This system can fully prevent from human and financial losses that may cause by a variety of toxic and flammable gases. Its application of this system is in residential, commercial office, factories and etc. The mechanism of system is by radio waves. This system for preventing probable risks simultaneously cuts the electricity and gases of selected environments, the horn of alarm risk brought t...

Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing our behavior to watch and have a conversation on topics that might be interesting...

Current research on semantic web aims at making intelligent web pages meaningful for machines. In this way, ontology plays a primary role. We believe that logic can help ontology languages (such as OWL) to be more fluent and efficient. In this paper we try to combine logic with OWL to reduce some disadvantages of this language. Therefore we extend OWL by logic and also show how logic can satisf...

Although returns distributions are complex, they can’t avoid manipulation in any form. We propose a new methodology, the Intelligent Portfolio Selection & Optimisation System – IPSOS that takes into account hidden information within the extended accounting data and financial statements, among other values incorporates them on a new Jordan Elman hybrid network to provide safer financial evaluati...

A learning architecture for intelligent system based on brain system nature is proposed. To reduce large amount of learning time that is necessary for conventional methods, we introduce reuse of knowledge that are acquired through past experiences. The architecture enables immediate adaptation to a new task that is similar to well experienced tasks. The effect is evaluated in a series of naviga...

The paper presents the research undertaken for extending the functionality of a regular fuzzy multi-input decision support system through the application of basic neutrosophy principles. The application is designed and simulated using tools already available for the fuzzy implementation, adapted to the requirements of the neutrosophic extension. The results show an increase in the decision clas...

This paper presents the application and validation of a UML metamodel developed for the requirements modeling in multi-agent systems projects. In this paper we describe the metamodel and its application into the modeling of an intelligent tutor system called AME-A. We also demonstrate the way we intend to validate this metamodel. Keywords-Metamodels; Stereotypes; Agents; Agent Roles; AgentRole_...

This paper describes a method for optimal backtracking Prolog based on failure-bindings of literals. A modified unification algorithm is presented in order to identify all possible causes of failure during execution. Methods to select optimal back-point and the use of Failure Binding Tables at run-time are presented. Forwardand Backwardexecution algorithms are also given. keywords: prolog, inte...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a “knowledge gap” and other missing function words to generate natural ...