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model reduction for continuous-time Markovian jump systems with incomplete statistics of mode information

International Journal of systems science 2014年第7期45卷 1496-1507页

作者： Yanling Wei Jianbin Qiu Hamid Reza Karimi Mao Wangpages 1496-1507View full textDownload full textAccess optionsDOI:10.1080/00207721.2013.837545Published online: 20 Sep 2013Citing articles: 0Article Views: 32Article usage statistics combine cumulative total PDF downloads full-text HTML views from publication date (but no earlier than 25 Jun 2011 launch date of this website) to 14 Jun 2014. Article views are only counted from this site. Although these data are updated every 24 hours there may be a 48-hour delay before the most recent numbers are available.Article usage statistics combine cumulative total PDF downloads full-text HTML views from publication date (but no earlier than 25 Jun 2011 launch date of this website) to 14 Jun 2014. Article views are only counted from this site. Although these data are updated every 24 hours there may be a 48-hour delay before the most recent numbers are available.Further InformationAbstractReferencesRelated articles [a] The Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 P. R. China[b] The?Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

This paper investigates the problem ofmodel reduction for a class of continuous-time Markovian jump linear systems with incomplete statistics of mode information, which simultaneously considers the exactly known, partially unknown and uncertain transition rates. By fully utilising the properties of transition rate matrices, together with the convexification of uncertain domains, a new sufficient condition forperformance analysis is first derived, and then two approaches, namely, the convex linearisation approach and the iterative approach, are developed to solve the model reduction problem. It is shown that the desired reduced-order models can be obtained by solving a set of strict linear matrix inequalities (LMIs) or a sequential minimisation problem subject to LMI constraints, which are numerically efficient with commercially available software. Finally, an illustrative example is given to show the effectiveness of the proposed design methods.

关键词： Markovian jump systems model reduction incomplete statistics of mode information linear matrix inequality

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Stability of soft-finger grasp under gravity

Stability of soft-finger grasp under gravity

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kensuke Harada Tokuo Tsuji Soichiro Uto Natsuki Yamanobe Kazuyuki Nagata Kosei Kitagaki Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan

We discuss grasp stability under gravity where each finger makes soft-finger contact with an object. By clustering polygon models of a finger and an object, the contact area between a finger and an object is obtained as the common area between an object cluster and a finger cluster. Then, by assuming the Winkler elastic foundation, the pressure distribution within the contact area is obtained. By using this pressure distribution, we show that we can judge grasp stability under soft-finger contact. We further consider defining a quality measure of a soft-finger grasp by assuming that although the gravitational force is applied to an object, the direction of gravity is unknown. To demonstrate the effectiveness of the proposed approach, we show several numerical examples.

关键词： Numerical stability Gravity Grasping Stability criteria Friction

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EPMA-World Congress 2015 Bonn, Germany. 3-5 September 2015 Abstracts

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EPMA JOURNAL 2016年第SUPPL 1期7卷 9-9页

作者： [Anonymous] Department of Radiology University of Bonn Sigmund-Freud-Str. 25 53105 Bonn Germany Market Access at Unicorn P.O.B. 91 Zhytomyr 10020 Ukraine Nanotechnology & Smart Systems NASA Ames Research Center Moffett Field CA USA Department of Neurosurgery Valparaiso University Medical School Valparaiso Chile Department of Oral Biology College of Dental Medicine Georgia Regents University Augusta Georgia 30912 USA Research Developing and Training Centre of Molecular Microbiology and Mucosal Immunology Uzhhorod National University Uzhhorod Ukraine “Astra-DIA” Medical Diagnostic Centre Uzhhorod Ukraine Cassovia Life Science Kysucké Nové Mesto Slovakia Department of Biomedical Engineering Wroclaw University of Technology Wroclaw Poland Faculty of Physiotherapy Wrocław University School of Physical Education Wroclaw Poland Pavol Jozef Šafárik University Košice Slovakia Uzhhorod National University Uzhhorod Ukraine Clinical Hospital “Pheophania” of State Affairs Department The Centre of Ultrasound Diagnostics and Interventional Sonography Kyiv Ukraine Association “Health and Wealth” Kyiv Ukraine TSBUA “IT Solutions” Kyiv Ukraine Maastricht University Medical Centre Maastricht The Netherlands Fleischhacker GmbH Schwerte Germany RIMS bvba Overijse Belgium German Foundation For the Chronically Ill Fürth Germany Linköping University Norrköping Sweden Medical Faculty Pilsen Pilsen Czech Republic Sananet Care BV Sittard The Netherlands Exploris AG Zürich Switzerland ense.ly San Francisco USA Mulimedica SPA Milano Italy Medtronic Iberica SA Madrid Spain Clinical Hospital “Pheophania” of State Affairs Department Zabolotny Str. 21 Kyiv 03680 Ukraine Zabolotny Institute of Microbiology and Virology National Academy of Sciences of Ukraine 154 Zabolotny st. Kyiv 03680 Ukraine Endocrinology centre Clinical Hospital “Pheophania” of State Affairs Department Zabolotny Str. 21 Kyiv 03680 Ukraine Bogomolets National Medical University T. Shevchenko boulevard 13 Kyi

