Search Results - (( simulation utilisation based algorithm ) OR ( java application stemming algorithm ))

Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

“…We simulate our proposed algorithms using a Java based simulator that is purposedly built for Grid computing simulations. …”
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Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

“…Besides, some real data sets were examined to validate the proposed algorithm. Empirical evidences based on simulated data sets indicated that the proposed modified k-means algorithm is able to recognise the optimum number of clusters for uncorrelated data sets. …”
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An estimation-based dynamic load balancing algorithm for efficient load distribution and balancing in heterogeneous Grid computing environment by Eng, Kailun, Muhammed, Abdullah, Abdullah, Azizol, Hussin, Masnida, Hasan, Sazlinah, Mohamed, Mohamad Afendee

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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

“…The simulation results demonstrate that the proposed algorithm outperforms existing heuristic and meta-heuristic algorithms, including the benchmarking algorithm (LACE). …”
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Case Study: University Lecture Timetabling Without Pre-registration Data by Sze, San Nah, Bong, Chia Lih, Chiew, Kangleng, Tiong, Wei King, Noor Alamshah, Bolhassan

“…Due to all these issues, the objective of this study is to develop a computerised algorithm to minimise the clashes issue and increase venue utilisation. …”
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Max-average: an extended max-min scheduling algorithm for Grid computing environtment by Maipan-uku, J. Y., Muhammed, Abdullah, Abdullah, Azizol, Hussin, Masnida

“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing by Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah

“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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Classification for large number of variables with two imbalanced groups by Ahmad Hakiim, Jamaluddin

“…Both simulated and real data sets were utilised to measure the performance of the proposed algorithms based on two evaluation indicators, sensitivity and specificity. …”
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Neutral-point voltage deviation control for three-level inverter-based shunt active power filter with fuzzy-based dwell time allocation by Yap, Hoon, Mohd Radzi, Mohd Amran, Hassan, Mohd Khair, Mailah, Nashiren Farzilah

“…The proposed method is called the fuzzy-based dwell time allocation algorithm. To validate effectiveness and feasibility of the proposed algorithm, simulation work in MATLAB-Simulink and experimental implementation utilising TMS320F28335 digital signal processor (DSP) are performed. …”
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Exploring distance-based wireless transceiver placements for wireless network-on-chip architecture with deterministic routing algorithms by Asrani, Lit, Shamsiah, Suhaili, Kuryati, Kipli, Rohana, Sapawi, Fariza, Mahyan

“…This research investigates the impact of positioning radio subnets at the farthest, farther, nearest, and closest positions within an architecture equipped with four wireless transceivers. The Noxim simulator was utilised to simulate the analysed wireless transceiver placements within the hundred-core mesh-structured WiNoC designs, with the objective of validating the results. …”
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Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques by Ng, Jiun Shen

“…In this project, several models will be presented and analysed, with the normal equation in Linear Regression will be the algorithm used to simulate it. Furthermore, the data will be clustered in this project utilising threshold-based approaches. …”
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Module integrated MPPT converter for photovoltaic / Muhammad Nur Al Hafiz Mohamad Husaini by Mohamad Husaini, Muhammad Nur Al Hafiz

“…MATLAB/Simulink cannot run Simulink base component to simulate 2 PV with different specification as error occur in the solver configuration.…”
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Modelling and simulation of electric drive vehicle based on space vector modulation technique and field oriented control strategy by Fadul, Saber Mohammed Elnour, Aris, Ishak, Misron, Norhisam, Abdul Halin, Izhal, Iqbal, A. K. M. Parvez

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Parametric system identification and active vibration control of vibrational structures using genetic algorithm by Mohammad Sofi @ Aziz, Azfi Zaihan

“…The sets of data obtained were utilised to develop ARX model using Least Squares (LS), Recursive Least Squares (RLS) and Genetic Algorithm (GA) methods. …”
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Heart Attack Prediction with Deep Learning by Syasya Putri binti Mohamad Razauddin

Model predictive control of bidirectional isolated DC–DC converter for energy conversion system by Akter, P., Uddin, M., Mekhilef, Saad, Tan, N.M.L., Akagi, H.

“…The predictive control algorithm utilises the discrete nature of the power converters and predicts the future nature of the system, which are compared with the references to calculate the cost function. …”
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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation by Zhanuzak, Raiymbek, Ala'anzy, Mohammed Alaa, Othman, Mohamed, Algarni, Abdulmohsen

“…Evaluations using CloudSim simulations demonstrate that the EDLB algorithm achieves substantial average improvements over benchmark algorithm and the-state-of-the-art algorithm, including a 59.46% reduction in total makespan, a 12.70% reduction in average makespan, a 22.46% reduction in execution time, and a 3.10% increase in resource utilisation. …”
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A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed by Tengku Mohamed, Tengku Luqman

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Computerised Faculty Course Timetabling with Student Sectioning by Bong, Chia Lih

“…Data pre-processing algorithm was carried out to predict course registration based on students' curriculum course plan and previous examination result. …”
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Model predictive control of bidirectional isolated DC-DC converter for energy conversion system by Akter P., Uddin M., Mekhilef S., Tan N.M.L., Akagi H.