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Wyświetlanie 1-3 z 3
Tytuł:
Comparative study of potential whiplash injuries for different occupant seated positionsm during rear end accidents.
Autorzy:
Omerovic, S.
Tomasch, E.
Gutsche, A. J.
Prebil, I.
Powiązania:
https://bibliotekanauki.pl/articles/306862.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
biomechanika
LS-Dyna
FEM
kręgosłup
biomechanics
whiplash
spine
Opis:
Purpose: Whiplash injuries to the cervical spine represent a considerable economic burden on society with medical conditions, in some cases persisting for more than a year. Numerous studies of whiplash injuries have been made for occupant normal seated position, leaving the analysis of neck injuries for out-of-normal positions not well documented. For that purpose, a detailed human cervical spine finite element model was developed. Methods:The analysis was made for four most common occupant seated positions, such as: Normal Position with the torso against the seat back and the head looking straight ahead, Torso Lean forward position with the torso away from the seat back for approximately 10°, Head Flexed position with the head flexed forward approximately 20° from the normal position and HeadFlexed with Torso Lean forward position with the head flexed forward approximately 20° and torso 10° from the normal position. Results: The comparative study included the analysis of capsular ligament deformation and the level of S-curvature of the cervical spine. The developed model predicted that Head Flexed seated position and Head-Flexed with Torso Lean forward seated position are most threatening for upper and lower cervical spine capsular ligament respectively. As for the level of S-curvature, the model predicted that Head-Flexed with Torso Lean forward seated position would be most prone to neck injuries associated with it. Conclusions:This study demonstrated that the occupant seated position has a significant influence on potential whiplash injuries.
Źródło:
Acta of Bioengineering and Biomechanics; 2016, 18, 4; 145-158
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of copper concentrate grade based on color features and least-squares support vector regression
Autorzy:
Ren, C.
Yang, J.
Liang, C.
Powiązania:
https://bibliotekanauki.pl/articles/110309.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
concentrate grade
copper concentrate
LS-SVR
color features
microscopic image
Opis:
In this paper, a new method based on color features of microscopic image and least-squares support vector regression model (LS-SVR) is proposed for indirect measurement of copper concentrate grade. Red, green and blue (RGB), hue and color vector angle were extracted from color microscopic images of a copper concentrate sample and selected for the comparison. Three different estimation models based on LS-SVR were developed using RGB, hue, and color vector angle, respectively. A comparison of three models was carried out through a validation test. The best model was obtained for the hue giving a running time of 30.243 ms, root mean square error of 0.8644 and correlation coefficient value of 0.9997. The results indicated that the copper concentrate grade could be estimated by the LS-SVR model using the hue as input parameter with a satisfactory accuracy.
Źródło:
Physicochemical Problems of Mineral Processing; 2015, 51, 1; 163-172
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integrated estimation model of clean coal ash content for froth flotation based on model updating and multiple LS-SVMs
Autorzy:
Dong, Zhiyong
Wang, Ranfeng
Fan, Minqiang
Fu, Xiang
Geng, Shaowei
Powiązania:
https://bibliotekanauki.pl/articles/110152.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
flotation
clean coal ash content
integrated estimation model
multiple LS-SVMs
Opis:
Clean coal ash content, a prominent product index describing coal froth flotation, is difficult to be measured online. This constraint leads to a lack of timely guidance during operation and impedes the optimal operation of the coal flotation process. To solve this problem, considering the fluctuation of working conditions, the heterogeneity of raw coal and the variation of feed coal classes, an integrated estimation model of clean coal ash content for coal flotation based on model updating and multiple least squares support vector machines (LS-SVMs) is proposed. First, a single estimation model for a single class of coal based on LS-SVM is built, and the internal parameters are optimized by gravitational search algorithm (GSA). Second, the model updating strategy is designed to solve the problem of the decline in single model accuracy. Furthermore, a multiple LS-SVMs model formed by several single models for different classes of coal is studied along with the model switching mechanism to address the problem of model mismatch. Finally, an industrial experiment and evaluation are conducted. The mean relative error between the estimated and actual values is 3.32%, and the correlation coefficient is 0.9331. The estimation accuracy and adaptability of the integrated model can meet the industrial requirements.
Źródło:
Physicochemical Problems of Mineral Processing; 2019, 55, 1; 21-37
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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