• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.209-233
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• 2014

This study is to propose an archive management model based on cloud computing for preservation and utilization, as analyzing the characteristic of business model, electronic records and archival system. To achieve the goals this study classifies hardware and software resources by cloud computing models and redesigns business processes based on cloud computing. Adopting cloud computing technology in a central archives management system can be a exemplary case for other archives management systems to improve system and business performance.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.639-649
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• 2018

Physical computing, a concrete operational activity using tools, can help children to understand principles of computer science by observing interactions between a computer and the real world directly. This study aims to design and develop an android application to utilize students' smart phones as a tool of physical computing education. The application includes one class designed to collect data using android smart phone sensors and another designed to transfer the data to a computer which students can use to learn programming. The physical computing application can be used to help students understand the principles of computer science more easily in schools not equipped with physical computing tools.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.246-249
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• 2009

인간 생활의 편의를 위해 지능형 서비스 로봇에 대한 필요성이 증가하고 있지만, 인간과 로봇이 상호간에 소통할 수 있는 인터페이스나 애플리케이션 등의 개발은 미흡한 상태이다. 이러한 문제점을 극복하고 지능형 서비스 로봇의 대중화를 위하여 사용자 중심의 애플리케이션을 제안한다. 사용자 애플리케이션은 각 시스템들의 정보를 분석하여 제어하는 부분을 담당하고, 사용자의 명령을 블루투스 통신을 통해 로봇에게 전달하며, 로봇의 위치데이터 및 영상정보를 사용자에게 보여준다. 제안 시스템을 통해 로봇에 대한 전문지식이 없는 사용자도 로봇을 쉽게 제어할 수 있으며, 관리자는 원격지에서도 제어 및 모니터링이 가능하여 시스템 관리의 편의성을 제공한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1935-1950
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• 2023

The arrival of the Internet of Things and 5G technology enables users to rely on edge computing platforms to process massive data. Data sharing based on edge computing refines the efficiency of data collection and analysis, saves the communication cost of data transmission back and forth, but also causes the privacy leakage of a lot of user data. Based on attribute-based encryption and blockchain technology, we design a fine-grained access control scheme for data in edge computing, which has the characteristics of verifiability, support for outsourcing decryption and user attribute revocation. User attributes are authorized by multi-attribute authorization, and the calculation of outsourcing decryption in attribute encryption is completed by edge server, which reduces the computing cost of end users. Meanwhile, We implemented the user's attribute revocation process through the dual encryption process of attribute authority and blockchain. Compared with other schemes, our scheme can manage users' attributes more flexibly. Blockchain technology also ensures the verifiability in the process of outsourcing decryption, which reduces the space occupied by ciphertext compared with other schemes. Meanwhile, the user attribute revocation scheme realizes the dynamic management of user attribute and protects the privacy of user attribute.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.554-557
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• 2016

Recently, supercomputer has been increasingly adopted as a computing environment for scientific simulation as well as education, healthcare and national defence. Especially, supercomputing system with heterogeneous computing resources is gaining resurgence of interest as a next-generation problem solving environment, allowing theoretical and/or experimental research in various fields to be free of time and spatial limits. However, traditional supercomputing services have only been handled through a simple form of command-line based console, which leads to the critical limit of accessibility and usability of heterogeneous computing resources. To address this problem, in this paper, we provide the design and implementation of web-based HPC (High Performance Computing) job management framework for computational scientific simulation. The proposed framework has highly extensible design principles, providing the abstraction interfaces of job scheduler (as well as bundle scheduler plug-ins for LoadLeveler, Sun Grid Engine, OpenPBS scheduler) in order to easily incorporate the broad spectrum of heterogeneous computing resources such as cluster, computing cloud and grid. We also present the detailed specification of HTTP standard based RESTful endpoints, which manage simulation job's life-cycles such as job creation, submission, control and status monitoring, etc., enabling various 3rd-party applications to be newly created on top of the proposed framework.

• 유체기계공업학회:학술대회논문집
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• 2006.08a
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• pp.33-36
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• 2006

As the computing environment is rapidly improved, the interests of CFD are gradually focused on large-scale computation over complex geometry. Keeping pace with the trend, essential computational tools to obtain solutions of complex aerospace flow analysis and design problems are examined. An accurate and efficient flow analysis and design codes for large-scale aerospace problem are presented in this work. With regard to original numerical schemes for flow analysis, high-fidelity flux schemes such as RoeM, AUSMPW+ and higher order interpolation schemes such as MLP (Multi-dimensional Limiting Process) are presented. Concerning the grid representation method, a general-purpose basis code which can handle multi-block system and overset grid system simultaneously is constructed. In respect to design optimization, the importance of turbulent sensitivity is investigated. And design tools to predict highly turbulent flows and its sensitivity accurately by fully differentiating turbulent transport equations are presented. Especially, a new sensitivity analysis treatment and geometric representation method to resolve the basic flow characteristics are presented. Exploiting these tools, the capability of the proposed approach to handle complex aerospace simulation and design problems is tested by computing several flow analysis and design problems.

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1726-1731
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• 2004

This paper presents the response surface optimization method using three-dimensional Navier-Stokes analysis to optimize the shape of a forward-curved blades centrifugal fan. For numerical analysis, Reynolds-averaged Navier-Stokes equations with $k-{\varepsilon}$ turbulence model are discretized with finite volume approximations. In order to reduce huge computing time due to a large number of blades in forward-curved blades centrifugal fan, the flow inside of the fan is regarded as steady flow by introducing the impeller force models. Three geometric variables, i.e., location of cut off, radius of cut off, and width of impeller, and one operating variable, i.e., flow rate, were selected as design variables. As a main result of the optimization, the efficiency was successfully improved. And, optimum design flow rate was found by using flow rate as one of design variables. It was found that the optimization process provides reliable design of this kind of fans with reasonable computing time.

• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.24-35
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• 2018

Deep convolutional neural network (DCNN) is an advanced technology in image recognition. Because of extreme computing resource requirements, DCNN implementation with software alone cannot achieve real-time requirement. Therefore, the need to implement DCNN accelerator hardware is increasing. In this paper, we present a field programmable gate array (FPGA)-based hardware accelerator design of DCNN targeting handwritten Hangul character recognition application. Also, we present design optimization techniques in SDAccel environments for searching the optimal FPGA design space. The techniques we used include memory access optimization and computing unit parallelism, and data conversion. We achieved about 11.19 ms recognition time per character with Xilinx FPGA accelerator. Our design optimization was performed with Xilinx HLS and SDAccel environment targeting Kintex XCKU115 FPGA from Xilinx. Our design outperforms CPU in terms of energy efficiency (the number of samples per unit energy) by 5.88 times, and GPGPU in terms of energy efficiency by 5 times. We expect the research results will be an alternative to GPGPU solution for real-time applications, especially in data centers or server farms where energy consumption is a critical problem.

• 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.

• Architectural research
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• v.12 no.2
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• pp.15-22
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• 2010

Our prediction model is based on the development of "Semantic Location Model." It embodies geometrical and topological information which can increase the efficiency in prediction and make it easy to manipulate the prediction model. Data mining is being implemented to extract the inhabitant's location patterns generated day by day. As a result, the self-learning system will be able to semantically predict the inhabitant's location in advance. This context-aware system brings about the key component of the ubiquitous computing environment. First, we explain the semantic location model and data mining methods. Then the location prediction model for the ubiquitous computing system is described in details. Finally, the prototype system is introduced to demonstrate and evaluate our prediction model.