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Regional quantitative analysis of cortical surface maps of FDG PET images

Regional quantitative analysis of cortical surface maps of F...

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Nuclear Science Symposium/Medical Imaging conference

作者： Protas, Hillary D. Thompson, Paul M. Hayashi, Kiralee M. Yu, Chin-Lung Bergsneider, Marvin Huang, Sung-Cheng Univ Calif Los Angeles David Geffen Sch Med Dept Biomath Los Angeles CA USA

ISBN: (纸本)0780392213

Cortical surface maps are advantageous for visualizing the 3D profile of cortical gray matter development and atrophy, and for integrating structural and functional images. In addition, cortical surface maps for PET data, when analyzed in conjunction with structural MRI data allow us to investigate, and correct for, partial volume effects. Here we compared quantitative regional PET values based on a 3D cortical surface modeling approach with values obtained directly from the 3D FDG PET images in various atlas-defined regions of interest (ROIs;temporal, parietal, frontal, and occipital lobes). FDG PET and 3D MR (SPGR) images were obtained and aligned to ICBM space for 15 normal subjects. Each image was further elastically warped in 2D parameter space of the cortical surface, to align major cortical sulci. For each point within a 15 mm distance of the cortex, the value of the PET intensity was averaged to give a cortical surface map of FDG uptake. The average PET values on the cortical surface map were calculated for each cortical point in a lobe, and were compared to those obtained by averaging across the entire ROIs on the 3D PET image directly. The average regional values obtained from the cortical surface map were found to match well with those taken directly from the 3D PET images. The results demonstrate that cortical surface maps of FDG PET images give accurate quantitative information on regional brain function, in addition to offering an improved visualization.

关键词： Imaging systems

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visualization of Retrieved Positive data Using Blending Function

Visualization of Retrieved Positive Data Using Blending Func...

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International conference on Information and Communication Technologies (ICICT)

作者： M. Shoaib Habib-ur-Rehman A.A. Shah Department of Computer Science and Engineering University of Engineering and Technology Lahore Pakistan

data visualization is an important technique used in data mining. We present the retrieved data into visual format to discover features and trends inherent to the data. Some features of the data to be retrieved are already known to us. visualization should preserve these known features inherent to the data. Positivity is one such known feature that is inherent to most of the scientific and business data sets. For example, mass, volume and percentage concentration are meaningful only when they are positive values. However certain visualization techniques do not guarantee to preserve this feature while constructing visualization of retrieved data sets that are inherently positive. This research present a solution to the problem of positivity while visualizing the retrieved positive data sets.

关键词： data visualization Information retrieval Interpolation Mathematical model Optical design Algorithm design and analysis Optical scattering Testing Robustness Computer science

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visualization analysis of Land Use Dynamics and Landscape Type Transitions in the Yangtze River Delta Based on Geographic Information Big data 9

Visualization Analysis of Land Use Dynamics and Landscape Ty...

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9th IEEE International conference on Computational Intelligence and Applications, ICCIA 2024

作者： Zhang, Wei Zhai, Duanqiang Mao, Yanyun School of Architecture Tianjin University Tianjin China Zhejiang University Hangzhou ZJU-STEC Urban Development and Planning Innovation Joint Research Center Zhejiang China College of Architecture and Urban Planning Tongji University Shanghai China Shanghai Tongji Urban Planning & Design Institute Co. Ltd. Shanghai China Urban Mobility Institute Tongji University Shanghai China

ISBN: (纸本)9798350352214

Studying the spatiotemporal changes in land use and landscape types is a crucial method for analyzing human utilization of natural resources. Geographic information big data analysis can effectively enhance rational land resource allocation and improve the utilization rate of territorial space resources. With China's rapid socio-economic development in recent years, significant changes in land use and landscape types have occurred in many regions, profoundly impacting urban construction and development. Taking the Yangtze River Delta in China as an example, this study proposes a method for visualizing land use dynamics and landscape type transitions based on geographic information big data and applies it to an empirical analysis from 2000 to 2020. The study shows a continuous increase in construction land, a decline in arable land, a slight decrease in forest land, and scattered, insignificant changes in grassland and water bodies. The main areas of landscape type transitions are around Taihu Lake and Hangzhou Bay, with the largest transition type being the conversion of arable land to construction land, severely affecting agricultural space. Future land use patterns should focus on balancing urban development with the protection of ecological and agricultural spaces. © 2024 IEEE.

