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American Control Conference

作者： Chaitanya A. Baone Christopher L. DeMarco Electric Power Systems Lab GE Global Research Center Niskayuna NY 12309 USA Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison WI 53706 USA

ISBN: (纸本)9781479932757

To enable renewable generation to fully contribute to reliable grid operation with higher levels of penetration, it is important that such resources contribute to grid control, including faster time scale active power control that is valuable to small-signal electromechanical stability. However, given the small size and distributed nature of many renewables, it is unrealistic to assume that they will employ the type of centrally coordinated control schemes typical of large, central station synchronous generators. This paper proposes a distributed control design approach that allows each distributed renewable generator or energy storage device to be responsible for improving damping of a single oscillatory electromechanical mode. The consequence is that one may employ a static state feedback design (a classic LQ design is employed here) that requires information of state behavior only within a two-dimension invariant subspace associated with the mode of interest. Using a modal-focused Hautus matrix test of obervability, we develop simple tests to establish grid buses from which a desired mode may be most effectively observed from either local frequency measurement, or from a local measurement plus a single remote phasor measurement unit (PMU) signal. In this framework, the state information required may then be recovered by a Luenberger observer of as little as second order. That is, the local, distributed controller on a given renewable generator or energy storage device uses only one or two measurements, may be as simple as second order, and yet contributes to the system objective of improving modal damping.

关键词： Observability Actuators Eigenvalues and eigenfunctions Generators Observers Batteries Load modeling

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Towards Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

Towards Consistent Reconstructions of Indoor Spaces Based on...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Haiwei Dong Nadia Figueroa Abdulmotaleb El Saddik Multimedia Communications Research Lab School of Electrical Engineering and Computer Science University of Ottawa Ontario Canada Learning Algorithms and Systems Laboratory Ecole Polytechnique Federale de Lausanne (EPFL) Switzerland

ISBN: (纸本)9781479969357

We focus on generating consistent reconstructions of indoor spaces from a freely moving handheld RGB-D sensor, with the aim of creating virtual models that can be used for measuring and remodeling. We propose a novel 6D RGB-D odometry approach that finds the relative camera pose between consecutive RGB-D frames by keypoint extraction and feature matching both on the RGB and depth image planes. Furthermore, we feed the estimated pose to the highly accurate KinectFusion algorithm, which uses a fast ICP (Iterative-Closest-Point) to fine-tune the frame-to-frame relative pose and fuse the Depth data into a global implicit surface. We evaluate our method on a publicly available RGB-D SLAM benchmark dataset by Sturm et al. The experimental results show that our proposed reconstruction method solely based on visual odometry and KinectFusion outperforms the state-of-the-art RGB-D SLAM system accuracy. Our algorithm outputs a ready-to-use polygon mesh (highly suitable for creating 3D virtual worlds) without any post-processing steps.

关键词： indoor spaces odometry process step Remodeling

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Model-based Predictive Control of Wheeled Omni-directional Robots Considering Nonlinear Dynamical Constraints and Input Delay

Model-based Predictive Control of Wheeled Omni-directional R...

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International Conference on Control, Automation, Robotics & Vision

作者： Mahdi Zarghami Ahmad Fakharian Amin Ganjali Poudeh Aras Adhami-Mirhosseini Mechatronics Research Laboratory (MRL) Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran Advanced Control Systems Lab. School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781479952007

The main enthusiasm of the use of MPC in this study relies on its ability in including state and control constraints that naturally comes up in practical problems. At the same time, nonlinearity of constraints compels the numerical solution of optimization problem. Therefore, a number of intelligent algorithms to overcome nonlinear optimization of the cost function is reviewed, however, their time consuming computations are considered as a dominant limitation. Meantime, due to its remarkable advantages, the motion control of Omni-directional mobile robot is handled by design of NMPC scheme. Furthermore, a novel kinematic model for the application of mobile robot is represented. As a demonstration for the proposed model, simulation results show that settling time is reduced 22% in comparison with ideal kinematic model and also the performance of the suggested control strategy shows its effectiveness in presence of disturbance and noise in all environments.

关键词： Robot kinematics Optimization Mobile robots Mathematical model Kinematics Trajectory

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Real-timefastest path algorithm using bidirectional point-to-point search on a Fuzzy Time-Dependent transportation network

Real-timefastest path algorithm using bidirectional point-to...

