ACIT'2005 Proceedings
241
ACIT'2024 will be held in Zarqa University, December 10-12, 2024 -Zarqa, Jordan
ACIT
The International Arab Conference on Information Technology (ACIT) is a technical-scientific specialized conference. It is held periodically in the Arab homeland. All its bodies emerge from the Colleges of Computing and Information Society (CCIS), stemming from the Association of Arab Universities. This conference is considered the official scientific conference for CCIS. Zarqa University in Jordan has been selected to be the permanent residence for its General Secretariat.
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ABSTRACT
The introduction of the technology of agents into the field of Workflow, makes it possible to offer more flexibility and adaptability to workflow systems, this is due to the characteristics of the agents and in particular the intelligent agents. This article explores the two technologies (workflow and agent) and the various forms of integration of agents in workflow management systems, and discusses the benefit of this integration. An approach "Agent-Based Workflow" based on the ontology of service is also given.
Keywords: Workflow, Software Agents, Multi-Agent Systems, Agent-Based Workflow, Agent- Enhanced Workflow, service ontology.
ABSTRACT
The principal objective of this research is an adoption of the Genetic Algorithm (GA) for studying it firstly, and
to stop over the facilities which are introduced from the genetic algorithm.The candidate field for applying the facilities
of the genetic algorithm is the data compression field, because researchers took great interest in this field in the recent
years. This research uses the facilities of the genetic algorithm for the enhancement of the performance of one of the
popular compression method, Vector Quantization (VQ) method is selected in this work. After studying this method, new
proposed algorithm for mixing the (GA) with this method was constructed and then the required programs for testing this algorithm was written. A good enhancement was recorded for the performance of the (VQ) method when mixed with the (GA). The proposed algorithm was tested by applying it on some sound data files. Some fidelity measures are calculated to evaluate the performance of the new proposed algorithm.
KEYWORDS: Vector Quantization, Crossover Operation, Mutation Operation, Clustering.