• Title, Summary, Keyword: 빅데이타

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De-identification Techniques for Big Data and Issues (빅데이타 비식별화 기술과 이슈)

  • Woo, SungHee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.750-753
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    • 2017
  • Recently, the processing and utilization of big data, which is generated by the spread of smartphone, SNS, and the internet of things, is emerging as a new growth engine of ICT field. However, in order to utilize such big data, De-identification of personal information should be done. De-identification removes identifying information from a data set so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing information, thus it attempts to balance the contradictory goals of using and sharing personal information while protecting privacy. De-identified information has also been re-identified and has been controversial for the protection of personal information, but the number of instances where personal information such as big data is de-identified and processed is increasing. In addition, many de-identification guidelines have been introduced and a method for de-identification of personal information has been proposed. Therefore, in this study, we describe the big data de-identification process and follow-up management, and then compare and analyze de-identification methods. Finally we provide personal information protection issues and solutions.

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Measurement and Therapy of Abnormalities in Joint Flexion of the Thumb (엄지손가락의 관절 굽힘의 이상 측정 및 치료)

  • Rhee, Yang-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1355-1360
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    • 2018
  • The healthcare industry is expected to the range of services will be expanded and management will be done throughout the life cycle by combining Big Data, Information and Communications Technologies (ICT), and IT equipment. This paper describes a metacarpophalangeal joint flexion and interphalangeal joint flexion of the thumb as one area of healthcare. Metacarpophalangeal joint flexion refers to bending the thumb metacarpophalangeal joint, and interphalangeal joint flexion refers to bending the thumb interphalangeal joint. When bending the joints, if the angle is below a certain angle, or if you feel pain, you have an abnormality. In addition, prevention and therapy of the thumb joint were also suggested. Experiments were performed on metacarpophalangeal joint flexion and interphalangeal joint flexion in the thumb joint in the case of 50 people in their 50s. The system is limited to a portion of the body, but if it is partially expanded, it will be the basis for building a Big Data healthcare system.

Complementary research and Analysis for hadoop (하둡 모델의 분석 및 보완 연구)

  • Lee, Jin-Woo;Kim, Su-Kyoung
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.3-6
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    • 2012
  • 소셜 네트워크와 웹 2.0의 등장은 거대한 데이터 홍수를 초래하였다. 이 와 관련된 다양한 기술들이 연구 개발되고 있으며 특히 동시에 요구되는 data를 처리하기위한 여러 기술이 등장하였다. 본 연구에서는 다양한 BigData 분산처리 기술들중에 가장 각광 받고 있는 Hadoop이라는 기술을 연구 분석할 것이다. 국내에 아직 많은 사용자가 없어 그 존재감이 많이 없다가 요즘 들어 상승하고 있는 추세이며 이러한 Hadoop의 흐름속에 data의 분산과 병렬처리에서 발생되는 문제점을 분석하고 이를 해결할수 있는 모델을 제시하여 새로운 모델의 하둡으로 기본적인 핵심기술인 federation을 쉽게 할 수 있고 향후 이 구조의 기능과 상세모델을 연구하고 구현하여 제안된 연구 구조의 우수성을 입증하고자 한다.

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오픈소스 사물인터넷(OSIoT) 동향 및 전망

  • Jeon, Jong-Hong;Cha, Hong-Gi;Lee, Won-Seok;Kim, Hyeong-Jun
    • Information and Communications Magazine
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    • v.32 no.5
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    • pp.23-30
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    • 2015
  • 인터넷 빅뱅은 세상의 모든 컴퓨터들을 연결하는 단계를 넘어 이제는 모든 사물들을 연결하는 사물인터넷(Internet of Things) 수준으로까지 확대되고 있다. 2020년이면 500억개 이상의 사물과 기기들이 연결되고, 이러한 사물들의 다양한 정보를 연동하고 제어함으로써 새로운 IT 시대가 열릴 것으로 전망되고 있다. 이러한 사물인터넷 확산에는 인터넷 기술뿐 아니라 고성능 디바이스 기술의 발달과 초고속 유무선 통신 기술, 클라우드/빅데이타와 같은 데이터 기술, 그리고 오픈소스와 같은 사용자 참여형 개방 기술의 발전도 중요한 밑거름이 되고 있다. 이에 본 고에서는"오픈소스 사물인터넷(OSIoT:Open Source Internet of Things)"동향과 전망을 살피고 거시적 관점에서의 사용자 참여와 개방 기술 중심의 사물인터넷의 발전 방향을 함께 살피고자 하였다.

선박의 안전항해를 위한 빅데이터 활용 방안에 관한 연구

  • Choi, Hyun-Suk;Seong, Yu-Chang;Choe, Gwang-Seok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • pp.116-118
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    • 2015
  • 최근 효율적인 해상교통 환경구축과 해양안전을 확보하기 위해 ICT가 융합된 기술에 많은 연구가 이루어 지고 있다. 특히 빅데이터 기술은 해상관제, 해양환경 모니터링, 항로표지 관리, 해상운송 등 다양하게 접목하여 활용이 가능하다. 본 연구에서는 선박운항의 안전확보를 위하여 빅데이터 기술의 전반적인 활용 방안을 검토하였다. 아울러 일반적인 빅데이타의 활용에 대하여도 소개하고자 한다.

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A Study On the Industrial Clusters In a Region Using Big data (빅데이타 분석을 이용한 지역내 산업클러스터 연구)

  • Jung, Jaeheon
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.543-554
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    • 2017
  • We tried to get useful information from social network analysis on the transaction network for the companies in Busan, Ulsan, Kyong-nam region using more than 80 thousand company transaction data obtained from Korean enterprise data (KED). We found that there are 282 clusters having more than 3 companies when we made clusters composed of the companies having the transactions with each other as the first transaction partners in the region. Most of clusters have a major big company with most of sales in the clusters and have the member companies without the transaction with other cluster's member companies so that they have closed and hierarchical transaction pattern. Analysing the transaction network using the network index, we know that there are small medium size companies playing the central role in the regional transaction network and a few clusters have many transactions with other clusters. Also we found that there are very rare sale transactions to the companies outside the region and many purchasing transactions from the companies outside the region. Policy makers need to try to diversify the transaction patterns and to use the exceptional companies and clusters as the levers.

De-identification of Medical Information and Issues (의료정보 비식별화와 해결과제)

  • Woo, SungHee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.552-555
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    • 2017
  • It is de-identification that emerged to find the trade-off between the use of big data and the protection of personal information. In particular, in the field of medical that deals with various semi-identifier information and sensitive information, de-identification must be performed in order to use medical consultation such as EMR and voice, KakaoTalk, and SNS. However, there is no separate law for medical information protection and legislation for de-identification. Therefore, in this study, we present the current status of de-identification of personal information, the status and case of de-identification of medical information, and finally we provide issues and solutions for medial information protection and de-identification.

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