• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.201-209
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• 2021

The term, eGovernmen or e-Government, uses technology communications devices such as computers and the Internet to provide public services to citizens and others. The eGovernment or e-government provides citizens with new opportunities to access the government directly and conveniently, while the government provides citizens with directservices. Also, in these days, cloud computing is a feature that enables users to use computer system resources, especially data storage (cloud storage) and on-demand computing power, without having to manage themselves. The term is commonly used to describe data centers that are available to many users over the Internet. Today, the dominant Big Cloud is distributed across multiple central servers. You can designate it as an Edge server if it is relatively close to the user. However, despite the prevalence of e-government and cloud computing, each of these concepts has evolved. Research attempts to combine these two concepts were not being made properly. For this reason, in this work, we aim to produce independent and objective analysis results by separating progress steps for the analysis of e-government cloud service platforms. This work will be done through an analysis of the development process and architectural composition of the e-government development standard framework and the cloud platform PaaS-TA. In addition, this study is expected to derive implications from an analysis perspective on the direction and service composition of the e-government cloud service platform currently being pursued.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2004년도 하계학술대회
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• pp.132-136
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• 2004

본 논문은 SDP(Software Define Platform)와 연동하여 홈 네트워킹에 필요한 정보를 저장하고 검색하는 홈 네트워크 저장장치인 능동형 미디어 스토리지 플랫폼 연구에 관해 기술한다. 능동형 미디어 스토리지 플랫폼은 단순한 데이터 저장 뿐만 아니라 SDP가 요구하는 정보를 어플리케이션에 따라 다르게 처리할 수 있다. 또한 멀티미디어 스트림을 로컬 네트워크상에 최적화하여 어플리케이션에 제공한다.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.238-242
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• 2021

Through diversification of 4th industries and transportation and globalization, tourism was developed for medical purposes, not limited to touring tourist attractions. The trend of medical tourism in Korea is shifting from large and medium-sized hospitals to professional medical services in one area of small hospitals rather than professional medical services. However, small hospitals lack medical coordinators and interpretation services, and tourists who visit Korea for treatment lack information on small hospitals. Therefore, a platform is needed to match small hospitals with medical tourists. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations. Tourists also want to propose a customized platform to select the right area for them to check information about small-scale hospitals and choose the treatment and tourist attractions they wants. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations.

• 인터넷정보학회논문지
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• 제9권6호
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• pp.1-13
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• 2008

신뢰 컴퓨팅(Trusted Computing)은 하드웨어를 통해 컴퓨터 사용자가 제어할 수 있는 범위 이상에서 보안성을 제공하고, 컴퓨팅 장치에 대한 신뢰를 보장하는 기술을 말한다. 신뢰 컴퓨팅에서 규정한 TPM(Trusted Platform Module)이라는 전용 보안칩은 신뢰성 있는 데이터 저장 및 신뢰성 있는 플랫폼 상태 보고를 가능하게 하는 핵심 장치이다. 데이터 실링은 데이터를 암호화할 때 특정한 플랫폼의 상태와 연관시켜 기존의 암호화를 통한 기밀성 보호를 한층 더 강화한 강력한 보안 기법이다. 데이터 실링에는 이진 해쉬 값 기반의 플랫폼 구성 상태를 직접 활용하는 방식과 플랫폼의 제공 성질(property)을 실링에 활용하는 방식이 있다. 본 논문에서는 Dijkstra가 제안한 최소 전제조건 개념을 이용한 새로운 성질 기반의 데이터 실링 및 해제 프로토콜을 제안한다. 제안하는 프로토콜은 실링 할 때와 동일한 성질에서 실링 해제를 가능하게 하여 정상적 시스템 업데이트 시 실링 해제가 가능하도록 한다. 그러면서 기존 성질 기반 실링 방식의 문제점인 제3자 신뢰 기관의 비현실성 및 플랫폼의 프라이버시 노출 문제를 해결하였다. 본 논문은 제안 프로토콜의 보안성을 분석적으로 제시하였으며, Strasser가 개발한 소프트웨어 TPM 에뮬레이터 환경에서 프로토콜을 구현하여 그 동작성을 실험적으로 입증하였다. 제안 기법은 데스크탑 PC는 물론 무선 이동 네트워크 상의 PDA나 스마트 폰 플랫폼에도 적용 가능하다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 가을 학술발표논문집 Vol.30 No.2 (2)
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• pp.253-255
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• 2003

We address an integrated multimedia framework based on a software agent platform for context-aware multimedia computing. We adopt the FIPA (Foundation for Intelligent Physical Agents) platform which provides agent communications and management mechanisms. In order to express context information, we use MPEG-21 metadata for describing user characteristics and usage environment. We encapsulate such context information as a FIPA message to be delivered between agents. Based on context information, appropriate multimedia content delivery becomes possible. We present our system implementation with a use case scenario and show that our proposed framework is effective for context-aware multimedia computing so that personalization of multimedia consumption can be possible.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2772-2786
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• 2022

