-07745 Jena Germany. Institute for Medical Informatics and Statistics Christian-Albrechts-University Kiel D-24105 Kiel Germany. Energy Metabolism Laboratory Swiss Federal Institute of Technology (ETH) Zurich Schwerzenbach/Zürich CH-8603 Switzerland. Department of Bioinformatics Friedrich-Schiller-University Jena D-07743 Jena Germany. Laboratory of Neurobiology Scuola Normale Superiore University of Pisa I-56100 Pisa Italy. Molecular Biology Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Faculty of Biology and Pharmacy Friedrich-Schiller-University Jena D-07743 Jena Germany. Biocomputing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Department of Computer Science and Center for Bioinformatics and Computational Biology University of Maryland College Park M

The original version of this Article contained an error in the spelling of the author Jule Müller, which was incorrectly given as Julia Müller. Additionally, in Fig. 4a, the blue-red colour scale for fold change in ageing/disease regulation included a blue stripe in place of a red stripe at the right-hand end of the scale. These errors have been corrected in both the PDF and HTML versions of the Article.

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Core losses model of switched reluctance motor

Core losses model of switched reluctance motor

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Selected Problems of Electrical engineering and Electronics (WZEE)

作者： Mirosław Wciślik Karol Suchenia Faculty of Electrical Engineering Division of Devices and Systems in Automatic Control Kielce Poland Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland

The paper deals with a mathematical model of switched reluctance motor, with stator of on induction motor. The parameters of this model were determined experimentally. The motor winding were supplied from different frequencies AC voltage source. Based on the measurements of current and voltage equivalent resistance and inductance of motor windings as a function of frequency were determined using the least squares method. The measurements for different rotation angle of the rotor were carried out. The measured resistance value was significantly higher than the value of the winding resistance because of “iron losses”. The losses are modeled as the losses of a single turn wound on the rotor core, representing the eddy currents circuit. The losses are dependent on the angle of the rotor rotation relative to the stator. Based on the relationship between the equivalent inductance and resistance of the motor measured and specified of the model, the parameters were determined.

关键词： Reluctance motors Mathematical model Windings Resistance Induction motors Radio frequency Magnetic cores

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Space QUEST mission proposal: Experimentally testing decoherence due to gravity

arXiv

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arXiv 2017年

作者： Joshi, Siddarth Koduru Pienaar, Jacques Ralph, Timothy C. Cacciapuoti, Luigi McCutcheon, Will Rarity, John Giggenbach, Dirk Lim, Jin Gyu Makarov, Vadim Fuentes, Ivette Scheidl, Thomas Beckert, Erik Bourennane, Mohamed Bruschi, David Edward Cabello, Adan Capmany, Jose Carrasco-Casado, Alberto Diamanti, Eleni Dusek, Miloslav Elser, Dominique Gulinatti, Angelo Hadfield, Robert H. Jennewein, Thomas Kaltenbaek, Rainer Krainak, Michael A. Lo, Hoi-Kwong Marquardt, Christoph Milburn, Gerard Peev, Momtchil Poppe, Andreas Pruneri, Valerio Renner, Renato Salomon, Christophe Skaar, Johannes Solomos, Nikolaos Stipčević, Mario Torres, Juan P. Toyoshima, Morio Villoresi, Paolo Walmsley, Ian Weihs, Gregor Weinfurter, Harald Zeilinger, Anton Zukowski, Marek Ursin, Rupert Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Boltzmanngasse 3 ViennaA-1090 Austria Centre for Quantum Computation & Communication Technology Department of Physics University of Queensland St LuciaQLD4072 Australia European Space Agency Keplerlaan 1 - P.O. Box 299 AG Noordwijk ZH2200 Netherlands Department of Electrical and Electronic Engineering University of Bristol Merchant Venturers Building Woodland Road BristolBS8 1UB United Kingdom German Aerospace Center Institute of Communications and Navigation Muenchner Strasse 20 Wessling82234 Germany Institute for Quantum Computing Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Precision Engineering Department Fraunhofer IOF Albert-Einstein-Straße 7 Jena07745 Germany Physics department Stockholm University Albanova universitetscentrum Universitetsvägen 10 Stockholm114 18 Sweden York Centre for Quantum Technologies Department of Physics University of York HeslingtonYO10 5DD United Kingdom University of Seville SevillaE-41012 Spain iTEAM Research Institute Universitat Politcnica de Valencia Valencia46022 Spain 4-2-1 Nukui-Kitamachi Koganei Tokyo184-8795 Japan CNRS Universite Pierre et Marie Curie Paris75005 France Department of Optics Faculty of Science Palacky University 17. Iistopadu 12 Olomouc772 00 Czech Republic Max Planck Institute for the Science of Light Bldg. 24 Günther-Scharowsky Str. 1 ErlangenD-91058 Germany Piazza Leonardo da Vinci 32 Milano20133 Italy School of Engineering University of Glasgow GlasgowG12 8LT United Kingdom Vienna Center of Quantum Science and Technology Faculty of Physics University of Vienna Boltzmanngasse 5 ViennaA-1090 Austria NASA Goddard Space Flight Center GreenbeltMD20771 United States Center for Quantum Information and Quantum Con

