conceptualmodeling (CM) is the main phase in simulation studies to find an appropriate abstracted representation of a system, which can then be used for simulation implementation. CM still faces ongoing problems, suc...
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While artificial intelligence promises a wide range of potential for businesses, its adoption poses major problems for some organizations. This paper presents a modelingframework that aims to specify AI use cases. It...
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ISBN:
(纸本)9783031713323;9783031713330
While artificial intelligence promises a wide range of potential for businesses, its adoption poses major problems for some organizations. This paper presents a modelingframework that aims to specify AI use cases. It models three views: Business, data and analytics, that are adopted for the requirements of AI. The framework was applied in a real-world case study leading to several AI use cases and two proof of concepts. While the business view is a useful tool to derive ideas for AI use cases in general, the data and analytics views are very specific to each use case. The framework serves as a means to an end to communicate the project goals, deliver practical guidance and to capture the main results. As its application is time consuming and challenging, this paper closes with guidelines for its efficient use in practice.
Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous mod...
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Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twins entire lifecycle.
A general modelingframework is presented for developing sediment process models by concentrated flow systems on small watersheds. A survey of fundamental principles for developing sediment process models is made with...
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A general modelingframework is presented for developing sediment process models by concentrated flow systems on small watersheds. A survey of fundamental principles for developing sediment process models is made with particular emphasis on the effects of space and time averaging on the governing equations. Starting from the most general one-dimensional. unsteady model of sediment processes, simpler model structures are obtained and the successive simplifications made on the governing equations in order to obtain simpler and less detailed formulations are described. Examples of computer implementations of the different approaches using specific formulations are given. Al-though some progress has been made in modeling sediment processes by concentrated flow on small watersheds. the development of improved modeling approaches should be based on better understanding of runoff mechanisms and sediment processes as functions of space and time scales over a wide range of climatic and land-use conditions. Identification and quantification of differences and similarities of watershed behavior remain important and active areas of experimental research on process-based sediment modeling. Future research priorities in the area of runoff and sediment process modeling must address the development of boundary conditions; model components (system complexity); the scales over which the equations are valid: and integration of the equations in space and time.
A conceptual modeling framework for developing process-based mathematical models of sediment generation, transport, and deposition on broad shallow flow areas is presented. The governing equations relevant to process-...
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A conceptual modeling framework for developing process-based mathematical models of sediment generation, transport, and deposition on broad shallow flow areas is presented. The governing equations relevant to process-based modeling of broad shallow flow sediment processes on small watersheds are presented and the effects of space and time averaging on the predictive equations are described. Starting from the most general one-dimensional, unsteady model of sediment processes, simpler model structures are obtained and the successive simplifications made on the governing equations in order to obtain simpler and less detailed formulations are described. Specific model formulations are given for illustrative purposes and applications of these models to erosion and sediment yield prediction from broad shallow flow areas are shown using sediment data from rainfall simulator plots. In spite of some progress made in the development of process-based erosion and sediment yield models from broad shallow flow areas, further developmental modeling efforts must be based on a clear separation between hydrologic and hydraulic processes, and the soil properties which are significant for each.
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