Search Results - parallel using real algorithm*
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1
Reference-pulse CNC parametric curve real-time interpolator parallel algorithm using parallel programming
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2
Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle
Published 2011“…The present paper develops a real-time clutch transition strategy for a parallel hybrid electric vehicle (HEV) in order to achieve quick and smooth clutch transition engagements between pure electrical driving and hybrid driving. …”
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3
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…An electronic board, transistor relay driver circuit, is designed for the purpose of establishing communication interface between the computer, adaptive learning algorithm and the actuator mechanism. Design and development an adaptive learning algorithm controller ALAC of position the actuators is presented in real time parallel manipulator based on artificial neural network ANN. …”
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Thesis -
4
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…Best Hammerstein parallel NN polynomial based model and series-parallel NN polynomial model are 88.75% and 93.9% respectively, for best Hammerstein parallel NN sigmoid based model and series-parallel NN sigmoid based model 78.26% and 95.95% respectively, and for best Hammerstein parallel NN hyperbolic tangent based model and series-parallel NN hyperbolic tangent based model 70.7% and 96.4% respectively. …”
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5
Enhanced and effective parallel optical flow method for vehicle detection and tracking
Published 2016“…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
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6
Parallel form of the pipelined intermediate architecture for two-dimensional discrete wavelet transform
Published 2009“…In this paper, we explore parallelism in order to best meet real-time applications of 2-D DWT with demanding requirements in terms of speed, throughput, and power consumption. …”
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7
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…In the real time stream processing framework the experiments were performed using STORM with a use-case data-intensive workflow (EURExpressII). …”
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Thesis -
8
An efficient parallel clustering algorithm on big data using Spark
Published 2022“…Here we are proposing a new parallel fuzzy clustering algorithm called "An efficient parallel clustering algorithm on big data using spark" which deals with real-time processing. …”
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9
Parallel metaheuristic algorithm for route planning using CUDA
Published 2025“…This research will be focusing on developing a Parallel Metaheuristic Algorithm for Route Planning using CUDA to improve the efficiency and performance of route planning. …”
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Final Year Project / Dissertation / Thesis -
10
Control Input Converter for Robot’s Leg Joint with Parallel Actuation Configuration
Published 2015“…This paper presents the proposed control input converter (CiC) for robot leg's joint control with parallel actuation. The parallel actuation commonly used in heavy machine such as backhoe and bulldozer. …”
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11
Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…This paper proposes the web service education technology for postgraduate parallel computing course, e-learning students, real-time solutions and for supervising projects related to the application of parallel computing, that focuses on the fundamental principles to parallel computer architecture, multimedia, communication cost, master-worker model, parallel algorithm, web services and performance evaluations. …”
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12
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…There are two types of problem tasks in this thesis. The first type using ideal- images as learning data and the second one using real camera captured images. …”
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13
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The first type using ideal- images as learning data and the second one using real camera captured images. …”
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Undergraduates Project Papers -
14
Parallel Kalman filter-based multi-human tracking in surveillance video
Published 2014“…A novel approach to robust and flexible person tracking using an algorithm that integrates state of the arts techniques; an Enhanced Person Detector (EPD) and Kalman filtering algorithm. …”
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15
Development of Lifting-based VLSI Architectures for Two-Dimensional Discrete Wavelet Transform
Published 2010“…Then, the intermediate architecture is developed, which aim a·: reducing the power consumption of the overlapped areas without using the expensive line buffer. In order to best meet real-time applications of 2-D DWT with demanding requirements in terms of speed and throughput parallelism is explored. …”
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16
A spark-based parallel fuzzy C median algorithm for web log big data
Published 2022“…Based on the Rand Index and SSE (sum of squared error), the parallel Fuzzy C median algorithm's performance is evaluated in the PySpark platform. …”
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Article -
17
Resource Minimization in a Real-time Depth-map Processing System on FPGA
Published 2011“…Depth-map algorithm allows camera system to estimate depth. It is a computational intensive algorithm, but can be implemented with high speed on hardware due to the parallelism property. …”
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18
Measuring GPU-accelerated parallel SVM performance using large datasets for multi-class machine learning problem
Published 2023Conference Paper -
19
Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…For hardware design of thinning, parallel pipelined with Concurrent Condition Check Unit hardware architecture has been developed to enable the parallelism of the thinning algorithm. …”
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20
A parallel ensemble learning model for fault detection and diagnosis of industrial machinery
Published 2023“…The proposed model is validated through a series of experiments using two benchmark data sets, i.e., CWRU and MAFaulD. …”
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