The three-dimensional visualization of lunar geomorphology was a significant research topic. There exist some problems during the three-dimensional visualization of lunar geomorphology image such as massive dataset re...
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ISBN:
(纸本)9781538649916
The three-dimensional visualization of lunar geomorphology was a significant research topic. There exist some problems during the three-dimensional visualization of lunar geomorphology image such as massive dataset rendering, parallelized visualization algorithms on GPU, and lunar geomorphology image projection transformation. So this paper utilized the WorldWide Telescope platform as the image rendering architecture and adopted the OSWorkflow engine and OpenPBS scheduler to enhance parallel efficiency. Beyond above, one map transformation called tessellated octahedral adaptive subdivision transform was also designed and applied into the lunar geomorphology image three-dimensional rendering.
This paper describes a minimally immersive volumetric interactive system for informationvisualization. The system, SFA, uses glyph-based volume rendering, enabling more information attributes to be visualized than tr...
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This paper describes a minimally immersive volumetric interactive system for informationvisualization. The system, SFA, uses glyph-based volume rendering, enabling more information attributes to be visualized than traditional 2D and surface-based informationvisualization systems. Two-handed interaction and stereoscopic viewing combine to produce a minimally immersive interactive system that enhances the user's three-dimensional perception of the information space, capitalizing on the human visual system's pre-attentive learning capabilities to quickly analyze the displayed information. We describe the usefulness of this system for the visualization of document similarity within a corpus of textual documents. SFA allows the three-dimensional volumetric visualization, manipulation, navigation, and analysis of multivariate, time-varying information spaces, increasing the quantity and clarity of information conveyed from the visualization as compared to traditional 2D information systems.
On the characteristics of cloud computing research, build a server platform, highlighting the rapid processing of data using it to store data capacity and security, in this based on OpenGL-based visualization design o...
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ISBN:
(纸本)9781424462520
On the characteristics of cloud computing research, build a server platform, highlighting the rapid processing of data using it to store data capacity and security, in this based on OpenGL-based visualization design of mine. With three-dimensional data fusion, the abstract data becomes intuitive, image, improve rapid response capabilities, improve the modernization level of the mine management.
Video Question Answering (Video QA) is a task to answer a text-format question based on the understanding of linguistic semantics, visual information, and also linguisticvisual alignment in the video. In Video QA, an ...
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ISBN:
(纸本)9781665493468
Video Question Answering (Video QA) is a task to answer a text-format question based on the understanding of linguistic semantics, visual information, and also linguisticvisual alignment in the video. In Video QA, an object detector pre-trained with large-scale datasets, such as Faster R-CNN, has been widely used to extract visual representations from video frames. However, it is not always able to precisely detect the objects needed to answer the question because of the domain gaps between the datasets for training the object detector and those for Video QA. In this paper, we propose a text-guided object detector (TGOD), which takes text question-answer pairs and video frames as inputs, detects the objects relevant to the given text, and thus provides intuitive visualization and interpretable results. Our experiments using the STAGE framework on the TVQA+ dataset show the effectiveness of our proposed detector. It achieves a 2.02 points improvement in accuracy of QA, 12.13 points improvement in object detection (mAP50), 1.1 points improvement in temporal location, and 2.52 points improvement in ASA over the STAGE original detector.
This paper concerns with the actual problems in the legal work. We apply event extraction technology to the case description part in the Chinese legal text. We define the event type, event argument and event argument ...
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ISBN:
(纸本)9781728181561
This paper concerns with the actual problems in the legal work. We apply event extraction technology to the case description part in the Chinese legal text. We define the event type, event argument and event argument role of the larceny case, and construct a larceny case event extraction dataset through data annotation. We divide event extraction into two steps: event trigger word and argument joint extraction and event argument role assignment. We use BERT to obtain Chinese character vectors, use the BiLSTM-CRF model for extraction at the first step, and combine additional features with the extraction results of the first step, then input them to the CRF model of the second step to obtain an improvement in extraction result. We display the extracted event information in time series to realize the litigation visualization. We format Chinese time expressions, sorts the event information in tine series, and develops a Web application to display the timeline of event information.
Volume rendering techniques have been used widely for high quality visualization of 3D datasets, especially 3D images. However, when rendering very large (out-of-core) datasets, some traditional in-core volume renderi...
