• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.402-415
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• 2016

Most firms have great interest in their innovations, but they have no interest in the patterns of innovation. In particular, firms using the benchmarking method have a tendency to use the same method, which is very dangerous for management. Analyzing the innovation pattern is more important than to benchmark the leading company, because of the differences in the situation of all companies, such as an environment, competition, market, etc. This paper used the Grew & Scott's model, in which each firm has a different innovation pattern for valuable management performance. This study focused on service companies in logistics and aimed to contribute to the logistics industry

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.48-59
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• 2018

Recently, network technology has been used in various fields due to development of network technology. However, there has been an increase in the number of attacks targeting public institutions and companies by exploiting the evolving network technology. Meanwhile, the existing network intrusion detection system takes much time to process logs as the amount of network log increases. Therefore, in this paper, we propose a Spark-based network log analysis system that detects unstructured network attack pattern. by using Snort. The proposed system extracts and analyzes the elements required for network attack pattern detection from large amount of network log data. For the analysis, we propose a rule to detect network attack patterns for Port Scanning, Host Scanning, DDoS, and worm activity, and can detect real attack pattern well by applying it to real log data. Finally, we show from our performance evaluation that the proposed Spark-based log analysis system is more than two times better on log data processing performance than the Hadoop-based system.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.253-259
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• 2021

In line with the modern society where artificial intelligence has spread throughout society, the Ministry of Education decided to provide AI education in kindergartens, elementary, middle and high school classes in 2025, and develop related learning materials and textbooks from 2021. Korea currently does not have state-led AI education for kindergarten and elementary school, so there is no systematic teaching material. Therefore, this study designed and presented textbooks for pattern analysis-based computational thinking development based on the GPS curriculum, a kindergarten SW curriculum studied by Y. S. Jeong and S. E. Lim (2020). Class procedures for using the textbooks were classified as introduction activities, development activities, and organization activities. Supplementary explanations were presented by presenting textbooks and teaching aids along with explanations of each activity. In order for this study to help AI education conducted in 2025, research must be conducted to demonstrate its effectiveness through actual application in the future.

• Journal of Labour Economics
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• v.31 no.2
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• pp.129-156
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• 2008

This paper investigated labor force participation pattern changes of married women from 1980 to 2005. Using the micro samples of Population and Housing Census provided by the Korean National Statistical Office, the following results were obtained. The labor force participation rate of married women has substantially increased from 1980 to 2005, with some significant changes in labor supply pattern worthy of note. The most important finding concerns the highly educated women's and younger cohorts' labor supply patterns. Labor force participation rate rapidly increased among college educated married women and wives of college educated men. This is different from the stylized fact associated with married women's labor in Korea, that is, "More educated, less work." This change is more obvious among recent cohorts born from 1971-1975 and from 1976-1980. In contrast to the spouses who trigger less of an influence on married women's labor, the presence of children still proved to be a critical component.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.171-180
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• 2003

The recent paradigm of web-based teaching-learning is changing into a direction that analyzes the learning patterns of learners on the basis of learners' ability, aptitude, request, interest, learning history, activity profile, etc. and provides adaptive environment with individual learners The present study analyzed learners' learning patterns using data on learning activities and developed a personalization system that provides learning environment adapted to individual learners. This study customized in three aspects, which are recommendation of learning path, recommendation of interface and recommendation of interaction, through Web mining. The personalization system developed in this study was proved to be effective in improving individual learners' satisfaction with learning in Web-based teaching-learning environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.744-746
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• 2013

