• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.84-90
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• 2019

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. BI is the collection of systems and products that have been implemented in various business practices, but not the information derived from the systems and products. On the other hand, big data has come to mean various things to different people. When comparing big data vs business intelligence, some people use the term big data when referring to the size of data, while others use the term in reference to specific approaches to analytics. As the volume of data grows, businesses will also ask more questions to better understand the data analytics process. As a result, the analysis team will have to keep up with the rising demands on the infrastructure that supports analytics applications brought by these additional requirements. It's also a good way to ascertain if we have built a valuable analysis system. Thus, Business Intelligence and Big Data technology can be adapted to the business' changing requirements, if they prove to be highly valuable to business environment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.1
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• pp.8-15
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• 2012

In this paper, we propose a new monitor for collecting job information from Hadoop clusters in real time. This monitor is made of two programs called Collector and Agent. Agent collects Hadoop cluster's node information and job information, and Collector analyzes the collected information and saves it in a database. Also, Collector was placed in a new node outside the Hadoop cluster so that it does not affect Hadoop's work and will not cause overload. When the proposed monitor was implemented and applied, the testbed cluster was able to detect the occurrence of dead nodes immediately. In addition, we were able to find Hadoop jobs which were inefficient and when we modified such jobs to further enhance the performance of Hadoop.

• Journal of Digital Contents Society
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• v.14 no.3
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• pp.313-321
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• 2013

In recent, proliferation of mobile smart devices have led to big-data era, the importance of location-based services is increasing due to the exponential growth of trajectory related data. In order to process trajectory data, parallel processing platforms such as cloud computing and MapReduce are necessary. Currently, the researches based on MapReduce are on progress, but due to the MapReduce's properties in using batch processing and simple key-value structure, applying MapReduce framework for real time LBS is difficult. Therefore, in this research we propose a suitable system design on efficient indexing and search techniques for real time service based on detailed analysis on the properties of MapReduce.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.189-193
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• 2014

SNS (Social Network Service) has evolved to life-friendly service with the combination of local services. Unlike exsiting mobile services, life-friendly service is expected to be personalized with gathering of local information, location information and social network service information. In the process of gathering various kinds of information, Big-data technology and Cloud technology is needed. The effective algorithem has researched for this already, however the privacy protection model hasn't researched enough in life-friendly service or big-data using circumstance. In this paper, the privacy issue is dealt with in terms of 'Structure hole', and the privacy issue comes from big-data technology of life-friendly service.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.9-10
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• 2014

구조물 계측 및 유지관리에 포함되는 계측센서, 계측장비, 전산장비, 통신장비, 소프트웨어 등은 구조물 수명에 비해 비교적 짧은 내구수명을 가지기 때문에 공용 기간 중 지속적으로 교체/변경이 요구되고 있으며, 소프트웨어 또한 분석기술의 향상과 정보통신기술의 발전 등을 계속해서 반영해야 하므로 일정기간마다 모니터링시스템에 대한 업그레이드 작업이 요구되고 있다. 그러나, 기존에 개발된 시스템은 구조물 관리자에 의한 일부 하드웨어와 분석 알고리즘의 변경이나 업그레이드가 쉽지 않고 모니터링 시스템의 구축에 활용된 프로그램 내부구조 파악이 어려워 원 개발자의 지속적인 지원에 의존해야한다. 본 논문에서 제안된 모바일 클라우드 기반 구조물 유지관리계측 통합모니터링시스템에서는 구조계가 평상시나 특수한 상황에서 장 단기적으로 어떠한 거동을 보이고 있는지를 분석하고, 이를 토대로 향후의 거동이 어떻게 될지 예측하기 위해서 확률과 통계기법의 적용을 통해서 구할 수 있는 새로운 데이터 분석 기법을 적용하였으며, 모바일 클라우드 기반으로 데이터를 수집하고, 많은 데이터 양 및 데이터 신뢰도 수준에서 건전성평가를 할 수 있는 새로운 개념의 구조물 거동계측 통합모니터링시스템 설계로 기존의 단점을 해결할 수 있도록 개선하였다.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.313-325
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• 2014

