Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 2401-2420
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Short-Term Wind Speed Prediction Using Several Artificial Neural Network Approaches in Eskisehir
(IEEE, 2015)Due to the negative environmental impact of using fossil energy sources and depletion of fossil fuels, the alternative energy sources are being searched all over the world. Since wind energy is clean and renewable, the ... -
On the orthogonality of block wavelet transforms
(IEEE, 2006)In this paper, orthogonality of Block Wavelet Transforms (BWT) is shown. First the orthogonality of one-stage and two-stage Block Wavelet Transforms is shown, then the result is generalized for multi-stage Block Wavelet Transform. -
Dgridsim: a Real-Time Data Grid Simulator With Hierarchical Job and Data Scheduling
(Insticc-Inst Syst Technologies Information Control & Communication, 2011)In this study, DGridSim, a process oriented and discrete-event driven all-in-one Data Grid simulator, is introduced, and some initial simulation results are reported to validate its operation. DGridSim has some distinguishing ... -
An Efficient Low Area Implementation of 2-D DCT on FPGA
(IEEE, 2015)This paper presents the design and implementation for 2-D discrete cosine transform (DCT) with the goal of achieving low area utilization and high-speed operation on FPGAs. The design is based on the row-column decomposition ... -
DGridSim: a multi-model discrete-event simulator for real-time data grid systems
(SAGE Publications LTD, 2014)Data grid systems are utilized to share, manage, and process large data sets. On the other hand, an increasing number of applications with real-time constraints arise in several disciplines of science and engineering. The ... -
Low Loss Atomic Layer Deposited Al2O3 Waveguides for Applications in On-Chip Optical Amplifiers
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)We present the growth and optimization of ultralow loss Si-based Al2O3 planar waveguides, which have a high potential to boost the performance of rare-earth ion doped waveguide devices operating at visible and C-band ... -
Control of Optical Amplification Process with Extremely Low Background Loss in Er:Al2O3 Waveguides
(IEEE, 2017)We report on record low-loss single mode a-Al2O3 planar waveguides and growth optimization of a-Er2O3 layers to control erbium-doping level of a-Al2O3 layers realized using Atomic Layer Deposition (ALD). Effect of growth ... -
Extensive mode mapping and novel polarization filter design for ALD grown Al2O3 ridge waveguides
(Springer, 2016)In this work we report on realistic simulations aiming at extending our design knowledge on the fabrication and optimization of highly efficient integrated optical waveguide amplifiers. We focus specifically on atomic layer ... -
Dimmable Street Lighting Application Using a Microcontroller
(University Osijek, Tech Fac, 2017)This article describes an energy saving system of road lighting suited for different lighting scenarios. The designed system is applied in a university campus for a 12-month period with a resulting 24,1 % electric energy ... -
Coin Recognition based on Geometric Features
(IEEE, 2015)In this study, it is aimed to count the total amount in an image of coins using machine vision methods. The extrinsic parameters of the camera whose intrinsic parameters are already known are estimated relative to the plane ... -
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. ... -
Solar Electricity Potential Based on ArcGIS Maps and Consumption of Energy for Engineering Faculty Buildings in Anadolu University
(IEEE, 2017)It is very significant to predict the solar energy potential correctly while solar panel applications arc being carried out. This study describes a model for prediction of solar energy potential and compares the prediction ... -
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 ...