Search Results - (( motion evaluation force algorithm ) OR ( a simulation based algorithm ))*
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…These simulations were compared to experimental data for validation, where Reduce Residual Algorithm (RRA) was found to be most effective in the determination of ankle moment. …”
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Final Year Project / Dissertation / Thesis -
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Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…The system may actually represent an automated material-handling transporter that can be effectively used in a manufacturing or industrial environment. An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. …”
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Monograph -
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Tubular Linear Switched Reluctance Actuator: Design And Characterization
Published 2019“…The investigation is achieved through the simulation using the Finite Element Method (FEM) analysis and the performance is evaluated based on the generated thrust force. …”
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Tactile slippage analysis in optical three-axis tactile sensor for robotic hand
Published 2014“…The control algorithm is classified into two phases: grasp-move-release and grasp-twist motions. …”
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Conference or Workshop Item -
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Crowd behavior monitoring using self-adaptive social force model
Published 2019“…This work aims to develop a crowd behavior monitoring system using Self-Adaptive SFM. This algorithm is jointly used with Horn-Schunck optical flow as a motion detector for the input video. …”
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An in-process robot calibration of serial link manipulator arm based on a 3-D machine vision for minimal invasive orthopedic surgery operation / Muhammad Azmi Ayub … [et al.]
Published 2010“…Computer algorithm to generate the trajectory planning and to control the motion of the robot. …”
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Research Reports -
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STUDIES ON THE NONLINEAR INTERACTIONS ASSOCIATED WITH MOORED SEMI SUBMERSIBLE OFFSHORE PLATFORMS
Published 2011“…For the evaluation of the slow frequency horizontal motions of the platform, the second order wave forces resulting from the second order temporal acceleration and the structural first order motions were formulated. …”
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Interface micromotion failure simulation of cementless hip prosthesis
Published 2007“…The results showed that models where muscle loads were included had ten times larger micromotion than those modelled without muscle loads. Ignoring muscle forces in any pre-clinical evaluation of femoral stems are therefore not advisable as it will overestimate the stability of the stem.…”
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Monograph -
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The effect of physiological load configuration on interface micromotion in cementless femoral stems
Published 2007“…The results showed that models where muscle loads were included had ten times larger micromotion than those modelled without muscle loads. Ignoring muscle forces in any pre-clinical evaluation of femoral stems are therefore not advisable as it will overestimate the stability of the stem.…”
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Identification of ground vehicle's aerodynamic derivatives using neural network
Published 2008“…Adapting the stiffness and damping approach, the lateral aerodynamic derivatives are evaluated from the identified systematics frequency and damping of a pure yawing motion. …”
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A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…This research also provided some results in combining the rule-based simulation with optimization: first, a feasible schedule was computed and then fine-tuned with the rule-based simulation system, then tested with RMS which is the reactive part. …”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Conference or Workshop Item -
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Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime
Published 2008“…From the extensive simulations based on the performance metrics, the two proposed algorithms have shown distinct improvement and subsequently enhancing the performance of AODV.…”
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A fault syndromes simulator for random access memories
Published 2008“…The simulator allows a user through a GUI to select a March based test algorithm depending on the desired fault coverage and diagnostic resolution. …”
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Article -
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Adaptive beamforming algorithm based on Simulated Kalman Filter
Published 2017“…A modified version of the SKF algorithm, named Opposition-Based SKF (OBSKF), introduced by K. …”
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