关键词： Abiotic

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User evaluations of interactive multimodal data presentation

User evaluations of interactive multimodal data presentation

引用

International conference on Information Visualisation (IV)

作者： V. Salvador R. Minghim H. Levkowitz Institute of Mathematics and Computer Science University of São Paulo Brazil University of Massachusetts Lowell USA University of Massachussetts Lowell USA

A set of user evaluation studies were performed to test hypotheses about the efficacy and value of the use of sonification by itself and together with visualization to improve the process of interactive data exploration. Our results show that, in some cases, sonification yielded more accurate analysis results than visualization, and when combined with visualization, yield much better results than either one (visualization or sonification) yielded separately. That supports sonification as a valuable and promising tool that should be further studied as a complement to visualization systems.

关键词： data visualization Mathematics Computer science Performance evaluation Testing data analysis Performance analysis Information analysis Guidelines Demography

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Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 conference, NIPS 2004

Advances in Neural Information Processing Systems 17 - Proce...

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18th Annual conference on Neural Information Processing Systems, NIPS 2004

ISBN: (纸本)0262195348

The proceedings contain 207 papers. The topics discussed include: two-dimensional linear discriminant analysis;efficient kernel machines using the improved fast Gauss transform;temporal-difference networks;an auditory paradigm for brain-computer interfaces;a large deviation bound for the area under the ROC curve;intrinsically motivated reinforcement learning;inference, attention, and decision in a Bayesian neural architecture;the power of selective memory: self-bounded learning of prediction suffix trees;Markov networks for detecting overlapping elements in sequence data;machine learning applied to perception: decision-images for gender classification;sampling methods for unsupervised learning;intrinsically motivated reinforcement learning;active learning for anomaly and rare-category detection;parametric embedding for class visualization;and instance-based relevance feedback for image retrieval.

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Urban reconnaissance with an airborne laser radar

Urban reconnaissance with an airborne laser radar

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conference on Laser Radar Technology and Applications X

作者： Morrison, RA Turner, JT Barwick, M Hardaway, GM Geo Spatial Technol Inc Lorton VA 22079 USA

ISBN: (纸本)0819457760

Over the past five years the potential utility for 3-D laser radar (LIDAR) to support urban warfare initiatives has grown rapidly. Currently, every major U.S. defense agency, Supporting geo-spatial analysis and urban warfare, is now actively using or investigating the potential for high-resolution 3-D LIDAR terrain in future operations. Airborne LIDAR data are now commonly collected with an average spatial posting of I meter to 5 cm. The Joint Programs, Sustainment and Development Project Office (JPSD-PO) has contributed significantly to the rapid collection of high-resolution urban terrain using LIDAR sensor technology. JPSD has collected LIDAR data in Support of Department of Defense activities throughout the world. Currently, the Urban Recon ACTD is creating the next generation LIDAR sensors for use in tactical environments. Advancements in flash LIDAR data collection and the integration of a complete LIDAR sensor under the Urban Recon ACTD will be examined.

关键词： flash LIDAR urban recon ACTD rapid terrain visualization ACTD

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User interface design of interactive data mining in parallel environment

User interface design of interactive data mining in parallel...

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Proceedings of the International conference on Active Media Technology, AMT

作者： Z. Liu X. Ren C. Zhang Nagasaki Institute of Applied Science Japan Kochi University of Technology Japan Kumamoto University Japan

A useful data mining not only be efficient, but also be effective. For data mining algorithms, especially for classification, cluster analysis, decision tree, etc., an interactive processing between machine and user is necessary. Applying parallel and distributed computing technology, the object of efficient data mining can be reached. Together with parallel visualization platform, an interactive interface is essential in interactive data mining. In this paper, a scheme of interactive data mining support system in parallel computing environment is described. The design of interface in the system is illustrated.

关键词： User interfaces data mining Classification algorithms Clustering algorithms Classification tree analysis Algorithm design and analysis Decision trees Distributed computing data visualization Parallel processing

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Water environmental management with the aid of remote sensing and GIS technology

Water environmental management with the aid of remote sensin...

