Showing 25–36 of 1268 results
A Coordinated Control Approach for DC link and Rotor Crowbars to Improve Fault Ride-Through of DFIG based Wind Turbine Abstract– Nowadays, most double fed induction generators (DFIGs) based wind turbines are equipped with rotor crowbar connected in parallel with the rotor side converter (RSC). The parallel rotor side crowbar (PRSC) is used to protect the…
A Current Control Scheme of Brushless DC Motors Driven by Four-Switch Three-Phase Inverters Abstract-Based on brushless DC motors (BLDCM) driven by four-switch three-phase inverter (FSTPI), a current control scheme is proposed to reduce the current ripple of both normal conduction region and commutation region. Assuming c-phase winding is connected to the middle point of DC-link…
A Decomposition Framework for Image Denoising Algorithms Abstract? A Decomposition Framework for Image Denoising Algorithms. we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry < Final Year Projects 2016 >…
A Directional-Edge-Based Real-Time Object Tracking System Employing Multiple Candidate-Location Generation Abstract-A Directional-Edge-Based Real-Time Object Tracking System Employing Multiple Candidate-Location Generation. We present a directional-edge-based object tracking system based on a field-programmable gate array (FPGA) that can process 640 ? 480 resolution video sequences and provide the location of a predefined object in real time. Inspired…
A Discriminative Model of Motion and Cross Ratio for View-Invariant Action Recognition Abstract? Action recognition is very important for many applications such as video surveillance, human-computer interaction, and so on; view-invariant action recognition is hot and difficult as well in this field. In this paper, a new discriminative model is proposed for video-based view-invariant action…
A Diversity-Multiplexing Tradeoff Optimal Low Complexity Zero Forcing Method Based on ZP-OFDM Abstract? Due to the computational complexity of maximum-likelihood signal decoding, the equalizers with less complexity are considered in the literature. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File…
A Dual Active Bridge Based Single Phase AC to DC Power Electronic Transformer With Advanced Features Abstract-Power Electronic Transformers (PET) offer the advantage of size and weight reduction compared to line frequency transformers by operating at much higher frequencies than line frequency. In this paper, a push-pull based AC/DC PET has been proposed and analyzed….
A Dual Series-Resonant DC-DC Converter Abstract– A dual series-resonant DC-DC converter with zero voltage switching (ZVS) and zero current switching (ZCS) features is proposed in this paper. The topology consists of two switches and a clamping capacitor on the primary side of an isolating transformer. The two switches are operated in complementary mode under pulse…
A Dual-Band Highly Miniaturized Patch Antenna Abstract? A highly miniaturized dual-band patch antenna is proposed for small form factor (SFF) devices. The antenna is designed to cover two wireless local area network (WLAN) bands at 2.4 and 5.2 GHz. The antenna is miniaturized using a shorting post and a novel defected ground structure (DGS). The…
A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method Abstract? A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.Feature selection involvesidentifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract-Live fish recognition is one of the most crucial elements of fisheries survey applications where vast amount of data are rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, as well as…
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