• Title/Summary/Keyword: 언어네트워크 분석

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A Study on Recognition of Artificial Intelligence Utilizing Big Data Analysis (빅데이터 분석을 활용한 인공지능 인식에 관한 연구)

  • Nam, Soo-Tai;Kim, Do-Goan;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.129-130
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    • 2018
  • Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

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Design of Node Position Estimation System for Sensor Networks (센서 네트워크의 노드 위치 추정 시스템 설계)

  • Rhim, Chul-Woo;Kim, Young-Rag;Kang, Byung-Wook
    • Journal of Korea Multimedia Society
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    • v.12 no.10
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    • pp.1436-1449
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    • 2009
  • The value of sensing information is decided according to positions of sensor nodes, which are very important in sensor networks. In this paper, we propose a method that estimates positions of nodes by using adjacent node information and received signal strength in a sensor network. With the proposed method, we can find positions of nodes easily because we use information that nodes have. Moreover, we can find distribution easily for all the nodes because we can measure a relative position for a node whose position is not known based on anchor nodes whose positions are already known. We utilized Use case diagram, activity diagram and State machine diagram among several diagrams of UML to implement proposed method in sensor networks that is dynamic system. We can understand exact flow for each function of the proposed method in node position estimation system can be implemented easily. And we can be confirmed that the position of estimated nodes has a little error.

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A Novel Instruction Set for Packet Processing of Network ASIP (패킷 프로세싱을 위한 새로운 명령어 셋에 관한 연구)

  • Chung, Won-Young;Lee, Jung-Hee;Lee, Yong-Surk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9B
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    • pp.939-946
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    • 2009
  • In this paper, we propose a new network ASIP(Application Specific Instruction-set Processor) which was designed for simulation models by a machine descriptions language LISA(Language for Instruction Set Architecture). This network ASIP is aimed for an exclusive engine undertaking packet processing in a router. To achieve the purpose, we added a new necessary instruction set for processing a general ASIP based on MIPS(Microprocessor without Interlock Pipeline Stages) architecture in high speed. The new instructions can be divided into two groups: a classification instruction group and a modification instruction group, and each group is to be processed by its own functional unit in an execution stage. The functional unit was optimized for area and speed through Verilog HDL, and the result after synthesis was compared with the area and operation delay time. Moreownr, it was allocated to the Macro function ana low-level standardized programming language C using CKF(Compiler Known Function). Consequently, we verified performance improvement achieved by analysis and comparison of execution cycles of application programs.

Exploring the Issue Structure of Drone Crime in Newspaper Articles: Focusing on Language Network Analysis (신문 기사에서의 드론 범죄 관련 이슈구조 탐색: 언어 네트워크 분석을 중심으로)

  • Park, Hee-Young;Lee, Soo-Bum
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.20-29
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    • 2021
  • This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.

Agent-On-Demand for Distributed System Management (분산 시스템이 관리를 위한 에이전트-온-디맨드)

  • 설승진;이금석
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10a
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    • pp.148-150
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    • 1998
  • 분산 시스템이 널리 적용됨에 따라 효율적인 분산 시스템 관리 방안 연구가 다양하게 진행되고 있다. 그러나 SNMP 나 CMP 에 바탕을 둔 클라이언트/서버 방식의 분산 시스템 관리 환경은 확장성, 상호운영성, 신뢰성, 유용성 등과 관련하여 많은 제한점을 드러내고 있다. 근래에는 이러한 단점을 극복하기 위해 시스템 관리에 이동 에이전트(mobile agent)를 적용하려는 연구가 집중적으로 이루어지고 있으며, 이러한 연구는 자바 언어의 출현으로 가속화되고 있다. 본 논문에서는 관리자 응용(manager application)이 관리 작업을 수행하는 이동 에이전트를 관리 대상 노드에 파견()하는 일반적인 방식에서 탈피하여 관리 대상 노드가 관리자 응용에게 특정 이동 에이전트의 파견을 요청하는 에이전트-온-디맨드(Agent-On-Demand)방법을 제안하고 이를 위한 계층적 상태 임계값(Hierarchical)에 대해 설명한다. 또한 성능 분석을 위해 자바 RMI 와 이동 에이전트를 위한 분석 모델을 제시하고 AOD를 적용한 분산 시스템 관리 기법과 기존의 방법을 네트워크 부하와 실행 시간 관점에서 비교한다.

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Modeling of Home Network Interface through User Behavior Analysis (사용자 행태 분석을 통한 홈 네트워크 인터페이스 모델링)

  • Seo Yunsuk;Kim Yaejin;Jung Jihong;Kim R. Youngchul
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.490-492
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    • 2005
  • 최근 사용자 행태 분석 개념이 매우 중요한 이슈가 되고 있으며, HCI(Human-Computer Interface)의 관점에서 사용자의 행태와 시스템 모델링은 적절한 모델링 언어나 도구가 부족하여 사용자의 행태를 전부 표현하지 못한다. 소프트웨어공학에서는 시스템을 설계하기 위해 UML(Unified Modeling Language)을 사용하여 시스템을 모델링하고 있다. 물론 UML에 액터 개념은 있으나 시스템 중심의 모델에 초점을 두고 있어, 사용자의 행태 표현에 제약이 존재한다. 이에 본 논문에서는 사용자 행태를 모델링하기위해 OBA(Object Behavior Analysis)방법론을 기반으로 사용자 행태에 초점을 맞춰 시스템을 모델링 하고, 결과로써 HCI관점을 위해 부족한 UML의 문제와 확장성을 언급하고자 한다.

