We present a new speech enhancement algorithm in a car environment with two microphones. The car audio signals and other background noises are the target noises to be suppressed. Our algorithm is composed of two main parts, i.e., the spatial and the temporal processes. The multi-channel blind deconvolution (MBD) is applied to the spatial process while the Kalman filter with a second-order high ...

Ideas from terminology management, the science of terms and definitions, can be used to improve the quality of software and data models, as well as to facilitate the achievement of some of the current goals of computer science like the realization of the Semantic Web and the re-use of software components. This paper explains the principles and methods of terminology management and relates it to...

Model-Based Diagnosis (MBD) finds a growing number of uses in different settings, which include software fault localization, debugging of spreadsheets, web services, and hardware designs, but also the analysis of biological systems, among many others. Motivated by these different uses, there have been significant improvements made to MBD algorithms in recent years. Nevertheless, the analysis of...

Consider the question: which finite groups operate as symmetries of the complex projective plane P’(C)? Any finite subgroup of &X,(C) acts as a group of collineations and these give the linear models. The list of such groups is relatively short [MBD] but contains, for example, a groups of rank < 2, subgroups of U(Z), and the simple groups A,, A,, an PSL(F,). It turns out that these linear group...

Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...

Many problems in multiagent decision making can be addressed using tournament solutions, i.e., functions that associate with each complete and asymmetric relation on a set of alternatives a non-empty subset of the alternatives. For a given tournament solution S, Schwartz calls a set of alternatives S-retentive if it satisfies a natural stability criterion with respect to S. He then recursively ...

Component-Based Development (CBD) is revolutionizing the process of building applications by assembling pre-built reusable components. Components should be designed more for inter-organizational reuse, rather than intra-organization reuse through domain analysis which captures the commonality of the target domain. Moreover, the minor variations within the commonality should also be modeled and ...

Image retrieval systems play a key role in big image database systems. User may search for the image using keywords, phrases or image itself. CBIR approaches helps to retrieve image based on the contents or features of the image. RBIR approach helps to retrieve images based on the regions.The images retrieved using RBIR have more close similarity with human approaches.But the semantic gap still...

The hypothesis space approach to model-based diagnosis (MBD) of discrete-event systems (DESs) finds out candidates by checking each hypothesis, this being a subset of all the possible faults of the system. The hypothesis is a candidate if, assuming that all and only the faults in the hypothesis itself are affecting the system, is consistent with the system description and the observation. In th...

Structural properties of stochastic dynamic programs are essential to understanding the nature of the solutions and in deriving appropriate approximation techniques. We concentrate on a class of multidimensional Markov decision processes and derive sufficient conditions for the monotonicity of the value functions. We illustrate our result in the case of the Multiproduct Batch Dispatch (MBD) pro...