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RISS 인기검색어
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- 저자 : Hongyan Chu (검색결과 6 건)
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Multi-Data Association Rule Mining Algorithm Based on Grey Relational Analysis
Hongyan Chu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4
Mining association rules for data is not only an essential part of data mining but also a hot issue in knowledge engineering and researches on data mining technology. Since multi-data mining is characterized as being multi-type, multi-level, multi-implicational and complicated, the efficiency of multi- data association rule mining usually cannot be high, precision and accuracy are of a relatively low degree, and the targets of mining cannot be obtained quickly. Therefore, on the basis of improving traditional association rule mining algorithm, this paper researched on multi-data association rule mining algorithm and based on grey relational analysis, proposed a multi-data association rule mining algorithm. Firstly, the associate objects most relevant to the target objects are obtained through the grey relational analysis, which helps to form single- or multi-target data associates; after that, the multi-data association rule mining model which sets data associates as the new mining objects is established. Under the conditions that the level of support and confidence are met, the frequent patterns of corresponding data associates and further, the multi-data association rule, are obtained. Simulation experiments implied that the model have the advantages of simplicity, practicality, operability, decent precision and accuracy.
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Hongyan Chu,Yingjie Hong,Caixia Zhang,Qi Chen,Ruilong Ding,Congbin Yang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.7
In order to improve the printing quality, this study focused on the thermo-fluidsolid coupling process of ink roller-ink. One of the highlights of this study is to consider the influence of temperature on the rubber hyperelastic parameters, viscoelastic parameters, and ink viscosity. The other highlight is to improve the elastohydrodynamic lubrication theory and Hertz contact theory through the rubber elastic modulus, which is determined by the relaxation curve considering the temperature and working conditions. Furthermore, based on the improved theory, the thermo-fluid-solid coupling model of ink roller-ink was established. Finally, the effect of temperature on the coupling process was analyzed. The results show that under the working conditions, with increasing temperature from 20 °C to 40 °C, the contact half-width increases from 4.2335 mm to 4.4701 mm, and the minimum ink film thickness decreases from 0.5097 mm to 0.1410 mm, and the maximum ink pressure decreases from 0.6802 MPa to 0.6618 MPa.
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Hongyan Chu,Ruilong Ding,Caixia Zhang,Qiang Yu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.12
Ink transfer is achieved by the squeezing and rotation of two rollers, one of which is a roller coated with a viscoelastic rubber layer. In this study, the force caused by ink hydrodynamic pressure on the rubber roller during the rotation is considered, the viscoelasticity of ink and rubber is equivalently substituted by spring-damping unit, and a rolling squeezing theoretical model of two rollers is established to study the node deformation of the rubber roller. The validity of the theoretical model is verified by experiments. Results show that the deformation of the rubber roller is greatly affected by the roller rotational speed, rubber layer thickness, and nip width. The rotational speed and nip width have a significant influence on the stiffness– damping of the ink layer and the ink force, and the rubber layer thickness has a remarkable effect on the squeezing deformation between the rollers.
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Study on the design of ZnO/PANI composites and the mechanism of enhanced humidity sensing properties
Gu Weiyuan,Zhang Hongyan,Chen Chu,Zhang Jun 한국물리학회 2022 Current Applied Physics Vol.34 No.-
ZnO/PANI composite humidity sensor was prepared by hydrothermal method. The first principles of density functional theory study the sensing mechanism. The calculation shows that the oxygen vacancy on ZnO surface is beneficial to the adsorption of water molecules. The {0 0 0‾1} crystal plane with the largest lattice oxygen number in ZnO has a strong adsorption capacity for water molecules, which is also conducive to improving the humidity sensitivity. PANI is easy to be combined on {0 1‾1 0} plane of ZnO, and it indirectly promotes the growth of {0 0 0‾1} plane, increasing the adsorption of water molecules and the proportion of H+ and H3O+ ions. In addition, the N–H group in ZnO/PANI enhances the H+ conduction, which further improves the performance of the sensor. The results concluded that the proportion of lattice oxygen in humidity sensor is an important factor of humidity sensor sensitive detection.
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Preparation and mechanism investigation of highly sensitive humidity sensor based on Ag/TiO2
Yang Chen,Zhang Hongyan,Gu Weiyuan,Chen Chu 한국물리학회 2022 Current Applied Physics Vol.43 No.-
In this paper, a high-performance silver-doped titanium dioxide (Ag/TiO2) humidity sensor was synthesized using a hydrothermal synthesis method for respiratory monitoring. The sensing mechanism was studied by the first principles of density functional theory (DFT). Calculations show that the doping of Ag+ ions increases the adsorption energy of TiO2 to water molecules. Furthermore, the Ti–O bond in TiO2 is broken due to the doping of Ag+ ions, which promotes the generation of Ti3+ defects. Experiments show that the doping of Ag+ ions can increase the hydroxide groups, Ti3+ defects and oxygen vacancies on the surface of TiO2, thus effectively improving the responsivity, linearity and hysteresis of the TiO2 humidity sensor. Compared to TiO2, the resistance of the Ag/TiO2 (0.5 mM) humidity sensor reaches 4.5 orders of magnitude with a high response of 39707.1, maximum hysteresis rate of 4.6%, response/recovery time of 31 s/15 s and the best linearity in a range of 11%– 95% RH. In addition, the Ag/TiO2 humidity sensor has been successfully used to detect different modes of respiration and determine the respiratory rate under different respiratory states. Significantly, this work demonstrates potential application value in human healthcare and activities monitoring.
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