Search Results - (( simultaneously implementation level algorithm ) OR ( java implementation phase algorithm ))

Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…All the algorithm for the engine has been developed by using Java script language. …”
Get full text
Get full text

Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar by Tengku Jaafar, Tengku Salman Fathi

“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
Get full text
Get full text

A new algorithm on Graphical User Authentication (GUA) based on multi-line grids by Lashkari, Arash Habibi, Gani, Abdullah, Sabet, Leila Ghasemi, Farmand, Samaneh

“…Despite there being many existing algorithms most have failed to achieve both aspects simultaneously. …”
Get full text
Get full text
Get full text

A modified genetic algorithm for controller placement problem in SDN distributed network by Ibrahim, Abeer A. Z., Hashim, Fazirulhisyam, Sali, Aduwati, Noordin, Nor K., Fadul, Saber M. E.

“…Then a Genetic Algorithm (GA) is integrated with the allocation components to improve the controller locations. …”
Get full text
Get full text

Novel packet scheduling algorithm based on cross component carrier in LTE-advanced network with carrier aggregation by Al-Shibly, Mohammed A. M., Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

“…The proposed PS algorithm is implemented and validated in a PS module for LTE\LTE-Advanced via system level simulations. …”
Get full text
Get full text
Get full text
Get full text

Dual Sliding Statistics Switching Median Filter for the Removal of Low Level Random-Valued Impulse Noise by Mohd Helmi, Suid, Mohd Falfazli, Mat Jusof, Mohd Ashraf, Ahmad

Get full text
Get full text
Get full text
Get full text

Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter by Muhammad Salihin, Saealal, Mohd Helmi, Suid, Mohd Falfazli, Mat Jusof, Nor Ashidi, Mat Isa

Get full text
Get full text

Optimum tuning of Unified Power Flow Controller (UPFC) via Ant Colony Optimization (ACO) technique / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

“…As the power flow has been controlled, this device is capable of minimizing the overall system losses and simultaneously improves the voltage stability. To be able effectively control the power flow so that losses and voltage stability are at optimum level, UPFC parameters need to be tuned by using optimization algorithm. …”
Get full text
Get full text

An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Amir Izzani, Mohamed

Get full text
Get full text
Get full text
Get full text

High resolution satellite image compression using zero padding discrete wavelet transform and discrete cosine transform algorithms by Al-Obaidi, Halah Saadoon Shihab

Get full text
Get full text

Adaptive and optimized radio resource allocation algorithms for OFDMA based networks by Saadat, Md. Nazmus

“…Thus, in this thesis, an adaptive and optimized radio resource allocation algorithm (AORAA) with cross-layer mechanism is proposed. …”
Get full text
Get full text

Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

“…This study introduces a novel flood monitoring and warning system (FMWS) that leverages the capabilities of long-range wide area networks (LoRaWAN) to maintain extensive network connectivity, consume minimal power, and utilize low data transmission rates. We developed a new algorithm to measure and monitor flood levels and rate changes effectively. …”
Get full text
Get full text
Get full text

Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

“…This study introduces a novel flood monitoring and warning system (FMWS) that leverages the capabilities of long-range wide area networks (LoRaWAN) to maintain extensive network connectivity, consume minimal power, and utilize low data transmission rates. We developed a new algorithm to measure and monitor flood levels and rate changes effectively. …”
Get full text
Get full text
Get full text

Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

“…At the same time, the HHO and OBL-HHO algorithms resulted in lower levels of periodic reliability, with values of 13.16% and 9.21% respectively. …”
Get full text
Get full text

Development of committee machine models for multiple response optimization problems by Golestaneh, Seyed Jafar

“…Implementation of the current algorithm on case 1, a wire-bonding problem, shows response surface methodology yields Global Desirability equal to 0.31, while neural networks model offers GD equal to 0.42, and usual Committee Machine has obtained GD of 0.48 and finally current algorithm offers Global Desirability equal to 0.52. …”
Get full text
Get full text

A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow by Harold Harrison, Mazlina Mamat, Farah Wong, Hoe Tung Yew, Racheal Lim, Wan Mimi Diyana Wan Zaki

“…The proposed model achieved an average Mean Absolute Percentage Error (MAPE) of 7.51 %, with acceleration predictions exhibiting the lowest error at 4.84 % and displacement the highest at 8.80 % across varying brightness levels and object-camera distances. Techniques such as Region of Interest (ROI) cropping and multi-section frame extraction were implemented to reduce computational complexity while further enhancing accuracy. …”
Get full text
Get full text
Get full text

Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust by Arshad, U., Taqvi, S.A.A., Buang, A.

“…A machine learning artificial neural network approach with Levenberg-Marquardt algorithm is implemented to obtain the predictive model for MIT of aluminium dust for both the particle size ranges (100â��63 µm, 50â��32 µm). …”
Get full text
Get full text

Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust by Arshad, U., Taqvi, S.A.A., Buang, A.

“…A machine learning artificial neural network approach with Levenberg-Marquardt algorithm is implemented to obtain the predictive model for MIT of aluminium dust for both the particle size ranges (100â��63 µm, 50â��32 µm). …”
Get full text
Get full text

Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications by Mohd Ijam, Hazizah

“…These methods are implemented in diagonally implicit structure and generated the solutions of yn+1 and yn+2 simultaneously in a block. …”
Get full text
Get full text

Multi-directional matrix converter for low power application using field-programmable gate array by Toosi, Saman

“…On the other hand, in this study the Xilinx’s System Generator development tool was used to implement the EDDPWM method in FPGA. Moreover, high level design tools were employed to decrease the development time required for implementing the modulation methods in FPGA. …”
Get full text
Get full text