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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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visualization Three-Dimensional Geological Modeling Using CUDA

Visualization Three-Dimensional Geological Modeling Using CU...

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International conference on Image and Graphics (ICIG)

作者： Meng Li Lanfang Dong Vision Computing and Visualization Laboratory School of Computer Science and Technology University of Science and Technology Hefei China

Three-dimensional geological model can describe the types of geological information, and express a variety of topological relations among geological phenomena. Kriging interpolation is an important spatial interpolation method of geological modeling, but every grid point needs to compute augmented matrix and solve equations. With the modeling scale and bore data quantity increasing rapidly, we propose to use CUDA which is multi-threaded parallelism to implement parallel Kriging interpolation algorithm. Cutting the geological model can effectively analyze their internal structure, however, the traditional serial cut algorithms are slow when grid quantity is large. We propose a novel geological model polyline cut algorithm using CUDA. The algorithm is based on grid structure, using polyline to cut stratum surfaces. And then the geological faults can be simulated based on our cut algorithm. We make high speedup and preferable visualization effects finally.

关键词： Graphics processing unit Geology Interpolation Algorithm design and analysis Mathematical model Computational modeling data models

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Entropy-based heavy tailed distribution transformation and visual analytics for monitoring massive network traffic

Entropy-based heavy tailed distribution transformation and v...

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conference on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X

作者： Han, Keesook J. Hodge, Matthew Ross, Virginia W. USAF Res Lab 525 Brooks Rd Rome NY 13441 USA Rochester Inst Technol Dept Comp Engn Rochester NY 14623 USA

ISBN: (纸本)9780819485939

For monitoring network traffic, there is an enormous cost in collecting, storing, and analyzing network traffic datasets. data mining based network traffic analysis has a growing interest in the cyber security community, but is computationally expensive for finding correlations between attributes in massive network traffic datasets. To lower the cost and reduce computational complexity, it is desirable to perform feasible statistical processing on effective reduced datasets instead of on the original full datasets. Because of the dynamic behavior of network traffic, traffic traces exhibit mixtures of heavy tailed statistical distributions or overdispersion. Heavy tailed network traffic characterization and visualization are important and essential tasks to measure network performance for the Quality of Services. However, heavy tailed distributions are limited in their ability to characterize real-time network traffic due to the difficulty of parameter estimation. The Entropy-Based Heavy Tailed Distribution Transformation (EHTDT) was developed to convert the heavy tailed distribution into a transformed distribution to find the linear approximation. The EHTDT linearization has the advantage of being amenable to characterize and aggregate overdispersion of network traffic in real-time. Results of applying the EHTDT for innovative visual analytics to real network traffic data are presented.

关键词： Entropy-Based Heavy Tailed Distribution Transformation (EHTDT) visual analytics of massive data Quality of Services network traffic characterization statistical processing overdispersion mixture of heavy tailed distribution linearization

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Towards the Synergy between Compression and Content-Based analysis: A Pattern-Driven Approach

Towards the Synergy between Compression and Content-Based An...

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data Compression conference (DCC)

作者： Hai Wei Sakina Zabuawala Joseph Yadegar Julio de la Cruz Hector J. Gonzalez Utopia Compression Corporation U.S. Army RDECOM/STTC

This paper presents a novel pattern-driven image compression technique for exploring the synergy between content-based analysis and compression. Within the pattern-driven paradigm, image data are considered as relational and classifiable entities, which are low level visual patterns including: (1) flat or homogeneous patterns (HP), (2) structural lines, curves and boundaries indicating the intensity/structural discontinuities (SD), and (3) complex/composite patterns (CP). Concisely, the pattern-based image model / can be loosely defined as f image = f HP U f SD U f CP .

关键词： Image coding Feature extraction visualization Maximum likelihood detection Adaptation model Nonlinear filters Tiles

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Real-Time Interactive Heart Illustration Platform via Hardware Accelerated Rendering

Real-Time Interactive Heart Illustration Platform via Hardwa...

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2011 3rd International conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

作者： Changqing Gai Wangmeng Zuo Kuanquan Wang Lei Zhang School of Computer Science and Technology Harbin Institute of Technology Harbin China School of Art and Design Harbin University Harbin China

Real-time interactive visualization plays an important role in the analysis of 3D cardiac imaging data and the assessment of electrophysiological simulation result. Recently, the graphics programmable processor unit (GPU), an increasingly convincing acceleration approach, has been widely adopted in various graphics, visualization, and scienti"c computing applications. In this paper, we present a GPU-based volume visualization approach for real-time interactive human heart illustration. In our scheme, we "rst design the transfer function by constructing a lookup table, and adopt a slice-based direct volume rendering method for realtime visualization. Then, a real time heart tissue isolation strategy is used to illustrate each tissue individually. Finally, we design several interactive tools and implement a platform for the effective visualization of cardiac tissues.

关键词： visualization Real time systems Rendering (computer graphics) Optical imaging Heart

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visualization of the current fields in Caofeidian Sea Area based on GIS

Visualization of the current fields in Caofeidian Sea Area b...

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2011 IEEE International conference on Computer Science and Automation Engineering(CSAE 2011)

作者： Cuiping Kuang,Yonghui Huang,Rui Huo and Yi Pan Depart ment of Hydraulic Eng ineering,School of Civil Engineering,Tongji University,Shanghai,200092,China Maohui Zheng,Shanghai Institute of Disaster Prevention and Relief Tongji University Shanghai,200092,China

Nowadays,in the research field of field-related survey or numerical modeling,data post-processing is often completed using of the third-party softwares,which may have difficult on the storage and management of the large amount of data and figures.A convenient way is needed to process the field *** this paper,ArcGIS is utilized to realize visualization of the tidal current computed from the hydrodynamic model of Caofeidian sea *** virtue of the interface of ArcGIS and the numerical model,the changes of flow field of the study area before and after the project are shown clearly and friendly,which provides great help and convenience for the data analysis.

