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arXiv 2017年

作者： Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Barton, M.A. Cannon, K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Furuhata, T. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Inoue, Y. Ioka, K. Itoh, Y. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kambara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kim, C. Kim, H. Kim, J. Kim, Y. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kumar, R. Lee, H. Lee, H. Liu, Y. Luca, N. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Miyakawa, O. Miyamoto, T. Miyamoto, A. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, S. Nagano, K. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Nguyen Quynh, L. Ni, W.-T. Ochi, T. Oh, J. Oh, S. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Peña Alleano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sasaki, Y. Sasaki, M. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shoda, A. Somiya, K. Son, E. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. Tomaru, T. Tomura, T. Travasso, F. Tsubono, K. Tsuchida, S. Uchikata, N. Uchiyama, T. Uehara, T. Ueki, S. Ueno, K. Ushiba, T. van Putten, M.H.P.M. Vocca, H. Wada, S. Wakamatsu, T. Yamada, T. Yamamoto, S. Yamamoto, T. Yamamoto, K. Yamamoto, A. Yokoyama, J. Yokozawa, T. Yoon, T.H. Yuzurihara, H. Zeidler, S. Zhu, Z.-H. National Astronomical Observatory of Japan Mitaka Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori036-8561 Japan National Astronomical Observatory of Japan Hida Gifu506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama Toyama930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka558-8585 Japan Department of Physics Osaka University Toyonaka Osaka560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon34141 Korea Republic of Daejeon Yuseong34055 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Computer Simulation Inje University Gimhae Gyeongsangnam50834 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of High Energy Accelerator Research Organization Tsukuba Ibaraki305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma00185 Italy D

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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Complementary research and Education Opportunities—A Comparison of Learning Factory Facilities and Methodologies at TU Wien and MTA SZTAKI

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Procedia CIRP 2016年 54卷 47-52页

作者： Zsolt Kemény János Nacsa Gábor Erdős Robert Glawar Wilfried Sihn László Monostori Elisabeth Ilie-Zudor Fraunhofer Project Center PMI Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13–17 H-1111 Budapest Hungary Department of Manufacturing Science and Engineering Budapest University of Technology and Economics Mőegyetem rkp. 3. H-1111 Budapest Hungary Institute of Management Science Vienna University of Technology Theresianumgasse 27 1040 Vienna Austria Fraunhofer Austria Research GmbH Division of Production and Logistics Management Theresianumgasse 7 A-1040 Vienna Austria

Typical learning factories are characterized by selective simplification or scaling-down of complex and large-scale production processes, while also safely containing risks in the case of process failures inherent to experimental and didactic activities. The variety of aspects preserved by these scaled-down environments allow different approaches to be taken in research and education. The paper compares two facilities, at TU Wien and at MTA SZTAKI in Budapest, respectively, and highlights differences in their modes of operation, the resulting variations of course-based vs. project-based didactic approaches, as well as their place in technical higher education.

关键词： Learning Factory Smart Factory research test-bed Project-oriented education Course-oriented education

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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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Overlapped Cells Separation Algorithm Based on Morphological System Using Distance Minimums in Microscopic Images

Overlapped Cells Separation Algorithm Based on Morphological...

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Iranian Conference on Biomedical engineering

作者： Vahid Khodadadi Emad Fatemizadeh S. Kamaledin Setarehdan Department of biomedical Engineering Science and Research Branch Islamic Azad University Electrical engineering department Sharif University of Technology Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467393522

It is important to distinguish overlapped cell for tracking and segmentation biological cells from images. In this research, a novel or comprehensive method is provided with morphological features of cell and minimum distance for overlapped cells separation (OCS). it's necessary to say that this algorithm is not based on type and number of Overlapped cells. In this presented method based on a distance chart. At first, every cell or rectangle of cell is separated of the original image. Also, multiplex cell is distinguished by using minimum perimeter polygon (MPP) method. Distance chart is achieved on the base of morphological procedure and Computing of cell boundary distance to Cell middle axis in different epochs. By achieving the absolute minimum distance chart, candidate cutting points is detected and separated. Experimental results show the offered method is very effective and the work shows great assistance for the cell Cytoplasm segmentation. At the end, recognition accuracy and 97.4% separation for cells is achieved by this method.

关键词： Overlapped cells Extremum Perpendicular lines Skeleton Concavity areas

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Optimized Kalman Filter Based on Second Momentum and Triple Rectangular for Cell Tracking on Sequential Microscopic Images

Optimized Kalman Filter Based on Second Momentum and Triple ...

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Iranian Conference on Biomedical engineering

ISBN: (纸本)9781467393522

Cell dynamics and motion stages are very important issues in the biological cell investigation. in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a chosen cell and we continue this process till all cells are track. OKF (optimized Kalman filter) algorithm uses second momentum for detecting cells because;value of second momentum doesn't change with rotating cells or changing size. OKF method removes cell after tracking in every frame. So, tracking has an acceptable and excellent precision for tracking in another cell. Also, the algorithm finds cells between frames by changing the reference frame and removing were tracked cells. Performance results of OKF show the proposed method is very admissible, effective method and the work shows great assistance for the cell Cytoplasm tracking. Finally, cells tracking with 98.17% accuracy were achieved by using OKF algorithm.

