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Enhancing Bluejay with scalability, genome comparison and microarray visualization

Enhancing Bluejay with scalability, genome comparison and mi...

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30th Annual conference of the German-Classification-Society

作者： Dong, Anguo Turinsky, Andrei L. Ah-Seng, Andrew C. Taschuk, Morgan Gordon, Paul M. K. Hochauer, Katharina Frols, Sabrina Soh, Jung Sensen, Christoph W. Univ Calgary Sun Ctr Excellence Visual Genom 3330 Hosp Dr NW Calgary AB T2N 4N1 Canada Univ Bergen Dept Biol N-5020 Bergen Norway

ISBN: (纸本)9783540709800

The Bluejay genome browser (Browser for Linear Units in Java (TM)) is a flexible visualization environment for biological sequences, which is capable of producing high-quality graphical outputs (http://***). We have recently added functionalities to Bluejay to realize the true potential of 2D bioinformatics visualization. We describe the three major new functionalities that will be of added value to the user: (i) exploration of large genomes using level-of-detail management, (ii) comparative visualization of multiple genomes (iii) visualization of microarray data in a genomic context.

关键词： visualization

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analysis and visualization of time series data from consumer-generated media and news archives

Analysis and visualization of time series data from consumer...

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IEEE/WIC/ACM International conference on Intelligent Agent Technology and Web Intelligence

作者： Fu, Tak-Chung Sze, Donahue C. M. Leung, Patrick K. C. Hung, Kei-Yuen Chung, Fu-lai Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Well Synergy Ltd Kowloon Peoples R China

ISBN: (纸本)9780769530284

Internet has become an indispensable part of everyday life with millions of people around the globe using it for a wide range of daily activities such as monitoring stock prices, posting blogs, and browsing online newspapers. Though a vast amount of information can be easily searched and obtained in seconds simply by pressing a click with a fingertip, the overflow of information popping up may not be something really relevant to what we need and therefore, it creates a headache to us when it comes to scanning and extracting relevant and useful information. Finding a wise way of extracting only the useful data for further analysis plays a significant role in promoting the efficient and effective use of the internet. In this paper, we present a system which performs the analysis and visualization of the emerging consumer generated media (CGM) posts and online news archives in a more user-friendly way. In order to overcome the heavy time complexity incurred, we would employ an approach to extract only the useful data from the CGM by means of the Time Series data Processing technique, namely, the Perceptual Important Point (PIP). By correlating the sorted out time series data with the online texts, further analysis could be done in a more effective and efficient way. With valuable and easy-to-understand information generated by using the Perceptual Important Point (PIP), many businesses could gain the upper hand in today's competitive world market.

关键词： visualization

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Temporal patterns analysis in EEG data using sonification

Temporal patterns analysis in EEG data using sonification

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International conference on Information and Emerging Technologies

作者： Halim, Zahid Baig, Rauf Bashir, Shariq Natl Univ Comp & Emerging Sci FAST NU Dept Comp Sci Islamabad Pakistan

ISBN: (纸本)9781424412464

Brain Computer Interfacing is a direct communication pathway between human and computer. The area is innovative and under active research as a subset of Human Computer Interaction. Brain Computer Interfacing typically utilize Electroencephalogram (EEG) data to apply machine learning and or computational intelligence techniques to trigger actions. Electroencephalogram data is a multivariate time series data whose visualization suffers from problems like cluster overlapping and high dimensionality. In this paper we present a natural alternative to visualization i.e. sonification. Thus combining the two novel area of research to explore and get better results over the conventional approaches. Sonification is the use of non-speech audio to convey information. We have presented a technique to sonify alpha, beta and gamma bands present in the Electroncephalogram data. Experiments have been performed on EEG data of a controlled subject and the results have been discussed at the end.

关键词： sonification Brain Computer Interfacing Machine Learning Human Computer Interfacing Electroencephalogram

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Visual clustering and boundary detection of time-dependent datasets

Visual clustering and boundary detection of time-dependent d...

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2007 International conference on Cyberworlds, CW'07

作者： Sourina, Olga Liu, Dongquan Nosovskiy, Gleb V. Nanyang Technological University Singapore Singapore

ISBN: (纸本)0769530052

Visual clustering should be one of the basic tools for time-dependent data analysis in cyberworlds. This paper describes a novel approach to spatial clustering and boundary detection based on geometric modeling and visualization. datasets and boundaries of clusters are visualized as 3D points and surfaces of reconstructed solids changing over time. Our approach applies the concepts of geometric solid modeling and uses density as clustering criteria that comes from traditional density-based clustering techniques. Visual clustering allows the user to analyze results of clustering the data changing over time and to interactively choose appropriate parameters. © 2007 IEEE.