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ISBN:
(纸本)9781479983391
Volume rendering techniques have been used widely for high quality visualization of 3D datasets, especially 3D images. However, when rendering very large (out-of-core) datasets, some traditional in-core volume rendering algorithms do not work due to the impossibility of fitting the entire input data in the main memory of a computer. Their simple out-of-core versions do not perform well either because of the slow speed external memory access overhead. In order to solve this problem, a semi-adaptive partitioning strategy and an efficient out-of-core volume rendering method based on it are proposed in this paper. By this new partitioning strategy, the out-of-core dataset is divided into small sub-blocks in different sizes, which are organized by a BSP tree. Each sub-block can be loaded into the fast texture memory of the graphics hardware and be rendered by certain volume rendering algorithm based on 3D texture. Then the final result is obtained by composing the projection images of all the sub-blocks from back to front after traveling the BSP tree according to the viewpoint position. The experimental results indicate that the new method is effective and efficient for the volume visualization of out-of-core 3D images.
The use of high-speed cameras to record the optical light emissions from arcing on electrical contacts provided valuable information on the behavior and mode of the vacuum arc. In many previous visualization experimen...
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ISBN:
(纸本)0780378628
The use of high-speed cameras to record the optical light emissions from arcing on electrical contacts provided valuable information on the behavior and mode of the vacuum arc. In many previous visualization experiments on vacuum arcs, particularly when a bright arc core appeared at high currents, the light emissions saturated the camera system. This obscured both the details of the arc and the transition point between arc modes. Furthermore, the use of film cameras in many experiments made it difficult to numerically analyze the images, and often resulted in subjective definitions of the various arc modes. Experiments using a digital imaging system where the light intensity was limited to the dynamic range of the camera provided significant information on the behavior of vacuum arcs on Cu-Cr contacts in an axial magnetic field (AMF). This work focused on qualitatively analyzing the light emissions from the bright arc core that appeared at high currents, both parallel to the contacts and along the contact gap. The use of arc light intensity allowed for a more concrete identification of the transition point between arc modes.
DNA fingerprints of Mycobacterium tuberculosis complex bacteria (MTBC) are routinely gathered from tuberculosis (TB) patient isolates for all TB patients in the United States to support TB tracking and control efforts...
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ISBN:
(纸本)9781457716133
DNA fingerprints of Mycobacterium tuberculosis complex bacteria (MTBC) are routinely gathered from tuberculosis (TB) patient isolates for all TB patients in the United States to support TB tracking and control efforts, but few tools are available for visualizing and discovering host-pathogen relationships. We present a new visualization approach, host-pathogen maps, for simultaneously examining MTBC strains genotyped by multiple DNA fingerprinting methods such as spoligotyping and restriction fragment length polymorphisms (RFLP) typing along with associated patient surveillance data. The host-pathogen maps are dynamically coupled with spoligoforests or other phylogenetic tree approaches to allow easy navigation within the pathogen genotyping space. visualization of New York State and New York City (NYC) TB patient data from 2001-2007 is used to illustrate how host-pathogen maps can be used to rapidly identify potential instances of uncontrolled spread of tuberculosis versus disease resulting from latent reactivation of prior infection, a critical distinction in tuberculosis control. Host-pathogen maps also reveal trends and anomalies in the relationships between patient groups and MTBC genetic lineages which can provide critical clues in epidemiology and contact investigations of TB.
Honeypots are systems aimed at deceiving threat agents. In most of the cases the latter are cyber attackers with financial motivations, and malicious software with the ability to launch automated attacks. Honeypots ar...
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ISBN:
(纸本)9781479920037
Honeypots are systems aimed at deceiving threat agents. In most of the cases the latter are cyber attackers with financial motivations, and malicious software with the ability to launch automated attacks. Honeypots are usually deployed as either production systems or as research units to study the methods employed by attackers. In this paper we present the results of two distinct research honeypots. The first acted as a malware collector, a device usually deployed in order to capture self-propagating malware and monitor their activity. The second acted as a decoy server, dropping but logging every malicious connection attempt. Both of these systems have remained online for a lengthy period of time to study the aforementioned malicious activity. During this assessment it was shown that human attackers and malicious software are constantly attacking servers, trying to break into systems or spread across networks. It was also shown that the usage of honeypots for malware monitoring and attack logging can be very effective and provide valuable data. Lastly, we present an open source visualization tool which was developed to help security professionals and researchers during the analysis and conclusion drawing phases, for use with one of the systems fielded in our study.
An algorithm that creates planar and arbitrarily curved sections of free-form volumes is presented. The definition of free-form volumes generalizes techniques from free-form curves and surfaces to trivariate represent...
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ISBN:
(纸本)0818620838
An algorithm that creates planar and arbitrarily curved sections of free-form volumes is presented. The definition of free-form volumes generalizes techniques from free-form curves and surfaces to trivariate representation. The definition is given for volumes in the Bernstein-Bezier representation. The author illustrates an intersection algorithm that can be used to perform intersection operations on free-form volumes. Some calculated examples are given. The algorithm can be used as a subroutine for algorithms which are able to perform more general intersections of free-form volumes, e.g. Boolean operations on two free-form volumes.
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