Search Results - (( parameter detection system algorithm ) OR ( _ distribution control algorithm ))*
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DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION
Published 2018“…Therefore, the main objective of the project is to develop an OE-based Brown-Forsythe test algorithm to effectively detect the presence of control valve stiction.In this study, the proposed OE model is developed using System Identification in MATLAB, where it is used to simulate the process output (PV). …”
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Final Year Project Report / IMRAD -
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Hence, the algorithm must overcome the problem of dynamic updates in the internal parameters or counter the concept drift. …”
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Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage
Published 2017“…However, their integration into the grid introduces certain problems to the conventional distribution system, of which islanding detection is the most important. …”
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New synchronization protocol for distributed system with TCP extension
Published 2013“…One of the major duties in process management (synchronization) is mutual exclusion control. Previous studies related to the topic do not use enough messages in the distributed system. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Feature selection and classifier parameter tuning are important factors that affect the performance of any intrusion detection system. …”
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Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…In this research, two test systems have been used which is IEEE 13 bus system and IEEE 30 bus system for data generations. …”
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Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021“…However, these algorithms suffer from many lacks especially when apply to detect new type of attacks, and need for new algorithms such as JAYA algorithm, teaching learning-based optimization algorithm (TLBO) algorithm is arise. …”
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Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023Subjects:Conference Paper -
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Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine
Published 2009“…Analytical redundancy based fault detection system generally requires an accurate model. …”
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Conference or Workshop Item -
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
Published 2022“…The recommended system’s parameters were assessed, which demonstrated its superiority versus other previously developed systems. …”
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Green machine learning approach for QoS improvement in cellular communications
Published 2022“…Artificial intelligent algorithms such as machine learning (ML) enable to detection of the dynamics in cellular networks by analyzing the complex cellular network processes and evaluating the spectrum and links qualities. …”
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Proceeding Paper -
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
Published 2020“…Therefore, the aim of the study is to identify a fast, simple, and reliable method of FD on GCPV system in Malaysia. The objectives were: to develop the FD algorithm in GCPV system, to identify the types of fault occurrence in FD in GCPV system, and to verify the FD algorithm to be performed in Malaysian climate. …”
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Fuzzy modelling using firefly algorithm for phishing detection
Published 2019“…A fuzzy system is a rule-based system that uses human experts’ knowledge to make a particular decision, while fuzzy modeling refers to the identification process of the fuzzy parameters. …”
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Fuzzy modelling using butterfly optimization algorithm for phishing detection
Published 2020“…Fuzzy system is a rule-based system by using human experts which hold the truth values or membership values to make a particular decision while fuzzy modelling is a process of identifying the fuzzy parameter. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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Rao-SVM machine learning algorithm for intrusion detection system
Published 2020“…Most of the intrusion detection systems are developed based on optimization algorithms as a result of the increase in audit data features; optimization algorithms are also considered for IDS due to the decline in the performance of the human-based methods in terms of their training time and classification accuracy. …”
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