Search Results - (( re evaluation sensor algorithm ) OR ( frames extraction path algorithm ))

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  1. 1

    Local DTW coefficients and pitch feature for back-propagation NN digits recognition by Sudirman, R., Salleh, Shahruddin Hussain, Salleh, Sh-Hussain

    Published 2006
    “…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
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    Conference or Workshop Item
  2. 2

    Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

    Published 2006
    “…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
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  3. 3

    NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

    Published 2006
    “…This paper proposes a new method to extract speech features in a warping path using dynamic programming (DP). …”
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    Article
  4. 4

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…The main objective of this project is to create and develop a Path Planning Mobile Robot able to avoid obstacles in its path and reach a target designated position from its starting point utilizing 3 wheel-based rover body, sensors, linear motors and microcontrollers. Compared to manual mobile robots, AGRs require sensors and control systems that generate feedback for the re-evaluation of an unexpected situation and to detect obstacles in the path the AGR is required to follow. …”
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    Final Year Project
  5. 5

    TDMA scheduling analysis of energy consumption for iot wireless sensor network by Islam, Md Ashikul

    Published 2019
    “…Finally, represent the difference between experimental results and the old results of E-T-DRAND will determine if the algorithm has been efficiently re-implemented.…”
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    Thesis
  6. 6

    Integrated multi sensors and camera video sequence application for performance monitoring in archery by Taha, Z., Mat-Jizat, J.A., Abdullah, M.A., Musa, R.M., Abdullah, M.R., Ibrahim, M.F., Shaharudin, M.A.H.

    Published 2018
    “…This paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. …”
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    Conference or Workshop Item
  7. 7

    Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj by Bryan Raj , Peter Jabaraj

    Published 2023
    “…Moreover, two improvised clustering techniques are introduced to reduce the energy overhead cost from the re-clustering process. The performance of aHSSOGA is evaluated based on average residual energy, network lifetime, total re-clustering occurrence, total data delivery, network throughput and end-to-end delay metrics. …”
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    Thesis
  8. 8

    Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues by Mohammadmehdi Saberioon, Asa Gholizadeh, Petr Cisar, Aliaksandr Pautsina, Jan Urban

    Published 2025
    “…This review showed that MVSs and optical sensors have found real-world application based on tremendous possibility offered by digital camera development and increasing the speed of computer-based processing; however, still new algorithms, methods and re-engineered sensors need to be developed to meet real-world requirements.…”
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    Article
  9. 9

    Integrated multi sensors and camera video sequence application for performance monitoring in archery by Zahari, Taha, Jessnor Arif, Mat-Jizat, Muhammad Amirul, Abdullah, Mohamad Razali, Abdullah, Musa, Rabiu Muazu, Mohamad Fauzi, Ibrahim, Mohd Ali Hanafiah, Shaharudin

    Published 2017
    “…This paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. …”
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    Conference or Workshop Item
  10. 10

    Slam-based mapping for object recognition by Loh, Wan Ying

    Published 2018
    “…The SIFT (Scale-Invariant Feature Transform) is used to extract features from the current frame and match with the object database to identify and recognize the object whenever the robot come across the object. …”
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    Final Year Project / Dissertation / Thesis
  11. 11

    Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

    Published 2024
    “…The resulting objects were then analyzed using a customized nearest neighbor algorithm to calculate their correspondence between frames and a BFS algorithm was used to trace their movement path. …”
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    Thesis
  12. 12

    Adaptive energy efficient circular spinning protocol for dynamic cluster based UWSNs by Huma Hasan Rizvi, Sadiq Ali Khan, Rabia Noor Enam, Muhammad Naseem, Kashif Nisar, Danda B. Rawat

    Published 2022
    “…In this paper, a new Energy Efficient Circular Spinning (EECS) dynamic clustering algorithm has been proposed to provide an improved cluster setup system and to minimize energy usage in re-clustering or cluster setup. …”
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    Article