Search Results - (( using optimization modified algorithm ) OR ( time estimation sensor algorithm ))

Modeling of cupping suction system based on system identification method by Kavindran, Suresh

“…The transfer function model also makes use of a continuous-time transfer function. The pole-zero map is used to test the success of the suggested framework in terms of convergence curve responsiveness, output response, and model stability. …”
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

“…Results showed that the filter parameters selection could significantly affect the amplitude of the sEMG as well as it may conceal the exact onset/offset time of the signal. The developed algorithm for the crosstalk recordings detection shows ability in determining the presence of the overlapped measurements period. …”
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Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm by Rosmazi, Rosli, Zamri, Mohamed

“…A comparison was done against particle swarm optimization, genetic algorithm, and sine–cosine algorithm, where the modified cuckoo search algorithm showed the lowest root mean square error and fastest convergence rate among the three algorithms.…”
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Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation by Fernandez, Ibai Gorordo, Ahmad, Siti Anom, Wada, Chikamune

“…Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. …”
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Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network by M. Shahkhir, Mozamir, Rohani, Abu Bakar, Wan Isni Soffiah, Wan Din, Zalili, Musa

“…Computational time result shows the proposed algorithm less computational time at 80.07%, 17.73% and 0.3% compared others.…”
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Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot by Tan, Zhi Zhong

“…The sensor noise and uncertainties causing drift in velocity and discrepancy in estimated position. …”
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Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network by Yew, Tze Hui

“…The algorithm is known as Time Synchronization using Distributed Observer algorithm with Sliding mode control element (TSDOS).The main purpose of proposing TSDOS is to estimate a common global clock time by which all nodes within the WSN can use it for communication purpose. …”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

“…The proposed algorithm is scrutinized and validated using the modified IEEE 30-bus test system. …”
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Improved static and dynamic FBG sensor system for real-time monitoring of composite structures by Vorathin, Epin

“…Thus, the designation of this research study is to improve the current FBG based real-time monitoring system with the use of certain functions and algorithms, that are the instant mesh-grid function, voltage normalization algorithm, CC-LSL algorithm, and FFT function. …”
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Railway wheelset parameter estimation using signals from lateral velocity sensor by Selamat, H., Alimin, A. J., Sam, Y.M.

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Wind farm layout design using modified particle swarm optimization algorithm by Rehman, S., Ali, S.S.A.

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Modified multi verse optimizer for solving optimization problems using benchmark functions by Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid

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Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

“…Clustering technique is able to find hidden patterns and to extract useful information from huge data. Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
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An improved gbln-pso algorithm for indoor localization problem in wireless sensor network by Muhammad Shahkhir, Mozamir

“…This study aims to increase the accuracy of node estimation and to minimize time taken for the node localization process. …”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

“…A set of modified and novel optimization algorithms are proposed in this thesis to deal with different single and multi-objective OPF problems. …”
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Optimization of travelling salesman problem with precedence constraint using modified GA encoding by M. F. F., Ab Rashid, N. M. Zuki, N. M., F. R. M., Romlay, M., Jusop

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Attitude and deformation coupled estimation of flexible satellite using low-cost sensors by Ghani, Marzieh, Assadian, Nima, Varatharajoo, Renuganth

“…However, its computational time is much more than that of EKF. The numerical results also demonstrate that including the flexibility model in the developed estimation equations enables the algorithm to successfully estimate the deformation at any solar panel location without the need for any conventional sensor that directly measures the strain and/or deformation.…”
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Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering by Rashed, Alwatben Batoul

“…Moreover, interpretability also recorded better results on testing problems, where most of the number of rules were fewer than 33. A clustering algorithm based on MOPSO-CD with a modified archive update mechanism (MCPSO-CD) was used to estimate the optimal number of clusters. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain by Mohamad Zihin , Mohd Zain

“…BSA gave the best overall performance by showing improved solutions and more robust convergence in comparison with various metaheuristics used in this work. Multi-objective optimization problems are also addressed by proposing a modified multi-criterion optimization algorithm based on a Pareto-based Particle Swarm Optimization (PSO) algorithm called Multi-Objective Particle Swarm Optimization (MOPSO). …”
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