Detailed tree information, such as tree counts, tree heights, crown base heights, diameter at breast height (DBH), and tree biomass, is critical for the effective management and quantitative analysis of trees in urban...
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Detailed tree information, such as tree counts, tree heights, crown base heights, diameter at breast height (DBH), and tree biomass, is critical for the effective management and quantitative analysis of trees in urban area. Automatic detection of trees, and their parameters using light detection and ranging (LiDAR) data has been widely employed. However, at the single-tree level along road in urban area, LiDAR data deposed the disadvantages such as space points, no texture information, so that the detailed tree parameters mentioned above cannot successfully be obtain at enough accuracy. This paper presented an integration of LiDAR data and ground mobile truck data. This development is driven by the fact that the information obtained from ground-mobile truck images can be substantially complemented by the data from LiDAR.
Current standards for interoperability and composability focus on mandating a common information exchange data model. The Levels of Conceptual Interoperability Model (LCIM) shows that this is not sufficient. A second ...
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ISBN:
(纸本)9781622763580
Current standards for interoperability and composability focus on mandating a common information exchange data model. The Levels of Conceptual Interoperability Model (LCIM) shows that this is not sufficient. A second challenge is that the mapping between system-internal representations to the information exchange data model is left to system developers leading to misinterpretations and ambiguous information exchange. Model-based Data engineering (MBDE) replaces this with an engineering process. Both ideas together motivate the hypothesis that selforganizing information exchange is possible if the system interfaces and behaviors are captured in machineunderstandable meta-information.
modeling and simulation (M&S) has been a proven and integral part of training for many of the science and engineering disciplines. Conversely, few in the liberal arts have dared to investigate how this tool can en...
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ISBN:
(纸本)9781604239232
modeling and simulation (M&S) has been a proven and integral part of training for many of the science and engineering disciplines. Conversely, few in the liberal arts have dared to investigate how this tool can enhance, in essence bring to virtual reality, their disciplines. This paper will first present a succinct discussion of modeling and simulation;what it is, how it has evolved as a technology, and where its use is most prevalent as a teaching tool. Second, there will be an examination of some recent cases where modeling and simulation has been incorporated in the study of political science, history, religion, and communications. Bridging the virtual divide requires a mutual effort on the part of the instructors in the classroom and the simulationists creating the virtual environment. The final portion of this paper will address the capabilities and limitations of modeling and simulation from the simulationist's perspective. Communication is key to bridging the divide between the liberal arts disciplines and M&S. Furthermore, in order to enable the use of M&S with the same ease and functionality as using email, the usability of M&S must be increased. One way to achieve this is the standardization of M&S components, in particular for initialization and evaluation. The paper addresses both sides of this challenge: the liberal arts disciplines and the M&S community. Both can benefit from each other and collaborations are expected to be very fruitful. Perhaps what has been construed as a divide is in essence only virtual.
SCIRun is a general purpose problem solving environment that seeks to integrate the steps of preparing, executing, and visualizing simulations of physical and biological systems. The implementation of SCIRun is by mea...
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SCIRun is a general purpose problem solving environment that seeks to integrate the steps of preparing, executing, and visualizing simulations of physical and biological systems. The implementation of SCIRun is by means of an interactive dataflow network consisting of modules and data pipes exposed as a visual programming language. SCIRun also contains specific modules for bioelectric field simulations and visualizations and the combination of SCIRun with this package is known as BioPSE (***/software/biopse). This software has been in the public domain since 2000 and in that time we have developed strategies for software development, engineering, testing, documentation, and training. We have also continued to expand the scope of the SCIRun/BioPSE package not only through our own codes but by constructing bridges to other systems, both open source and proprietary. We have also created a repository for relevant sample networks and datasets with the aim of allowing diverse groups to test and evaluate algorithms using identical data and to share their results with the community for comparison of performance and accuracy. We present here a summary of the software system and describe specific experiences and conclusions with regard to creating and managing a large open source software project carried out within a university setting.
Scalability of a low-cost, Intel Xeon-based, multi-Teraflop Linux cluster is tested for two high-end scientific applications: Classical atomistic simulation based on the molecular dynamics method and quantum mechanica...
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Scalability of a low-cost, Intel Xeon-based, multi-Teraflop Linux cluster is tested for two high-end scientific applications: Classical atomistic simulation based on the molecular dynamics method and quantum mechanica...
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Scalability of a low-cost, Intel Xeon-based, multi-Teraflop Linux cluster is tested for two high-end scientific applications: Classical atomistic simulation based on the molecular dynamics method and quantum mechanical calculation based on the density functional theory. These scalable parallel applications use spacetime multiresolution algorithms and feature computational-space decomposition, wavelet-based adaptive load balancing, and spacefilling-curve-based data compression for scalable I/O. Comparative performance tests are performed on a 1024-processor Linux cluster and a conventional higher-end parallel supercomputer, 1184-processor IBM SP4. The results show that the performance of the Linux cluster is comparable to that of the SP4. We also study various effects, such as the sharing of memory and L2 cache among processors, on the performance.
A suite of scalable atomistic simulation programs has been developed for materials research based on space-time multiresolution algorithms. Design and analysis of parallel algorithms are presented for molecular dynami...
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A suite of scalable atomistic simulation programs has been developed for materials research based on space-time multiresolution algorithms. Design and analysis of parallel algorithms are presented for molecular dynamics (MD) simulations and quantum-mechanical (QM) calculations based on the density functional theory. Performance tests have been carried out on 1,088-processor Cray T3E and 1,280-processor IBM SP3 computers. The linear-scaling algorithms have enabled 6.44-billion-atom MD and 111,000-atom QM calculations on 1,024 SP3 processors with parallel efficiency well over 90%. The production-quality programs also feature wavelet-based computational-space decomposition for adaptive load balancing, spacefilling-curve-based adaptive data compression with user-defined error bound for scalable I/O, and octree-based fast visibility culling for immersive and interactive visualization of massive simulation data.
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