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Data Processing Architecture on the Jeju Taxi Telematics System (제주 택시 텔레매틱스 시스템에서 이동 이력 데이터의 처리 구조)

  • Lee, Jung-Hoon;Hong, Young-Shin;Park, Gyung-Leen
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.879-880
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    • 2008
  • 본 논문은 제주 택시 텔레매틱스 시스템에 축적되고 있는 차량들의 이동이력 데이터에 대한 처리구조를 설계하고 구현한다. 각 차량은 1분마다 자신의 위치와 GPS 정보 및 택시의 상태에 관련된 보고를 발생시키며 중앙의 관제시스템은 이를 수합하여 이력데이터를 구성한다. 본 논문에서 구현하는 시스템은 위치 보고를 처리하여 인코딩 변환, 좌표 변환, 맵 매칭, 도로상에서의 위치 계산 등을 수행한 후 오라클 데이터베이스의 이력 테이블에 저장하도록 한다. 이를 위하여 도로 네트워크가 데이터베이스로 변환되었으며 도로망에의 가시화를 위하여 지도 인터페이스 프로그램이 구현되었다. 이러한 정보들은 이력 테이블과 아울러 공간 데이터베이스 엔진과 결합하여 C 언어나 SQL 문장에 의하여 다양한 위치기반 질의를 가능하게 할 뿐 아니라 배차 정보 분석, 현재 통행 속도 분석 등 부가가치가 높은 정보를 산출하는데 필수적인 역할을 수행한다.

Perception of the Gifted Science Students' Mothers on Giftedness (과학영재를 둔 어머니들의 영재성에 대한 인식)

  • Chung, Duk-Ho;Park, Seon-Ok;Yoo, Hyo-Hyun;Park, Jeong-Ju
    • Journal of Gifted/Talented Education
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    • v.24 no.4
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    • pp.561-576
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    • 2014
  • The purpose of this study is to investigate the perception of the mothers of science gifted in respect to giftedness compared to the "Scale for Rating the Behavioral Characteristics of Superior Students-R(SRBCSS-R)". For that, a survey of 18 mothers of elementary school science gifted and 32 mothers of middle school science gifted was conducted in relation to giftedness. The words and frame of this survey were analyzed using the Semantic Network Analysis. The results are as follows : The mothers of Elementary school science gifted perception were found to have a connected giftedness with reading, science, making something, etc.. On the other hand, the mothers of middle school science gifted perception were found to have a connected giftedness with problem, solving problem, mathematics, etc. in words analysis. The mothers of Elementary school science gifted have a strong connection with category on creativity, motivation, etc.. On the other hand, the mothers of middle school science gifted were more inclined towards the category on learning, motivation, etc. in frame analysis. That is to say, the mothers of science gifted are perceptive about giftedness respect to some elements as the "Scale for Rating the Behavioral Characteristics of Superior Students-R" on the giftedness. Therefore, a correct understanding about giftedness in respect to the mothers of science gifted is required and parent education is needed for appropriate science gifted education.

Constructing Java Vulnerable API List based on Java Access Permission Checking Tree (자바 접근 권한 검사 트리 기반의 자바 취약 API 리스트 생성)

  • Park, Hyo-Seong;Park, Chul-Woo;Lim, Young-Chan;Kim, Ki-Chang
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.5 no.2
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    • pp.289-296
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    • 2015
  • Java is an interpreted language that can run on a variety of platforms, also Java has a number of useful features for network. Due to theses features of Java language, Java is used in various fields. In this paper, we will talk about how the malware that threaten the Java Security Manager of the Java Virtual Machine is using the vulnerability of the Java Virtual Machine. And for corresponding measures, this paper suggest vulnerability analysis method of Java system class by using Java Call Graph and Java Access Permission Checking Tree. By suggesting that, we want to lay groundwork for preventing Java security threats in advance.

A Semantic Analysis on the Research Trend of International Arts Management (언어네트워크분석을 활용한 해외 예술경영 연구동향 연구)

  • Shim, Dahee;Park, Yang Woo
    • Korean Association of Arts Management
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    • no.49
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    • pp.5-35
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    • 2019
  • The main purpose of this study was to use semantic network analysis to examine the international trend of arts management and other studies pertinent to this field. The subject was based on 357 keywords listed on the abstract of 185 research papers in the International Journal of Arts Management. To examine the most current trends of arts management based studies the time frame was restricted from 2008 to 2017. To briefly summarize the result, first, 'museum' was the most frequently appeared keyword. This was followed by 'performing arts' and 'arts' with more than 20 appearances. 'Motion picture industry' and 'theater' were the next frequently appeared keywords. 'Customer behavior' and 'market strategy', keywords related to management, were also included in the high ranked group along with art related keywords. Second, yearly research trend shows that arts management has been regularly studied for past ten years with average of 19 research papers with about 53 keywords. Keywords such as 'museum' and 'performing arts' has been regularly studied for past ten years. 'Culture', 'theater' and 'motion pictures industry' does not regularly appear in the result of yearly research trend but nevertheless they have sparsely made an appearance along the past decade. 'Art gallery' has not been cited till 2011 but from 2012 it was regularly and continuously made an appearance in the yearly research trend. Overall, the yearly trend result shows that the trend of international arts management studies within IJAM, was at first centered on fine arts but as the time passed there has been diversified keywords related to management. Third, 'performing art' and 'art' has the highest link frequency(34). Fourth, density result was 0.039 which shows that the keyword density is not very high. Fifth, 'art', 'performing art', 'museum', 'theater' and 'brand' were positioned in the middle when looking at the visualized version of centrality result. This means that these five keywords has the highest centrality among other keywords.