• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2609-2617
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• 2009

This paper describes the design overview of shared file system $SANique^{TM}$ and proposes the method for detection of failure node and recovery management algorithm. We also illustrate the characteristics and system architecture of shared file system based on SAN. In order to provide uninterrupted service, the detection and recovery methods are proposed under the all possible system failures and natural disasters. The various kinds of system failures and disasters are characterized and then the detection and recovery method are proposed in each disconnected computing node group.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.505-517
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• 2004

This paper overviews the design details of the cluster file system $\textrm{SANique}^{TM}$ on the SAN environment. $\textrm{SANique}^{TM}$ has the capability of transferring user data from shared SAN disk to client application without control of centralized file server. We, especially, focus on the characteristics and functions of recovery manager CRM of $\textrm{SANique}^{TM}$. The process component for failure detection and its overall procedure are described. We define the split-brain problem that cannot be easily detected in cluster file systems and also propose the recovery management method based on SAN disk in order to detect and solve the split-brain situation.

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.21-33
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• 2007

An overlay network is a virtual network which is constructed on top of a physical computer network. A node in the overlay network is connected through virtual or logical links, where each link corresponds to a path of the links in the underlying physical network. Overlay networks are suitable for sharing heterogeneous resources in distributed environments, However, overlay networks are limited for achieving reliable communication that failure detection in overlay networks is a very important issue. In this paper, we review conditions of conventional failure detection and propose a new approach to failure detection and resilience which can be applied to HRing (Hierarchical Ring) overlay networks. The proposed method consists of the failure detection and the failure resilience phases. Because it utilizes the characteristics of the HRing overlay network for failure detection, it can reduce unnecessary network traffic and provide better scalability and flexibility. We also analyzed and evaluated the performance of the proposed approach through simulations.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.37-39
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• 2002

본 논문은 SAN(storage area network)강에 네트워크-부착형 (network-attached) 저장 장치들을 직접 연결하여 화일 서버 없이 직접 데이터 전송이 가능한 SAN 기반의 리눅스 클러스터 공유 화일 시스템인 SANique$^{TM}$의 오류 탐지 기법 및 회복 기법에 대하여 기술한다. 클러스터 내의 노드 오류에 의해 발생하는 "split-brain"오류 상황 및 문제점을 공유 화일 시스템 환경 하에서 성의하고, 이 문제를 해결할 수 있는 오류 탐지기법을 제시한다.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.568-572
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• 2010

Self-healing is one of the techniques that assure dependability of mission-critical system. Self-healing consists of fault detection and fault recovery and fault detection is important first step that enables fault recovery but it causes overhead. We can detect fault based on model, the detection tasks that notify system's behavior and compare normal behavior model and system's behavior are heavy jobs. In this paper, we propose architecture-based multi-level self-adaptive monitoring method that complements model-based fault detection. The priority of fault detection per component is different in the software architecture. Because the seriousness and the frequency of fault per component are different. If the monitor is adapted to intensive to the component that has high priority of monitoring and loose to the component that has low priority of monitoring, the overhead can be decreased and the efficiency can be maintained. Because the environmental changes of software and the architectural changes bring the changes at the priority of fault detection, the monitor learns the changes of fault frequency and that is adapted to intensive to the component that has high priority of fault detection.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.441-442
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• 2021

본 논문에서는 고해상도의 시계열 위성영상을 딥러닝 알고리즘으로 학습하여 도시 변화탐지를 수행한다. 고해상도 위성영상을 활용한 서비스는 4 차 산업혁명 융합 신사업 중 하나인 스마트시티에 적용하여 도시 노후화, 교통 혼잡, 범죄 등 다양한 도시 문제 해결 및 효율적인 도시를 구축하는데 활용이 가능하다. 이에 본 연구에서는 도시 변화탐지를 위한 딥러닝 알고리즘으로 DeepLabV3+를 사용한다. 이는 인코더-디코더 구조로, 공간 정보를 점진적으로 회복함으로써 더욱 정확한 물체의 경계면을 찾을 수 있다. 제안하는 방법은 DeepLabV3+의 레이어와 loss function 을 수정하여 기존보다 좋은 결과를 얻었다. 객관적인 성능평가를 위해, 공개된 데이터셋 LEVIR-CD 으로 학습한 결과로 평균 IoU 는 0.87, 평균 Dice 는 0.93 을 얻었다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.198-208
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• 2001

