Search Results - (( using function _ algorithm ) OR ( parallel implementation case algorithm ))
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1
Parallel Execution of Runge-Kutta Methods for Solving Ordinary Differential Equations
Published 2004“…All the numerical results are given to illustrate the algorithms developed for the cases that we were tested. …”
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Thesis -
2
Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…The aim of this thesis is to develop hardware design for palm-dorsa vein image enhancement algorithm. The algorithm is designed in hardware using hardware description language for hardware realization. …”
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3
Design and implementation of multimedia digital matrix system
Published 2005“…This feature is valuable to simplify the process of frequency synthesis. The algorithm is implemented in programmable logic platform to synchronize multiple of audio PCM channels through an optical fiber. …”
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4
Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm
Published 2009“…This method also enables us to design the controller to work as PDFLC, PIFLC or PIDFLC depending on two (one-bit) external signals with programmable fuzzy sets and programmable rule table using VHDL language for implementation on FPGA device, and to employ the new technique of fuzzy algorithm in order to serve a wide range of the physical systems which require a real-time operation. …”
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5
Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…This thesis describes the implementations of new parallel and sequential algorithms for electromagnetic wave propagation from a monopole antenna. …”
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6
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…In the last stage, an extended Gravitational Search Algorithm (GSA) as a parallel search algorithm and high convergence rate into high quality final solutions is used to solve the proposed mathematical model and to achieve the Pareto set of solution. …”
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7
Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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8
Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath.
Published 2001“…For commercial CFD packages, in many cases the solution algorithms are black boxes, even though parallel computing helps in many cases to overcome the limitations, as shown here. …”
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9
Hybrid anti-islanding algorithm for utility interconnection of distributed generation
Published 2009“…Using total harmonic distortion (THD) as an additional parameter is proposed in this paper. Passive detection algorithm uses several types of loads such as resistive, capacitive and inductive connected in parallel and compares the performance of the algorithm in each case.…”
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10
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. …”
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11
A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)
Published 2024“…A case study was implemented with twenty-seven jobs in four stages comprising bending, lathe, milling, and wire-cut machines. …”
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12
Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008“…This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). …”
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13
A test case generation framework based on UML statechart diagram
Published 2018“…The proposed algorithms provide correct results, and the prototype is able to generate test case effectively. …”
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14
Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
Published 2022“…The proposed HFS-EC model and MFO algorithm has a great potential to be implemented in other scheduling case study due to benefit of reducing carbon emission and at the same time maintain the production output.…”
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15
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Based on literature, stereo algorithm is already being implemented to solve the distance measurement problem. …”
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16
Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network
Published 2005“…Zero algorithms have been tested with many cases and the results are compared to the results of the other established algorithms. …”
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17
Human gait recognition and classification using similarity index for various conditions
Published 2013“…Gait recognition is usually referred to signify the human identification by the style/way people walk in image sequences. Our aim is to implement the traditional gait recognition algorithm and to show the variation in gait recognition when subject is observed parallel to camera under three conditions- walking normal, carrying a bag and wearing a coat. …”
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Proceeding Paper -
18
Human gait recognition and classification using similarity index for various conditions
Published 2013“…Gait recognition is usually referred to signify the human identification by the style/way people walk in image sequences. Our aim is to implement the traditional gait recognition algorithm and to show the variation in gait recognition when subject is observed parallel to camera under three conditions- walking normal, carrying a bag and wearing a coat. …”
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19
New CFAR algorithm and circuit development for radar receiver
Published 2020“…Therefore, the MSS-CA-CFAR is chosen to implement by practical digital circuit and there is another important feature in the MSS-CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that makes this algorithm much less in processing time from any other algorithm using the same environment. …”
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