Recent R&D efforts for the U.S. Intelligence Community have been directed towards providing new Information Technology that better supports collaborative war-gaming and decision-modeling among expert teams so as t...
详细信息
ISBN:
(纸本)0769523978
Recent R&D efforts for the U.S. Intelligence Community have been directed towards providing new Information Technology that better supports collaborative war-gaming and decision-modeling among expert teams so as to produce valid and reliable intelligence in a more-timely, less-costly manner. This paper describes Schemer, a web service that provides knowledge validation and collaboration support to virtual panels of experts. Of particular interest is the way that Schemer uses visualization of knowledge distribution among panelists to motivate collaboration, with the goal of fostering greater consensus and knowledge-building, hence, better intelligence. Since an additional requirement for supporting virtual panels is incremental data acquisition from panel members, models must often be computed from incomplete data. The same visualization techniques for evaluating consensus formation and knowledge-building among panelist also prove useful for evaluating the impact of data imputation on model validity and reliability.
Historically, bioinformaticians have carried out protein analysis in one of two ways: by concentrating on either the physical structural representation of the subject data or a more abstract sequential representation....
详细信息
Understanding gene expression in the mouse brain should provide a better understanding of the underlying topology of the mammalian brain, thereby opening previously unexplored avenues in neuroscience and brain informa...
详细信息
ISBN:
(纸本)0819457213
Understanding gene expression in the mouse brain should provide a better understanding of the underlying topology of the mammalian brain, thereby opening previously unexplored avenues in neuroscience and brain informatics. An important step in this direction is to develop robust algorithms to quantify gene expression in in-situ hybridization (ISH) data. ISH methodology involves the use of labeled nucleic acid probes that bind to specific mRNA transcripts in tissue sections. The bound probe is detected using colorimetric methods and the resulting stained tissue sections are imaged at high resolution. The goals of the present study are to first identify a staining method that produces maximum signal to noise ratio (SNR), and second to develop a method for gene expression detection for a wide range of ISH images spanning different intensity and expression patterns. A simple k-means based clustering method is used to separate foreground labeling from background and non-expressing tissues in a variety of images stained with different staining/ counter staining techniques. We found NBT/BCIP with no counterstain produces the best signal to background separation. The foreground cluster detected using the k-means algorithm was further modeled using a normal distribution. A novel one sided Mahalanobis distance based metric with majority partial ordered voting method was then developed to generate a fuzzy segmentation of the gene expression in each ISH image. This algorithm is fully automatic and facilitates high throughput analysis of large amount of image data. Using this methodology a cluster of 10 PCs was able to process approximately 10% of the mouse genome (17 TBytes of JPEG2000 lossless compressed images) over a period of 2 weeks. The results may be visualized at the Allen Institute for Brain Science web site ***.
As General John P. Jumper, Air Force Chief of Staff, noted the bulk of an Air Operations Center Air Tasking Order cycle is spent gathering information from different stovepipe intelligence assets, then manually evalua...
详细信息
ISBN:
(纸本)0819457906
As General John P. Jumper, Air Force Chief of Staff, noted the bulk of an Air Operations Center Air Tasking Order cycle is spent gathering information from different stovepipe intelligence assets, then manually evaluating the results and planning implications'. This time consuming process is an obstacle that inhibits the real-time battlespace awareness needed by commanders to dynamically task assets to address time critical targets and help the Air Force meet its goal of "striking mobile and emerging targets in single digit minutes"(2). This paper describes how research performed for the Dynamic Intelligence Anticipation, Prioritization, and Exploitation System (DIAPES) supports this goal by leveraging advances in ontological modeling, intelligence data integration;artificial intelligence;and visualization. DIAPES applies automated analysis and visualization to an integrated ontology that specifies the relationships among intelligence and planning products and battlespace execution assets. This research seeks to enable commanders and analysts to perform 'what-if' scenarios to judge tradeoffs and determine the potential propagation effects that retasking assets to address time critical targets have throughout battlespace plans and participants.
In the initial stage of sequence analysis, a biologist is first faced with the questions about how to choose the best tool to align sequences of interest and how to analyze and visualize the alignment results, and the...
详细信息
In order to investigate human information processing mechanism systematically, various methods of brain data measurement and analysis are required. It has been observed that multiple brain data such as fMRI brain imag...
详细信息
ISBN:
(纸本)3540305068
In order to investigate human information processing mechanism systematically, various methods of brain data measurement and analysis are required. It has been observed that multiple brain data such as fMRI brain images and EEG brain waves extracted from human multiperception mechanism involved in a particular task are peculiar ones with respect to a specific state or the related part of a stimulus. Based on this point of view, we propose a way of peculiarity oriented mining for multi-aspect analysis in multiple human brain data, without using conventional image processing to fMRI brain images and frequency analysis to brain waves. The proposed approach provides a new way in Brain Informatics for automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientists from a single type of experimental dataanalysis towards a holistic view.
作者:
Mika, Peter
De Boelelaan 1081 1081HV Amsterdam Netherlands
We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic ...
详细信息
Work done to study subjects in a statics class taught at Valparaiso University as to the development of the ability of students to visualize in 3D was discussed. Four different media were explored, from paper-and-penc...
详细信息
Work done to study subjects in a statics class taught at Valparaiso University as to the development of the ability of students to visualize in 3D was discussed. Four different media were explored, from paper-and-pencil to a fully immersive virtual reality experience. Wide-ranging data in the course was collected and its analysis was presented. A framework for analyzing virtual reality media for applications in education was included. Special effort was directed towards analyzing the cost to benefit ratio of using different teaching technologies.
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspe...
详细信息
ISBN:
(纸本)9783540855644
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects of the data that would jeopardize their automated classification and, as a result, the process of computer-based diagnostic assistance. In this paper, we put forward a method to overcome this potential problem that combines automatic outlier detection, visualization through dimensionality reduction, and expert opinion.
With the development of mobile communications and wireless Internet technology, the mobile computing environment makes it possible to get any information from Internet at anytime and anywhere. However, client of mobil...
详细信息
ISBN:
(纸本)078039335X
With the development of mobile communications and wireless Internet technology, the mobile computing environment makes it possible to get any information from Internet at anytime and anywhere. However, client of mobile GIS has the diversity including cellular telephones, PDAs and vehicle terminals, etc. Therefore, mobile GIS must take this diversity into consideration and offer the service of spatial information running in various terminals. A standard open descriptive format of spatial information data is very important. Scalable Vector Graphics (SVG), an effective approach in the era of mobile internet, can get all sorts of bountiful graph information at anytime and anywhere. In mobile GIS system, SVG is also a valid method of representation spatial information. Mapping relation between spatial information and SVG marker was firstly studied in the paper. Secondly, method on generation of spatial information expressed by SVG was researched. Thirdly, the paper proposed SVG analysis and rendering approach combined pull mode with DOM View for Render (DVR). Complex feature, such as water system of embedded island, was rendered by means of strategy of layer controlling. The experimental result shows that it is feasible to adopt SVG describing or representing spatial information. And SVG can solve the problem on the diversity of client during the mobile service of spatial information, which will promote to popularize the service of spatial information.
暂无评论