• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.473-481
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• 2020

Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.

• Journal of architectural history
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• v.9 no.2 s.23
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• pp.33-48
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• 2000

This study aims to analyze the construction of Kyungsang KAMYOUNG in the late Chosun dynasty by restoring its constructive system and relating it with the office organization. followings are the summary of this study. 1. Government office of Daegu consists of inn(KAEGSA), Kyungsang KAMYOUNG, and Daegu city hall(BUA), and JINYOUNG. 2. The layout of virtual placement is shown in the in the text. Even though it had been newly constructed due to three times of fire, the fundamental scheme of space is found out not to have been changed since mid-eighteen century at the latest. 3. Followings are the result of analyzing the space of KAMYOUNG, after dividing its space into entry area, main business area and police military business area in the aspect of business. First, entry area consists of 2 door system with external door(UOISAMMUN) and internal door(NAESAMMUN). Second, main business area consists of facilities for inspector, public officials, and low grade employee respectively This space is divided into SUNHWADANG area and JINGCHONGKAK area, and the former consists of active business facilities, and the latter consists of passive business facilities focusing on the rest facilities. Third, business support area consists of facilities for low grade employee and minor assistant respectively, which are placed to the left and right of POJONGMUN and KWANPUNGRU. Fourth, police military business space is in middle(JUNGYOUNG) and forms separate areas to the east of SUNHWADANG. Accordingly, It is certain that the space of Kyungsang KAMYOUNG had been placed in accordance with the nature of business per position.

• Journal of Korea Game Society
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• v.9 no.3
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• pp.15-22
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• 2009

Our society is the information-oriented knowledge society which demands the ability how to use computers to all members of the society and is the aging society which the old people 60 or older exist plentifully. But in our society, there are rarely the computers for the old people which are considered their body limit. In this research, we proposed a grip type Hangul(Korean alphabet)interface which are designed under the consideration for the body limit of the old people. The comparison analysis of the proposed Hangul interface is accomplished with the keyboard(ME TOO SV01) for old persons and the key buttons of the old person cellular phone(LG KV-3900) as existing products. The comparison analysis consists of quantitative evaluation as measurements and qualitative evaluation as a survey of the satisfaction levels of 10 older persons. The results of the quantitative evaluation show that the proposed Hangul interface is the best one in the human-technology-design, the number of input buttons which requires moving of user's fingers, the maximum range of moving of user's fingers, and the number of the fingers to use text inputs. The survey results of the satisfaction levels show that interface shape, and input button's positions have best levels and they show that input button's gaps and ease of use have the second levels but their points are almost same with the best points of the keyboard.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.239-246
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• 2019

In this paper, we propose an effective software education donation model for the social care class. The types of software education for elementary, middle, and high school for the social care class are in the order of after school classes, club activities, creative experiences, and regular classes. In elementary school students, it is effective to precede visual programming education based on block coding and to conduct curriculum convergence with SW and HW at the beginning, and high school students are carrying out text programming education like Python. Software education for social care class The contribution activity model can be classified into five types such as geographically difficult area, multicultural family areas, orphanage, reformatory, and basic livelihood security recipient. In addition, the survey results show that the students' interest in software education and their satisfaction are all very high at 96%. Effective software education for the social care class In the donation model, the lecturers consist of responsible professors, lecturers, and assistant instructors. Software training for the social care class is effective on a year-by-year basis, so that students can feel authenticity and trust. Software education contents focus on visual programming and physical computing education in elementary or middle school, and text programming and physical computing education in high school. It is necessary to construct a software education donor matching system that helps efficient management of software education donations by efficiently matching schools (consumers: elementary, middle, high school) and software education donors(suppliers).

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.263-265
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• 2011

본 연구에서는 터치 스크린을 사용하는 스마트폰에서 보다 편리하고 효율적으로 한글을 입력할 수 있는 방식에 대하여 제안하고자 한다. 기존의 2벌식 자판은 화면의 크기가 제한적인 모바일 환경에 적합하지 않으며, 터치스크린 방식은 미세한 접촉으로도 글자가 입력되기 때문에 사용자가 의도하지 않은 오/탈자가 빈번하게 발생한다. 본 연구에서 제시하는 입력 방식은 한글의 제자원리를 이용하여 자음 입력 후에 스케치를 통해 모음 입력을 부드럽게 이어가는 방식을 제안한다. 제안 연구는 사용자가 제한된 화면 영역을 효율적으로 사용하여 향상된 속도로 한글을 입력할 수 있게 도와주고, 원하지 않는 오/탈자의 발생빈도를 줄이는 효과를 가지고 있다.

