Search Results - (( java implementation phase algorithm ) OR ( basic affecting system algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…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. …”
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Genetic algorithm for the design improvement of Turbocharger
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…Two versions of the Jaya algorithm namely, the basic Jaya algorithm and novel quasi-oppositional Jaya (QOJaya) algorithm are proposed to solve different single objective OPF problems. …”
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INDOOR LOCATION SENSING USING WLAN
Published 2007“…The system was developed in MATLAB platform that comprises of location sensing algorithm (Nearest Neighbor), signal strength database, client-server interface and graphical user interface (GUI). …”
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Improving PID controller of motor shaft angular position by using genetic algorithm
Published 2015“…This problem among other is affected by existing the nonlinearities component in the system, the system communication noise, and not optimize PID parameter. …”
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A novel spiral backoff mechanism for wireless sensor networks MAC protocol in smart grid system
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Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…Finally, we evaluate the OFDM modulation signal in time-domain at receiver-side. This signal is affected by large Wiener Process PHN and estimated by TQM algorithm. …”
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Review of fault location methods for distribution power system
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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Conference or Workshop Item -
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…An optimal solution was proposed by integrating fuzzy logic technique with brute force algorithm that gave the best system optimization, where the decision was based on the Satisfaction Ratio (SR) and State of Charge (SoC). …”
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EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.]
Published 2013“…Intelligent Brain Machine interfaces are devices which can be used to aid these severely affected people through the power of thought. In this research work, a Thought Controlled Communication System has been developed using seven English words which is considered to convey the basic needs of a patient. …”
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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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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…Automated negotiation is a basic element in multi-agent systems (MAS), which helps autonomous agents to find a mutual agreement by resolving conflicts. …”
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Design and development of iRemote Terminal Unit (iRTU) for undervoltage and overvoltage fault
Published 2014“…The purpose of this research is to design an iRTU hardware circuit board, develop the iRTU using software algorithms, create the interfacing for monitoring process and integrate software and hardware together to make the iRTU as a complete system. …”
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Deterministic phase sequence approach for peak to average power ratio reduction in orthogonal frequency division multiplexing systems
Published 2016“…Orthogonal Frequency Division Multiplexing (OFDM) is the current proposed approach in the several applicable wireless communication standards such as IEEE 802.15.3a, 802.11, and 802.16, and is utilized in the Digital Video Broadcasting (DVB) and European Digital Audio Broadcasting (DAB) systems. Stability against Inter Symbol Interference (ISI) and the high spectral efficiency are represented as the most important advantages of the OFDM system, however high Peak-to-Average Power Ratio (PAPR) is expressed as a major drawback of the mentioned system. …”
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SNR-Based OLSR Routing Protocol for Wireless Mesh Networks
Published 2009“…This led the IEEE organization to emerge a special working group (IEEE 802.11s) in charge of the issues deriving from a completely wireless distribution system used to interconnect different Basic Service Sets (BSSs) through secure and performing links. …”
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