Search Results - (( using identification using algorithm ) OR ( using function sensor algorithm ))

Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

“…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah by Mohamad Izzudin , Hussein Shah

“…Multilayer Perceptron (MLP) with backpropagation learning algorithm ANN is used in this study. Moreover, this study needs to minimize the number of samples used by reducing number of sensors and frequency range used without affecting the performance accuracy. …”
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A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron by Hossain, M.S., Ong, Z.C., Ismail, Z., Khoo, S.Y.

“…Impact force identification from response sensors is important especially when force measurement using force sensor is not possible due to the installation or dynamic characteristic altering problems. …”
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

“…Region growing segmentation and radial basis function algorithms are considered a powerful tool to minimize the mixed pixel classification error.…”
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Safe experimentation dynamics algorithm for identification of cupping suction based on the nonlinear Hammerstein model by Kavindran, Suresh, Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad

“…The research contribution lies in utilizing the SED algorithm to tune the parameters of the Hammerstein model specifically for the cupping suction system and figure out the real system with a continuous-time transfer function. …”
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

“…Using large step size value will produce high convergence speed and high missadjustment while using small step size value will produce slow convergence speed and low missadjustment. since in real scenario the input signal power does not remain constant, that will change the step-size according the changes of the input signal of the algorithm which increase the tradeoff between the convergence speed and the missadjustment. …”
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Modelling of cupping suction system based on system identification method by Suresh, Kavindran, Ghazali, M. R., Ahmad, M. A.

“…In contrast, the input variable is determined by the speed of the pump applied in various locations. The transfer function model also makes use of the continuous-time transfer function.…”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

“…Secondly, for the intelligent trajectory generation approach, the segmented tree neural networks for each link (inverse kinematics solution) and the randomness with fuzziness (coping the unstructured environment from the cost function) were used. A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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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. …”
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Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network by Mispan, Mohd Syafiq, Jidin, Aiman Zakwan, Mohd Nasir, Haslinah, Brahin, Noor Mohd Ariff, Mohd Nawi, Illani

“…ANN with a resilient back-propagation training algorithm is used as it can model the non-linearity with high accuracy. …”
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Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection by Ahmad, Mohd Ashraf, Musa, Zulkifli, Zawawi, Mohd Anwar, Mohd Falfazli, Mat Jusof, Mohd Rashid, Muhammad Ikram, Suid, Mohd Helmi, Zaharuddin, Mohamed

“…On the other hand, this study also develops the dynamic model of the liquid slosh based on the liquid slosh data from the proposed sensor. Here, the identification of liquid slosh using the Hammerstein model based on Sine Cosine Algorithm (SCA). …”
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Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

“…This study aims to develop automated identification of autism spectrum disorder (ASD) subtypes using convolutional neural networks (CNN) using dynamic FC as its inputs. …”
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Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

“…This study aims to develop automated identification of autism spectrum disorder (ASD) subtypes using convolutional neural networks (CNN) using dynamic FC as its inputs. …”
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Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle by Chan, Shi Jing

“…Two classes of approaches are analysed: the fault system identification approach ANN and the observer-based approach using the extended kalman filter. …”
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Video surveillance: Front-yard monitoring by Low, Bryan Keng Seong

“…Here, the YOLO algorithm will be used for human detection. When there is a human presence, the second stage checks for excessive motions resembling violence with dense optical flow. …”
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Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study by Pi Remli, Mohd Aminuddin, Ghazali, M. F., Azmi, W. H., Mohd Yusof, M. F., M. Yusop, Hanafi, Azmi, M. L.

“…This paper focused on leak identification and localization using Teiger-Kaiser Energy Operator (TKEO) as instantaneous frequency analysis (IFA) while Empirical Mode Decomposition (EMD) as decomposition method with implementation of Integrated Kurtosis Algorithm for Z-Filter (Ikaz) to Kurtosis ratio as the automatic selection criterion for intrinsic mode function (IMF). …”
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IRFOC induction motor with rotor time constant estimation modelling and simulation by Radwan, E., Mariun, N., Aris, I., Bash, S. M., Yatim, Abdul Halim Mohamad

“…Purpose– To provide a new and simple inverse rotor time constant identification method which can be used to update an indirect rotor field oriented controlled (IRFOC) induction motor algorithm.Design/methodology/approach– Two different equations are used to estimate the rotor flux in the stator reference frame. …”
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

“…A simple yet effective rotor time constant identification method is presented and used for updating the slip calculator used by the IRFOC algorithms. …”
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Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement by Abidin H.Z., Din N.M.