Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 193, listelenen: 105-124
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Membership set identification with periodic inputs and orthonormal regressors
(Elsevier Science BV, 2006)In this paper, we study the central and the projection algorithms in membership-set estimation with periodic input signals and orthonormal basis functions for the special case that the number of the estimated parameters ... -
Missing wind data forecasting with adaptive neuro-fuzzy inference system
(Springer, 2009)In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year ... -
Modeling and resource scheduling of real-time unsplittable data transfers
(Natural Sciences Publishing Co., 2015)Real-time communication where the timely delivery of the data transfer requests needs to be guaranteed is essential for several applications. This work formally introduces the Real-Time Unsplittable Data Dissemination ... -
Modeling of hysteresis and power losses in transformer laminations
(IEEE-Inst Electrical Electronics Engineers Inc, 2003)In this paper, a method for the representation of hysteresis and power losses in the laminations of power transformers is proposed. The developed model is based on data supplied from steel manufacturer and able to predict ... -
Multi-objective control of a full-car model using linear-matrix-inequalities and fixed-order optimisation
(Taylor & Francis LTD, 2014)This paper studies multi-objective control of a full-vehicle suspension excited by random road disturbances. The control problem is first formulated as a mixed H-2/H synthesis problem and an output-feedback solution is ... -
MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals
(İstanbul University, Fac Engineering, 2018)Continuous monitoring of respiratory rate (cycle) during sleep for diseases such as sleep apnea and sudden infant death syndrome (SIDS) can be lifesaving. Wireless radio communications signals are everywhere and can be ... -
Mycielski approach for wind speed prediction
(Pergamon-Elsevier Science LTD, 2009)Wind speed modeling and prediction plays a critical role in wind related engineering studies. However, since the data have random behavior, it is difficult to apply statistical approaches with apriori and deterministic ... -
Neural and mathematical modeling approaches for hourly long term loadforecasting
(2009)In this work, a mathematical model and an Artificial Neural Network (ANN)approach are constructed for the hourly forecasting of long term electric energydemand. Unlike former studies, these methods produce long term load ... -
A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network
(Hindawi LTD, 2016)A new hybrid wind speed prediction approach, which uses fast block least mean square (FBLMS) algorithm and artificial neural network (ANN) method, is proposed. FBLMS is an adaptive algorithm which has reduced complexity ... -
A new implementation of common matrix approach using third-order tensors for face recognition
(Pergamon-Elsevier Science LTD, 2011)In the classical common matrix approach (CMA), the common matrix for each individual face class is obtained using basis matrices calculated by Gram-Schmidt orthogonalization of the class covariance matrix. This common ... -
A new real time home power management system
(Elsevier Science Sa, 2015)In this work, a real time home power management (RTHPM) scheme and the corresponding rule based control algorithm (RTHPM algorithm) are presented. The proposed system produces a real time solution to reduce the electricity ... -
A new solution to one sample problem in face recognition using FLDA
(Elsevier Science Inc, 2011)Fisher linear discriminant analysis (FLDA) is a very popular method in face recognition. But FLDA fails when one image per person is available. This is due to the fact that the within-class scatter matrices cannot be ... -
Next Day Load Forecasting Using Artificial Neural Network Models With Autoregression and Weighted Frequency Bin Blocks
(Icic International, 2009)In this study, two different hybrid approaches based on Artificial Neural Network (ANN) models with Autoregressive (AR) method and Weighted Frequency Bin Blocks (WFBB), are used for next day load forecasting. To compare ... -
No-search algorithm for direction of arrival estimation
(Amer Geophysical Union, 2009)Direction of arrival estimation (DOA) is an important problem in ionospheric research and electromagnetics as well as many other fields. When superresolution techniques are used, a computationally expensive search should ... -
A Novel Approach For Learning Rate in Self Orginizing Map (Som)
(2018)The performance of resultant topological structure of Kohonen Self Organizing Map SOM is highly dependent of the learning rate and neighborhood parameters. In literature there are plenty many different types of approaches ... -
A novel fourier based solar radiation model
(2009)Solar radiation modeling is an important issue for renewable energyengineering based problems. In this study, a novel solar radiation model isproposed. The model inputs are the solar radiation data belonging to first ... -
A novel hybrid (wind-photovoltaic) system sizing procedure
(Pergamon-Elsevier Science LTD, 2009)Wind-photovoltaic hybrid system (WPHS) utilization is becoming popular due to increasing energy costs and decreasing prices of turbines and photovoltaic (PV) panels. However, prior to construction of a renewable generation ... -
A Novel Implementation Algorithm For Calculation of
(2016)Common vector approach (CVA), discriminative common vector approach (DCVA), and linear regression classification (LRC) are subspace methods used in pattern recognition. Up to now, there were two well-known algorithms to ... -
A novel modeling approach for hourly forecasting of long-term electric energy demand
(Pergamon-Elsevier Science LTD, 2011)In this study, a novel mathematical method is proposed for modeling and forecasting electric energy demand. The method is capable of making long-term forecasts. However, unlike other long-term forecasting models, the ... -
Novel Models for Hourly Solar Radiation Using a 2-D Approach
(Icic Int, 2009)In this work one year hourly solar radiation data are analyzed and modeled using a novel visualization method. Using a 2-D(Dimensional) surface fitting approach, the general behavior of the solar radiation in a year is ...