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10th International Symposium on Neural Networks, ISNN 2013

作者： Li, Ronghui Li, Tieshan Zheng, Qingling Gao, Xiaori Navigation College of Dalian Maritime University No.1 Linghai Road 116026 Dalian China Center of Advanced Control Technologies Department of Electrical Computer Engineering Cleveland State University Cleveland OH United States

ISBN: (纸本)9783642390678

To solve the path following problem of underactuated surface ships with internal dynamic uncertainties and external disturbances, an Active-Disturbance-Rejection control (ADRC) controller is introduced to steer the ship to follow the desired path. Drift angle compensation is added to the controller by designing a coordinate transformation equation. The cross track static error caused by wind and current is overcome. Simulations were carried out on a fully nonlinear hydrodynamic model of a training ship to validate the stability and excellent robustness of the proposed controller. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： controllers

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A New Evolutionary-Incremental Framework for Feature Selection

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Advances in Artificial Intelligence 2014年第1期2014卷

作者： Mohamad-Hoseyn Sigari Muhammad-Reza Pourshahabi Hamid-Reza Pourreza Machine Vision Research Lab. Computer Engineering Department Ferdowsi University of Mashhad Mashhad 91779 Iranum.ac.ir Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran 14399 Iranut.ac.ir

Feature selection is an NP-hard problem from the viewpoint of algorithm design and it is one of the main open problems in pattern recognition. In this paper, we propose a new evolutionary-incremental framework for feature selection. The proposed framework can be applied on an ordinary evolutionary algorithm (EA) such as genetic algorithm (GA) or invasive weed optimization (IWO). This framework proposes some generic modifications on ordinary EAs to be compatible with the variable length of solutions. In this framework, the solutions related to the primary generations have short length. Then, the length of solutions may be increased through generations gradually. In addition, our evolutionary-incremental framework deploys two new operators called addition and deletion operators which change the length of solutions randomly. For evaluation of the proposed framework, we use that for feature selection in the application of face recognition. In this regard, we applied our feature selection method on a robust face recognition algorithm which is based on the extraction of Gabor coefficients. Experimental results show that our proposed evolutionary-incremental framework can select a few number of features from existing thousands features efficiently. Comparison result of the proposed methods with the previous methods shows that our framework is comprehensive, robust, and well-defined to apply on many EAs for feature selection.

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Tracking attention based on EEG spectrum

Tracking attention based on EEG spectrum

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15th International Conference on Human-computer Interaction, HCI International 2013

作者： Wang, Yu-Kai Jung, Tzyy-Ping Chen, Shi-An Huang, Chin-Sheng Lin, Chin-Teng Brain Research Center National Chioa Tung University Hsinchu Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan Department of Electrical Engineering National Chiao Tung University Hsinchu Taiwan Swartz Center for Computational Neruoscience Institute for Neural Computation University of Callifornia San Diego San Diego CA United States

ISBN: (纸本)9783642394720

Distraction while driving is a serious problem that can have many catastrophic consequences. Developing a countermeasure to detect the drivers' distraction is imperative. This study measured Electroencephalography (EEG) signals from six healthy participants while they were asked to pay their full attention to a lane-keeping driving task or a math problem-solving task. The time courses of six distinct brain networks (Frontal, Central, Parietal, Occipital, Left Motor, and Right Motor) separated by Independent Component Analysis were used to build the distraction-detection model. EEG data were segmented into 400-ms epochs. Across subjects, 80% of the EEG epochs were used to train various classifiers that were tested against the remaining 20% of the data. The classification performance based on support vector machines (SVM) with a radial basis function (RBF) kernel achieved accuracy of 84.7±2.7% or 85.8±1.3% for detecting subjects' focuses of attention to the math-solving or lane-deviation task, respectively. The high attention-detection accuracy demonstrated the feasibility of accurately detecting drivers' attention based on the brain activities. This demonstration may lead to a practical real-time distraction-detection system for improving road safety. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Electroencephalography

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Randomized sampling for large zero-sum games

