9514355
Integration of Multi-Source Spatial Information for Coastal Management and Decision Making
This paper presents the second-year outcomes of our Digital Government project "Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis". One of the primary objectives of the second year is to develop and integrate multiple spaceborne, airborne, and in-situ remotely sensed measurements, spatio-temporal databases, coastal hydrological modeling, and geospatial information analysis for coastal management and decision making. The developed coastal management and decision-making system includes applications for coastal mapping and change detection, water surface modeling and analysis, on-site coastal management and decision-making, and web-based spatial data manipulation. Studies have also been conducted on uncertainties in the used coastal spatial data. The above system has been tested at a pilot site along Ohio's Lake Erie shore and is to be applied to a new test site in Tampa Bay, Florida.
2594812
Evaluation of the Geopositioning Accuracy of QuickBird Imagery
QuickBird satellite imagery, provided by DigitalGlobe Inc., has the highest resolution, among the satellite imaging systems that are commercially available. The QuickBird imaging system simultaneously collects 67-72 centimeter resolution stereo panchromatic and 2.44-2.88 meter resolution multispectral images. In this research, a QuickBird stereo pair of basic imagery product that was taken over Tampa Bay, FL, was acquired and its geopositioning accuracy evaluated based on Rational Function (RF) models.
46225184
Spatial Technologies for Coastal Management
This demonstration will be presented at the 2004 National Conference on Digital Government Research. The third year results of the project "Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis" will be presented. Mobile wireless communications, internet web services, and web GIS are integrated into a web-based decision-making system for coastal management. Employing three-dimensional visualization technology, athe system also provides a visualization tool for multisource spatial-temporal data integration and uncertainty analysis. Also demonstrated is an interactive QuickBird image processing subsystem used for high resolution DEM and three-dimensional shoreline extraction of Tampa Bay.The goal of this project is to develop technologies to enhance the operational capabilities of federal, state, and local agencies responsible for coastal management and decision making. The pilot test site is along the Lake Erie coastline from Port Clinton to East Cleveland, Ohio. Research strategies are currently being applied to Painesville, OH and Tampa Bay, Florida. The demonstration will include the following sections.
7219842
Accurate Curvilinear Modeling for Precise Measurements of Tubular Structures
Accurate curvilinear models of tubular structures are essential for the precise measurements and description of those structures. Two major obstacles to obtaining an accurate curvilinear model from a three-dimensional (3D) image are tortuosity of the tubular structure and interferences from such sources as foreign entities in the neighborhood, pathological deformation and artifacts. Using existing algorithms, the tortuosity and interferences can give rise to models that tend to significantly distort subsequent length and angle measurements. In this paper, we describe a novel approach that overcomes those obstacles by combining a knowledge-embedding model with a front propagation method. We then demonstrate the effectiveness of our method through its potential applications in path planning and measurement for minimally invasive diagnosis and treatment purposes.
12450253
Towards a Visual Programming Environment Based on ITK for Medical Image Analysis
Medical image analysis experiments usually require a certain level of programming skills and are often time-consuming. Visual programming can address these issues by providing a high-level user interface to visually access and combine underlying medical image analysis functionalities. This paper describes the ITKBoard, an extension of the Insight Toolkit for Registration and Segmentation (ITK). Unlike traditional approaches, ITKBoard, a visual tool for experimentation and prototyping, allows rapid visual construction of filter pipelines, via a graphical user interface. An overview of the main functionalities and the system design is presented in this paper. The approaches that we have developed to resolving critical issues such as pipeline handling, automatic object wrapping and plugin mechanism are discussed in detail. This is a first step towards a visual programming environment designed for medical image analysis, in which the specific needs in terms of visual data-flow and control-flow programming will be progressively addressed. It is envisaged that when the software is released in the near future it will be significantly beneficial to the medical image analysis community.
13976225
WebPeer: A P2P-based system for publishing and discovering Web services
The use of Web services as an infrastructure of service sharing has made it possible to provide collaboration and interoperability in distributed computing environment. In this environment, service publishing and discovery are required as elementary functionalities for users to be able to locate the shared resources. The mechanism of service publishing and discovery with centralized architecture restricts the reliability and scalability of the distributed computing environment as the services and resources on the Web are fast emerging. The peer-to-peer (P2P) systems and applications, on the other hand, employ distributed resources to perform critical functions in a decentralized manner. This paper introduces Web Services Oriented Peer-to-peer (WSOP) architecture with a combination of centralized and decentralized characteristics, and presents a framework of service publishing and discovery model based on WSOP architecture. The prototype system - WebPeer implemented based on this model demonstrates the WSOP architecture can not only help to overcome the known obstacles in common Web Services infrastructure such as single node failure, but also extend the ability of the pure P2P systems, such as more efficiently locating the resources, increasing the interoperability between different P2P systems.
205481363
A new sufficient condition for Hamiltonicity of graphs
Rahman and Kaykobad proved the following theorem on Hamiltonian paths in graphs. Let G be a connected graph with n vertices. If d(u)+d(v)+δ(u, v) ≥ n+1 for each pair of distinct non-adjacent vertices u and v in G, where δ(u, v) is the length of a shortest path between u and v in G, then G has a Hamiltonian path. It is shown that except for two families of graphs a graph is Hamiltonian if it satisfies the condition in Rahman and Kaykobad's theorem. The result obtained in this note is also an answer for a question posed by Rahman and Kaykobad.
14672206
Using marker-based deformable models for deriving anatomical models from medical image databases
The outcome of the application of a deformable model is dependent on its initialization and parameter settings. This is an obstacle to robust automatic segmentation. An approach to reducing the dependences is proposed in this paper based on geodesic topographic distance transforms from two manually or automatically placed markers. This is a novel method that uses object and background differentiation in deformable models via watershed theories. The implementation is based on efficient numerical methods. Experiments have shown that it is a highly promising approach. This approach has been applied to the determination of tissue characteristics in early childhood using a CT database of neonates. We believe that by relaxing dependences on the initialization and parameters this approach will enable a degree of automation needed for segmentation-based construction of organ models from large image databases, particularly when the markers can be determined automatically on the basis of a priori knowledge