Availability of MFSO using optimal system parameters

2015 ◽  
Author(s):  
Tsvetan Mitsev ◽  
Yordan Kovachev
Keyword(s):  
Optimal System ◽  
System Parameters

Experimental study on an effective method for the friction property of fabrics by the comprehensive handle evaluation system for fabrics and yarns system

2017 ◽  
Vol 88 (8) ◽  
pp. 882-891 ◽  
Author(s):  
Fengxin Sun ◽  
Ruiqiang Gao ◽  
Xiaorui Hu ◽  
Zhaoqun Du ◽  
Weidong Yu
Keyword(s):  
Friction Coefficient ◽  
Evaluation System ◽  
Orthogonal Experiment ◽  
Optimal System ◽  
Cluster Method ◽  
Displacement Curve ◽  
Friction Property ◽  
System Parameters ◽  
Fabric Surface ◽  
Method Analysis

The main topic investigated in this paper is the effective measurement of the fabric friction property by the comprehensive handle evaluation system for fabrics and yarns (CHES-FY). The optimal system parameters of the CHES-FY were determined using an orthogonal experiment design based on the correlations between four curve parameters from the pulling-out force – the displacement curve of the CHES-FY and the friction coefficient tested by the Kawabata evaluation system for fabric surface tester. The repeatability and stability of the CHES-FY under settings of optimal system parameters were also analyzed. Moreover, the four curve parameters were used to cluster the smoothness/roughness handle of fabrics objectively by the k-means cluster method, and the clustering results of the k-means cluster method were compared with those of the subjective cluster method. Analysis of the results showed that the selected optimal system parameters were a good combination, and the CHES-FY with the optimal system parameters provided an effective and reliable evaluation to the friction coefficient and smoothness/roughness handle of fabrics.

Determination of optimal system parameters to measure bending property of fabric based on the CHES-FY system

2014 ◽  
Vol 15 (4) ◽  
pp. 874-881 ◽  
Author(s):  
Cao Sun ◽  
Ruiqiang Gao ◽  
Linge He ◽  
Zhaoqun Du
Keyword(s):  
Optimal System ◽  
System Parameters ◽  
Bending Property

DETERMINATION OF NEURAL NETWORK PARAMETERS BY INFORMATION THEORY

1992 ◽  
Vol 01 (02) ◽  
pp. 205-227
Author(s):  
RÜDIGER W. BRAUSE
Keyword(s):  
Linear Approximation ◽  
Approximation Error ◽  
Quadratic Function ◽  
Neural Nets ◽  
Optimal System ◽  
Relative Distribution ◽  
Information Distribution ◽  
System Parameters ◽  
Non Linear ◽  
Optimal Information

It is well known that artificial neural nets can be used as approximators of any continous functions to any desired degree and therefore be used e.g. in high-speed, real-time process control. Nevertheless, for a given application and a given network architecture the non-trivial task rests to determine the necessary number of neurons and the necessary accuracy (number of bits) per weight for a satisfactory operation. In this paper the accuracy of the weights and the number of neurons are seen as general system parameters which determine the maximal output information (i.e. the approximation error) by the absolute amount (network description complexity) and the relative distribution of information contained in the network. A new principle of optimal information distribution is proposed and the conditions for the optimal system parameters are derived. For two examples, a simple linear approximation of a non-linear, quadratic function and a non-linear approximation of the inverse kinematic transformation used in robot manipulator control, the principle of optimal information distribution gives the the optimal system parameters, i.e. the number of neurons and the different resolutions of the variables.

Analysis on the optimal system parameters of space-borne SAR for urban areas extraction

Optik ◽  
2015 ◽  
Vol 126 (11-12) ◽  
pp. 1236-1239
Author(s):  
Yuanyuan Chen ◽  
Jia Xu ◽  
Xiufeng He ◽  
Jing Wang
Keyword(s):  
Urban Areas ◽  
Optimal System ◽  
System Parameters

scholarly journals Optimal System Parameters and Hybrid Ratio for Fuel Cell Hybrid Electric Vehicles

2020 ◽  
Vol 32 (5) ◽  
pp. 1593
Author(s):  
Lailian Feng ◽  
Ting-Cheng Chang ◽  
Guo Weiwei ◽  
Yi-Chun Xie ◽  
Li-Ping Zheng
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Cell Hybrid ◽  
Hybrid Electric Vehicles ◽  
Optimal System ◽  
System Parameters ◽  
Hybrid Electric ◽  
Fuel Cell Hybrid

Determination of optimal system parameters to characterize the wrinkle recovery of fabrics by an integrated shape retention evaluation system

2019 ◽  
Vol 90 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Yuzheng Lu ◽  
Xiaorui Hu ◽  
Fengxin Sun ◽  
Fujian Peng ◽  
Weidong Gao
Keyword(s):  
Evaluation System ◽  
Elastic Recovery ◽  
Orthogonal Experiment ◽  
Optimal System ◽  
System Parameters ◽  
Alternative Approach ◽  
Shape Retention ◽  
Recovery Angle ◽  
Visual Testing

Measurement methods based on the visual testing principle have been widely used for evaluating the wrinkle recovery property of fabrics; however, the cumbersome testing process and poor adaptability for various fabrics are the main shortcomings of these methods. Here, a facile mechanical testing method named the integrated shape retention evaluation system (ISRES) was developed, providing an alternative approach to assess the wrinkle recovery, as well as the compression recovery and elastic recovery of fabrics. The optimal system parameters of the ISRES in measuring the wrinkle recovery angle were determined using an orthogonal experiment design based on correlation analysis between the curve parameters from the force–displacement curves of the ISRES and the wrinkle recovery angles tested by a standard Shirley crease recovery tester. Moreover, the sensitivity of the ISRES for the differences of the wrinkle recovery of fabrics was analyzed. The results showed that the selected optimal system parameters were a good combination, and the ISRES with the optimal system parameters provided a feasible method to differentiate the wrinkle recovery of fabrics.

The Influence of the Laser Cutting System Performance on Cutting Quality

2013 ◽  
Vol 819 ◽  
pp. 105-109
Author(s):  
Ye Chang ◽  
Jin Jun Ji ◽  
Hong Mei Yin
Keyword(s):  
Experimental Data ◽  
Quality Control ◽  
System Performance ◽  
Laser Cutting ◽  
System Parameter ◽  
Cutting Parameters ◽  
Optimal System ◽  
System Parameters ◽  
Cutting System ◽  
Important Significance

Laser cutting is widely applied in the modern industry. With the development of production, there is a higher demand for the improvement of cutting quality. Hence, investigating the influence of laser cutting parameters on the sheet quality is of important significance in the quality control of the sheet processing. So, this research mainly investigated the influence of the cutting system performance on the cutting quality. First, the experiment was conducted to investigate these system parameters such as mode of light velocity, polarity, nozzle, and airflow etc. Then, by contrasting the experimental data, the optimal system parameter was obtained.

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