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International Conference on Advanced Logistics and Transport (ICALT)

作者： Mohamed Haitam Laarabi Azedine Boulmakoul Aziz Mabrouk Roberto Sacile Emmanuel Garbolino Department of Computer science Bioengineering Robotics and Systems Engineering University of Genoa Italy Computer Sciences Department LIM/IST Lab. Morocco Department of Mathematics and Computer Sciences Faculty Polydisciplinary of Tetouan Morocco Crisis Research Centre - CRC MINES ParisTech Sophia Antipolis France

Nowadays management of information systems within the transport industry for effective and efficient decision making requires the use of latest technological development such real-time monitoring and traffic simulation. This will lead to the development of methods and algorithms, for instance, of fleet management, routing within a specified time windows and risk assessment. In this paper we will focus on proposing a method for finding itineraries that has the fastest travel-time on a time-dependent transportation network. It is modelled as a weighted graph, whose weight are time duration that depends on the time at which the road segment is traversed. This problem can be solved in polynomial time with a Single-Source algorithm, by the definition of some restrictions on the edge weights. However, its application on a graph with several millions nodes and edges is highly memory and time consuming. Alternatively, a bidirectional Point-to-Point path search, using A-star, offers far better performance. The novelty of the proposed approach is based on the modelling of an appropriate degree of dynamics of a real-world network by considering the fuzzy nature of the travel-time using Zadeh's fuzzy concept. In addition, we speed-up search by integrating a pre-computation phase, which consists in network partitioning using network Voronoi diagrams with implicit calculation of the lower-bound travel-time label for each node-to-border, border-to-border and border-to-node. Those labels should never overestimate the travel-time at any moment, to ensure the reliability of the suggested heuristic cost function.

关键词： Roads Heuristic algorithms Real-time systems Measurement Cost function Libraries Electronic mail

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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Notched ultra-wideband filter based on stepped-impedance T-shaped resonator in low temperature cofired ceramic

Notched ultra-wideband filter based on stepped-impedance T-s...

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IEEE International Wireless Symposium (IWS)

作者： Chun-Xia Zhou Yong-Xin Guo Lin-Sheng Wu Wen Wu Qian Xiao Ministerial Key Laboratory of JGMT Nanjing University of Science and Technology Nanjing China Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Ministry of Education for Research of Design and EMC of High-Speed Electronic Systems Shanghai Jiao Tong University Shanghai China

A compact ultra-wideband (UWB) bandpass filter with an inherent notched band and steep slopes has been presented and implemented with the low temperature cofired ceramic technology. The filter is realized by a stepped-impedance T-shaped resonator (SITR) coupled to a pair of quarter-wavelength input/output feed-lines. The proposed SITR can facilitate not only a notched band, but also sharp roll-off characteristics. Measured results agree well with the HFSS simulated results. The whole size of the UWB filter is only 6.0×6.0×1.92 mm 3 .

关键词： Band-pass filters Resonator filters Filtering theory Resonant frequency Ultra wideband technology Wireless communication Metals

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Erratum to: The whole genome sequence of the Mediterranean fruit fly, Ceratitis capitata (Wiedemann), reveals insights into the biology and adaptive evolution of a highly invasive pest species

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Genome biology 2017年第1期18卷 11页

