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International Conference on Intelligent and Advanced systems

作者： Salman Ali Shaukat Muhammad Arif Umar Iqbal Bhatti Khalid Munawar Aamer Iqbal Bhatti Ubaid M. Al-Saggaf Center of Excellence in Intelligent Engineering Systems King Abdulaziz University Department of Computer Science Umm-Alqura University Department of Aeronautics and Astronautics Institute of Space Technology Control and Signal Processing Research Group Capital University of Science and Technology

ISBN: (纸本)9781509008469

Vehicle navigation systems rely on the correct positioning information and GPS is the best solution. However, in situations of GPS outage, like in tunnels and dense woods, the vehicle can lose track quickly. Modern vehicle navigation systems are mostly based on the vehicle dynamics;proprietary algorithms keep navigating for quite some time. But these solutions are expensive and add much to a vehicle's cost. This paper proposes a Kalman filter based dead-reckoning algorithm that fuses GPS information with the orientation information from a cheap IMU/INS, and the vehicle's speed accessed from its ECU. This low-cost system uses GPS and IMU/INS in a loosely coupled manner along with vehicle's speed and keeps supplying a quite accurate position information with GPS outage for significantly long intervals. With proper tuning and initialization, the proposed scheme has a potential to keep working in a completely GPS-denied situation.

关键词： Navigation GPS IMU/INS Dead-reckoning

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Penetrance of neurodevelopmental copy number variants is associated with variations in cortical morphology

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Biological psychiatry. Cognitive neuroscience and neuroimaging 2025年

作者： Ana I Silva Ida E Sønderby George Kirov Abdel Abdellaoui Ingrid Agartz David Ames Nicola J Armstrong Eric Artiges Tobias Banaschewski Anne S Bassett Carrie E Bearden John Blangero Rune Boen Dorret I Boomsma Robin Bülow Nancy J Butcher Vince Calhoun Linda E Campbell Eva W C Chow Simone Ciufolini Michael C Craig Benedicto Crespo-Farroco Adam C Cunningham Shareefa Dalvie Eileen Daly Paola Dazzan Eco J C de Geus Greig I de Zubicaray Joanne L Doherty Gary Donohoe Mark Drakesmith Thomas Espeseth Vincent Frouin Hugh Garavan David C Glahn Naomi J Goodrich-Hunsaker Penny A Gowland Hans J Grabe Antoine Grigis Maria Gudbrandsen Boris A Gutman Jan Haavik Asta K Håberg Jeremy Hall Andreas Heinz Sarah Hohmann Jouke-Jan Hottenga Sébastien Jacquemont Neda Jahanshad Rachel K Jonas Derek K Jones Erik G Jönsson Sanne Koops Kuldeep Kumar Stephanie Le Hellard Herve Lemaitre Jingyu Liu Astri J Lundervold Jean-Luc Martinot Karen A Mather Donna M McDonald-McGinn Katie L McMahon Allan F McRae Sarah E Medland Clara A Moreau Kieran C Murphy Declan Murphy Robin M Murray Frauke Nees Michael J Owen Marie-Laure Paillère Martinot Diimitri Papadopoulos Orfanos Tomas Paus Luise Poustka Tiago Reis Marques David R Roalf Perminder S Sachdev Freda Scheffler J Eric Schmitt Gunter Schumann Vidar M Steen Dan J Stein Lachlan T Strike Alexander Teumer Anbupalam Thalamuthu Sophia I Thomopoulos Diana Tordesillas-Gutiérrez Julian N Trollor Anne Uhlmann Ariana Vajdi Dennis van 't Ent Therese van Amelsvoort Marianne B M van den Bree Dennis van der Meer Javier Vázquez-Bourgon Julio E Villalón-Reina Uwe Völker Henry Völzke Jacob A S Vorstman Lars T Westlye Nigel Williams Katharina Wittfeld Margaret J Wright Paul M Thompson Ole A Andreassen David E J Linden School for Mental Health and Neuroscience Department of Psychiatry and Neuropsychology Faculty of Health Medicine and Life Sciences Maastricht University Maastricht The Netherlands Neuroscience and Mental Health Innovation Institute Cardiff University Cardiff United Kingdom Center for Magnetic Resonance Research Department of Radiology University of Minnesota Minneapolis MN USA. Electronic address: silvaai@um.edu. Centre for Precision Psychiatry Institute of Clinical Medicine University of Oslo Oslo Norway Department of Medical Genetics Oslo University Hospital Oslo Norway KG Jebsen Centre for Neurodevelopmental Disorders University of Oslo Oslo Norway. Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff United Kingdom Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff United Kingdom. Department of Psychiatry Amsterdam UMC University of Amsterdam Amsterdam the Netherlands. Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine University of Oslo Oslo Norway Centre for Psychiatry Research Department of Clinical Neuroscience Karolinska Institutet & Stockholm Health Care Services Stockholm Region Stockholm Sweden Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway. University of Melbourne Academic Unit for Psychiatry of Old Age Kew Victoria Australia. Mathematics and Statistics Curtin University Perth WA Australia. Institut National de la Santé et de la Recherche Médicale INSERM U1299 "Trajectoires développementales et psychiatrie" Université Paris-Saclay Ecole Normale supérieure Paris-Saclay CNRS Centre Borelli Gif-sur-Yvette France Psychiatry Department EPS Barthélémy Durand Etampes Île-de-France France. Department of Child and Adolescent Psychiatry and Psychotherapy Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany. Clinical Genetics Research Program Centre for

