In widely distributed systems generally, and in science-oriented Grids in particular, software, CPU time, storage, etc., are treated as “services” – they can be allocated and used with service guarantees that allows them to be integrated into systems that perform complex tasks. Network communication is currently not a service – it is provided, in general, as a “best effort” capability with no g...

In this paper, a task-oriented design (TOD) procedure is proposed by which a robotic arm can be designed to achieve predefined tasks. To define the target tasks, we have spent about six months, observing everyday life of disabled people, and have determined 12 important tasks. By using TOD procedure in a coherent and consistent manner, we have developed a working prototype of a care-providing r...

Background and objective. The authors present the results of their theoretical experimental research in field subject-oriented psychophysics, carried out different years line with activity system-oriented approaches. obtained substantiate productivity prospects A.N. Leontiev’s psych ological theory object ideas as one important methodological foundations domestic psychophysical research. princi...

Object-oriented descriptions are gaining more and more importance in the high-level specification of hardware/software systems. Hiding the complexity from the developer is one of the key tasks in order to master the complexity of todays systems. With the high grade of abstraction necessary on the system level the automatic partitioning of a system is a difficult problem. In this paper we theref...

The goal of this article is to depict Object Oriented Conceptual Model Data Cube using it as an example. In short, the paper has described: 1) Structural level in object oriented class definition of data cube; 2) The basic methods for computing data cube from relational database by select operator; 3) To set tasks for future work to develop appropriate methods of class to construct data cube in...

Partially observable Markov decision processes (POMDPs) are an appealing tool for modeling planning problems under uncertainty. They incorporate stochastic action and sensor descriptions and easily capture goal oriented and process oriented tasks. Unfortunately, POMDPs are very difficult to solve. Exact methods cannot handle problems with much more than 10 states, so approximate methods must be...

Pervasive computing is an intuitive evolution of computing paradigms driven by the wide adoption of mobile devices and wireless networks. It introduces a novel way to support users in their everyday life based on open and dynamic environments populated with unobtrusive services able to perform user tasks on the fly. Nevertheless, supporting user tasks from a functional point of view is not enou...

Pervasive computing is an intuitive evolution of computing paradigms driven by the wide adoption of mobile devices and wireless networks. It introduces a novel way to support users in their everyday life based on open and dynamic environments populated with unobtrusive services able to perform user tasks on the fly. Nevertheless, supporting user tasks from a functional point of view is not enou...

This paper investigates the effect of various feature extraction methods on the recognition ability of a self-organising neural network called PARADISE when applied to the problems of the classification of face images and hand written character recognition. The feature extraction methods investigated are, oriented Gaussian filters, Gabor filters and oriented Laplacian of Gaussian (LoG) filters....