Search Results - (( variable detection sensor algorithm ) OR ( data replication path algorithm ))

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  1. 1

    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system by Eissa, Magdy Abdullah, Sali, Aduwati, Hassan, Mohd Khair, Bassiuny, A. M., Darwish, Rania R.

    Published 2020
    “…Also, a scoring algorithm has been implemented, to evaluate the classification ability of the algorithm and the early fault detection ability. …”
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    Article
  2. 2

    Deforestation detection in Kinabalu Area, Sabah, Malaysia by using multi-sensor remote sensing approach by Phua, Mui How, Tsuyuki, Satoshi

    Published 2004
    “…This paper examines use of multi-sensor remote sensing approach for deforestation detection in the tropics. …”
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    Article
  3. 3

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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    Thesis
  4. 4

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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    Monograph
  5. 5

    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network by Karimi, Abbas, Abedini, S. M., Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2013
    “…Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. …”
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    Article
  6. 6

    Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory by Ng, Peng Hong

    Published 2015
    “…State observers are then implemented as the fault detection method in which the discrepancies between the measured values by the sensors and the values of the model are expressed as residuals. …”
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    Thesis
  7. 7

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…The system is then used in path prediction mode for reconstructing the missing parts of the trajectory when actual positioning data is unavailable. …”
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    Thesis
  8. 8

    DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

    Published 2018
    “…Density of the traffic is calculated by the algorithm that have various variables. This project will use Arduino as it microcontroller and the ultrasonic is used to detect the congestion. …”
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    Final Year Project Report / IMRAD
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  10. 10

    Re-engineering grid-based quorum replication into binary vote assignment on cloud: A scalable approach for strong consistency in cloud databases by Ainul Azila Che Fauzi, Ainul Azila, Noor Ashafiqa, Noor Ashafiqa, Asiah Mat, Asiah, Syerina Azlin Md Nasir, Syerina Azlin, A. Noraziah, Noraziah

    Published 2025
    “…Experimental results demonstrate that BVAC sustains fault tolerance, achieves cloud database replication efficiency, and sustains high data availability via multiple valid quorum paths. …”
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    Article
  11. 11

    Faulty sensor detection mechanism using multi-variate sensors in IoT by Al-Atrakchii, Khaldoon Ammar

    Published 2019
    “…Because of this, we proposed two methods for Faulty Sensor Detection and Identification mechanism based on multi-variate sensors for Smart Parking System and smart agriculture. …”
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    Gas Identi cation by Using a Cluster-k-Nearest-Neighbor by Brahim Belhaouari, samir

    Published 2009
    “…Among the most serious limitations facing the success of future consumer gas identification systems are the drift problem and the real-time detection due to the slow response of most of todays gas sensors. …”
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    Article
  14. 14

    Proactive multi-copy routing protocol for urban vehicular ad hoc network by Hassan, Aslinda, Bahaman, Nazrulazhar

    Published 2016
    “…The paper emphases on replicating data packets and distribute them to different relays. …”
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    Article
  15. 15

    Proactive multi-copy routing protocol for urban vehicular ad hoc network by Hassan, Aslinda, Bahaman, Nazrulazhar

    Published 2015
    “…The paper emphases on replicating data packets and distribute them to different relays. …”
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    Article
  16. 16

    Obstacle avoidance robot using sonar sensor (OARuS) by Mohamad Sabri Abdullah

    Published 2008
    “…For this operation, if sensor detect obstacle, robot will move direction no restriction to reach to last post.…”
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    Learning Object
  17. 17

    Fault detection and diagnosis using correlation coefficients by Mak, Weng Yee

    Published 2005
    “…This research is to formulate a FDD algorithm based on MSPC via correlation coefficients. …”
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  18. 18

    Revolutionizing energy infrastructure: Automated route planning for underground transmission lines in Phnom Penh by Saing, Kimlin, Goh, Hui Hwang, Zhang, Dongdong, Dai, Wei, Kurniawan, Tonni Agustiono, Goh, Kai Chen

    Published 2024
    “…Multiple algorithms are evaluated to identify the most effective solution to this design’s inherent shortest-path problem. …”
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    Article
  19. 19

    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model by Norhaida, Binti Hussain, Wai Shiang, Cheah, Wai Loke, Seng

    Published 2025
    “…The evaluation states that the existing agent-based steering model computes the complete set of collision-free paths with the least travel time among agents to make path decisions based on updated information. …”
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    Thesis
  20. 20

    Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

    Published 2019
    “…In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. With large variability in SOM, the field presents a special situation and thus, the result could be specific to the study site. …”
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