Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 355, listelenen: 122-141
-
Greedy Search for Descriptive Spatial Face Features
(IEEE, 2017)Facial expression recognition methods use a combination of geometric and appearance-based features. Spatial features are derived from displacements of facial landmarks, and carry geometric information. These features are ... -
GRID matching in Monte Carlo Bayesian compressive sensing
(2013)Sparse signal reconstruction from compressive measurements assumes a grid of possible support points from which to estimate the signal support set. However, reconstruction of high measurement resolution waveforms is very ... -
Grid Matching in Monte Carlo Bayesian Compressive Sensing
(IEEE, 2013)Sparse signal reconstruction from compressive measurements assumes a grid of possible support points from which to estimate the signal support set. However, reconstruction of high measurement resolution waveforms is very ... -
H-based flow control for ATM networks with multiple bottlenecks
(2005)in this paper, the implementation of an H? controller, designed in another work for the flow control in communication networks with a single bottleneck, is considered for asynchronous transfer mode (ATM) networks with ... -
An H-infinity and Skyhook Controller Design for a High Speed Railway Vehicle
(Elsevier Science BV, 2018)The electronic-based recently developed railway vehicles compromising at high speeds by consuming eco-friendly energy and providing better transportation facilities without complicating the car designs. In this study, the ... -
Hardware Trojans in Incompletely Specified On-chip Bus Systems
(IEEE, 2016)The security, functionality, and performance of the on-chip bus system is critical in an SoC design. We highlight the susceptibility of current bus implementations to Hardware Trojans hiding in unspecified functionality. ... -
Hardware Trojans in incompletely specified on-chip bus systems
(Institute of Electrical and Electronics Engineers Inc., 2016)The security, functionality, and performance of the on-chip bus system is critical in an SoC design. We highlight the susceptibility of current bus implementations to Hardware Trojans hiding in unspecified functionality. ... -
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 ... -
HEp-2 cell classification using a deep neural network trained for natural image classification [Dogal Imge Siniflandirmak için Egitilmis bir Derin Sinir Agi ile HEp-2 Hücresi Siniflandirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 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 ... -
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 ... -
A home energy management system
(SAGE Publications LTD, 2018)In this study, an offline home energy management system that reduces electricity expense and peak demand without deteriorating residents' contentment is considered. The main goal is to improve the system in the sense of ... -
A Home Power Management System Using Mixed Integer Linear Programming for Scheduling Appliances and Power Resources
(IEEE, 2016)In this work, a home power management system is proposed to minimize electricity cost and reduce high peak demand while maintaining user comfort. The system is composed of smart electrical appliances, which are divided ... -
A home power management system using mixed integer linear programming for scheduling appliances and power resources
(IEEE Computer Society, 2017)In this work, a home power management system is proposed to minimize electricity cost and reduce high peak demand while maintaining user comfort. The system is composed of smart electrical appliances, which are divided ... -
Identification of acoustic spectra for fault detection in induction motors
(IEEE, 2013)In this paper, we study fault detection problem for induction motors by using a recently developed cross-power spectral density estimation algorithm from sound measurements. In a test rig, from multiple experiments the ... -
Identification of power spectra by reweighted and regularized nuclear norm minimization
(IEEE, 2015)In this paper, we study model order choice in subspace identification algorithms using uniformly spaced spectrum measurements. In these algorithms, model order is determined by singular-value decomposition of a structured ... -
Image Gradient Estimation with Wide Support Kernels
(IEEE, 2008)Gradient estimation using small support kernels is often used in edge detection algorithms. Small kernels such as Sobel and Roberts are often used in order to obtain gradient estimation in a short time. However, the limited ... -
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. ... -
Improvements on common vector approach for multi class problems
(2005)In multi-class problems, within- and between-class scatters should be considered in classification criterion. The common vector approach (CVA) uses the discriminative information obtained from within-class scatter of any ... -
Improvements on isolated word recognition using FLDA [FLDA kullanarak ayrik kelime tanimada yapilan iyileştirmeler]
(2005)The purpose of this study is to increase the recognition rates of the isolated word using improved Fisher's Linear Discriminant Analysis (FLDA). Therefore, at first, unique subspace for each class is constructed by defining ...