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conference on Multispectral and Hyperspectral Remote Sensing Instruments and Applications II

作者： Chen, XL Yuan, ZZ Li, YS Song, H Hou, YZ Xu, ZH Liu, HH Wai, OWH Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China

ISBN: (纸本)0819456160

Water environment is associated with many disciplinary fields including sciences and management which makes it difficult to study. Timely observation, data getting and analysis on water environment are very important for decision makers who play an important role to maintain the sustainable development. This study focused on developing a plateform of water environment management based on remote sensing and GIS technology, and its main target is to provide with necessary information on water environment through spatial analysis and visual display in a suitable way. The work especially focused on three points, and the first one is related to technical issues of spatial data organization and communication with a combination of GIS and statistical software. A data-related model was proposed to solve the data communication between the mentioned systems. The second one is spatio-temporal analysis based on remote sensing and GIS. Water quality parameters of suspended sediment concentration and BOD5 were specially analyzed in his case, and the results suggested an obvious influence of land source pollution quantitatively in a spatial domain. The third one is 3D visualization of surface feature based on RS and GIS technology. The Pearl River estuary and HongKong's coastal waters in the South China Sea were taken as a case in this study. The software ARCGIS was taken as a basic platform to develop a water environmental management system. The sampling data of water quality in 76 monitoring stations of coastal water bodies and remote sensed images were selected in this study.

关键词： water environmental management system remote sensing GIS suspended sediment BOD5 level spatio-temporal analysis the Pearl River estuary and Hong Kong's coastal waters

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visualization: detecting societal behaviors

Visualization: detecting societal behaviors

引用

MILCOM, Military Communications conference

作者： E. Koutsofios R. Truscott AT and T Research Laboratories Florham Park NJ USA

An interesting area of study has been developing technologies to assist knowledge discovery with the human in the loop. It has been our experience that humans are adept at discovering patterns and anomalies, while automated systems are preferred for managing the found anomalies. It has also been our view that tools intrinsically limit the questions that can be asked, and therefore limit what can be understood about data. A particular niche we have investigated is the detection of societal behaviors, or ripples, in response to external events. The goal is to detect ripples as surrogates for the underlying event. A societal ripple is a change in personal activities or transactions. These ripples may be found in many data streams including retail transactions and communications. We have developed a data fusion, analysis and visualization prototype internally named SWIFT. This technology provides a data agnostic platform that can fuse multiple real-time data streams, provide connectivity to analysis capabilities and view current and historical animations of selected data dimensions. By applying this technology we can observe how society reacts to certain events and how behaviors differ between various events. By enabling interactive investigation of anomalies with a 100% sampling of data, we have discovered many hidden anomalies that are beneath the "radar screen"

关键词： data visualization Humans Information analysis Pattern analysis Displays data mining Event detection data analysis Prototypes Web pages

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Electrical thunderstorm nowcasting using lightning data mining

Electrical thunderstorm nowcasting using lightning data mini...

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7th International conference on data, Text and Web Mining and Their Business Application and Management Information Engineering

作者： Vasconcellos, C. A. M. Curotto, C. L. Benetti, C. Sato, F. Pinheiro, L. C. SIMEPAR Technological Institute Brazil PPGCC/UFPR Federal University of Paraná Brazil

ISBN: (纸本)1845641787

This paper presents a study developed at SIMEPAR (Parana state weather service) using lightning data for electrical thunderstorm nowcasting. Thunderstorm electrical data collected at SIMEPAR such as lightning location, time of occurrence, current intensity, polarity, etc, are stored in real-time in a relational database. As a first step of this study, Microsoft Business Intelligence bundled with SQL Server 2005 Beta was used to access some of these data and create lightning clusters representing electrical thunderstorms. The clusters were continuously monitored to predict electrical thunderstorm displacement and evolution. Work was undertaken to assess suitability and reliability to the process. Algorithm parameters fitting and cases studies are under development and further work will be done using Weka clustering classes. Once approved, the methodology will be integrated to SisRaios - a Java lightning data visualization, analysis and thunderstorm monitoring and forecasting tool (presented in this paper). It is expected that this computational tool enhanced by the data mining study will aid meteorologists and power companies to monitor electrical thunderstorms, supplying information for starting up maintenance teams, as well as providing a better thunderstorm warnings in general and improving SIMEPAR's nowcasting capabilities.

关键词： data mining clustering lightning SQL Server Weka

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