Güncel Gönderiler: Elektrik ve Elektronik Mühendisliği Bölümü
Toplam kayıt 552, listelenen: 481-500
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A Comparison of Classification Methods for Local Binary Patterns
(IEEE, 2016)Texture recognition is an important tool used for content-based image retrieval, face recognition, and satellite image classification applications. One of the most successful features for texture recognition is local binary ... -
Combining Feature-based and Model-based Approaches For Robust Ellipse Detection
(IEEE, 2016)Fast and robust ellipse detection is a vital step in many image processing and computer vision applications. Two main approaches exist for ellipse detection, i.e., model-based and feature-based. Model-based methods require ... -
Blind Rectification of Radial Distortion by Line Straightness
(IEEE, 2016)Lens distortion self-calibration estimates the distortion model using arbitrary images captured by a camera. The estimated model is then used to rectify images taken with the same camera. These methods generally use the ... -
Lens Distortion Rectification Using Triangulation Based Interpolation
(Springer Int Publishing Ag, 2015)Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs ... -
1 Gbit/s UDP/IP Offload Engine IP Core with PCIe Interface
(World Scientific Publ Co Pte LTD, 2018)A significant amount of processor power is required to handle packet processing in high speed data networks and taking it to the hardware helps processor to save its energy for other processes. In this study, an Offload ... -
Video-based Lane Detection Using a Fast Vanishing Point Estimation Method
(IEEE, 2012)Lane detection algorithms constitute a basis for intelligent vehicle systems such as lane tracking and involuntary lane departure detection. In this paper, we propose a simple and video-based lane detection algorithm that ... -
Counting Turkish Coins with a Calibrated Camera
(Springer International Publishing Ag, 2015)We present a computer vision application that detects all coins in a test image, classifies each detected coin and computes the total amount. Coins to be counted are assumed to be lying on a flat surface. The application ... -
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 ... -
Detection of Mechanical Faults in Induction Motors Supplied with Adjustable Speed Drives
(IEEE, 2009)In this work, the mechanical faults that occur in induction motors, which are widely used in industry due to their simple and rugged construction and cost effective pricing, are analyzed. The certain fault modes are generated ... -
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 ... -
Discriminative common vector approach based feature selection in face recognition
(Pergamon-Elsevier Science LTD, 2014)A novel feature selection algorithm is proposed, which is related to the Discriminative Common Vector Approach (DCVA) utilized as a means to reduce the computational complexity of the facial recognition problem. The ... -
Use of center of gravity with the common vector approach in isolated word recognition
(Pergamon-Elsevier Science LTD, 2011)In this paper, the subspace based classifier, common vector approach (CVA), with the center of gravity (COG) method is used for isolated word recognition. Since the CVA classifier is sensitive to shifts through the time ... -
Application of Linear Regression Classification to low-dimensional datasets
(Elsevier Science BV, 2014)The Traditional Linear Regression Classification (LRC) method fails when the number of data in the training set is greater than their dimensions. In this work, we proposed a new implementation of LRC to overcome this problem ... -
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 ... -
Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskisehir
(Pergamon-Elsevier Science LTD, 2018)Solar energy is the most important energy resource that has become an efficient solution to the world's energy challenges. Accurate knowledge of global solar radiation and cell temperature are required for solar photovoltaic ... -
Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training
(Springer, 2010)The aim of this study is to speed up the scaled conjugate gradient (SCG) algorithm by shortening the training time per iteration. The SCG algorithm, which is a supervised learning algorithm for network-based methods, is ... -
Two-dimensional subspace classifiers for face recognition
(Elsevier Science BV, 2009)The subspace classifiers are pattern classification methods where linear subspaces are used to represent classes. In order to use the classical subspace classifiers for face recognition tasks, two-dimensional (2D) image ... -
GPS-based Antenna Tracking and Signal Beamforming System for Small UAV Platform
(IEEE, 2015)In this study GPS-based antenna tracking and signal beamforming system is considered to improve the data transmission quality, capacity and distance (range) of a small drone with ground station. The design phases and the ... -
Power Output Forecasting of a Solar House by Considering Different Cell Temperature Methods
(IEEE, 2017)Forecasting of power generation is needed for accurate design and performance evaluation of solar energy systems to associate demand and source side dynamics efficiently. Since the power output values of solar energy systems ... -
Supervisory controller design to enforce some basic properties in timed-transition Petri nets using stretching
(Elsevier Sci LTD, 2012)Supervisory controller design to enforce boundedness, reversibility, and liveness in timed-transition Petri nets with firing durations is considered. It is assumed that both controllable and uncontrollable transitions may ...
