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        A Deep Learning-Based Image Semantic Segmentation Algorithm

        Chaoqun Shen,Zhongliang Sun 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.1

        This paper is an attempt to design segmentation method based on fully convolutional networks (FCN) andattention mechanism. The first five layers of the Visual Geometry Group (VGG) 16 network serve as the codingpart in the semantic segmentation network structure with the convolutional layer used to replace pooling toreduce loss of image feature extraction information. The up-sampling and deconvolution unit of the FCN isthen used as the decoding part in the semantic segmentation network. In the deconvolution process, the skipstructure is used to fuse different levels of information and the attention mechanism is incorporated to reduceaccuracy loss. Finally, the segmentation results are obtained through pixel layer classification. The results showthat our method outperforms the comparison methods in mean pixel accuracy (MPA) and mean intersectionover union (MIOU).

      • KCI등재

        Encapsulation of TiO2 particles with polystyrene and polymethyl acrylic acid and the pigmentary performances

        Chaoqun Ge,Aili Wang,Hengbo Yin 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.4

        TiO2 particles were directly encapsulated with polystyrene and polymethyl acrylic acid by a surfactantfree polymerization method. TiO2 particles were uniformly encapsulated with polystyrene by Van der Waals force and effectively encapsulated with polymethyl acrylic acid by chemical bonding. Encapsulation of TiO2 particles with polystyrene and polymethyl acrylic acid significantly enhanced the organic dispersibility and dispersion stability of TiO2 particles in toluene because the surface property of TiO2 particles was changed from hydrophilicity to organophilicity after polymer encapsulation. The brightness and whiteness of the polymer-encapsulated TiO2 particles were similar to that of the naked TiO2.

      • KCI등재

        Residual stress measurement on propellant tank of 2219 aluminum alloy and study on its weak spot

        Chaoqun Huang,Huan Li,Jianxiong Li,Chuanguang Luo,Yanbing Ni 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.5

        This paper presented residual stress measurement on two circumferential Variable polarity plasma arc welding (VPPAW) joints and one circular closed Friction stir welding (FSW) joint on the propellant tank of 2219 aluminum alloy using the indentation strain-gauge method. Quite large tensile residual stresses were attached to the center and inner areas of the circular closed FSW joint. There were very large tensile stresses in some points of the two circumferential VPPAW joints, among these points, the maximum value was +253 MPa, which was about 63 % of the yield strength of 410 MPa measured in the base material. In addition, the peak of compressive residual stress was about -160 MPa. Above all, there were two typical peaks of residual stress in the circumferential VPPAW joints, one was located in the middle part while the other one was near the start/end position of the joints. Combining the result of residual stress measurement with the characteristics of the tank structure, it can be concluded that circular closed FSW joint around the flange was a weak spot on the propellant tank. And the most vulnerable point on the circular closed FSW joint has also been found.

      • Associating Semantic Sensor Web with Domain Ontology : The Way to Obtain Meaningful Sensor Data

        Chaoqun Ji,Jin Liu,Xiaofeng Wang 보안공학연구지원센터 2014 International Journal of u- and e- Service, Scienc Vol.7 No.5

        To realize the sharing and reuse of sensor data and improve interoperability, semantic sensor web(SSW)is proposed to add semantics information to existing sensor networksby utilizing domain, spatial and temporal anthologies and other related semantic technology.However these is seldom research on how to fully utilize the sensor data through a semantic way such as domain ontology based inference. This paperpresents stateofthe art of SSWin various aspects,and proposesthe method to associate data from semantic sensor web with domain ontology to realize the communication between different domain ontologies and SSW. In addition, this paperalso proposes a new calculation method of semantic similarity amongdifferent entities in different ontology. Experiments show that this method can effectively find the similar entitiesandrealize the knowledge sharing and ontologies reuse.

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        Linking user interaction and new venture growth: the mediating role of new product development

        Chaoqun Zhang,Jingjing Guo,Xiaobo Wu,Hao Jiao 기술경영경제학회 2018 ASIAN JOURNAL OF TECHNOLOGY INNOVATION Vol.26 No.2

        This paper identifies both the breadth and the depth as two crucialdimensions of user interaction from an ecosystem viewpoint. Wepostulate that the breadth and the depth of user interaction arecritical to the number of new products developed anddevelopment speed, which can then lead to new venture growth. Survey data from 341 new ventures from ICT sector illustrates thatthe number of new products developed mediates therelationships between user interaction breadth, user interactiondepth and new venture growth, and development speedmediates the influence of user interaction depth on new venturegrowth. This study contributes to the literature by refining theconceptualization of user interaction, and developing atheoretically grounded research model to investigate therelationships among user interaction, new product developmentand new venture growth.

