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Hydrologic model setup is an important process in the whole model simulation. This study introduces an approach for hydrological simulation analysis based on extracting watershed features from DEM using Arc Hydro Tools. This method consists of two steps: firstly, extracting watershed features from DEM using Arc Hydro Tools. Then, process hydrological simulation analysis with hydrologic model HSPF...
Extracting watershed features from DEM (Digital Elevation Model) is a very important task in Hydrologic study, and also it is the pre-process of hydrological simulation analysis. This paper introduces a very useful method for Hydrological simulation analysis based on extracting watershed features from DEM using Arc Hydro Tools. Arc Hydro is a geospatial data model especially GIS for Water Resources,...
The Princeton Ocean Model (POM) is a three-dimensional baroclinic ocean model based on the original equations, using a sigma coordinate in the vertical coordinate to deal with significant topographical variability, and has been widely used for estuary and coastal ocean simulation. Wetting and drying is a common and important phenomenon of the coastal ocean, and the process could not be simulated by...
Both natural computing and fuzzy method exhibit human-like mental processing. Natural computing is the field of research that works with computational techniques inspired in part by natural systems. Fuzzy method is an alternative to traditional notions of set membership and logic, and it occurs in many applications of engineering, science and medicine. This paper presents a survey of recent advances...
The original Technology Accepted Model is always effective in forecasting the attitudes and behaviors of the staff when the new technology or new systems are applied. Because of its limited background and the particularity of 3G data services, it seems useless of the original TAM to predict and analyze consumerspsila acceptances towards 3G data services. According to the current applied status of...
In this paper, we propose a unified topic modeling approach and its integration into the random walk framework for academic search. Specifically, we present a topic model for simultaneously modeling papers, authors, and publication venues. We combine the proposed topic model into the random walk framework. Experimental results show that our proposed approach for academic search significantly outperforms...
Autonomic networking requires that the services and resources offered by the network at any specific time adapt to evolving changes in user needs, business goals and environmental conditions. This paper describes a rich and extensible context-aware policy model as part of the FOCALE autonomic network architecture. This context-aware policy model is built explicitly to support context-awareness that...
Computer intrusions are taking place everywhere, and have become a major concern for information security. Most intrusions to a computer system may result from illegitimate or irregular calls to the operating system, so analyzing the system-call sequences becomes an important and fundamental technique to detect potential intrusions. In this paper, we propose two algorithms, based on frequency patterns...
This paper describes a new version of the DEN-ng context model, and how this model in conjunction with the DEN-ng policy model can be used for more effective and flexible context management for autonomic networking. Both are part of the FOCALE autonomic network architecture. Context selects policies, which select roles that can be used, which in turn define allowed functionality for that particular...
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