서버는 사용자의 요청에 따라 정보를 제공한다. 사용자는 외부 혹은 내부 네트워크에서 서버에 접근하여 데이터를 요청하고, 서버는 서버 내의 데이터 스토어에 저장되어 있는 데이터들을 지정된 방식에 맞게 사용자에게 보여주게 된다. 이러한 일련의 처리 과정들은 서버의 로그로 보관되어지며, 로그는 처리 과정의 세부적인 정보들을 가지고 있다. 서버 관리자는 로그에 기록되어 있는 정보들을 이용해 사용자의 행동을 파악할 수 있으며, 악의적이거나 잘못된 접근 또한 감지할 수 있다. 로그데이터 안에는 접속시간, 사용자 IP, 포트정보, 프로토콜정보, 이벤트 등 사용자가 활동한 흔적들이 기록된다[1]. 어떤 사용자가 언제 어떠한 경로로 어떠한 행위를 하였는지에 대하여 로그는 기록하고 있다. 본 논문에서는 이벤트로 서버에 요청하는 쿼리문과 사용자의 IP주소를 이용하여 사용자의 행동 패턴을 파악하고 분석하며, 분석된 행동 패턴과 사용자 정보를 기반으로 악의적인 접근을 방지하고 통제하고자 한다.

• Electronics and Telecommunications Trends
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• v.8 no.2
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• pp.60-68
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• 1993

지금까지 뇌에는 컴퓨터와 같은 클럭(clock) 신호가 없고 신경들 간의 활동은 비동기적이라고 알려져 왔다. 그러나, 1989년 Singer 연구 그룹에서 시각 피질에 있는 많은 신경들이 발진하며 이들 간에는 시각 영상에 따라 동기현상을 보인다고 발표한 후, 많은 실험과 모델링이 행해지고 있다. 이 분야의 응용으로는 여러 분야가 있으며, 특히 동기 발진 모델을 이용하였을 경우에 패턴 분리와 인식에 응용될 수 있다. 본 고에서는 신경회로망의 새로운 기류인 생물학적 발진 신경망의 실험과 모델링에 대한 동향을 분석하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.73-74
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• 2011

댁내에서 사용하는 유틸리티 검침정보인 전기검침, 가스검침 그리고 수도사용량 데이터와 같은 이산적 특징의 시간영역 데이터를 주파수 영역으로 변환하여 분석하면 여러 가지 정보를 얻을 수 있다. 주파수 영역으로 변환된 신호를 고주파 성분과 저주파 성분으로 구분하여 패턴을 분석함으로서 거주자가 댁내에서 정상적인 생활을 하고 있는지 여부를 판단하는 알고리즘을 설계하고 구현하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5608-5618
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• 2015

This study conducted a spatial characterization of the public space using the pattern language of Christopher Alexander. It is the place which the city offers the human various experience. Urban public space has played an important role in flourishing public life through history. It has been a place for communication, cultural events, commercial exchange recreation, etc. among people in the city. But today, various behavior in public space and public life are declined. One of the reason in neglecting the user's need when urban space are planned and managed. This study examined the role and types of urban public space through literature survey and found the reason for its decline. For this public space spatial characteristics and indicators by FGI(Focus Group Interview) derived through. After those, case study was examined Jongro in Seoul and analyzed the spatial characteristics of the urban public space in a pattern language. Consequently, this study presents suitable a space structure direction of the public space and do for rather abundant a city space furtherance.

• Korean journal of communication and information
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• v.41
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• pp.145-180
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• 2008

This study tries to test time reallocation hypothesis proposed by Lee(2005) that claims the time use pattern as a whole has changed as new media is introduced-in this case, internet-in our daily lift. It has been pointed out that researches, confined to study whether time use for traditional media is displaced by a new media, have such a limitation as 'media isolationism' and resulted in incoherent conclusions. In order to verify time reallocation hypothesis, which explains the influence of internet use on daily activities with broad perspectives, this research employed two different methods. First, this study analyzed the differences of time use patterns of daily activities and media use behaviors between internet users and non-users by using t-test. Second, logistic regression was used to confirm that the difference of time use pattern between internet users and non-users in many daily activities. The results show that time use pattern for daily activities has reorganized In the most of the age groups. Especially, in the young age groups, time reallocation by internet appeared more obvious than the equivalent old age groups.