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A compact multichannel system for acquisition and processing of neural signals

A compact multichannel system for acquisition and processing...

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29th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Borghi, T. Bonfanti, A. Zambra, G. Gusmeroli, R. Spinelli, A. S. Baranauskas, G. Politecn Milan Dip Elettron & Informaz IUNET I-20133 Milan Italy

ISBN: (纸本)9781424407873

An increasing popularity of multichannel recordings from freely behaving animals and the need to develop a practical brain-machine interface has fuelled the development of miniature multichannel recording systems. Here we describe our prototype miniature 64-channel acquisition system that could be used for multichannel recordings in freely behaving monkeys or other large animals. The system's features include an high impedance input for neurophysiology electrodes, an integrated battery fed circuitry with a 64 low-noise multiplexed amplifiers array that permits the parallel recording of all channels, a 10-bit resolution ADC, an FPGA digital core for online processing and data transmission, a USB 2.0 link and a custom software for data visualization and whole system control.

关键词： Signal analysis

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Multimedia-learning in a life science workflow environment

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8th Pacific Rim conference on Multimedia

作者： Ullrich, Carsten Shen, Ruimin Chen, Su-Shing Shanghai Jiao Tong Univ Shanghai Peoples R China

ISBN: (纸本)9783540772545

The Taverna workbench allows constructing highly complex analyses over life sciences data and computational resources. It provides access over 1000 of bioinformatic services, e.g., analysis algorithms for comparing genome sequences, and facilitates the construction of bioinformatic workflows. These workflows make tacit procedural bioinformatics explicit and as such lend themselves for being used in bioinformatics education. However, until now, no Taverna e-learning service exists. In this paper, we describe how Taverna can be used for learning and the services that need to be integrated in Taverna for that purpose. This includes a digital library of multimedia resources since multimedia, especially visualization, plays an important role in bioinformatics. Equally important is an intelligent educational service that automatically assembles learning activities and resources into a pedagogically coherent whole.

关键词： data flow analysis

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Visualizing collaborative time-varying scientific datasets 3

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3rd Kuala Lumpur International conference on Biomedical Engineering 2006 (BioMed 2006)

作者： Sharif, J. M. Omar, M. S. S. Latiff, M. S. A. Ngadi, M. A. Tech Univ Malaysia Dept Comp Syst & Commun Skudai 81310 Malaysia Univ Technol Malaysia Fac Sci Bioinformat Res Lab Johar Malaysia

ISBN: (纸本)9783540680161

Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal correlation among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline, global and local color scale and opacity scheme for spatio-temporal collaborative depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.

关键词： scientific data visualization hybrid scheme coding theory color scale time-varying data spatio-temporal visualization molecular dynamics visual representation

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Automatic MT Error analysis: Hjerson Helping Addicter 8

Automatic MT Error Analysis: Hjerson Helping Addicter

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8th International conference on Language Resources and Evaluation (LREC)

作者： Berka, Jan Bojar, Ondrej Fishel, Mark Popovic, Maja Zeman, Daniel Charles Univ Prague Fac Math & Phys Inst Formal & Appl Linguist Prague Czech Republic Univ Zurich Inst Comp Linguist Zurich Switzerland German Res Ctr Artificial Intelligence DFKI Berlin Germany

ISBN: (纸本)9782951740877

We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing. The tool is the result of a merge of automatic error detection and classification of Hjerson (Popovic, 2011) and Addicter (Zeman et al., 2011) into the pipeline and web visualization of Addicter. It classifies errors into categories similar to those of Vilar et al. (2006), such as: morphological, reordering, missing words, extra words and lexical errors. The graphical user interface shows alignments in both training corpus and test data;the different classes of errors are colored. Also, the summary of errors can be displayed to provide an overall view of the MT system's weaknesses. The tool was developed in Linux, but it was tested on Windows too.

关键词： machine translation error analysis visualization

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Exploratory analysis of functional MRI analysis using HSOM and HTMP

Exploratory analysis of functional MRI analysis using HSOM a...

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conference on Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V

作者： Saalbach, Axel Lange, Oliver Meyer-Baese, Anke Florida State Univ Dept Elect & Comp Engn Tallahassee FL 32306 USA Bielefeld Univ Appl Neuroinformat Grp Bielefeld Germany

ISBN: (纸本)9780819466983

As a complement to model-based approaches for the analysis of functional magnetic resonance imaging (fMRI) data, methods of exploratory analysis offer interesting options. While unsupervised clustering techniques can be employed for the extraction of signal patterns and segmentation purposes, topographic mapping techniques such as the Self-Organizing Map (SOM) and the Topographic Mapping for Proximity data (TMP) provide additionally a structured representation of the data. In this contribution we investigate the applicability of two recently proposed variants of these algorithms which make use of concepts from lion-Euclidean geometry for the analysis of fMRI data. Compared to standard methods, both approaches provide more freedom for the representation of complex relationships in low-dimensional mappings while they offer a convenient interface for the visualization and exploration of high-dimensional data sets. Based on data from fMRI experiments, the application of these techniques is discussed and the results are quantitatively evaluated by means of ROC statistics.

关键词： pattern recognition fMRI hyperbolic self-organizing maps hyperbolic topographic mapping for proximity data

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Activity weather: Rfid-based visualization of urban dynamics in a weather-map style

Activity weather: Rfid-based visualization of urban dynamics...

