• Steel and Composite Structures
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• v.32 no.4
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• pp.443-454
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• 2019

With the aim to put forward the analytical model for calculating the shear capacity of precast steel reinforced concrete (PSRC) beams, a static test on two full-scale PSRC specimens was conducted under four-point loading, and the failure modes and strain developments of the specimens were critically investigated. Based on the test results, a modified truss-arch model was proposed to analyze the shear mechanisms of PSRC and cast-in-place SRC beams. In the proposed model, the overall shear capacity of PSRC and cast-in-place SRC beams can be obtained by combining the shear capacity of encased steel shape with web concrete determined by modified Nakamura and Narita model and the shear capacity of reinforced concrete part determined by compatible truss-arch model which can consider both the contributions of concrete and stirrups to shear capacity in the truss action as well as the contribution of arch action through compatibility of deformation. Finally, the proposed model is compared with other models from JGJ 138 and AISC 360 using the available SRC beam test data consisting of 75 shear-critical PSRC and SRC beams. The results indicate that the proposed model can improve the accuracy of shear capacity predictions for shear-critical PSRC and cast-in-place SRC beams, and relatively conservative results can be obtained by the models from JGJ 138 and AISC 360.

• Journal of Korea Multimedia Society
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• v.22 no.1
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• pp.1-9
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• 2019

Single image rain removal is a typical inverse problem which decomposes the image into a background scene and a rain streak. Recent works have witnessed a substantial progress on the task due to the development of convolutional neural network (CNN). However, existing CNN-based approaches train the network with synthetically generated training examples. These data tend to make the network bias to the synthetic scenes. In this paper, we present an unsupervised framework for removing rain streaks from real-world rainy images. We focus on the natural phenomena that static rainy scenes capture a common background but different rain streak. From this observation, we train siamese network with the real rain image pairs, which outputs identical backgrounds from the pairs. To train our network, a real rainy dataset is constructed via web-crawling. We show that our unsupervised framework outperforms the recent CNN-based approaches, which are trained by supervised manner. Experimental results demonstrate that the effectiveness of our framework on both synthetic and real-world datasets, showing improved performance over previous approaches.

• Journal of Korean Elementary Science Education
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• v.38 no.2
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• pp.216-233
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• 2019

The purpose of this study was to identify the aspects of elementary school students' interactions shown conceptual changes in collaborative scientific argumentation. Fifty sixth graders of an elementary school in Jeonju were selected for this study. Ten small groups consisting of five students each were organized evenly with considerations of their gender, science achievement, scientific discussion experience and degree of communication apprehension. 'Food web and Ecosystem' and 'Change of Moon shape' were selected as the proper topics of collaborative scientific argumentation in terms of difficulty to be understanded by the $6^{th}$ graders. The small group's dialogue was recorded. The students' activity sheets, field note and interviews of the participants were collected. Based on the collected data, we analyzed the aspect of small groups' interaction shown conceptual change of each student. The result of this study was as follows: The interaction aspects of the small group of students who showed conceptual changes in the collaborative scientific discussion have a tendency of showing their discussion responses, explanation-opposition discourse, the use of rigorous criteria, their collaborative attitude and participation.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.219-234
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• 2019

Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.505-514
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• 2021

Among non-timber forest products, Tricholoma matsutake is a high value added item. Many countries, including Korea, China, and Japan, are doing research and technology development to increase artificial cultivation and productivity. However, the production of T. matsutake is on the decline due to global warming, abnormal temperatures and pine tree pest problems. Therefore, it is necessary to identify trends in domestic and foreign research on T. matsutake, respond to preemptive research and development to preserve the genetic resources of T. matsutake and increase its productivity. Based on the correlation between keywords in the high frequency keywords, it was observed that microbial clusters of T. matsutake are mainly found in Korea. The main focus in China has been the pharmacology studies on the ingredients of T. matsutake. The main focus in Japan has been on preserving the genetic diversity and species of T. matsutake. Thus, future domestic studies of T. matsutake will require pharmacological studies on the ingredients of T. matsutake and on its genetic diversity and species conservation. In addition, unlike China and Japan, genetic keywords did not appear in Korea at high frequency. Therefore, Korea will have to proceed with research using modern molecular biology techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.637-657
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• 2021

