Başlık için Elektrik ve Elektronik Mühendisliği Bölümü listeleme
Toplam kayıt 552, listelenen: 208-227
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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 design and implementation of a novel ANN-based chaotic generator in FPGA
(Elsevier GMBH, 2016)This paper presents a novel hardware implementation of Artificial Neural Networks (ANNs) for modeling of the Pehlivan-Uyaroglu Chaotic System (PUCS) on Field Programmable Gate Array (FPGA). There are two main parts in 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. ... -
Harmonic analysis based hourly solar radiation forecasting model
(Inst Engineering Technology-Iet, 2015)In this study, a novel two-step hourly solar radiation modelling procedure is developed. In the first step, hourly solar radiation data of a single day is considered and its periodic Fourier series coefficients are calculated. ... -
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 ... -
Highly polarized light emission by isotropic quantum dots integrated with magnetically aligned segmented nanowires
(Amer Inst Physics, 2014)In this work, we demonstrate a proof-of-concept system for generating highly polarized light from colloidal quantum dots (QDs) coupled with magnetically aligned segmented Au/Ni/Au nanowires (NWs). Optical characterizations ... -
Hilbert-Huang Transform Based Approach for Measurement of Voltage Flicker Magnitude and Frequency
(Taylor & Francis Inc, 2015)Voltage flicker is a non-stationary waveform for which direct spectral analysis is not appropriate. To overcome this difficulty, a Hilbert-Huang transform based technique is proposed here. Hilbert-Huang transform is a new ... -
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 ... -
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
(Icic Int, 2011)In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ... -
Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
(Pergamon-Elsevier Science LTD, 2008)In this work, the hourly solar radiation data collected during the period August 1, 2005-July 30, 2006 from the solar observation station in Iki Eylul campus area of Eskisehir region are studied. A two-dimensional (2-D) ... -
A Hysteresis Model for Fixed and Sun Tracking Solar PV Power Generation Systems
(MDPI, 2018)In this study, a new solar photovoltaic (PV) panel output power model is proposed. The model is constructed as a function of ambient temperature and solar radiations for two types (fixed panel and sun tracking panel) of ... -
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 continuous-time power spectra by generalized Fourier series
(Chinese Automatic Control Soc, 2007)In this paper, we present a generalized Fourier series based algorithm for the identification of continuous-time, linear-time invariant systems from power spectrum measurements. The algorithm is strongly consistent and it ... -
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 ...