关键词： visualization

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Incorporating human experiences into the design process of a visualization tool: A case study from bioinformatics

Incorporating human experiences into the design process of a...

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IEEE International conference on Systems, Man and Cybernetics

作者： Javahery, H. Deichman, A. Seffah, A. Radhakrishnan, T. Concordia Univ Comp Sci & Software Engn Dept Montreal PQ Canada

ISBN: (纸本)9781424409907

visualization tools are helpful in the analysis of large and complex information such as genomics data and biological phenomena. However, there exists a conceptual gap between how the tools actually work and the user experiences, tasks and behaviors. To design more human-centered tools that fully support the biologist's experiences, we have defined a framework, called UX-P (User Experiences to Patterns). The framework leverages the complicity of personas, a technique to capture user experiences, and design patterns - allowing us to narrow the gap between user experiences and the tool's design and features. First, HCI experts need to capture the user's needs, interaction behavior and task flow. This information can then be used to derive design patterns which are composed to create a conceptual design. To test and further improve this framework, we carried out an empirical study with users of a Bioinformatics visualization tool called Protein Explorer. Results of our empirical study will be presented.

关键词： Bioinformatics

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V-22 data visualization Toolset (VDVT) implementation

V-22 Data Visualization Toolset (VDVT) implementation

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2007 IEEE Aerospace conference

作者： Dousis, Dimitri A. Strohmeyer, Mark Lasiter, Michael Stonebraker, Marc Bell Helicopter Textron Inc POB 482 Ft Worth TX 76101 USA V 22 Fleet Support Team Cherry Point NC USA SPAWAR SAIC San Diego CA USA V 22 CAMEO IPT Lead San Diego CA USA

ISBN: (纸本)9781424405244

The V-22 Tiltrotor Vibration, Structural Life, and Engine Diagnostics (VSLED) unit and the Aircraft Maintenance Event Ground Station (AMEGS) are tools the maintainer uses during everyday operation. These tools support the V-22 maintenance objectives through the detection of existing or developing faults of predefined mechanical assemblies and components. All V-22 aircraft are equipped with VSLED units. The corresponding ground station supports individual aircraft or multiple aircraft attached to a squadron. This paper describes the latest activities on system configuration and functionality associated with mechanical systems monitoring (rotors, engines, interconnect shafting system and nacelle blower). The system fault detection and notification to the maintainer is primarily automated. data review and analysis tools are available to the Fleet Support Team (FST) engineers and senior quality assurance (QA) maintainers to allow review and confirmation of the diagnostic indications. The paper focuses on the ongoing activities to enhance the present mechanical system diagnostic capabilities through integration of the ground station, Integrated Electronic Technical Manual (IETM), and V-22 data visualization Toolset (VDVT). VSLED data has been used throughout the aircraft development and NAVAIR has recently approved VDVT for integration with the Collaborative Automated Maintenance Environment for Osprey (CAMEO). VDVT includes the capability to review data acquired during the flight. Flight parameters, vibration data (for example, discrete frequency data collection and spectral data), all types of on-board events such as engine events (surges, other operational events), rotor track and balance data, and structures and related events (landing events, flight regime identification, etc.) are recorded. Additional enhancements and anticipated further improvements of the on-board system and the ground station are addressed. Plans and activities for diagnostic improvements under

关键词： data visualization

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Information Organization and visualization for the ALS Project

Information Organization and Visualization for the ALS Proje...

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4th International conference on Complex, Intelligent and Software Intensive Systems (CICIS)

作者： Russo, Giuseppe Gentile, Antonio Pirrone, Roberto Mollame, Angelo Univ Palermo Dipartimento Ingn Informat DINFO Viale Sci I-90128 Palermo PA Italy

ISBN: (纸本)9780769539676

This work presents the adopted methodology and the realized tools for data visualization in the Linguistic Atlas Of Sicily (ALS) Project. The ALS Project has the purpose to discovery new trends and variables to track the linguistic evolution over time and space in Sicily. The project is focused on how linguistic variables are related to social and economic aspects of the evolution of population and vice-versa. The visualization tools are a relevant aspect of the project to support decisions and disseminate results. One of the major factors is the geographic dependence of data evolution. To this aim complex set of tools has been developed: some tools are stand-alone while others are collaborative and web-based. This work presents the interconnection between these tools. We explore the principal phases of the "GIScience" process with the purpose to obtain valid and useful results for the researchers involved in the project.

