Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem o...

Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network of the city is very complicated and dense, which is usually the case, it will take too long fo...

Research in automated configuration is a traditional core application area for knowledge-based systems that is increasing in commercial relevance, but there exists no generally agreed basic formal representation scheme. Based on a small simplified example taken out of the knowledge base of an deployed configuration application, we describe a configuration knowledge based on an analogy to the cl...

One of the greatest engineering feats in history is construction tunnels, and management tunnel safety depends heavily on detection defects. However, real-time, portability, accuracy issues with present defect technique still exist. The study improves traditional technology based knowledge distillation algorithm, depth pooling residual structure designed teacher network to enhance ability extra...

The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster basedcross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. The cluster basedarchitecture using semantic knowledge provides scalability and accuracy. Also, the mini...

In this paper, we propose an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through the think-aloud method with the aid of visualization of temporal data using time series workbench (TSW), both domain knowledge from experts about how to solve problems in the gas turbine and information about how domain experts analyze the archived temporal da...

Modified Normalized Least Mean Square (MNLMS) algorithm, which is a sign form of NLMS based on set-membership (SM) theory in the class of optimal bounding ellipsoid (OBE) algorithms, requires a priori knowledge of error bounds that is unknown in most applications. In a special but popular case of measurement noise, a simple algorithm has been proposed. With some simulation examples the performa...

In many fields dependant upon complex observation, the structuring, depiction and treatment of knowledge can be of great complexity. For example in Systematics, the scientific discipline that investigates bio-diversity, the descriptions of specimens are often highly structured (composite objects, taxonomic attributes), noisy (erroneous or unknown data), and polymorphous (variable or imprecise d...

This paper reports on the use of tools that statically analyze rule-bases in order to detect logical errors, such as redundancy, inconsistency, and incompleteness. The analysis uses a variant of the KB-Reducer algorithm (Ginsberg 1991). In contrast to accounts of similar tools, which seldom describe tools as used in the field, the experience described in this paper is derived from using tools t...