Please login to be able to save your searches and receive alerts for new content matching your search criteria.
This paper based on the feasibility of using rough sets theory in digital image watermarking technology. The carrier image was regarded as a knowledge system, and condition attributes and decision attributes are represented by some visual characteristics. Embedding method of watermark information which is adapted to the visual demand was summarized after objective analyses. Results of the experiments carried on test images show that the embedding rules acquired according to this paper have good effect.
This paper presents the design and implementation of a Chinese Expert System Shell which is based on a Chinese Prolog interpreter.
The system is divided into three parts: the knowledge acquisition module, the knowledge application module and the inference engine.
The knowledge engineer defines the syntax of the language to be used by himself and by the users when they interact with the system. The natural language interface is table driven and can be modified easily.
The system also caters for the case when the domain expert finds it difficult to articulate the rules, but is able to give examples. An inductive engine is included to extract rules from examples.