关键词： Information visualization GIScience data Aggregation

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Visual mining of multi-modal social networks at different abstraction levels

Visual mining of multi-modal social networks at different ab...

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11th International conference Information visualization, IV 2007

作者： Singh, Lisa Beard, Mitchell Getoor, Lise Brian Blake, M. Georgetown University Washington DC University of Maryland College Park

Social networks continue to become more and more feature rich. Using local and global structural properties and descriptive attributes are necessary for more sophisticated social network analysis and support for visual mining tasks. While a number of visualization tools for social network applications have been developed most of them are limited to uni-modal graph representations. Some of the tools support a wide range of visualization options, including interactive views. Others have better support for calculating structural graph properties such as the density of the graph or deploying traditional statistical social network analysis. We present Invenio, a new tool for visual mining of socials. Invento integrates a wide range of interactive visualization options from Prefuse, with graph mining algorithm support from JUNG. While the integration expands the breadth of functionality within the core engine of the tool, our goal is to interactively explore multi-modal, multi-relational social networks. Invenio also supports construction of views using both database operations and basic graph mining operations. © 2007 IEEE.

关键词： data visualization

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Prettycloud Visualizing Weighted and Grouped Genomic Context with Mathematical Curves 2

Prettycloud Visualizing Weighted and Grouped Genomic Context...

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2nd IEEE International conference on Cloud Computing and Big data analysis (ICCCBDA)

作者： Miao, Peng Sablok, Gaurav Zhang, Qinglei Tao, Mingxin Zhu, BeiBei Feng, Gang Sun, Xiaoyong Shandong Agr Univ Coll Informat Sci & Engn Agr Big Data Res Ctr Tai An Shandong Peoples R China Univ Technol Sydney Plant Funct Biol & Climate Change Cluster C3 POB 123 Broadway NSW 2007 Australia Northwestern Univ Prevent Med Hlth & Biomed Informat Chicago IL 60611 USA

ISBN: (纸本)9781509044993

Biological networks and visualization of the frequent terms in networks offers a key scenario to visualize and link the biological terms, which are representative of the physiological experiment. Plethora of the publications recently using the RNA-Seq has widely elucidated the organismal biology. However, the embedded annotations are dispersed across representative publications and present end-user a cumbersome task of visually looking at annotations files for the over-represented categories. In the present paper, we present an R package for the visualization of the most frequent annotation terms using math curve functions. The developed pack-age allows for the visualization of the abundant terms in clustered way using weighted indices and present the visualization of the abundance of the terms in relation to word size, font and coloring as per the frequency of the observed word. prettycloud is implementegd in R, and is supported on Windows, Linux and MAC OSX, and freely available at https://***/projects/prettycloud/or http://***/research/software/*** (Figure 1).

关键词： component R package embedded annotations visualization

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VisPartDEM: Grid visualization Tool for Particle Systems

VisPartDEM: Grid Visualization Tool for Particle Systems

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2nd International conference on Parallel, Distributed, Grid and Cloud Computing for Engineering

作者： Kaceniauskas, A. Pacevic, R. Markauskas, D. Kacianauskas, R. Vilnius Gediminas Tech Univ Lab Parallel Comp Vilnius Lithuania Vilnius Gediminas Tech Univ Lab Numer Modelling Vilnius Lithuania

ISBN: (纸本)9781905088423

VisPartDEM is a novel grid visualization tool for large particle systems simulated by the discrete element method. Architecture of VisPartDEM is designed for grid infrastructure build by gLite middleware. XML interface for remote data is developed to provide grid users with the interactive dataset selection by using GUI. Parallel visualization engine of VisPartDEM runs on working nodes of a computing element while the compressed video stream is efficiently transferred through the network and displayed on the client by Remote Viewer, which offers high interactivity level. Performance analysis of VisPartDEM is made on BalticGrid testbed based on multi-core architecture.

关键词： interactive grid visualization gLite middleware distributed visualization poly-dispersed particle systems the discrete element method VTK

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