Search Results - (( new evaluation new algorithm ) OR ( user identification method algorithm ))

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  1. 1

    Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

    Published 2016
    “…The results of the validation show a complete similarity between each original face and the output from our algorithm. Furthermore, the algorithm is also evaluated by human experts and shows 100% correctness.…”
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    Thesis
  2. 2

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…Hence, the process of choosing a suitable DE strategy and setting its control parameters is difficult and requires much user experience. In this thesis, the fundamental contributions include the analysis, design, and evaluation of the adaptive DE algorithms. …”
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    Thesis
  3. 3

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…In the preliminary study, the algorithm is evaluated on the four different peak models of the three EEG signals using the artificial neural network (ANN) with particle swarm optimization (PSO) as learning algorithm. …”
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    Thesis
  4. 4

    A MATLAB-Based Convolutional Neural Network Approach For Face Recognition System by Syazana Itqan, Khalid, Syafeeza, Ahmad Radzi, Norhashimah, Mohd Saad

    Published 2016
    “…This paper discusses a method on developing a MATLAB-based Convolution Neural Network (CNN) face recognition system with Graphical User Interface (GUI) as the user input. …”
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    Article
  5. 5

    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network by M. Almassri, Ahmed M., Wan Hasan, Wan Zuha, Ahmad, Siti Anom, Shafie, Suhaidi, Wada, Chikamune, Horio, Keiichi

    Published 2018
    “…Furthermore, the exposed analysis approach in this paper can be a useful methodology for the user to evaluate the performance of any measurement system in a real-time environment.…”
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    Article
  6. 6

    Image segmentation method for boundary detection of breast thermography using random walkers by Moghbel, Mehrdad

    Published 2013
    “…All images used for this study were captured by state of the art forward looking infrared (FLIR) thermal cameras and have good resolution and sensitivity. The developed algorithm needs no human intervention until the final result is displayed to the user, if the user is not satisfied with the segmentation results he/ she can appoint new seeds interactively to fine tune the segmentation. …”
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    Thesis
  7. 7

    Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC by Ismail, Haqi Khalid

    Published 2021
    “…A new multi-factor authentication scheme is designed using the AES-ECC algorithm based on Kerberos workflow to establish secure, efficient, and lightweight communication between the user and the targeted IIoT devices to avoid the issues. …”
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    Thesis
  8. 8

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…This provides a useful methodology for the user to evaluate the performance of any measurement system in a real-time environment.…”
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    Thesis
  9. 9

    Effective predicate identification algorithm for XML retrieval by Roko, Abubakar, C. Doraisamy, Shyamala, Nakone, Bello

    Published 2018
    “…Finally, an effective predicate identification algorithm (EPIA) which uses EBQS and STPS to return relevant predicates is introduced. …”
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    Conference or Workshop Item
  10. 10
  11. 11

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…Furthermore, it employs Predicates Identification Algorithm (PIA) and Entity Identification Algorithm (EIA) to identify user search intention. …”
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    Thesis
  12. 12

    Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

    Published 2017
    “…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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    Thesis
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  14. 14

    Experimental evaluation of bottleneck link utilization with new-additive increase multiplicative decrease congestion avoidance and control algorithm. by Jasem , Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2009
    “…Approach: In this research we continued to study the performances of the New-Additive Increase Multiplicative Decrease (AIMD) algorithm as one of the core protocols for TCP congestion avoidance and control mechanism, we want now to evaluate the effect of using the AIMD algorithm after developing it to find a new approach, as we called it the New-AIMD algorithm to measure the bottleneck link utilization and use the NCTUns simulator to get the results after make the modification of the mechanism. …”
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    Article
  15. 15

    New algorithm for evaluation of electric fields due to indirect lightning strike by Izadi, Mahdi, Ab Kadir, Mohd Zainal Abidin

    Published 2010
    “…In addition, this proposed algorithm can also be used to evaluate the effect at the far distance cases of observation point from lightning channel.…”
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    Article
  16. 16

    Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model by Yaacob, Mohd. Shafiek, Jamaluddin, Hishamuddin

    Published 2001
    “…The implementation and the computational aspects of the training algorithm are also highlighted. Three examples of discrete-time nonlinear systems are used in the simulation study to show the effects of user selected conditions on the identification process. …”
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    Article
  17. 17

    Optimizing large scale combinatorial problems using multiple ant colonies algorithm based on pheromone evaluation technique by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md Norwawi, Norita

    Published 2008
    “…The new algorithm is based on the ant colony system and utilizes average and maximum pheromone evaluation mechanisms. …”
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    Article
  18. 18

    Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm by Yahya Alyasseri, Zaid Abdi Alkareem

    Published 2020
    “…For addressing these points, a novel person identification method that is using EEG with multi-level wavelet decomposition and multi-objective flower pollination algorithm is proposed in this thesis. …”
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    Thesis
  19. 19

    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm by Jasem, Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2011
    “…In addition, to evaluate the effect of using the AIMD algorithm after its development to measure the efficiency and fairness and find new enhancement results for our approach, which named as the New-AIMD algorithm. …”
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    Article
  20. 20

    DEVELOPMENT OF IRIS RECOGNITION SYSTEM by Mohd Kamarudin, Nur Eliza

    Published 2016
    “…This project implements an iris recognition algorithm as a biometric identification. There is a need for reliable and security identification since typical identification methods using identity cards, passwords, and user name possess threats to the security of an organization because of human error. …”
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    Final Year Project