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Sensor Array and Multichannel Signal Processing Workshop

作者： Marcus Baum Peter Willett Uwe D. Hanebeck Department of Electrical and Computer Engineering University of Connecticut USA Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Karlsruhe Institute of Technology (KIT) Germany

This work is concerned with direction-of-arrival (DOA) estimation of narrowband signals from multiple targets using a planar antenna array. We illustrate the shortcomings of Maximum Likelihood (ML), Maximum a Posteriori (MAP), and Minimum Mean Squared Error (MMSE) estimation, issues that can be attributed to the symmetry in the likelihood function that must exist when there is no information about labeling of targets. We proffer the recently introduced concept of Minimum Mean OSPA (MMOSPA) estimation that is based on the optimal sub-pattern assignment (OSPA) metric for sets and hence inherently incorporates symmetric likelihood functions.

关键词： Direction-of-arrival estimation Arrays Maximum likelihood estimation Vectors Antenna arrays

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Decoding of Intentional Actions from Scalp Electroencephalography (EEG) in Freely-behaving Infants

Decoding of Intentional Actions from Scalp Electroencephalog...

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

作者： Zachery R. Hernandez Jesus Cruz-Garza Teresa Tse Jose L. Contreras-Vidal Non-Invasive Brain-Machine Interface Systems Laboratory at the Department of Electrical and Computer Engineering University of Houston (UH) Center for Robotics and Intelligent Systems Tecnologico de Monterrey

ISBN: (纸本)9781424479276

The mirror neuron system (MNS) in humans is thought to enable an individual's understanding of the meaning of actions performed by others and the potential imitation and learning of those actions. In humans, electroencephalographic (EEG) changes in sensorimotor a-band at central electrodes, which desynchronizes both during execution and observation of goal-directed actions (i.e., μ suppression), have been considered an analog to MNS function. However, methodological and developmental issues, as well as the nature of generalized μ suppression to imagined, observed, and performed actions, have yet to provide a mechanistic relationship between EEG μ-rhythm and MNS function, and the extent to which EEG can be used to infer intent during MNS tasks remains unknown. In this study we present a novel methodology using active EEG and inertial sensors to record brain activity and behavioral actions from freely-behaving infants during exploration, imitation, attentive rest, pointing, reaching and grasping, and interaction with an actor. We used δ-band (1-4Hz) EEG as input to a dimensionality reduction algorithm (locality-preserving Fisher's discriminant analysis, LFDA) followed by a neural classifier (Gaussian mixture models, GMMs) to decode the each MNS task performed by freely-behaving 6-24 month old infants during interaction with an adult actor. Here, we present results from a 20-month male infant to illustrate our approach and show the feasibility of EEG-based classification of freely occurring MNS behaviors displayed by an infant. These results, which provide an alternative to the μ-rhythm theory of MNS function, indicate the informative nature of EEG in relation to intentionality (goal) for MNS tasks which may support action-understanding and thus bear implications for advancing the understanding of MNS function.

关键词： Electroencephalography Scalp Acceleration Training Coherence Electrodes Testing

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Experimental Design for System Identification of Boolean Control Networks in Biology

Experimental Design for System Identification of Boolean Con...

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IEEE Annual Conference on Decision and Control

作者： Alberto Giovanni Busetto John Lygeros Intelligent and Predictive Systems Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara California USA Automatic Control Laboratory ETH Zurich Zurich Switzlerand

ISBN: (纸本)9781467360890

This study is primarily motivated by biological applications and focuses on the identification of Boolean networks from scarce and noisy data. We consider two Bayesian experimental design scenarios: selection of the observations under a budget, and input design. The goal is to maximize the mutual information between models and data, that is the ultimate statistical upper bound on the identifiability of a system from empirical data. First, we introduce a method to select which components of the state variable to measure under a budget constraint, and at which time points. Our greedy approach takes advantage of the submodularity of the mutual information, and hence requires only a polynomial number of evaluations of the objective to achieve near-optimal designs. Second, we consider the computationally harder task of designing sequences of input interventions, and propose a likelihood-free approximation method. Exact and approximate design solutions are verified with predictive models of genetic regulatory interaction networks in embryonic development.

关键词： System identification State variable Biological Science Disciplines biology Budgets Boolean algebra Mathematic Identifiability noisy data Approximation method Prediction models Embryonic Development Input design

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Human Activity Recognition using Smart Phone Embedded Sensors: A Linear Dynamical systems Method

Human Activity Recognition using Smart Phone Embedded Sensor...

