The image data as well as the nature of querying image data is fuzzy. Users like to retrieve images based on similarity rather than exact matching. Often, the users are able to provide only partial information while posing queries. As a consequence, the query languages of traditional databases which deal with precise data are inappropriate for querying image data. Content based retrieval system...

How to model traveler’s perception of travel time is always an important issue in the development of traffic assignment models. Since travelers rarely have perfect knowledge of the road network or of the traveling conditions, they choose routes based on their perceived travel times. Traditionally, travelers’ perceived travel times are treated as random variables, leading to the stochastic traff...

The research discusses the problems of designing the automotive safety systems as comprehensive objects at the interface between the vehicle dynamics control, intelligent transportation systems and human machine interface. Taking into account the extreme uncertainty of the driving environment, the development of reliable safety control systems is possible only on the basis of intelligent analyt...

Intelligent Universal Transformer (IUT) is a power electronic base transformer introducing for Advanced Distribution Automation (ADA) in future. ADA is the state of art employing the new architecture based on both the flexible electrical network and open communication construction comprise the Future Distribution System. Fuzzy control is a method based on fuzzy logic concept emphasizes on fuzzy...

An advanced guidance law is developed for reentry phase of a reentry vehicle. It can achieve small miss distance and desired impact attitude angle, simultanceously. To meet this requirment a guidance law based on the fuzzy logic approach is developed. It is partitioned into three stages. This guidance law does not require linearization of missile engagement model. Line-of-sight and flight path ...

Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies...