• Title/Summary/Keyword: practical application

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Lacquer as Adhesive : Its Historical Value and Modern Utilization (접착제로서의 옻; 역사성과 현대적 활용)

  • Jang, Sung Yoon
    • Korean Journal of Heritage: History & Science
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    • v.49 no.4
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    • pp.114-125
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    • 2016
  • Lacquer is one of the most widely used natural resin in East Asia since Neolithic Age. As a major ingredient of lacquerware, lacquer is waterproof, insect-proof and rot-proof to be durable and anti-abrasion, generally utilized for mainly painting purpose. According to lacquerware excavated from several sites of Japan and China, lacquerware seems to appear in Neolithic Age. On the other hand in case of excavation research in Korea, lacquerwares are found after the Bronze Age. The initial purpose of lacquer is estimated to be adhesive, regarding the literatures mentioning bitumen(Yeoksceong ), animal glue(Kyeo) and egg alumen(Nanbaek). Especially piece of jar coffin unearthed in Pyeongtaek Daechu-ri site had trace of restoration by lacquer and hemp as an evidence of lacquer for adhesion in Pre-Three Kingdoms period. Since then a trend to restore the broken ceramics with lacquer and decorate with golden foil lasted especially in Joseon Dynasty. In the field of gold plated lacquer method, mother-of-pearl inlaying technique for lacquerware and restoration of buildings, lacquer is still used as adhesive. Due to matter of reversibility lacquer is being avoided for conservation and restoration of cultural heritage. Lacquer as a traditional material for adhesive since ancient times, however, has advantage in adhesion strength and durability. Because synthetic resin adhesive has problem of emission of volatile organic compounds and aging over time, lacquer receives attention recently. On the contrary, by combination adhesive from mixing lacquer and animal glue, already proved the possibility of applicability and chemical modification. A research to utilize lacquer as modern paint or functional material is also conducted continuously also in China and Japan. To put traditional material into practical use and modernize, chemical research from the molecular level of the lacquer is necessary in the near future.

One year test-retest reliability of the Korea Sasang constitutional diagnostic questionnaire (KS-15) in university students (1년간 검사-재검사법을 통한 단축형 사상체질 진단 설문 (KS-15)의 신뢰도 평가)

  • Bae, Kwang-Ho;Kim, Sang-Hyuk;Go, Ho-Yeon;Park, Ki-Hyun;Lee, Siwoo;Lee, Soojin
    • Journal of Sasang Constitutional Medicine
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    • v.31 no.2
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    • pp.12-21
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    • 2019
  • Objectives This study was aimed to evaluate the one-year test-retest reliability of the Korea Sasang constitutional diagnostic questionnaire (KS-15) in university students. Methods In March 2017, and March 2018, a survey was sent by email to 583 Korean medicine students in two universities. Of these, 149 (25.6%) participated and completed the first survey (test) and second survey (retest). Participants responded to the KS-15 questionnaire and the general characteristics including their age, sex, height, and weight. Cohen's kappa Spearman's rank correlation coefficient and agreement rate (%) were used for the test-retest reliability for each question item and the diagnosis of the Sasang constitution. The independent T-test was used to determine the difference in BMI between Sasang constitutional accordance and discordance groups obtained from the test-retest results of KS-15. Results The agreement of Sasang constitutional diagnosis was 75.8% (Kappa = 0.618), indicating that KS-15 had a certain level (substantial) of test-retest reliability. However, the kappa of each item was 0.161 ~ 0.620, which showed a large difference between the items. The agreements of each Sasang constitution were 85.1% for Taeeumin, 73.6% for Soeumin, and 58.6% for Soyangin. There was no significant difference in the BMI change between Sasang constitutional accordance and discordance groups in the test-retest. Conclusions These results indicate KS-15 has a reliable one-year test-retest reliability. However, further studies will be required to improve reliability, validity and application across different age ranges for the practical utilization of KS-15.

Utilization plan of HUMINT in order to Overcome North Korea's WMD Treats: Focus on Modern Application 'use of spies' in the book of Art of War by Sun Tzu (북한의 WMD 위협 극복을 위한 인간정보 운용방안 : 손자병법 '용간편' 현대적 적용을 중심으로)