Models of quantum systems on curved space-times lack sufficient experimental verification. Some speculative theories suggest that quantum properties, such as entanglement, may exhibit entirely different behavior to purely classical systems. By measuring this effect or lack thereof, we can test the hypotheses behind several such models. For instance, as predicted by Ralph and coworkers [T C Ralph, G J Milburn, and T Downes, Phys. Rev. A, 79(2):22121, 2009;T C Ralph and J Pienaar, New Journal of Physics, 16(8):85008, 2014], a bipartite entangled system could decohere if each particle traversed through a different gravitational field gradient. We propose to study this effect in a ground to space uplink scenario. We extend the above theoretical predictions of Ralph and coworkers and discuss the scientific consequences of detecting/failing to detect the predicted gravitational decoherence. We present a detailed mission design of the European Space Agency's (ESA) Space QUEST (Space - Quantum Entanglement Space Test) mission, and study the feasibility of the mission scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum entanglement

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A real-time Networked control framework based on mobile phones

A real-time Networked Control framework based on mobile phon...

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IEEE International Conference on Mechatronics and Automation

作者： Dongliang Chen Guoping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin China Faculty of Advanced Technology University of South Wales U.K

ISBN: (纸本)9781479970995

A Networked control Platform Based on mobile phone with Android operating system is introduced in this paper. It is a real-time platform to test the realistic performance of the networked control theory. The system adopts a more universal hardware platform: mobile phone, which is compact, low-cost and resourceful. At the same time, to shorten the developing period of control application, the platform makes use of Simulink Coder, which can generate control application from Simulink block diagram automatically. It will free the researcher from implementing the control algorithm in C language. The scheme has many advantages as low-cost, compactness and mobility. You can implement your networked control strategy instantly with only a computer and a mobile phone. In this paper we illustrate the overall framework and details and its potential applications. At last, experiments are implemented.

关键词： Software packages Actuators Operating systems Smart phones Hardware

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Data-driven Property Verification of Grey-box Systems by Bayesian Experiment Design

Data-driven Property Verification of Grey-box Systems by Bay...

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American control Conference

作者： S. Haesaert P.M.J. Van den Hof A. Abate Control Systems group in the Faculty of Electrical Engineering Eindhoven University of Technology The Netherlands Department of Computer Science Oxford University UK

ISBN: (纸本)9781479917730

A measurement-based statistical verification approach is developed for systems with partly unknown dynamics. These grey-box systems are subject to identification experiments which, new in this contribution, enable accepting or rejecting system properties expressed in a linear-time logic. We employ a Bayesian framework for the computation of a confidence level on the properties and for the design of optimal experiments. Applied to dynamical systems, this work enables data-driven verification of partly-known system dynamics with controllable non-determinism (inputs) and noisy output observations. A numerical case study concerning the safety of a dynamical system is used to elucidate this data-driven and model-based verification technique.

关键词： data driven Verification DYNAMICAL SYSTEMS Bayesian inference System dynamics box system

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RETRACTED ARTICLE: Input Displacement Neuro-fuzzy control and Object Recognition by Compliant Multi-fingered Passively Adaptive Robotic Gripper

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Journal of Intelligent & Robotic Systems 2015年第2期82卷 177-187页

作者： Petković, Dalibor Shamshirband, Shahaboddin Anuar, Nor Badrul Sabri, Aznul Qalid Md Abdul Rahman, Zulkanain Bin Pavlović, Nenad D. Faculty of Mechanical Engineering Deparment for Mechatronics and Control University of Niš Niš Serbia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of History Faculty of Arts and Social Sciences Building University of Malaya Kuala Lumpur Malaysia

The requirement for new flexible adaptive grippers is the ability to detect and recognize objects in their environments. It is known that robotic manipulators are highly nonlinear systems, and an accurate mathematical model is difficult to obtain, thus making it difficult make decision strategies using conventional techniques. Here, an adaptive neuro fuzzy inference system (ANFIS) for controlling input displacement and object recognition of a new adaptive compliant gripper is presented. The grasping function of the proposed adaptive multi-fingered gripper relies on the physical contact of the finger with an object. This design of the each finger has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to control input displacement of the gripper and to recognize particular shapes of the grasping objects. Fuzzy based controllers develop a control signal according to grasping object shape which yields on the firing of the rule base. The selection of the proper rule base depending on the situation can be achieved by using an ANFIS strategy, which becomes an integrated method of approach for the control purposes. In the designed ANFIS scheme, neural network techniques are used to select a proper rule base, which is achieved using the back propagation algorithm. The simulation results presented in this paper show the effectiveness of the developed method.

