• Title/Summary/Keyword: 데이터처리장치

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Spatial Index based on Main Memory for Web CIS (Web GIS를 위한 주기억 장치 기반 공간 색인)

  • 김진덕;진교홍
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.10a
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    • pp.191-194
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    • 2001
  • The availability of the inexpensive, large main memories coupled with the demand for faster response time are bringing a new perspective to database technology. The Web GIS used by u unspecified number of general public in the internet needs high speed response time and frequent data retrieval for spatial analysis rather than data update. Therefore, it is appropriate to use main memory as a underlying storage structures for the Web GIS data. In this paper, we propose a data representation method based on relative coordinates and the size of the MBR. The method is able to compress the spatial data widely used in the Web GIS into smaller volume of memory. We also propose a memory resident spatial index with simple mechanism for processing point and region queries. The performance test shows that the index is suitable for managing the skewed data in terms of the size of the index and the number of the MBR intersection check operations.

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Development of scalable big data storage system using network computing technology (네트워크 컴퓨팅 기술을 활용한 확장 가능형 빅데이터 스토리지 시스템 개발)

  • Park, Jung Kyu;Park, Eun Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1330-1336
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    • 2019
  • As the Fourth Industrial Revolution era began, a variety of devices are running on the cloud. These various devices continue to generate various types of data or large amounts of multimedia data. To handle this situation, a large amount of storage is required, and big data technology is required to process stored data and obtain accurate information. NAS (Network Attached Storage) or SAN (Storage Area Network) technology is typically used to build high-speed, high-capacity storage in a network-based environment. In this paper, we propose a method to construct a mass storage device using Network-DAS which is an extension technology of DAS (Direct Attached Storage). Benchmark experiments were performed to verify the scalability of the storage system with 76 HDD. Experimental results show that the proposed high performance mass storage system is scalable and reliable.

슈퍼컴퓨팅센터의 데이터 스토리지 운영정책

  • Kim, Jung-Gwon
    • Journal of Scientific & Technological Knowledge Infrastructure
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    • s.4
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    • pp.113-123
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    • 2001
  • 슈퍼컴퓨팅센터의 경우, 사용자의 대규모 프로그램을 처리하기 위해서는 우수한 CPU 성능, 방대한 양의 출력 데이터를 관리 및 저장할 수 있는 저장장치의 능력과 용량, 그리고 슈퍼컴퓨팅센터간 혹은 슈퍼컴퓨팅센터와 사용자간을 연결하는 고속 네트워크가 필요하며, 이 세 요소가 균형있게 발전해야만 슈퍼컴퓨터 활용의 극대화가 가능하게 된다.

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Efficient IoT data processing techniques based on deep learning for Edge Network Environments (에지 네트워크 환경을 위한 딥 러닝 기반의 효율적인 IoT 데이터 처리 기법)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.325-331
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    • 2022
  • As IoT devices are used in various ways in an edge network environment, multiple studies are being conducted that utilizes the information collected from IoT devices in various applications. However, it is not easy to apply accurate IoT data immediately as IoT data collected according to network environment (interference, interference, etc.) are frequently missed or error occurs. In order to minimize mistakes in IoT data collected in an edge network environment, this paper proposes a management technique that ensures the reliability of IoT data by randomly generating signature values of IoT data and allocating only Security Information (SI) values to IoT data in bit form. The proposed technique binds IoT data into a blockchain by applying multiple hash chains to asymmetrically link and process data collected from IoT devices. In this case, the blockchainized IoT data uses a probability function to which a weight is applied according to a correlation index based on deep learning. In addition, the proposed technique can expand and operate grouped IoT data into an n-layer structure to lower the integrity and processing cost of IoT data.

Efficient Dynamic Index Structure for SSD (SPM) (SSD에 적합한 동적 색인 저장 구조 : SPM)

  • Jin, Du-Seok;Kim, Jin-Suk;You, Beom-Jong;Jung, Hoe-Kyung
    • The Journal of the Korea Contents Association
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    • v.10 no.2
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    • pp.54-62
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    • 2010
  • Inverted index structures have become the most efficient data structure for high performance indexing of large text collections, especially online index maintenance, In-Place and merge-based index structures are the two main competing strategies for index construction in dynamic search environments. In the above-mentioned two strategies, a contiguity of posting information is the mainstay of design for online index maintenance and query time. Whereas with the emergence of new storage device(SSD, SCRAM), those do not consider a contiguity of posting information in the design of index structures because of its superiority such as low access latency and I/O throughput speeds. However, SSD(Solid State Drive) is not well suited for traditional inverted structures due to the poor random write throughput in practical systems. In this paper, we propose the new efficient online index structure(SPM) for SSD that significantly reduces the query time and improves the index maintenance performance.

Hierarchical Image Processing Method For Context-Awareness On Ubiquitous-Safety(U-Safety) (유비쿼터스 안전관리(U-Safety) 상에서의 상황인지를 위한 계층적 영상 처리 시스템)

  • Lim, Chul-Hoo;Song, Kang-Suk;Jeong, Moo-Il;Lee, Yong-Woog;Moon, SungMo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.553-557
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    • 2009
  • USS(Ubiquitous Smart Space) give services, that fit in with customer's goal, by cognizing various situations that happens in a space and cooperating autonomously objects or services in a space. In USS, U-Safety is a system that cognizes more exact situations with multiple sensors in USS, deals with this and take proper actions. When men reason on situations objectively, it is most ideal that image data among collected data with used various sensors in U-Safety. A senter collects a lot of image data from image input devices equipped in various points and work a multiple situation cognition and inference that are based on this. So, senters spend many resources for processing massive data. This paper proposes hierarchical image processing method that does the first situation cognization in image input devices, blocks only points that situation cognization possibility is high among a total image, and transfers to senters. It improves the efficiency of smooth situation cognization by reducing resources that a senter spends on image processing. So, it reduces proportion of image data in U-Safety.