  • Lee, Jong Ho;Kim, Yeon Jun
    • Convergence Security Journal
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    • v.19 no.1
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    • pp.135-144
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    • 2019
  • Recently, the Kim Jong Eun regime announced the completion of nuclear armed forces, and has been holding a summit meeting between the ROK and the US administration to promote the denuclearization of the Korean peninsula by the complete dismissal of the North Korean nuclear weapons toward the international community and the Republic of Korea. North Korea's Kim Jong Eun declares complete denuclearization, but in order to complete the real denuclearization of the Korean peninsula we seek, we need more practical preparation and preparation. In modern international society, the jungle law logic is applied precisely. A country that is not prepared cannot exist in history unless it believes only the good will of the other party and makes substantial preparations. Therefore, the top priority for us to prepare at this point is to obtain and manage complete information on the reality of North Korea's weapons of mass destruction. In particular, the weapons of mass destruction possessed by North Korea must be identified early on, and preparations for such weapons are essential, due to the seriousness of the damage. Therefore, this study complements the inherent limitations of modernized technology information in order to obtain accurate information on North Korea's threat of weapons of mass destruction, which is a serious issue directly linked to the survival of the Korean people and the state, And the operation plan was specified.

The Effects of STEAM Program on Preservice Science Teachers' Communication Competency: Their Experiences and Reflection on STEAM Education (STEAM 프로그램이 예비 과학교사의 의사소통역량에 미치는 영향: STEAM 교육에 대한 경험과 성찰)

  • Kim, Sun Young;Jeon, Jae Hyeong
    • Journal of Science Education
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    • v.43 no.1
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    • pp.136-156
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    • 2019
  • This study examined the effects of STEAM program on preservice science teachers' communication competency and further explored their experiences of and reflection on STEAM program. The study design is one group pretest-posttest with mixed methodology using both quantitative and qualitative data. The STEAM program consists of three stages: introduction of STEAM, participation in STEAM activities, and reflection on the STEAM program. The preservice science teachers improved their communication competency after the STEAM program (p < .01). The preservice science teachers represented statistically higher scores on the three subscales of communication competency: Interpretation ability, self-presenting ability, and understanding others' viewpoints. In addition, the preservice science teachers reflected on their STEAM experiences. During the first stage of 'Presentation of the Problem Situation,' the preservice science teachers mentioned that they roused their curiosity due to everyday experience-related, social issues or present issues. In the stage of 'Creative Design,' the preservice science teachers mentioned that they selected the final idea through mutual consent of the members, the practical possibility of everyday life, the previous experience-based decisions, or persuasive power. Further, about 87.5% of preservice science teachers mentioned that they were fully engaged in the 'Emotional Learning' stages due to the application of integrated thinking, everyday related issues, and communication among group members. About 85% of the preservice science teachers mentioned that they could challenge new problems in future situations.

Development and Application of a NCS-based Reference Operation Model for Contract Departments of the Korean Work-and-Study Parallel Colleges (한국형 일학습병행제 대학 계약학과의 NCS기반 표준운영모델 개발 및 적용)

  • Kang, Kiho;Kim, Uijung;Om, Kiyong
    • Journal of Practical Engineering Education
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    • v.11 no.1
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    • pp.61-73
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    • 2019
  • Recently the Korean life-long occupational skill development system is undergoing rapid change and innovation on the basis of NCS (National Competency Standards). In order for the NCS-based occupational training system to be successfully established, it is required to be accepted and applied in the higher education. Universities, however, hesitate to adopt NCS-based contracted education programs of the work-and-study cooperative system due to low relevance of university education to industrial needs and absence of the reference operation model for the NCS-based contracted education programs considering Korean small companies' particular needs. This study aims to develop and apply a reference operation model for NCS-based contracted education programs of the university-linked work-and-study parallel system, focusing on the Department of Mechanical Design Engineering of College of Work and Study in Parallel, Koreatech. In addition, several operational guidelines are suggested within the framework of current law and regulations for successful diffusion of the NCS-based reference operation model. The results of this study are expected to contribute to nation-wide proliferation of NCS-based contracted education programs in the higher education and motivating companies and universities to participate in the work-and-study parallel initiatives.

Loran-C Multiple Chain Positioning using ToA Measurements (ToA 측정치를 이용하는 Loran-C 다중 체인 측위 방법)

  • Kim, Youngki;Fang, Tae Hyun;Kim, Don;Seo, Kiyeol;Park, Sang Hyun
    • Journal of Navigation and Port Research
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    • v.43 no.1
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    • pp.23-32
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    • 2019
  • In this paper, we proposed a multi-chain Time of Arrival (ToA) positioning method to estimate positions using all received Loran-C signals from multiple chains without constraining to a single chain. Conventionally, we have to choose only one chain among several available chains for position estimation using Loran-C. Therefore, the number of signals to be used for positioning is limited to three to five. In general, if more signals are used for positioning estimation, its performance tends to be improved in terms of accuracy and availability. To validate the proposed method for multi-chain Loran-C, we firstly carried out a static positioning test in land. By analyzing the test results, we confirmed that the proposed method works well under a multi-chain Loran-C scenario. Subsequently, another mobile positioning test was conducted on board a vessel under a practical application scenario. From this second test, we successfully demonstrated that the multi-chain ToA positioning method even in situations where the conventional single-chain Loran-C approach fails for positioning.