Randomized sampling for large zero-sum games

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作者： Bopardikar, Shaunak D. Borri, Alessandro Hespanha, João P. Prandini, Maria Di Benedetto, Maria D. United Technologies Research Center Inc. Berkeley CA United States Rome Italy Center for Control Dynamical Systems and Computation University of California Santa Barbara CA 93106 United States Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Italy Department of Electrical and Information Engineering University of l'Aquila Italy

This paper addresses the solution of large zero-sum matrix games using randomized methods. We formalize a procedure, termed as the sampled security policy (SSP) algorithm, by which a player can compute policies that, with a high confidence, are security policies against an adversary using randomized methods to explore the possible outcomes of the game. The SSP algorithm essentially consists of solving a stochastically sampled subgame that is much smaller than the original game. We also propose a randomized algorithm, termed as the sampled security value (SSV) algorithm, which computes a high-confidence security-level (i.e., worst-case outcome) for a given policy, which may or may not have been obtained using the SSP algorithm. For both the SSP and the SSV algorithms we provide results to determine how many samples are needed to guarantee a desired level of confidence. We start by providing results when the two players sample policies with the same distribution and subsequently extend these results to the case of mismatched distributions. We demonstrate the usefulness of these results in a hide-and-seek game that exhibits exponential complexity. © 2013 Elsevier Ltd. All rights reserved.

关键词： Game theory

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Continuous-variable quantum key distribution with entanglement in the middle

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Physical Review A 2013年第2期87卷 022308-022308页

作者： Christian Weedbrook []Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto Ontario Canada M5S 3G4

We analyze the performance of continuous-variable quantum key distribution protocols where the entangled source originates not from one of the trusted parties, Alice or Bob, but from the malicious eavesdropper in the middle. This is in contrast to the typical simulations where Alice creates the entangled source and sends it over an insecure quantum channel to Bob. By using previous techniques and identifying certain error-correction-protocol equivalences, we show that Alice and Bob do not need to trust their source and can still generate a positive key rate. Such a situation can occur in a quantum network where the untrusted source originated in between the two users.

关键词： QUANTUM entanglement VARIABLES (Mathematics) computer simulation PHYSICS THERMODYNAMICS

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Incommensurate order fractional optimal control: Application to treatment of psychiatric disorders

Incommensurate order fractional optimal control: Application...

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Iranian Conference on electrical engineering (ICEE)

作者： S. S. Tabatabaei M. J. Yazdanpanah M. S. Tavazoei Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Advanced Control Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467356329

The main point of this paper is to present a time domain strategy for drug dosage to treat psychiatric disorders. A time domain model of emotion is obtained from an extension of a recently developed fractional nonlinear dynamic model of happiness. First, the Fractional Optimal control law for incommensurate multi state systems is obtained. It will be then applied as an optimal drug administration procedure in the line of psychiatric disorders treatment. Results of this paper show that optimal control scheme is a proper approach to face the difficulties of analysis and control the incommensurate systems. It can be also clearly seen from the simulation results that this approach is very effective in the case that control methods are used as treatment techniques.

关键词： Mathematical model Drugs Optimal control Numerical models Differential equations Equations

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Optimal control of Partially Observable Discrete Time Stochastic Hybrid Systems for Safety Specifications

Optimal Control of Partially Observable Discrete Time Stocha...

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American control Conference

作者： Jerry Ding Alessandro Abate Claire Tomlin Department of Electrical Engineering and Computer Sciences University of California at Berkeley Delft Center for Systems and Control Delft University of Technology

ISBN: (纸本)9781479901777

This paper describes a theoretical framework for the design of controllers to satisfy probabilistic safety specifications for partially observable discrete time stochastic hybrid systems. We formulate the problem as a partial information stochastic optimal control problem, in which the objective is to maximize the probability that the state trajectory remains within a given safe set in the hybrid state space, using observations of the history of inputs and outputs. It is shown that this optimal control problem, which has a multiplicative payoff structure, is equivalent to a terminal payoff problem when the state space is augmented with a binary random variable capturing the safety of past state evolution. This allows us to derive a sufficient statistic for the probabilistic safety problem as a set of Bayesian filtering equations updating a conditional distribution on the augmented state space, as well as an abstract dynamic programming algorithm for computing the maximal probability of safety and an optimal control policy.