作者： Alexie Papanicolaou Marc F Schetelig Peter Arensburger Peter W Atkinson Joshua B Benoit Kostas Bourtzis Pedro Castañera John P Cavanaugh Hsu Chao Christopher Childers Ingrid Curril Huyen Dinh HarshaVardhan Doddapaneni Amanda Dolan Shannon Dugan Markus Friedrich Giuliano Gasperi Scott Geib Georgios Georgakilas Richard A Gibbs Sarah D Giers Ludvik M Gomulski Miguel González-Guzmán Ana Guillem-Amat Yi Han Artemis G Hatzigeorgiou Pedro Hernández-Crespo Daniel S T Hughes Jeffery W Jones Dimitra Karagkouni Panagiota Koskinioti Sandra L Lee Anna R Malacrida Mosè Manni Kostas Mathiopoulos Angela Meccariello Monica Munoz-Torres Shwetha C Murali Terence D Murphy Donna M Muzny Georg Oberhofer Félix Ortego Maria D Paraskevopoulou Monica Poelchau Jiaxin Qu Martin Reczko Hugh M Robertson Andrew J Rosendale Andrew E Rosselot Giuseppe Saccone Marco Salvemini Grazia Savini Patrick Schreiner Francesca Scolari Paolo Siciliano Sheina B Sim George Tsiamis Enric Ureña Ioannis S Vlachos John H Werren Ernst A Wimmer Kim C Worley Antigone Zacharopoulou Stephen Richards Alfred M Handler Hawkesbury Institute for the Environment Western Sydney University Sydney Australia. Justus-Liebig-University Giessen Institute for Insect Biotechnology 35394 Giessen Germany. Department of Biological Sciences Cal Poly Pomona Pomona CA 91768 USA. Department of Entomology and Center for Disease Vector Research University of California Riverside Riverside CA 92521 USA. Interdepartmental Graduate Program in Genetics Genomics & Bioinformatics University of California Riverside Riverside CA 92521 USA. Department of Biological Sciences University of Cincinnati Cincinnati OH 45221 USA. Insect Pest Control Laboratory Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture Seibersdorf Vienna Austria. Department of Environmental and Natural Resources Management University of Patras Agrinio Greece. Department of Environmental Biology Centro de Investigaciones Biológicas CSIC 28040 Madrid Spain. Human Genome Sequencing Center Department of Human and Molecular Genetics Baylor College of Medicine 77030 Houston TX USA. National Agricultural Library USDA 20705 Beltsville MD USA. Georg-August-Universität Göttingen Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie 37077 Göttingen Germany. Department of Biology University of Rochester 14627 Rochester NY USA. Department of Biological Sciences Wayne State University 48202 Detroit MI USA. Department of Biology and Biotechnology University of Pavia 27100 Pavia Italy. USDA-ARS Pacific Basin Agricultural Research Center 96720 Hilo HI USA. DIANA-Lab Department of Electrical & Computer Engineering University of Thessaly 382 21 Volos Greece and Hellenic Pasteur Institute 11521 Athens Greece. Department of Entomology University of Illinois at Urbana-Champaign 61801 Urbana IL USA. Department of Biological Sciences Oakland University 48309 Rochester MI USA. Department of Biochemistry and Biotechnology University of Thessaly Larissa Greece. Department of Biology Univer

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Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations

Human action recognition using a temporal hierarchy of covar...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Hussein, Mohamed E. Torki, Marwan Gowayyed, Mohammad A. El-Saban, Motaz Department of Computer and Systems Engineering Alexandria University Alexandria Egypt Microsoft Research Advanced Technology Lab Cairo Cairo Egypt

ISBN: (纸本)9781577356332

Human action recognition from videos is a challenging machine vision task with multiple important application domains, such as humanrobot/ machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. In this paper, we present a novel approach to human action recognition from 3D skeleton sequences extracted from depth data. We use the covariance matrix for skeleton joint locations over time as a discriminative descriptor for a sequence. To encode the relationship between joint movement and time, we deploy multiple covariance matrices over sub-sequences in a hierarchical fashion. The descriptor has a fixed length that is independent from the length of the described sequence. Our experiments show that using the covariance descriptor with an off-the-shelf classification algorithm outperforms the state of the art in action recognition on multiple datasets, captured either via a Kinect-type sensor or a sophisticated motion capture system. We also include an evaluation on a novel large dataset using our own annotation.

关键词： Covariance matrix

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Histogram of Oriented Displacements (HOD): Describing trajectories of human joints for action recognition

Histogram of Oriented Displacements (HOD): Describing trajec...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Gowayyed, Mohammad A. Torki, Marwan Hussein, Mohamed E. El-Saban, Motaz Department of Computer and Systems Engineering Alexandria University Alexandria Egypt Microsoft Research Advanced Technology Lab. Cairo Cairo Egypt

ISBN: (纸本)9781577356332

Creating descriptors for trajectories has many applications in robotics/human motion analysis and video copy detection. Here, we propose a novel descriptor for 2D trajectories: Histogram of Oriented Displacements (HOD). Each displacement in the trajectory votes with its length in a histogram of orientation angles. 3D trajectories are described by the HOD of their three projections. We use HOD to describe the 3D trajectories of body joints to recognize human actions, which is a challenging machine vision task, with applications in human-robot/machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. The descriptor is fixed-length, scale-invariant and speed-invariant. Experiments on MSR-Action3D and HDM05 datasets show that the descriptor outperforms the state-of-the-art when using off-the-shelf classification tools.

关键词： Trajectories

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Solid-State Lighting: Toward smart and Ultra-efficient Solid-State Lighting (Advanced Optical Materials 9/2014)

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Advanced Optical Materials 2014年第9期2卷

作者： Jeffrey Y. Tsao Mary H. Crawford Michael E. Coltrin Arthur J. Fischer Daniel D. Koleske Ganapathi S. Subramania G. T. Wang Jonathan J. Wierer Robert F. Karlicek Jr. Energy Frontier Research Center for Solid-State Lighting Science Sandia National Laboratories Albuquerque NM 87185 Smart Lighting Engineering Research Center Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

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