Search Results - (( a extraction ((sensor algorithm) OR (path algorithm)) ) OR ( java application using algorithm ))
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Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
Published 2020“…The path generation algorithm was fully derived within the local maps and tested with a WMR platform in real-time.…”
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Article -
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Online Mapping-Based Navigation System for Wheeled Mobile Robot in Road Following and Roundabout
Published 2018“…In this work, the online mapping of mobile robot employing the utilization of sensor fusion technique is used to extract the road characteristics that will be used with path planning algorithm to enable the robot to move from a certain start position to predetermined goal, such as road curbs, road borders, and roundabout. …”
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Book Chapter -
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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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Sensors Fusion based Online Mapping and Features Extraction of Mobile Robot in the Road Following and Roundabout
Published 2016“…A road feature extraction based mapping system using a sensor fusion technique for mobile robot navigation in road environments is presented in this paper. …”
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Conference or Workshop Item -
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Slam-based mapping for object recognition
Published 2018“…After a map of the unknown environment is built, the Adaptive Monte Carlo Localization (AMCL) is used to localize the robot and Dijkstra’s algorithm is deployed to compute the shortest path to the destination goal. …”
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Final Year Project / Dissertation / Thesis -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…Each sensor in the sensor-based technique possesses different advantages and disadvantages. …”
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ROBOT NAVIGATION USING CAMERA BY IDENTIFYING SIGNAGES
Published 2017“…Camera mounted on the mobile robot will capture image of the signage and later employed edge-based contour detection algorithm to extract information from the signage. …”
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Final Year Project -
8
Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
Published 2021“…In this paper, we propose a metaheuristic method for feature extraction algorithm with Whale Optimisation Algorithm (WOA) based HCR. …”
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Conference or Workshop Item -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin
Published 2010“…This paper presents the application of Genetic Algorithm and Ant Colony Optimization (ACO) Algorithm for robot path planning (RPP) in global static environment. …”
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Provider independent cryptographic tools
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Monograph -
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Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…This thesis proposes a graph processing hardware accelerator for shortest path algorithms applied in nanometer VLSI interconnect routing problems. …”
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Thesis -
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Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…The objectives of 1his research are to develop a detection algorithm 1hat can extract 1he feature points of1he square-groove; and 1he second objective is to evaluate 1he detection algorithm and its ability to extract 1he image features of 1he square-groove in temis of 1he accuracy. …”
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Thesis -
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Very Large Scale Integration Cell Based Path Extractor For Physical To Layout Mapping In Fault Isolation Work
Published 2017“…Therefore the development of a path extractor program which is capable of extracting all possible paths from these start to end signals can save engineers time in tracing components involved between a fault line. …”
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Thesis -
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Abstract data extraction and reformation for IoT
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Final Year Project / Dissertation / Thesis -
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The noise reduction algorithm for star detection
Published 2025“…Accurate star detection plays a critical role in star sensors for spacecraft attitude determination. …”
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Article -
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Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples
Published 2006“…A disposable screen printed array sensor strip based on self-plasticized methacrylate acrylate PVC blend lipid membranes combined with chemometric algorithm has been developed and applied for qualitative and quantitative analysis of O.stamineus samples. …”
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Thesis -
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Internet of Things (IoT) based activity recognition strategies in smart homes: a review
Published 2022“…The obtained data can be subjected to extensive preprocessing and feature extraction tasks before being learned using appropriate machine learning or deep learning algorithms to generate a model capable of managing human activities more effectively. …”
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