• IEIE Transactions on Smart Processing and Computing
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• v.3 no.6
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• pp.353-357
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• 2014

This paper, presents an efficient hardware architecture of high performance SVC(Scalable Video Coding). This platform uses dedicated hardware architecture to improve its performance. The architecture was prototyped in Verilog HDL and synthesized using the Synopsys Design Compiler with a 65nm standard cell library. At a clock frequency of 266MHz, This platform contains 2,500,000 logic gates and 750,000 memory gates. The performance of the platform is indicated by 30 frames/s of the SVC encoder Full HD($1920{\times}1080$), HD($1280{\times}720$), and D1($720{\times}480$) at 266MHz.

• ETRI Journal
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• v.32 no.4
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• pp.634-637
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• 2010

This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.735-738
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• 2004

In this experiment, we developed a ubiquitous computing platform that can analyze vibration and noise in wireless environment by wireless LAN and sensors. In order to utilize the COTS(Commercial Off The Shell) concept, we used a PDA that supports wireless LAN and serial communication as a main board. Following platform is used to measure the noise level of heavy construction equipments in a remote area.

• Journal of information and communication convergence engineering
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• v.3 no.1
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• pp.9-12
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• 2005

In this research, we developed a ubiquitous computing platform that can analyze the vibration and noise in wireless environment by wireless LAN and sensors. In order to utilize the COTS(Commercial Off The Shelf) concept, we used a PDA that supports wireless LAN and serial communication as a main board. Following platform is used to measure the noise level of heavy construction equipments in a remote area.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.519-522
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• 2010

유비쿼터스 환경에서 서비스를 개발하는데 협업모델이 중요한 주제로 연구되어 왔다. 본 연구에서는 이를 위한 방법으로 커뮤니티 컴퓨팅 모델을 MDA(Model Driven Architecture)에 기반하여 개발하고 있다. MDA에 기반한 커뮤니티 컴퓨팅 모델을 PICM(Platform Independent Community Model)에서 PSCM(Platform Specific Community Model)을 거쳐 최종 프로그램으로 개발된다. 본 논문에서는 PICM에서 PSCM으로 변환되는 방법을 규칙에 기반하여 제안하고 이를 구현한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.357-359
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• 2012

본 논문에서는 N-스크린 서비스를 제공하기 위하여 안드로이드 플랫폼 환경에서 유무선 네트워크에 연결된 스마트 디바이스(폰, 패드, 스마트 셋톱박스)를 연동하여 그래픽 UI 전송 기능뿐만 아니라 미디어 변환 기능을 포함한 원격 UI 시스템을 제시한다. 제안된 시스템은 스마트 디바이스를 자동으로 탐색하는 기능, 원격 UI 화면 공유 및 원격 이벤트 처리 기능, 실시간 미디어 변환 전송 기능을 포함한다.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.315-320
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• 2021

Currently, cloud computing is being used as a technology that greatly changes the IT field. For many businesses, many cloud services are available in the form of custom, reliable, and cost-effective web applications. Most cloud service providers provide functions such as IoT, machine learning, AI services, blockchain, AR & VR, mobile services, and containers in addition to basic cloud services that support the scalability of processors, memory, and storage. In this paper, we will look at the most used cloud service providers and compare the services provided by the cloud service providers.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.77-86
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• 2018

For the past few years, KISTI has been servicing an online simulation execution platform, called EDISON, allowing users to conduct simulations on various scientific applications supplied by diverse computational science and engineering disciplines. Typically, these simulations accompany large-scale computation and accordingly produce a huge volume of output data. One critical issue arising when conducting those simulations on an online platform stems from the fact that a number of users simultaneously submit to the platform their simulation requests (or jobs) with the same (or almost unchanging) input parameters or files, resulting in charging a significant burden on the platform. In other words, the same computing jobs lead to duplicate consumption computing and storage resources at an undesirably fast pace. To overcome excessive resource usage by such identical simulation requests, in this paper we introduce a novel framework, called IceSheet, to efficiently manage simulation data based on execution metadata, that is, provenance. The IceSheet framework captures and stores each provenance associated with a conducted simulation. The collected provenance records are utilized for not only inspecting duplicate simulation requests but also performing search on existing simulation results via an open-source search engine, ElasticSearch. In particular, this paper elaborates on the core components in the IceSheet framework to support the search and reuse on the stored simulation results. We implemented as prototype the proposed framework using the engine in conjunction with the online simulation execution platform. Our evaluation of the framework was performed on the real simulation execution-provenance records collected on the platform. Once the prototyped IceSheet framework fully functions with the platform, users can quickly search for past parameter values entered into desired simulation software and receive existing results on the same input parameter values on the software if any. Therefore, we expect that the proposed framework contributes to eliminating duplicate resource consumption and significantly reducing execution time on the same requests as previously-executed simulations.

• Structural Engineering and Mechanics
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• v.37 no.1
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• pp.17-37
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• 2011

This paper presents a new Internet-based computational framework for the realistic simulation of multi-scale response of structural systems. Two levels of parallel processing are involved in this frame work: multiple local distributed computing environments connected by the Internet to form a cluster-to-cluster distributed computing environment. To utilize such a computing environment for a realistic simulation, the simulation task of a structural system has been separated into a simulation of a simplified global model in association with several detailed component models using various scales. These related multi-scale simulation tasks are distributed amongst clusters and connected to form a multi-level hierarchy. The Internet is used to coordinate geographically distributed simulation tasks. This paper also presents the development of a software framework that can support the multi-level hierarchical simulation approach, in a cluster-to-cluster distributed computing environment. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Such integration can combine geographically distributed computing resources to produce realistic simulations of structural systems.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.199-201
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• 2006

소형 모바일 디바이스는 일반적으로 배터리로 동작하는 등 전력제한적이며 시스템 메모리 및 자원 제약적이다. 또한 소형 모바일 디바이스에서 실행되는 응용프로그램은 일반적으로 시스템의 일부 기능만을 이용하여 수행된다. 따라서 본 연구에서는 시스템에서 제공하는 서비스를 각각의 컴포넌트로 구현하고 응용프로그램의 요구에 따라 소프트웨어 플랫폼을 동적으로 재구성할 수 있는 소프트웨어 플랫폼을 설계 및 구현하였다. 구현한 플랫폼을 웨어러블 컴퓨터 보드에 포팅하여 정상 동작함을 확인하였다.