BACKGROUND:Copy number variants (CNVs) increase risk for neurodevelopmental conditions. The neurobiological mechanisms linking these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals carrying CNVs are associated with their degree of penetrance. METHODS:We investigated if increased CNV-penetrance for schizophrenia and other developmental disorders was associated with variations in cortical and subcortical morphology. We pooled T1-weighted brain magnetic resonance imaging and genetic data from 22 cohorts from the ENIGMA-CNV consortium. In the main analyses, we included 9,268 individuals (aged 7 to 90 years, 54% females), from which we identified 398 carriers of 36 neurodevelopmental CNVs at 20 distinct loci. A secondary analysis was performed including additional neuroimaging data from the ENIGMA-22q consortium, including 274 carriers of the 22q11.2 deletion and 291 non-carriers. CNV-penetrance was estimated through penetrance scores that were previously generated from large cohorts of patients and controls. These scores represent the probability risk to develop either schizophrenia or other developmental disorders (including developmental delay, autism spectrum disorder and congenital malformations). RESULTS:For both schizophrenia and developmental disorders, increased penetrance scores were associated with lower surface area in the cerebral cortex and lower intracranial volume. For both conditions, associations between CNV-penetrance scores and cortical surface area were strongest in regions of the occipital lobes, specifically in the cuneus and lingual gyrus. CONCLUSIONS:Our findings link global and regional cortical morphometric features with CNV-penetrance, providing new insights into neurobiological mechanisms of genetic risk for schizophrenia and other developmental disorders.

关键词： autism neuroimaging psychiatric disorders schizophrenia structural imaging

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Probabilistic diagnosability of hybrid systems 18

Probabilistic diagnosability of hybrid systems

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18th ACM International Conference on Hybrid systems: Computation and Control, HSCC 2015

作者： Deng, Yi Julius, A. Agung D'Innocenzo, Alessandro Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute United States Department of Engineering and Information Sciences and Mathematics Center of Excellence DEWS University of l'Aquila Italy

ISBN: (纸本)9781450334334

The model-based fault diagnosability analysis is concerned with the timely detection and isolation of faults by using the system model and observations of the system output. In this paper, we propose the (δd;δm;α)-diagnosability notion for hybrid systems with probabilistic reset, where the faults are diagnosed by observing the timed event sequences. We also present an approach for the analysis of such diagnosability. The (δd;δm;α)-diagnosability notion characterizes the worst- case probability α of detecting and isolating faults within the maximum delay δd since their first occurrence, given the measurement uncertainty δm in observing the time intervals between observed events. We present a method of system abstraction, and prove a quantitative relation between the (δd;δm;α)-diagnosability of the original system and the abstraction. The abstraction has only finitely many trajectories that extend to the end of the time horizon of interest, which allows us to practically calculate the diagnosability and construct the diagnoser. © 2015 ACM.

