Time-tunnel proposed by Akaishi et al. is a multidimensional dataanalysis tool. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual...
详细信息
ISBN:
(纸本)0769523927
Time-tunnel proposed by Akaishi et al. is a multidimensional dataanalysis tool. Time-tunnel visualizes any number of time series numerical data records as individual charts each of which is displayed on an individual rectangular plane called data-wing in a 3D virtual space. Through direct manipulations on a computer screen, the user easily puts more than two data-wings overlapped together to compare their charts in order to recognize the similarity or the difference among those data records. Simultaneously a radar chart among those data at any time point is displayed to recognize the similarity and the correlation among them. Since only one chart is displayed on one data-wing, so if there is a number of data records, the user has to prepare accordingly a huge number of data-wings and practically it becomes impossible to manipulate them. To deal with this problem, the authors enhanced the functionality of Time-tunnel to enable it to display more than two charts on each data-wing. In other word, the authors made each data-wing have the functionality of the Parallel Coordinates. This paper proposes the usefulness of this enhancement of Time-tunnel by showing dataanalysis examples.
Auto theft is the most expensive property crime that is on the rise across the nation. The prediction of auto drop-off locations can increase the probability of offender apprehension. For successful prediction, first ...
详细信息
ISBN:
(纸本)0780391756
Auto theft is the most expensive property crime that is on the rise across the nation. The prediction of auto drop-off locations can increase the probability of offender apprehension. For successful prediction, first the patterns of thefts are identified Then, a prototype expert system successfully identified embedded drop-off location clusters that were previously unknown to investigators. The system was developed using the expert knowledge of auto theft investigators along with spatial and temporal auto theft event data. Drop-off clusters were identified and validated A map interface allows the user to visualize the feature clusters and produce detailed reports. Such GIS applications give us the ability to attain a geographical perspective of incidents within the community, thus help law enforcement officers discover the patterns of incidents and take necessary measures to prevent them.
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing...
详细信息
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing, and process monitoring. Recently imaging techniques, such as Raman, near-IR, and fluorescence imaging, have become popular for "visualization" of pharmaceutical formulations, allowing for spatial and chemical composition information to be obtained simultaneously. These methods have been primarily focused on molecular imaging, or spatial analysis of the molecular characteristics of the tablet formulation. However, elemental species are also an important part of pharmaceuticals. Micro X-ray fluorescence (MXRF) elemental imaging offers complementary information to molecular imaging techniques. In this study, MXRF was used for the elemental imaging of various commercial pharmaceutical drug and vitamin supplements. Specifically, elemental composition and heterogeneity were monitored for each different tablet. (c) 2005 International Centre for Diffraction data.
We present a novel technique to extract a multiresolution surface representation from a dense set of unorganized points within three dimensional space. Without utilization of additional connectivity or topological inf...
详细信息
ISBN:
(纸本)0889865280
We present a novel technique to extract a multiresolution surface representation from a dense set of unorganized points within three dimensional space. Without utilization of additional connectivity or topological information our procedure is able to efficiently produce a precise and topologicaly correct reconstruction of the underlying model. Based on a hierarchical spatial partitioning scheme and regular and irregular mesh refinement techniques we obtain a hierarchical quadrilateral mesh datastructure which is known as Hybrid Mesh (HM). We start by constructing a simple quad-mesh whose faces aggregate the surface of the initial bounding voxel encapsulating the entire point cloud. Through the process of voxel refinement we simultaneously perform a combined regular-irregular mesh refinement whereas the considered quad-mesh is adapted to wrap the remaining non-empty subvoxels. We project the mesh vertices on planes obtained by principal component analysis (PCA) for each voxel. We provide numerical examples for reconstructions obtained by our method.
analysis of multi-body system dynamics is the core content of Virtual Prototyping(VP) of mechanical system. Locomotive can be described as a multi-body system, here presents visualized VP developing platform. The virt...
详细信息
ISBN:
(纸本)7506278413
analysis of multi-body system dynamics is the core content of Virtual Prototyping(VP) of mechanical system. Locomotive can be described as a multi-body system, here presents visualized VP developing platform. The virtual model was obtained from CAD system like CAXA, and the attributes of inertia, mass, etc., were extracted from features, parts and assemblies of CAD environment. The model with uniform format, which includes geometrical data and attribute data, was transmitted into the visualized platform of VP and was mapped into the topology structure of multi-body system of locomotive, in which the dynamics computing equations were constructed and the result was resolved and visualized. All of these were given in integrated visualized VP system named VPMS. A freight car model is built for testifying the system, which obeys the theory mentioned above. The simulating result shows that the platform is satisfying for the visualization of modeling and dynamics computation.
In this article, we present a novel fast algorithm dedicated to the visualization of scalar and vectorial information lying on elliptical surfaces. As the geometry of the data is simple and not relevant, and inside st...
详细信息
ISBN:
(纸本)0769523978
In this article, we present a novel fast algorithm dedicated to the visualization of scalar and vectorial information lying on elliptical surfaces. As the geometry of the data is simple and not relevant, and inside structures are meaningless, standard visualization methods appear to be not well adapted to our context. Our algorithm is based on map projections, good candidates to unroll elliptical surface around a region of interest, without being computationally prohibitive. It has the merit to project, on a 2D cartographic reference, different views of scalar as well as, vectorial 3D information lying on the surface. We display results for synthetic and cell wall simulations data.
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. If efficient analysis tools were available, it could become possible to detect the at...
详细信息
Many business organizations generate a huge amount of transaction data. Association rule mining is a powerful analysis tool to extract the useful meanings and associations from large databases and many automated syste...
详细信息
ISBN:
(纸本)354027894X
Many business organizations generate a huge amount of transaction data. Association rule mining is a powerful analysis tool to extract the useful meanings and associations from large databases and many automated systems have been developed for mining association rules. However, most of these systems usually mine many association rules from large databases and it is not easy for a user to extract meaningful rules. visualization has become an important tool in the data mining process for extracting meaningful knowledge and information from large data sets. Though there are several techniques for visualizing mined association rules, most of these techniques visualize the entire set of discovered association rules on a single screen. Such a dense display can overwhelm analysts and reduce their capability of interpretation. In this paper we present a novel technique called VisAR for visualizing mined association rules. VisAR consists of four major stages for visualizing mined association rules. These stages include managing association rules, filtering association rules of interest, visualizing selected association rules, and interacting with the visualization process. Our technique allows an analyst to view only a particular subset of association rules which contain selected items of interest. VisAR is able to display not only many-to-one but also many-to-many association rules. Moreover, our technique can overcome problems of screen clutter and occlusion.
We describe a method for identifying systematic patterns in translation data using part-ofspeech tag sequences. We incorporate this analysis into a diagnostic tool intended for developers of machine translation system...
详细信息
暂无评论