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International Joint Conference on Neural Networks

作者： Wen Wang Huaping Liu Lianzhi Yu Fuchun Sun School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Beijing China

This paper presents a novel framework of human activity recognition with time series collected from inertial sensors. We model each action sequence with a collection of Linear Dynamic systems (LDSs), each LDS describing a small patch of the sequence. A codebook is formed by using the K-medoids clustering algorithm and a Bag-of-systems (BoS) is developed to represent the time series. A great advantage of this method is that the complicated feature design procedure is avoided and the LDSs can well capture the dynamics of the time series. Our experiment validation on public dataset shows the promising results.

关键词： Time series analysis Feature extraction Smart phones intelligent sensors Sensor systems Support vector machine classification

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A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries

A proof-of-concept study for predicting the region of athero...

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

作者： Antonis I. Sakellarios Paschalis Bizopoulos Kostas Stefanou Lambros S. Athanasiou Michail I. Papafaklis Christos V. Bourantas Katerina K. Naka Lampros K. Michalis Dimitrios I. Fotiadis the Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 the Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens (NTUA) GR-157 73 Zografou Athens Greece the Institute of Molecular Biology and Biotechnology Dept. of Biomedical Research FORTH GR45110 Ioannina Greece the Michaelideion Cardiac Center Dept. of Cardiology in Medical School University of Ioannina GR 45110 Ioannina Greece the Dept. of Interventional Cardiology Erasmus MC Thoraxcenter Rotterdam The Netherlands the Biomedical Research Institute - FORTH University Campus of Ioannina 45110 Ioannina Greece

ISBN: (纸本)9781424492695

In this work, we present a computational model for plaque growth utilizing magnetic resonance data of a patient's carotid artery. More specifically, we model blood flow utilizing the Navier-Stokes equations, as well as LDL and HDL transport using the convection-diffusion equation in the arterial lumen. The accumulated LDL in the arterial wall is oxidized considering the protective effect of HDL. Macrophages recruitment and foam cells formation are the final step of the proposed multi-level modeling approach of the plaque growth. The simulated results of our model are compared with the follow-up MRI findings in 12 months regarding the change to the arterial wall thickness. WSS and LDL may indicate potential regions of plaque growth (R~2=0.35), but the contribution of foam cells formation, macrophages and oxidized LDL increased the prediction significantly (R~2=0.75).

关键词： LDL HDL MRI Low-Density Lipoproteins Hardware design languages High-density lipoproteins Carotid Arteries atherosclerotic plaque convection-diffusion equation Foam Cells C7orf49 gene Magnetic Resonance Imaging oxidized low density lipoprotein Blood Flow Blood Circulation Arteriosclerosis Computational modeling

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Prediction of Atheromatic Plaque Evolution in Carotids using Features extracted from the Arterial Geometry

Prediction of Atheromatic Plaque Evolution in Carotids using...

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

作者： Paschalis A. Bizopoulos Antonis I. Sakellarios Dimitrios D. Koutsouris Jannis Kountouras Lazaros Kostretzis Stella Karagergou Lampros K. Michalis Dimitrios I. Fotiadis the Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens (NTUA) GR 15773 Zografou Athens Greece the Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 Ioannina Greece the Department of Medicine Second Medical Clinic Aristotle University of Thessaloniki Ippokration Hospital Thessaloniki Greece the First Orthopaedic Department G.Papanikolaou Hospital GR 5701 Exohi Thessaloniki Greece the Obstetricts and Gynecology Department General Hospital of Serres Ag. Ioannis GR 62100 Serres Greece the Michaelideion Cardiac Center Department of Cardiology in Medical School GR 45110 University of Ioannina Ioannina Greece

ISBN: (纸本)9781424492695

Knowing the arterial geometry might be helpful in the assessment of a plaque rupture event. We present a proof of concept study implementing a novel method which can predict the evolution in time of the atheromatic plaque in carotids using only statistical features which are extracted from the arterial geometry. Four feature selection methods were compared: Quadratic Programming Feature Selection (QPFS), Minimal Redundancy Maximal Relevance (mRMR), Mutual Information Quotient (MIQ) and Spectral Conditional Mutual Information (SPECCMI). The classifier used is the Support Vector Machines (SVM) with linear and Gaussian kernels. The maximum accuracy that was achieved in predicting the variation in the mean value of the Lumen distance from the centerline and the thickness was 71.2% and 70.7% respectively.