A1 Predictive and prognostic biomarker panel for targeted application of radioembolisation improving individual outcomes in hepatocellular carcinoma Jella-Andrea Abraham, Olga Golubnitschaja A2 Integrated market access approach amplifying value of “Rx-CDx” Ildar Akhmetov A3 Disaster response: an opportunity to improve global healthcare Russell J. Andrews, Leonidas Quintana A4 USA PPPM: proscriptive, profligate, profiteering medicine-good for 1 % wealthy, not for 99 % unhealthy Russell J. Andrews A5 The role of IDO in a murine model of gingivitis: predictive and therapeutic potentials Babak Baban, Jun Yao Liu, Xu Qin, Tailing Wang, Mahmood S. Mozaffari A6 Specific diets for personalised treatment of diabetes type 2 Viktoriia V. Bati, Tamara V. Meleshko, Olga B. Levchuk, Nadiya V. Boyko A7 Towards personalized physiotherapeutic approach Joanna Bauer, Ewa Boerner, Halina Podbielska A8 Cells, animal, SHIME and in silico models for detection and verification of specific biomarkers of non-communicable chronic diseases Alojz Bomba, Viktor O. Petrov, Volodymyr G. Drobnych, Rostyslav V. Bubnov, Oksana M. Bykova, Nadiya V. Boyko A9 INTERACT-chronic care model: Self-treatment by patients with decision support e-Health solution Hans-Peter Brunner-La Rocca, Lutz Fleischhacker, Olga Golubnitschaja, Frank Heemskerk, Thomas Helms, Tiny Jaarsma, Judita Kinkorova, Jan Ramaekers, Peter Ruff, Ivana Schnur, Emilio Vanoli, Jose Verdu A10 PPPM in cardiovascular medicine in 2015 Hans-Peter Brunner-La Rocca A11 Magnetic resonance imaging of nanoparticles in mice, potential for theranostic and contrast media development – pilot results Rostyslav V. Bubnov, Sergiy A. Grabovetskyi, Olena M. Mykhalchenko, Natalia O. Tymoshok, Oleksandr B. Shcherbakov, Igor P. Semeniv, Mykola Y. Spivak A12 Ultrasound diagnosis for diabetic neuropathy - comparative study Rostyslav V. Bubnov, Tetyana V. Ostapenko A13 Ultrasound for stratification patients with diabetic foot ulcers for prevention and pers

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32nd International Austrian Winter Symposium Zell am See, the Netherlands. 20-23 January 2016 Abstracts

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EJNMMI RESEARCH 2016年第SUPPL 1期6卷 1-18页

