• Title/Summary/Keyword: Recovery System

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Development and Application of Risk Recovery Index using Machine Learning Algorithms (기계학습알고리즘을 이용한 위험회복지수의 개발과 활용)

  • Kim, Sun Woong
    • Journal of Information Technology Applications and Management
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    • v.23 no.4
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    • pp.25-39
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    • 2016
  • Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

Recovery Methods in Main Memory DBMS

  • Kim, Jeong-Joon;Kang, Jeong-Jin;Lee, Ki-Young
    • International journal of advanced smart convergence
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    • v.1 no.2
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    • pp.26-29
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    • 2012
  • Recently, to efficiently support the real-time requirements of RTLS( Real Time Location System) services, interest in the main memory DBMS is rising. In the main memory DBMS, because all data can be lost when the system failure happens, the recovery method is very important for the stability of the database. Especially, disk I/O in executing the log and the checkpoint becomes the bottleneck of letting down the total system performance. Therefore, it is urgently necessary to research about the recovery method to reduce disk I/O in the main memory DBMS. Therefore, In this paper, we analyzed existing log techniques and check point techniques and existing main memory DBMSs' recovery techniques for recovery techniques research for main memory DBMS.

Study on Heat Recovery System using Waste Biomass (폐 바이오매스를 이용한 폐열 회수 열교환기에 관한 연구)

  • 이충구;이세균;이계복;이석호;김정현
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.6
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    • pp.514-521
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    • 2004
  • Waste heat recovery system was studied numerically and experimentally. Heat exchanger system was designed specially to obtain the optimum heat exchanging performance. Brushwood biomass was used for the present experimental study. Two biomass heat recovery systems were designed and developed. Polyethylene helical pipe line of 0.03 m (inner diameter) was installed to recover the heat of biomass dump. The fermentation process of biomass dump was maintained for 12 weeks. The inner average temperature of biomass was about 51$^{\circ}C$ for both hot exchanger systems. The current heat recovery system could recover up to 6 ㎉/kg of energy.

Deceleration Method of Munition to used Soft Recovery System for Smart Munition (지능형 포탄의 저 감속 회수장치를 이용한 포탄의 감속방법)

  • Kim, Myoung-Gu;Cho, Chong-Du;Lee, Seung-Su;Yu, Il-Young
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.191-196
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    • 2007
  • With the development of micro electronic circuits and optical equipment, the demand for developing smart munitions with the ability to autonomously search for and attack targets has increased. Since the electronic components within smart munitions are affected by high temperatures, pressure, and impulsive forces upon the combustion of gunpowder, stability and reliability need to be secured for them. Securing those stability and reliability requires soft recovery system which can decelerate smart munitions. A theoretical analysis of flow is performed for the secure recovery of bullets on the basis of Navier-Stokes equation for compressible fluids. The inner pressure on a pressure tube, the speeds of bullets, and the deceleration of munitions are calculated theoretically. Theoretical results are compared with the data from the experiment with soft recovery system set up at the laboratory.

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Design of Direct-Current Fuzzy Controller for Mitigating Commutation Failure in HVDC System

  • Gao, Benfeng;Yuan, Kewei;Dong, Peiyi;Luo, Chao;Zhao, Shuqiang
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1450-1458
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    • 2018
  • Commutation failures can deteriorate the availability of high-voltage direct current (HVDC) links and may lead to outage of the HVDC system. Most commutation failures are caused by voltage reduction due to ac system faults on inverter side. The commutation failure process can be divided into two stages. The first stage, from the occurrence to the clearing of faults, is called 'Deterioration Stage'. The second stage, from the faults clearing to restoring the power system stability, is called 'Recovery Stage'. Based on the analysis of the commutation failure process, this paper proposes a direct-current fuzzy controller including prevention and recovery controller. The prevention controller reduces the direct current to prevent Commutation failures in the 'Deterioration Stage' according to the variation of ac voltage. The recovery controller magnifies the direct current to speed up the recovery of power system in the 'Recovery Stage', based on the recovery of direct voltage. The validity of this proposed fuzzy controller is further proved by simulation with CIGRE HVDC benchmark model in PSCAD/EMTDC. The results show the commutation failures can be mitigated by the proposed direct-current fuzzy controller.

