Search Results - (( modul integration system algorithm ) OR ( java simulation optimization algorithm ))
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1
Module integrated MPPT converter for photovoltaic / Muhammad Nur Al Hafiz Mohamad Husaini
Published 2020“…To implement module integrated perturb and observe MPPT algorithm into photovoltaic system to solve PV mismatch losses application. …”
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Student Project -
2
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Article -
3
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Thesis -
4
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
5
A single measurement of combined direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
Published 2016“…The use of module integrated converter (MIC) topologies for photovoltaic (PV) system is to harvest the maximum power point of PV module from solar irradiance. …”
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Book Section -
6
A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
Published 2016“…The use of module integrated converter (MIC) topologies for photovoltaic (PV) system is to harvest the maximum power point of PV module from solar irradiance. …”
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Thesis -
7
Optimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutions
Published 2024Conference Paper -
8
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Thesis -
10
A Random Forest Regression Based Space Vector PWM Inverter Controller for the Induction Motor Drive
Published 2023“…Adaptive control systems; Controllers; Decision trees; Deep neural networks; Electric drives; Electric inverters; Electric motors; Fuzzy inference; Fuzzy neural networks; Fuzzy systems; Induction motors; Inference engines; Learning algorithms; Modulation; Neural networks; Regression analysis; Tracking (position); Two term control systems; Vector spaces; Vectors; Voltage control; Adaptive neuro-fuzzy inference system; Backtracking search algorithms; Different operating conditions; Proportional integral controllers; Random forests; Space Vector Modulation; Space vector pulse width modulation; Three phase induction motor; Pulse width modulation…”
Article -
11
FPGA implementation of CPFSK modulation techniques for HF data communication
Published 2003“…This is due to simplicity in implementation by noncoherent detection and robustness due noise and phase synchronization error.Hardware based design using FF'GA can reduced system size. The proposed modulation integrates holh the transmitter and receiver modules into a single FPGA. …”
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Conference or Workshop Item -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
13
Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
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Modem Recognition Algorithm for Software Defined Radio Base Station
Published 2004“…Modem is the heart of a SDR system; it functions as an incoming modulation recogniser, multi-format demodulator, outgoing modulation recogniser, and multi-format modulator. …”
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Thesis -
15
Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
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Thesis -
16
Registration and billing system
Published 2005“…Inside the HIS there got so many modules such as In-Patient Module, Out-Patient Module,Radiology Module and others modules.A study has been done on a few of the existing system,such as Medinous - Hospital Management System, C-DAC's Sushrut - Hospital Information System (HIS) and File-Maker System. …”
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Undergraduates Project Papers -
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
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Optimal PI controller based PSO optimization for PV inverter using SPWM techniques
Published 2023Article -
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Separable Recursive Training Algorithms with Switching Module
Published 2009“…A novel hybrid or separable recursive training strategies are de rived for the training of feedforward neural networks which incoporates a switching module. This new technique for updating weights combines non linear recursive training algorithms for the optimization of nonlinear weights with recursive least square type algorithms for the training of linear weights in one integrated routine. …”
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Book Section -
20
Development Of Integrated Monitoring System For Re-Electric Vehicle
Published 2014“…The integrated monitoring system was tested in a real driving conditions to verify the functionality. …”
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