A low cost progress data collection technique for construction projects using time-lapse photography or real-time videotaping can provide a wealth of spatial and temporal information for progress data collection. The ...
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ISBN:
(纸本)9780415460590
A low cost progress data collection technique for construction projects using time-lapse photography or real-time videotaping can provide a wealth of spatial and temporal information for progress data collection. The benefits of using photographs would be maximized if the progress deviations between planned and actual (as-built) performance are visually shown on these photographs. The importance of such visual representation of construction progress is well understood when the participation of diverse parties with different levels of expertise (from owners to subcontractors) is considered. Current formats of monitoring reports (e.g. textual progress reports, progress graphs or charts) may not properly and quickly communicate progress situations and would make understanding of the progress situation difficult. Current methods of monitoring require manual data collection and extensive data extraction from construction documents making progress monitoring a time-consuming process and distracts managers from the important task of decision making. As an effort to address this issue, a visual representation of construction progress is proposed that aims to picture the progress situation on time-lapse photographs (representing actual progress), superimpose the planned progress (obtained from the 4D as-planned model), and provide the clear comparison in an augmented reality environment between as-planned and as-built progress. A series of visualization techniques (e.g. colour and colour gradient) is developed to communicate and visualize detected discrepancies and progress performance metrics. Schedule deviations, construction sequence, budget distribution and earned value analysis metrics (cost performance and schedule performance indices) are also visualized. These techniques if automated could accurately and quickly communicate the progress situation on photographs and provide a powerful tool for prompt progress control decision making.
analysis of gene expression patterns within an organism plays a critical role in associating genes with biological processes in both health and disease. During embryonic development the analysis and comparison of diff...
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ISBN:
(纸本)9780819466198
analysis of gene expression patterns within an organism plays a critical role in associating genes with biological processes in both health and disease. During embryonic development the analysis and comparison of different gene expression patterns allows biologists to identify candidate genes that may regulate the formation of normal tissues and organs and to search for genes associated with congenital diseases. No two individual embryos, or organs, are exactly the same shape or size so comparing spatial gene expression in one embryo to that in another is difficult. We will present our efforts in comparing gene expression data collected using both volumetric and projection approaches. Volumetric data is highly accurate but difficult to process and compare. Projection methods use UV mapping to align texture maps to standardized spatial frameworks. This approach is less accurate but is very rapid and requires very little processing. We have built a database of over 180 3D models depicting gene expression patterns mapped onto the surface of spline based embryo models. Gene expression data in different models can easily be compared to determine common regions of activity. visualization software, both Java and OpenGL optimized for viewing 3D gene expression data will also be demonstrated.
This paper addresses the discovery of sequential patterns in very large databases. Most of the existing algorithms use lattice structures in the space search that are very demanding computationally. The output of thes...
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ISBN:
(纸本)9783540770008
This paper addresses the discovery of sequential patterns in very large databases. Most of the existing algorithms use lattice structures in the space search that are very demanding computationally. The output of these algorithms generates a large number of rules. The aim of this work is to create a swift algorithm for the discovery of sequential patterns with a low time complexity. In this work, we also want to define tools that allow us to simplify the work of the final user, by offering a new visualization of the sequences, while bypassing the analysis of thousands of association rules.
This paper addresses the issue of precisely locating boundaries of water masses in the oceanic water mass analysis. A novel computational topology-based solution is presented. First, employing the concept of multidime...
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ISBN:
(纸本)9781424415786
This paper addresses the issue of precisely locating boundaries of water masses in the oceanic water mass analysis. A novel computational topology-based solution is presented. First, employing the concept of multidimensional transfer functions, the sampled data of temperature and salinity in investigated area are transformed into a feature function of water masses that represents the variation ratio distribution of temperature and salinity on the domain. Then, a 2-manifold Morse-Smale decomposition over this domain is made to produce boundaries among the different water masses automatically. The results of some comparative experiments verified effectiveness and objectivity of the presented method, and its much better accuracy and efficiency.
Computational Vision and Medical Image Processing contains keynote lectures and full papers presented at VIPIMAGE 2007 1st ECCOMAS Thematic conference on Computational Vision and Medical Image Processing, held in Port...
