WUIma -which stands for Wildland-Urban Interface MAPping-is a software tool based on a GIS model （developped with Arcgis functions） designed to map wildland-urban interfaces at a large scale over a large area. The m...WUIma -which stands for Wildland-Urban Interface MAPping-is a software tool based on a GIS model （developped with Arcgis functions） designed to map wildland-urban interfaces at a large scale over a large area. The main outputs of WUImap are： （1） the map of twelve types of wildland-urban interfaces existing on the territory; （2） the map of four housing configuration （isolated, scattered, dense and very dense clustered housing） related to wildland-urban interfaces （WUI）. These maps are produced according to the method of WUI characterization combining housing configuration and horizontal structure of vegetation. Required inputs to map WUI are the layer of the residential house, the layer defining the fire sensitive area and the layer of the index of aggregation calculated on vegetation. The method of WUI characterization and mapping incorporated into WUImap has been evaluated and applied on real cases with good results. WUlmap has applicability as a decision support aid in a wide variety of land management ranging from fire management and fire prevention to analysis of WUI spread and land cover dynamic. The core method underlying the WUlrnap is summarized in the present paper.展开更多
Recognizing the drawbacks of stand-alone computer-aided tools in engineering, several hybrid systems are suggested with varying degree of success. In transforming the design concept to a finished product, in particula...Recognizing the drawbacks of stand-alone computer-aided tools in engineering, several hybrid systems are suggested with varying degree of success. In transforming the design concept to a finished product, in particular, smooth interfacing of the design data is crucial to reduce product cost and time to market. Having a product model that contains the complete product description and computer-aided tools that can understand each other are the primary requirements to achieve the interfacing goal. This article discusses the development methodology of hybrid engineering software systems with particular focus on application of soft computing tools such as genetic algorithms and neural networks. Forms of hybridization options are discussed and the applications are elaborated using two case studies. The forefront aims to develop hybrid systems that combine the strong side of each tool, such as, the learning, pattern recognition and classification power of neural networks with the powerful capacity of genetic algorithms in global search and optimization. While most optimization tasks need a certain form of model, there are many processes in the mechanical engineering field that are difficult to model using conventional modeling techniques. The proposed hybrid system solves such difficult-to-model processes and contributes to the effort of smooth interfacing design data to other downstream processes.展开更多
文摘WUIma -which stands for Wildland-Urban Interface MAPping-is a software tool based on a GIS model （developped with Arcgis functions） designed to map wildland-urban interfaces at a large scale over a large area. The main outputs of WUImap are： （1） the map of twelve types of wildland-urban interfaces existing on the territory; （2） the map of four housing configuration （isolated, scattered, dense and very dense clustered housing） related to wildland-urban interfaces （WUI）. These maps are produced according to the method of WUI characterization combining housing configuration and horizontal structure of vegetation. Required inputs to map WUI are the layer of the residential house, the layer defining the fire sensitive area and the layer of the index of aggregation calculated on vegetation. The method of WUI characterization and mapping incorporated into WUImap has been evaluated and applied on real cases with good results. WUlmap has applicability as a decision support aid in a wide variety of land management ranging from fire management and fire prevention to analysis of WUI spread and land cover dynamic. The core method underlying the WUlrnap is summarized in the present paper.
文摘Recognizing the drawbacks of stand-alone computer-aided tools in engineering, several hybrid systems are suggested with varying degree of success. In transforming the design concept to a finished product, in particular, smooth interfacing of the design data is crucial to reduce product cost and time to market. Having a product model that contains the complete product description and computer-aided tools that can understand each other are the primary requirements to achieve the interfacing goal. This article discusses the development methodology of hybrid engineering software systems with particular focus on application of soft computing tools such as genetic algorithms and neural networks. Forms of hybridization options are discussed and the applications are elaborated using two case studies. The forefront aims to develop hybrid systems that combine the strong side of each tool, such as, the learning, pattern recognition and classification power of neural networks with the powerful capacity of genetic algorithms in global search and optimization. While most optimization tasks need a certain form of model, there are many processes in the mechanical engineering field that are difficult to model using conventional modeling techniques. The proposed hybrid system solves such difficult-to-model processes and contributes to the effort of smooth interfacing design data to other downstream processes.
