Based on the analysis of how GIS technology apply in landscape planning and design, this paper discusses characteristics of GIS visualization technology combined with a practical application example, indicates the 3D ...
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ISBN:
(纸本)9781612848495
Based on the analysis of how GIS technology apply in landscape planning and design, this paper discusses characteristics of GIS visualization technology combined with a practical application example, indicates the 3D visualization technology application process, and realizes the 3D visualization of 3D landscape simulation, 3D spatial browsing, and so on based on multi-resource data.
The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code ci...
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ISBN:
(纸本)9781424492220
The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code circulation very serious, So it is time to require analysis about malicious code. The being so malicious code pattern extract for malicious code properties of anti-virus company. visualization possible to make one image for thousands upon thousands of malicious code. and It is possible to extract unseen pattern. Therefore this paper of object is various malicious code analysis besides new or variant malicious code type or form deduction using visualization of strong. Thus this paper proposes unseen malicious code pattern extract.
Current software systems having Ramachandran Plots do not support interactivity with the visualization. Current web-based Ramachandran Plot tools provide only primitive analysis and simple report generation features. ...
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Current software systems having Ramachandran Plots do not support interactivity with the visualization. Current web-based Ramachandran Plot tools provide only primitive analysis and simple report generation features. In Weave (Web-based analysis and visualization Environment), we have developed an improved Ramachandran Plot with interactivity that facilitates better analysis, sequence searching features and supplementary visualizations. Weave provides essential features facilitating broader amino acid analysis, statistical computations and the advantages of a more general web-based application.
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled training datasets, instead allowing the us...
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ISBN:
(纸本)9781457711022
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled training datasets, instead allowing the user to find natural groups of similar content based upon a handful of "seed" examples. Two efficient data mining tools originally developed for text analysis;min-Hash and APriori are used and extended to achieve both speed and scalability on large image and video datasets. Inspired by the Bag-of-Words (BoW) architecture, the idea of an image signature is introduced as a simple descriptor on which nearest neighbour classification can be performed. The image signature is then dynamically expanded to identify common features amongst samples of the same class. The iterative approach uses APriori to identify common and distinctive elements of a small set of labelled true and false positive signatures. These elements are then accentuated in the signature to increase similarity between examples and "pull" positive classes together. By repeating this process, the accuracy of similarity increases dramatically despite only a few training examples, only 10% of the labelled groundtruth is needed, compared to other approaches. It is tested on two image datasets including the caltech101 [9] dataset and on three state-of-the-art action recognition datasets. On the YouTube [18] video dataset the accuracy increases from 72% to 97% using only 44 labelled examples from a dataset of over 1200 videos. The approach is both scalable and efficient, with an iteration on the full YouTube dataset taking around 1 minute on a standard desktop machine.
Recent research in genomics and biomedical studies has shown a relationship between heredity, mutations in certain genes and the corresponding probabilities of developing certain cancers. In this study we looked at br...
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Recent research in genomics and biomedical studies has shown a relationship between heredity, mutations in certain genes and the corresponding probabilities of developing certain cancers. In this study we looked at breast and ovarian cancer distributions across all states and counties in the United States over time. We describe briefly Weave, our Web-based analysis and visualization Environment and use it to explore these cancers and present interactive animated visualizations of family hereditary patterns and genetic distributions, not only for these cancers, but also for other life-threatening cancers and related health indicators. We also show how Weave can be used to integrate other diverse epidemiological data, in particular obesity, and explore its relationship with cancer data.
Filtering data is an essential process in a drill-down analysis of large data sets. Filtering can be necessary for several reasons. The main objective for filters is to uncover the relevant subsets of a dataset. Anoth...