关键词： state space hybrid systems safety specification Optimal control Safety Problem discrete-time state trajectory control strategy

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Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015

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Implementation science : IS 2016年第2期11 Suppl 2卷 100页

作者： Chambers, David Simpson, Lisa Hill-Briggs, Felicia Neta, Gila Vinson, Cynthia Beidas, Rinad Marcus, Steven Aarons, Gregory Hoagwood, Kimberly Schoenwald, Sonja Evans, Arthur Hurford, Matthew Rubin, Ronnie Hadley, Trevor Barg, Frances Walsh, Lucia Adams, Danielle Mandell, David Martin, Lindsey Mignogna, Joseph Mott, Juliette Hundt, Natalie Kauth, Michael Kunik, Mark Naik, Aanand Cully, Jeffrey McGuire, Alan White, Dominique Bartholomew, Tom McGrew, John Luther, Lauren Rollins, Angie Salyers, Michelle Cooper, Brittany Funaiole, Angie Richards, Julie Lee, Amy Lapham, Gwen Caldeiro, Ryan Lozano, Paula Gildred, Tory Achtmeyer, Carol Ludman, Evette Addis, Megan Marx, Larry Bradley, Katharine VanDeinse, Tonya Wilson, Amy Blank Stacey, Burgin Powell, Byron Bunger, Alicia Cuddeback, Gary Barnett, Miya Stadnick, Nicole Brookman-Frazee, Lauren Lau, Anna Dorsey, Shannon Pullmann, Michael Mitchell, Shannon Schwartz, Robert Kirk, Arethusa Dusek, Kristi Oros, Marla Hosler, Colleen Gryczynski, Jan Barbosa, Carolina Dunlap, Laura Lounsbury, David O’Grady, Kevin Brown, Barry Damschroder, Laura Waltz, Thomas Ritchie, Mona Atkins, David Imel, Zac E. Xiao, Bo Can, Doğan Georgiou, Panayiotis Narayanan, Shrikanth Berkel, Cady Gallo, Carlos Sandler, Irwin Brown, C. Hendricks Wolchik, Sharlene Mauricio, Anne Marie Mehrotra, Sanjay Chandurkar, Dharmendra Bora, Siddhartha Das, Arup Tripathi, Anand Saggurti, Niranjan Raj, Anita Hughes, Eric Jacobs, Brian Kirkendall, Eric Loeb, Danielle Trinkley, Katy Yang, Michael Sprowell, Andrew Nease, Donald Lyon, Aaron Lewis, Cara Boyd, Meredith Melvin, Abigail Nicodimos, Semret Liu, Freda Jungbluth, Nathanial Flynn, Allen Landis-Lewis, Zach Sales, Anne Baloh, Jure Ward, Marcia Zhu, Xi Bennett, Ian Unutzer, Jurgen Mao, Johnny Proctor, Enola Vredevoogd, Mindy Chan, Ya-Fen Williams, Nathaniel Green, Phillip Bernstein, Steven Rosner, June-Marie DeWitt, Michelle Tetrault, Jeanette Dziura, James Hsiao, Allen Sussman, Scott O’Connor, Patrick Toll, Benjamin Jones, Michael Gassaway, Julie Tobin, Jonathan Zatzic Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Rockville USA AcademyHealth Washington USA Department of Medicine and Welch Center for Prevention Epidemiology and Clinical Research Johns Hopkins Medical Institutions Baltimore USA Psychiatry University of Pennsylvania Philadelphia USA Family Medicine and Community Health University of Pennsylvania Philadelphia USA School of Social Policy and Practice University of Pennsylvania Philadelphia USA Psychiatry UC San Diego La Jolla USA Child & Adolescent Psychiatry The Child Study Center at NYU Langone Medical Center New York NY New York USA Psychiatry and Behavioral Sciences MUSC Charleston USA DBHIDS City of Philadelphia Philadelphia USA CBH City of Philadelphia Philadelphia USA Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia USA Health Services Research & Development Department of Veterans Affairs & Baylor College of Medicine Houston USA Treatment Core Department of Veterans Affairs Waco USA National Center for PTSD Executive Division Department of Veterans Affairs White River Junction USA HSR&D HSR&D Center for Health Information and Communication Roudebush VA Medical Center Indianapolis USA Psychology Indiana University Purdue University Indianapolis Indianapolis USA Department of Psychiatric Rehabilitation and Counseling Rutgers University Newark USA Health Services Research & Development Richard L. Roudebush VAMC Indianapolis USA IUPUI Department of Psychology ACT Center of Indiana Indianapolis USA Human Development Washington State University Pullman USA Prevention Science Washington State University Pullman USA Group Health Research Institute Group Health Seattle USA Behavioral Health Services Group Health Seattle USA Preventive Care Group Health Seattle USA Health Services Research & Development Primary and Specialty Medical Care Service VA Puget Sound Seattle USA School of Social Work Un

