Search Results - normal distribution ((((issues algorithm) OR (system algorithm))) OR (based algorithm))

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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    “…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
    Conference paper
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  2. 2
    Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing

    Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing by Yahaya, Bakri

    Published 2016
    “…This research addresses the performance issue of grid computing based on resource management, resource broker, resource scheduling and algorithm for middleware in the grid environment. …”
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    Thesis
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  3. 3
    Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian

    Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

    Published 2013
    “…As a comparative study, the performance of the algorithms was evaluated based on various standard metrics. …”
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    Thesis
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  4. 4
    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems

    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems by Franco, Daniel Jose Da Graca Peceguina

    Published 2021
    “…Such approach is highly dependable on the clustering algorithm parameterization, and is not capable to deal with the normal system’s specification changes. …”
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    Thesis
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  5. 5
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

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

    Published 2004
    “…The focus of this analysis is on original observations that performed a detecting outlier and power transformation to transform not normally distributed data to near normality. The correlation of each system calls are examined using coefficient correlations of each selected system call variables. …”
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    Thesis
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  6. 6
    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation

    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

    Published 2008
    “…The proposed approach uses a frequency domain combinational framework of coefficients scrambling with Key Scheduling Algorithm based (KSA-based) permutation. This novel algorithm applies coefficients scrambling using Combined-Reverse-and-Normal-Direction (CRND) scanning together with Distorted DC permutation (DDP). …”
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    Thesis
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  7. 7
    Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization

    Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization by Sankar K.P., Tiong S.K., Koh S.P.J.

    Published 2023
    “…Parallel Distributed Genetic Algorithm (PDGA) is employed in adaptive beam forming technique to reduce power usage of adaptive antenna at WCDMA base station. …”
    Article
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  8. 8
    Optimum capacitor placement and sizing for distribution system based on an improved voltage stability index

    Optimum capacitor placement and sizing for distribution system based on an improved voltage stability index by Aman, M.M., Jasmon, G.B., Bakar, A.H.A., Mokhlis, Hazlie

    Published 2012
    “…An algorithm is also proposed, based on RVSI, for optimum shunt capacitor placement in the distribution system. …”
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  9. 9
    Enhancement of cryptography and transform domain in steganography for higher embedding capacity

    Enhancement of cryptography and transform domain in steganography for higher embedding capacity by Khalaf, Emad T

    Published 2012
    “…The distribution of data will be based on the chosen percentages,which is entered by a sender.These percentages will be agreed between both the sender and the receiver as a key of hiding.The proposed system goal is to provide more complexity in encryption and make the embedding capacity as high as possible with high visible quality in a way that it does not allow any attacker to even detect that there are secret messages.The complexity of encryption and concealment was checked out with a number of widely used metrics such as Peak Signal to Noise Ratio(PSNR),Mean Squared Error(MSE), Normalized Absolute Error (NAE) and Normalized Correlation Coefficient (NCC).The experimental results demonstrate the complexity of the proposed method compared with the standard and existing methods.…”
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    Undergraduates Project Papers
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  10. 10
    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli

    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli by Ahmad Kamaruddin, Saadi, Md. Ghani, Nor Azura, Mohamed Ramli, Norazan

    Published 2014
    “…The backpropagation algorithm is one of the most famous algorithms to train neural network based on the mean square error (MSE) of ordinary least squares (OLS). …”
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    Book Section
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  11. 11
    Enhancement of cryptography and transform domain in steganography for higher embedding capacity

    Enhancement of cryptography and transform domain in steganography for higher embedding capacity by Khalaf, Emad T

    Published 2012
    “…The distribution of data will be based on the chosen percentages,which is entered by a sender.These percentages will be agreed between both the sender and the receiver as a key of hiding.The proposed system goal is to provide more complexity in encryption and make the embedding capacity as high as possible with high visible quality in a way that it does not allow any attacker to even detect that there are secret messages.The complexity of encryption and concealment was checked out with a number of widely used metrics such as Peak Signal to Noise Ratio(PSNR),Mean Squared Error(MSE), Normalized Absolute Error (NAE) and Normalized Correlation Coefficient (NCC).The experimental results demonstrate the complexity of the proposed method compared with the standard and existing methods.…”
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    Thesis
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  12. 12
    Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal

    Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal by Zainal, Mohamad Izwan

    Published 2022
    “…This switch will change the condition after distribution network triggers any abnormal during operating system. …”
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    Thesis
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  13. 13
    A study on advanced statistical analysis for network anomaly detection

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

    Published 2005
    “…The focus of this analysis is on original observations that performed a detecting outlier and power transformation to transform not normally distributed data to near normality. The correlation of each system calls are examined using coefficient correlations of each selected system call variables. …”
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    Monograph
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  14. 14
    The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer

    The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer by Ahmad, Noor Ashikin

    Published 2015
    “…Materials and Methods: NTCP values from BIOPLAN software is calculated based on standard DVH data. Dose distributions of treatment plans are calculated by using two different algorithms of Oncentra Masterplan (OMP) treatment planning system (TPS) which are Collapse Cone and Pencil Beam. …”
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    Monograph
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  15. 15
    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets

    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

    Published 2019
    “…For this purpose, the normal distributions are applied to each class. The parameters of this distribution are optimized by applying the proposed MOHA. …”
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  16. 16
    Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System

    Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System by Tawafan, Adnan, Sulaiman , Marizan, Ibrahim, Zulkifilie

    Published 2012
    “…HIF and other operation event data were obtained by simulation of a 13.8 kV distribution feeder using PSCAD. The results show that the proposed algorithm can distinguish successfully HIFs from other events in distribution power system…”
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  17. 17
    High Impedance Fault Detection on Power Distribution Feeder

    High Impedance Fault Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

    Published 2012
    “…HIF and other operation event data were obtained by simulation of a 13.8 kV distribution feeder using PSCAD. The results show that the proposed algorithm can distinguish successfully HIFs from other events in distribution power system.…”
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  18. 18
    Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / Mohamad Firdaus Mohamad Salehuddin

    Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M... by Mohamad Salehuddin, Mohamad Firdaus

    Published 2020
    “…For both cases, the statistical analysis data show that the p-value is more than 0.05, which indicates that the data are normally distributed. These measurement inputs were then going through the process of classification in ANN to generate the optimized models by using LM algorithm. …”
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    Student Project
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  19. 19
    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah

    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah by Abdullah, Mohd Azrul

    Published 2015
    “…Based on the identified statistical parameters, a new Time Based Policing and Shaping algorithm is developed and simulated. …”
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  20. 20
    A new efficient checkpointing algorithm for distributed mobile computing

    A new efficient checkpointing algorithm for distributed mobile computing by Mansouri, Houssem, Badache, Nadjib, Aliouat, Makhlouf, Pathan, Al-Sakib Khan

    Published 2015
    “…In fact, it is necessary now to think about other techniques or at least adapt those to devise effective and well suited techniques for the mobile environment. Considering this issue, the contribution in this paper is a proposal of a new checkpointing algorithm suitable for mobile computing systems. …”
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