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한일근대문예론에 있어서 「정」(情)의 위치 : 지(知)·정(情)·의(意)의 범주를 중심으로
정병호 韓國暻園大學校아시아文化硏究所 中國中央民族大學韓國文化硏究所 2004 亞細亞文化硏究 Vol.8 No.-
本論文は, 韓國と日本の近代文學史の中で, 近代的文學觀念を成立させたと評價される李光洙の「文學とは何か」(1916)と坪內逍遙の『小說神髓』(1885-86)におれる「情」「人情」の問題を考察したものである. すなわち, 韓國と日本の近代文學成立期に刊行された李光洙の文學論と『小說神髓』を對象にし, そぞれ文學論を立てる際, その立論の中核となった「情」と「人情」がそれぞれの文學論でいかなる機能と役割を果たしていたのか, またそれが孕む意味が何なのかを明らかにしようとした. その二つの文學論を考察した結果, 李光洙の文學論と『小說神髓』はそれぞれ「情」と「人情」とぃう槪念をとおして文學の自立性を目指そうとした. それと同時に, 「情」と「人情」とぃう槪念は勸善懲惡小說として代表される前時代文學を?り越ぇようとする役割をも果たしてぃた.このょうな意味で, 李光洙の文學論の「情」と『小說神髓』の「人情」は, 時間的なあるものの, 韓國と日本の近代文學成立期に共通的な役割を果たしてぃたとぃえる. それで, この「人情」と「情」とぃう槪念に基づき, 『小說神髓』は, 當時日本の功利主義的な<藝術>槪念を通して小說の改良を試み, 李光洙の文學論は<知情意>とぃう人間心理の範疇をとおして文學の槪念を明確にしようとしたのである.
RHIPE 플랫폼에서 빅데이터 로지스틱 회귀를 위한 학습 알고리즘
정병호,임동훈,Jung, Byung Ho,Lim, Dong Hoon 한국데이터정보과학회 2016 한국데이터정보과학회지 Vol.27 No.4
빅데이터 시대에 머신러닝의 중요성은 더욱 부각되고 있고 로지스틱 회귀는 머신러닝에서 분류를 위한 방법으로 의료, 경제학, 마케팅 및 사회과학 전반에 걸쳐 널리 사용되고 있다. 지금까지 R과 Hadoop의 통합환경인 RHIPE 플랫폼은 설치 및 MapReduce 구현의 어려움으로 인해 거의 연구가 이루지 지지 않았다. 본 논문에서는 대용량 데이터에 대해 로지스틱 회귀 추정을 위한 두가지 알고리즘 즉, Gradient Descent 알고리즘과 Newton-Raphson 알고리즘에 대해 MapReduce로 구현하고, 실제 데이터와 모의실험 데이터를 가지고 이들 알고리즘 간의 성능을 비교하고자 한다. 알고리즘 성능 실험에서 Gradient Descent 알고리즘은 학습률에 크게 의존하고 또한 데이터에 따라 수렴하지 않는 문제를 갖고 있다. Newton-Raphson 알고리즘은 학습률이 불필요 할 뿐만 아니라 모든 실험 데이터에 대해 좋은 성능을 보였다. Machine learning becomes increasingly important in the big data era. Logistic regression is a type of classification in machine leaning, and has been widely used in various fields, including medicine, economics, marketing, and social sciences. Rhipe that integrates R and Hadoop environment, has not been discussed by many researchers owing to the difficulty of its installation and MapReduce implementation. In this paper, we present the MapReduce implementation of Gradient Descent algorithm and Newton-Raphson algorithm for logistic regression using Rhipe. The Newton-Raphson algorithm does not require a learning rate, while Gradient Descent algorithm needs to manually pick a learning rate. We choose the learning rate by performing the mixed procedure of grid search and binary search for processing big data efficiently. In the performance study, our Newton-Raphson algorithm outpeforms Gradient Descent algorithm in all the tested data.
빅데이터 분석의 역량 강화를 위한 거꾸로 교실 설계 연구
정병호,김병초,Jung, Byoungho,Kim, Byungcho 디지털산업정보학회 2017 디지털산업정보학회논문지 Vol.13 No.2
The purpose of this study is to empirical case study for the instructional design of flipped classroom by job-capability advancement of IT business majors. A student of IT business school has learned a lot of management educations for four years. But, they don't recognize a connection between school education and business practice. A subject based on the humanities, and social sciences consisted of mostly the memorization. The undergraduate class lack a practice's curriculum by a creative-oriented lesson rather than memorization-oriented. In particular, An IT business is now recognized as a significance emerging IT investment, the Internet of Things, information security, big data and strategy's ERP. For these reasons, it is important for an instructional design for understanding business practices of the students. Accordingly, Flipped classroom with participatory class be needed increasingly for students' practical sense. We will propose a design method of flipped classroom for inspiring business education. In this, new instructional design overturned traditional teaching method. After the student conducts a prior learn at home, school will accomplish a problem solving through question and answer. This design effected a boredom suppress and creative enforcement of student and an intimacy increase of instructor. In addition, A participatory class and reciprocal peer tutoring will be possible by a spontaneous self-directed learning of student. We were designed course of project type based on big data theory and application to target the fourth-year course. In conclusion, the new instruction provided a help to learning synergy between student and lecturer. During the lessons, the student showed improvement of business sense and enhanced problem solving capability. The lecturer has the intimacy through communication interaction with students.
기밀정보 유출 경험을 가진 기업들의 정보사고 대응역량 강화에 관한 연구
정병호,Jung, Byoungho 디지털산업정보학회 2016 디지털산업정보학회논문지 Vol.12 No.2
The purpose of this study is to examine a security investment for firms experienced in confidential information leak. Information security is an apparatus for protection of secret information. The competence of information security is a competitiveness to avoid information leakage in changing business environment. The type of information security is divided into administrative security, technical security and physical security. It is necessary to improve the incident correspondence competence through information security investment of the three types. Therefore, the investment of information security is to enhance information-asset protection of firms. To reinforce accident response competence, an organization discussed an establishment, security technology development, expand investment and legal system of the security system. I have studied empirically targeting the only information leak of firms. This data is a technical security competence and technology leakage situation of firms happened in 2010. During recovery of the DDos virus damage on countries, company and individual, the collected data signify a reality of information security. The data also identify a security competence of firms worrying information security management. According to the study, the continuous investment of information security has a high competence of accident correspondence. In addition, the most of security accidents showed a copy and stealing of paper and computer files. Firm on appropriate security investment is an accident correspondence competence higher than no security investment regardless of a large, small and medium-sized, and venture firm. Furthermore, the rational security investment should choose the three security type consideration for firm size.