• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.271-278
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• 2019

Sochi Heo Ryeon (1808 ~ 1893), who was born in Jindo in the late Joseon Dynasty, is a master of three classes, caligography, painting.It is a representative painter who is called the founder of the Honam Paintings. He learned Confucianism, Buddhism, Taoism from choui and learned the basics of painting.He became a student of Kim Chung Hee as an introduction of choui. Since then, I have correctly understood the painting aesthetic that realizes the painting by the paintings and paintings of chusa. And he succeeded it in the art world of Honam. His life and artistic features are the wandering that lasted over 70, many work activities, and details the records habit of details of "Sochisillok". Sochi's paintings aimed at Namjong painting, expressing the simple and clear beauty of the free brush and the landscape painting of ye-hwang style. In addition, the peony was painted with bizarre rocks, expressing the lively beauty by changing the brush to be called 'Heo-peony'. And it fulfilled the desire for riches and honors and the taste of Sunbee at the same time, and it became a representative material of 'Unlimsanbang' after being passed on to the house. His naturalized style of painting and painting aesthetic have been influential to the art world in modern Korea until now, forming a painter 's vein for 200 years over 5 generations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.313-315
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• 2019

Although Korea's fashion market has negative growth, it has been growing again since 2018. This phenomenon means that people are becoming more interested in fashion. As interest in fashion grows, people visit various community sites for reference to find a suitable coordination for themselves. Most community sites, however, are manually categorizing each garment. Not only do these tasks take a lot of time, but they also make it difficult to search for multiple clothing at the same time. In other words, I can't choose what I want at the same time, and if I choose what I want, I have to look at what the model is wearing and refer to it. The problem with this may not help because the coordination in which the model provided is worn is more likely to be the one that the user does not want. In this paper, when the image is uploaded to improve the problem, the clothing is analyzed with AI analysis model and automatically classified and stored. Therefore, not only can you search for one clothes in the existing way, but you can also search for multiple clothes at the same time. The service is expected to allow more people to easily find and refer to the code for themselves.

• Journal of Life Science
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• v.29 no.5
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• pp.580-587
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• 2019

Benthic macroinvertebrates were analyzed in March, June, September, and December 2018 to evaluate water quality in the Songji River in Sacheon-ci, Korea. The identified benthic macroinvertebrates included 447 individuals belonging to 20 species, 18 families, 12 orders, 5 classes, and 3 phyla. Various ecological parameters were estimated for evaluation of the river status. The total ecological score of benthic macroinvertebrate community (TESB) varied from 17 (Station D) to 41 (Station A). The saprobic index and ecological score of benthic macroinvertebrate community (ESB) for the evaluation of river status revealed a water quality evaluation at Station A of II (oligosaprobic), indicating some satisfactory water protection. The benthic macroinvertebrate index (BMI) varied from 25.207 (Site C) to 39.348 (Station A). The evaluation of the river status at Stations C and D was polysaprobic, and sensitive taxa were absent. The mean Shannon-Weaver index (H') of diversity varied from 1.288 (Station D) to 2.250 (Station A). The classification of saprobity based on H' was ${\beta}$-mesosaprobic at Station A and ${\alpha}$-mesosaprobic at the other stations. The value of geometric density was varied from 1.229 (Station A) to 2.071 (Station D), with a mean of 1.582. An artificial load is being added to this river. One of load is the rectal river construction which flows straight through the river physics. Thus, the environment of living organisms deteriorates due to insufficient water. In order to secure the quality of the Songji River and a good environmental habitat, several low-height stepped-beam structures are required.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.39-49
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• 2019

