Search Results - (( developing event extraction algorithm ) OR ( java simulation optimization algorithm ))

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  1. 1
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The simulation is implemented with iFogSim and java programming language. …”
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  2. 2
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    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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    Thesis
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  3. 3
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
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  4. 4
    Fatigue Features Extraction of Road Load Time Data Using the S-Transform

    Fatigue Features Extraction of Road Load Time Data Using the S-Transform by S., Abdullah, Che Ku Eddy Nizwan, Che Ku Husin, M. F. M., Yunoh, M. Z., Nuawi, Z. M., Nopiah

    Published 2013
    “…The algorithm can be used to extract the fatigue damaging events and these events were combined in order to produce a new edited signal which neglect the low amplitude cycles. …”
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  5. 5
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    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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  6. 6
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    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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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    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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  8. 8
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    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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    Monograph
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  9. 9
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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  10. 10
    “Analysis of EEG Recordings During Grasp and Lift (GAL) Trials

    “Analysis of EEG Recordings During Grasp and Lift (GAL) Trials by Musa, Huwaida

    Published 2018
    “…There are two types of investigation which are classification with feature extraction and without feature extraction. Throughout this project, we managed to get the classification accuracy of 6 events for 26.6% and 58.5% while for 2 events of up to 67.4% and 96% using 6 channels for both algorithms respectively.…”
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    Final Year Project
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  11. 11
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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    Conference or Workshop Item
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  12. 12
    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection

    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

    Published 2022
    “…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
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    Final Year Project Report / IMRAD
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  13. 13
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…At first, a peak classification algorithm is developed based on the general following processes including peak candidate identification, feature extraction, and classification. …”
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  14. 14
    Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E

    Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E by Oad, Aneel

    Published 2013
    “…In this research, two algorithms tailored at enhancing the performance of hybrid algorithms in the WiMAX domains have been designed and developed. …”
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  15. 15
    Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting

    Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting by Othman, Mohammad Lutfi, Aris, Ishak, Abdul Wahab, Noor Izzri

    Published 2014
    “…This is justified by the practicality and necessity of divulging the decision algorithm hidden in the recorded relay event report using computational intelligence-based data mining. …”
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  16. 16
    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review

    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

    Published 2020
    “…Several theoretical studies have been performed to detect and predict fluid loss event during hydrocarbon extraction. This paper reviews the existing conventional and intelligent models developed for early detection and prediction of lost circulation events. …”
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  17. 17
    Walking gait event detection based on electromyography signals using artificial neural network

    Walking gait event detection based on electromyography signals using artificial neural network by Nazmi, Nurhazimah, Abdul Rahman, Mohd Azizi, Yamamoto, Shin Ichiroh, Ahmad, Siti Anom

    Published 2019
    “…In many gait applications, the focal events are the stance and swing phases. Although detecting gait events using electromyography signals will help the development of assistive devices such as exoskeleton, orthoses, and prostheses, stance and swing phases have yet to be observed using electromyography signals. …”
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  18. 18
    MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA

    MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA by Lim, Sin Chee, Ooi, Chia Ai, Hariharan, Muthusamy, Sazali, Yaacob, Prof.

    Published 2010
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    Working Paper
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  19. 19
    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

    Published 2024
    “…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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  20. 20
    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review

    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

    Published 2020
    “…Several theoretical studies have been performed to detect and predict fluid loss event during hydrocarbon extraction. This paper reviews the existing conventional and intelligent models developed for early detection and prediction of lost circulation events. …”
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