Search Results - (( motion optimization techniques ) OR ( evolution computing techniques ))

Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Multilevel optimization for dense motion estimation by Kalmoun, El Mostafa, Saaban, Azizan, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

“…This monograph offers design for fast and reliable technique in the dense motion estimation.This Multilevel Optimization for Dense Motion Estimation work blends both theory and applications to equip reader with an understanding of basic concepts necessary to apply in solving dense motion in a sequence of images.Illustrating well-known variation models for dealing with optical flow estimation, this monograph introduces variation models with applications.A host of variation models are outlines such as Horn-Schunck model, Contrast Invariation Models and Models for Large Displacement.Special attention is also given to multilevel optimization techniques namely multiresolution and multigrid methods to improve the convergence of the global optimum when compared to using only one level resolution in the context of computer vision. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

“…This research has been oriented towards the design of a new technique for fast and reliable dense motion estimation. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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Image restoration techniques for removal of blurred images / Ameer Naeemi Zyarah by Ameer, Naeemi Zyarah

“…In this study, four different techniques are used to remove the motion blur. They are Direct Inverse filter, Wiener filter, Constrained Least Squares filter, and Lucy Richardson algorithm, to restore degraded image (motion blurred image). …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi by Hosseiny Fatemi, Mohammad Reza

“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

“…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
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A review on particle swarm optimization algorithm and its variants to human motion tracking by Saini, S., Rambli, D.R.B.A., Zakaria, M.N.B., Sulaiman, S.B.

“…Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space.This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. …”
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Design and optimization of a linear fiber-reinforced soft actuator for improved linear motion performance by Md Ghazaly, Mariam, Jaafar, Hazriq Izzuan, Hasim, Norhaslinda, Mohd Sobran, Nur Maisarah, Wong, Min Yee, Abdullah, Zulkeflee, Zainal, Nasharuddin

“…This study highlights the significance of parameter optimization in fiber-reinforced soft actuators to achieve superior linear motion performance. …”
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An enhanced motion planning method for industrial robots based on the digital twin concept by Rui, Fan

“…With the rapid advancement of global digital transformation and smart manufacturing strategies, industrial robots and Digital Twin(DT) technologies have emerged as core drivers in promoting intelligent manufacturing upgrades, enhancing production efficiency, and optimizing workforce allocation. Motion planning for industrial robots based on DT technology helps improve trajectory accuracy, optimize operational efficiency, and reduce physical debugging risks. …”
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Differential evolution technique of HEPWM for three-phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Jurifa, Mat Lazi, Bahari, Norhazilina

“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique by Rozaimi, Ghazali

“…Motion control applications are widely applied in the industrial field with the assistance of electro-hydraulic actuator (EHA)system.EHA system is well known to be disclosed to the parameter variations,disturbances and uncertainties which are affected by the changes in the operating conditions such as friction,internal and external leakage.The complexity and nonlinear characteristic of the EHA system leads to a great challenge for controller development and system modelling.The performance of the utilized controller can be improved in order to achieve its best capability.In this paper,the basic knowledge in optimization of the proportional-integral-derivative (PID) controller through Gradient Descent (GD) and Particle Swarm Optimization (PSO)techniques are discussed.The PID parameters obtained through Ziegler-Nichols (ZN) tuning method has been optimized by using the GD method and is compared with PSO optimization technique via MATLAB/Simulink software.The findings show significant improvement in positioning tracking performance when the developed optimization technique is applied.Therefore,the issues degrading the EHA system performance have been reduced.…”
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Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique by Chong, Chee Soon, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Sharifah Yuslinda, Syed Hussien, Yahaya, Md. Sam, Mohd Fua'ad, Rahmat

“…The PID parameters obtained through Ziegler-Nichols (ZN) tuning method has been optimized by using the GD method and is compared with PSO optimization technique via MATLAB/Simulink software. …”
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A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller by Raihan, Mohamad Norherman Shauqie Mohamed

“…This study aims to develop an effective optimal control technique to control and stabilize the quadrotor's altitude and attitude motion. …”
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Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

“…This study proposed a motion planning and control strategy for an autonomous vehicle collision avoidance system based on the potential field (PF) approach with a combination of the parameter scheduling technique. …”
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Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

“…This study proposed a motion planning and control strategy for an autonomous vehicle collision avoidance system based on the potential field (PF) approach with a combination of the parameter scheduling technique. …”
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Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

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Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264 by Fatemi, M.R.H., Ates, H.F., Salleh, R.

“…To solve the above difficulties, we propose several optimization techniques in both algorithm and architecture levels. …”
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