作者： [Anonymous] PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology St Vincent's Hospital Linz Austria. PET-CT Center Linz Department of Nuclear Medicine & Endocrinology St Vincent's Hospital Linz Austria. Prostate Cancer Center Linz Department of Urology St Vincent's Hospital Linz Austria. Department of Radiation Oncology St Vincent's Hospital Linz Austria. Department of Radiology St Vincent's Hospital Linz Austria. Department of Nuclear Medicine and Endocrinology Paracelsus Private Medical University Salzburg St Vincent's Hospital Linz Austria. Department of Surgery St Vincent's Hospital Linz Austria. Department of Pathology St Vincent's Hospital Linz Austria. Department of Nuclear Medicine and Endocrinology University Hospital Salzburg Paracelsus Private Medical University Salzburg ᅟ Germany. Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna Vienna Austria. Medical University of Vienna Division of General and Pediatric Radiology Vienna Austria. Medical University of Vienna Institute of Pathology Vienna Austria. Medical University Vienna Division of Surgical Endocrinology Vienna Austria. Department of Biomedical Imaging and Image-guided Therapy Division of Nuclear Medicine Medical University of Vienna ᅟ Austria. Center for Medical Physics and Biomedical Engineering Medical University of Vienna ᅟ Austria. Department of Nuclear Medicine University of Würzburg ᅟ Germany. Department of Molecular and Medical Pharmacology UCLA ᅟ USA. Center for Medical Physics and Biomedical Engineering Medical University of Vienna Vienna Austria. Department of Nutritional Sciences University of Vienna ᅟ Austria. Division of General and Pediatric Radiology Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna ᅟ Austria. Wright Center of Innovation in Biomedical Imaging The Ohio State University Columbus OH USA. Sports Medicine The Ohio State University Columbus OH USA. Sports Medicine Pepp

A1 68Ga-PSMA PET/CT in staging and restaging of Prostate Cancer Patients: comparative study with 18F-Choline PET/CTW Langsteger, A Rezaee, W Loidl, HS Geinitz, F Fitz, M Steinmair, G Broinger, L Pallwien-Prettner, M BeheshtiA2 F18 Choline PET - CT: an accurate diagnostic tool for the detection of parathyroid adenoma?L Imamovic, M Beheshti, G Rendl, D Hackl, O Tsybrovsky, M Steinmair, K Emmanuel, F Moinfar, C Pirich, W LangstegerA3 [18F]Fluoro-DOPA-PET/CT in the primary diagnosis of medullary thyroid carcinomaA Bytyqi, G Karanikas, M Mayerhöfer, O Koperek, B Niederle, M HartenbachA4 Variations of clinical PET/MR operations: An international survey on the clinical utilization of PET/MRIT Beyer, K Herrmann, J CzerninA5 Standard Dixon-based attenuation correction in combined PET/MRI: Reproducibility and the possibility of Lean body mass estimationI Rausch, P Rust, MD DiFranco, M Lassen, A Stadlbauer, ME Mayerhöfer, M Hartenbach, M Hacker, T BeyerA6 High resolution digital FDG PET/MRI imaging for assessment of ACL graft viabilityK Binzel, R Magnussen, W Wei, MU Knopp, DC Flanigan, C Kaeding, MV KnoppA7 Using pre-existing hematotoxicity as predictor for severe side effects and number of treatment cycles of Xofigo therapyA Leisser, M Nejabat, M Hartenbach, G Kramer, M Krainer, M Hacker, A HaugA8 QDOSE - comprehensive software solution for internal dose assessmentWencke Lehnert, Karl Schmidt, Sharok Kimiaei, Marcus Bronzel, Andreas KlugeA9 Clinical impact of Time-of-Flight on next-generation digital PET imaging of Yttrium-90 radioactivity following liver radioembolizationCL Wright, K Binzel, J Zhang, Evan Wuthrick, Piotr Maniawski, MV KnoppA10 Snakes in patients! Lessons learned from programming active contours for automated organ segmentationM Blaickner, E Rados, A Huber, M Dulovits, H Kulkarni, S Wiessalla, C Schuchardt, RP Baum, B Knäusl, D GeorgA11 Influence of a genetic polymorphism on brain uptake of the dual ABCB1/ABCG2 substrate [11C]tariquidarM Bauer, B Wulkersdorf

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Cross-sectional imaging of C. elegans by SEM-CT using environmental SEM for nanomanipulation 14

Cross-sectional imaging of C. elegans by SEM-CT using enviro...