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10th International conference on Computers in Urban Planning and Urban Management, CUPUM 2007

作者： Tanaka, Hiroya Kamiyama, Yusuke Tamamura, Koga Kinase, Ryo Mitsugi, Jin Hada, Hidekazu Faculty of Environmental Information Keio-University o-502 SFC Endo5322 Fujisawa Kanagawa Japan Auto-ID Lab. Japan o-502 SFC Endo5322 Fujisawa Kanagawa Japan

ISBN: (纸本)9788585205775

Radio frequency identification (RFID) technology is now widely used for tracking a great variety of objects in spatio-temporal dimensions. In the field of urban management and analysis, personal RFID is a powerful tool for tracing both individual pedestrians and crowd dynamics. In this research, we have focused our attention on how public services can use RFID technology, especially from the viewpoint of attractive and real-time visualization. In a trial demonstration, we installed nine RFID-reader gates in an urban district and provided hundreds of passive RFID-tags to pedestrians. Using this basic RFID-infrastructure, we developed a public display service which visualized and reported urban activities in the style of a real-time weather map. A large display shows the density of people at each location by using geometric contour lines and virtual clouds. Accumulated data is automatically updated and the 'weather' map quickly changes as time passes. The weather-like visualization helps the user understand the dynamics, flows, and trends of crowds, and promotes intuitive forecasting of urban activity.

关键词： visualization

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visualization and analysis of large graphs

Visualization and analysis of large graphs

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1st Ph.D. Workshop, PIKM 2007 - Co-Located with CIKM 2007

作者： Loubier, Eloïse Bahsoun, Wahiba Dousset, Bernard Institut de Recherche en Informatique de Toulouse 118 route de Narbonne 31062 Toulouse Cedex 9 France

ISBN: (纸本)9781595938329

In Knowledge engineering, synthesized information has often an evolving and relational form. Information representation using graphs may ease data interpretation for non-expert users. However this graph may be complex and simplifications are useful in order to ease analysis. In this article, we present VisuGraph, a powerful tool for graph drawing. This tool gives the possibility to reduce large graph by two techniques: the Markov CLustering algorithm (MCL) application and the global graph division in time-sliced visualizations in order to specify and to simplify temporal analysis. © 2007 ACM.

关键词： Clustering algorithms

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Regularized neighborhood component analysis

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15th Scandinavian conference on Image analysis

作者： Yang, Zhirong Laaksonen, Jorma Aalto Univ Lab Comp & informat Sci POB 5400 FI-02015 Espoo Finland

ISBN: (纸本)9783540730392

Discriminative feature extraction is one of the fundamental problems in pattern recognition and signal processing. It was recently proposed that maximizing the class prediction by neighboring samples in the transformed space is an effective objective for learning a low-dimensional linear embedding of labeled data. The associated methods, Neighborhood Component analysis (NCA) and Relevant Component analysis (RCA), have been proven to be useful preprocessing techniques for discriminative information visualization and classification. We point out here that NCA and RCA are prone to overfitting and therefore regularization is required. NCA and RCA's failure for high-dimensional data is demonstrated in this paper by experiments in facial image processing. We also propose to incorporate a Gaussian prior into the NCA objective and obtain the Regularized Neighborhood Component analysis (RNCA). The empirical results show that the generalization can be significantly enhanced by using the proposed regularization method.

关键词： Feature extraction

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Collaboration support system based on the assessment of created ideas using data envelopment analysis

Collaboration support system based on the assessment of crea...

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16th International conference on Engineering Design, ICED 2007

作者： Kobayashi, Masakazu Higashi, Masatake Yoshimura, Masataka Toyota Technological Institute Department of Information-Aided Technology 2-12-1 Hisakata Tempaku-ku Nagoya City 468-8511 Japan Kyoto University Japan

ISBN: (纸本)1904670024

This paper focuses on the creative aspects of collaboration and proposes a support system consisting of a method for analyzing ideas created by designers during collaborative design projects and a method for visualizing interactive communication processes among designers in order to enhance designers' creativity. The analytical method analyses created ideas using DEA (data Envelopment analysis) and reveals characteristics and overall effectiveness of each idea, relationships between ideas from the various viewpoints and potentially fruitful directions for improvement of created ideas or exploration of new ideas. By following these indications, designers can explore more sophisticated ideas efficiently and effectively. Whereas, the visualization method that was originally developed in our previous works makes interactive communication processes among designers visible from the two viewpoints: the flow of its process and the relationships between design goals and created ideas. Using this method, designers can engage in more active discussions, share idea exploration spaces and explore a wider range of ideas. In addition, we also develop a computerized support system to enable smooth operation of above two methods and conduct the case study using the computerized support system in order to confirm the effectiveness of the proposed support system.

关键词： data envelopment analysis

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visualization and management of digital forensics data

Visualization and management of digital forensics data

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2006 Information Security Curriculum Development conference, InfoSecCD '06

作者： Francia, Guillermo Trifas, Monica Brown, Dorothy Francia, Rahjima Scott, Chrissy Jacksonville State University 700 Pelham Road North Jacksonville AL 36265

ISBN: (纸本)1595934375

The collection, analysis, and preservation of digital forensic data are complementary activities that are ushered by our growing dependence on Information Technology. The training of professionals, who can effectively carry out these activities, suddenly becomes a paramount issue and a major motivation for the IT academic community. This paper presents an on-going study on a pedagogical approach of melding and applying various knowledge areas in computer science towards the establishment and stimulation of undergraduate research in computer security and forensics. Copyright 2006 ACM.

关键词： Security of data

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