Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 2361-2380
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Empirical mode decomposition application for short-term flicker severity
(Tubitak Scientific & Technical Research Council Turkey, 2016)In this article, an approach based on empirical mode decomposition (EMD) is suggested in order to calculate short-term flicker severity, Pst, in power systems. EMD is a new signal processing method used for the analysis ... -
An Edge-Sensing Predictor in Wavelet Lifting Structures for Lossless Image Coding
(Springer, 2007)The introduction of lifting implementations for image wavelet decomposition generated possibilities of several applications and several adaptive decomposition variations. The prediction step of a lifting stage constitutes ... -
Detection of Voltage Flicker and Voltage Harmonic Using Hilbert Huang Transform
(IEEE, 2014)Hilbert Huang Transform, which was suggested by Huang and improved by Flandrin and his group, is a new signal processing method. The analysis of nonlinear and non stationary signals can use HHT. This paper deals with the ... -
Compression of power quality event data using 2D representation
(Elsevier Science Sa, 2008)This paper introduces the energy compaction efficiency of a novel two-dimensional (2D) representation for compression of recorded power quality event data. The 2D representation enables to exploit redundancy across vertical ... -
The Mycielski78 compression algorithm
(IEEE, 2006)The Mycielski predictor is a prediction algorithm that utilizes the infinite past of a data sequence. The algorithm resembles the LZ77 compression method. LZ78, on the other hand, is a dictionary based lossless compression ... -
Mycielski Approach for Synthetic Wind Speed Data Generation
(IEEE, 2009)In this paper, a novel Mycielski based approach for wind speed data generation is developed and presented. The efficincy of the proposed approach is tested using hourly wind speed data obtained from Izmir region. To test ... -
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 ... -
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 ... -
Salient point region covariance descriptor for target tracking
(Spie-Soc Photo-Optical Instrumentation Engineers, 2013)Features extracted at salient points are used to construct a region covariance descriptor (RCD) for target tracking. In the classical approach, the RCD is computed by using the features at each pixel location, which increases ... -
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 ... -
Voltage waveform pattern selection for power quality event classification
(IEEE, 2007)Selection of useful and appropriate identifiers plays an important role in most detection and classification problems including the analysis of voltage waveform for power quality (PQ). In this case, the identifiers are ... -
Classifier-based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets
(Spie-Soc Photo-Optical Instrumentation Engineers, 2011)An offline feature selection and evaluation mechanism is used in order to develop a robust visual tracking scheme for sea-surface and aerial targets. The covariance descriptors, known to constitute an efficient signature ... -
On the realization of common matrix classifier using covariance tensors
(Academic Press Inc Elsevier Science, 2015)Due to the growing interest in image classifiers, the concept of native two dimensional (2-D) classifiers continues to attract researchers in the field of pattern recognition. In most cases, the 2-D extension of a regular ... -
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 ... -
Feasible Modified Subgradient Method for Solving the Thermal Unit Commitment Problem as a New Approach
(Hindawi LTD, 2010)The Lagrangian relaxation- (LR-) based methods are commonly used to solve the thermal unit commitment (UC) problem which is an important subject in power system engineering. The main drawback of this group of methods is ... -
Optimal power flow analysis of the 22-bus 380-kV interconnected power system in Turkey
(IEEE, 2006)In this paper, the Newton based optimal power now analysis (OPF) implemented using MATLAB (R) is applied for the 22-bus interconnected power system in Turkey which consists of 8 generation and 14 load bus connected each ... -
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
(Icic Int, 2011)In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ... -
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 ... -
A Hysteresis Model for Fixed and Sun Tracking Solar PV Power Generation Systems
(MDPI, 2018)In this study, a new solar photovoltaic (PV) panel output power model is proposed. The model is constructed as a function of ambient temperature and solar radiations for two types (fixed panel and sun tracking panel) of ... -
Wind Speed Prediction Using Artificial Neural Networks Based on Multiple Local Measurements in Eskisehir
(Elsevier Science BV, 2017)In this study, artificial neural network (ANN) based models, which differently uses multiple local meteorological measurements together such as wind speed, temperature and pressure values, are proposed and it shown ANN ...