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2014 14th IEEE International Conference on Nanotechnology, IEEE-NANO 2014

作者： Nakajima, Masahiro Takeuchi, Masaru Hisamoto, Naoki Fukuda, Toshio Hasegawa, Yasuhisa Huang, Qiang Center For SEM-Nano Mechatronics Nagoya University Furo-cho Chikusa-ku Nagoya464-8603 Japan Department of Micro- Nano Systems Engineering Nagoya University Nagoya Aichi Japan Division of Biological Science Graduate School of Science Nagoya University Nagoya Aichi Japan Institute for Advanced Research Nagoya University Nagoya Aichi Japan Faculty of Science and Engineering Meijo University Nagoya Aichi Japan Intelligent Robotics Institute School of Mechatronic Engineering Beijing Institute of Technology China

ISBN: (纸本)9781479956227

A novel technique was presented for a cross-sectional imaging of Caenorhabditis elegans (C. elegans) by Scanning Electron Microscope - Computed Tomography (SEM-CT) using Environmental-SEM (E-SEM) for nanomanipulation applications. In our previous works, a nanorobotic manipulation system was established inside the E-SEM for water-contained samples including biological organism with a real-time high resolution observation. However, the SEM image is two dimensional (2D) and surficial information from the secondly electrons. Hence, it is not able to evaluate the targeted structure inside the sample. In this research, we presented the cross-sectional observation of the sample by SEM-CT system which is used the X-ray generated by the electron beam of SEM. To improve the signal-to-noise ratio of CT imaging, we evaluated the following ways, 1) apertures for X-ray before/after irradiating the sample, 2) adjustment of emission currents of the electron beam, 3) iteration processing of captured images. To reduce the damage of C. elegans during observation, a method was used to immerse the C. elegans by a liquid oil. The proposed 3D imaging technique is useful to evaluate the 3D manipulation of the C. elegans, such as nano-injection application with functional micro-nano beads inside the C. elegans. © 2014 IEEE.

关键词： Electron beams

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Incorporating higher dimensionality in joint decomposition of EEG and fMRI 22

Incorporating higher dimensionality in joint decomposition o...

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22nd European Signal Processing Conference, EUSIPCO 2014

作者： Swinnen, Wout Hunyadi, Borbála Acar, Evrim Huffe, Sabine Van De Vos, Maarten STADIUS Center for Dynamical Systems Signal Processing and Data Analytics Department of Electrical Engineering KU Leuven Leuven Belgium IMinds Medical IT Department Belgium Faculty of Science University of Copenhagen Denmark Methods in Neurocognitive Psychology Lab Department of Psychology Carl von Ossietzky University Oldenburg Germany Research Center Neurosensory Science Carl von Ossietzky University Oldenburg Germany

ISBN: (纸本)9780992862619

EEG-fMRI research to study brain function became popular because of the complementarity of the modalities. Through the use of data-driven approaches such as jointICA, sources extracted from EEG can be linked to regions in fMRI. Joint-ICA in its standard formulation however does not allow for the inclusion of multiple EEG electrodes, so it is a rather arbitrary choice which electrode is used in the analysis. In this study, we explore several ways to include the higher dimensionality of the EEG during a joint decomposition of EEG and fMRI. Our results show that incorporation of multiple channels in the jointICA can reveal new relations between fMRI activation maps and ERP features. © 2014 EURASIP.

关键词： Electrodes

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Obtaining a W State from a Greenberger-Horne-Zeilinger State via Stochastic Local Operations and Classical Communication with a Rate Approaching Unity

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Physical Review Letters 2014年第16期112卷 160401-160401页

作者： Nengkun Yu Cheng Guo Runyao Duan State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney (UTS) New South Wales 2007 Australia UTS-AMSS Joint Research Laboratory for Quantum Computation and Quantum Information Processing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

We introduce a notion of the entanglement transformation rate to characterize the asymptotic comparability of two multipartite pure entangled states under stochastic local operations and classical communication (SLOCC). For two well known SLOCC inequivalent three-qubit states |GHZ⟩=(1/2)(|000⟩+|111⟩) and |W⟩=(1/3)(|100⟩+|010⟩+|001⟩), we show that the entanglement transformation rate from |GHZ⟩ to |W⟩ is exactly 1. That means that we can obtain one copy of the W state from one copy of the Greenberg-Horne-Zeilinger (GHZ) state by SLOCC, asymptotically. We then apply similar techniques to obtain a lower bound on the entanglement transformation rates from an N-partite GHZ state to a class of Dicke states, and prove the tightness of this bound for some special cases which naturally generalize the |W⟩ state. A new lower bound on the tensor rank of the matrix permanent is also obtained by evaluating the tensor rank of Dicke states.

关键词： STOCHASTIC analysis TENSOR algebra TRANSFORMATION rate SCALAR field theory QUANTUM information theory

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Box-constrained Projective Nonnegative Matrix Factorization via Augmented Lagrangian Method

Box-constrained Projective Nonnegative Matrix Factorization ...

