• 한국초등과학교육학회지:초등과학교육
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• 제33권4호
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• pp.674-682
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• 2014

This study aims to analyze STEAM-related articles and to look into the trend of research to present implications for research directions in the future. To achieve the research purpose, the researcher searched by key words, 'STEAM' and 'Convergence Education' through the RISS. Subjects of analysis were titles of 181 articles in journal articles and conference papers published from 2011 through 2013. Through an analysis of the frequency of the texts that appeared in the titles of the papers, key words were selected, the co-occurrence matrix of the key words was established, and using network maps, degree centrality and betweenness centrality, and structural equivalence, a network text analysis was carried out. For the analysis, KrKwic, KrTitle, UCINET and NetMiner Program were used, and the results were as follows: in the result of the text frequency analysis, the key words appeared in order of 'program', 'development', 'base' and 'application'. Through the network among the texts, a network built up with core hubs such as 'program', 'development', 'elementary' and 'application' was found, and in the degree centrality analysis, 'program', 'elementary', 'development' and 'science' comprised key issues at a relatively high value, which constituted the pivot of the network. As a result of the structural equivalence analysis, regarding the types of their respective relations, it was analyzed that there was a similarity in four clusters such as the development of a program (1), analysis of effects (2) and the establishment of a theoretical base (1).

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.211-214
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• 2003

In this paper, we intend to find user's TV program choosing pattern and, recommend programs that he/she wants. So we suggest item dependency map which express relation between chosen program. Using an algorithm that we suggest, we can recommend an program, which a user has not saw yet but maybe is likely to interested in. Item dependency map is used as patterns for association in hopfield network so we can extract users global program choosing pattern only using users partial information. Hopfield network can extract global information from sub-information. Our algorithm can predict user's inclination and recommend an user necessary information.

• 한국정보통신학회논문지
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• 제18권11호
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• pp.2771-2778
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• 2014

본 논문은 Delay Tolerant Network(DTN)에서 예측기반 라우팅을 사용할 때 효율적인 중계 노드를 선택할 수 있도록 노드 속성을 분석하는 알고리즘을 제안한다. 기존 예측기반 DTN 라우팅 알고리즘은 노드의 정보를 분석하여 목적 노드로 접근하는 노드를 예측하여 중계 노드로 선택하는데, DTN의 특성상 전체적인 네트워크의 상황을 파악하기 힘들어 불규칙하게 변화하는 네트워크에서는 지연시간이 증가하고 전송률이 감소하는 단점이 있었다. 이를 해결하기 위해 제안하는 알고리즘은 노드의 속도, 방향, 위치 등의 속성 정보와 네트워크의 환경에 적응적으로 변화하는 가중치를 사용해 불분명한 네트워크 환경에서 더 효율적인 노드를 선택할 수 있도록 한다. 본 논문은 모의실험을 통해 제안하는 알고리즘을 사용한 라우팅 프로토콜이 기존 라우팅 프로토콜에 비해 전송률, 지연시간, 오버헤드 측면에서 향상됨을 검증한다.

• 한국정보과학회논문지:정보통신
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• 제29권5호
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• pp.510-523
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• 2002

The routers in an active network perform customized computations on the messages flowing through them, while the role of routers in the traditional packet network, such as the Internet, is to passively forward packets as fast as possible. In contrast to the Internet, the processing in active networks can be customized on a per user or per application basis. Active networks allow users to inject information into the network, where the information describes or controls a program to be executed for the users by the routers as well as the end hosts. So the network users can realize the active networks by "programming" the network behavior via the programming interface exposed to them. In this paper, we devise a network protocol model and present a verification technique for reasoning about the correctness of an active application defined using the model. The technique is developed in a platform- and language-independent way, and it is algorithmic and can be automated by computer program. We give an example dealing with network auction to illustrate the use of the model and the verification technique.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.222-230
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• 2023

The purpose of this study is to provide basic data on sports entertainment programs by collecting data on unstructured data generated by Naver and Google for SBS entertainment program 'Women Who Score Goal', which began regular broadcast in June 2021, and analyzing public perceptions through data mining, semantic matrix, and CONCOR analysis. Data collection was conducted using Textom, and 27,911 cases of data accumulated for 16 months from June 16, 2021 to October 15, 2022. For the collected data, 80 key keywords related to 'Kick a Goal' were derived through simple frequency and TF-IDF analysis through data mining. Semantic network analysis was conducted to analyze the relationship between the top 80 keywords analyzed through this process. The centrality was derived through the UCINET 6.0 program using NetDraw of UCINET 6.0, understanding the characteristics of the network, and visualizing the connection relationship between keywords to express it clearly. CONCOR analysis was conducted to derive a cluster of words with similar characteristics based on the semantic network. As a result of the analysis, it was analyzed as a 'program' cluster related to the broadcast content of 'Kick a Goal' and a 'Soccer' cluster, a sports event of 'Kick a Goal'. In addition to the scenes about the game of the cast, it was analyzed as an 'Everyday Life' cluster about training and daily life, and a cluster about 'Broadcast Manipulation' that disappointed viewers with manipulation of the game content.

