• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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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.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.191-202
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• 2021

In an Internet of Things (IoT)-configured system, each device executes on-chip software. Recent IoT devices require fast execution time of complex services, such as analyzing a large amount of data, while maintaining low-power computation. As service complexity increases, the service requires high-performance computing and more space for embedded space. However, the low performance of IoT edge devices and their small memory size can hinder the complex and diverse operations of IoT services. In this paper, we propose a remote on-demand software code execution unit using the cloudification of on-chip code memory to accelerate the program execution of an IoT edge device with a low-performance processor. We propose a simulation approach to distribute remote code executed on the server side and on the edge side according to the program's computational and communicational needs. Our on-demand remote code execution unit simulation platform, which includes an instruction set simulator based on 16-bit ARM Thumb instruction set architecture, successfully emulates the architectural behavior of on-chip flash memory, enabling embedded devices to accelerate and execute software using remote execution code in the IoT environment.

• 한국멀티미디어학회논문지
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• 제8권12호
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• pp.1605-1612
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• 2005

This paper presents the knowledge and experience we obtained by employing multiprocessor systems as a computer simulation design verification to study high-performance computing system. This paper also describes a case study of symmetric multiprocessors (SMP) kernel on a 32 CPUs CC-NUMA architecture using an actual architecture. A small group of CPUs of CC-NUMA, high-performance computer system, is clustered into a processing node or cluster. By simulating the system design verification tools; we discussed SMP OS kernel on a CC-NUMA multiprocessor architecture performance which is $32\%$ of the total execution time and remote memory access latency is occupied $43\%$ of the OS time. In this paper, we demonstrated our simulation results for multiprocessor, high-performance computing system performance, using simulation-based design verification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1587-1605
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• 2015

Mobile cloud computing (MCC) combines mobile Internet and cloud computing to improve the performance of applications. In MCC, the data processing and storage for mobile devices (MDs) is provided on the remote cloud. However, MCC faces the problem of energy efficiency caused by randomly varying channels. In this paper, by introducing the Lyapunov optimization method, we propose a combined service subscription and delivery (CSSD) algorithm that can guide the users to subscribe to services reasonably. This algorithm can also determine whether to deliver the data and to whom data is sent in the current time unit based on the queue backlog and the channel state. Numerical results validate the correctness and effectiveness of our proposed CSSD algorithm.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.719-724
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• 2007

Many engineering problems often require the large amount of computing resources for iterative simulations of problems treating many parameters and input files. In order to overcome the situation, this paper proposes an e-Science based computational system. The system exploits the Grid computing technology to establish an integrated web service environment which supports distributed high throughput computational simulations and remote executions. The proposed system provides an easy-to-use parametric study service where a computational service includes real time monitoring. To verify usability of the proposed system, two kinds of applications were introduced. The first application is an Aerospace Integrated Research System (e-AIRS). The e-AIRS adapts the proposed computational system to solve CFD problems. The second one is design and optimization of protein 3-dimensional structures.

• 한국정보과학회논문지:시스템및이론
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• 제34권7호
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• pp.304-318
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• 2007

그리드(Grid) 컴퓨팅은 지리적으로 분산된 컴퓨팅 자원들을 네트워크로 연동시켜 서로 공유 될 수 있도록 해주는 서비스이다. 본 논문에서는 그리드 컴퓨팅 시스템을 구성하는 전체 노드를 대상으로 작업을 분배하는 메타 스케줄링 정책과 특정 한 개의 노드 내에서 작업을 분배하는 작업 스케줄링을 동시에 고려하는 하이브리드 스케줄링 기법을 제안한다. 그리드 컴퓨팅 노드로 제출된 작업을 필요 프로세서 수와 예상 작업수행 시간에 따라 구분하여 우선순위가 높은 작업은 작업 큐(Job Queue)로, 우선순위가 낮은 작업과 원거리 작업은 백필 큐(Backfill Queue)로 할당시킴으로써, 그리드 컴퓨팅 시스템의 성능을 높이는 방법을 연구한다. 다양한 실험을 통하여 제안된 기법들의 성능을 평가하며, 그리드 컴퓨팅 시스템의 이용률이 높아지고, 작업 지연시간이 감소됨을 확인한다.

