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IEEE International Conference on Robotics and Automation (ICRA)

作者： Zetao Chen Adam Jacobson Uğur M. Erdem Michael E. Hasselmo Michael Milford School of Electrical Engineering Computer Science at the Queensland University of Technology Center for Memory and Brain and Graduate Program for Neuroscience at Boston University

This paper presents a novel place recognition algorithm inspired by the recent discovery of overlapping and multi-scale spatial maps in the rodent brain. We mimic this hierarchical framework by training arrays of Support Vector Machines to recognize places at multiple spatial scales. Place match hypotheses are then cross-validated across all spatial scales, a process which combines the spatial specificity of the finest spatial map with the consensus provided by broader mapping scales. Experiments on three real-world datasets including a large robotics benchmark demonstrate that mapping over multiple scales uniformly improves place recognition performance over a single scale approach without sacrificing localization accuracy. We present analysis that illustrates how matching over multiple scales leads to better place recognition performance and discuss several promising areas for future investigation.

关键词： Training Support vector machines Feature extraction Rodents Image segmentation Robot sensing systems

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A comparison of techniques and technologies for SSVEP classification

A comparison of techniques and technologies for SSVEP classi...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Richard M. G. Tello Sandra M. T. Müller Teodiano Bastos-Filho Andre Ferreira Post-Graduate Program of Electrical Engineering (PPGEE). UFES Vitoria Brazil Department of Computer and Electronics (CEUNES) Sao Mateus Brazil

This paper presents the evaluation of seven techniques of feature extraction (PSD, F-Test, EMD, MCE, CCA, LASSO and MSI) for gaze-target detections in a SSVEP-based BCI. Two type of technologies for visual stimulation were used (LCD and LEDs). Five differents windows lengths (1, 2, 4, 5 and 10 s) were used and seven volunteers participated in this study. The highest accuracy obtained in all cases was 93.57% using LEDs and the highest ITR was 36.90 bits/min for LCD. The technique based on MSI shows the highest success rate in both cases (LCD or LED) and is even more noticeable when the window size is increased.

关键词： Feature extraction Light emitting diodes Electroencephalography Correlation Electrodes Visualization Accuracy

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Evolving fuzzy classifier based on clustering algorithm and drift detection for fault diagnosis applications

Evolving fuzzy classifier based on clustering algorithm and ...

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2014 Annual Conference of the Prognostics and Health Management Society, PHM 2014

作者： Inacio, Maurilio Lemos, Andre Caminhas, Walmir Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte31270-901 Brazil Dept. of Computer Engineering Faculdade de Ciencia e Tecnologia de Montes Claros Montes Claros39400-142 Brazil Dept. of Electronic Engineering Federal University of Minas Gerais Belo Horizonte31270-901 Brazil

ISBN: (纸本)9781936263172

Nowadays, in several areas, efficient fault diagnosis methods for complex machinery and equipments are required. Several fault diagnosis methods based on different theories and approaches have been proposed in the literature. In general, these methods use mathematical/statistical models, accumulated experience, or even process historical data to perform fault diagnosis. Although methods based on models or experience have shown to be effective, they have the disadvantage of requiring previous knowledge of the dynamic system in question. On the contrary, methods based on process historical data do not require a prior knowledge, they are based solely on data obtained directly from the dynamic system. The application of so-called "Evolving Intelligent Systems" to accomplish fault diagnosis from process data have been shown a promising approach. This paper proposes an evolving fuzzy classifier based on a new approach that combines a recursive clustering algorithm and a drift detection method and its application on dynamic systems fault diagnosis. The novel approach provides greater robustness to outliers and noise present in data from process sensors. The classifier is evaluated in fault diagnosis of an interacting tank system and the results are promising.

关键词： Failure analysis

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FPGA-based hardware/software implementation for MIMO wireless communications

FPGA-based hardware/software implementation for MIMO wireles...

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International electrical engineering Congress (iEECON)

作者： Korkeart Boonyi Jukkrit Tagapanij Akkarat Boonpoonga Electrical Engineering Graduate Program Telecommunication Engineering Department Mahanakom University of Technology Bangkok Thailand Department of Electrical and Computer Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

This paper proposes an efficient architecture for FPGA implementation of MGS-QRD in MIMO wireless communication systems. The proposed architecture is based on the Hardware/Software (HW/SW) design. To achieve the efficient architecture, the systolic architecture is applied to MGS-QRD and then the conventional QR triangular array of (2m 2 +2m+1) cells onto a linear architecture of m+1 cell is employed to reduce the number of required QR processors. The reduced cells are constructed with a number of basic processing elements such as multipliers and adders etc. The basic elements are constructed by HW architectures. The SW of PowerPC core is used to control to achieve the QR decomposition. In this paper, utilization resource and operation performance in term of equivalent gates and operating cycles are shown.

关键词： Matrix decomposition MIMO Field programmable gate arrays Wireless communication Detectors Silicon Random access memory

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Design and numerical analysis of surface plasmon-enhanced fin Ge-Si light-emitting diode

Design and numerical analysis of surface plasmon-enhanced fi...

