Mathematical Model Research of Intelligent Rapid Testing System for Textile Materials Moisture Regain

2011 ◽  
Vol 421 ◽  
pp. 477-482
Author(s):  
Xiang Gang Yin ◽  
Wei Wei Ge
Keyword(s):  
Mathematical Model ◽  
Testing System ◽  
Rapid Testing ◽  
Moisture Regain ◽  
Textile Materials ◽  
Actual Result ◽  
Testing Period ◽  
Testing Method ◽  
Model Research ◽  
New Instrument

Because there exist some disadvantages of the traditional moisture regain testing method (oven drying) for textile materials, such as longer testing period, higher energy wastage, laboring intensity, and inefficient, a new instrument i.e. moisture regain rapid testing system has been researched, designed and manufactured for raw silk in this project. This system can record real-time the weight of raw silk sample during the drying in the certain environment oven. The index prediction model has been developed based on the accumulating generation operator (1-AGO) after the data have been pretreated. According to this model, the percent of error is only 2.09% between the predicted value and actual result of raw silk moisture regain within the drying cycle of 40min by the rapid testing system.

scholarly journals Impact of early detection and vaccination strategy in COVID-19 eradication program in Jakarta, Indonesia

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Dipo Aldila ◽  
Brenda M. Samiadji ◽  
Gracia M. Simorangkir ◽  
Sarbaz H. A. Khosnaw ◽  
Muhammad Shahzad
Keyword(s):  
Mathematical Model ◽  
Basic Reproduction Number ◽  
Reproduction Number ◽  
Vaccination Strategy ◽  
Vaccination Rate ◽  
Rapid Testing ◽  
Social Distancing ◽  
Rapid Spread ◽  
Vaccine Potential ◽  
The Basic Reproduction Number

Abstract Objective Several essential factors have played a crucial role in the spreading mechanism of COVID-19 (Coronavirus disease 2019) in the human population. These factors include undetected cases, asymptomatic cases, and several non-pharmaceutical interventions. Because of the rapid spread of COVID-19 worldwide, understanding the significance of these factors is crucial in determining whether COVID-19 will be eradicated or persist in the population. Hence, in this study, we establish a new mathematical model to predict the spread of COVID-19 considering mentioned factors. Results Infection detection and vaccination have the potential to eradicate COVID-19 from Jakarta. From the sensitivity analysis, we find that rapid testing is crucial in reducing the basic reproduction number when COVID-19 is endemic in the population rather than contact trace. Furthermore, our results indicate that a vaccination strategy has the potential to relax social distancing rules, while maintaining the basic reproduction number at the minimum possible, and also eradicate COVID-19 from the population with a higher vaccination rate. In conclusion, our model proposed a mathematical model that can be used by Jakarta’s government to relax social distancing policy by relying on future COVID-19 vaccine potential.

scholarly journals The Impact of Elongation on Change in Electrical Resistance of Electrically Conductive Yarns Woven into Fabric

Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3390
Author(s):  
Željko Knezić ◽  
Željko Penava ◽  
Diana Šimić Penava ◽  
Dubravko Rogale
Keyword(s):  
Mathematical Model ◽  
Electrical Resistance ◽  
Electrically Conductive ◽  
Textile Materials ◽  
Measurement Results ◽  
Conductive Yarns ◽  
Yarn Count ◽  
As Relationship ◽  
The Impact ◽  
The Mathematical Model

Electrically conductive yarns (ECYs) are gaining increasing applications in woven textile materials, especially in woven sensors suitable for incorporation into clothing. In this paper, the effect of the yarn count of ECYs woven into fabric on values of electrical resistance is analyzed. We also observe how the direction of action of elongation force, considering the position of the woven ECY, effects the change in the electrical resistance of the electrically conductive fabric. The measurements were performed on nine different samples of fabric in a plain weave, into which were woven ECYs with three different yarn counts and three different directions. Relationship curves between values of elongation forces and elongation to break, as well as relationship curves between values of electrical resistance of fabrics with ECYs and elongation, were experimentally obtained. An analytical mathematical model was also established, and analysis was conducted, which determined the models of function of connection between force and elongation, and between electrical resistance and elongation. The connection between the measurement results and the mathematical model was confirmed. The connection between the mathematical model and the experimental results enables the design of ECY properties in woven materials, especially textile force and elongation sensors.