关键词： GIS numerical simulation visualization Caofeidian sea area current field

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Cerebral cortical alpha rhythms and a discussion on its Nonlinear analysis Results

Cerebral cortical alpha rhythms and a discussion on its Nonl...

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International conference on Noise and Fluctuations (ICNF)

作者： Noboru Tanizuka Teruhisa Hochin Graduate School of Science Osaka Prefecture University Sakai Japan Graduate School of Science and Technology Kyoto Institute of Technology Kyoto Japan

ISBN: (纸本)9781457701894

In the first place, we discuss the chaoticity and the Hurst expornent of the alpha rhythms with MEG data under some consciousness states at some positions on the brain. In the second place we present a new preliminary result for the Hurst exponents over extended frequency of rhythms with EEG data under some conditions with/without pleasant visible/auditory stimuli at a frontal position on the brain and discuss on them.

关键词： Time series analysis Electroencephalography visualization Correlation Time measurement Generators Noise

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Visual group identification method of technical competitors using LinLog graph clustering algorithm

Visual group identification method of technical competitors ...

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IEEE International conference on Computer Science and Automation Engineering (CSAE)

作者： Hong-qi Han Xiaomi An Donghua Zhu Xuefeng Wang Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China) Ministry of Education School of Information Resource Management Beijing 100872 China School of Management and Economics Beijing Institute of Technology 100872 China

visualization technique is a powerful method used by science and technology intelligence analysis experts to identify technical competitor groups. Common visualization methods tend to create graphs meeting the aesthetic criteria instead of finding better clusters, and their analysis results may provide misleading information. A process model of technical group identification method was presented using LinLog graph clustering algorithm to find better competitor groups. In the model, technical similarity value of each pair of competitors is measured based on their R&D output in sub-fields, and two competitors have a link when they have high similarity value; LinLog algorithm, which is aimed at producing better clusters, was employed to layout graph with competitors as nodes, their links as edges and technology similarity values as weights of edges. Experiment results show the efficiency of presented method.

关键词： Clustering algorithms Patents Algorithm design and analysis visualization Springs Layout Companies

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Spatial data-mining Technology Assisting in Petroleum Reservoir Modeling

Spatial Data-mining Technology Assisting in Petroleum Reserv...

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2011 2nd International conference on Challenges in Environmental Science and Computer Engineering(CESCE 2011)

作者： LI Gongquan XIAO Keyan Department of Geoscience Yangtze University

Petroleum reservoir modeling integrates multidiscipline research works which involve much more data type,huge data and complex *** is very important to bring the spatial data-mining(SDM)method into reservoir *** to the characterization of reservoir modeling procedure,spatial data-mining can be used in reservoir geological research and ranking reservoir ***-statistical method,spatial analysis method,visualizing method and non-linear method are the most effective methods for reservoir modeling based on the type of reservoir ***-overlapping method is used for studying the relationship between sedimentary micro-facies and oil production with statistical *** distribution knowledge of sedimentary micro-facies is built by geo-statistical *** visualization method is used for checking the exactness of reservoir *** application in Wenxi I Block of Tuha oil field is shown that spatial data-mining technology not only improves the efficient of reservoir modeling,but also verifies the knowledge obtained from each researching stage so as to guarantee the integrality and exactness of reservoir knowledge.

关键词： Reservoir Modeling,data Mining,Overlapping analysis,visualization

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EdgeAnalyzer: Exploratory analysis through Advanced Edge Interaction

EdgeAnalyzer: Exploratory Analysis through Advanced Edge Int...

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Annual Hawaii International conference on System Sciences (HICSS)

作者： Alexandros Panagiotidis Harald Bosch Steffen Koch Thomas Ertl Visualization and Interactive Systems Group University of Stuttgart Germany

Overdraw and edge crossings are common problems during the exploration of large graphs. Layout methods, such as edge bundling, have been applied to diminish this problem. They often come at the cost of introducing local ambiguities and losing connectivity detail, thus making edge interaction difficult. In this paper we propose EdgeAnalyzer, a focus+context technique for direct interaction with edges and edge bundles, keeping the original graph layout unaltered. Edges can be focused, grouped, filtered, and selected employing user-chosen criteria allowing for the analysis of the underlying data. EdgeAnalyzer can be applied to different kinds of node-link diagrams, but is particularly useful when similarities of edges can be exploited. We demonstrate EdgeAnalyzer with different example scenarios, and show the feasibility of the approach in more detail for co-classification analysis in the intellectual property domain.

关键词： Lenses visualization Context Trajectory Layout Shape Prototypes

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A New data Mining Method for Early Warning Landslides Based on Parallel Coordinate

A New Data Mining Method for Early Warning Landslides Based ...

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2011 IEEE International conference on Spatial data Mining and Geographical Knowledge Services(ICSDM 2011)

作者： Wei Sun~(#1),Shuliang Wang~(#*2) # State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,Hubei,Wuhan,China * International School of Software of Wuhan University, Hubei,Wuhan,China

In this paper,a new data mining method is proposed on the basis of parallel coordinate for early warning of landslides. Landslides have resulted in many severe casualties and damaged structures and *** proposed method is to analyse the landslide problems emerged with the parallel coordinates and its visualization *** may simplify the establishment of complex model,and promote the visualization and analysis ability of spatial data,make closer relationship between spatial data and attribute data,and finally improve the effectiveness of landslide early warning.

关键词： Early warning landslides parallel coordinates data mining clustering analysis

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