• 제목/요약/키워드: data architecture

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Architecture, Component, and Reuse

  • 박준성
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2003년도 춘계학술대회
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    • pp.647-664
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    • 2003
  • [ $\circ$ ] Enterprise architecture is essential for ROI of e-Enterprise. $\circ$ An architecture is described from business, application, data and technical views and these must be complete and consistent. $\circ$ UML-based CBD is currently the best approach to obtaining architecture-centric, flexible and interoperable systems. $\circt$ Reuse of architecture, components, shared services and app frameworks is key to achieving both quality and productivity. $\circ$ Web service, the NBT, cannot be tapped without the architecting capability. $\circ$ Architects with world-class domain as well as software engineering knowledge are key to success of Korean software industry.

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Hardware architecture of a wavelet based multiple line addressing driving system for passive matrix displays

  • Lam, San;Smet, Herbert De
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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    • pp.802-805
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    • 2007
  • A hardware architecture is presented of a wavelet based multiple line addressing driving scheme for passive matrix displays using the FPGA (Field Programmable Gate Arrays), which will be integrated in the scalable video coding $architecture^{[1]}$. The incoming compressed video data stream will then directly be transformed to the required column voltages by the hardware architecture without the need of employing the video decompression.

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스마트공장을 위한 빅데이터 애널리틱스 플랫폼 아키텍쳐 개발 (Developing a Big Data Analytics Platform Architecture for Smart Factory)

  • 신승준;우정엽;서원철
    • 한국멀티미디어학회논문지
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    • 제19권8호
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    • pp.1516-1529
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    • 2016
  • While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

중견 제조기업에 적합한 생산 마스터 정보관리(Master Data Management) 솔루션 개발 (Development of the Master Data Management for the Middle manufacturing Industry)

  • 김정숙
    • 한국컴퓨터정보학회논문지
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    • 제11권3호
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    • pp.97-105
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    • 2006
  • 변화하는 기업 환경에 효과적으로 대응하기 위해서는 우리나라 중견 제조업 환경에 적합한 생산 마스터 정보관리 솔루션 도입이 시급하다 따라서 본 논문에서는 사용하기 편리한 사용자 인터페이스를 가지며, 다양한 시스템들과도 쉽게 연동할 수 있도록 표준 데이터 구조를 설계하였다. 또한 표준 데이터 구조를 중간언어 형태로 생성해 주는 자동화 연동 모듈을 탑재하고, 생산 관리 데이터의 확장이 가능한 생산 마스터 정보관리 솔루션을 개발하였다. 본 개발을 통하여 업무적으로는 관리하지 않았던 데이터를 관리함으로써 보다 효율적인 업무 프로세스 구성을 이룰 수 있을 뿐만 아니라 시스템 확장 시 보다 안정적인 시스템 구축을 위한 근간을 제공할 수 있다.

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Estimation of ship operational efficiency from AIS data using big data technology

  • Kim, Seong-Hoon;Roh, Myung-Il;Oh, Min-Jae;Park, Sung-Woo;Kim, In-Il
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제12권1호
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    • pp.440-454
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    • 2020
  • To prevent pollution from ships, the Energy Efficiency Design Index (EEDI) is a mandatory guideline for all new ships. The Ship Energy Efficiency Management Plan (SEEMP) has also been applied by MARPOL to all existing ships. SEEMP provides the Energy Efficiency Operational Indicator (EEOI) for monitoring the operational efficiency of a ship. By monitoring the EEOI, the shipowner or operator can establish strategic plans, such as routing, hull cleaning, decommissioning, new building, etc. The key parameter in calculating EEOI is Fuel Oil Consumption (FOC). It can be measured on board while a ship is operating. This means that only the shipowner or operator can calculate the EEOI of their own ships. If the EEOI can be calculated without the actual FOC, however, then the other stakeholders, such as the shipbuilding company and Class, or others who don't have the measured FOC, can check how efficiently their ships are operating compared to other ships. In this study, we propose a method to estimate the EEOI without requiring the actual FOC. The Automatic Identification System (AIS) data, ship static data, and environment data that can be publicly obtained are used to calculate the EEOI. Since the public data are of large capacity, big data technologies, specifically Hadoop and Spark, are used. We verify the proposed method using actual data, and the result shows that the proposed method can estimate EEOI from public data without actual FOC.