The Application of Laser-EMAT Technique Used to Testing Defect in Rail

2014 ◽  
Vol 875-877 ◽  
pp. 574-577 ◽  
Author(s):  
Yang Zhao ◽  
Zhong Qing Jia ◽  
Guo Rui ◽  
Jian Ma ◽  
Jiang Feng Song ◽  
...  
Keyword(s):  
Quality Control ◽  
Signal Processing ◽  
Early Detection ◽  
Nondestructive Test ◽  
Testing System ◽  
Testing Method ◽  
Acoustic Transducer ◽  
Nondestructive Testing Method ◽  
Electro Magnetic ◽  
Industrial Context

Nondestructive test systems are increasingly applied in the industrial context for their strong potentialities in improving and standardizing quality control. Especially in the service stage of rail, early detection of nucleus defects in the rail can avoid the broken rail accident. The aim of present work is to propose a kind of non-contact nondestructive testing method based on the laser and electro-magnetic acoustic transducer techniques, which is suitable to inspect the nucleus defects. This paper describes the testing system, principle and signal processing. The result shows the relative error of testing nucleus defects is about 3.24 %.

Research on a New Stress Sensor Based on the Amorphous Alloy

2012 ◽  
Vol 241-244 ◽  
pp. 988-992
Author(s):  
Cheng Wen Liu
Keyword(s):  
Mathematical Model ◽  
Amorphous Alloy ◽  
Stress Measurement ◽  
Linear Regression Analysis ◽  
Testing System ◽  
Multivariate Linear Regression Analysis ◽  
Soft Magnetic ◽  
Alloy Material ◽  
Working Principle ◽  
The Mathematical Model

Amorphous alloy material has good soft magnetic properties, so it can be used for stress measurement. At first, the working principle of the stress measurement was analyzed. Secondly its output characteristic mathematical model was established by adopting multivariate linear regression analysis method, and the simulation of the mathematical model was made based on Matlab. Finally a practice measurement with Fe-base TM—M Amorphous alloy was completed. The results of the test have showed that the stress measurement method has some characteristics of being sensitiveness to measure and simple to make a testing system, and a promising method of measuring stress.

Study on Fruits Preservation in View of Surface Glossiness

2011 ◽  
Vol 338 ◽  
pp. 521-524
Author(s):  
Geng Jia Wang ◽  
Xin Guang Lv ◽  
Shu Ting Kuang ◽  
Hui Long Chen ◽  
Jing Peng
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Nondestructive Testing ◽  
Moisture Content ◽  
Linear Relation ◽  
Low Cost ◽  
Testing Method ◽  
Moisture Meter ◽  
R Value ◽  
Nondestructive Testing Method

Abstract: Nowadays, there is no low-cost fruit nondestructive testing method in China. The study aims to put forward a method about acquiring the moisture content of fruits indirectly by general photographic equipments. Firstly, general photographic equipment is used to obtain pictures of fruits or vegetables. Secondly, with the help of Matlab and Photoshop, the surface glossiness of the fruit or vegetable is gained. Thirdly, moisture content of a fruit or vegetable is measured through infrared moisture meter. Meanwhile, a Mathematical Model in Regression Analysis between the R value and the moisture content is established. Lastly, the non-linear relation between surface glossiness and moisture content of the fruit is found. Therefore, a new method about measuring the moisture content of fruits or vegetables through general photographic equipments is sought out.

The Prediction Model Research for Network Traffic Based on ARMA

2014 ◽  
Vol 530-531 ◽  
pp. 760-763
Author(s):  
Zhao Ji Zhang
Keyword(s):  
Prediction Model ◽  
Network Traffic ◽  
Detection System ◽  
Moving Average ◽  
Third Party ◽  
Testing System ◽  
Network Resources ◽  
Network Intrusion ◽  
Model Research ◽  
Auto Regressive

This paper presents a new WIA-PA network intrusion detection system -- Auto Regressive and Moving Average (ARMA) network traffic prediction model. This model can predict the network traffic quickly and accurately, and because this is a third party testing system, it does not need to take network resources, the security of the WIA-PA network design is of vital importance. The simulation results show that our proposed system can effectively detect intrusion attack, improve the performance of the entire network, prolonging the life of the network.

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