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      • KCI등재

        Preparation of activated carbon spheres and their electrochemical properties as supercapacitor electrode

        An Xin,Xing Guannan,Wang Jing,Tian Yanhong,Liu Yunfang,Wan Qiong 한국탄소학회 2021 Carbon Letters Vol.31 No.4

        The carbon spheres (CSs) synthesized by an ultrasonic-spray pyrolysis method were activated for supercapacitor electrode. There are plenty of cracks on the surface of the activated carbon spheres (ACSs), which expend with increasing the activation temperature and activator dosage. The specifc capacitance of ACSs increases with the activation temperature and activator dosage and reach to maximal value at certain conditions. Importantly, the ACS sample activated at relatively low activation temperature (600 °C) and 7 of mass ratio of KOH to CSs has the highest specifc capacitance (about 209 F g−1 at 50 mA g−1 of current density) and indicates the excellent cycling stability after 1000 consecutive charge–discharge cycles. Furthermore, the graphene sheets could be found in the samples that were activated at 1000 °C. And the electrode prepared by the sample has the very low series resistance because of the excellent conductivity of the formed graphene sheets.

      • KCI등재

        Non-Contrast Cine Cardiac Magnetic Resonance Derived-Radiomics for the Prediction of Left Ventricular Adverse Remodeling in Patients With ST-Segment Elevation Myocardial Infarction

        A Xin,Liu Mingliang,Chen Tong,Chen Feng,Qian Geng,Zhang Ying,Chen Yundai 대한영상의학회 2023 Korean Journal of Radiology Vol.24 No.9

        Objective: To investigate the predictive value of radiomics features based on cardiac magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after acute ST-segment elevation myocardial infarction (STEMI). Materials and Methods: We conducted a retrospective, single-center, cohort study involving 244 patients (random-split into 170 and 74 for training and testing, respectively) having an acute STEMI (88.5% males, 57.0 ± 10.3 years of age) who underwent CMR examination at one week and six months after percutaneous coronary intervention. LVAR was defined as a 20% increase in left ventricular end-diastolic volume 6 months after acute STEMI. Radiomics features were extracted from the oneweek CMR cine images using the least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the selected features was evaluated using receiver operating characteristic curve analysis and the area under the curve (AUC). Results: Nine radiomics features with non-zero coefficients were included in the LASSO regression of the radiomics score (RAD score). Infarct size (odds ratio [OR]: 1.04 (1.00–1.07); P = 0.031) and RAD score (OR: 3.43 (2.34–5.28); P < 0.001) were independent predictors of LVAR. The RAD score predicted LVAR, with an AUC (95% confidence interval [CI]) of 0.82 (0.75–0.89) in the training set and 0.75 (0.62–0.89) in the testing set. Combining the RAD score with infarct size yielded favorable performance in predicting LVAR, with an AUC of 0.84 (0.72–0.95). Moreover, the addition of the RAD score to the left ventricular ejection fraction (LVEF) significantly increased the AUC from 0.68 (0.52–0.84) to 0.82 (0.70–0.93) (P = 0.018), which was also comparable to the prediction provided by the combined microvascular obstruction, infarct size, and LVEF with an AUC of 0.79 (0.65–0.94) (P = 0.727). Conclusion: Radiomics analysis using non-contrast cine CMR can predict LVAR after STEMI independently and incrementally to LVEF and may provide an alternative to traditional CMR parameters.

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      • XML 웹 서비스 기반 항공물류 포워딩 포탈 시스템 개발

        조현준,사신우,박경환 東亞大學校附設情報技術硏究所 2005 情報技術硏究所論文誌 Vol.12 No.2

        Existing Airway Logistics System is not made of standard data and papers. XML Web Services is considered solving these problems. In this paper, we study how to develop Airway Logistics Forwarding Portal System based on XML Web Services. And develop the actually usable system in real business.

