Search Results - (( wave detection ((method algorithm) OR (path algorithm)) ) OR ( using solution using algorithm ))
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1
A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance
Published 2022“…According to the results, the GLS algorithm outperformed the original laser simulator (LS) method in path and success rate. …”
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2
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…For static obstacle avoidance, the boundaries of the obstacle(s) are considered borders of the environment. However, the algorithm detects obstacles as a new border in dynamic obstacles once it occurs in front of the GLS waves. …”
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Thesis -
3
Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
Published 2020“…This method uses an improved Pan-Tompkins algorithm from the previous work with independent of the isoelectric line approach for detecting the QRS onset and the T offset. …”
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Novel algorithm for mobile robot path planning in constrained environment
Published 2021“…Moreover, the performance of the proposed method was compared with the A-star and laser simulator (LS) algorithms in terms of path length, computational time and path smoothness. …”
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Novel algorithm for mobile robot path planning in constrained environment
Published 2022“…Moreover, the performance of the proposed method was compared with the A-star and laser simulator (LS) algorithms in terms of path length, computational time and path smoothness. …”
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Novel algorithm for mobile robot path planning in constrained environment
Published 2022“…Moreover, the performance of the proposed method was compared with the A-star and laser simulator (LS) algorithms in terms of path length, computational time and path smoothness. …”
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Peramalan Isyarat Satelit Menggunakan Kaedah Rangkaian Neural
Published 2006“…Satellite communication system is one of the communication methods that are very important and widely used nowadays. …”
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Monograph -
8
Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008“…This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). …”
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…The numerical finite-difference method is chosen as a platform for discretizating the wave equations. …”
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Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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11
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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Modeling Of Dynamic Behavior In Closed Crack And Nonlinear Ultrasonic Array Imaging
Published 2017“…The appropriate conditions to obtain the nonlinear ultrasonic wave in the case of ultrasonic array testing were determined by performing two-dimensional simulations.An imaging method of the closed crack using an array transducer was investigated using the EFIT simulation. …”
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LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri
Published 2017“…Short wave near infrared spectroscopy (NIR) method was implemented in this experiment to detect the presence of lard adulteration in palm oil. …”
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15
Development of an automated detector and counter for bagworm census
Published 2020“…As for detection, the reflector method was applied to find the reflected apparent temperature and emissivity of the bagworms using thermographic measurement techniques. …”
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16
Pattern Recognition Approach Of Stress Wave Propagation In Carbon Steel Tubes For Defect Detection
Published 2015“…Several high frequency stress wave signals propagated in the tubes due to impact are captured using Acoustic Emission method. …”
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Detection of defect in concrete using elastic wave tomography reconstruction technique / Liu Kit Fook
Published 2017“…Non-destructive evaluation (NDE) and structural health monitoring (SHM) methods have become a vital technology in civil engineering industry. …”
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Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2017“…Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. …”
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Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2024“…Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. …”
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Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis
Published 2022“…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
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Undergraduates Project Papers
