Search Results - (( _ evaluation method algorithm ) OR ( based observational force algorithm ))*
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Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…The criteria for each of the negative lightning return strokes parameters were established and defined based on specific mathematical equations. Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Those studies mostly performed the characterization using a conventional method based on manual observations. Nevertheless, this method could compromise the accuracy of data analysis due to human error. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Those studies mostly performed the characterization using a conventional method based on manual observations. Nevertheless, this method could compromise the accuracy of data analysis due to human error. …”
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition
Published 2022“…A new filtering algorithm adopted from a spectral subtraction filter was developed to preserve the impact response in impact-based EMA. …”
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Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach
Published 2024“…The PID controllers were tuned automatically by the PSO algorithm based on the same identified models. The performance of both developed controllers was compared and analyzed. …”
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Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
Published 2021“…Two sets of data under shutdown and running condition were recorded to observe the effect of ambient operating force. Under the operating condition, the measured FRF show the non-identical features at operating frequencies as compared to the baseline data. …”
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Object texture recognition based on grasping force data using feedforward neural network / A. B. Roslan and R. L. A. Shauri
Published 2022“…Force sensor data from grasping experiments by the robot hand for a bottle and a ball were used as inputs to the recognition algorithm. …”
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Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…In this research, two algorithms have been proposed in which first algorithm is based on bipolar DC signals while second algorithm is based on field oriented control (FOC) principle. …”
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Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods
Published 2021“…The evaluation criteria of Many Objective Optimization algorithm (MaOO) play a critical role in evaluating the competition MaOO algorithms. …”
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Development of a sensor device algorithm and monitoring system for the pin-on-disc (POD) tribometer
Published 2024text::Final Year Project -
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Linear active control algorithm to synchronize a nonlinear HIV/AIDS dynamical system
Published 2014“…Chaos synchronization between two chaotic systems happens when the trajectory of one of the system asymptotically follows the trajectory of another system due to forcing or due to coupling.This research paper addresses the synchronization problem of an In-host Model for HIV/AIDS dynamics using the Linear Active Control Technique.In this study, using the Linear Active Control Algorithm based on the Lyapunov stability theory, the synchronization between two identical HIV/AIDS chaotic systems and the switching synchronization between two different HIV/AIDS and Qi 4-D chaotic systems has been observed. …”
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Evaluation of Lightning Current Using Inverse Procedure Algorithm.
Published 2013“…In order to validate the proposed method, a set of measured electromagnetic fields are applied on proposed algorithm and the evaluated currents are compared to the corresponding measured current as well as the results are discussed accordingly. …”
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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…One of them is the dynamic programming method. On this research is to perform an evaluation on the performance between the dynamic programming with other existing method as comparison. …”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…In order to evaluate the proposed algorithm, some performance metrics including the number of Pareto points, mean ideal points, and maximum spread are used, then the t-test analysis is done which points out that there is a significant difference between aforementioned algorithms.…”
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Nonlinear response prediction of spar platform using artificial neural network / Md. Alhaz Uddin
Published 2012“…Feed-forward neural networks with back-propagation algorithm are used to train the network. After training the network, the response of the spar platform is obtained promptly for newly selected environmental forces. …”
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Performance evaluation of heuristic methods in solving symmetric travelling salesman problems
Published 2016“…The modified RTS algorithm also performed better compared to the existing heuristic methods. …”
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Prediction Of Leaf Mechanical Properties Based On Geometry Features With Data Mining
Published 2019“…Findings showed that the numerical predictions on FT and ST (RRSE ~ 25%) were about two folds better than the WT and SWT (RRSE ~50%) in the six algorithms tested. The best prediction performance was gained on FT indicator using the M5P algorithm (RRSE = 22.44%). …”
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Speed-up robust features based 3D object recognition for grasping by three fingered robot hand / Nurul Hanani Remeli
Published 2018“…Meanwhile, the strength of the gripping force is measured by comparing the result of motor position angle with the voltage from a force sensor attached at each of the robot finger tips. …”
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