检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,040 篇 会议
159 篇 期刊文献

馆藏范围

1,199 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

708 篇 工学
- 498 篇 软件工程
- 493 篇 计算机科学与技术...
- 202 篇 电气工程
- 33 篇 信息与通信工程
- 21 篇 机械工程
- 20 篇 电子科学与技术（可...
- 19 篇 力学（可授工学、理...
- 18 篇 控制科学与工程
- 17 篇 生物医学工程（可授...
- 16 篇 生物工程
- 15 篇 测绘科学与技术
- 12 篇 仪器科学与技术
- 12 篇 土木工程
- 11 篇 光学工程
- 11 篇 建筑学
- 7 篇 材料科学与工程（可...
- 6 篇 化学工程与技术
- 6 篇 网络空间安全
151 篇 理学
- 94 篇 数学
- 39 篇 物理学
- 25 篇 统计学（可授理学、...
- 24 篇 生物学
- 14 篇 化学
- 14 篇 地球物理学
- 7 篇 系统科学
58 篇 管理学
- 34 篇 图书情报与档案管...
- 28 篇 管理科学与工程(可...
- 7 篇 工商管理
33 篇 医学
- 29 篇 临床医学
16 篇 农学
8 篇 法学
- 7 篇 社会学
3 篇 经济学
1 篇 文学
1 篇 军事学

主题

356 篇 data visualizati...
211 篇 visualization
175 篇 rendering (compu...
116 篇 parallel process...
108 篇 graphics process...
96 篇 computational mo...
95 篇 computer graphic...
66 篇 hardware
52 篇 graphics
48 篇 graphics process...
48 篇 data models
43 篇 volume rendering
40 篇 computer science
40 篇 computer archite...
39 篇 parallel algorit...
39 篇 concurrent compu...
37 篇 application soft...
37 篇 data mining
37 篇 algorithm design...
37 篇 pipelines

机构

17 篇 argonne national...
13 篇 university of ca...
13 篇 argonne natl lab...
12 篇 ohio state univ ...
10 篇 university of ca...
10 篇 univ calif davis...
9 篇 los alamos natio...
9 篇 lawrence berkele...
9 篇 univ calif davis...
9 篇 univ utah sci in...
9 篇 oak ridge nation...
9 篇 sandia national ...
8 篇 lawrence livermo...
8 篇 oak ridge natl l...
8 篇 univ utah salt l...
8 篇 univ oregon euge...
7 篇 lawrence berkele...
7 篇 sandia natl labs...
7 篇 university of st...
7 篇 ohio state univ ...

作者

31 篇 ma kwan-liu
18 篇 kwan-liu ma
18 篇 childs hank
17 篇 shen han-wei
17 篇 pascucci valerio
14 篇 ahrens james
14 篇 bremer peer-timo
13 篇 han-wei shen
13 篇 huang jian
12 篇 michael e. papka
11 篇 peterka tom
11 篇 papka michael e.
10 篇 hank childs
10 篇 ertl thomas
10 篇 garth christoph
10 篇 joy kenneth i.
9 篇 james ahrens
9 篇 guo hanqi
9 篇 ma kl
9 篇 yu hongfeng

语言

1,196 篇 英文
2 篇 其他
1 篇 中文

检索条件"任意字段=IEEE Symposium on Parallel and Large-Data Visualization and Graphics"

共 1199 条记录，以下是581-590 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

EVEVis: A multi-scale visualization system for dense evolutionary data

EVEVis: A multi-scale visualization system for dense evoluti...