• 한국통신학회논문지
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• 제39C권2호
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• pp.191-198
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• 2014

NMEA(National Marine Electronic Association) 2000은 선박에서 사용되는 다양한 데이터(위치정보, 엔진 상태 등)들을 다른 전자장비에 통신하기 위한 규격으로, 이 선박 네트워크를 기반으로 한 범용 게이트웨이를 구현하였다. 이를 위해 NMEA 2000 Stack(ssJ1939) source와 CAN device driver source를 다양한 통신프로토콜을 사용할 수 있는 보드에 포팅하고 CAN, RS232, USB, Ethernet port를 갖추고 있는 이 보드에 연결하였다. 개발한 게이트웨이에서 변환된 선박 데이터의 검증을 위해, PC 기반의 시뮬레이터 프로그램과 모니터링 프로그램을 이 보드에 연결하여 NMEA 2000 network를 통해 선박의 데이터를 볼 수 있게끔 구성하였다. PC의 시뮬레이터 프로그램에서 생성된 선박 데이터정보를 게이트웨이와 NMEA 2000 network를 통해 모니터링 프로그램에서 분석하고 게이트웨이의 성능을 검증하였다. 기존의 게이트웨이가 주로 단일의 특정한 통신 프로토콜을 지원하는 것에 대비하여 Wi-Fi, Ethernet, Bluetooth, USB, RS232 등 다양한 통신 프로토콜을 지원함으로써 사용자가 원하는 통신방식을 이용하여 원격에서 데이터를 모니터링 하도록 설계하고 구현하였다.

• 한국지리정보학회지
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• 제4권4호
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• pp.21-28
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• 2001

본 연구에서는 기존에 개발된 상수도 관련 GIS(geographic information system)에서 관로해석을 위한 자료를 자동으로 입력할 수 있고, 사용자를 위한 GUI(geographic user interface)를 제공하는 GNLP(GIS linked non-linear pipe network analysis program)프로그램을 개발하였다. 관로시스템의 수리해석은 Hazen-Williams의 손실수두방정식을 기초로 한 비선형 해석기법을 이용하여 시행하였으며, 데이터베이스 응용 프로그램을 작성하기 위해서 관계형 데이터베이스 관리시스템(RDBMS ; relational database management system)인 Microsoft사의 Microsoft Access를 사용하였다. 이 GNLP 프로그램은 실제 관망설계자가 관로시스템의 수리해석에 필요한 자료의 입력을 용이하게 할 수 있도록 시스템환경을 개선하였다. 그리고 압력 및 유량 등 관로시스템의 수리적 해석 결과를 표 및 챠트 형태로 출력이 가능하고, Excel 파일로 변환이 가능하다. 또한 GIS의 중요 요소인 질의(query) 기능이나 분석된 자료를 확인하고자 할 때 이를 효과적으로 디스플레이가 가능하도록 개발되었다.

• 인터넷정보학회논문지
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• 제4권2호
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• pp.69-80
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• 2003

프로그램 행위 침입 탐지 기법은 데몬 프로그램이나 루트 권한으로 실행되는 프로그램이 발생시키는 시스템 호출들을 분석하고 프로파일을 구축하여 변형된 공격을 효과적으로 탐지한다. 본 논문에서는 베이지안 네트워크와 다중 서열 정렬을 이용하여 여러 프로세스의 시스템 호출간의 관계를 표현하고, 프로그램 행위를 모델링하여 변형된 이상 침입 행위를 분류함으로써 이상행위를 탐지한다. 제안한 기법을 UNM 데이터를 이용한 시뮬레이션을 수행하였다.

• 대한임베디드공학회논문지
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• 제7권1호
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• pp.41-52
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• 2012

Recently, FlexRay was developed to replace controller area network (CAN) protocol in chassis networking systems, to remedy the shortage of transmission capacity and unsatisfactory real-time transmission delay of conventional CAN. FlexRay network systems require correct synchronization and complex scheduling parameters. However, because platform configuration register (PCR) setting and message scheduling is complex and bothersome task, FlexRay is more difficult to implement in applications than CAN protocol. To assist a network designer for implementing FlexRay cluster, this paper presents an analysis of FlexRay platform configuration register and automatic generation program of PCR. To demonstrate the feasibility of the automatic generation program, we evaluated its performance using experimental testbed.

• 터널과지하공간
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• 제6권1호
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• pp.30-38
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• 1996

A two dimensional analysis program for groundwater flow in fractured network was developed to analyze the influence of discontinuity characteristics on groundwater flow. This program involves the generation of discontinuities and also connectivity analysis. The discontinuities were generated by the probabilistic density function(P.D.F.) reflecting the characteristics of discontinuities. And the fracture network model was completed through the connectivity analysis. This program also involves the analysis of groundwater flow through the discontinuity network. The result of numerical experiment shows that the equivalent hydraulic conductivity increased and became closer to isotropic as the density and trace length increased. And hydraulic head decreased along the fracture zone because of much water-flow. The grouting increased the groundwater head around cavern. An analysis of groundwater flow through discontinuity network was performed around underground oil storage cavern which is now under construction. The probabilistic density functions(P.D.F) were obtained from the investigation of the discontinuity trace map. When the anisotropic hydraulic conductivity is used, the flow rate into the cavern was below the acceptable value to maintain the hydraulic containment. But when the isotropic hydraulic conductivity is used, the flow rate was above the acceptable value.