Search Results - optical ((window algorithm) OR (((mining algorithm) OR (learning algorithm))))
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1
Windows-Based bandwidth allocation on optical networks
Published 2009“…We hope in the next article we will make a comparison table among static and dynamic bandwidth allocations algorithms and propose an algorithm on dynamic bandwidth allocation and evaluate our proposed algorithm.…”
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Conference or Workshop Item -
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Parallel Optical Window Algorithm Applied to Optical Multistage Interconnection Network
Published 2008“…In this paper, a new parallel algorithm of the window method is developed called the Balanced Parallel Window Method (BPWM) algorithm. …”
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3
Router-Based bandwidth allocation on optical networks
Published 2009“…Ethernet passive optical networks, which influence the all of subscriber locations of Ethernet, seems bound for success in the optical access network. …”
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Conference or Workshop Item -
4
Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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Thesis -
5
Static bandwidth allocation on optical networks
Published 2009“…Ethernet passive optical networks, which influence the all of subscriber locations of Ethernet, seems bound for success in the optical access network. …”
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Conference or Workshop Item -
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Fast method to find conflicts in optical multistage interconnection networks
Published 2008“…This algorithm applies Omega network. The comparison result shows the good performance of this algorithm. …”
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Article -
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Fast ZeroY algorithm for efficient message routing in optical multistage interconnection networks
Published 2008“…Based on the Zero algorithms, we proposed a fast and efficient crosstalk-free algorithm for message routing in optical Omega multistage networks. …”
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…Results show that the proposed algorithm required a learning dataset size as small as 5 samples and was resistant to learning labelling error up to 50%.…”
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Thesis -
10
Machine learning approach for automated optical inspection of electronic components
Published 2019“…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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Final Year Project / Dissertation / Thesis -
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Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.
Published 2006“…The estimation for energy efficient lighting design shows that the daylight from the optical fibre with automated dimming control together with general windows has percentage energy saved of around 67% for the scaled models and cost-effectiveness of the optical fibre daylighting system with Fuzzy Logic automated lighting-dimming control has the potential for a reduction in energy consumption for buildings in Malaysia.…”
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Thesis -
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Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring
Published 2023“…Brillouin scattering; Concretes; Curve fitting; Data handling; Extraction; Fiber optic sensors; Fiber optics; Learning algorithms; Machine learning; Structural health monitoring; BOTDA; Brillouin frequency shift extraction; Brillouin frequency shifts; Brillouin gain spectrum; Correlation techniques; Distributed fiber-optic sensors; Frequency shift; Generalized linear model; Low signal-to-noise ratio; Prediction accuracy; Signal to noise ratio; algorithm; fiber optics; noise; signal noise ratio; Algorithms; Fiber Optic Technology; Noise; Signal-To-Noise Ratio…”
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Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor
Published 2023“…This paper demonstrates a comparative analysis of five machine learning (ML) algorithms for improving the signal processing time and temperature prediction accuracy in Brillouin optical time domain analysis (BOTDA) fiber sensor. …”
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Generalized linear model for enhancing the temperature measurement performance in Brillouin optical time domain analysis fiber sensor
Published 2023“…Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed temperature sensing; Generalized linear model; Low signal-to-noise ratio; Temperature prediction; Temperature resolution; Time domain analysis…”
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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network
Published 2015“…Fundus image is the interior surface of the eye that includes the optic nerves, macula and retinal blood vessels. The optic nerve which is responsible for transmitting of electrical impulses from the retina to the brain is connected to the back of the eye near the macula has a visible portion of the optic nerve called the optic disc. …”
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Monograph -
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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Thesis -
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Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…An alternative method is proposed, utilizing machine learning algorithms. Therefore, this thesis explores the comparative analysis for BOTDA data processing using the six most suited machine learning algorithms. …”
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Video Object Avoidance Implementation on Embedded Platform
Published 2015“…Both motion and static detection algorithms will be tested in Window Visual Studio 2010, before implementing them into the embedded platform, which is Raspberry Pi. …”
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Final Year Project
