Search Results - (( java application based 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
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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Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat
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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System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach
Published 2012“…An example of well known techniques are using time domain and frequency domain approach. …”
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Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
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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Identification of ground vehicle's aerodynamic derivatives using neural network
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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Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification
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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Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm
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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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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A subject identification method based on term frequency technique
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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Optimising acoustic features for source mobile device identification using spectral analysis techniques / 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.]
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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Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes
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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Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification
Published 2015“…Based on our experimental results, the AP algorithm achieved 93.9 % accuracy rate against all pattern classification techniques including PPCA, KNN, and GMM. …”
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Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield
Published 2022“…Last but not least, the comparison of accuracy between frequency analysis algorithm and variable time window amplitude mapping (VTWAM) algorithm is performed. …”
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Direct approach for mining association rules from structured XML data
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