• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.501-502
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• 2017

사용자의 요구에 맞게 시스템 자원을 할당, 배치, 배포해 두었다가 필요시 시스템을 즉시 사용할 수 있는 상태로 미리 준비해 두는 Provisioning이 이슈가 되고 있다. 비용대비 효과, 컴퓨터 성능향상, 편리성과 효율성, 비즈니스 역량강화의 장점을 추구하는 클라우드 환경에서의 대학정보시스템 구축방향과 일치한다. 또한, 이미 구축한 On-Premise 시스템 기반에서 동일한 소프트웨어, 툴, 에코시스템 애플리케이션을 활용할 수 있도록 소프트웨어 일관성을 보장하며, 이를 통해 비즈니스 민첩성 및 데이터 주도적인 분석 통찰력을 향상시킬 수 있다. 하지만 캠퍼스 클라우드시스템 구현은 네트워크 고도화, 가상화 인프라 고도화, 보안 고도화라는 단계적 전략을 통해서만 완성할 수 있을 것이다.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.1
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• pp.43-55
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• 2009

We consider a Direct Input Output Manufacturing System(DIOMS) which has a number of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the SIR machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this paper, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1666-1672
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• 2016

In recent years, smart technology has been applied to various information system fields. Especially, traditional library service area is changing to Smart-Library from Digital-Library. In this environment are need to library service software platform for supporting variety content, library services, users and smart-devices. Due to this, existing library service has a limitation that inhibits semantic interoperability between different heterogeneous library systems. In this paper, we propose Linked-Open-Data based smart library as an archetype of future-library system that provide a variety content and system interaction and integration of services. It is an innovative system of the cutting-edge information intensive. Therefore, we designed system environments according to various integration requirements for smart library based on Linked-Open-Data. And, we describe the functional requirements of smart-library systems by considering the users' demands and the eco-systems of information technology. In addition, we show the reference framework, which can accommodate the functional requirements and provide smart knowledge service to user through a variety of smart-devices.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.295-296
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• 2011

식품정보 시스템은 농식품 정보를 DB화하여 분류하고, 다양한 식품정보를 효율적으로 관리하여 식품정보 활용에 대한 효과성을 극대화한 시스템이다. 미국, 일본, EU 에서는 정부 주관부처가 식품정보를 포괄적으로 관리하고 있으며, IT기술(데이터베이스, 메타데이터, 웹 기술, 통합검색 기술 등)을 활용하여 대국민, 산업체, 연구기관 등에 올바른 식품정보를 제공하고 있다. 본 논문은 국내 외 식품정보 시스템에서 활용하고 있는 식품정보와 IT기술에 대한 동향을 분석하여 식품정보를 여러 산업분야에서 손쉽게 활용할 수 있는 방안을 제시하고자 하였고, 이를 통해 식품 안정성, 기능성, 품질정보 등 식품정보를 언제, 어디서나 활용하여 식품산업에 대한 에코 시스템을 구축하는 것이다.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.56-66
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• 2022

Due to the recent increase in information encountered on social media, algorithm-based recommendation formats selectively provide information based on user information, which often causes a filter bubble effect by an Echo Chamber. Eco-chamber refers to a phenomenon in which beliefs are amplified or strengthened by communication only in an enclosed system, and filter bubbles refer to a phenomenon in which information providers provide customized information according to users' interests, and users encounter only filtered information. The purpose of this study is to propose a method of efficiently selecting information as a way to improve the filter bubble phenomenon by such an echo chamber. The research progress method analyzed recommended algorithms used on YouTube, Facebook and Amazon. In this study, humanities solutions such as training critical thinking skills of social media users and strengthening objective ethical standards according to self-preservation laws, and technical solutions of model-based cooperative filtering or cross-recommendation methods were presented. As a result, recommended algorithms should continue to supplement technology and develop new techniques, and humanities should make efforts to overcome cognitive dissonance and prevent users from falling into confirmation bias through critical thinking training and political communication education.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.303-311
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• 2014

The accountability of cloud service which provides the cloud users with accountable services applies various technologies such as the compliance of service policy, monitoring and auditing, logging, and others. It ultimately intends to provide trustworthy cloud service by determining who is accountable for various problems happened during data processing and service offering. In this paper, we propose a cloud ecosystem formed from the chain of content and DRM Cloud service in order to offer secure and trust DRM cloud service when providing high value-added content service. Besides this, we analyse the requirements of cloud services for content owners and users and then propose some logging information to be recorded for trace of accountability and a structure of tool for monitoring.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.342-364
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• 2014

The purpose of this paper is to provide an answer for the following question: What are the major shifts and implications of the unprecedently competitive and rapidly changing media ecosystem in the era of N-screen and OTT services? I've attempted to understand the complex and competitive nexus among media from an historical context by focusing on the displacement vs. complement thesis. The TPC model by Han has been employed for the analysis of the current dynamics of US media industries by triangulating three areas: Technology/industry, public policy and consumer/culture. More specifically, the US media landscape is initially divided into two competitive turfs - the competitors equipped with OTT services and the legacy media industry, and then the traditional media industry was grouped again into PayTV group(telecom service providers with IPTV and mobile TV, cable/Satellite TV networks) and Free (over-the-air) TV networks. Six major shifts were identified by the analysis: power shift in telecom carriers, power shifts in TV industry, Telecom/OTT partnership, time shifts, place shifts, and finally business model shifts.