关键词： Kalman filter Second Momentum Cell Tracking Triple Rectangular OKF Method

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An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

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Journal of computer and Communications 2015年第11期3卷 19-24页

作者： Libo Cai Yu Ma Tangming Yuan Haifeng Wang Tianhua Xu Department of Computer Science University of York Heslington York UK National Engineering Research Center of Rail Transportation Operation and Control Systems Beijing Jiaotong University Beijing China Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China

The paper discusses an application for rail track thermal image fault detection. In order to get better results from the Canny edge detection algorithm, the image needs to be processed in advance. The histogram equalization method is proposed to enhance the contrast of the image. Since a thermal image contains multiple parallel rail tracks, an algorithm has been developed to locate and separate the tracks that we are interested in. This is accomplished by applying the least squares linear fitting technique to represent the surface of a track. The performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.

关键词： Fault Detection Rail Thermal Image Canny Edge Detection Linear Least Squares

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An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

An Application of Canny Edge Detection Algorithm to Rail The...

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2015 Workshop 11

作者： Libo Cai Yu Ma Tangming Yuan Haifeng Wang Tianhua Xu Department of Computer Science University of York National Engineering Research Center of Rail Transportation Operation and Control Systems Beijing Jiaotong University Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University

The paper discusses an application for rail track thermal image fault *** order to get better results from the Canny edge detection algorithm,the image needs to be processed in *** histogram equalization method is proposed to enhance the contrast of the *** a thermal image contains multiple parallel rail tracks,an algorithm has been developed to locate and separate the tracks that we are interested *** is accomplished by applying the least squares linear fitting technique to represent the surface of a *** performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.

关键词： Fault Detection Rail Thermal Image Canny Edge Detection Linear Least Squares

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Extracting Patterns of Single-Trial EEG Using an Adaptive Learning Algorithm

Extracting Patterns of Single-Trial EEG Using an Adaptive Le...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chin-Teng Lin Yu-Kai Wang Chieh-Ning Fang Yi-Hsin Yu Jung-Tai King the Faculty of Engineering and Information Technology University of Technology Sydney (UTS) Australia the Department of Computer Science and Brain Research Center National Chiao-Tung University Taiwan Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University Taiwan the Brain Research Center National Chiao-Tung University Taiwan

ISBN: (纸本)9781424492695

The improvement of brain imaging technique brings about an opportunity for developing and investigating brain-computer interface (BCI) which is a way to interact with computer and environment. The measured brain activities usually constitute the signals of interest and noises. Applying the portable device and removing noise are the benefits to real-world BCI. In this study, one portable electroencephalogram (EEG) system non-invasively acquired brain dynamics through wireless transmission while six subjects participated in the rapid serial visual presentation (RSVP) paradigm. The event-related potential (ERP) was traditionally estimated by ensemble averaging (EA) to increase the signal-to-noise ratio. One adaptive filter of data-reusing radial basis function network (DR-RBFN) was also utilized as the estimator. The results showed that this portable EEG system stably acquired brain activities. Furthermore, the task-related potentials could be clearly explored from the limited samples of EEG data through DR-RBFN. According to the artifact-free data from the portable device, this study demonstrated the potential to move the BCI from laboratory research to real-life application in the near future.

关键词： BCI RSVP EA

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Applying System Thinking to Learn from Accident of Modern Automatic control Systems

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Chinese Journal of Electronics 2014年第2期23卷 409-414页

作者： NIU Ru CAO Yuan GE Xiaocheng TANG Tao State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Department of Computer Science University of York

Modern societies increasingly rely on automatic control systems. These systems are hardly pure technical systems; instead they are complex socio-technical systems, which consist of technical elements and social components. It is necessary to have a systematic approach to analyze these systems because it is growing evidence that accidents from these systems usually have complex causal factors which form an interconnected network of events,rather than a simple cause-effect chain. We take railway Train control systems(TCS) as an example to demonstrate the importance of the socio-technical approach to analyze the system. The paper presents an investigation of recent high-speed railway accident by applying STAMP – one of the most notable socio-technical system analysis techniques, outlines improvements to the system which could avoid similar accidents in the future. We also provide our valuable feedback for the use of STAMP.

关键词： Socio-technical automatic system Railway safety Accident analysis Systems theoretic accident model and processes(STAMP)

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Real-time Middle Wave Infrared Aerial Image Capturing and Stitching System for Vegetation Observation

Real-time Middle Wave Infrared Aerial Image Capturing and St...

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IEEE International Instrumentation and measurement Technology Conference

作者： Chun-Fu Lin Sheng-Fuu Lin Wen-Jyi Hwang Yung-Hsiang Chen Chi-Hung Hwang Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China

ISBN: (纸本)9781479961153

Over the last decades, several studies have demonstrated the reflectance effectiveness of middle wave infrared (MWIR) for discriminating among different types of vegetation, and estimating the total and leaf biomass of several forest ecosystems. Therefore, a MWIR aerial image capturing system for vegetation observation is urgently required. Furthermore, stitching those MWIR aerial images together is necessary for a panorama of the region of interest (ROI). Most traditional stitching algorithms for aerial images are designed for visible images, and are not suitable for infrared images that are noisy, blurry, or lack detail. In this paper, a novel real-time MWIR aerial image capturing and stitching system for vegetation observation is proposed. The proposed stitching algorithm for aerial infrared images improved from scale invariant feature transform (SIFT) and random M-least square can find a sufficient number of feature points easily and perform rapid calculations. Therefore, the proposed MWIR aerial image capturing and stitching system for vegetation observation can operate in real time.

关键词： real-time MWIR capturing system stitching

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