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        Contact Tracking Development Trend Using Bibliometric Analysis

        Chaoqun Li,Zhigang Chen,Tongrui Yu,Xinxia Song 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3

        The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to mostcountries and poses a challenge to the healthcare system. Contact tracing technology is an effective way forpublic health to deal with diseases. Many experts have studied traditional contact tracing and developed digitalcontact tracking. In order to better understand the field of contact tracking, it is necessary to analyze thedevelopment of contact tracking in the field of computer science by bibliometrics. The purpose of this researchis to use literature statistics and topic analysis to characterize the research literature of contact tracking in thefield of computer science, to gain an in-depth understanding of the literature development status of contacttracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, weconducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Whichcontains more than 10,000 articles, including more than 2,000 in the field of computer science. For populartrends, we use VOSviewer for visual analysis. The number of contact tracking documents published annuallyin the computer field is increasing. At present, there are 200 to 300 papers published in the field of computerscience each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper,we found that the hot topic of contact tracking has changed from the past “mathematical model,” “biologicalmodel,” and “algorithm” to the current “digital contact tracking,” “privacy,” and “mobile application” and othertopics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can displayhigh-quality literature in contact tracking and characterize the development trend of the entire field throughtopic analysis. This is useful for students and researchers new to field of contact tracking ai well as forpresenting our results to other subjects. Especially when comprehensive research cannot be conducted due totime constraints or lack of precise research questions, our research analysis can provide value for it.

      • KCI등재

        The Characterization of Cu-Doped ZnO Thin Films Prepared by Using Radio-Frequency Reactive Magnetron Sputtering

        Chaoqun Cai,Hongqiang Zhang,Jun Xie,Ligang Ma 한국물리학회 2017 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.70 No.9

        Textured zinc-oxide (ZnO) thin films and Cu-doped ZnO (ZnO:Cu) thin films are deposited on glass substrates by using radio-frequency reactive magnetron sputtering. The effect of Cudoping concentration on the crystallization behavior, surface morphology, transmission spectrum, and luminescence properties of the ZnO thin films are systematically investigated by using X-ray diffraction, scanning probe microscopy and photoluminescence spectra. The results indicate that the crystallization quality, morphology, transmission, and luminescence of the ZnO films is affected by Cu-element doping. A stronger preferred orientation toward the c-axis is obtained after Cu doping at an appropriate concentration (3%). The transmittance rate gradually decreases with increasing Cu doping concentration. In the photoluminescence spectra of the samples measured at room temperature, four main emission peaks are observed: a violet peak located at about 390 nm, two blue peaks, one located at about 445 nm and the other at about 485 nm, and a green peak located at about 527 nm. The origins of these emissions are discussed in detail.

      • KCI등재

        Comparisons of Safety Factors for Slope in Nonlinear Soils

        Chaoqun Hou,Rongjian Zhang,Yongxin Li,Zhibin Sun,Biao Zhang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.10

        Slope stability assessment is one of the most important issues for geotechnical engineers. In the framework of a nonlinear failure criterion, four different types of safety factors are presented and their relationships are investigated for soil slope in this study. The variational method is incorporated into the kinematic approach of limit analysis to assess the stability of soil slope with known geometric boundary, and seismic effects are considered. The seismic loads are simplified as external forces acting on the slope. A rotational failure mechanism is used to describe the sliding mode of slopes. The differential equations for the sliding surface and corresponding stress distribution are derived using the variational method and then are employed to generate the sliding surface via the fourth-order Runge-Kutta approach. To avoid the computational complexity, the energy-work balance equation of the kinematic approach, instead of the static equilibrium equation, is used to judge whether the state of the slope is critical. The safety factor is designed as the minimum factor that brings the slope in the limit state. Computational schemes are proposed to calculate the values of safety factors. The validity of the proposed approach is demonstrated through comparison with previous works. Finally, parametric study is conducted to further reveal the relationships among the four types of safety factors.

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