Advances in IoT data analysis technology have made it easier to analyze situation and provide interactive services based on the context. Most of digital signage application have been used to provide information uni-directionally, but in the future it will evolve to provide personalized content according to the individual user situation and responses. However, it is not easy to modify or apply the existing interactive digital signage platforms due to their hardware dependency. The proposed platform is modularized by dividing main functions into two, the cloud and the edge, so that advertisement resources can be easily generated and registered. Thus, interactive advertisement can be rendered in a timely manner based on sensor analysis results. At the edge, personal data can be processed to minimize privacy issues, and real-time IoT sensor data can be analyzed for quick response to the signage player. The cloud is easier to access and manage by multiple users than edge. Therefore, the signage content generation module improves accessibility and flexibility by handling advertisement contents in the cloud so that multiple users can work together on the cloud platform. The proposed platform was developed and simulated in two aspects. First is the provider who provides the signage service, and second is the viewer who uses the content of the signage. Simulation results show that the proposed platform enables providers to quickly construct interactive signage contents and responses appropriately to the context changes in real-time.

• Journal of the Korea Institute of Building Construction
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• v.19 no.2
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• pp.131-138
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• 2019

Recently, there are many structures exposed to severe outdoor environments, which results in rapid degradation of durability of the concrete structures. there can be rapid deterioration of the concrete structures from early frost damage due to the insufficient curing in low outdoor temperature condition. The objective of this study is to investigate the effect of thickness change conditions and binding material on early frost damage depth of the concrete exposed to cold weather in winter, and is to clearly assess damage depth of the concrete structure due to early frost damage. Specimens with 300x300x(150, 200, 250, 300mm) were prepared. OPC and OPC+FA+BS were adopted for binders. Test results indicate that the depth of the early frost damage was deeper with the decrease of thickness of members. The brightness of specimens were reduced when the member thickness was thinner. When determining the depth of early frost damage, it can be distinguished into dark color and relatively bright color when dried for approximately 30 minutes in the indoors of $20^{\circ}C$ in temperature and 60% in relative humidity after submerging in water for 24 hours. The dark colored part can be determined easily when measured with vernier calipers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.161-168
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• 2019

Recently, video equipments such as CCTV, which is spreading rapidly, is being used as a means to monitor and cope with abnormal situations in almost governments, companies, and households. However, in most cases, since recognizing the abnormal situation is carried out by the monitoring person, the immediate response is difficult and is used only for post-analysis. In this paper, we present the results of the development of video surveillance system that automatically recognizing the abnormal situations and sending such events to the smartphone immediately using the latest deep learning technology. The proposed system extracts skeletons from the human objects in real time using Openpose library and then recognizes the human behaviors automatically using deep learning technology. To this end, we reconstruct Openpose library, which developed in the Caffe framework, on Darknet framework to improve real-time processing. We also verified the performance improvement through experiments. The system to be introduced in this paper has accurate and fast behavioral recognition performance and scalability, so it is expected that it can be used for video surveillance systems for various applications.

• Journal of The Korean Association For Science Education
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• v.39 no.2
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• pp.233-248
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• 2019

This study shows that the Argovian Cantonal School in Aarau, Switzerland, which Albert Einstein attended from 1895 to 1896, had been closely related to the ideological education controversy in German Gymnasium throughout the 19th century. Due to this controversy, Einstein hardly received a formal science education in Bavaria. Despite the lack of formal education in Germany, he had a habit of self-studying from an early age and continued with this practice all through his life. He had a hard time at the authoritarian school in Munich, but at the democratic school in Aarau, where freedom and autonomy were secured, he was able to achieve emotional stability. For a long time, the city Aarau prevailed as a location of tolerance and multi-culturalism, without religious, regional, and national discrimination. This was possible due to the influence of external and unrestricted social mobility, as well as the Enlightenment from France. As a result, this small public school was able to acquire a mass of qualified human resources from outside of Switzerland. As a consequence of the controversy regarding the educational ideology, the Cantonal School adopted practical thoughts and the Enlightenment that fit the spirit of the times. The school consisted of two independent educational organizations: the Gymnasium, where the 'neuhumanistsch' education for the elite training was conducted, and the 'Gewerbeschule', where a more realistic education system was set up to suit the citizen life. In particular, after 1835, the Gymnasium changed gradually from the pure humanistic education to the 'utraquistisch' ways by introducing practical subjects such as natural history. Thereafter, the Cantonal School became an institution that was able to achieve a genuine humanity, academic, and civic life education. Einstein, who attended the 'technische Abteilung' of the 'Gewerbeschule,' considered this school as a role model of an institution that realized true democracy, and that left an unforgettable impression on him.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.407-416
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• 2019