• The Journal of Korean Physical Therapy
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• v.13 no.3
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• pp.829-837
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• 2001

Using Video Display Terminals(VDT) in the working environment often causes health complaints in the neck and shoulder region. This study was conducted on ten subjects, in order to investigate the change of electromyographic activities in the neck region(sternocleidomastoid muscle, upper trapezius muscle and erector muscle of cervical spine)with regards to the screen height and document holder position. A total of six different conditions of screen height and document holder position were measured during subjects performed a text-entry task for a duration of 10min. The raw EMG signal was transmuted into the root mean square(RMS). Two-way ANOVA for repeated measures was used to analyse the effects of the two factors. As a result, changing the screen height and document holder position has no effect on electromyographic activities in the neck region.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1056-1062
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• 2006

소니컴퓨터엔터테인먼트의 플레이스테이션(R)이나 마이크로소프트의 엑스박스(R)등의 비디오 게임기가 차지하고 있는 시장의 크기가 점점 커지고 있고, 이에 적용되는 기술도 점점 발전하고 있다. 최근에는 무선랜이나 블루투스 등의 기술을 통한 네트워크 연결을 통해 인터넷 접속이 가능해졌고, 간단한 문서 편집이나 개인 정보 관리 기능도 추가되었다. 이러한 기능들이 추가되면서 비디오 게임기에 문자를 입력하는 방법의 필요성이 일어나고 있다. 하지만 비디오 게임기의 기본 입력 장치인 아날로그 스틱을 이용하여 한국어를 입력하는 방법에 대한 연구는 부족한 상태이다. 본 논문에서는 한글의 창제원리를 이용하여 자음과 모음을 각각 아래쪽, 위쪽, 왼쪽, 오른쪽의 네 가지 기본 그룹으로 분류하고, 시계 방향 회전과 반시계 방향 회전을 이용해서 자모를 매핑하는 새로운 한국어 입력 방법인 ASK-HIM을 제안한다. ASK-HIM 은 화면 키보드와 비교를 하였을 때 좀 더 좋은 결과를 보여주었고, 단순한 방식으로 사용이 편리하다는 장점을 지니고 있다.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.25-40
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• 2022

This study aimed to understand the increasing number of elder abuses in South Korea, where entry into the super-aged society is imminent, by implementing text mining analysis. Korean Academic journals were obtained from 2004, the establishment year of the senior care agency, to 2021. We performed natural language processing of the titles, keywords, and abstracts and divided them into three segments of periods to identify latent meanings in the data. The results illustrated that the first section included 81 papers, the second 64, and the third 104 respectively, averaging 13.8 annually, which increased its numbers from 2014 until the decrease below the annual average in 2020. Word frequency demonstrated that the common keywords of the entire segments were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'recognition,' 'family,' 'society,' 'prevention plans,' 'experiences,' 'abused elders,' 'abuse prevention,' 'depression,' etc., in consecutive order. TF-IDF indicated that 'influences,' 'recognition,' 'society,' 'prevention plans,' 'abuse prevention,' 'experiences,' 'depression,' etc., were the common keywords of all divisions. Network text analysis displayed that the commonly represented keywords were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'characteristics,' 'recognition,' 'family,' 'prevention plans,' 'society,' 'abuse prevention,' and 'experiences' in the entire sections. concor analysis presented that the first segment consisted of 5 groups, the second 7, and the third 6. We suggest future directions for elder abuse research based on the results.

• Informatization Policy
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• v.23 no.4
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• pp.76-94
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• 2016

Recently in Korea, the importance of information security awareness has been receiving a growing attention. Attacks such as social engineering and ransomware are hard to be prevented because it cannot be solved by information security technology. Also, the profitability of information security industry has been decreasing for years. Therefore, many companies try to find a new growth-engine and an entry to the foreign market. The main purpose of this paper is to draw out some information security issues and to analyze them. Finally, this study identifies issues and suggests how to improve the situation in Korea. For this, topic modeling analysis has been used to find information security issues of each country. Moreover, the score of sentiment analysis has been used to compare them. The study is exploring and explaining what critical issues are and how to improve the situation based on the identified issues of the Korean information security industry. Also, this study is also demonstrating how text mining can be applied to the context of information security awareness. From a pragmatic perspective, the study has the implications for information security enterprises. This study is expected to provide a new and realistic method for analyzing domestic and foreign issues using the analysis of real data of the Twitter API.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.492-496
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• 2010

Wikipedia as an open encyclopedia contains immense human knowledge written by thousands of volunteer editors and its reliability is also high. In this paper, we propose to automatically construct a Korean named entity dictionary using the several features of the Wikipedia. Firstly, we generate class hierarchies using the class information from each article of Wikipedia. Secondly, the titles of each article are mapped to our class hierarchies, and then we calculate the entropy value of the root node in each class hierarchy. Finally, we construct named entity dictionary with high performance by removing the class hierarchies which have a higher entropy value than threshold. Our experiment results achieved overall F1-measure of 81.12% (precision : 83.94%, recall : 78.48%).