Showing 37–48 of 1333 results
A Distributed Multi-path Routing Algorithm to Balance Energy Consumption in Wireless Sensor Networks Abstract-A large use of applications of Wireless Sensor Networks (WSNs) pushes researchers to design and improve protocols and algorithms against the encountered challenges. One of the main goals is data gathering and routing to the base station (through the sink nodes) with…
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 Dynamical and Load-Balanced Flow Scheduling Approach for Big Data Centers in Clouds Abstract? Load-balanced flow scheduling for big data centers in clouds, in which a large amount of data needs to be transferred frequently among thousands of interconnected servers, is a key and challenging issue. The OpenFlow is a promising solution to balance data…
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 the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, and…
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…
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations Abstract-We here introduce a novel classification approach adopted from the nonlinear model identification framework, which jointly addresses the feature selection (FS) and classifier design tasks. The classifier is constructed as a polynomial expansion of the original features and a selection process is…
A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy Abstract– Abstract?Fuzzy clustering algorithms generally treat data points with feature components under equal importance. However, there are various datasets with irrelevant features involved in clus tering process that may cause bad performance for fuzzy cluster- ing algorithms. That is, different feature components should take different importance….
A First Public Research Collection of High Resolution Latent Fingerprint Time Series for Short- and Long-Term Print Age Estimation Abstract– The creation of publicly available image databases for the signal processing community is a very time-consuming, yet immensely valuable task, enabling scientific progress by providing the opportunity of an objective comparison and reproduction of results….
A framework for processing large scale geospatial and remote sensing data in MapReduce environment Abstract?In recent years distributed data processing has reached many areas of computer science including geographic and remote sensing information systems. With the continuing increase of data, existing algorithms and data management need to be moved to new architecture, which may require…
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