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  1. 1

    A new 128-bit block cipher by Mohd Ali, Fakariah Hani

    Published 2009
    “…Even though there have been so much development of the block cipher, the industry still requires another block cipher as long as security features are met. …”
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    Thesis
  2. 2

    Development of DNA-based dynamic key-dependent block cipher by Saeed, Auday H.

    Published 2015
    “…The symmetric block cipher is one of the most significant cryptographic algorithms. …”
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    Thesis
  3. 3

    Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

    Published 2016
    “…This thesis will present the design, development and analysis of performance on a developed Double Stage Filter (DSF) algorithm and other existing stereo matching algorithms. …”
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    Thesis
  4. 4

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…They are Cross Entropy and also Genetic Algorithm. CE is a new algorithm that was recently developed using probability. …”
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    Thesis
  5. 5

    Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation by Hassan Disina, Abdulkadir

    Published 2018
    “…Based on the dynamic shapeless quasigroup and the proposed new string transformation, a Dynamic Key Scheduling Algorithm (DKSA) is developed. To validate the findings, non-associativity of the generated isotopes has been tested and the generated isotopes appeared to be non-associative. …”
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    Thesis
  6. 6

    WAVELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS by Chai, Beng Seow

    Published 2007
    “…Then, the conventional DCT block has been replaced with a Wavelet-DCT block. …”
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    Final Year Project
  7. 7
  8. 8

    Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control by Srazhidinov, Radik

    Published 2016
    “…Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cancel the noise in linear environment. …”
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    Thesis
  9. 9

    Performance of a photogrammetric digital elevation model in a tropical montane forest environment by Wong, Wilson, Vun Chiong, Satoshi Tsuyuki, Phua, Mui How, Keiko Ioki, Gen Takao

    Published 2016
    “…More detailed local accuracy evaluation was conducted at block level: 31 1-ha blocks and one 0.25-ha block located over different forest types and characterized by the mean canopy height (range=8.4-41.1 m) and standard deviation (range=2.0-9.8 m) of the ALS-canopy height model (ALS-CHM). …”
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    Article
  10. 10

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
    “…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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    Thesis
  11. 11

    Robust estimation methods for fixed effect panel data model having block-concentrated outliers by Abu Bakar @ Harun, Nor Mazlina

    Published 2019
    “…Thus, bootstrapping methods known as Diagnostic Bootstrap (Boot-D) and Weighted Bootstrap with RDF (Boot RDF) are also developed to provide resistance bootstrap estimates against block HLPs. …”
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    Thesis
  12. 12

    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

    Published 2020
    “…For the reformulated model, our group LASSO definition has lower prediction errors compared to the standard group LASSO definition. We develop an active-set based block coordinate descent algorithm (BCD) to optimize exactly the group LASSO. …”
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    UMK Etheses
  13. 13

    Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

    Published 2018
    “…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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    Thesis
  14. 14

    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…Therefore in this part QR decomposition algorithm has been investigated as a solution. For doing so, the performance analysis between QR decomposition and LS algorithm in terms of MSE (Mean Square Error) and BER (Bit Error Rate) has been done using simulations software. …”
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    Thesis
  15. 15

    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…Genetic algorithm is also applied for the calibration of proposed model in terms of calibrated coefficients. …”
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    Thesis
  16. 16

    Generalizations and Some Applications of Kronecker and Hadamard Products of Matrices by Mah'd Al Zhour, Zeyad Abdel Aziz

    Published 2006
    “…Namely: Tracy- Singh, Khatri-Rao, box, strong Kronecker, block Kronecker, block Hadamard, restricted Khatri-Rao products (sums) which are extended the meaning of Kronecker, Hadamard and usual products (sums). …”
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    Thesis
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  18. 18

    Image splicing forgery detection based on low-dimensional singular value decomposition of discrete cosine transform coefficients by Moghaddasi, Zahra, Jalab, Hamid Abdullah, Noor, Rafidah Md

    Published 2019
    “…The DCT coefficients are calculated correspondingly to each block. The features from DCT are extracted using SVD algorithm. …”
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    Article
  19. 19

    A region-based Principal Component Analysis (PCA) technique for medical image compression by Lim, Sin Ting

    Published 2022
    “…In an effort to improve rate-distortion performance, this work proposed a block-to-row PCA (BTRPCA) algorithm that employs the eigenvectors from the model image of the same image modality coupled with a row vectorization approach. …”
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    Thesis
  20. 20

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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    Thesis