CORBA, DCOM, Java RMI 등과 같은 분산 객체 기술이 분산 응용의 신뢰성을 직접적으로 향상시키지는 못한다. 이러한 분산 객체 기술에 고장 감내성을 추가하여 신뢰성 있는 시스템을 구축하기 위해서 객체 단위의 복제 그룹 관리와 고장 탐지 및 회복 메커니즘이 필요하다. 본 논문에서는 신뢰성 있는 고장 감내성 Java RMI 객체를 개발하기 위하여 고장 탐지와 그룹 관리를 위한 그룹 관리자와 원격 인터페이스를 설계하고, 고장 감내성 클래스를 정의한다. 또한 고장 감내성 객체의 투명한 그룹 참여를 위하여 Naming 클래스와 RMIRegistry를 확장한다. 응용 개발자는 고장 감내성 클래스를 상속함으로써 외부의 도움 없이 간단히 고장 감내성 응용 객체를 개발하여 신뢰성을 높일 수 있다. 100M Ethernet으로 연결된 Linux kernel2.2.1의 PentiumIII머신 3대와 Solaris2,6의 Sun Spar치머신을 클라이언트한 시스템을 사용하고 JDK 1.2.2를 이용하여 설계한 객체를 구현하여 다양한 객체고장 에 대해 복구되는 것을 확인하였다. 성능 평가는 그룹크기에 따른 함수의 응답속도와 메시지 크기에 따른 응답속도를 비교하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1215-1218
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• 2000

CORBA, DCOM, JavaRMI 등과 같은 분산 객체 기술이 분산 응용의 신뢰성을 직접적으로 향상시키지는 못한다. 이러한 분산 객체 기술에 고장 감내성을 추가하기 위해서는 객체 단위의 복제 그룹 관리와 고장 탐지 및 회복 메커니즘이 필요하다. 본 논문에서는 고장 감내형 JavaRMI 객체를 개발하기 위하여 고장 탐지와 그룹 관리를 위한 그룹관리자와 원격 인터페이스를 설계하고, 고장 감내성 클래스를 정의한다. 또한 고장 감내 객체의 투명한 그룹 참여를 위하여 Naming클래스와 RMIRegistry를 확장한다. 응용개발자는 고장 감내성 클래스를 상속함으로써 외부의 도움 없이 간단히 고장 감내 응용 객체를 개발 할 수 있다.

• Journal of Bio-Environment Control
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• v.28 no.4
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• pp.461-470
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• 2019

This study was carried out to quantify the drought stress in grafted watermelon seedlings non-destructively by using chlorophyll fluorescence (CF) imaging technique rather than the visual judgment. Six-day old watermelon seedlings were grown under uniform irrigation for 3 days, and then given drought stress. Afterward, the sensor for the measurement of water content in plug tray cell unit was used to classify the drought-stress level into nine groups from D1 (53.0%, sufficient moisture state) to D9 (15.7%, extremely dry stress), and the 16 CF parameters were measured. In addition, re-irrigation was performed on the drought stressed seedlings(D5 - D9) to determine the growth and photosynthesis recovery level, which was not confirmed by visual judgment. The kinetic curve patterns of CF in three different drought stressed seedling groups were found to be different for the early detection of drought stress. All the 16 CF parameters decreased continuously with exposure to drought stress and drastically decreased from D5 (32.1%) where the visual judgment was possible. The fluorescence decline ratio (Rfd_Lss) started to decrease from the initial drought stress level (D5 - D6), and the Maximum PSII quantum yield (Fv/Fm) was significantly decreased in the later extreme drought stress range (D7 - D9) by re-irrigation recovery test. Thus, Rfd_Lss and Fv/Fm parameters were finally selected as potent indicators of growth and photosynthesis recovery in the initial and later stages of drought stress. Also, to the differences in the numerical values of the individual chlorophyll fluorescence parameters, the drought stress level was intuitively confirmed through the image. These results indicate that Rfd and Fv/Fm can be considered as potential CF parameters for the detection of low and extremely high drought stress, respectively. Furthermore, Fv/Fm can be considered as the best CF parameters for recovery at re-irrigation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.5
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• pp.435-444
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• 2015

This paper specifies on a virtual array design of a 77 GHz vehicle radar for detecting a moving target at a time division transmit and a near range. The virtual array designed reduces a hardware complexity, weight and price. However, a synthesized beam of the virtual array has a high side lobe by a phase distortion of receive signals when the moving target is detected at the time division transmit. For this, a subarray receive signal with a same phase is used and the side lobe of the synthesized beam is suppressed above at least 10 dB. Also the virtual array has a beam distortion by a spherical wave when the vehicle radar operates at near range. So a boresight receive signal of each target range is compensated at each receive signal. Therefore the synthesized beam with compensation recovers a normal main lobe and improves the side lobe about 10~15 dB.