Search Results - (( parallel optimization sensor algorithm ) OR ( _ utilization data algorithm ))

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  1. 1
    DC-based PV-powered home energy system

    DC-based PV-powered home energy system by Sabry, Ahmad H.

    Published 2017
    “…For more accurate mathematical representation for the empirical outcome power data, a mathematical model based on Bode Equations and Vector Fitting algorithm has been proposed to govern the load power profile of the proposed system. …”
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  2. 2
    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system

    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2018
    “…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
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  3. 3
    Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh

    Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh by Hisham Ahmad, Theeb Shehadeh

    Published 2018
    “…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
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  4. 4
    Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system

    Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system by Pradeep, M.V.K., Balbir, S.M.S., Norani, M.M.

    Published 2016
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  5. 5
    Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique

    Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique by Mohd Mawardi, Saari, Mohd Herwan, Sulaiman, Kiwa, Toshihiko

    Published 2023
    “…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. The high-Tc SQUID magnetometer is constructed from a high-Tc SQUID sensor coupled by a flux transformer to sense the modulated magnetization signal from a sample. …”
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  6. 6
    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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  7. 7
    Enhanced utility accrual scheduling algorithms for adaptive real time system.

    Enhanced utility accrual scheduling algorithms for adaptive real time system. by Othman, Muhammad Fauzan, Ahmad, Idawaty

    Published 2009
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  8. 8
    A Non-preemptive Utility Accrual Scheduling Algorithm in iAdaptive Real Time System

    A Non-preemptive Utility Accrual Scheduling Algorithm in iAdaptive Real Time System by Ahmad, Idawaty, Othman, Muhammad Fauzan

    Published 2008
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  9. 9
    A backward recovery mechanism in preemptive utility accrual real time scheduling algorithm

    A backward recovery mechanism in preemptive utility accrual real time scheduling algorithm by Ahmad, Idawaty, Othman, Muhammad Fauzan

    Published 2010
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  10. 10
    Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment

    Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment by Ahmad, Idawaty

    Published 2012
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  11. 11
    A preemptive utility accrual scheduling algorithm in adaptive real time system.

    A preemptive utility accrual scheduling algorithm in adaptive real time system. by Ahmad, Idawaty, Subramaniam, Shamala, Othman, Mohamed, Othman, Muhammad Fauzan

    Published 2008
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  12. 12
    Analysis of string matching compression algorithms

    Analysis of string matching compression algorithms by Nadarajan, Krishnaveny, Ahmad Zukarnain, Zuriati

    Published 2008
    “…Thus, this study incorporates compression to main memory in order to fully utilize its resources and improve performance of data access. …”
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  13. 13
    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin

    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

    Published 2012
    “…This research tries to utilize biological-inspired computing algorithm, Immune Network algorithm, in this sentiment analysis field. …”
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  14. 14
    Utilization of canny and velocity bunching algorithms for modelling shoreline change

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
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  15. 15
    Big data clustering using grid computing and ant-based algorithm

    Big data clustering using grid computing and ant-based algorithm by Ku-Mahamud, Ku Ruhana

    Published 2013
    “…This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm.…”
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  16. 16
    A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification

    A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification by Hossin, M., Mohd Suria, F.

    Published 2016
    “…Most previous works on Bacterial Foraging Optimization Algorithm (BFOA) for data classification were integrated BFOA as a feature selection algorithm and parameters optimizer for other classifiers. …”
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  17. 17
    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers

    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers by Khoshkholghi, Mohammad Ali, Derahman, Mohd Noor, Abdullah, Azizol, Subramaniam, Shamala, Othman, Mohamed

    Published 2017
    “…In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. …”
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  18. 18
    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment

    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment by Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati

    Published 2020
    “…The coding scheme jointly considers task execution location and data transportation order. Simulation experiments reveal that FR-MOS outperforms the basic MOS over the PSO algorithm.…”
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  19. 19
    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification

    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification by Hijazi, Musab, Zeki, Akram M., Ismail, Amelia Ritahani

    Published 2023
    “…One of the widely used algorithms for feature selection in text classification is the Evolutionary algorithm . …”
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  20. 20
    Document clustering for knowledge discovery using nature-inspired algorithm

    Document clustering for knowledge discovery using nature-inspired algorithm by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

    Published 2014
    “…As the internet is overload with information, various knowledge based systems are now equipped with data analytics features that facilitate knowledge discovery.This includes the utilization of optimization algorithms that mimics the behavior of insects or animals.This paper presents an experiment on document clustering utilizing the Gravitation Firefly algorithm (GFA).The advantage of GFA is that clustering can be performed without a pre-defined value of k clusters.GFA determines the center of clusters by identifying documents with high force.Upon identification of the centers, clusters are created based on cosine similarity measurement.Experimental results demonstrated that GFA utilizing a random positioning of documents outperforms existing clustering algorithm such as Particles Swarm Optimization (PSO) and K-means.…”
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