引用

1st ieee symposium on Biological data visualization, BioVis 2011

作者： Miller, Robert Mozhayskiy, Vadim Tagkopoulos, Llias Ma, Kwan-Liu University of California Davis United States

ISBN: (纸本)9781467300025

Evolutionary simulations can produce datasets consisting of thousands or millions of separate entities, complete with their genealogical relationships. Biologists must examine this data to determine when and where these entities have changed, both on an individual basis and on a population-wide basis. Therefore, desirable features of a visualization system for evolutionary data are the capability of showing the status of the population at any given moment in time, good scalability, and smooth transition between high-level and low-level views. We propose a multi-scale visualization method, including a novel tree layout that both shows population status over time and can easily scale to very large populations. From this layout, the user can navigate to visualizations for moments in time or for individual entities. We demonstrate the effectiveness of the visualization on an existing evolutionary simulation called EVE: Evolution in Variable Environments. © 2011 ieee.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

The Galaxy Track Browser: Transforming the genome browser from visualization tool to analysis tool

The Galaxy Track Browser: Transforming the genome browser fr...

引用

1st ieee symposium on Biological data visualization, BioVis 2011

作者： Goecks, Jeremy Li, Kanwei Clements, Dave Taylor, James Galaxy Project Emory University United States

ISBN: (纸本)9781467300025

The proliferation of next-generation sequencing (NGS) technologies and analysis tools present new challenges to genome browsers. These challenges include supporting very large datasets, integrating analysis tools with data visualization to help reason about and improve analyses, and sharing or publishing fully interactive visualizations. The Galaxy Track Browser (GTB) is a Web-based genome browser integrated into the Galaxy platform that addresses these challenges. GTB is the first Web-based genome browser to provide a full multi-resolution data model;this model supports efficient data retrieval from very large datasets. GTB leverages the Galaxy platform to combine data visualization and data analysis;users can specify parameter values and run tools to produce new data, all within GTB. GTB also provides interactive filters that dynamically show and hide data and can be used to identify data for further investigation. GTB is available on every Galaxy server, and visualizations can be created for both standard and custom genome builds. Fully interactive GTB visualizations can be shared with colleagues and published on the Web using a simple graphical user interface. © 2011 ieee.

关键词： Genome

来源：评论

学校读者我要写书评

暂无评论

ieee symposium on Biological data visualization 2011, BioVis 2011 - Proceedings

IEEE Symposium on Biological Data Visualization 2011, BioVis...

引用

1st ieee symposium on Biological data visualization, BioVis 2011

ISBN: (纸本)9781467300025

The proceedings contain 20 papers. The topics discussed include: Quick2Insight: a user-friendly framework for interactive rendering of biological image volumes;modeling and visualization of receptor clustering on the cellular membrane;parallel contour-buildup algorithm for the molecular surface;fiber stippling: an illustrative rendering for probabilistic diffusion tractography;visualization of anisotropic contact potentials within protein structures;the galaxy track browser: transforming the genome browser from visualization tool to analysis tool;visual analysis of next-generation sequencing data to detect overlapping genes in bacterial genomes;iHAT: interactive hierarchical aggregation table;metrics for comparing explicit representations of interconnected biological networks;RuleBender: integrated visualization for biochemical rule-based modeling;and MDMap: a system for data-driven layout and exploration of molecular dynamics simulations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Histogram spectra for multivariate time-varying volume LOD selection

Histogram spectra for multivariate time-varying volume LOD s...

引用

1st ieee symposium on large-Scale data Analysis and visualization 2011, LDAV 2011

作者： Martin, Steven Shen, Han-Wei Ohio State University United States

ISBN: (纸本)9781467301541

Level of detail techniques are widely applied to minimize sampling error subject to working set size constraints. Typical large data sets being produced today have many variables sampled across time-varying volumes. visualization of these multivariate volumes is commonly phrased in terms of conditional expressions such as "show variable A where variable B is between B 1 and B2." The bounds, B1 and B 2, tend to be specified during the interactive portion of the workflow. Thus, to maximize quality over the salient interval, level of detail selection should also be interactive. We introduce the concept of histogram spectra to quickly and compactly quantify the statistical sensitivity of volumes to sampling. Salient interval volumes of one or more variables are used to select which parts of the histogram spectra are important. The level of detail selection problem, over a time-varying, multivariate, multiresolution volume, is then posed as an integer programming problem using the histogram spectra. We propose an efficient solution enabling interactive LOD selection on large, out-of-core volumes and show its efficacy on two real data sets from different problem domains. © 2011 ieee.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

Distributed terascale volume visualization using distributed shared virtual memory

Distributed terascale volume visualization using distributed...

