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Toplam kayıt 193, listelenen: 116-135
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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 ... -
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 ... -
Nuclear Norm Spectrum Estimation From Uniformly Spaced Measurements
(IEEE-Inst Electrical Electronics Engineers Inc, 2014)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from uniformly spaced spectrum samples. A critical step in these methods is the splitting ... -
Object reconstruction from in-line Fresnel holograms without explicit depth focusing
(Spie-Int Society Optical Engineering, 2004)We propose two computational techniques for extracting object cross-sectional shape information from digitized in-line Fresnel holograms that do not require prior knowledge of object depths but recover relative depth ... -
On the existence of a disk algebra basis
(Elsevier Science BV, 2000)In this paper, approximation of discrete-time systems by fixed pole orthonormal basis functions is investigated. It is shown that if accumulation points of basis poles do not cover the entire unit circle, then the Fourier ... -
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 ... -
On the uniform approximation of discrete-time systems by generalized Fourier series
(IEEE-Inst Electrical Electronics Engineers Inc, 2001)In this paper, model sets for linear time-invariant discrete-time systems spanned by fixed orthonormal bases are studied. It is shown that the Fourier series of the system transfer function with respect to these bases ... -
Overlapping decompositions and expansions of Petri nets
(IEEE-Inst Electrical Electronics Engineers Inc, 2002)Overlapping decompositions and expansions are considered to design decentralized controllers for discrete-event systems (DESs) modeled, by Petri nets. The inclusion principle for Petri nets is first defined. It is shown ... -
Overlapping decompositions, expansions, contractions, and stability of hybrid systems
(IEEE-Inst Electrical Electronics Engineers Inc, 1998)Inclusion and extension principles are defined and studied for hybrid systems, The controller design problem for hybrid systems is then considered within the framemork of the extension principle. It is shown that if the ... -
Paley inequalities for discrete-time rational orthonormal bases
(Elsevier Science BV, 2000)In this paper, we derive some inequalities which provide information about the Fourier coefficients of linear-time-invariant discrete-time systems with respect to the bounded rational orthonormal basis functions studied ... -
A path selection-based algorithm for real-time data staging in Grid applications
(Academic Press Inc Elsevier Science, 2005)Efficient data scheduling is becoming an important issue in distributed real-time applications that produce huge data sets. The Grid environment on which these applications may run seeks to harness the geographically ... -
Performance and Robustness of Flow Controllers Designed Using Non-causal Uncertainty Blocks
(Wiley, 2013)According to some recent results, use of non-causal uncertainty blocks may be advantageous in the robust controller design of systems with multiple uncertain time-delays. In this work, performance and robustness improvements ...
