• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.2
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• pp.235-248
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• 2022

With the changes in the future educational environment, such as the rapid decline of the school-age population and the expansion of students' choice of curriculum, changes are also required in PCK, the expertise of science teachers. In other words, the categories constituting the existing 'consensus-PCK' and the characteristics of 'science PCK' are not fixed, so more categories and characteristics can be added. The purpose of this study is to explore the potential area of science PCK required to cope with changes in the future educational environment in the form of 'Family Resemblance Science PCK (Family Resemblance-PCK, hereafter)' through Wittgenstein's family resemblance approach. For this purpose, in-depth interviews were conducted with three focus groups. In the focus group in-depth interview, participants discussed how the science PCK required for science teachers in future schools in 2030-2045 will change due to changes in the future society and educational environment. Qualitative analysis was performed based on the in-depth interview, and semantic network analysis was performed on the in-depth interview text to analyze the characteristics of 'Family Resemblance-PCK' differentiated from the existing 'consensus-PCK'. In results, the characteristics of Family Resemblance-PCK, which are newly requested along with changes in role expectations of science teachers, were examined by PCK area. As a result of semantic network analysis of Family Resemblance-PCK, it was found that Family Resemblance-PCK expands its boundaries from the existing consensus-PCK, which is the starting point, and new PCK elements were added. Looking at the aspects of Family Resemblance-PCK, [AI-Convergence Knowledge-Contents-Digital], [Community-Network-Human Resources-Relationships], [Technology-Exploration-Virtual Reality-Research], [Self-Directed Learning-Collaboration-Community], etc., form a distinct network cluster, and it is expected that future science teacher expertise will be formed and strengthened around these PCK areas. Based on the research results, changes in the professionalism of science teachers in future schools and countermeasures were proposed as a conclusion.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.759-769
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• 2008

Convergence technology stimulating participation sharing openness to the public of web 2.0 such as Open-API, Mash-Up, Syndication gives diversity to education field. The convergence in education field means the revolution toward education 2.0 and new education reflecting web 2.0 stream is called 'education 2.0'. Education environment can be the space of social network intimately linked between learners, educators and educational organization. Network technology developed in ontology language makes it possible to educate semantically which understands privatized education service and connection. Especially, filtering system by the reputation system of Amazon and the collective intelligence of Wikipedia are the best samples. Education area can adopt actively because learners as educational main body can broaden their role of participation and communicate bilaterally in the equal position. In this paper, new network architecture in contents linkage is introduced and researched for utilization and analysis of the architecture for web 2.0 technology and educational contents are to be converged. Education 2.0 service utilizing convergence technology and network architecture for realizing education 2.0 is introduced and analyzed so that the research could be a preceding research to the education 2.0 platform foundation.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.333-342
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• 2015

This study analyzes the verbal interaction patterns used in a social network activity analysis that appeared in a science inquiry activity of 31 small groups of science-gifted students consisting of 5 members each. The results of this study are as follows: The interaction patterns showed eight types. The most prevalent interaction pattern, type 1, is triangle-shaped, interacting with 3 members out of 5 without a central member. Type 2 is wye form, interacting with 4 members and with one alienated member. Type 3 is diamond-shaped, interacting with 4 members. Type 4 is ray form, interacting with 5 around a central member. Type 5 has an alienated member and interacts with 4 members around the central member. Type 6 is triangle-branched, 4 members linked to the central member. Type 7 is wye form linked all around the central member. Type 8 is wye form with a more complex link than type 7. These can be classified in two. One is the participation-type where the rest of the 4 members are linked to the central member. The other is the alienation-type where a member/members is/are alienated without a central member. The participation-type appeared in 9 groups (29%), type 4, type 6, type 7, and type 8. The alienation-type showed in 22 groups (71%), type 1, type 2, type 3, and type 5. On the basis of this study, we propose that the best number of members in a group is three. It helps prevent a free-riding effect or isolation of members. Also, we deem it more fruitful if there is a member playing a central role in a group.

• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.311-325
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• 2021

Modern society demands a new science teacher image. Compared to other school ages, elementary school students are the time when the teacher's influence plays a large role and is the time when they first encounter science subjects. The role of science teachers is very important as the starting point for the initial image of science learning and attitudes toward science by elementary science teachers. Therefore, it is very important to correctly establish an image of an elementary science teacher. The purpose of this study is to analyze the images of science teachers that elementary school students prefer and avoid according to their class situation. To this end, 534 elementary school students were divided into five classes: class type, class material presentation method, subject instruction method, subject content explanation method, and class atmosphere, and the image of science teacher who prefers and avoids is described in an open format. Concepts presented by elementary school students were analyzed using Semantic network analysis. The conclusions of this study are as follows. First, the image of a science teacher preferred or avoided by elementary school students was determined according to how the science teacher did the class. Second, elementary school students prefer activity-oriented classes such as experimental classes, and there is a need for classes to be conducted in this manner. Lastly, small changes and efforts of teachers in teaching methods are needed so that changes to science classes preferred by elementary school students can be achieved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.153-155
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• 2017

