Wireless Local Area Network (WLAN) have become popular because of mobility and easy installation. Nowadays, WLAN access points (APs) are everywhere. For proper operation of own hybrid network, it may be necessary to k...
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ISBN:
(纸本)9781538608890
Wireless Local Area Network (WLAN) have become popular because of mobility and easy installation. Nowadays, WLAN access points (APs) are everywhere. For proper operation of own hybrid network, it may be necessary to know the APs locations. The visualization can help to get the best coverage or the best conditions of the network. In addition, the measurements help to create an AP inventory or identify unauthorized and illegal APs. Measurements can be divided into two large groups, outdoor and indoor measurements. The hardware and software environment of the two procedures may be different. The goal of this article is to present reproducible measurement to WLAN APs visualization before or after hybrid network installations.
We present a visualization oriented data mining tool designed for biomedical images with focus objects. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each in...
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ISBN:
(纸本)0780382420
We present a visualization oriented data mining tool designed for biomedical images with focus objects. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each interface has visual feedback functions associated with it. The query-by-example interface allows the user to do similarity search using multiple image features. The visual feedback consists of positions of feature values in the database population distribution. Classification incorporates a measure of uncertainty that is based on class differentiation quality. Visual feedback includes visualizations of class likelihoods and uncertainty. Query-by-features interface helps the user explore the relationships among features and diagnoses. The visual feedback includes example images of extreme feature values, images from the database that satisfy query criteria and diagnoses distribution charts. Overall, the tool is designed to increase awareness of visual indicators of health risk in biomedical images. While the present application is focused on skin cancer awareness, the ideas are applicable to other types of biomedical images with focus objects, such as breast tumor and wound images.
Learning to use existing or new software libraries is a difficult task for software developers, which would impede their productivity. Most of existing work provided different techniques to mine API usage patterns fro...
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ISBN:
(纸本)9781467375269
Learning to use existing or new software libraries is a difficult task for software developers, which would impede their productivity. Most of existing work provided different techniques to mine API usage patterns from client programs, in order to help developers to understand and use existing libraries. However, considering only client programs to identify API usage patterns, is a strong constraint as collecting several similar client programs for an API is not a trivial task. And even if these clients are available, all the usage scenarios of the API of interest may not be covered by those clients. In this paper, we propose a visualization based approach for the refinement of Client-based Usage Patterns. We first visualize the patterns structure. Then we enrich the patterns with API methods that are semantically related to them, and thus may contribute together to the implementation of a particular functionality for potential client programs.
Understanding the effects of hand proximity to objects and tasks is critical for hand-held and near-hand objects. Even though self-avatars have been shown to be beneficial for various tasks in virtual environments, li...
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Understanding the effects of hand proximity to objects and tasks is critical for hand-held and near-hand objects. Even though self-avatars have been shown to be beneficial for various tasks in virtual environments, little research has investigated the effect of avatar hand proximity on working memory. This paper presents a between-participants user study investigating the effects of self-avatars and physical hand proximity on a common working memory task, the Stroop interference task. Results show that participants felt embodied when a self-avatar was in the scene, and that the subjective level of embodiment decreased when a participant's hands were not collocated with the avatar's hands. Furthermore, a participant's physical hand placement was significantly related to Stroop interference: proximal hands produced a significant increase in accuracy compared to non-proximal hands. Surprisingly, Stroop interference was not mediated by the existence of a self-avatar or level of embodiment.
As scientific data continues to grow in size, complexity, and density, the representation scope of three-dimensional spaces, data sampling methods, and transfer functions have improved in parallel, allowing visualizat...
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ISBN:
(数字)9781665463652
ISBN:
(纸本)9781665463652
As scientific data continues to grow in size, complexity, and density, the representation scope of three-dimensional spaces, data sampling methods, and transfer functions have improved in parallel, allowing visualization practitioners to produce richer multidimensional encodings. Glyphs, in particular, have become an essential encoding tool due to their versatile applications in co-located multivariate volumetric datasets. While prior work has been conducted investigating the perceptual attributes of computationally-generated three-dimensional glyph-forms for scientific visualization, their affective and expressive qualities have yet to be examined. Further, our prior work has demonstrated the benefits of artist hand-created glyph forms in contrast to commonly-used synthetic forms in increasing visual diversity, discrimination, and expressive association in complex environmental datasets. In order to begin to address this gap, we establish preliminary groundwork for an affective design space for hand-created glyph forms, produce a novel set of glyph-forms based on this design space, describe a non-verbal method for discovering affective classifications of glyph-forms adopted from current affect theory, and report the results of two studies that explore how these three-dimensional forms produce consistent affective responses across assorted study cohorts.
Many graph drawing and visualization algorithms, such as force-directed layout and line-dot rendering, work very well on relatively small and sparse graphs. However, they often produce extremely tangled results and ex...