关键词： Hybrid systems

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Enterotypes in the landscape of gut microbial community composition (vol 3, pg 8, 2017)

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NATURE MICROBIOLOGY 2018年第3期3卷 388-388页

作者： Costea, Paul I. Hildebrand, Falk Arumugam, Manimozhiyan Backhed, Fredrik Blaser, Martin J. Bushman, Frederic D. de Vos, Willem M. Ehrlich, S. Dusko Fraser, Claire M. Hattori, Masahira Huttenhower, Curtis Jeffery, Ian B. Knights, Dan Lewis, James D. Ley, Ruth E. Ochman, Howard O'Toole, Paul W. Quince, Christopher Relman, David A. Shanahan, Fergus Sunagawa, Shinichi Wang, Jun Weinstock, George M. Wu, Gary D. Zeller, Georg Zhao, Liping Raes, Jeroen Knight, Rob Bork, Peer European Molecular Biology Laboratory Heidelberg Germany. VIB Center for Microbiology VIB Belgium. Laboratory of Microbiology Vrije Universiteit Brussel Brussels Belgium. The Novo Nordisk Foundation Center for Basic Metabolic Research Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark. Wallenberg Laboratory Department of Molecular and Clinical Medicine Institute of Medicine Sahlgrenska Academy University of Gothenburg Gothenburg Sweden. Novo Nordisk Foundation Center for Basic Metabolic Research Section for Metabolic Receptology and Enteroendocrinology Faculty of Health Sciences University of Copenhagen Copenhagen Denmark. New York University Langone Medical Center New York NY USA. Department of Microbiology Perelman School of Medicine at the University of Pennsylvania Philadelphia PA USA. RPU Immunobiology Department of Bacteriology & Immunology University of Helsinki Helsinki Finland. Laboratory of Microbiology Wageningen University Wageningen The Netherlands. Metagenopolis Institut National de la Recherche Agronomique Jouy en Josas France. King's College London Centre for Host-Microbiome Interactions Dental Institute Central Office Guy's Hospital London UK. Institute for Genome Sciences at the University of Maryland School of Medicine Baltimore MD USA. Graduate School of Advanced Science and Engineering Waseda University Tokyo Japan. Department of Biostatistics Harvard School of Public Health Boston MA USA. APC Microbiome Institute University College Cork Cork Ireland. Biotechnology Institute University of Minnesota Saint Paul MN USA. Department of Computer Science and Engineering University of Minnesota Minneapolis MN USA. Center for Clinical Epidemiology and Biostatistics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. MPI Department of Microbiome Science Tübingen Germany. Department of Integrative Biology University of Texas Austin TX USA. Warwick Medical School University

Population stratification is a useful approach for a better understanding of complex biological problems in human health and wellbeing. The proposal that such stratification applies to the human gut microbiome, in the form of distinct community composition types termed enterotypes, has been met with both excitement and controversy. In view of accumulated data and re-analyses since the original work, we revisit the concept of enterotypes, discuss different methods of dividing up the landscape of possible microbiome configurations, and put these concepts into functional, ecological and medical contexts. As enterotypes are of use in describing the gut microbial community landscape and may become relevant in clinical practice, we aim to reconcile differing views and encourage a balanced application of the concept.

关键词： Community composition landscapes

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A novel portable, low-cost kinect-based system for motion analysis in neurological diseases

A novel portable, low-cost kinect-based system for motion an...

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

作者： João Paulo Silva Cunha Ana Patricia Rocha Hugo Miguel Pereira Choupina José Maria Fernandes Maria José Rosas Rui Vaz Felix Achilles Anna Mira Loesch Christian Vollmar Elisabeth Hartl Soheyl Noachtar Institute for Systems Engineering and Computers - Technology and Science (INESC TEC) and Faculty of Engineering (FEUP) Universidade do Porto Porto Porto PT Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro Aveiro Portugal Movement Disorders Group São João University Hospital Porto Portugal Neurosciences Unit University of Porto Porto Portugal Epilepsy Center University of Munich Munich Germany Chair for Computer Aided Medical Procedures Technische Universität München Munich Germany

Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer). The applications enable the preview, acquisition, review and management of data provided by the sensor, which are then used for motion analysis of relevant events. NeuroKinect is a portable, low-cost and markerless solution that is suitable for use in the clinical environment. Furthermore, it is able to provide quantitative support to the clinical assessment of different neurological diseases with movement impairments, as demonstrated by its usage in two different clinical routine scenarios: gait analysis in Parkinson's disease and seizure semiology analysis in epilepsy.

关键词： Three-dimensional displays Epilepsy Cameras Monitoring Two dimensional displays Data acquisition

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Controller synthesis for autonomous systems interacting with human operators 15

Controller synthesis for autonomous systems interacting with...