引用

1st ieee symposium on large-Scale data Analysis and visualization 2011, LDAV 2011

作者： Beyer, Johanna Hadwiger, Markus Schneider, Jens Jeong, Won-Ki Pfister, Hanspeter KAUST Saudi Arabia Harvard University United States

ISBN: (纸本)9781467301541

Table 1 illustrates the impact of different distribution unit sizes, different screen resolutions, and numbers of GPU nodes. We use two and four GPUs (NVIDIA Quadro 5000 with 2.5 GB memory) and a mouse cortex EM dataset (see Figure 2) of resolution 21,494 x 25,790 x 1,850 = 955GB. The size of the virtual distribution units significantly influences the data distribution between nodes. Small distribution units result in a high depth complexity for compositing. large distribution units lead to a low utilization of GPUs, because in the worst case only a single distribution unit will be in view, which is rendered by only a single node. The choice of an optimal distribution unit size depends on three major factors: the output screen resolution, the block cache size on each node, and the number of nodes. Currently, we are working on optimizing the compositing step and network communication between nodes. © 2011 ieee.

关键词： Program processors

来源：评论

学校读者我要写书评

暂无评论

Activity detection for scientific visualization

Activity detection for scientific visualization

引用

1st ieee symposium on large-Scale data Analysis and visualization 2011, LDAV 2011

作者： Ozer, Sedat Silver, Deborah Bemis, Karen Martin, Pino Takle, Jay Department of Electrical and Computer Engineering Rutgers University NJ 08854 United States Department of Earth and Planetary Sciences Rutgers University NJ 08854 United States Department of Aerospace Engineering University Maryland MD 20742 United States

ISBN: (纸本)9781467301541

Understanding the science behind ultra-scale simulations requires extracting meaning from data sets of hundreds of terabytes or more. At extreme scales, the data sets are so huge, there is not even enough time to view the data, let alone explore it with basic visualization methods. Automated tools are necessary for knowledge discovery to help sift through the information and isolate characteristic patterns, thereby enabling the scientist to study local interactions, the origin of features, and their evolution, i.e. activity detection in large volumes of 3D data. Defining and modelling such activities in 3D scientific data sets remains an open research problem, though it has been widely studied in the computer vision community. In this work we demonstrate how utilizing activity detection can help us model and detect complex events (activities) in large 3D scientific data sets. We employ Petri nets which support distributed and discrete graphical modelling of spatio-temporal patterns to model activities in time-varying 3D scientific data sets. We demonstrate the use of Petri nets on three different data sets. © 2011 ieee.

关键词： Petri nets

来源：评论

学校读者我要写书评

暂无评论

Analysis of large-scale scalar data using hixels

Analysis of large-scale scalar data using hixels

引用

1st ieee symposium on large-Scale data Analysis and visualization 2011, LDAV 2011

作者： Thompson, David Levine, Joshua A. Bennett, Janine C. Bremer, Peer-Timo Gyulassy, Attila Pascucci, Valerio Pébay, Philippe P. Sandia National Laboratories United States SCI Institute University of Utah United States Lawrence Livermore National Laboratory United States

ISBN: (纸本)9781467301541

One of the greatest challenges for today's visualization and analysis communities is the massive amounts of data generated from state of the art simulations. Traditionally, the increase in spatial resolution has driven most of the data explosion, but more recently ensembles of simulations with multiple results per data point and stochastic simulations storing individual probability distributions are increasingly common. This paper introduces a new data representation for scalar data, called hixels, that stores a histogram of values for each sample point of a domain. The histograms may be created by spatial down-sampling, binning ensemble values, or polling values from a given distribution. In this manner, hixels form a compact yet information rich approximation of large scale data. In essence, hixels trade off data size and complexity for scalar-value "uncertainty". Based on this new representation we propose new feature detection algorithms using a combination of topological and statistical methods. In particular, we show how to approximate topological structures from hixel data, extract structures from multi-modal distributions, and render uncertain isosurfaces. In all three cases we demonstrate how using hixels compares to traditional techniques and provide new capabilities to recover prominent features that would otherwise be either infeasible to compute or ambiguous to infer. We use a collection of computer tomography data and large scale combustion simulations to illustrate our techniques. © 2011 ieee.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