Social Big Data-based Co-occurrence Analysis of the Main Person's Characteristics and the Issues in the 2016 Rio Olympics Men's Soccer Games (소셜 빅데이터 기반 2016리우올림픽 축구 관련 이슈 및 인물에 대한 연관단어 분석)

  • Park, SungGeon;Lee, Soowon;Hwang, YoungChan
    • 한국체육학회지인문사회과학편
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    • v.56 no.2
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    • pp.303-320
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    • 2017
  • This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.

Case Study of Elementary School Classes based on Artificial Intelligence Education (인공지능 교육 기반 초등학교 수업 사례 분석)

  • Lee, Seungmin
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.733-740
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    • 2021
  • The purpose of this study is to present the direction of elementary school AI education by analyzing cases of classes related to AI education in actual school settings. For this purpose, 19 classes were collected as elementary school class cases based on AI education. According to the result of analyzing the class case, it was confirmed that the class was designed in a hybrid aspect of learning content and method using AI. As a result of analyzing the achievement standards and learning goals, action verbs related to memory, understanding, and application were found in 8 classes using AI from a tool perspective. When class was divided into introduction, development, and rearrangement stages, the AI education element appeared the most in the development stage. On the other hand, when looking at the ratio of learning content and learning method of AI education elements in the development stage, the learning time for approaching AI education as a learning method was overwhelmingly high. Based on this, the following implications were derived. First, when designing the curriculum for schools and grades, it should be designed to comprehensively deal with AI as a learning content and method. Second, to supplement the understanding of AI, in the short term, it is necessary to secure the number of hours in practical subjects or creative experience activities, and in the long term, it is necessary to secure information subjects.

A Study on Data Model Conversion Method for the Application of Autonomous Driving of Various Kinds of HD Map (다양한 정밀도로지도의 자율주행 적용을 위한 데이터 모델 변환 방안 연구)

  • Lee, Min-Hee;Jang, In-Sung;Kim, Min-Soo
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.1
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    • pp.39-51
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    • 2021
  • Recently, there has been much interest in practical use of standardized HD map that can effectively define roads, lanes, junctions, road signs, and road facilities in autonomous driving. Various kinds of de jure or de facto standards such as ISO 22726-1, ISO 14296, HERE HD Live map, NDS open lane model, OpenDRIVE, and NGII HD map are currently being used. However, there are lots of differences in data modeling among these standards, it makes difficult to use them together in autonomous driving. Therefore, we propose a data model conversion method to enable an efficient use of various kinds of HD map standards in autonomous driving in this study. Specifically, we propose a conversion method between the NGII HD map model, which is easily accessible in the country, and the OpenDRIVE model, which is commonly used in the autonomous driving industry. The proposed method consists of simple conversion of NGII HD map layers into OpenDRIVE objects, new OpenDRIVE objects creation corresponding to NGII HD map layers, and linear transformation of NGII HD map layers for OpenDRIVE objects creation. Finally, we converted some test data of NGII HD map into OpenDRIVE objects, and checked the conversion results through Carla simulator. We expect that the proposed method will greatly contribute to improving the use of NGII HD map in autonomous driving.

Does Artificial Intelligence Algorithm Discriminate Certain Groups of Humans? (인공지능 알고리즘은 사람을 차별하는가?)

  • Oh, Yoehan;Hong, Sungook
    • Journal of Science and Technology Studies
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    • v.18 no.3
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    • pp.153-216
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    • 2018
  • The contemporary practices of Big-Data based automated decision making algorithms are widely deployed not just because we expect algorithmic decision making might distribute social resources in a more efficient way but also because we hope algorithms might make fairer decisions than the ones humans make with their prejudice, bias, and arbitrary judgment. However, there are increasingly more claims that algorithmic decision making does not do justice to those who are affected by the outcome. These unfair examples bring about new important questions such as how decision making was translated into processes and which factors should be considered to constitute to fair decision making. This paper attempts to delve into a bunch of research which addressed three areas of algorithmic application: criminal justice, law enforcement, and national security. By doing so, it will address some questions about whether artificial intelligence algorithm discriminates certain groups of humans and what are the criteria of a fair decision making process. Prior to the review, factors in each stage of data mining that could, either deliberately or unintentionally, lead to discriminatory results will be discussed. This paper will conclude with implications of this theoretical and practical analysis for the contemporary Korean society.