• 한국정보통신학회논문지
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• 제24권8호
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• pp.1102-1108
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• 2020

이동 엣지 컴퓨팅은 중앙 집중식 데이터 처리가 아닌 데이터가 생성되는 네트워크의 에지와 가까운 곳에서 데이터를 처리하는 방식으로 클라우드 컴퓨팅의 단점을 보완하여 새로운 전기를 마련할 수 있는 기술이다. 데이터를 처리하고 연산하는 곳을 따로 먼 데이터 센터에 두는 것이 아닌, 이동 단말 장치들과 가까운 엣지에 컴퓨팅 능력을 부가하고 데이터 분석까지 가능하게 하여 저지연/초고속 컴퓨팅 서비스의 실현이 가능하게 하였다. 본 논문에서는 EdgeCloudSim 시뮬레이터를 이용해 클라우드와 엣지 노드가 협업하여 이동 단말의 컴퓨팅 작업 처리를 분업화 하는 가상의 이동 엣지 컴퓨팅 테스트베드 환경을 개발한다. 개발된 가상 이동 엣지 컴퓨팅 테스트베드 환경은 중앙 클라우드와 엣지 컴퓨팅 노드들 사이에서 이동 단말들의 컴퓨팅 작업 분배를 위한 오프로딩 기법들의 성능을 평가하고 분석한다. 가상 이동 엣지 컴퓨팅 테스트베드 환경 및 오프로딩 성능 평가를 제시함으로써 클라우드와 협업하는 이동 엣지 컴퓨팅 노드 구축을 준비하는 산업계 엔지니어들에게 하나의 사전 지식을 제공하고자 한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.193-196
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• 1997

A mobile computing environment has many difference in character from conventional communication over wired network. These include very presents distributed design system based the mobile agent for mobile computing environment. To integrate design resource, we presented ISA(Integration Service Agent, which allows a designer to build integrated application using distributed resources, and to collaborative by exchanging service. Also we propose ICM(XML based Intelligent Connection Manger) using mobile agent. And suggested new intelligent data and process transfer architecture using ICM to implement an agent based design system in mobile environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.450-470
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• 2023

Traditional cloud computing faces some challenges such as huge energy consumption, network delay and single point of failure. Edge computing is a typical distributed processing platform which includes multiple edge servers closer to the users, thus is more robust and can provide real-time computing services. Although outsourcing data to edge servers can bring great convenience, it also brings serious security threats. In order to provide image retrieval while ensuring users' data privacy, a privacy preserving image retrieval scheme in edge environment is proposed. Considering the distributed characteristics of edge computing environment and the requirement for lightweight computing, we present a privacy-preserving image retrieval scheme in edge computing environment, which two or more "honest but curious" servers retrieve the image quickly and accurately without divulging the image content. Compared with other traditional schemes, the scheme consumes less computing resources and has higher computing efficiency, which is more suitable for resource-constrained edge computing environment. Experimental results show the algorithm has high security, retrieval accuracy and efficiency.

• 한국정보시스템학회지:정보시스템연구
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• 제16권2호
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• pp.69-91
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• 2007

The mobile computing environment has already matured and mobile services are activated throughout many industries. In the following years, these changes are expected to evolve into a ubiquitous computing environment. In the meantime, whether newly developed information technologies will thrive or diminished depends on user's intention to adopt them. Hence, the necessity of user-centered research considering ubiquitous computing in mobile computing environment is obvious. This study, thus, investigated ubiquitous factors in various literature related to ubiquitous computing and technology acceptance and it proposes a research model of the ubiquitous factors affecting user's intention to use mobile services, in terms of meaning(connectivity, mobility), service(contextual offer), compatibility(compatibility), and infrastructure(privacy, truth). The proposed model is expected to help both researchers and practitioners extend their understanding about the ubiquitous factors in mobile computing environment

• 산업경영시스템학회지
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• 제32권2호
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• pp.85-93
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• 2009

GOMS model is a cognitive modeling method of human performance based on Goal, Operators, Methods, Selection rules. GOMS model was originally designed for desktop environment so that it is difficult for GOMS model to be implemented into the mobile environment. In addition, GOMS model would be inaccurate because the original GOMS model was based on serial processing, excluding one of most important human information processing characteristics, parallel processing. Therefore this study was designed to propose a modified GOMS model including mobile computing and parallel processing. In order to encompass mobile environment, an operator of 'look for' was divided into 'visual move to' and 'recognize' whereas 'point to' and 'click' were combined into 'tab.' The results showed that newly introduced operators were necessary to estimate more accurate mobile computing behaviors. In conclusion, modified-GOMS model could predict human performance more accurately than the original GOMS model in the mobile computing environment.

• 한국정보처리학회논문지
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• 제7권6호
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• pp.1932-1940
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• 2000

We must solve problems caused by mobile computing environments for supporting efficient mobile computing services. The problem is the use of wireless medium having high error rates and low bandwidth, and the sudden network disconnection to reduce the power consumption of a mobile host and the cost of the network connection. For these problems, we proposed the architecture of the partial connection manager and designed and implemented that in this paper. In particular, The partial connection manager creates the limited number of mobile agents according to priority and sends them in parallel to server systems and combines results of them process rapidly the user request. By applying the proposed partial connection manager to the mobile computing services called cybermarket, we knew that the mobile agent technique could be suited to the mobile computing environment and overcome the partial connection problem caused by eh mobile computing environment.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.204-210
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• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• 디지털산업정보학회논문지
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• 제8권1호
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• pp.99-105
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• 2012

Given the numbers of smartphones, tablets and other mobile devices shipped every day, more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.

• 한국차세대컴퓨팅학회논문지
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• 제13권6호
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• pp.21-30
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• 2017

피지컬 컴퓨팅은 단순 컴퓨터 입출력이 아닌 현실세계와 상호작용을 통해 이루어지므로 학생들의 컴퓨팅적 사고와 소양을 기르는데 적합하다. 또한 이를 블록형 코딩 개발환경에서 개발한다면 사용자는 훨씬 더 직관적이고 쉽게 개발을 할 수 있을 것이다. 그러나 기존 블록형 코딩 개발환경은 물리기기가 컴퓨터에 지속적으로 연결되어 있어야 한다는 번거로움이 있다. Blockly는 코드 개념을 나타내는 그래픽 블록이 연동되어 웹과 안드로이드 애플리케이션에 시각적 코드 에디터를 추가하는 오픈소스 라이브러리이다. 본 논문에서는 오픈소스 Blockly 기반으로 기존의 블록형 개발환경에 피지컬 컴퓨팅 기능을 추가하고 이를 무선통신으로 동작시킬 수 있는 모바일용 피지컬 컴퓨팅 개발환경의 구축 내용에 대해 기술한다.

• Journal of the Korean Data and Information Science Society
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• 제19권1호
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• pp.11-24
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• 2008

In this paper, the patterns of movement used in the mobile communication systems are adopted in the mobile computing environment to reduce handover delay and to support seamless handover for MIPv6 based on IEEE 802.11 networks. That is, RtSolPr message and PrRtAdv message can be treated before handover. As the result, it is possible to assign NCoA to MN and Next Access Router(NAR) before handover starts. This can minimize handover delay and reduce the total handover delay.