• Title/Summary/Keyword: practical application

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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.

A Comparative Analysis of Face-to-face and Non-face-to-face Education Based on the Mock Test for a Radiologist (방사선사면허 시험 대비 모의고사 중심으로 대면 교육과 비대면 교육비교 분석)

  • Kim, Yong Wan;Ahn, Beyung Ju;Lee, Jun Heang;Kim, Ju Mi;Yeo, Hwa Yeon
    • Journal of the Korean Society of Radiology
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    • v.14 no.7
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    • pp.923-930
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    • 2020
  • The COVID-19 crisis inevitably led to full-scale non-face-to-face education in 2020. The researchers selected five universities out of 48 universities in radiology and radiology departments nationwide (1.2 in 2019 and 1.2 in 2020) to examine the results of face-to-face training and non-face-to-face mock tests conducted by senior students in radiology departments and radiology departments of the national health department (12 in 2019 and 1.2 in 2020) in preparation for the license test. It turned out to be. Comparing the results of face-to-face and non-face-to-face training (two in 2019 and two in 2020), statistics were analyzed by nonparametric tests, and the results showed that there were differences in theory (Z=-2.023, p<0.05, application (Z=-2.023), p<0.05), practical skills (Z=-1.753, and p<0.05). As a result of the mock test, non-face-to-face education results in poor grades compared to face-to-face education, it is believed that lectures should be taught differently or various educational methods that can communicate with students should be combined.

The Evaluation of VR Applicable Work in Building Design Phase using IPA (IPA를 활용한 건축 설계단계 VR 적용가능업무 평가)

  • Lee, Dongyoun;Seo, Myoung Bae
    • Smart Media Journal
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    • v.9 no.4
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    • pp.152-161
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    • 2020
  • In the construction, VR(Virtual Reality) is simply used by users to implement and experience 3D modeling in virtual reality, such as safety, practical education, and promotion. The VR related research includes content development and visualization simulation such as disaster safety evacuation simulation and design education contents. Research on developing suitable VR and presenting directionality is insufficient, which is required in practice. Therefore, in this study, prior to the development of VR suitable for the construction, quantitative evaluation, and analysis based on the judgment of experts are performed. However, the research was conducted on the design stages, which are believed to have high needs and application effects of VR during the lifecycle of construction. There are nine tasks that can be applied to VR in the design stage, and these tasks were evaluated and analyzed using IPA(Importance Performance Analysis) by surveying the level of expectations, importance, and performance. As a result, it was evaluated and analyzed that VR and content development was necessary for the review of member interference and collaboration work for decision making among related stakeholders. The results of this study are expected to be used as basic data for the development of VR to be applied in the design stage to the future.