Moment tensors derived from seismic measurements during earthquakes are related to stress tensors and keep important information about surface displacement in the earth's mantle. We present methods facilitating an...
详细信息
ISBN:
(纸本)9780819484055
Moment tensors derived from seismic measurements during earthquakes are related to stress tensors and keep important information about surface displacement in the earth's mantle. We present methods facilitating an interactive visualization of scattered moment data to support earthquake and displacement analysis. For this goal, we combine and link visualizations of spatial location and orientation information derived from moment tensor decompositions. Furthermore, we contribute new tensor glyphs highlighting the indefinite character of moment tensors as well as novel tensor clustering and averaging techniques to aid interactive visual analysis and ease the challenges of interpreting moment tensor data.
During the process of trade space exploration, information overload has become a notable problem. To find the best design, designers need more efficient tools to analyze the data, explore possible hidden patterns, and...
详细信息
ISBN:
(纸本)9780791854822
During the process of trade space exploration, information overload has become a notable problem. To find the best design, designers need more efficient tools to analyze the data, explore possible hidden patterns, and identify preferable solutions. When dealing with large-scale, multi-dimensional, continuous data sets (e.g., design alternatives and potential solutions), designers can be easily overwhelmed by the volume and complexity of the data. Traditional information visualization tools have some limits to support the analysis and knowledge exploration of such data, largely because they usually emphasize the visual presentation of and user interaction with data sets, and lack the capacity to identify, hidden data patterns that are critical to in-depth analysis. There is a need for the integration of user-centered visualization designs and data-oriented dataanalysis algorithms in support of complex dataanalysis. In this paper, we present a work-centered approach to support visual analytics of multi-dimensional engineering design data by combining visualization, user interaction, and computational algorithms. We describe a system, Learning-based Interactive visualization for Engineering design (LIVE), that allows designer to interactively examine large design input data and performance output dataanalysis simultaneously through visualization. We expect that our approach can help designers analyze complex design data more efficiently and effectively We report our preliminary evaluation on the use of our system in analyzing a design problem related to aircraft wing sizing.
Questionnaire Survey is one of the most popular methods in Social Science study, the process of which consists of three phases: data collection, analysis and representation. At present, the practical operations of the...
详细信息
ISBN:
(纸本)9783037853122
Questionnaire Survey is one of the most popular methods in Social Science study, the process of which consists of three phases: data collection, analysis and representation. At present, the practical operations of the three phases are still backward, and the methods used in dataanalysis and statistic are still simple. This paper designed a Survey analysis System based on datavisualization, which can not only realize survey on the Internet, but also brought datavisualization into the phases of dataanalysis and representation, so as to help users to obtain and operate data visually and handily.
data warehouses and Online analysis Processing (OLAP) have acknowledged and efficient solutions for helping in the decision-making process. Through OLAP operators, online analysis enables the decision-maker to navigat...
详细信息
ISBN:
(纸本)9783642297489
data warehouses and Online analysis Processing (OLAP) have acknowledged and efficient solutions for helping in the decision-making process. Through OLAP operators, online analysis enables the decision-maker to navigate and view data represented in a multidimensional manner. But when the data or objects to be analyzed are complex, it is necessary to redefine and enhance the abilities of the OLAP. In this paper, we suggest combining OLAP and data mining in order to create a new visualization operator for complex data or objects. This operator uses the correspondence analysis method and we call it VOCoDa (visualization Operator for Complex data).
Chromatography is a technique used to separate and quantify the components in a complex chemical mixture. We have created a 3D visualization system capable of comparing the chemical properties of chromatographic syste...
详细信息
ISBN:
(纸本)9780819484055
Chromatography is a technique used to separate and quantify the components in a complex chemical mixture. We have created a 3D visualization system capable of comparing the chemical properties of chromatographic systems. The visualization system combines scatter plots, parallel coordinates, and specialized glyphs to assist in the analysis of chromatographic data and comparisons of multiple systems. Using this tool, numerous separation systems can be readily compared simultaneously - greatly facilitating the ability to select systems that are likely to produce desired separations during method development.
Acquire the metadata of shared scientific data of Earth System Science on the Portal of Chinese Science and Technology Resource, extract field keyword for analysis, then use Network Workbench Tool (NWB Tool) for keywo...
详细信息
As a Novel Disaster surviving technology, Continuous data Protection(CDP) can restore the protected system to the state of any time point in the past. Until now, no efficient survivability evaluation method for CDP sy...
详细信息
ISBN:
(纸本)9780819488473
As a Novel Disaster surviving technology, Continuous data Protection(CDP) can restore the protected system to the state of any time point in the past. Until now, no efficient survivability evaluation method for CDP system is developed. Regarding this problem, a semi-markov process(SMP) is applied to survivability of CDP, SMP model for CDP survivability analysis is established, quantitative survivability metric is calculated and some survivability enhancing strategies are proposed accordingly.
Driven by market forces and spanning the full spectrum of computational devices, computer architectures are changing in ways that present tremendous opportunities and challenges for dataanalysis and visual analytic t...
详细信息
ISBN:
(纸本)9780819484055
Driven by market forces and spanning the full spectrum of computational devices, computer architectures are changing in ways that present tremendous opportunities and challenges for dataanalysis and visual analytic technologies. Leadership-class high performance computing system will have as many as a million cores by 2020 and support 10 billion-way concurrency, while laptop computers are expected to have as many as 1,000 cores by 2015. At the same time, data of all types are increasing exponentially and automated analytic methods are essential for all disciplines. Many existing analytic technologies do not scale to make full use of current platforms and fewer still are likely to scale to the systems that will be operational by the end of this decade. Furthermore, on the new architectures and for data at extreme scales, validating the accuracy and effectiveness of analytic methods, including visual analysis, will be increasingly important.
Faced with a large, high-dimensional dataset, many turn to dataanalysis approaches that they understand less well than the domain of their data. An expert's knowledge can be leveraged into many types of analysis ...
详细信息
Monitoring of computer network events is essential in uncertain and time varying situations. Several techniques and tools have been developed to reveal useful patterns from raw network data sets. Challenges for networ...
详细信息
ISBN:
(纸本)9780769550145;9781479902194
Monitoring of computer network events is essential in uncertain and time varying situations. Several techniques and tools have been developed to reveal useful patterns from raw network data sets. Challenges for network monitoring include processing massive data, spotting unknown patterns, and interactive analysis for deeper reasoning. Generally, computers in intranets are categorized into crucial nodes or not depending on their roles. We address the issue of network events monitoring by focusing on crucial network nodes, and we present visualization approaches for crucial nodes monitoring and analysis. Contributions of this paper include an efficient categorization and exchange mechanism for multiple streaming data, a comprehensive interactive visualization system with coordinated views, and an intuitive radial visualization which fuses firewall data and IDS data inherently for crucial node monitoring. In our study using the IEEE VAST Challenge 2011dataset, we found two kinds of anomalies.
暂无评论