Search Results - (( java simulation optimization algorithm ) OR ( frequency identification techniques algorithm ))

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    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat by Amat, Mohd Faizul Azmy

    Published 2007
    “…Scope of work include the algorithm for RFID flow in which frequency band will be continually implemented considering pre-determined constraints. …”
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    Article
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    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat by Amat, Mohd Faizul Azmy

    Published 2007
    “…RFID (Radio Frequency Identification) is a technology that incorporates the use of electromagnetic or electrostatic An Radio Frequency Identification RFID system may consist of several component like tags and tags reader. …”
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    Thesis
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    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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    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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    Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.] by Aizat Zainal, M. N., Anuar, M. Azhan, Mat Isa, A.A, Adenan, M. Shahriman

    Published 2018
    “…Only two out of four identification algorithms in parametric OMA techniques will be applied, namely Enhanced Frequency Domain Decomposition (EFDD) and Canonical Variant Analysis of Covariance-driven Stochastic Subspace Identification (SSI-CVA) methods. …”
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    Article
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    Identification of ground vehicle's aerodynamic derivatives using neural network by Ramli, Nabilah

    Published 2008
    “…This study demonstrates that the identification of the frequency and the damping of the system can be done using neural network and can be applied to any other similar systems.…”
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    Thesis
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    Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification by Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Nematollahi, Mohammad Ali, Hassan, Abd Rauf

    Published 2014
    “…This paper presents the process of Quranic Accent Automatic Identification. Recent feature extraction technique that is used for Quranic verse rule identification/Tajweed include Mel Frequency Cepstral Coefficients (MFCC) which prone to additive noise and may reduce the classification result. …”
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    Conference or Workshop Item
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    Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm by W. Daud, W. M. Bukhari, Sudirman, Rubita, Omar, Camallil

    Published 2011
    “…Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. …”
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    A subject identification method based on term frequency technique by Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza, Ahmad, Faudziah, Che Pa, Noraziah, Wan Ishak, Wan Hussain, Din, Roshidi, Ahmad, Farzana Kabir

    Published 2017
    “…In this paper, a subject identification method which is based on term frequency to categorize groups of text into a particular subject is proposed. …”
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    Article
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    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. …”
    Review
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    Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad by Mehdi , Jahanirad

    Published 2016
    “…This study utilized spectral analysis techniques to investigate the use of linear and nonlinear systems for modeling the mobile device frequency response on the call recording signal. …”
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    Critical experimental issues of cracked aluminum beam in operational modal analysis / M. Azhan Anuar ... [et al.] by Anuar, M. Azhan, Mat Isa, A.A., A.R., Zamri

    Published 2018
    “…Algorithms such as Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) are applied in this study. …”
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    Article
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    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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    Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusaini

    Published 2014
    “…Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysis using Principal Component Analysis (PCA) algorithm involved feature extraction to reduce the dimensionality of the complex stress waves propagation path.Two defective tubes containing a slot defect of different orientation and a reference tube are inspected using Vibration Impact Acoustic Emission (VIAE) technique.The tubes are externally excited using impact hammer.The variation of stress wave transmission path are captured by high frequency Acoustic Emission sensor.The propagated stress waves in the steel tubes are classified using PCA algorithm.Classification results are graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of the stress wave signals.The inspection of steel tubes showed good recognition of defect in circumferential and longitudinal orientation.This approach successfully classified stress wave signals from VIAE testing and provide fast and accurate defect identification of defective steel tubes from non-defective tubes. …”
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    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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    Thesis