Search Results - (( using function sensor algorithm ) OR ( using identification system algorithm ))
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1
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…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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2
The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…Region growing segmentation and radial basis function algorithms are considered a powerful tool to minimize the mixed pixel classification error.…”
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3
A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron
Published 2017“…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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4
Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah
Published 2018“…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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5
Safe experimentation dynamics algorithm for identification of cupping suction based on the nonlinear Hammerstein model
Published 2023“…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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6
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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7
Modelling of cupping suction system based on system identification method
Published 2022“…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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8
Modeling of cupping suction system based on system identification method
Published 2022“…The transfer function model also makes use of a continuous-time transfer function. …”
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Undergraduates Project Papers -
9
An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…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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10
Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection
“…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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Research Report -
11
Video surveillance: Front-yard monitoring
Published 2023“…The proposed intelligent surveillance system is expected to have two vital functionalities. …”
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Final Year Project / Dissertation / Thesis -
12
Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle
Published 2018“…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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13
Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network
Published 2022“…Arbiter-PUF is used in our study and NodeMCU ESP8266 is chosen because it is suitable to be used as a sensor node or sink in WSN applications. …”
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14
Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
Published 2019“…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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15
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
16
Forward scattering radar for real-time detection of human activities and fall classification
Published 2019“…Support Vector Machine (SVM) algorithm modified by kernel linear function was used for classifying the fall event from the other activities. …”
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17
Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm
Published 2002“…The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. …”
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18
Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm
Published 2002“…The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. …”
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19
Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement
Published 2023Conference Paper -
20
Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…This study deals with the use of the rule-based fuzzy system for the identification of non-linear dynamic systems. …”
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