graphics HARDWARE-BASED ALGORITHM FOR large SCALE TERRAIN RENDERING

GRAPHICS HARDWARE-BASED ALGORITHM FOR LARGE SCALE TERRAIN RE...

引用

ieee International Geoscience and Remote Sensing symposium (IGARSS)

作者： Liu, Hao Duan, Fuzhou Zhao, Wenji Pan, Liliang Cao, Wei Gong, Huili Capital Normal Univ Beijing 100048 Peoples R China MOE 3D Informat Acquisit & Applicat Key Lab Beijing Peoples R China Inst Geograph Sci Nat Resources Res Beijing 100101 Peoples R China

ISBN: (纸本)9781457710056

Used the main idea of Geometry Clipmap algorithm for reference, the emphasis focused on simplification of the algorithm and improvement of the details including LOD generation, data scheduling and data clipping etc. Designed a frustum shape mesh(View-Mesh), which was transformed into a terrain mesh by sampling the height map. Implemented the data clipping by using the current View-Mesh to clip a pile of DEM data arranged irregularly. And the terrain blocks selection and sampling was finished by GPU. Experiments show that this algorithm is a unified approach to process and render DEM data and texture data, it has a few advantages including simplicity of implementation, few data limitation and eliminating the cracks phenomenon effectively(1).

关键词： Terrain visualization LOD Mesh GPU Geometry Clipmap

来源：评论

学校读者我要写书评

暂无评论

GenAMap: visualization strategies for structured association mapping

GenAMap: Visualization strategies for structured association...

引用

1st ieee symposium on Biological data visualization, BioVis 2011

作者： Curtis, Ross E. Kinnaird, Peter Xing, Eric P. Joint Carnegie Mellon-University of Pittsburgh Program for Computational Biology United States Human Computer Interaction Institute Carnegie Mellon University United States Machine Learning Department Carnegie Mellon University United States

ISBN: (纸本)9781467300025

Association mapping studies promise to link DNA mutations to gene expression data, possibly leading to innovative treatments for diseases. One challenge in large-scale association mapping studies is exploring the results of the computational analysis to find relevant and interesting associations. Although many association mapping studies find associations from a genome-wide collection of genomic data to hundreds or thousands of traits, current visualization software only allow these associations to be explored one trait at a time. The inability to explore the association of a genomic location to multiple traits hides the inherent interaction between traits in the analysis. Additionally, researchers must rely on collections of in-house scripts and multiple tools to perform an analysis, adding time and effort to find interesting associations. In this paper, we present a novel visual analytics system called GenAMap. GenAMap replaces the time-consuming analysis of large-scale association mapping studies with exploratory visualization tools that give geneticists an overview of the data and lead them to relevant information. We present the results of a preliminary evaluation that validated our basic approach. © 2011 ieee.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

VisIO: Enabling interactive visualization of ultra-scale, time series data via high-bandwidth distributed I/O systems

VisIO: Enabling interactive visualization of ultra-scale, ti...

引用

25th ieee International parallel and Distributed Processing symposium, IPDPS 2011

作者： Mitchell, Christopher Ahrens, James Wang, Jun Department of Electrical Engineering and Computer Science University of Central Florida Orlando FL 32816-2450 United States Computer Computational and Statistical Sciences Los Alamos National Laboratory Los Alamos NM 87545 United States

ISBN: (纸本)9780769543857

Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visualization of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data, as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of I/O bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data. © 2011 ieee.

关键词： data visualization

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共120页 << < 55 56 57 58 59 60 61 62 63 64 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：