A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health David Chambers, Lisa Simpson D1 Discussion forum: Population health D&I research Felicia Hill-Briggs D2 Discussion forum: Global health D&I research Gila Neta, Cynthia Vinson D3 Discussion forum: Precision medicine and D&I research David Chambers S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach Brittany Cooper, Angie Funaiole S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau S8 Leveraging an existing

关键词： Veteran Affair Motivational Interview Qualitative Comparative Analysis Community That Care Supplemental Nutrition Assistance Program

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Investigation of the Impact of the Upstream Induction Zone on LIDAR Measurement Accuracy for Wind Turbine control Applications using Large-Eddy Simulation

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Journal of Physics: Conference Series 2014年第1期524卷

作者： Eric Simley Lucy Y Pao Pieter Gebraad Matthew Churchfield Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO USA Delft Center for Systems and Control Delft University of Technology Delft The Netherlands National Wind Technology Center National Renewable Energy Laboratory Golden CO USA

Several sources of error exist in lidar measurements for feedforward control of wind turbines including the ability to detect only radial velocities, spatial averaging, and wind evolution. This paper investigates another potential source of error: the upstream induction zone. The induction zone can directly affect lidar measurements and presents an opportunity for further decorrelation between upstream wind and the wind that interacts with the rotor. The impact of the induction zone is investigated using the combined CFD and aeroelastic code SOWFA. Lidar measurements are simulated upstream of a 5 MW turbine rotor and the true wind disturbances are found using a wind speed estimator and turbine outputs. Lidar performance in the absence of an induction zone is determined by simulating lidar measurements and the turbine response using the aeroelastic code FAST with wind inputs taken far upstream of the original turbine location in the SOWFA wind field. Results indicate that while measurement quality strongly depends on the amount of wind evolution, the induction zone has little effect. However, the optimal lidar preview distance and circular scan radius change slightly due to the presence of the induction zone.

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Multiple-access relay channels with non-causal side information at the relay

Multiple-access relay channels with non-causal side informat...

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IEEE International Symposium on Information Theory

作者： Mohammad Osmani-Bojd Assadallah Sahebalam Ghosheh Abed Hodtani Communication and Computer Research Center Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad Iran Research and Development Center of Tarrahan Control Shargh Mashhad Iran Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9781479904440

In this paper, we derive an inner bound for two-user state-dependent multiple-access relay channel (MARC) via decode and forward strategy (DF) in which the states of channel are known non-causally at the relay. The inner bound is obtained by using a combination of binning scheme and codeword splitting. Codeword splitting at the relay is applied to generating two codebooks, one for utilizing a joint codebook between the relay and the transmitters and another for utilizing the channel state information. Furthermore, we obtain an outer bound for this model. Actually, our work is a generalization of Zaidi et al. work on the relay channel with informed relay to the MARC.

关键词： Relays Encoding Markov processes Electromagnetic compatibility Transmitters Decoding

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