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6th ACM/IEEE International Conference on Cyber-Physical systems, ICCPS 2015

作者： Feng, Lu Wiltsche, Clemens Humphrey, Laura Topcu, Ufuk Dept. of Computer and Information Science University of Pennsylvania United States Dept. of Computer Science University of Oxford United Kingdom Control Science Center of Excellence AFRL United Kingdom Dept. of Electrical and Systems Engineering University of Pennsylvania United States

ISBN: (纸本)9781450334556

We propose an approach to synthesize control protocols for autonomous systems that account for uncertainties and imperfections in interactions with human operators. As an illustrative example, we consider a scenario involving road network surveillance by an unmanned aerial vehicle (UAV) that is controlled remotely by a human operator but also has a certain degree of autonomy. Depending on the type (i.e., probabilistic and/or nondeterministic) of knowledge about the uncertainties and imperfections in the operator- Autonomy interactions, we use abstractions based on Markov- decision processes and augment these models to stochastic two-player games. Our approach enables the synthesis of operator-dependent optimal mission plans for the UAV, highlighting the effects of operator characteristics (e.g., workload. proficiency, and fatigue) 011 UAV mission performance;it can also provide informative feedback (e.g., Pareto curves showing the trade-offs between multiple mission objectives), potentially assisting the operator in decision-making.

关键词： Markov processes

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Comprehensive Modeling, Testing, and Experimental Validation of Ultracapacitor Open Circuit Voltage Characteristics

Comprehensive Modeling, Testing, and Experimental Validation...

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Annual IEEE Applied Power Electronics Conference and Exposition

作者： Amandeep Singh Najath Abdul Azeez Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineering Fac

ISBN: (纸本)9781467395519

Ultracapacitors (UCs) are the significant component of the energy storage systems (ESS) in the electric traction applications. In the field of electric transportation the UCs need to be modeled dynamically in order to capture real-time characteristics. The model should provide precise estimation of UC responses to various charge/discharge conditions and also predict the behavior of UCs under varied load conditions. In order to incorporate the model for testing purposes in various power electronics/drive simulation toolboxes, it is very important for the model to be accurate. This paper aims at the experimental validation of an accurate parameter identification procedure for an UC model using random charging/discharging current pulses of different magnitudes. The UC model can estimate the output voltage without the extraction of the model's branch parameters. The critical parameters have been estimated dynamically from characteristic equations. The estimation technique for an equivalent RC branch model is simulated and the output voltage response, controlled between Vmm (0V) and Vrated (2.7V) of a single UC cell, has been presented. Finally, the simulation results obtained from the identification technique are validated against the actual charging results obtained from applying charging pulses to a 1200F UC.

关键词： Circuit modeling energy storage power electronics electric transportation supercapacitors

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Design and Fabrication of an Antenna Element for a Low-Cost Frequency-Scanning Linear Array

Design and Fabrication of an Antenna Element for a Low-Cost ...

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IEEE International Symposium on Antennas and Propagation

作者： Mahta Mahdiroodi Mahmoud Shahabadi Center of Excellence on Applied Electromagnetics Systems School of Electrical and Computer Engineering College of Engineering University of Tehran 14395-515 Tehran Iran

A technique for low-cost beam steering through direct injection of the local oscillator (LO) signal to a linear array is proposed. Design and fabrication of a single element required for realization of this frequency-... 详细信息

ISBN: (纸本)9781479978168

关键词： antenna element linear arrays fabrication beam steering Local oscillators

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Control of Genetic Regulatory Networks with Partially unknown Transition Probabilities

Control of Genetic Regulatory Networks with Partially unknow...

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American Control Conference

作者： S. Sathananthan S. Fall L.H. Keel Department of Mathematics and Center of Excellence in Information Systems Tennessee State University Nashville TN 37209 USA Center of Excellence in Information Systems Tennessee State University Nashville TN 37209 USA Department of Electrical & Computer Engineering and Center of Excellence in Information Systems Tennessee State University Nashville TN 37209 USA

ISBN: (纸本)9781479917730

A problem of state feedback stochastic stability and stabilization of a class of genetic regulatory networks (GRNs) with both intrinsic and extrinsic stochastic perturbations (noise) are investigated under Markovian switching. The non-linear regulatory function is assumed to satisfy a sector-like condition and the jump Markovian switching is modeled by a discrete-time Markov chain with partial information on transition probability matrix. We proposed a stability criterion by utilizing Lyapunov second method, an improvedfree weighting matrix method and the Lur'e system approach with partially unknown or completely unknown transition probability matrix. Sufficient conditions for stability and state feedback stabilization are obtained and represented by linear matrix inequalities (LMIs), which can be numerically solved by LMI tool box and CVX package in MATLAB. Two numerical example are given to demonstrate the merits of the obtained results.

关键词： Switches Stability criteria Genetics Markov processes Linear matrix inequalities Numerical stability

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