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        Intelligent identification of mortar void in ballastless slab track using the wheelset acceleration combined with CNN-SVM

        Xin Xin,Zunsong Ren,Yi Yin,Jinsheng Gao 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.12

        Mortar void is a hidden defect in ballastless slab track difficult to be efficiently identified by traditional detection methods. This paper is dedicated to proposing a new detection method to identify the mortar void position and length using the vehicle response combined with the hybrid convolutional neural network-support vector machine (CNN-SVM) classifier. The vertical wheelset accelerations with different mortar void conditions are collected from a vehicle-track coupled dynamics simulation model. The first components decomposed from wheelset accelerations by local mean decomposition and their envelopes are utilized as the training data due to their sensitivity to mortar void. To improve the identification precision, the scope descent method is proposed to determine the range influenced by mortar void (IMVR) and samples are labeled according to IMVR. Meanwhile, identification results are post processed based on the mortar void characteristics. The results show that over 90 % mortar void conditions with the length of 0.65 m are detected correctly and the identification has a higher precision with the mortar void length greater than 0.95 m. The proposed technology of mortar void detection using the wheelset accelerations with the hybrid CNN-SVM classifier provides reference for engineering application, which is of great significance to relieve the pressure of health monitoring of railway track.

      • Analysis of Factors Influencing Communication Popularity Based on Short Video Information Sources: Audience Trust as a Mediated Research Review

        Xin Guo(Guo Xin ),Fang Deng(Deng Fang ) 동북아경상학회 2022 동북아경상연구 Vol.3 No.1

        Purpose – In the online environment, the group definition, marginal scope, and transmission methods of short video creators and audiences have all changed, but the centrality of the audiences’ essence will not change. Their thinking characteristics and behaviors ultimately determine the influence of digital products spread in the network. This paper attempts to explore the relationship between audience trust and communication mechanism from the source of information: the trust or suspicion generated by the creator’s identity type information, and explore its influence on the popularity of communication. Design/Methodology/Approach – We systematically reviews the connotation and extension of audience trust in online media, definition and characteristics of network identity, the disclosure of creator identity types, character setting, authentication and supervision of identity, and communication popularity. Findings – The interaction between short video media and audience includes: information dissemination, value judgment and emotional transmission. Audience trust plays a bridge and check position in the dissemination of short video media, which determines the survival and development of short video media. These contents can provide short video creators with basic information that can effectively affect user behavior, provide them with a basis for decisionmaking in the creation process, increase audience trust, and improve the popularity and effectiveness of media communication. Research Implications – It provides a new research perspective for influencing user identification, social recommendation and other fields.

      • KCI등재

        A Video Traffic Flow Detection System Based on Machine Vision

        Xin-Xin Wang,Xiao-Ming Zhao,Yu Shen 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

        This study proposes a novel video traffic flow detection method based on machine vision technology. The threeframedifference method, which is one kind of a motion evaluation method, is used to establish initialbackground image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple buteffective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics,such as vehicle’s location information, color information and fractal dimension information. Experimentalresults show that this detection method could quickly and effectively detect various traffic flow parameters,laying a solid foundation for enhancing the degree of automation for traffic management.

      • On the Energy Based Control for Underactuated Mechanical Systems

        Xin Xin 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        The energy based control approach aiming to controlling the total energy and actuated variables of underactuated mechanical systems has generated renewed interests in studying these systems. Successful applications of the approach to the swing-up control for the Pendubot (2-link planar robot with passive first joint), the Acrobot (2-link planar robot with passive second joint), and an n-link revolute planar robot with a passive joint robot, have been reported. This paper investigates whether the objective of controlling the energy and actuated variables to some given desired values can be achieved for any underactuated mechanical system. In this paper, we attempt to answer this question by studying the problem of swinging up the Acrobot like robot with a counterweight connected to its first link, called CWA (Counter- Weighted Acrobot). By analyzing globally the behavior of the solution of the closed-loop system consisted of the CWA and the controller designed via the energy based control approach, we show that unless the mechanical parameters of the CWA satisfying a constraint, the swing-up controller fails to achieve the goal of driving the energy to the desired value and stabilizing the actuated variable. Numerical simulation results are provided to validate the theoretical results.

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