Search Results - (( using action path algorithm ) OR ( basic evaluation process algorithm ))

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    Mobile robot navigation using GPS to solve target location achieving problem / Saiful Zaimy Yahaya, Rozan Boudville and Mohamad Faizal Abdul Rahman by Yahaya, Saiful Zaimy, Boudville, Rozan, Abdul Rahman, Mohamad Faizal

    Published 2010
    “…The path finding algorithm will basically finds the best path and instructs the robot to moves to its location by keep on refreshing its positions. …”
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    Research Reports
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    Hierarchical gaussian reinforcement learning for path planning in uncertain environments by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw, Akmeliawati, Rini, Shafie, Amir Akramin

    Published 2015
    “…We propose a path planning algorithm for robots in uncertain environments by using hierarchical Gaussian Q-learning. …”
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    Article
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    Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

    Published 2016
    “…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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    Thesis
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    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

    Published 2023
    “…The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. …”
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    Thesis
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    System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

    Published 2017
    “…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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    Student Project
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    Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

    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
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    A self-contained real-time angle deviation detection and measurement technique for straight line quadrocopter navigation using accelerometer / Nor Hashim Mohd Arshad … [et al.] by Mohd Arshad, Nor Hashim, Abdul Razak, Noorfadzli, Adnan, Ramli, Misnan, Mohamad Farid, M. Thamrin, Norashikin

    Published 2014
    “…This project proposes a new real-time adaptive trajectory correction algorithm for quadrocopter, which could specifically detect angle deviation through the use of accelerometer to allow for corrective action.…”
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    Book Section
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    Routing based multi-agent system for network reliability in the smart microgrid by Singh, N., Elamvazuthi, I., Nallagownden, P., Ramasamy, G., Jangra, A.

    Published 2020
    “…In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellmanâ�� Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. …”
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    Article
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    Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering by Ge, Baoru, Shaari, Nazlina, Mohd Yunos, Mohd Yazid, Zainal Abidin, Sazrinee

    Published 2023
    “…Finally, a recommendation set of products is obtained using the analytic hierarchy process (AHP), the weight of Kansei word pairs, and the distance calculation of comprehensive evaluation value based on consumers' emotional needs. …”
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    Article
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    Ant system with heuristics for capacitated vehicle routing problem by Tan, Wen Fang

    Published 2013
    “…Meanwhile, modification was made on the evaporation procedure during the pheromone update process. As a route improvement strategy, two heuristics which are the swap among routes procedure and 3-opt algorithm are also employed within the ASH algorithm. …”
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    Thesis
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    A study on personalized recommender system using social media by Aishnivya, Balamurugan

    Published 2020
    “…These machine learning algorithm processes the data set obtained. The evaluation on these algorithm is done to evaluate accuracy of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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    Thesis
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    Precise ICMP Traceback Based On Normal Flow Filtration in Denial of Services Attack by Izaddoost, Alireza

    Published 2008
    “…To overcome this weakness, this research aims to increase the generation of more useful ICMP traceback packets, which includes attack path information. …”
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    Thesis
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    On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm by Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah

    Published 2015
    “…However, achieving equivalent backhaul reduction based on limited feedback channel state information is challenging when linear techniques, such as zero-forcing beamforming (BF) are used, which led to the use of stochastic algorithms instead. Therefore stochastic multi-start particle swarm optimization algorithm (MSPSOA) is proposed in this paper to achieve backhaul reduction and address the issue of lack of diversity, which is related to the basic particle swarm optimization algorithm (BPSOA). …”
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    Conference or Workshop Item
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    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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    Book Chapter
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