This study was to investigate the factors affecting the learning strategies of the students in the Department of Health Science. The data collection was conducted through a self-reporting questionnaire to 373 college students majoring in health and health care at two universities in J.do. and the collected data was analyzed using the SPSS/WIN 23.0 program. The study found that there were significant differences in learning strategies depending on Motive of application and major satisfaction level, and there were significant differences in academic stress with the grade, gender, Motive of application, major satisfaction, and academic self-efficiency, and self-directed learning depending on the grade, motive of application, and major satisfaction level. The results showed that the correlation between learning strategy and academic self-efficacy(r=.478, p<.001) and self-directed learning(r=645, p<.001), academic stress(r=-.193, p<.001). Self-directed learning(${\beta}=0.61$), major satisfaction (satisfaction) (${\beta}=0.31$), and major satisfaction (usually)(${\beta}=0.24$) affect the learning strategy, with 42.6% overall explanation. Based on the results of the study, the search for ways to improve major satisfaction levels and self-directed learning skills could have a positive impact on improving the learning strategy of college students in the health sector.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.430-436
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• 2018

Objective: The purpose of this study was to evaluate whether or not the d-dimer level indicating hyperfibrinolysis could be a predictor of early poor outcome (massive transfusion, death within 24 hours) associated with trauma-induced coagulopathy in blunt trauma without significant brain injury. Methods: This study was a retrospective observational study using 516 blunt trauma patients without significant brain injury. The poor outcome group, including patients receiving massive transfusion and those who died within 24 hours, consisted of 33 patients (6.4%). The variables were compared between the poor outcome group and good outcome group, and logistic regression analysis was performed using statistically significant variables. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the poor outcome prediction ability of the initial d-dimer level. Results: The poor outcome group showed more serious anatomical, physiological, and laboratory data than the good outcome group. In the ROC curve analysis for evaluation of the poor outcome prediction of the d-dimer level, the area under the curve value was 0.87 (95% confidence interval [CI], 0.84-0.90) while the cut-off value was 27.35 mg/L. In the logistic regression analysis, the high d-dimer level was shown to be an independent predictor of poor outcome (adjusted odds ratio, 14.87; 95% CI, 2.96-74.67). Conclusion: The high d-dimer level (>27.35 mg/L) can be used as a predictor for the poor outcome of patients with blunt trauma without significant brain injury.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.6
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• pp.568-577
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• 2018

Objective: Performing high quality cardiopulmonary resuscitation (CPR) is important for improving the survival rate with a good neurological outcome and fewer complications. The retention of accurate CPR knowledge is essential for providing high quality CPR. This study examined the effects of chest compression only CPR training on the retention of correct CPR knowledge. Methods: In December 2016, an interview survey to target the study population was conducted by trained interviewers, using a structured questionnaire. The respondents' general characteristics, status of CPR education, and knowledge and willingness regarding CPR were investigated. Pearson's chi-square tests and multivariate logistic regression analyses were used to determine which education-related factors affected the correct skill knowledge of performing CPR. Results: Among the respondents, there are 80 persons (17.4%) who answered correctly in the questions regarding the skills of performing CPR. The respondents who had a willingness to perform CPR to family and strangers were 90.2% and 44.9% respectively. Through multivariable analysis, the factors related to correct skill knowledge in performing CPR in the didactic with practice group were people who had undergone CPR training within 2 years (odds ratio [OR], 2.293; 95% confidence interval [CI], 1.311-4.009), and person who had undergone chest compression only CPR training (OR, 2.044; 95% CI, 1.033-4.042). Conclusion: Chest compression only type of CPR training and the experience of CPR education within 2 years were associated with accurate skill knowledge of performing CPR.