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Federal University of Pará, Brazil

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3 Papers

AN OPTIMIZATION MODEL FOR ALLOCATION OF NETWORK USERS IN MACRO-FEMTO NETWORKS - An Approach based on Energy Efficiency and Quality of Service

Topic: Optimization Techniques for Efficient Energy Consumption

Authors: Diego L. Cardoso ¹ , Marcelino S. Silva ¹ , Adamo L. Santana ¹ , Carlos R. L. Francês ¹ , Solon V. Carvalho ² and Nandamudi L. Vijaykumar ²

Affiliations: ¹ Federal University of Pará, Brazil , ² National Institute for Space Research, Brazil

Digital Object Identifier: 10.5220/0003953202090214

Proceedings of SMARTGREENS 2012, ISBN: 978-989-8565-09-9

Quick Abstract

The femtocell concept aims to combine fixed-line broadband access with mobile telephony using the deployment of low-cost, low-power third generation (3G) base stations in the subscribers' homes. While the self-configuration of femtocells is a plus, it can limit the quality of users and reduce the efficiency of the network, based on outdated allocation parameters such as signal power level. To this end, this paper presents a proposal for optimized allocation of users on a macro-femto network, aiming to minimize the consumption of battery without affecting the quality of service of applications. Markov Decision Process Theory is used to model the system, which is modeled as observed by the user’s side. So, when the user needs to connect to make a voice call or a data call, the mobile phone has to decide in which network to connect, using the information of number of connections, the quality of service parameters and the signal power level of each network.

Related Ontology Subjects/Areas/Topics (3)

Energy and Economy

Energy-Aware Systems and Technologies

Optimization Techniques for Efficient Energy Consumption

Application of Self-organizing Maps in Functional Magnetic Resonance Imaging

Authors: Anderson Campelo ¹ , Valcir Farias ¹ , Marcus Rocha ¹ , Heliton Tavares ¹ and Antonio Pereira ²

Affiliations: ¹ Universidade Federal do Pará, Brazil , ² Univesidade Federal do Rio Grande do Norte, Brazil

Digital Object Identifier: 10.5220/0002951300720080

Proceedings of Workshop ANNIIP 2010/ICINCO, ISBN: 978-989-8425-03-4

Quick Abstract

In the present work, we used Kohonen’s self-organizing map algorithm (SOM) to analyze functional magnetic resonance imaging (fMRI) data. As a first step to increase computational efficiency in data handling by the SOM algorithm, we performed an entropy analysis on the input dataset. The resulting map allowed us to define the pattern of active voxels correlated with auditory stimulation in the data matrix. The validity of the algorithm was tested using both real and simulated data.

A FUZZY-CONTROLLED INFLUENCE FUNCTION FOR THE CULTURAL ALGORITHM WITH EVOLUTIONARY PROGRAMMING APPLIED TO REAL-VALUED FUNCTION OPTIMIZATION - Intelligent Control Systems and Optimization

Topics: Fuzzy Control; Knowledge-Based Systems Applications; Evolutionary Computation and Control; Optimization Algorithms

Authors: Mário Augusto Torres , Otávio Noura Teixeira and Roberto Limão de Oliveira

Affiliation: Universidade Federal do Pará, Brazil

Digital Object Identifier: 10.5220/0002210902400245

Proceedings of ICINCO 2009, ISBN: 978-989-8111-99-9

Quick Abstract

In this paper, we propose a fuzzy system to act as a control mechanism for the evolutionary process of search of a Cultural Algorithm with Evolutionary Programming (CAEP) applied to real-valued function optimization. The fuzzy system uses population knowledge to adjust the Influence Factor that represents the intensity of the influence of the Variation operator of the CAEP model, therefore adjusting the search process. This paper also presents a comparative analysis of the proposed influence function using well-known benchmarking functions.

Related Ontology Subjects/Areas/Topics (12)

Artificial Intelligence	Evolutionary Computation and Control	Intelligent Control Systems and Optimization
Artificial Intelligence and Decision Support Systems	Fuzzy Control	Knowledge-Based Systems Applications
Computational Intelligence	Fuzzy Systems	Optimization Algorithms
Enterprise Information Systems	Informatics in Control, Automation and Robotics	Soft Computing