ISBN:
(纸本)9780415457774
Computational Vision and Medical Image Processing contains keynote lectures and full papers presented at VIPIMAGE 2007 1st ECCOMAS Thematic conference on Computational Vision and Medical Image Processing, held in Porto, Portugal, in October 2007. International contributions from fourteen countries provide comprehensive coverage of the current state-of-the-art in - 3D Reconstruction - Computational Bioimaging and visualization - Computer Aided Diagnosis, Surgery, Therapy, and Treatment - data Interpolation, Registration, Acquisition and Compression - Image Processing and analysis - Image Segmentation - Medical Imaging - Motion and Deformation analysis - Objects Simulation - Objects Tracking - Signal Processing - Software Development - Telemedicine Systems and their Applications Related techniques covered include the finite element method, modal analyses, stochastic methods, principal and independent components analyses, and distribution models. The book will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics and Medicine.
Information Visualisation (InfoVis) is defined as an interactive visual representation of abstract data. We view the user's interaction with InfoVis tools as an experience which is made up of a set of highly deman...
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The proceedings contain 42 papers. The topics discussed include: enriched diagnosis and investigation models for security event correlation;BTM-an automated rule-based BT monitoring system for piracy detection;an inve...
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ISBN:
(纸本)0769529119
The proceedings contain 42 papers. The topics discussed include: enriched diagnosis and investigation models for security event correlation;BTM-an automated rule-based BT monitoring system for piracy detection;an investigation of cybercrime-related online search behaviors vs general search behavior;large scale activity monitoring for distributed honeynets;visualization of network traffic using dynamic co-occurrence matrices;a comparison of SYN flood detection algorithms;a management platform for tracking cyber predators in peer-to-peer networks;fraud/privacy protection in anonymous auction;emergency alerts as RSS feeds with interdomain authorization;performance analysis in IP over WDM networks;protocol to support multi-domain auditing of internet-based transport services;efficient probing techniques for fault diagnosis;non-repudiable service usage with host identities;and a model supporting business continuity auditing and planning in information systems.
A variation to the analysis of phase data achieved with spectral domain optical coherence tomography (SDOCT) is presented. By using the variance of the phase changes observed in the OCT images, scatterer motion has be...
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ISBN:
(纸本)9780819465429
A variation to the analysis of phase data achieved with spectral domain optical coherence tomography (SDOCT) is presented. By using the variance of the phase changes observed in the OCT images, scatterer motion has been imaged which is not readily observable with conventional Doppler OCT techniques. Dynamic motion contrast has been demonstrated for imaging Brownian motion of a sample system as well as imaging vasculature of in vivo 3dpf zebrafish.
Texture analysis and classification of soft tissues in Computed Tomography (CT) images recently advanced with a new approach that disambiguates the checkboard problem where two distinctly different patterns produce id...
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ISBN:
(纸本)9780819466303
Texture analysis and classification of soft tissues in Computed Tomography (CT) images recently advanced with a new approach that disambiguates the checkboard problem where two distinctly different patterns produce identical co-occurrence matrices, but this method quadruples the size of the feature space. The feature space size problem is exacerbated by the use of varying sized texture operators for improving boundary segmentation. Dimensionality reduction motivates this investigation into systematic analysis of the power of feature categories (Haralick descriptors, distance, and direction) to differentiate between soft tissues. The within-organ variance explained by the individual components of feature categories offers a ranking of their potential power for between-organ discrimination. This paper introduces a technique for combining the Principal Component analysis (PCA) results to compare and visualize the explanatory power of features with varying window sizes. We found that 1) the two Haralick features Cluster Tendency and Contrast contribute the most;2) as distance increases, its contribution to overall variance decreases;and 3) direction is unimportant. We also evaluated the proposed technique with respect to its classification power. Linear Discriminant analysis (LDA) and Decision Tree (DT) were used to produce two classification models based on the reduced data set. We found that using PCA either fails to improve or markedly degrades the classification performance of LDA as well as of the DT model. Though feature extraction for classification shows no promise, the proposed technique offers a systematic mechanism to compare feature reduction strategies for varying window sizes as well as other measurement techniques.
The Scholarly database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. This database focuses on suppor...
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The Scholarly database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. This database focuses on supporting large studies of changes in science over time and communicating findings via knowledge-domain visualizations. The database currently provides access to around 18 million publications, patents, and grants, ten percent of which contain full-text abstracts. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed format using either a web-based or relational database client. This paper motivates the need for the database from bibliometric and scientometric perspectives (Cronin & Atkins, 2000;White & McCain, 1989). It explains the database design, setup, and interfaces as well as the temporal, geographical, and topic coverage of datasets currently served. Planned work and the potential for this database to become a global test bed for information science research are discussed.
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