This book systematically expounds on the scientific principles and technologies of Rail Transit Intelligent Technology based on the high development of artificial intelligence theory and technology. The contents include technical principles, theoretical algorithms and practical engineering technologies of intelligent monitoring of rail transit system, intelligent sensing and identification of train power system, intelligent technology in rail transit system operation, intelligent maintenance of carriage environment, etc. It can be used as a textbook or teaching reference book for related fields in universities, including rail transit system, communication, automation, intelligent equipment design and manufacturing, artificial intelligence, computer science and technology, electrical engineering and automation, etc. It is used as an academic reference for professionals in rail transit system design, operation, and maintenance.
This book discusses the principle of automotive intelligent technology from the point of view of modern sensing and intelligent control. Based on the latest research in the field, it explores safe driving with intelligent vision; intelligent monitoring of dangerous driving; intelligent detection of automobile power and transmission systems; intelligent vehicle navigation and transportation systems; and vehicle-assisted intelligent technology. It draws on the author’s research in the field of automotive intelligent technology to explain the fundamentals of vehicle intelligent technology, from the information sensing principle to mathematical models and the algorithm basis, enabling readers to grasp the concepts of automotive intelligent technology. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students.
Master's Thesis from the year 2008 in the subject Agrarian Studies, grade: A, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi (UAAR), course: MSc (Hons) Agri.Economics, language: English, abstract: Water is a limiting factor for sustainable agriculture in Barani (Arid). However, rainfall is the only source of water the spatial and temporal variation of which is very high. Therefore conservation and management of this source is vital for agriculture development and socio-economic uplift of the area. This study was, mainly, devised to address land distribution problems and consequent farm productivity in the study area. Furthermore, level of land distribution disparities was focused on to observe its relationship with different on-farm and socio-economic indicators including gross margins, cropping intensity crop diversity, income distribution disparities and institutional credit availability etc. All of the aforesaid indicators were also assessed for small, medium and large farm size categories. The farmers were divided into two main categories irrigated and rainfed farmers. Land was observed evenly distributed in irrigated area while land distribution was found most skewed in rainfed area. The performance of most of the indicators i.e. yield, gross margins, farm income, labour productivity, income distribution, cropping intensity and crop diversity was found better in irrigated as compared to rainfed. While marginal factor productivity, irrigation productivity and rate of institutional credit availability was higher in irrigated area. However, rainfed area was always least efficient with respect to all of the quantified indicators. The findings of the research are helpful for the farmers of the study area in decision making among different farm enterprises. Hence it can alleviate poverty and help to bring food security in the deprived regions.
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