IJARAI Vol. 1 Issue 5 (2012)

Open Access | | 5 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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A genetic algorithm approach for scheduling of resources in well-services companies

Author 1: Adrian Brezulianu Author 2: Lucian Fira Author 3: Monica Fira

In this paper, two examples of resources scheduling in well-services companies are solved by means of genetic algorithms: resources for call solving, people scheduling. The results demonstrate that the genetic algorithm approach can provide acceptable solutions to this type of call solving for scheduling in well-services companies. The suggested approach could be easily extended to various resource scheduling areas: process scheduling, transportation scheduling.

Genetic algorithm optimization well-services.

Abstract doi.org/10.14569/IJARAI.2012.010501 PDF

An improvement direction for filter selection techniques using information theory measures and quadratic optimization

Author 1: Waad Bouaguel Author 2: Ghazi Bel Mufti

Filter selection techniques are known for their simplicity and efficiency. However this kind of methods doesn’t take into consideration the features inter-redundancy. Consequently the un-removed redundant features remain in the final classification model, giving lower generalization performance. In this paper we propose to use a mathematical optimization method that reduces inter-features redundancy and maximize relevance between each feature and the target variable.

Feature selection mRMR Quadratic mutual information filter.

Abstract doi.org/10.14569/IJARAI.2012.010502 PDF

A Comparative Study on different AI Techniques towards Performance Evaluation in RRM(Radar Resource Management)

Author 1: Madhusudhan H S Author 2: Khalid Nazim S.A

The multifunction radar (MFR) has to make a decision as to which functions are to be performed first or which must be degraded or even not done at all when there are not enough resources to be allocated. The process of making these decisions and determining their allocation as a function of time is known as Radar Resource Management (RRM). The RRM has two basic issues: task prioritization and task scheduling. The task prioritization is an important factor in the task scheduler. The other factor is the required scheduling time, which is decided by the environment, the target scenario and the performance requirements of radar functions. The required scheduling time could be improved by using advanced algorithm [1, 6].

Radar RRM (Radar Resource Management) Artificial Intelligence (AI) Neural Network (NN) Fuzzy Logic (FL).

Abstract doi.org/10.14569/IJARAI.2012.010503 PDF

Integrated Information System of Monitoring and Management for Heart Centers

Author 1: Adrian Brezulianu Author 2: Monica Fira

The integrated information system presented in this paper is focused on increasing the quality of the medical services offered to the patients by rendering the activities more efficient and by corroborating the family doctors and the cardiologists’ efforts. In order to accomplish the mentioned objectives we propose implementing an integrated information system by means of which the integrated management of the medical data will be done. In addition, it has been offered a collaborative instrument, patient oriented, that it will be used both by the family doctor and by the specialist doctor.

ECG Monitoring Management Integrated Information System.

Abstract doi.org/10.14569/IJARAI.2012.010504 PDF

Introduction of the weight edition errors in the Levenshtein distance

Author 1: Gueddah Hicham Author 2: Yousfi Abdallah Author 3: Belkasmi Mostapha

In this paper, we present a new approach dedicated to correcting the spelling errors of the Arabic language. This approach corrects typographical errors like inserting, deleting, and permutation. Our method is inspired from the Levenshtein algorithm, and allows a finer and better scheduling than Levenshtein. The results obtained are very satisfactory and encouraging, which shows the interest of our new approach.

component spelling errors correction Levenshtein distance weight edition error.

Abstract doi.org/10.14569/IJARAI.2012.010506 PDF

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