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International Joint Conference on Neural Networks

作者： Xiang Zhang Naiyang Guan Long Lan Dacheng Tao Zhigang Luo Science and Technology on Parallel and Distributed Processing Laboratory School of Computer Science National University of Defense Technology Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology University of Technology

ISBN: (纸本)9781479914821

Projective non-negative matrix factorization (PNMF) projects a set of examples onto a subspace spanned by a non-negative basis whose transpose is regarded as the projection matrix. Since PNMF learns a natural parts-based representation, it has been successfully used in text mining and pattern recognition. However, it is non-trivial to analyze the convergence of the optimization algorithms for PNMF because its objective function is non-convex. In this paper, we propose a Box-constrained PNMF (BPNMF) method to overcome this deficiency of PNMF. In particular, BPNMF introduces an auxiliary variable, i.e., the coefficients of examples, and incorporates the following two types of constraints: 1) each entry of the basis is non-negative and upper-bounded, i.e., box-constrained, and 2) the coefficients equal to the projected points of the examples. The first box constraint makes the basis to be bound and the second equality constraint keeps its equivalence to PNMF. Similar to PNMF, BPNMF is difficult because the objective function is non-convex. To solve BPNMF, we developed an efficient algorithm in the frame of augmented Lagrangian multiplier (ALM) method and proved that the ALM-based algorithm converges to local minima. Experimental results on two face image datasets demonstrate the effectiveness of BPNMF compared with the representative methods.

关键词： Accuracy Linear programming Training Convergence Optimization Face Educational institutions

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Soft-Constrained Nonnegative Matrix Factorization via Normalization

Soft-Constrained Nonnegative Matrix Factorization via Normal...

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International Joint Conference on Neural Networks

作者： Long Lan Naiyang Guan Xiang Zhang Dacheng Tao Zhigang Luo Science and Technology on Parallel and Distributed Processing Laboratory School of Computer Science National University of Defense Technology Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology University of Technology

ISBN: (纸本)9781479914821

Semi-supervised clustering aims at boosting the clustering performance on unlabeled samples by using labels from a few labeled samples. Constrained NMF (CNMF) is one of the most significant semi-supervised clustering methods, and it factorizes the whole dataset by NMF and constrains those labeled samples from the same class to have identical encodings. In this paper, we propose a novel soft-constrained NMF (SCNMF) method by softening the hard constraint in CNMF. Particularly, SCNMF factorizes the whole dataset into two lower-dimensional factor matrices by using multiplicative update rule (MUR). To utilize the labels of labeled samples, SCNMF iteratively normalizes both factor matrices after updating them with MURs to make encodings of labeled samples close to their label vectors. It is therefore reasonable to believe that encodings of unlabeled samples are also close to their corresponding label vectors. Such strategy significantly boosts the clustering performance even when the labeled samples are rather limited, e.g., each class owns only a single labeled sample. Since the normalization procedure never increases the computational complexity of MUR, SCNMF is quite efficient and effective in practices. Experimental results on face image datasets illustrate both efficiency and effectiveness of SCNMF compared with both NMF and CNMF.

关键词： Matrix decomposition Encoding Vectors Clustering methods Clustering algorithms Time complexity Face

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A manipulation motion planner for dual-arm industrial manipulators

A manipulation motion planner for dual-arm industrial manipu...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kensuke Harada Tokuo Tsuji Jean-Paul Laumond Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan LAAS-CNRS Toulouse France

In this paper, we propose a general manipulation planner for dual-arm industrial manipulators. According to the context, the planner automatically determines whether both arms have to be used simultaneously or not. The approach is based on (i) the extension of an object placement algorithm previously developed in [23], and (ii) the introduction of several types of re-grasping motions dedicated to dual-arm manipulators. Such motions induce a special topological structure in the manipulation space that can be captured into a manipulation graph. The graph is then used to solve the manipulation problem by a simple graph search algorithm. After searching for a solution path, we further consider optimizing the path by minimizing the number of re-grasps. The effectiveness of the approach is demonstrated on the dual-arm manipulator HiroNX working in a realistic factory environment.

关键词： Manipulators Grasping Planning Manifolds Context Optimization

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