Search Results - (optical OR optimal) ((burst algorithm) OR (((rsa algorithm) OR (_ algorithm))))
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1
Quality-of-service provisioning using hierarchical scheduling in optical burst switched network.
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Parallel Optical Burst Switching (POBS) for Ultra-Dense WDM (U-DWDM) systems
Published 2023“…This paper introduces, as a variant of OBS, a new optical switching strategy for Ultra-Dense WDM (U-DWDM), named Parallel Optical Burst Switching (POBS). …”
Conference paper -
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CPU Burst Processes Prioritization Using Priority Dynamic Quantum Time Algorithm: A Comparison with Varying Time Quantum and Round Robin Algorithms
Published 2015“…The simple Round-Robin algorithm has been improved by about 40%. By controlling quantum time according to the priorities and burst times of the processes, we experience fewer context switches and shorter waiting and turnaround times, thereby obtaining higher throughput…”
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An Adaptive Error Correction Scheme For Synchronous Digital Hierarchy-Based Wavelength Division Multiplexed Optical Network
Published 2007“…This is achieved by using the combination of B2 error and corrected error count as the input parameters for the algorithm. Then the algorithm is designed in such a way that it adaptively assigns a suitable value of error correction capability, t for error correction, and the number of corrected errors is maintained not exceeding t/2. …”
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Thesis -
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Adaptive waveband granularity algorithm in parallel optical burst switching (AWAGA-POBS)
Published 2023text::Thesis -
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Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Published 2018“…An exhaustive searching process of finding an optimal parameter value is another challenge. Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. …”
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New signed-digit {0,1,3}-NAF scalar multiplication algorithm for elliptic curve over binary field
Published 2011“…Efficiently managed point operations can give optimal number of point operations involved throughout the execution of the scalar multiplication algorithm and can reduced cost of the scalar multiplication.…”
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Thesis -
8
Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm
Published 2025“…Through extensive simulations across various static environment maps, we demonstrate that the ABGPSO algorithm outperforms existing state-of-the-art optimization techniques, including Genetic Algorithms (GA), Grey Wolf Optimization (GWO), and modern optimizers like the Sine Cosine Algorithm (SCA), Harris Hawks Optimization (HHO) and Reptile search algorithm (RSA). …”
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A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…Simultaneously, Cultural Algorithms (CA) will be exploited to optimize the performance of proxy caching in accumulating the knowledge between each generation. …”
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10
Appliance level stand-by burst forecast modelling using machine learning techniques
Published 2020“…This work proposes a technique to model power consumption data and presents a comparative study of five different machine learning algorithms to study their suitability to forecast an appliance's state and standby burst. …”
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Thesis -
11
Modified Data Encryption Standard Algorithm for Textbased Applications
Published 2006“…In this study comparison between the proposed algorithm and RSA algorithm (asymmetric algorithm) was examined and successful results were obtained. …”
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12
New approach of cryptography algorithm for e- mail applications
Published 2005“…In this study comparison between the proposed algorithm and RSA algorithm (asymmetric algorithm) was examined and successful results were obtained. …”
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Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…Both radix-2 and radix-4 FNT modules are implemented and a further design of radix-4 FNT module, named radix-4 CTFNT module that is optimized to fit the multiplication algorithm we used is proposed. …”
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Final Year Project / Dissertation / Thesis -
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Multilevel optimization for dense motion estimation
Published 2011“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
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Monograph -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Thesis -
17
Dyeing process parameter optimization and quality characteristics modeling for viscose blended knitted fabrics / Md Ismail Hossain
Published 2016“…Conventional trial-and-error approaches, full factorial experimental design as well as artificial neural network (ANN) and genetic algorithm for optimization did not succeed due to the large volume of works, longer experimental time and huge raw material availability. …”
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18
A multi-beam optical scanning device.
Published 2008“…The artificial intelligent system is adapted for regulating the operation of the scanner head in synchronization in scanning sequences in response to the data inputted and according to the genetic algorithm. The artificial intelligent system regulates the scanning head via the controlling unit and the genetics algorithm is adapted to optimize the scanning speed and implement the optimal scanning sequences. …”
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Patent -
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The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…Initially, a motion recognition model based on STN and Lucas–Kanade optical flow algorithm optimization was constructed. …”
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