TRACON: Interference-Aware Schedulingfor Data-Intensive Applicationsin Virtualized Environments Abstract? TRACON: Interference-Aware Schedulingfor Data-Intensive Applicationsin Virtualized Environments. Large-scale data centers leverage virtualization technology to achieve excellent resource utilization, scalability, and high availability. Ideally, the performance of an application running inside a virtual machine (VM) shall be independent of co-located applications and VMs that share the physical machine….
Traffic Sign Recognition for Intelligent Vehicle/Driver Assistance System Using Neural Network on OpenCV Abstract? Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety…
Traffic Signal Detection Abstract?Traffic Signal Detection. Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT)…
Transformer-Less Unified Power-Flow Controller Using the Cascade Multilevel Inverter Abstract?The conventional unified power-flow controller (UPFC) that consists of two back-to-back inverters requires bulky and often complicated zigzag transformers for isolation and reaching high voltage. < final year projects > View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides…
Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods Abstract? Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. we propose a comparative study of various segmentation methods applied to the extraction of tree leaves from natural images. This study follows the design of a…
TREE-METRICS GRAPH CUTS FOR BRAIN MRI SEGMENTATION WITH TREE CUTTING Abstract?We tackle the problem of brain MRI image segmentation using the tree-metric graph cuts (TM) algorithm, a novel image segmentation algorithm, and introduce a ?tree-cutting? method to interpret the labeling returned by the TM algorithm as tissue classification for the input brain MRI image. The…
Tumor Recognition in Wireless Capsule Endoscopy Images Using Textural Features and SVM-Based Feature Selection Abstract? Tumor in digestive tract is a common disease and wireless capsule endoscopy (WCE) is a relatively new technology to examine diseases for digestive tract especially for small intestine. This paper addresses the problem of automatic recognition of tumor < Final...
Two cooperative ant colonies for feature selection using fuzzy models Abstract? The available set of potential features in real-world databases is sometimes very large,< Final Year Projects > and it can be necessary to find a small subset for classification purposes. One of the most important techniques in data pre-processing for classification is feature selection….
Two-Way OFDM-Based Nonlinear Amplify-and-Forward Relay Systems Abstract? We derive closed-form outage probability expressions for fixed-gain (FG) and variable-gain (VG) two-way amplify-and-forward (AF) relay networks subject to a nonlinear transmission at the relay. We then derive an explicit expression for the relay gain that optimizes the network?s performance. Finally, we show that, if the source nodes…
Two-Way Satellite Relaying With Estimated Channel Gains Abstract? we consider the two-way relaying of the data of two earth stations (ESs) via satellite links. The satellite is considered to be of transparent type, which only receives the signals over the uplink and broadcasts these signals with some transponder gain over its downlink frequencies. The two-way…
Ultrasound Image Denoising using a Combination of Bilateral Filtering and Stationary Wavelet Transform Abstract?Abstract Medical image degradation has a significant impact on image quality, and thus affects human interpretation and the accuracy of computer-assisted diagnostic techniques.Unfortunately, Ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, despekle filtering is a critical preprocessing step…
Underwater Image Restoration based on Image Blurriness and Light Absorption Abstract?Abstract Underwater images often suffer from color distortion and low contrast because light is scattered and absorbed when traveling through water. Such images with different color tones can be shot in various lighting conditions, making restoration and enhancement difficult. We propose a depth estimation method…