This study seeks to establish a ubiquitous wardrobe with a clothing management function through detailed and subdivided integration research. To create a database, a survey was conducted, and the output data were analyzed and used as the basic data. In particular, this study researched clothing management programs and companies' standards of clothing product classification systems. First, through an in-depth analysis centering on specialists, we established the contents of a ubiquitous wardrobe and used the concept of cloud computing to support the wardrobe contents and smart phone applications. Second, this research found significant differences between individuals, schools, and enterprises in their applications of, and the importance they attach to, design images. A detailed database composed of various categories was established to present the ubiquitous wardrobe contents with efficient functions. Third, we facilitated the search process by designating clothes with QR codes, which is one of the functions of contents. Fourth, the code numbers generated in the process of entering clothes into the database were utilized as RFID information as a way to arrange the products in a simpler manner. The ubiquitous wardrobe was constructed as a web-style hybrid, and its contents areavailable through mobile applications and QR codes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.181-182
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• 2014

본 논문에서는 현시대의 핵심이슈인 신속성과 유용성에 맞춘 갤러리 카테고라이징 어플리케이션(이하 앱)을 제안한다. 해당 앱은 기존에 모바일 기기에 내재된 갤러리 시스템의 여러 가지 단점들을 파악하여 사용자에게 방대한 양의 사진 파일들을 보다 효율적으로 관리할 수 있는 환경을 제공한다. 또한 외부의 서버를 개인 메모리 공간처럼 사용하는 일종의 클라우드 컴퓨팅 기술을 사용하여 모바일 사진 파일을 동기화한다. 이를 통해 비디오, 음악 등 모바일에서 다루는 고용량의 파일들과 수많은 응용프로그램으로부터 요구되는 메모리 공간으로 인한 모바일 기기의 용량 부족 현상을 완화하고, 모바일 기기의 한정적인 메모리 공간을 보완한다. 시뮬레이션을 통하여 제안하는 갤러리 카테고라이징 기법이 기존의 사용하는 갤러리 시스템에 비해 사진 탐색시간의 효율 면에서 우수함을 확인하였다.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.357-363
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• 2017

The Linux operating system, considered to be a subset of the UNIX operating system, is becoming the backbone of the enterprise server market and is seen as the key to building cloud computing and big data infrastructures. Linux has a variety of Linux distributions due to the fact that the source is open and anyone can freely modify and distribute it. First of all, Linux dominated the server market, the emergence of various distributions dominates the desktop and mobile operating system markets. In this paper, we examine the birth and history of Linux and classify and characterize various Linux distributions. The emergence of various Linux distributions will play a pivotal role in the Internet of Things and will further expand their power.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1076-1079
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• 2012

스마트폰의 사용이 생활에 필수적인 요소가 되었다. 스마트폰 특징의 가장 핵심적인 부분이 다양한 콘텐츠를 사용자의 취향에 맞게 선택 할 수 있다는 점이기에 스마트폰의 콘텐츠 시장 또한 빠르게 커지고 있다. 오픈 마켓인 안드로이드의 특성 상 누구나 어플리케이션을 만들어 원하는 곳에 배포할 수 있고 어플리케이션을 다운받을 수 있는 소스도 한정되어 있지 않기 때문에 스마트폰 보안을 위협하는 악의적인 어플리케이션에 노출되기 쉽다. 개인적인 정보가 저장되어 있는 핸드폰의 특징 상 악성코드에 노출 될 경우 전화번호부 유출로 인한 인한 스팸이나 피싱에서 크게는 금융정보 유출까지, 입을 수 있는 피해가 크다. 이를 방지하기 위해 클라우드 컴퓨팅을 이용해 단계적으로 악의적인 어플리케이션을 걸러 내고 클라우드 서버에 어플리케이션 실행 환경을 제공함으로써 사용자의 기기를 안전하게 보호 할 수 있는 시스템을 제안한다.