빅데이터 분석은 데이터베이스에 잘 정리된 정형 데이터뿐 아니라 인터넷, 소셜 네트워크 서비스, 모바일 환경에서 생성되는 웹 문서, 이메일, 소셜 데이터 등 비정형 데이터를 효과적으로 분석하는 기술을 말한다. 대부분의 빅데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 이에 해당된다. 글로벌 리서치 기관들은 빅데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅데이터의 적용을 통해 가치 창출을 위한 노력을 기하고 있다. 본 연구에서는 다음 커뮤니케이션의 빅데이터 분석도구인 소셜 매트릭스를 활용하여 2017년 5월, 1개월 시점을 설정하고 "4차 산업혁명" 키워드에 대한 소비자들의 인식들을 살펴보았다. 빅데이터 분석의 결과는 다음과 같다. 첫째, 4차 산업혁명 키워드에 대한 연관 검색어 1위는 "후보"가 빈도수(7,613)인 것으로 나타났다. 둘째, 연관 검색어 2위는 "안철수"가 빈도수(7,297), 3위는 "문재인"이 빈도수(5,183)로 각각 나타났다. 다음으로 "4차 산업혁명" 키워드에 대한 검색어 긍정적 여론 빈도수 1위는 새로운(895)으로 나타났고, 부정적 여론 빈도수 1위는 위기(516)가 차지하였다. 이러한 결과 분석결과를 바탕으로 연구의 한계와 시사점을 제시하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.182-183
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• 2018

Big data analysis is the process of discovering a meaningful correlation, pattern, and trends in large data set stored in existing data warehouse management tools and creating new values. In addition, by extracts new value from structured and unstructured data set in big volume means a technology to analyze the results. Most of the methods of Big data analysis technology are data mining, machine learning, natural language processing, pattern recognition, etc. used in existing statistical computer science. Global research institutes have identified Big data as the most notable new technology since 2011.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.289-291
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• 2004

정보시스템에 대한 침입탐지는 네트워크 기반의 침입탐지시스템에 의존하였으나, 네트워크 규모의 확대와 암호사용의 증가로 인하여 호스트 기반의 침입탐지시스템을 중심으로 연구되고 있다. 본 논문에서는 CB(Check-Box)에 규정된 정책을 이용한 호스트 기반의 침입탐지 시스템을 설계하여 이를 실험하였다. 침입탐지 실험을 위한 시스템호출 기술은 커널에 프로세스들의 특성을 자세하게 정의하고, 이를 실행할 수 있도록 기반을 구축함으로서 가능하게 하였다. 이러한 기법의 특성은 실행 가능한 프로세스가 시스템에 자원에 정당하게 접근할 수 있는 정책을 자세하게 규정해야 하며, 규정을 기술하기 위한 언어는 보안영역을 효과적으로 표현하고 번역될 수 있어야 한다. 본 연구는 Linux의 커널에서 침입탐지기법에 대한 모형을 제시하고, 공격에 대한 탐지와 탐지결과를 검증할 수 있는 정책을 설정하였다. 제안된 시스템은 커널의 변화에 대한 영향력을 최소화하도록 함으로서 새로운 커널을 쉽게 설치할 수 있기 때문에 정책에 의한 호스트기반의 침입탐지시스템은 운영 탐지 분석을 통하여 침입을 예방할 수 있는 방안을 마련할 수 있다.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.229-233
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• 2004

최근 인터넷과 같은 컴퓨터 네트워크 기술이 발전함에 따라 민간이나 정부 분야에서 전자적 거래(Electronic transaction)가 급증하고 있다. 컴퓨터 네트워크를 통한 원격지간의 비대면 거래방식은 시대가 바귐에 따라 피할 수 없는 현실이 되었으며, 경제\ulcorner경영전반에서도 디지털경제의 도입이 확산되었다. 이러한 흐름으로 전자상거래/e-비즈니스는 기존의 오프라인 매장에서의 구매판매활동을 온라인으로 확대하여 많은 경영 활동이 이루어지고 있다. 전자상거래는 말 그대로 전자적으로 물건을 구매하거나 판매하는 형태로 대금을 지불하는 등의 일반상거래와 관련된 모든 작업을 전자적으로 처리하는 것을 말한다 즉, 컴퓨터와 컴퓨터 통신망을 이용하여 상거래를 수행, 관리하는 새로운 비즈니스 방식을 뜻한다. 전자상거래 시스템은 수많은 종류의 시스템들이 있고, 운영 방식 역시 다양하다 이러한 전자상거래 시스템은 각자 여러 가지 장점과 단점을 지니고 있다. 전자상거래 시스템을 운영하고 있는 현 기업을 대상으로 현재 운영중인 시스템현황, 시스템 구축서버 현황, 시스템 구축언어, 데이터베이스 시스템, 보안 및 침입탐지 시스템, XML의 운영 현황 등의 전자상거래 시스템 활용 현황을 조사 분석하여 조사대상 대기업과 기업에 대해 업종별 분류를 활용하고, 업종별, 연도별 전자상거래/e-비즈니스 활용의 추이를 전망 예측할 수 있으리라 기대된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.11B
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• pp.1020-1029
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• 2008

This paper proposes an high speed pattern matching algorithm and its implementation. The pattern matcher is used to check patterns from realtime input packet. The proposed algorithm can find exact string, range of string values, and combination of string values from input packet at high speed. Given string and rule set are modelled as a state transition graph which can find overlapped strings simultaneously, and the state transition graph is partitioned according to input implicants to reduce implementation complexity. The pattern matcher scheme uses the transformed state transition graph and input packet as an input. The pattern matcher was modelled and implemented in VHDL language. Experimental results show the proprieties of the proposed approach.