A Pipelined Hardware Architecture of an H.264 Deblocking Filter with an Efficient Data Distribution

  • Lee, Sang-Heon;Lee, Hyuk-Jae
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제6권4호
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    • pp.227-233
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    • 2006
  • In order to reduce blocking artifacts and improve compression efficiency, H.264/AVC standard employs an adaptive in-loop deblocking filter. This paper proposes a new hardware architecture of the deblocking filter that employs a four-stage pipelined structure with an efficient data distribution. The proposed architecture allows a simultaneous supply of eight data samples to fully utilize the pipelined filter in both horizontal and vertical filterings. This paper also presents a new filtering order and data reuse scheme between consecutive macroblock filterings to reduce the communication for external memory access. The number of required cycles for filtering one macroblock (MB) is 357 cycles when the proposed filter uses dual port SRAMs. This execution speed is only 41.3% of that of the fastest previous work.

Comparison of Visual Interpretation and Image Classification of Satellite Data

  • Lee, In-Soo;Shin, Dong-Hoon;Ahn, Seung-Mahn;Lee, Kyoo-Seock;Jeon, Seong-Woo
    • 대한원격탐사학회지
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    • 제18권3호
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    • pp.163-169
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    • 2002
  • The land uses of Korean peninsula are very complicated and high-density. Therefore, the image classification using coarse resolution satellite images may not provide good results for the land cover classification. The purpose of this paper is to compare the classification accuracy of visual interpretation with that of digital image classification of satellite remote sensing data such as 20m SPOT and 30m TM. In this study, hybrid classification was used. Classification accuracy was assessed by comparing each classification result with reference data obtained from KOMPSAT-1 EOC imagery, air photos, and field surveys.

사이버공격 추적시스템 운용아키텍처 (Cyberattack Tracing System Operational Architecture)

  • 안재홍
    • 한국군사과학기술학회지
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    • 제26권2호
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    • pp.179-187
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    • 2023
  • APT cyber attacks have been a problem for over a past decade, but still remain a challenge today as attackers use more sophisticated techniques and the number of objects to be protected increases. 'Cyberattack Tracing System' allows analysts to find undetected attack codes that penetrated and hid in enterprises, and to investigate their lateral movement propagation activities. The enterprise is characterized by multiple networks and mass hosts (PCs/servers). This paper presents a data processing procedure that collects event data, generates a temporally and spatially extended provenance graph and cyberattack tracing paths. In each data process procedure phases, system design considerations are suggested. With reflecting the data processing procedure and the characteristics of enterprise environment, an operational architecture for CyberAttack Tracing System is presented. The operational architecture will be lead to the detailed design of the system.

한국의료복지시설학회의 역사와 활동 (History and Activities of Korea Institute of Healthcare Architecture)

  • 유영민
    • 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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    • 제18권4호
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    • pp.67-74
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    • 2012
  • Purpose: Since the establishment of Korea Society for the Study of Hospital Architecture, Korea Institute of Healthcare Architecture have carried out various activities to improve the level of healthcare architecture in Korea. Despite of more diverse activities than the beginning, the history and activities of early days of the Society and Institute could be forgotten and omitted. So this paper aims to describe accurately the process of establishment of Korea Society for the Study of Hospital Architecture and Korea Institute of Healthcare Architecture and the activities of the Society and Institute. Methods: Publications and documents issued by Korea Society for the Study of Hospital Architecture and Korea Institute of Healthcare Architecture have been surveyed. And to identify the unwritten activities, personal memo and interviews were also used. Results: The result of this study can be summarized into two points. The first one is that some of the unwritten and uncertain history and activities of the beginning of the KIHA could be identified. The second one is that not also the activities of Korea Society for the Study of Hospital Architecture and Korea Institute of Healthcare Architecture but the activities prior to the Society for the Study could be described. Implications: This research could be the basic data to arrange the history and activities of KIHA.