• 한국항행학회논문지
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• 제17권1호
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• pp.63-68
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• 2013

최근 세계적인 경제위기 속에서 국내외의 기업들이 IT 투자를 보류하거나 예산을 대폭 삭감하고 있다. 이에 기업들은 IT 부문에 있어서의 비용 절감을 통한 위기 극복 방안을 모색하고 있으며, 이러한 상황에서 클라우드 컴퓨팅(Cloud Computing)은 위기 극복을 위한 최적의 솔루션으로 빠르게 부상하고 있다. 또한 디지털 포렌식 조사과정에서 조사 대상 시스템의 사용자가 클라우드 서비스를 사용했는지 여부는 추가적은 조사 대상의 선정에 매우 중요한 요소이다. Daum Cloud, Google Docs와 같은 클라우드 서비스를 사용하였을 경우, 로그인 정보를 획득하여 원격지의 클라우드 서비스에 접속이 가능한 경우가 있다. 이러한 경우에는 원격지의 증거 데이터를 수집할 수 있는다. 따라서 다양한 클라우드 서비스에서 데이터를 수집하고 분석하는 방안에 대하여 연구가 필요하다. 이에 본 연구에서는 서비스별 데이터 수집 및 분석 기법에 대해 연구하여 클라우드 환경을 고려한 디지털 포렌식 프레임워크를 제안한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.127-131
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• 1999

Typhoons were known by contributing to transporting plus heat or kinetic energy from equatorial region to midlatitude region. Due to the strong damage from typhoon, we acknowledged the theoretical study and the importance of accurate forecast about typhoon. In this study, typhoon forecasting system was developed to search the tracks of past typhoons or to display similar track of past typhoon in comparison with the path of current forecasting typhoon. It was programmed using Interactive Data Language(IDL), which was a complete computing environment for the interactive analysis and visualization of data. Typhoon forecasting system was also included satellite image and auxiliary chart. IR, Water Vapor, Visible satellite images helped users analyze an accurate forecast of typhoon. They were further refined the procedures for generating water vapor winds and gave an initial indication of their utility for numerical weather prediction(NWP), in particular for typhoon track forecasting where they could provide important information. They were also available for its utility in typhoon tracer or intensity.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.84-88
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• 1999

Recently, the necessity of accessing spatial data from remote computer via network has been increased as distributed spatial data have been increased due to their size and cost. Many methods have been used in recent years for transferring spatial data, such as socket, CORBA, HTTP, RPC, FTP, etc. In this paper, we propose spatial clearinghouse components to access distributed spatial data sources via CORBA and Internet. The spatial clearinghouse components are defined as OLE/COM components that enable users to access spatial data that meet their requests from remote computer. For reusability, we design the spatial clearinghouse with UML and implement it as a set of components. In order to enhance interoperability among different platforms in distributed computing environment, we adopt international standards and open architecture such as CORBA, HTTB, and OpenGIS Simple Features Specifications. There are two kinds of spatial clearinghouse: CORBA-based spatial clearinghouse and Internet-based spatial clearinghouse. The CORBA-based spatial clearinghouse supports COM-CORBA bridge to access spatial data from remote data providers that satisfy the OpenGIS Simple Features Specification for OLE/COM using COM and CORBA interfaces. The Internet-based spatial clearinghouse provides Web-service components to access spatial data from remote data providers using Web-browser.

• 경영과정보연구
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• 제3권
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• pp.15-45
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• 1999

Processing techniques of remote sensed image data using computer have been recognized very necessary techniques to all social fields, such as, environmental observation, land cultivation, resource investigation, military trend grasp and agricultural product estimation, etc. Especially, accurate classification and analysis to remote sensed image da are important elements that can determine reliability of remote sensed image data processing systems, and many researches have been processed to improve these accuracy of classification and analysis. Traditionally, remote sensed image data processing systems have been processed 2 or 3 selected bands in multiple bands, in this time, their selection criterions are statistical separability or wavelength properties. But, it have be bring up the necessity of bands selection method by data distribution characteristics than traditional bands selection by wavelength properties or statistical separability. Because data sensing environments change from multispectral environments to hyperspectral environments. In this paper for efficient data classification in multispectral bands environment, a band feature extraction method using the Rough sets theory is proposed. First, we make a look up table from training data, and analyze the properties of experimental multispectral image data, then select the efficient band using indiscernibility relation of Rough set theory from analysis results. Proposed method is applied to LANDSAT TM data on 2 June 1992. From this, we show clustering trends that similar to traditional band selection results by wavelength properties, from this, we verify that can use the proposed method that centered on data properties to select the efficient bands, though data sensing environment change to hyperspectral band environments.