An incredible growth of the computing power, advances in microelectronics, telecommunication, and new software tools and techniques do allow us to have computers controlling, displaying, supporting, even, as some would like to have, thinking for us. In addition to a well established real time applications in military, aerospace, aviation, and medical systems, nowadays the consumer electronics i...

One promising approach to managing complexity and ensuring qualities of software systems is through software architecture, denoting the science and art of software structuring. In this report, some important concepts, theories, and methods of software architecture from software engineering will be studied. Since these technologies are developed with generic software applications in mind, there ...

In this paper we summarize some aspects of the development of computer algebra systems from the last 25 years. We focus on Aldes/SAC-2, MAS and some new developments in Java. It will turn out that computer algebra can more and more use standard software developed in computer science to reach its goals. In this systems theories of Volker Weispfenning have been implemented

Intelligent agent is a kind of software program, a composition of computer software and statistics. It is capable to transfer from one computer to another autonomously and maintain its execution on the intention computer. Although agent systems are capable to finding applications in significant and insightful applications; however with these applications are initiating apprehensions for protect...

The defense of computer systems from malicious software attacks, such as viruses and worms, is a key aspect of computer security. The analogy between malicious software and biological infections suggested us to use the κcalculus, a formalism originally developed for the analysis of biological systems, for the formalization and analysis of malicious software. By modeling the different actors inv...

Practically all new computer systems are parallel. The minds of the majority of software engineers are not, and most of existing source code is still sequential. Within only a few years, multicore processors changed the system landscape, but the competence to reengineer for computer systems of today is shared among a small community of software engineers. In this paper we present AutoFuture, an...

Research in artificial complexity (i.e., artificial life, complex systems, and agent-based distillation), largely depends on the use of computer software. The reliability of the obtained results is directly related to two key assumptions: (1) that the software represents the problem as intended by the developer; and (2) that the software is bug-free. However, developing software for artificial ...

Modeling and simulation of processing plants are widely used in industry. Construction of a mathematical model for a plant is a time-consuming and error-prone task. In light of extensive advancements in computer science (both hardware and software), computers are becoming a necessary instrument in industrial activities. Many software tools for modeling, simulation and optimization of proces...

This paper brieey explores some issues associated with the use of computer-assisted learning/teaching methods in power systems education. Power students' perception regarding computer literacy and power educators' general attitude regarding a computer-oriented approach to power systems educ-tion will be dealt with in some detail. A computer simulation-based teaching/learning method adopted for ...

For most real applications of computer vision, variations in operating conditions result in poor reliability. As a result, real world applications tend to require lengthy set-up and frequent intervention by qualified specialists. In this paper we describe how autonomic computing can be used to reduce the cost of installation and enhance reliability for practical computer vision systems. We begi...