Bøger af Jinfeng Wang

Applications of spatial data, coupled with geographic information systems, are finding increasing use in the disciplines of geography and geology, as well as environmental science, ecology, epidemiology, economics and the social sciences. Disciplines that are concerned with spatial variations and patterns and the relationships between such patterns. Spatial data is defined here as data where the absolute locations and/or relative spatial locations of the observations are taken into account, in addition to the values relating to the phenomena of interest. This textbook is aimed at students seeking to apply GIS and spatial data analysis and statistics to their fields of study and focuses on detecting patterns and exploring and modeling relationships between such patterns in order to understand the processes responsible for the observed patterns. It avoids an exhaustive presentation of the whole of spatial data analysis, providing instead a subset of techniques that are both accessible and of practical use. The spatial analysis techniques presented include: visualisation tools, exploratory devices and more formal model-based approaches. The data used are subdivided into four broad data types: those concerned with the location of point events (spatial point patterns); with measurements made over a set of areal units (area data); with attributes measured at sampled point locations (geostatistical data); and with the spatial interaction of flow data consisting of measurements which are associated with a link or pair of locations representing points or areas. Each chapter is accompanied by a set of examples, case studies and computer based exercises which involve real world data sets and reflect a range of applications across disciplines. A package of specially prepared software tools accompanies the book, incorporating the data sets used in the text.

This book focuses on the basic common technologies of smart manufacturing system and smart workshop. The applications of artificial intelligence in manufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. In the process of writing, this book highlights the combination of basic theory and engineering practice. In the basic theory part, the book clearly explains the basic issues of smart manufacturing system, including the core support technology of smart manufacturing, the basic theories and models of cutting parameter optimization, process optimization and scheduling, and the basic concepts and intelligence of smart manufacturing workshop model, optimization methods, etc. In the engineering practice part, this book enumerates a large number of research cases, trying to clearly demonstrate the basic problems of manufacturing system intelligence, and each chapter is accompanied by typical cases to help readers better understand and master the basic theories involved in stamping.

The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data.