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Social and semantic network analysis of chat logs 11

Social and semantic network analysis of chat logs

引用

1st International conference on Learning Analytics and Knowledge, LAK'11

作者： Rosen, Devan Miagkikh, Victor Suthers, Daniel School of Communications Ithaca College 953 Danby Road Ithaca NY 14850 United States Information and Computer Sciences University of Hawaii 1680 East-West Road Honolulu HI 96822 United States

ISBN: (纸本)9781450310574

Multi-user virtual environments (MUVEs) allow many users to explore the environment and interact with other users as they learn new content and share their knowledge with others. The semi-synchronous communicative interaction within these learning environments is typically text-based Internet relay chat (IRC). IRC data is stored in the form of chatlogs and can generate a large volume of data, posing a difficulty for researchers looking to evaluate learning in the interaction by analyzing and interpreting the patterns of communication structure and related content. This paper describes procedures for the measurement and visualization of chat-based communicative interaction in MUVEs. Methods are offered for structural analysis via social networks, and content analysis via semantic networks. Measuring and visualizing social and semantic networks allows for a window into the structure of learning communities, and also provides for a large cache of analytics to explore individual learning outcomes and group interaction in any virtual interaction. A case study on a learning based MUVE, SRI's Tapped-In community, is used to elaborate analytic methods. © 2011 ACM.

关键词： Virtual reality

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Validation of CFD and Thermal Hydraulics Codes by Digital Particle Image Velocimetry

Validation of CFD and Thermal Hydraulics Codes by Digital Pa...

引用

2nd International conference on Asian Nuclear Prospects (ANUP)

作者： Singh, R. K. Joshi, V. M. Bhabha Atom Res Ctr Elect & Instrumentat Serv Div Bombay 400085 Maharashtra India

Experimental validation of thermal hydraulics and CFD codes of scaled down models and full models of Nuclear Reactor components is very important for reactor system designers and reactor safety experts for optimal design and providing best safety features of the reactor systems. Over the period of time several techniques have been developed for this purpose. Among them Digital Particle Image Velocimetry (DPIV), a laser based optical technique, is the recent, innovative, promising and flexible enough one so that it can be adapted to a large variety flows. By this technique test time is reduced significantly. DPIV is a non-intrusive optical measurement technique, which allows capturing several thousand velocity vectors within large flow fields instantaneously. DPIV technique is being used in very wide and different applications, from micro flows over combustion to supersonic flows for both industrial needs and research. 2-D DPIV facility having non-intrusive, instantaneous flow visualization with high spatial and temporal resolution features has been developed. It is used for measurement of flow velocity vectors at many (e. g. thousands) points in a flow field simultaneously and it provides instantaneous vector fields and displays velocity vectors in rea l-time. DPIV combines flow visualization with accurate quantitative velocity data. 2-D Velocity vectors are obtained by analysis of displacement of tracer particles on images in a known time. The development of visualization tools are powerful enough to at tack the complexity of a resulting flow field but also flexible enough so that they can be adapted to a large variety of different flow. DPIV system has Laser light source, Laser beam delivery system, High speed camera interface, DPIV image acquisition & analysis software, CCD camera, computer controlled synchronizer, seeding particles & PC. This system will enhance our capability of thermal hydraulics, neutronics and multiphysics modelling by experimental support &

关键词： Flow visualization Digital Particle Image Velocimetry Computational Fluid Dynamics analysis of different AHWR PHWR and future reactor components

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Capsule endoscopy video Boundary Detection

Capsule endoscopy video Boundary Detection

引用

International conference on Information and Automation

作者： Li, Baopu Meng, Max Q.-H. Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781457702686

Capsule endoscopy (CE) is a recently developed new technology which enables direct visualization of the inner tract of the whole small bowel (SB) in human body. Due to such a breakthrough compared to traditional endoscopy imaging modalities, this device with its size close to a small pill has seen its wide application in hospitals since it was approved for marketing in 2001. However, it is reported that the inspection of the video data produced in each test cost a clinician about two hours on average to examine. To mitigate such a burden for physicians, it is necessary to develop automatic video analysis techniques for CE video. Since a CE video has an average length of about 60,000 frames for each test, it may be beneficial to segment such a long video into meaningful parts. In this study, we investigate the possibility of applying video boundary detection methods for this purpose. Color and textural features are utilized to represent the visual content. The CE video boundary detection is then formulated as a problem of finding local maximal value along the dissimilarity curve for a CE video. Since a CE undergoes a chaotic motion originated from peristalsis of the digestive tract, motion analysis is further taken into account to refine the results produced in the above steps. Preliminary experimental results suggest the possible usage of the proposed scheme for CE video segmentation. © 2011 IEEE.

