Search Results - (( frames detection sensor algorithm ) OR ( parallel optimization path algorithm ))*

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  1. 1

    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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    Thesis
  2. 2

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
    “…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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    Final Year Project
  3. 3

    Tool path generation of contour parallel based on ant colony optimisation by Abdullah, Haslina, Ramli, Rizauddin, Abd Wahab, Dzuraidah, Abu Qudeiri, Jaber

    Published 2016
    “…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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    Article
  4. 4
  5. 5

    A monocular view-invariant fall detection system for the elderly in assisted home environments by Htike@Muhammad Yusof, Zaw Zaw, Egerton, Simon, Kuang, Ye Chow

    Published 2011
    “…An ensemble of pose models performs inference on each video frame. Each pose model employs an expectation-maximization algorithm to estimate the probability that the given frame contains the corresponding pose. …”
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    Proceeding Paper
  6. 6

    Web Camera Application For Motion Detection by Koay, Su Yeong

    Published 2003
    “…There are many different ways to detect motion. The conventional way is by using either active sensor or passive sensor. …”
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    Thesis
  7. 7

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  8. 8

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  9. 9
  10. 10

    Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot by Tan, Zhi Zhong

    Published 2019
    “…The proposed framework consists of zero acceleration algorithm which responsible to detect the time and duration of a wheeled robot when it is travelling at constant speed (zero acceleration), zero velocity update to detect the still phase of the wheeled robot and improved drift correction. …”
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    Thesis
  11. 11

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…To prepare for obstacle avoidance algorithm development, a differential drive robot was constructed, and a URDF description was prepared to ensure correct odometry data conversion from sensor coordinate frames to the robot coordinate frame. …”
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    Final Year Project / Dissertation / Thesis
  12. 12

    Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle by Ramli, Muhammad Faiz, Shamsudin, Syariful Syafiq, Legowo, Ari

    Published 2017
    “…In this paper, combination of both sensors based is proposed for a small UAV obstacle detection system. …”
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    Article
  13. 13

    Region Detection Technique Using Image Subtraction and Pixel Expansion Cue for Obstacle Detection System on Small – Sized UAV by Abdul Aziz, Muhamad Wafi, Ramli, Muhammad Faiz

    Published 2024
    “…: This research paper is about method of detection of free region and obstacle region by combining image segmentation and frame subtraction method. …”
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    Article
  14. 14

    Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion by Alam, Mir Suhail, Morshidi, Malik Arman, Gunawan, Teddy Surya, Olanrewaju, Rashidah Funke, Arifin, Fatchul

    Published 2021
    “…The algorithm used for feature detection and description is Oriented-FAST Rotated-BRIEF (ORB), whereas to evaluate the homography for pose estimation, Random Sample Consensus (RANSAC) is used. …”
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    Article
  15. 15

    Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib by Dian Najihah , Abu Talib

    Published 2019
    “…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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    Thesis
  16. 16

    Around view monitoring system with motion estimation in ADAS application by Rasdi, Muhammad Hannan Fathi, Nik Hashim, Nik Nur Wahidah, Hanizam, Syahirah

    Published 2019
    “…The algorithm to be tested is Gunnar Farneback. Movement in sequential frames is detected and converted to the real-world position change. …”
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    Proceeding Paper
  17. 17

    Design and development of single-axis solar tracking system and water level control for application of line focus concentrator for solar desalination process by Muhammad Adam, Zahari

    Published 2017
    “…It was programmed to detect sunlight via the LDRs before actuating the motor to position the parabolic frame. …”
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    Undergraduates Project Papers
  18. 18

    Passive Client-Centric Rogue Access Point Detection Framework For WiFi Hotspots by Ahmad, Nazrul Muhaimin

    Published 2018
    “…The proliferation of Wi-Fi hotspots in public places provides seamless Internet connectivity anywhere at any time to the wireless clients.Although many hotspots are often unprotected,unmanaged and unencrypted,this does not prevent the clients from actively connecting to the network.The underlying problem is that the network Access Point (AP) is always trusted.The adversary can impersonate a legitimate AP by setting up a rogue AP to commit espionage and to launch evil-twin attack,session hijacking,and eavesdropping.To aggravate the threats, existing detection solutions are ill-equipped to safeguard the client against rogue AP.Infrastructure- centric solutions are heavily relied on the deployment of sensors or centralized server for rogue AP detection, which are limited,expensive and rarely to be implemented in hotspots.Even though client-centric solutions offer threat-aware protection for the client,but the dependency of the existing solutions on the spoofable contextual network information and the necessity to be associated with the network makes those solutions are not viable for the hotspot’s client.Hence,this work proposes a framework of passive client-centric rogue AP detection for hotspots.Unlike existing solutions,the key idea is to piggyback AP-specific and network-specific information in IEEE 802.11 beacon frame that enables the client to perform the detection without authentication and association to any AP.Based on the spatial fingerprints included in the broadcasted information from the APs in the vicinity of the client,this work discloses a novel concept that enables the rogue AP detection via the client’s ability to self-colocalize and self-validate its own position in the hotspot.The legitimacy of the APs in the hotspot,in this view,lies in the fact that the correct matching between the Received Signal Strength Indicator (RSSI) measurements at the client and pre-recorded fingerprints is attainable when the beacons are transmitted only from the legitimate APs.Hence,any anomalousness in AP’s beacon frame or any attempt to replay the legitimate AP’s beacon frame from different location can be detected and classified as rogue AP threats.Through experiments in real environment,the results demonstrate that with proper algorithm selection and parameters tuning,the rogue AP detection framework can achieve over 90% detection accuracy in classifying the absence and presence of rogue AP threats in the hotspot.…”
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    Thesis
  19. 19

    Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points by Ramli, Muhammad Faiz, Sutjipto, Agus G.E., Sulaeman, Erwin, Ari Legowo, Ari Legowo

    Published 2024
    “…In this paper, expansion cues from the detected feature points with the help of convex hull will be used to categorize the regions in the image frame. …”
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    Conference or Workshop Item
  20. 20

    The Fuzzy Logic Approach for Modelling Object Physical Features and Holes Occupancies by Syed Abdul Hamid , Syed Mohamad Shazali, Sulaiman , Marizan, Said, Mohamed Azmi

    Published 2008
    “…One of the advantages of this project is that it only used a camera and image processing generated by the algorithms itself without additional sensor such as sonar or IR sensor.…”
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    Conference or Workshop Item