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Parameter identification
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This paper deals with implementing Proper Generalized Decomposition (PGD) technique in solving the problem of identifying Young's modulus of linear elastic isotropic material from fullfield measurements by finite element model updating (FEMU) method.
10p
viambani
18-06-2024
3
1
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Part 2 book "Modeling, simulation and control of electrical drives" includes content: Direct torque control of PM synchronous motor drives; matrix converter-driven AC motor drives, an online parameter identification method for AC drives with induction motors; sensorless control of IM drives, sensorless control of PMSM drives; predictive torque control of induction motor drive; multiphase machine drives; fractional-slot concentrated winding machines and drives.
358p
dianmotminh00
22-04-2024
3
3
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Part 2 book "Plasticity of metals - Experiments, models, computation" includes content: Development and improvement of unified models and applications to structural analysis, theoretical and computational shakedown analysis of non linear kinematic hardening material and transition to ductile fracture, parameter identification for inelastic constitutive equations based on uniform and non uniform stress and strain distributions,... and other contents.
225p
muasambanhan07
18-02-2024
5
2
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Ebook "Analysis of kinetic reaction mechanisms" describes methods for the analysis of reaction mechanisms that are applicable in all these fields. Topics addressed include: how sensitivity and uncertainty analyses allow the calculation of the overall uncertainty of simulation results and the identification of the most important input parameters, the ways in which mechanisms can be reduced without losing important kinetic and dynamic detail, and the application of reduced models for more accurate engineering optimizations.
369p
nhanphanguyet
28-01-2024
9
3
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This paper presents a new method to estimate online four parameters of the interior permanent magnet synchronous motors (IPMSM), including stator resistance, d-axis inductance, q-axis inductance and permanent magnet flux linkage.
8p
vimichaelfaraday
14-12-2023
9
4
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Immunotherapy has transformed cancer treatment patterns for advanced hepatocellular carcinoma (aHCC) in recent years. Therefore, the identification of predictive biomarkers has important clinical implications.
15p
visharma
20-10-2023
3
3
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This paper presents the method of determining the feature parameters and then using the Convolution Neural Network (CNN), Long-Short Term Memory networks (LSTM), and Convolutional Recurrent Neural Network (CRNN) to classify and identify some Vietnamese folk tunes as Quanho and Cheo.sing deep neural networks
21p
vimulcahy
18-09-2023
7
3
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An explicit expression of natural frequencies through crack parameters is derived for multiple cracked beams with simply supported boundaries using the Rayleigh quotient. The obtained expression provides not only a simple tool for calculating natural frequencies of multiple cracked beams, but also allows employing the so-called crack scanning method for detecting multiple cracks in simply supported beams from measured natural frequencies.
13p
viwolverine
11-07-2023
6
3
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Suffusion is one of the four types of internal erosion and accounts for 46% of erosion phenomena in earth dams. Suffusion is an erosion of fine particles inside the soil structure that move out of the voids between coarse particles caused by permeability flow. Identification of internal erosion is necessary to mitigate the loss of humans and property as underground erosion occurs.
6p
viwarmachine
01-07-2023
4
3
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This paper introduces a control system synthesis method for linear MIMO systems with variable parameters and the impact of unmeasured external disturbances, which is very common in industrial fields. For practical applications, optimal control methods are often used for the system to achieve the desired quality parameters.
8p
viironman
02-06-2023
8
3
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The article will propose a new algorithm for computing the uncertainty on modal parameters obtained from this multi-order SSI (MOSSI) based on QR decomposition (QRD). The new uncertainty algorithm only computes uncertainty bounds at the highest model order and gives bounds at lower orders by mean of selection matrices.
9p
vidoctorstrange
06-05-2023
4
3
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The aim of the research for this thesis is to develop objective measurement techniques that relate to the perceived subjective functional performance of critical listening rooms. It is also hoped that the research will lead to an increased understanding of the role of the individual listener in respect to their preferred room acoustical configuration.
143p
runthenight07
01-03-2023
6
3
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This study mainly focuses on building, training, and optimizing the artificial neural networks using simulation databases obtained from the RELAP5 simulation program for VVER-1000 reactor technology. Results clearly showed the potential application of ANN-based model for detecting the break size even with uncertainty of input parameters added.
6p
vicedric
08-02-2023
5
3
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The research has designed a novel active truck seat suspension system for a further study of active vibration control. A 5-degree-of-freedom driver and seating suspension system model for active vibration control has been developed. A novel fast system parameter identification method from vibration measurement data has been proposed for the seat-occupant system based on the multi-objective Genetic Algorithm optimization (GA).
206p
runthenight04
02-02-2023
9
4
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A long fruit (lf) mutant was obtained from the cucumber inbred line ‘SN5’ by ethyl methanesulfonate (EMS)-mediated mutagenesis. We found that plant height and internode length of lf were significantly decreased, while leaf area was significantly increased in comparison to wild type (WT) plants. Higher carbohydrate level, together with lower chlorophyll content and photosynthetic parameters, was revealed in lf leaves than those of WT.
13p
lyhuyenthu
31-01-2023
7
2
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Weed identification helps ensure crop yield and realize precision agriculture. Although the deep learning-based methods have achieved high performance, their needed large-scale annotated data is difficult to obtain, and the massive parameters lead to difficulties in model deployment in embedded applications. To develop efficient crop weeds classification system, we propose a dissimilarity-based method to select few but representative samples and consider data diversity.
12p
lyhuyenthu
31-01-2023
9
3
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This paper presents an approach to synchronize fault records from two-ends of a power transmission line, which is used for fault location identification. The proposed method allows synchronizing both voltage and current signals of fault records from both line ends without using the parameters of line length and line parameters.
4p
vijaguar
16-11-2022
10
3
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The thesis " A Study of Vibration Control of Truck Seat Suspension System" has designed a novel active truck seat suspension system for a further study of active vibration control. A 5-degree-of-freedom driver and seating suspension system model for active vibration control has been developed. A novel fast system parameter identification method from vibration measurement data has been proposed for the seat-occupant system based on the multi-objective Genetic Algorithm optimization (GA).
206p
runordie3
06-07-2022
13
3
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In this research we propose a combination approach-ing of adaptive algorithm called Condition Memory Re-cursive Least Square (CMRLS) to continuously identi-fies the parameters of battery equivalent circuit model (ECM), the achieved model then be used to estimate SoC by Uncented Kalmann Filter (UKF).
4p
vistephenhawking
26-04-2022
9
2
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This paper proposes a node location identification in WSN based on a combined Ant Lion Optimizer (ALO) with a typical model of localization. The fitness function is modeled mathematically based on estimating distances of the WSN nodes. The updating solutions of the population are figured out for position correcting to improve the node positioning accuracy. The effects of parameters like node density and communicating range is verified in the experiments to evaluate the performance of the proposed method in terms of concerning average localization error and success ratio.
11p
linyanjun_2408
21-04-2022
11
3
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