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Multi-scale bio-inspired place recognition

Multi-scale bio-inspired place recognition

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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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Distributed approach for channel quality estimation using dedicated nodes in industrial WSN 25

Distributed approach for channel quality estimation using de...

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2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014

作者： Gomes, Ruan D. Rocha, Glaucio B. Filho, Abel C. Lima Fonseca, Iguatemi E. Alencar, Marcelo S. Post-Graduate Program in Electrical Engineering - PPgEE - Copele Campina Grande Paraíba Brazil Informatic Coordination Federal Institute of Paraíba Guarabira Paraíba Brazil Informatic Center Federal University of Paraiba João Pessoa Paraíba Brazil Mechanical Engineering Department Federal University of Paraiba João Pessoa Paraíba Brazil

ISBN: (纸本)9781479949120

A way to deal with the variations in the link quality of Wireless Sensor Networks (WSN) is the use of strategies for Dynamic Channel Allocation (DCA). The first step to perform DCA is estimating the channel quality, so that the network nodes can decide if a channel change is needed, and the best channel to be used. This paper proposes a distributed approach with nodes dedicated to monitor channel quality, by using the Received Signal Strength Indication (RSSI) and the Link Quality Indicator (LQI) to identify low quality channels. This approach is acceptable in industrial WSN, since the network deployment can be performed with adequate planning. Furthermore, the sensor nodes do not need to stop their operation for monitoring the channel quality. As a first step, experiments were performed in a real industrial environment to identify the relation between RSSI and LQI traces, and the Packet Error Rate for different channels, by using IEEE 802.15.4 radios operating in the 2.4 GHz band. © 2014 IEEE.

关键词： Sensor nodes

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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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Using linear discriminant function to detect eyes closing activities through alpha wave

Using linear discriminant function to detect eyes closing ac...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Denis Delisle-Rodriguez Javier F. Castillo-Garcia Teodiano Bastos-Filho Anselmo Frizera-Neto Alberto Lopez-Delis Post-Graduate Program of Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Center of Medical Biophysic University of Oriente Santiago de Cuba Cuba

This work presents an alternative method to detect events correlated to eyes opening and closing, based on electroencephalography (EEG) measured from the occipital lobe. The goal is to propose a method based on linear discriminant function to classify segments of EEG signals that contain activities originated by eyes closing. A linear discriminant function presented by Fisher is employed to detect these activities on segments of 2s. This method showed a good values of sensitivity (SE ≥ 85 %) and specificity (SP ≥ 60 %). This approach can be used to control the switching of a brain computer interface (BCI).

关键词： Electroencephalography Training Fractals Testing Sensitivity Switches Sensitivity and specificity

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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: ...

引用

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 software framework for user-level power management

A software framework for user-level power management

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Bruna M. J. C. Vilar Diógenes G. Gondim Zeus C. Barros Frederico M. Bublitz Hyggo O. Almeida Angelo Perkusich Post-Graduate Program in Electrical Engineering–PPgEE–COPELE Embedded Systems and Pervasive Computing Lab Center for Strategic Technologies in Health–NUTES State University of Paraiba–UEPB Electrical Engineering Department (DEE) Federal University of Campina Grande–UFCG

Most operating systems implement their own power management techniques, but it is hard to modify or hack their power policies without the source code. Many dynamic power management architectures have been proposed in the literature, but they are not integrated with the underlying OS power manager. In this work, we propose a software framework for user-level power management, with a flexible architecture to be adapted to different policies and integrated with OS power managers.

关键词： Power demand Middleware Operating systems Network interfaces Mathematical model Estimation

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An Ethernet sniffer for On-line acquisition of EEG with the BrainNet36® device applied to a BCI

An Ethernet sniffer for On-line acquisition of EEG with the ...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Alessandro Botti Benevides Anibal Cotrina Atencio Javier Castillo Teodiano Freire Bastos Filho Alessander Botti Benevides Electrical Engineering Post-Graduate Program Federal University of Espirito Santo Vitória Espírito Santo Brazil ICT Doctoral School University of Trento Trento Trentino Italy

This paper presents an Ethernet sniffer programmed in ANSI C to export in an on-line way the electroencephalographic (EEG) data acquired with the device BrainNet36 ® , which is a Brazilian EEG device for clinical and polysomnography purposes. The sniffer proved to be useful for off-line analysis of the EEG and also for on-line applications, as Brain computer-Interfaces (BCIs). Despite its limitations and packet losses at around 1.7% due to noise, the off-line analysis of the EEG successfully replicated results of the literature regarding the Event-Related (De)Synchronization (ERD/ERS) and Evoked Potentials (EPs) calculated for mental tasks. For on-line applications the sniffer was used to program a single-switch BCI for on-line classification of motor and no motor mental tasks with high success rate. Nowadays, the BrainNet36 ® device is being used for EEG research at many Brazilian universities, therefore, we hope that this article may encourage on-line applications. Finally, as the sniffer operation is explained here with examples, this text may serve as a reference guide for potential user's.

关键词： Electroencephalography Electrodes Educational institutions Noise Scalp Protocols MATLAB

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