Search Results - (( java simulation optimization algorithm ) OR ( using compressive case algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Second compression for pixelated images under edge-based compression algorithms: JPEG-LS as an example
Published 2021“…This paper details the examination of a particular case of data compression, where the compression algorithm removes the redundancy from data, which occurs when edge-based compression algorithms compress (previously com- pressed) pixelated images. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Machine learning technique for the prediction of blended concrete compressive strength
Published 2024“…The best predictions were achieved using one hidden layer with 14 and 15 neurons for LM and BR algorithms respectively. …”
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A comparative review on symmetric and asymmetric dna-based cryptography
Published 2023“…Asymmetric cryptography was considered in the second case by incorporating the DNA codes in RSA algorithm. …”
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Wavelet-based compression of medical images: Filter-bank selection and evaluation
Published 2003“…Wavelet-based image coding algorithms (lossy and lossless) use a fixed perfect reconstruction filter-bank built into the algorithm for coding and decoding of images. …”
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Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
Published 2013“…Discrete cosine transform (DCT) and compressive sensing are used for EEG signals acquisition and compression.To obtain low-complexity energy-efficient, the best data accuracy with higher compression ratio is sought. …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform
Published 2007“…On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. …”
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Image authentication using Zernike moment watermarking
Published 2013“…Experimental results showed that this algorithm achieves better bit error rate against JPEG compression, rotation, scale and noise attacks in comparison with other reviewed schemes in this work. …”
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Computational Analysis of Gas Kinetic Bhatnagar-Grosskrook Scheme for Inviscid Compressible Flow
Published 2004“…In addition, an implicit time integration method known as the Approximate Factorization-Alternating Direction Implicit (AF-ADI) would be employed when dealing with two-dimensional flow problems in higher-order.In order to investigate the computational characteristics of the BGK scheme in detail, several cases of shock-shock interaction problem have been numerically analyzed.Developed code for the onedimensional flow is validated with three typical test cases, namely,quasi-onedimensional supersonic-subsonic nozzle flow, shock tube, and two interacting blast waves.Likewise,four typical two-dimensional test cases that are found in the literatures are used to validate the developed code for the two-dimensional flow.They are regular shock reflection,supersonic flow over a wedge, channel with a fifteen-degree ramp, and flow past a cylinder.From these validation cases, computed results are compared with the available exact solutions and with other computational results obtained by using some well known numerical discretization schemes.In comparison,the BGK scheme exhibits the most accurate shock resolution capabilities,least diffusiveness, least oscillatory,and great robustness.…”
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