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Many graph drawing and visualization algorithms, such as force-directed layout and line-dot rendering, work very well on relatively small and sparse graphs. However, they often produce extremely tangled results and exhibit impractical running times for highly non-planar graphs with large edge density. And very few graph layout algorithms support dynamic time-varying graphs;applying them independently to each frame produces distracting temporally incoherent visualizations. We have developed a new visualization technique based on a novel approach to hierarchically structuring dense graphs via stratification. Using this structure, we formulate a hierarchical force-directed layout algorithm that is both efficient and produces quality graph layouts. The stratification of the graph also allows us to present views of the data that abstract away many small details of its structure. Rather than displaying all edges and nodes at once, resulting in a convoluted rendering, we present an interactive tool that filters edges and nodes using the graph hierarchy and allows users to drill down into the graph for details. Our layout algorithm also accommodates time-varying graphs in a natural way, producing a temporally coherent animation that can be used to analyze and extract trends from dynamic graph data. For example, we demonstrate the use of our method to explore financial correlation data for the U.S. stock market in the period from 1990 to 2005. The user can easily analyze the time-varying correlation graph of the market, uncovering information such as market sector trends, representative stocks for portfolio construction, and the interrelationship of stocks over time.
An ergonomic design of a user interface which considers human factors is discussed. Based on a model of the anesthesiologist's monitoring task, the user interface design of an anesthesia decision support system is...
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ISBN:
(纸本)0818620390
An ergonomic design of a user interface which considers human factors is discussed. Based on a model of the anesthesiologist's monitoring task, the user interface design of an anesthesia decision support system is described as an example. The essential aspects of this user interface comprise appropriate information structure, information coding by color and shape, user guidance, and interaction by means of a touch input facility.
3D representations are potentially useful under many circumstances, but suffer from long known perception and interaction challenges. Current immersive technologies, which combine stereoscopic displays and natural int...
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3D representations are potentially useful under many circumstances, but suffer from long known perception and interaction challenges. Current immersive technologies, which combine stereoscopic displays and natural interaction, are being progressively seen as an opportunity to tackle this issue, but new guidelines and studies are still needed, especially regarding informationvisualization. Many proposed approaches are impractical for actual usage, resulting in user discomfort or requiring too much time or space. In this work, we implement and evaluate an alternative data exploration metaphor where the user remains seated and viewpoint change is only realisable through physical movements. All manipulation is done directly by natural mid-air gestures, with the data being rendered at arm's reach. The virtual reproduction of the analyst's desk aims to increase immersion and enable tangible interaction with controls and two dimensional associated information. A comparative user study was carried out against a desktop-based equivalent, exploring a set of 9 perception and interaction tasks based on previous literature and a multidimensional projection use case. We demonstrate that our prototype setup, named VirtualDesk, presents excellent results regarding user comfort and immersion, and performs equally or better in all analytical tasks, while adding minimal or no time overhead and amplifying user subjective perceptions of efficiency and engagement. Results are also contrasted to a previous experiment employing artificial flying navigation, with significant observed improvements.
The evaluation is an essential step of works that propose new informationvisualization techniques or tools. A common type is the controlled experiment in which the researchers measure the user performance to execute ...
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ISBN:
(纸本)9781538672020
The evaluation is an essential step of works that propose new informationvisualization techniques or tools. A common type is the controlled experiment in which the researchers measure the user performance to execute specific tasks using the proposed method. Furthermore, the dataset used for these tests must contain known desired features to be evaluated (e.g., level of noise, missing values, and outliers). Thus, this article proposes an application to generate synthetic datasets for helping the informationvisualization evaluation. The system aims to create a data model that allows the construction of datasets with a diversity of profiles in a controlled manner. During the data model creation, the user can visualize generated data samples in coordinated visualizations to validate if the data has the desired characteristics. The creator of the model can save it for future experiments or updates and can export it enabling other groups to replicate the experiments easily. For a better understanding of application features and how to use it, this work also shows two use scenarios explaining the created model for each situation.
The exploration and visualization of multidimensional medical images is an intricate and complicated problem, considering the amount and complexity of the structures and features within such data. A lot of such struct...
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ISBN:
(纸本)9781728126036
The exploration and visualization of multidimensional medical images is an intricate and complicated problem, considering the amount and complexity of the structures and features within such data. A lot of such structures are identifiable as specific isosurfaces. Consequently, we propose a method for the intuitive selection and representation of meaningful isosurfaces from CT medical volume data. We first employ an isosurface detection algorithm which is easy to incorporate within a raycasting-based traversal of the volume. We then render 2D projections of multiple detected isosurfaces and subject them to various image processing and informationvisualization techniques meant to assist with the selection of meaningful structures and features from the whole body of data. Subsequently, we use a shape similarity metric to build a map which allows for the efficient selection of isosurfaces based on the relative differences of their projected contours. We then cluster the isosurfaces considering these relative differences, allowing for the fast selection of isosurface clusters which form the geometry of key anatomical structures. Our approaches are interactive and allow a potential user to quickly and effectively traverse the isosurface space, focusing on the selection and representation of meaningful portions of the volume data.
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