• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.375-380
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• 2022

The purpose of this study is to find out consumers' perception and meaning of convenience store convenience food by using big data. For this study, NNAVER and Daum analyzed news, intellectuals, blogs, cafes, intellectuals(tips), and web documents, and used 'convenience store convenience food' as keywords for data search. The data analysis period was selected as 3 years from January 1, 2019 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted using TEXTOM, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, convenience store convenience foods were clustered into health, diversity, convenience, and economy according to consumers' selection attributes. It is expected to be the basis for the development of a new convenience menu that pursues convenience and convenience based on consumers' meaning of convenience store convenience foods such as appropriate prices, discount coupons, and events.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.25-31
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• 2007

An automatic term-network construction system is proposed in this paper. This system uses the statistical values of the terms appeared in a document corpus. The 186 oral history documents collected from the Saemangeum area of Chollapuk-do, Korea, are used for the research. The term relationships presented in the term-network are decided by the cosine similarities of the term vectors. The number of the terms extracted from the documents is about 1700. The system is able to show the term relationships from the term-network as quickly as like a real-time system. The way of this term-network construction is expected as one of the methods to construct the ontology system and to support the semantic retrieval system in the near future.

• Proceedings of The KACE
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• 2017.08a
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• pp.41-45
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• 2017

본 논문에서는 컨볼루션 신경망 네트워크(CNN:Convolution Neural Network)을 기반으로 단어의 의미와 순서를 고려하는 문서 색인 방법을 이용하여 한글 문서 분류 방법을 제안한다. 먼저 문서를 형태소 분석하여 어절 단위로 분리 한 후, 불용어를 처리 하고, 문서의 단어 의미를 고려하는 문서 표현하고, 문서의 단어 순서까지 고려하여 CNN의 입력으로 사용하였다. 실험결과 CNN 분류기를 기반으로 본 논문에서 제안하는 문서 색인 방법은 TF-IDF를 이용하는 방법보다 4.2%, Word2vec만 단독으로 사용하는 것보다 1.4%의 성능 상승을 이루었다. 이러한 결과를 통해 본 논문에서 제안하는 방법이 문서범주화 데이터 셋에서 문서 분류 성능향상에 영향을 미친다는 것을 확인하였다.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.124-125
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• 2003

바이오인포매틱스 기술이란 정보통신 인프라와 IT기술을 기반으로 분산되어 있는 대용량의 바이오 데이터 및 문헌 정보를 통합적으로 관리, 분석 및 처리하여 각종 바이오 정보 활용 분야(신약개발, 의료진단, 농산물 개량 등)에 효율적으로 응용 서비스하기 위한 IT-BT융합 핵심 기반 요소 기술을 의미한다. 2000. 6. 인간 유전체 초안 완성 후 대량 획득되는 바이오 데이터의 최대 부가가치 창출을 위해 대용량 바이오 데이터로부터 유용한 지식정보를 자동적으로 추출해내기 위한 효율적인 통합분석 기술이 필요하고 이는 바이오인포매틱스 기본 개념이 된다. (중략)

• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.305-324
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• 2004

본 연구는 대덕벨리 벤처기업들의 현황 분석을 목적으로, 벤처 기업들의 CEO들을 대상으로 설문조사를 실시하였다. 이를 토대로 의미미분법을 적용하여 심층 분석해 본 결과, 대덕벨리의 벤처기업들은 대체로 자금조달, 마케팅 전략, 그리고 네트워크에 문제가 있는 것으로 나타났다. 특히, 제한된 자금조달 원천, R＆D에 치중한 기업 전략, 낮은 산학 연간 협력구도가 핵심 현안문제로 제기 되었다.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.286-295
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• 2004

생물학적으로 의미 있는 결과를 도출하기 위해서는 많은 실험 데이터가 필요하다. 최근에는 마이크로 어레이 실험 기술이 발달함에 따라 대량의 데이터를 얻을 수 있게 되었고, 이로 인해서 데이터를 체계적으로 관리하고 필요한 정보를 습득할 수 있는 시스템이 필요하게 되었다. LIMS(Laboratory Information Management System) 는 이러한 요구 조건을 충족시키기 위한 시스템으로 기존의 파일 시스템에 의존해서 비효율적으로 실험 데이터를 관리해 오던 것을 체계적이고 효율적으로 관리해 주기 위한 시스템이다. 대량의 유전자 발현 데이터의 생산은 유전자의 조절 네트워크 예측을 가능하게 하였다. 유전자간의 상호 작용을 분석하는 것은 세포의 활동을 이해하는데 매우 중요한 요소라고 할 수 있다. 본 논문에서는 기존의 LIMS 기능과 유전자 조절 네트워크 분석 시스템을 통합하여 사용자가 쉽게 데이터를 공유 및 습득할 수 있으며 편리한 사용자 인터페이스를 이용하여 컴퓨터에 익숙하지 않은 실험들도 쉽게 사용할 수 있는 GELIM(an Integrated system with GEnetic network analyzer and LIMs) 을 소개한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.783-786
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• 2015

Hole attack, which is disturbed transmission function through change of routing information, can cause critical results for MANET as non-infrastructure network. Backhole attack, as a typical hole attack, is one malicious attack which is disabled network transmission function by assumption of transmission data through modification of routing information. It is very important to evaluate transmission performance caused by blackhole attack, because transmission performance of MANET is affective with blackhole attack. In this paper, transmission performance is analyzed with MANET under multiple blackhole attacks caused multiple blackhole nodes. Computer simulation based on NS-2 is used as analysis tool and voice traffic is considered ad application service on MANET.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.899-914
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• 2003

It is generally accepted that self-similar (or fractal) processes may provide better models for teletraffic in modern telecommunication networks than Poisson Processes. If this is not taken into account, it can lead to inaccurate conclusions about performance of telecommunication networks. Thus, an important requirement for conducting simulation studies of telecommunication networks is the ability to generate long synthetic stochastic self-similar sequences. Three generators of pseudo-random self-similar sequences, based on the FFT〔20〕, RMD〔12〕 and SRA methods〔5, 10〕, are compared and analysed in this paper. Properties of these generators were experimentally studied in the sense of their statistical accuracy and times required to produce sequences of a given (long) length. While all three generators show similar levels of accuracy of the output data (in the sense of relative accuracy of the Horst parameter), the RMD- and SRA-based generators appear to be much faster than the generator based on FFT. Our results also show that a robust method for comparative studies of self-similarity in pseudo-random sequences is needed.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.1-13
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• 2020

In order to understand the recommendation algorithm applied to the online video platform, this study examines the relationship between the content characteristics of K-pop music videos and related videos recommended for playback on YouTube, and analyses which videos are recommended as related videos through network analysis. As a result, the more liked videos, the higher recommendation ranking and most of the videos belonging to the same channel or produced by the same agency were recommended as related videos. As a result of the network analysis of the related video, the network of K-pop music video is strongly formed, and the BTS music video is highly centralized in the network analysis of the related video. These results suggest that the network between K-pops is strong, so when you enter K-pop as a search query and watch videos, you can enjoy K-pop continuously. But when watching other genres of video, K-pop may not be recommended as a related video.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.