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74 results for “fuzzy systems”
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Research ArticleOpen accessIn the abstractPath Loss Prediction Using Fuzzy Inference System and Ellipsoidal RulesMario Versaci, Salvatore Calcagno, Fabio La Foresta, Biagio CammarotoIt is well known as the prediction of radio wave path loss in urban environment plays a key role in order to correctly plan wireless systems and mobile communication networks. To obtain more flexible prediction models able to give accurate results, in recent years Soft computing Techniques has been exploited. In this study, a novel approach based on ellipsoidal fuzzy … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 6 Dec 2012 · 6,770 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation on Score Reliability for Biometric Speaker Authentication SystemsDzati Athiar Ramli, Haryati Jaafar, Muhammad Hazim HasanProblem statement: Fusion weight tuning based on score reliability is imperative in order to ensure the performances of multibiometric systems are sustained. Approach: In this study, two variant of conditions i.e., different performances of individual subsystems and inconsistent quality of test samples are experimented to multibiometric systems. By applying multialgorithm scheme, two types of features extraction method i.e., Linear Predictive … …Journal of Computer Science, Vol. 8, Issue 9 · 16 Aug 2012 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Logic Based Power Control for Wideband Code Division Multiple Access Wireless NetworksN. Mohan, T. RavichandranProblem statement: Resource management is one of the most important engineering issues in 3G systems where multiple traffic classes are supported each being characterized by its required Quality of Service (QoS) parameters. Call Admission Control (CAC) is one of the resource management functions, which regulates network access to ensure QoS provisioning. Efficient CAC is necessary for the QoS provisioning in … …Journal of Computer Science, Vol. 8, Issue 8 · 4 Aug 2012 · 6,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Priority Oriented Scheduling Method to Increase the Reliability of Manufacturing SystemsSeyedehfarzaneh Nojabaei, Z. Leman, S. H. Tang, S. SulaimanScheduling occurs in every organization without considering the nature of its activities. In this regard, numerous scholars have attempted to schedule via divergent methods including classical scheduling, genetic algorithm, neural network and fuzzy logic and so on. Studies in manufacturing scheduling mostly deal with priority rules without any consideration of the system states. An appropriate scheduling leads to significant enhancement … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 31 Jul 2012 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Adaptive Neuro-Fuzzy Inference System for Information SecuirtyAltyeb Altaher, Ammar Almomani, Sureswaran RamadassProblem statement: Computer networks are expanding at very fast rate and the number of network users is increasing day by day, for full utilization of networks it need to be secured against many threats including malware, which is harmful software with the capability to damage data and systems. Fuzzy rule based classification systems considered as an active research area in … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Approach for Heterogeneous Radio Access Technology SelectionJ. Preethi, S. PalaniswamiProblem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 7,037 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Unique Novel Approach for Design and Analysis of A Robust Decentralized Self-Tuning Fuzzy PI Controller for a Multi Input Multi Output ProcessP. Sujatha Therese, N. Kesavan NairProblem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.They have more than a single controlled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, it is a difficult task because of the non stationary behaviour, substantial … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 17 Jan 2012 · 7,004 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Simulation, Design, Comparitive Analysis of Intelligent Controllers in Adjustable Speed Drives for PQ EnhancementA. Srikrishnan, B. Justus RabiProblem statement: This study deals with the analysis, design and comparison between fuzzy and genetic based adjustable speed drives with respect to the parameters which determines the quality of power. Approach: ASD system using fuzzy controllers provide ride-through capability during voltage sags, reduces harmonics, improves power factor and is highly reliable, whereas by using genetic algorithm optimized ASD systems, the … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Based Neuro Fuzzy Technique for Process Grain Sized Scheduling of Parallel JobsSadasivam Vijayakumar Sudha, Keppanagowder ThanushkodiProblem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite