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Toplam kayıt 94, listelenen: 1-10
Endpoint detection of isolated words using center of gravity method
(IEEE, 2007)
In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ...
Sequential Forward Feature Selection for Facial Expression Recognition
(IEEE, 2016)
Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. ...
Design of a Scenario-Based Synthetic Mixed Pulse Generator
(IEEE, 2013)
Electronic Support Measures (ESM) plays an important role in modern Electronic Warfare (EW) systems. The main purpose of an ESM system is to intercept as many emissions as it can, and then to deinterleave mixed streams of ...
A study on real-time data dissemination problem [Gerçek zamanli veri dagitimi problemi üzerine bir çalişma]
(2010)
Multicommodity flow problem deals with delivering multiple data items residing on different source machines on a networking system to their destinations in an efficient manner, while respecting the bandwidth and cost ...
Modular Common Vector Approach
(IEEE, 2014)
The performance of a face recognition system is negatively affected by the accessories used on the face Like many methods, the recognition performance of the Common Vector Approach (CVA) [1] over occluded images is not at ...
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 ...
RSS based Localization of an Emitter Using a Single Mini UAV
(IEEE, 2017)
In this study, it is aimed to find the position of a signal emitter by the means of a mini unmanned aerial vehicle (mUAV) with a sensor node that can record the received signal strength (RSS) and the global positioning ...
Detection of disturbances in energy system signals using gaussian distribution fitness test [Enerji Sisitemi Sinyallerinde Bozucularin Gauss Dagilim Uyumlulugu Testi ile Tespiti]
(2004)
In this work, a method based on higher order statistics (HOS) is proposed to detect disturbances in energy system voltage and current waveforms due to faults and various system events. During the normal operation of the ...
A Sparse Approach for the Presence Detection of Long-code DS-SS Signals
(IEEE, 2015)
In this paper, the presence detection of long-code direct sequence spread spectrum signals (DS-SS) in low signal to noise ratio (SNR) using the sensor array are considered. A sparse method, which is fast and computationally ...
HEp-2 Cell Classification using a Deep Neural Network Trained for Natural Image Classification
(IEEE, 2016)
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ...