Güncel Gönderiler: Bildiri Koleksiyonu
Toplam kayıt 355, listelenen: 321-340
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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 ... -
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 ... -
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 for timed Petri Nets
(IEEE, 2006)A method, called "stretching ", is introduced to represent timed Petri nets. Using this method, a new Petri net, called "stretched Petri net", which has only unit delays, is obtained to represent a timed-transition Petri ... -
An Image-Processing Based Automated Bacteria Colony Counter
(IEEE, 2009)This paper presents an image processing based automated counting system to detect the number of bacteria colonies that develop in Petri dishes of microbiology laboratories. The visible colonies represent the initial number ... -
Impact of Peer-to-Peer Communication on Real-time Performance of File Replication Algorithms
(IEEE, 2008)A variety of file replication algorithms are proposed for Data Grids in the literature. Most of these algorithms ignore real-time Grid applications which are emerging in many disciplines of science and engineering today. ... -
Heuristic Algorithms for Real-Time Unsplittable Data Dissemination Problem
(Springer-Verlag London LTD, 2012)In real-time communication, the timely delivery of the data transfer requests needs to be guaranteed. This work formally introduces the Real-Time Unsplittable Data Dissemination Problem (RTU/DDP), which is a generalization ... -
Biorthogonal Wavelet Vanishing Moment Increment Technique
(IEEE, 2015)Among several lifting style biorthogonal wavelets, Daubechies and Sweldens wavelets provide the maximum number of vanishing moments for the shortest filter length. In this research we propose a method to increase the number ... -
A Work on Real-Time Data Dissemination Problem
(Eurosis, 2011)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 ... -
A Real-Time Data Grid Model With Centralized Job Scheduling
(Eurosis, 2010)A variety of simulators, emulators and real world infrastructures are implemented for Data Grids in the literature. Each of these works defines its own set of services and models. Yet, in the literature, there is no such ... -
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 ... -
Spectrum estimation in frequency-domain by subspace and regularization-based algorithms: A survey
(IEEE, 2015)In this survey article, we study methods to identify multi-input/multi-output, discrete-time, linear time-invariant systems from power spectrum measurements. First, we examine subspace-based identification algorithms. A ... -
Positive Realness in Stochastic Subspace Identification: A Regularized and Reweighted Nuclear Norm Minimization Approach
(IEEE, 2015)In this paper, we propose a method to transform a non-positive real transfer function matrix into a positive real one. This problem is of engineering interest and arises when a linear time-invarant dynamics is identified ... -
Subspace-based spectrum estimation by reweighted and regularized nuclear norm minimization in frequency-domain
(IEEE, 2015)In this paper, we study model order choice in subspace-based identification algorithms using nonuniformly spaced spectrum measurements. A critical step in these methods is splitting of two invariant subspaces associated ... -
Spectrum estimation in innovation models by a nuclear norm optimization based algorithm
(IEEE, 2017)In this paper, identification of multi-input/multioutput (Ml MO) state-space models in the innovation form by a regularized-nuclear norm optimization based subspace algorithm is studied. Parametrization issues arc carefully ...