While the conventional vehicle's Head-Units played relatively simple roles (e.g., control of heating ventilation and air conditioning, the radio reception), they have been evolving into vehicle-driver interface with the advent of the concept of Connected Car on top of a rapid development of ICT technology. The Head-Unit is now successfully extended as an IVI (In Vehicle Infotainment) that can operate various functions on multimedia, navigation, information with regards to vehicle's parts (e.g. air pressure, oil gauge, etc.). In this paper, we propose a platform architecture for IVI devices required to achieve the goal as a connected car. Connected car platform (CoCaP) consists of vehicle selective gateway (VSG) for receiving and controlling data from major components of a vehicle, application framework including native and web APIs required to request VSG functionality from outside, and service framework for driver assistance. CoCaP is implemented using Tizen IVI and Android on hardware platforms manufactured for IVI such as Nexcom's VTC1010 and Freescale's i.MX6q/dl, respectively. For more practical verification, CoCaP platform was applied to an real-world finished vehicle. And it was confirmed the vehicle's main components could be controlled using various devices. In addition, by deriving several services for driver assistance and developing them based on CoCaP, this platform is expected to be available in various ways in connected car and ITS environments.

• Clinical and Experimental Pediatrics
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• v.64 no.9
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• pp.443-458
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• 2021

In Korea, several national cross-sectional surveys monitor the diet, nutritional status, and health status of children. This continual dedicated national surveillance system contributes to the identification of nutritional and health issues, establishment of public health policies, and development of nutrition recommendations. This paper provides recent information about the Korea National Health and Nutrition Examination Survey and the Korean Youth Risk Behavior Web-based Survey and describes key nationwide survey findings published in the last 5 years on infant feeding practices and the dietary intake and nutritional status of Korean infants, children, and adolescents. There have been increasing trends in children, and teenagers who skip breakfast, eat fast food, consume sugary drinks, have vitamin D deficiency, and are obese. This review will inform pediatricians, nutritionists, and other health care practitioners who track children's growth and development. It may also help researchers and policymakers identify diet-related policies and strategies for chronic disease prevention in Korean infants, children, and adolescents.

• The Korean Journal of Emergency Medical Services
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• v.24 no.3
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• pp.29-40
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• 2020

Purpose: This study looked into the reality of the emergency medical technology department by analyzing the major indicators of university information disclosure systems and finding the competitiveness of the department of emergency medical technology by reviewing various evaluation indices. Methods: This study is a survey of 24 colleges with emergency medical technology and emergency medical technology departments across the country. Quantitative index data from 2017 to 2019 were collected and analyzed through the university information disclosure center web site. Results: Departments of emergency medical technology are generally higher than the target colleges in quantitative indicators, but the indices are somewhat insufficient in terms of "rate of faculty in full service" and "research performance of per one faculty in full service." Conclusion: Based on the results of this study, we recommend increasing the low indicators to enhance the competitiveness of the departments of emergency medical technology.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.7
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• pp.3-14
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• 2019

This study is to analyze the social integration plan characteristics of public rental housing community facilities in England, Singapore and Korea. The purpose of this study is to present the direction of social integrated community facility planning and management system for the revitalization of the Korean public rental housing community. To this end, similarities and dissimilarities are derived by comparing cases of community facilities in apartments. Methods of this study include literature survey, analyzed government web sites in overseas cases. Also domestic cases are analyzed qualitatively through field visits, expert interviews, and internal data review. The results of this study are as follows: First, various community facilities plans are needed to accommodate the role of private and public spaces. Second, activate the professional community facilities operation system with public-private cooperation. Third, Community facilities should be planned as local infrastructure.

• Journal of the Korean Society of School Health
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• v.33 no.3
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• pp.139-147
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• 2020

Purpose: The study aimed to identify factors affecting unintentional injuries at school focusing on violent experiences in adolescents. Methods: The study used the raw data of the Korea Youth Risk Behavior Web-based Survey (2019). A total of 60,040 students were included in the analysis. Descriptive statistics, χ2 test, and multiple logistic regression were performed, using SPSS version 25.0. General characteristics, gender, school, academic achievement, living with family, socioeconomic status, vigorous physical activity, perceived stress, sleep satisfaction, high caffeine drinking, risky alcohol drinking, smoking, sexual experience, drug use, and safety education, were adjusted for and the relationship between unintentional injuries and violence was analyzed. Results: The results showed 2.4% of the adolescents had experienced violence and 24.7% had suffered unintentional injuries. Violent experiences had a significant effect on unintentional injuries among adolescents. Injuries were 1.93 times higher among adolescents who had experienced violence. Gender, school levels, high-intensity physical activity, stress, sleep satisfaction, high caffeine drinks, dangerous drinking, drug use, and safety education were associated with unintentional injuries among adolescents. Conclusion: Adolescents at high risk of suffering violence and injuries should be identified and assessed preemptively. In addition, it is necessary to implement systematic school health-centered safety education programs in order to prevent violence and injuries.