Güncel Gönderiler: Makale Koleksiyonu
Toplam kayıt 193, listelenen: 121-140
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Comparative Solution of Unit Commitment Problem Using Three Different Methods
(Gazi University, Fac Engineering Architecture, 2009)In this paper, unit commitment problem which is an important subject in power system optimization, is solved by using dynamic programming, Lagrange relaxation, and simulated annealing methods. Dynamic programming method ... -
A fast method for the implementation of common vector approach
(Elsevier Science Inc, 2010)In this paper a novel computation method is proposed to perform the common vector approach (CVA) faster than its conventional implementation in pattern recognition. While conventional CVA calculations perform the classification ... -
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 ... -
Theoretical investigation of InAs/GaSb type-II pin superlattice infrared detector in the mid wavelength infrared range
(Amer Inst Physics, 2013)In this study, we present the theoretical investigation of type-II InAs/GaSb superlattice p-i-n detector. Kronig-Penney and envelope function approximation is used to calculate band gap energy and superlattice minibands. ... -
Robust Optimal Control of Power Systems
(Acta Press, 2016)The disturbance attenuation and robustness problems for power systems, modelled as nonlinear dynamic systems, is considered. A simultaneous solution to these two problems is proposed by using the necessary conditions. An ... -
Extension Principle and Controller Design for Systems With Distributed Time-Delay
(Kybernetika, 2017)Extension principle is defined for systems with distributed time-delay and the necessary and sufficient conditions for one system being an extension of the other are presented. Preservation of stability properties between ... -
Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
(Pergamon-Elsevier Science LTD, 2008)In this work, the hourly solar radiation data collected during the period August 1, 2005-July 30, 2006 from the solar observation station in Iki Eylul campus area of Eskisehir region are studied. A two-dimensional (2-D) ... -
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 ... -
A subspace based progressive coding method for speech compression
(Elsevier Science BV, 2017)In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue ... -
Sound based induction motor fault diagnosis using Kohonen self-organizing map
(Academic Press LTD- Elsevier Science LTD, 2014)The induction motors, which have simple structures and design, are the essential elements of the industry. Their long-lasting utilization in critical processes possibly causes unavoidable mechanical and electrical defects ... -
The effect of model generated solar radiation data usage in hybrid (wind-PV) sizing studies
(Pergamon-Elsevier Science LTD, 2009)Wind speed and solar radiation characteristics belonging to past years of a region are the main input parameters in wind-photovoltaic hybrid system (WPHS) sizing studies. Classically, these data are fed to several scenarios ... -
A novel wind speed modeling approach using atmospheric pressure observations and hidden Markov models
(Elsevier Science BV, 2010)Modeling the wind speed data has important implications in wind studies, providing valuable insight and parametric quantities for further engineering analysis. The classical modeling approach is to fit the probability ... -
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 ... -
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 ... -
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 ... -
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 ...