We had researched an automatic authentication-supported medical information platform[6]. The proposed automatic authentication consists of user authentication and mobile terminal authentication, and the authentications are performed simultaneously in patients' emergency conditions. In this paper, we studied on finding emergency conditions for the automatic authentication by applying big data processing and AI mechanism on the extended medical information platform with an added edge computing system. We used big data processing, SVM, and 1-Dimension CNN of AI mechanism to find emergency conditions as authentication means considering patients' underlying diseases such as hypertension, diabetes mellitus, and arrhythmia. To quickly determine a patient's emergency conditions, we placed edge computing at the end of the platform. The medical information server derives patients' emergency conditions decision values using big data processing and AI mechanism and transmits the values to an edge node. If the edge node determines the patient emergency conditions, the edge node notifies the emergency conditions to the medical information server. The medical server transmits an emergency message to the patient's charge medical staff. The medical staff performs the automatic authentication using a mobile terminal. After the automatic authentication is completed, the medical staff can access the patient's upper medical information that was not seen in the normal condition.

• 한국주조공학회지
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• 제31권4호
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• pp.218-223
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• 2011

Computer Aided Engineering (CAE) is very helpful field for every manufacturing industry including foundry. It covers CAD, CAM, and simulation technology also, and becomes as common sense in developing new products and processes. In South Korea, more than 600 foundries exist, and their average employee number is less than 40. Moreover, average age of them becomes higher. To break out these situations of foundry, software tools can be effective, and many commercial software tools had already been introduced. But their high costs and risks of investment act as difficulties in introducing the software tools to SMEs (Small and Medium size Enterprise). So we had developed cloud computing platform to propagate the CAE technologies to foundries. It includes HPC (High Performance Computing), platforms and software. So that users can try, enjoy, and utilize CAE software at cyber space without any investment. In addition, we also developed platform APIs (Application Programming Interface) to import not only our own CAE codes but also 3rd-party's packages to our cloud-computing platforms. As a result, CAE developers can upload their products on cloud platforms and distribute them through internet.

• Journal of Platform Technology
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• 제9권2호
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• pp.10-25
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• 2021

정보보안에 있어서 온-프레미스의 환경에서 위험분석평가에 대한 많은 연구가 진행되었지만, 클라우드컴퓨팅 시스템에 대한 위험분석평가의 효과적인 방법론에 대한 연구는 많이 부족한 실정이다. 2015년 클라우드컴퓨팅 발전법이 제정되어 클라우드컴퓨팅 도입 촉진 계기가 되었다, 그러나 클라우드컴퓨팅 시스템의 보안사고 증가 등의 이유로 활성화가 미진한 상황이다. 또한, 클라우드컴퓨팅 시스템을 도입하려는 관련 담당자의 클라우드컴퓨팅 시스템 기술 이해의 어려움 때문에 적극적으로 도입이 이루어지고 있지 않은 상황이다. 이에 관하여 이 연구는 클라우드컴퓨팅 시스템이 가진 특성과 개념, 그리고 모델을 살펴보고 이러한 특성이 위험분석평가에 어떻게 영향을 미치는지를 분석하여 효과적인 위험분석평가 방법을 제시하였다.

• 인터넷정보학회논문지
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• 제25권2호
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• pp.113-122
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• 2024

최근 다양한 분야에서 인공지능(AI), 블록체인(Blockchain), 엣지 컴퓨팅(Edge Computing), 사물인터넷(IoT) 등 첨단 ICT 기술을 적용하여 신규 서비스 창출 및 새로운 디지털 시대를 만들어가고 있다. 이러한 기술 발전과 더불어 우리나라도 "스마트시티"에서 "플랫폼 도시"로 거듭나기 위해 다양한 정책들이 시행되고 있다. 도시 단위의 스마트시티 통합플랫폼과 주거 단위의 스마트하우징 플랫폼과 연계를 통해 새로운 서비스와 가치를 창출할 수 있을 것이다. 본 논문에서는 스마트하우징 플랫폼과 스마트도시 안전망 중 하나인 스마트 119 긴급출동 지원 서비스와의 연계 시나리오를 정의하고, 스마트 119 긴급출동 지원서비스를 제공하기 위한 스마트하우징 플랫폼과 스마트시티 통합플랫폼 간 데이터 전송 규약 및 데이터 교환을 위한 메타데이터 스키마를 제안한다.

• Structural Monitoring and Maintenance
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• 제7권4호
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• pp.345-365
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• 2020

At present, many machine leaning and data mining methods are used for analyzing and predicting structural response characteristics. However, the platform that combines big data analysis methods with online and offline analysis modules has not been used in actual projects. This work is dedicated to developing a multifunctional Hadoop-Spark big data platform for bridges to monitor and evaluate the serviceability based on structural health monitoring system. It realizes rapid processing, analysis and storage of collected health monitoring data. The platform contains offline computing and online analysis modules, using Hadoop-Spark environment. Hadoop provides the overall framework and storage subsystem for big data platform, while Spark is used for online computing. Finally, the big data Hadoop-Spark platform computational performance is verified through several actual analysis tasks. Experiments show the Hadoop-Spark big data platform has good fault tolerance, scalability and online analysis performance. It can meet the daily analysis requirements of 5s/time for one bridge and 40s/time for 100 bridges.