Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

34 articles for “Training Speed”
Set a search alert
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Analysis of How the Electrical Training Center Site is Affected by Air PollutionBassam A. Al-HelouThe study has come to the result that the monitoring site at the Electrical Training Centre (ETC) at Al-Hashimyeh town is exposed to grave pollution that goes beyond Jordanian standards of the ambient air. It has, indeed, shown that Sulfur dioxide (SO2) exceeds the limits and its seasonal concentration matches forward with the average wind speed. SO2 concentration reaches its … …American Journal of Applied Sciences, Vol. 9, Issue 11 · 3 Sep 2012 · 7,111 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractBodily Communication in Volleyball and New Data SystemGaetano RaiolaProblem statement: To verify the incidence of performance analysis data of bodily communication in volleyball and the difference of method gathering data between traditional method and new one. It recognizes the technical skills that are involved in bodily communication aspects. Thus, it analyzes and quantifies three specific technical skills relating the attacker role and the setter one in relationship to … …Journal of Social Sciences, Vol. 7, Issue 4 · 25 Oct 2011 · 8,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference SystemV.M. Varatharaju, Badrilal Mathur, UdhayakumarProblem statement: The tuning methodology for the parameters of adaptive speed controller causes a transient deviation of the response from the set reference following variation in load torque in a permanent-magnet brushless DC (BLDC) motor drive system. Approach: This study develops a mathematical model of the BLDC drive system, firstly. Secondly, discusses a design of the closed loop drive system … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,941 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndividualization Training of Players on Positions at the Level of Handball Junior TeamsPitigoi GabrielProblem statement: Starting from the observation that for the handball players, who finished the junior state in hard to integrate in senior teams due to a low level of preparation. I hypothesized that at this level we can use all organizational forms of individual training (frontal relation, group level, individual).Using individual records, performance behavior characteristics of the players to positions, … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 7,230 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris FeaturesA. Jameer Basha, V. Palanisamy, T. PurusothamanProblem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the abstractVulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction MethodAhmed M.A. Haidar, Azah Mohamed, Aini HussainVulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed feature extraction method named as the Neural Network Weight Extraction (NNWE) for dimensionality reduction of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,153 accessesView PDFCite