In this paper, we present a general and extensible context-aware computing ontology (CACOnt) for modeling context and providing inference mechanisms. CACOnt provides not only the generic context ontologies for capturing basic concepts about context, but also the extensibility for adding domain-specific ontologies in a hierarchical manner. CACOnt facilitates the context reasoning capabilities by providing semantic logics which is possible to combine with rule-based systems. However, the set of rules cannot entirely cover the domain of contexts, we present a semantic similarity-based rule matching algorithm as the solution to this problem.

A new approach to conceptual design based on path decomposition of digraph is presented in the paper. The set of basic mechanisms is firstly defined and every single mechanism is taken as a basic element in the set. The relationships among basic elements are described with paths or loops in the graph theory. Therefore, the conceptual design can be visualized as searching a suitable loop in the set of basic mechanisms. The digraph and the path decomposition in the graph theory are applied to represent solutions of conceptual design, such as the sequence, existence and the concatenation formation and repetition. And then, an illation formula is derived and a construction tree of conceptual design process is provided. The generated schemes are further filtered using character restriction operation which followed corresponding rules, so as to identify feasible solutions. Finally, a design example is given to demonstrate the effectiveness of the proposed approach.

The image matching technology is very important technology in computer vision. It is a wide range of application areas, such as aerial image analysis, industrial inspection, and stereo vision, medical, meteorological, and intelligent robots. The article introduces several important image matching technology, and some common fast image matching usage. Propose the image fast matching method basing on local information, mainly use template matching basing on local image features to achieve, by extraction of the selected feature points (including the obvious point, corner points, edge points, edge line, etc.) extracted, and through the calculation of similarity, and by using fast matching algorithm to achieve fast and accurate image matching requirements.

The Electric Vehicle Charging and Exchanging (EVCE) station is the important infrastructure for the Electric Vehicle (EV) industry. Meanwhile, the sensing technologies can effectively obtain the key parameters from kinds of smart devices, which make it very suitable for intelligent management in EVCE station system. In this paper, according to the environment and supporting technologies for EVCE station, we introduce the sensing technologies in detail, including technologies about EV battery sensing, EV sensing, charging/exchanging station sensing and charging pile sensing, etc. Practice shows that the sensing technology can effectively improve EVCE station intelligence.

In this thesis, it describes the login mode and the process of Single Sign-On and, by giving two enterprise solutions of Web Access Control and Identity Server, compares the advantages and disadvantages of their processing mode, flow and technical architecture.