关键词： QPFS MIQ SPECCMI

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A MATHEMATICAL APPROACH TO DESYNCHRONIZATION OF COUPLED OSCILLATORS： APPLICATION TO A NEURONAL ENSEMBLE

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International Journal of Biomathematics 2013年第2期6卷 173-189页

作者： GHAZAL MONTASERI ARAS ADHAMI-MIRHOSSEINI MOHAMMAD JAVAD YAZDANPANAH Advanced Control Systems Laboratory School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Advanced Control Systems LaboratoryControl and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Synchronization of neurons plays an important role in vision, movement and memory. However, many neurological disorders such as epilepsies, Parkinson disease and essen- tial tremor are related to excessive synchronization of neurons. In the line of therapy, stimulations to these pathologically synchronized neurons should be capable of breaking synchrony. As the first step of designing an effective stimulation, we consider desynchro- nization problem of coupled limit-cycle oscillators ensemble. First, the desynchronization problem is redefined in a nonlinear output regulation framework. Then, we design an output regulator （stimulation） which forces limit-cycle oscillators to track exogenous sinusoidal references with different phases. The proposed stimulation is robust against variations of oscillators＇ frequencies. Mathematical analysis and simulation results reveal the efficiency of the proposed technique.

关键词： Limit-cycle oscillators nonlinear output regulation synchrony suppression robust stimulation.

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Flexible triangular formation keeping of marine robotic vehicles using range measurements 1

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IFAC Proceedings Volumes 2014年第3期47卷 5145-5150页

作者： Francisco Rego Jorge M. Soares António Pascoal A. Pedro Aguiar Colin Jones Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Porto Portugal Institute of Mechanical Engineering School of Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland National Institute of Oceanography Dona Paula Goa India

This paper addresses the problem of keeping an autonomous marine vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The follower vehicle has no prior knowledge of the path described by the leaders but has access to their heading angle and is able to measure inter-vehicle ranges. It is assumed that the distance between the leaders is constant and known. A control strategy is adopted that generates speed and heading commands so as to drive suitably defined along track and cross track errors to zero. The commands are used as input to local inner loops for yaw and speed control. The paper describes the algorithms derived for range-based control and assesses their performance in simulations using realistic models of the vehicles involved. Tests with three autonomous marine vehicles equipped with acoustic modems and ranging devices allow for the evaluation of the performance of the algorithms in a real-world situation.

关键词： Autonomous Vehicles Marine systems Control Laws Formation Control Station Keeping Triangular Formations

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A New Approach for Simultaneous Localization of UAV and RF Sources (SLUS)

A New Approach for Simultaneous Localization of UAV and RF S...

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International Conference on Unmanned Aircraft systems

作者： Seyyed M. Mehdi Dehghan Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran

ISBN: (纸本)9781479923779

In this paper, a new approach for Simultaneous Localization of UAV and RF Sources (SLUS) is proposed. In the UAV-based localization of RF sources, such as a cell phone in a search and rescue mission, the UAV navigation errors are a significant source of localization error. Although the use of GPS can reduce UAV localization error significantly resulting in more accurate RF source localization, however, if the GPS is not available temporarily or permanently, the accuracy of UAV-based localization decreases rapidly. The proposed approach solves these two connected problems, i.e. UAV localization and RF source localization, simultaneously to decrease the error of UAV position estimation and the error of RF sources localization. The prediction of UAV pose is done in parallel to RF source position prediction first. Then the predicted states are augmented and the augmented predicted state information is corrected in SLUS using the range and bearing observations. The simulation results show that this method can reduce RF source's position estimation error and prevent the divergence of UAV navigation in latitude and longitude channels. In the other words, the RF features available in the environment can be used to improve the UAV navigation.

关键词： RF source localization UA V navigation SLAM Kalman filter RSSI AOA

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Path planning for localization of an RF source by multiple UAVs on the Crammer-Rao lower bound

Path planning for localization of an RF source by multiple U...

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2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Dehghan, Seyyed M. Mehdi Tavakkoli, Mohammad Saberi Moradi, Hadi Advanced Robotics and Intelligent Systems Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467358118

This paper presents a path planning approach of several UAVs for Radio Frequency (RF) source localization in None Line Of Sight (NLOS) propagation condition using the Received Signal Strength Indication (RSSI). The paths are planned such that the lower bound of standard deviation of localization error, which is equivalent to the Cramer-Rao Lower Bound (CRLB) of the estimation, minimized at any time. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and next probable waypoints are used in the steepest decent approach to determine the best path. Furthermore, the complexity is reduced by discretizing the space for UAVs to make the computation feasible. The effect of NLOS propagation on the RSSI measurements is simulated by a log-normal distribution and the last estimation of radio source location is used to calculate the local CRLBs. The proposed approach has been simulated and compared with the basic bio-inspired approach of going toward the sensed direction of the source. The result shows better performance than the basic approach. © 2013 IEEE.

关键词： Antennas

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