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Filtering data is an essential process in a drill-down analysis of large data sets. Filtering can be necessary for several reasons. The main objective for filters is to uncover the relevant subsets of a dataset. Another, equally relevant goal is to reduce a dataset to dimensions to which either visualization or algorithmic analysis techniques scale. However, with multiple filters applied and possibly even logically combined, it becomes difficult for users to judge the effects of a filter chain. In this paper we present a simple, yet effective way to interactively visualize a sequence of filters and logical combinations of these. Such a visualized filter-pipeline allows analysts to easily judge the effect of every single filter and also their combination on the data set under investigation and therefore, leads to a faster and more efficient workflow. We also present an implementation of the proposed technique in an information visualization framework for the life sciences. The technique, however, could be employed in many other information visualization contexts as well.
This study analyzes motor adaptation during a redundant tasks with the wrist. The goal is threefold: (i) understanding if motor adaptation also occurs when CNS is involved in the solution of the redundancy problem;(ii...
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ISBN:
(纸本)9781424441228
This study analyzes motor adaptation during a redundant tasks with the wrist. The goal is threefold: (i) understanding if motor adaptation also occurs when CNS is involved in the solution of the redundancy problem;(ii) addressing whether motor strategies used to solve redundancy (i. e Donders' law) are disrupted or not during adaptation;(iii) verifying if motor strategies remain the same during adaptation and washout or they themselves adapt. First of all, our data confirm that CNS adapts its movements to the perturbation also when it is committed in the execution of a redundant task. Secondly, we showed that motor strategies used to solve redundancy (i. e Donders' law) are not disrupted during adaptation, since absolute values of thickness during the whole protocol remain in the range of physiological values. Lastly, analysis of the curvature of Donders' surfaces suggests that motor strategies, such as Donders' law, remain invariant during motor adaptation in redundant tasks.
Visualizing the collective modulation of multiple neurons during a known behavioral task is useful for exploratory analysis, but handling the large dimensionality of neural recordings is challenging. We further invest...
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Visualizing the collective modulation of multiple neurons during a known behavioral task is useful for exploratory analysis, but handling the large dimensionality of neural recordings is challenging. We further investigate using static dimensionality reduction techniques on neural firing rate data during an arm movement task. This lower-dimensional representation of the data is able to capture the neural states corresponding to different portions of the behavior task. A simulation using a dynamical model lends credence to the ability of the technique to generate a representation that preserves underlying dynamics of the model. This technique is a straightforward way to extract a useful visualization for neural recordings during brain-machine interface tasks. Meaningful visualization confirms underlying structure in data, which can be captured with parametric modeling.
The dimensionality of soccer statistics relating to goalkeeper specific data can be difficult to interpret. Leveraging our existing statistical analytics tool, Soccer Scoop, we developed a goalkeeper visualization add...
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The dimensionality of soccer statistics relating to goalkeeper specific data can be difficult to interpret. Leveraging our existing statistical analytics tool, Soccer Scoop, we developed a goalkeeper visualization add-on that can assist a team manager. With the newly developed goalkeeper visualization tool, a team manager can compare a single goalkeeper between two games, measure the overall performance of the goalkeeper both for games played at home or away, as well as to devise the appropriate training exercises needed to strengthen any visible weakness. To keep with the continuity of the visualization styles of our first tool, Soccer Scoop, the goalkeeper visualization applies similar techniques, such as glyphs, details on demand, color, and Gestalt principles.
It is often necessary to perform exploratory analysis on datasets in order to determine the patterns to show as presentation visualizations for a target audience. In many cases, exploratory packages do not offer enoug...
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It is often necessary to perform exploratory analysis on datasets in order to determine the patterns to show as presentation visualizations for a target audience. In many cases, exploratory packages do not offer enough flexibility to alter application look and feel in order to produce the required presentations of the data. Runtime modifications of aesthetic, interactive and visualization layering properties allow new interfaces to be defined that can best suit a target audience. Modifications to these properties allow advanced exploratory systems to be reduced down to limited presentation visualizations, and everything in between. This paper explores the design and applications of such runtime application flexibility within the web-based visualization environment Weave.
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