关键词： Motion analysis

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Advanced Materials and Information Technology Processing, AMITP 2011

Advanced Materials and Information Technology Processing, AM...

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2011 International conference on Advanced Materials and Information Technology Processing, AMITP 2011

ISBN: (纸本)9783037851579

The proceedings contain 387 papers. The topics discussed include: regression modeling of surface roughness in grinding;image template matching algorithm for removing useless feature points;inertial sensor fault diagnosis based on an improved gain principal component analysis algorithm;design of PDM multi-version management model based on polychromatic sets theory;wavelet image denoising by data fusion;effect of magnetite nanoparticles doped glass with enhanced Verdet constant for magnetic optical current transducer applications;theoretical band gap analysis of 2-D triangular photonic crystals fabricated via multi-step interference lithography;research on CO2 laser micromachining PMMA microchannel;testing and analysis of high-speed camera for droplet transition;improving usability of camera preview with aesthetical rule in digital design environment;and research on the agricultural information visualization base on ontology.

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Origin Distribution visualization of Floating Population and Determinants analysis: a Case study of Yiwu City

Origin Distribution Visualization of Floating Population and...

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1st International conference on Spatial Statistics - Mapping Global Change

作者： Li, Hongsheng Wang, Yingjie Han, Jiafu Yu, Zhuoyuan Chinese Acad Sci LREIS Inst Geog Sci & Nat Resources Res Beijing 100864 Peoples R China

Based on registered individual floating population data from 2005 to 2008 of Yiwu, the phenomena that population floating to Yiwu City from 34 province and 91 counties in Jiangxi provinces is analyzed. The study aims at analyzing the "pull" forces of Yiwu City and developing migration models for understanding determinants factors of population migration/floating into Yiwu City from other areas in China. The spatial layout of Yiwu's pull forces is proved as a V-shaped pattern consisting of the two axes by using explorative spatial data analysis and map visualization method. The migration models with (model 3) or without (model 2) migration stock are presented and estimated using standard linear regression model, spatial error model as well as spatial lag model at the county scale in Jiangxi province. Based on the likelihood statistics, the AIC and the Moran's I statistics of residuals, the model with migration stock provides an improved fit over the model without migration stock. The correlation between migration ratio and man land ratio is significant at the 0.5 level according to estimates of model 3 and spatial version of model 2. All the three estimates of model 2 and the OLS results of model 3 confirm the distance-decay effect while results from the spatial version of model 3 failed to support the distance rule in population floating. Contrary to the previous studies at the provincial level, the correlation between per capital net income of rural labor forces and migration ratio is not significant according to the three versions of the two models due to the small disparities of income within the counties in Jiangxi. Examination of specification tests in spatial version of model 3 indicates that there is less significant spatial error dependence in the spatial lag models than spatial lag dependence in the error models, further suggesting a preference for the lag model. Model 2 does not suggest any preference for choosing spatial error model and spatial lag model.

关键词： Floating population Origin distribution visualization Spatial regression model Yiwu City GIS

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Soft material design using principal component analysis

Soft material design using principal component analysis

引用

2011 AIChE Annual Meeting, 11AIChE

作者： Wu, Tao Wang, Sheldon Cohen, Barry Computer Science Department New Jersey Institute of Technology Newark NJ United States McCoy School of Engineering Midwestern State University Wichita Falls TX United States

ISBN: (纸本)9780816910700

This paper presents a new computational framework for calculating the normal modes and interactions of proteins, macromolecular assemblies and surrounding solvents. The framework employs a combination of molecular dynamics simulation (MD) and principal component analysis (PCA). It enables the capture and visualization of the molecules' normal modes and interactions over time scales that are computationally challenging, providing a starting point for experimental and further computational studies of protein conformational changes. PCA reduces the dimensionality of MD atomic trajectory data and provides a concise way to visualize, analyze, and compare the motions observed over the course of a simulation. PCA involves diagonalization of the positional covariance matrix to identify an orthogonal set of eigenvectors or "modes'' describing the direction of maximum variation in the observed conformational distribution. Slow conformational changes can be identified by projecting these dominant modes back to original trajectory data. In this work, the new multiscale methodology was applied to a relatively small mutant T4 phage lysozyme, establishing its equilibrium atomic thermal fluctuations and its inter-residue fluctuation correlations. These results were compared with published data obtained by NMA, by finite element methods, and by experiment. The eigenmodes captured are in quantitative agreement with previously published results.