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International Society for Therapeutic Ultrasound Conference 2016

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Journal of Therapeutic Ultrasound 2017年第1期5卷 1-114页

作者： Brian Fowlkes Pejman Ghanouni Narendra Sanghvi Constantin Coussios Paul C. Lyon Michael Gray Christophoros Mannaris Marie de Saint Victor Eleanor Stride Robin Cleveland Robert Carlisle Feng Wu Mark Middleton Fergus Gleeson Jean-Franҫois Aubry Kim Butts Pauly Chrit Moonen Jacob Vortman Shirley Sharabi Dianne Daniels David Last David Guez Yoav Levy Alexander Volovick Javier Grinfeld Itay Rachmilevich Talia Amar Zion Zibly Yael Mardor Sagi Harnof Michael Plaksin Yoni Weissler Shy Shoham Eitan Kimmel Omer Naor Nairouz Farah Dong-Guk Paeng Zhiyuan Xu John Snell Anders H. Quigg Matthew Eames Changzhu Jin Ashli C. Everstine Jason P. Sheehan Beatriz S. Lopes Neal Kassell Thomas Looi Vera Khokhlova Charles Mougenot Kullervo Hynynen James Drake Michael Slayton Richard C. Amodei Keegan Compton Ashley McNelly Daniel Latt John Kearney David Melodelima Aurelien Dupre Yao Chen David Perol Jeremy Vincenot Jean-Yves Chapelon Michel Rivoire Wei Guo Guoxin Ren Guofeng Shen Michael Neidrauer Leonid Zubkov Michael S. Weingarten David J. Margolis Peter A. Lewin Nathan McDannold Jonathan Sutton Natalia Vykhodtseva Margaret Livingstone Thiele Kobus Yong-Zhi Zhang Michael Schwartz Yuexi Huang Nir Lipsman Jennifer Jain Martin Chapman Tejas Sankar Andres Lozano Robert Yeung Christakis Damianou Nikolaos Papadopoulos Omer Brokman Eyal Zadicario Ori Brenner David Castel Shih-Ying Wu Julien Grondin Wenlan Zheng Marc Heidmann Maria Eleni Karakatsani Carlos J. Sierra Sánchez Vincent Ferrera Elisa E. Konofagou Marinos Yiannakou HongSeok Cho Hwayoun Lee Mun Han Jong-Ryul Choi Taekwan Lee Sanghyun Ahn Yongmin Chang Juyoung Park Nicholas Ellens Ari Partanen Keyvan Farahani Raag Airan Alexandre Carpentier Michael Canney Alexandre Vignot Cyril Lafon Jean-yves Delattre Ahmed Idbaih Henrik Odéen Bradley Bolster Eun Kee Jeong Dennis L. Parker Pooja Gaur Xue Feng Samuel Fielden Craig Meyer Beat Werner William Grissom Michael Marx Hans Weber Valentina Taviani Brian Hargreaves Jun Tanaka Kentaro Kikuchi Ayumu Ishijima Takashi Azuma Kosuke Minamihata Satoshi Basic Radiological Sciences Division Department of Radiology University of Michigan Ann Arbor USA Stanford School of Medicine Stanford USA SonaCare Medical Indianapolis USA Institute of Biomedical Engineering University of Oxford Oxford UK HIFU Unit Churchill Hospital Oxford UK Department of Oncology University of Oxford Oxford UK Department of Radiology Churchill Hospital Oxford UK Institut Langevin Paris France Center for Imaging Sciences Imaging Division University Medical Center Utrecht The Netherlands InSighTec Haifa Israel Sheba Medical Center Ramat-Gan Israel Tel-Aviv University Tel-Aviv Israel Faculty of Biomedical Engineering & Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel ELSC Center for Brain Sciences Hebrew University Jerusalem Israel Biomedical Engineering Technion- Israel Institute of Technology Haifa Israel Faculty of Life Sciences Bar Ilan University Ramat Gan Israel Focused Ultrasound Foundation Charlottesville USA Ocean System Engineering Jeju National University Jeju Republic of Korea Neurosurgery University of Virginia Charlottesville USA Biology University of Virginia Charlottesville USA Pathology University of Virginia Charlottesville USA Hospital for Sick Children Toronto Canada University of Toronto Toronto Canada University of Washington Seattle USA Philips Healthcare Markham Canada Sunnybrook Research Institute Toronto Canada Guided Therapy Systems LLC Mesa USA School of Medicine University of Arizona Tucson USA The CORE Institute Phoenix USA LabTAU - U1032 INSERM Lyon France Centre Leon Berard Lyon France Department of Oral Maxillofacial and Head Neck Oncology Shanghai 9th People’s Hospital Shanghai China The School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia USA Department of Surgery College of Medicine Drexel University Philadelphia USA Biostatistics and Epidemiology University of Pennsylvania Philadelphi

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