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Design of Web based Plasma Properties Reference Data Collection and Evaluation System (Web기반 Plasma 물성 참조데이터 수집평가 시스템 설계)

  • Park, Jun-Hyoung;Hwang, Sung-Ha;Jang, Won-Suk;Kwon, Duek-Chul;Song, Mi-Young;Yoon, Jung-Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.1062-1065
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    • 2010
  • Plasma 물성 데이터는 Plasma내에서 일어나는 입자(전자, 원자, 이온, 분자 등)들의 충돌에 대한 데이터로써 Plasma 발생 장치 설계 및 제어의 핵심 요소이며, Plasma 공정조건 확립을 위한 필수 정보가 된다. 참조표준은 과학기술데이터나 정보에 대하여 정확도와 신뢰도에 대한 분석 및 평가가 이루어진 공인데이터를 말한다. 이러한 플라즈마 물성 정보를 체계적으로 관리하고 신뢰성 있는 데이터를 필요로 하는 산업체에 지원하기 위하여 특정 참조표준과 참조데이터로 제정, 보급하는 Plasma 물성 참조표준 수집평가 시스템이 필요하고, 이에 대한 설계가 필요하다.

Highly Reliable Differential Privacy Technique Utilizing Error Correction Encoding (오류 정정 부호를 활용한 고신뢰 차등 프라이버시 기법)

  • Seung-ha Ji;So-Eun Jeon;Il-Gu Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.243-244
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    • 2024
  • IoT 장치의 개수가 급증함에 따라 네트워크 환경에서 송수신되는 데이터 양이 증가하였고, 이에 따라 데이터 전송과정의 보안 강화가 중요해지고 있다. 기존에는 데이터에 인공 노이즈를 추가하는 차등 프라이버시 기법(Differential Privacy, DP)을 적용하여 데이터를 보호하고 있다. 하지만 DP가 적용된 데이터를 수신하는 정상 사용자의 머신러닝 학습 정확도가 감소되는 문제가 있다. 본 논문에서는 고신뢰 데이터 전송을 위한 데이터 인코딩 기반의 DP 기법인 EN-DP (Encoding-based DP) 모델을 제안한다. 실험 결과에 따르면, EN-DP 를 통한 정상 사용자와 공격자 간의 학습 능력 정확도 간극을 종래 모델 대비 최대 17.16% 개선할 수 있음을 입증하였다.

A Study on the Implementation of Web Server Patient Monitoring System using Point to Point Protocol (종단 대 종단 프로토콜을 사용하는 웹 서버 환자감시장치 구현에 관한 연구)

  • 최재석;김영길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.463-467
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    • 2000
  • In this paper, we have implemented the Web Server Patient Monitoring System using PPP. It is composed of two parts. The first part is the Analog board for acquiring ECG signals. The second part is the module for processing and transmitting the acquired signal. The second part is using PPP for dial-up networking, TCP/IP for Internet, HTTP for web browser and JAVA program for a Patient Monitoring Program in one chip. In home, it is not need to establish another network line because it uses a telephone line. And a user who want to monitor a patient's biosignal can monitor a patient without wholly open network because it is the network sewer. The Patient Monitoring Program runs on a web browser by downloaded JAVA codes when a user connect to this system. It can make the Home Patient Monitoring Program decrease cost. It can help to avoid the limitation of monitoring a patient.

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A Study for Configuring Hybrid Storage System include DRAM SSD and HDD devices (DRAM SSD와 하드디스크 어레이를 이용한 하이브리드 저장장치 시스템 설계)

  • Kim, Young-Hwan;Son, Jae-Gi;Park, Changwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.288-289
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    • 2012
  • 최근 데이터 저장을 위한 고속 입출력에서 병목현상을 해결하기 위해 다양한 SSD(Solid State Drive) 관련 연구가 많이 수행되고 있다. 대표적인 것으로 비휘발성 메모리인 플래시와 차세대 반도체 메모리인 SCM(Storage Class Memory) SSD가 있고, 휘발성 메모리인 DRAM기반의 SSD가 있다. 플래시 또는 SCM 메모리기반 저장장치는 하드 디스크기반 저장장치에 비해 읽기 속도가 빠르며, 내구성이 강하다는 장점으로 새로운 저장장치 시스템의 저장매체로 부각되고 있으나, 단위 저장 공간 당 높은 가격으로 인해 저장장치 시스템에 적용하기 에는 많은 문제점이 있다. 최근에는 이러한 문제를 해결하기 위해 고용량의 하드디스크와 SSD를 RAID 또는 단일 저장장치 매체로 구성하는 하이브리드 저장장치에 관한 연구와 제품이 출시되고 있다. 본 논문에서는 이러한 하이브리드 저장 매체 어레이를 저장장치 시스템으로 구성하기 위한 볼륨구성과 해당 서버에 볼륨 제공 서비스를 수행하기 위한 하이브리드 저장장치 시스템 설계 방법에 대해 설명한다.