关键词： Principal component analysis

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Deepwater Horizon Oil Spill Monitoring Using Airborne Multispectral Infrared Imagery

Deepwater Horizon Oil Spill Monitoring Using Airborne Multis...

引用

conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII

作者： Shen, Sylvia S. Lewis, Paul E. Aerosp Corp 15049 Conf Ctr Dr Chantilly VA 20151 USA Natl Geospatial Intelligence Agcy Springfield VA 22150 USA

ISBN: (纸本)9780819486226

On April 28, 2010, the Environmental Protection Agency's (EPA) Airborne Spectral Photometric Environmental Collection Technology (ASPECT) aircraft was deployed to Gulfport, Mississippi to provide airborne remotely sensed air monitoring and situational awareness data and products in response to the Deepwater Horizon oil spill disaster. The ASPECT aircraft was released from service on August 9, 2010 after having flown over 85 missions that included over 325 hours of flight operation. This paper describes several advanced analysis capabilities specifically developed for the Deepwater Horizon mission to correctly locate, identify, characterize, and quantify surface oil using ASPECT's multispectral infrared data. The data products produced using these advanced analysis capabilities provided the Deepwater Horizon Incident Command with a capability that significantly increased the effectiveness of skimmer vessel oil recovery efforts directed by the U. S. Coast Guard, and were considered by the Incident Command as key situational awareness information.

关键词： Infrared radiation Sun Composites Infrared imaging Long wavelength infrared Multispectral imaging Linear filtering Sensors Situational awareness sensors visualization

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Improvement of the visual circuit of air traffic controllers to link the data among visualizations with the use of animated transitions 11

Improvement of the visual circuit of air traffic controllers...

引用

23rd conference Francophone sur l'Interaction Homme-Machine, IHM'11 - 23rd French Speaking conference on Human-Computer Interaction, IHM'11

作者： Cordeil, Maxime Hurter, Christophe Conversy, Stéphane DTI-R and D DSNA ENAC/IRIT 7 Avenue Edouard Belin 31055 Toulouse France Université de Toulouse ENAC IRIT Toulouse France

ISBN: (纸本)9781450308229

Several separate displays are used by Air Traffic Controllers, such as radar view, flight lists view or paper strips. In order to link the information between these views and keep focus on a subset of flights, controllers are required to do visual operations (eye gaze, analysis of visual properties etc.). This process can be disruptive when traffic increases and when visualizations display large amounts of objects. In this paper we propose the use of animated transitions to replace the visual paths controllers take. We discuss this technique and show results of a predictive evaluation that suggests an improvement in users'performance. Copyright © 2011 ACM.

关键词： visualization

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Using Social Network analysis to Study the Knowledge Sharing Patterns of Health Professionals Using Web 2.0 Tools

Using Social Network Analysis to Study the Knowledge Sharing...

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4th International Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2011

作者： Stewart, Samuel Alan Abidi, Syed Sibte Raza NICHE Research Group Dalhousie University 6050 University Ave. Halifax NS Canada

Peer communication is a vital component of the knowledge translation process for healthcare practitioners, and emerging web 2.0 tools are providing virtual venues to facilitate this communication. Using social network analysis methods this paper will attempt to explore the communication patterns that emerge out of the Pediatric Pain Mailing List. The analysis will assess the overall health of the communication network, identify users and subjects of interest, and it will isolate potential subgroups that exist within the community. These results will be presented to the user using the VECoN system, developed as part of this project to present the structure of communication networks graphically to the user through the use of social network analysis methods. © Springer-Verlag Berlin Heidelberg 2013.

关键词： data visualization

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Connecting R to the Sensor Web

Connecting R to the Sensor Web

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14th AGILE International conference on Geographic Information Science

作者： Nuest, Daniel Stasch, Christoph Pebesma, Edzer Univ Munster Inst Geoinformat Munster Germany

ISBN: (纸本)9783642197895

Interoperable data exchange and reproducibility are increasingly important for modern scientific research. This paper shows how three open source projects work together to realize this: (i) the R project, providing the lingua franca for statistical analysis, (ii) the Open Geospatial Consortium's Sensor Observation Service (SOS), a standardized data warehouse service for storing and retrieving sensor measurements, and (iii) sos4R, a new project that connects the former two. We show how sos4R can bridge the gap between two communities in science: spatial statistical analysis and visualization on one side and the Sensor Web community on the other. sos4R enables R users to integrate (near real-time) sensor observations directly into R. Finally, we evaluate the functionality of sos4R. The software encapsulates the service's complexity with typical R function calls in a common analysis workflow, but still gives users full flexibility to handle interoperability issues. We conclude that it is able to close the gap between R and the sensor web.

关键词： Electronic data interchange

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