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作者： Jeong, Intae Kwon, Jooseong Kim, Changsoon Park, Young June Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Korea Republic of Department of Electrical and Computer Engineering School of Engineering Seoul National University Seoul 151-747 Korea Republic of Advanced Institutes of Convergence Technology Suwon Gyeonggi 443-270 Korea Republic of

Heavily-doped strained germanium (Ge) can emit light efficiently thanks to its pseudo direct band gap characteristic. This makes Ge a good candidate for on-chip monolithic light sources in silicon (Si) photonics systems. We propose fin-shaped Ge-Si heterojunction lightemitting diode (LED) with metal gates, which can enhance light emission by coupling with surface plasmon resonant modes and modulate light emission from the LED. We verify these two aspects through numerical analysis and device simulations. We develop the method to find the optimal device structure and specific device dimensions to maximize the spontaneous emission rate enhancement. Also we find that the LED can be modulated by a gate voltage bias. © 2014 Optical Society of America.

关键词： Surface plasmons

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Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion

Calibrationless parallel imaging reconstruction based on str...

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作者： Shin, Peter J. Larson, Peder E. Z. Ohliger, Michael A. Elad, Michael Pauly, John M. Vigneron, Daniel B. Lustig, Michael Department of Radiology and Biomedical Imaging University of California at San Francisco San FranciscoCA United States UC Berkeley-UCSF Graduate Program in Bioengineering CA United States Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA United States Department of Computer Science Technion'Israel Institute of Technology Haifa Israel Magnetic Resonance Systems Research Laboratory Department of Electrical Engineering Stanford University StanfordCA United States

Purpose: A calibrationless parallel imaging reconstruction method, termed simultaneous autocalibrating and k-space estimation (SAKE), is presented. It is a data-driven, coil-by-coil reconstruction method that does not require a separate calibration step for estimating coil sensitivity information. Methods: In SAKE, an undersampled, multichannel dataset is structured into a single data matrix. The reconstruction is then formulated as a structured low-rank matrix completion problem. An iterative solution that implements a projection-ontosets algorithm with singular value thresholding is described. Results: Reconstruction results are demonstrated for retrospectively and prospectively undersampled, multichannel Cartesian data having no calibration signals. Additionally, non-Cartesian data reconstruction is presented. Finally, improved image quality is demonstrated by combining SAKE with wavelet-based compressed sensing. Conclusion: Because estimation of coil sensitivity information is not needed, the proposed method could potentially benefit MR applications where acquiring accurate calibration data is limiting or not possible at all. © 2013 Wiley Periodicals, Inc.

关键词： Compressed sensing

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A novel approach for ensuring high end-to-end availability: The spine concept

A novel approach for ensuring high end-to-end availability: ...

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International Workshop on Design of Reliable Communication Networks (DRCN)

作者： Teresa Gomes David Tipper Abdulaziz Alashaikh Department of Electrical and Computer Engineering University of Coimbra / INESC Coimbra Coimbra Portugal Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA

Telecommunications networks need to guarantee that all node pairs involved in critical service communications are highly available. Typically only a small fraction of traffic and users needs high levels of availability but this traffic often drives the network design to over engineering. In this paper we adopt a novel approach to the problem of how to provide high levels of availability in an efficient manner. The basic idea is to embed a high availability set of links and nodes (termed the spine) in the network topology and leverage protection and routing to provide differentiated classes of resilience with varying levels of availability. In this paper we first explore the spine concept through a simple example illustrating the potential benefits of the approach. Then we study how the structural properties of a network topology can be used to determine heuristics to select a suitable spine and compare this with the case where all network components have the same availability. This is followed by a numerical based study comparing the heuristics with all possible spanning tree based spines for sample topologies. Our results are a step along the path of how to best design a physical network to support protection methods in achieving high levels of availability cost efficiently.

关键词： Availability Network topology Resilience Equations Mathematical model Routing Gold

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A study on self-configuration in the differential evolution algorithm

A study on self-configuration in the differential evolution ...

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IEEE Symposium on Differential Evolution (SDE)

作者： Rodrigo C. P. Silva Rodolfo A. Lopes Alan R. R. Freitas Frederico G. Guimaraes Department of Electrical and Computer Engineering McGill University Montreal Canada Graduate Program in Electrical Engineering Federal University of Minas Gerais (UFMG) Brazil Department of Computer Science Federal University-of Ouro Preto (UFOP) Brazil Guimarães Department of Electrical Engineering Federal University of Minas Gerais (UFMG) Brazil

ISBN: (纸本)9781479944606

The great development in the area of evolutionary algorithms in recent decades has increased the range of applications of these tools and improved its performance in different fronts. In particular, the Differential Evolution (DE) algorithm has proven to be a simple and efficient optimizer in several contexts. Despite of its success, its performance is closely related to the choice of variation operators and the parameters which control these operators. To increase the robustness of the method and the ease of use for the average user, the pursuit for methods of self-configuration has been increasing as well. There are several methods in the literature for setting parameters and operators. In order to understand the effects of these approaches on the performance of DE, this paper presents a thorough experimental analysis of the main existing paradigms. The results show that simple approaches are able to bring significant improvements to the performance of DE.

关键词： Sociology Statistics Vectors Equations Indexes Educational institutions Electronic mail

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis

Automatic stress-relieving music recommendation system based...

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

作者： Il-hyung Shin Jaepyeong Cha Gyeong Woo Cheon Choonghee Lee Seung Yup Lee Hyung-Jin Yoon Hee Chan Kim Interdisciplinary Program Biomedical Engineering Major Graduate School Seoul National University Department of Electrical and Computer Engineering Johns Hopkins University Interdisciplinary Program Bioengineering Major Graduate School Seoul National University Department of Biomedical Engineering University of Michigan Department of Biomedical Engineering College of Medicine Seoul National University

ISBN: (纸本)9781424479276

This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.

关键词： Heart rate variability Stress Recommender systems Indexes Multiple signal classification Educational institutions Music

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