Search Results - (( new evaluation step algorithm ) OR ( rate simulation based algorithm ))
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1
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The NPO was tested and evaluated based on sixty unconstrained benchmark test functions. …”
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Thesis -
2
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
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3
Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
Published 2018“…This study is proposing a new algorithm of Box-Jenkins and GARCH (or BJ-G) in evaluating the multistep forecasting performance of the BJ-G model for highly volatile time series data. …”
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4
Deterministic phase sequence approach for peak to average power ratio reduction in orthogonal frequency division multiplexing systems
Published 2016“…The first proposed method, called Gray Code-based Phase sequence (GCP) is a new low complexity PAPR reduction scheme based on a Gray code structure and a similarity measurement block; included on two steps: firstly, selecting the phase sequences based on Gray codes and finally, evaluating the similarity between the input and the output of the Power Amplifier (PA), among the selected phase sequences in the previous step. …”
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Optimization of milling parameters using ant colony optimization
Published 2008“…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
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Undergraduates Project Papers -
7
A FUZZY LOGIC ALGORITHM FOR HEART RATE MONITORING
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Final Year Project -
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DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…This study presents an improved self-charging algorithm by introducing a new feature known as step size error cancellation for better performance of DC-link capacitor voltage control in single-phase shunt active power filter (SAPF). …”
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…The proposed algorithm is simulated for simultaneous OPF-based conflicting objectives, respectively. …”
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Thesis -
11
A new variable step size block backward differentiation formula for solving stiff initial value problems
Published 2013“…A new block backward differentiation formula of order 4 with variable step size is formulated. …”
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12
Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm
Published 2022“…Then, the initial solution is improved using our enhanced algorithm called dynamic exploration step counting hill climbing (DESCHC). …”
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Thesis -
13
Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
Published 2018“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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Thesis -
14
Evaluation of a spacecraft attitude and rate estimation algorithm
Published 2010“…Purpose: This paper aims to present the development and performance evaluation of an attitude and rate estimation algorithm using an extended Kalman filter structure based on a body‐referenced representation of the state. …”
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Article -
15
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…This study presents an improved self-charging algorithm by introducing a new feature known as step size error cancellation for better performance of DC-link capacitor voltage control in single-phase shunt active power filter (SAPF). …”
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16
Oppositional learning prediction operator with jumping rate for simulated kalman filter
Published 2019“…The proposed prediction operator is based on oppositional learning with jumping rate. …”
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Conference or Workshop Item -
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Enhancement of Single and Composite Images Based on Contourlet Transform Approach
Published 2009“…Image enhancement is an imperative step in almost every image processing algorithms. …”
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Thesis -
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Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items
Published 2020“…A Hybrid Harmony Search-Simulated Annealing (HS-SA) algorithm is proposed in this paper. …”
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Article -
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Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…This algorithm basically employs two crossshaped search patterns consecutively in the very beginning steps and switch using diamond-shaped patterns. …”
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Thesis -
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Energy detection for spectrum sensing in OFDM-based cooperative and non-cooperative radio networks
Published 2018“…These stages are the Wavelet Transform based on pyramid algorithm, and the previous algorithms to apply this system on NSS and CSS networks. …”
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