Detection and Recovery of Failure Node in SAN-based Cluster Shared File System $SANique^{TM}$ (SAN 기반 클러스터 공유 파일 시스템 $SANique^{TM}$의 오류 노드 탐지 및 회복 기법)

  • Lee, Kyu-Woong
    • 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.

Examination on Autonomous Recovery Algorithm of Piping System (배관 체계 자율 복구 알고리즘 비교, 분석 및 고찰)

  • Yang, Dae Won;Lee, Jeung-hoon;Shin, Yun-Ho
    • Journal of the Korean Society of Safety
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    • v.36 no.4
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    • pp.1-11
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    • 2021
  • Piping systems comprising pumps and valves are essential in the power plant, oil, and defense industry. Their purpose includes a stable supply of the working fluid or ensuring the target system's safe operation. However, piping system accidents due to leakage of toxic substances, explosions, and natural disasters are prevalent In addition, with the limited maintenance personnel, it becomes difficult to detect, isolate, and reconfigure the damage of the piping system and recover the unaffected area. An autonomous recovery piping system can play a vital role under such circumstances. The autonomous recovery algorithms for the piping system can be divided into low-pressure control algorithms, hydraulic resistance control algorithms, and flow inventory control algorithms. All three methods include autonomous opening/closing logic to isolate damaged areas and recovery the unaffected area of piping systems. However, because each algorithm has its strength and weakness, appropriate application considering the overall design, vital components, and operating conditions is crucial. In this regard, preliminary research on algorithm's working principle, its design procedures, and expected damage scenarios should be accomplished. This study examines the characteristics of algorithms, the design procedure, and working logic. Advantages and disadvantages are also analyzed through simulation results for a simplified piping system.

Global Recovery Management Protocol for Heterogeneous System in Security Environments (보안환경에서 이질형 시스템의 전역 복구 관리 프로토콜)

  • Jeong, Hyun Cheol
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.51-59
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    • 2009
  • Many failures are due to incorrectly programmed transactions and data entry errors. System failure causes the loss or corruption of the contents of volatile storage. Although global processing protects data values to detect direct or indirect information effluence, security environments are very important in the recovery management of heterogeneous systems. Although transaction can't control system fault, the restart for the system can cause information effluence by low bandwith. From various faults, it is not easy to maintain the consistency and security of data. This paper proposes recovery management protocols to assure global multilevel secure one-copy quasi-serializability in security environments of heterogeneous systems with replicated data and proves its correctness. The proposed secure protocols guarantee the reliability and security of system when the system fault is happened.

Failure Recovery in the Linux Cluster File System SANiqueTM (리눅스 클러스터 화일 시스템 SANiqueTM의 오류 회복 기법)

  • Lee, Gyu-Ung
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.359-366
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    • 2001
  • This paper overviews the design of SANique$^{TM}$ -a shred file system for Linux cluster based on SAN environment. SANique$^{TM}$ has the capability of transferring user data from network-attached SAN disks to client applcations directly without the control of centralized file server system. The paper also presents the characteristics of each SANique$^{TM}$ subsystem: CFM(Cluster File Manager), CVM(Cluster Volume Manager), CLM(Cluster Lock Manager), CBM(Cluster Buffer Manager) and CRM(Cluster Recovery Manager). Under the SANique$^{TM}$ design layout, then, the syndrome of '||'&'||'quot;split-brain'||'&'||'quot; in shared file system environments is described and defined. The work first generalizes and illustrates possible situations in each of which a shared file system environment may split into two or more pieces of separate brain. Finally, the work describes the SANique$^{TM}$ approach to the given "split-brain"problem using SAN disk named "split-brain" and develops the overall recovery procedure of shared file systems.

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A Study on Relationship between Recovery Experience and the Burnout among Hospital Nurses (병원간호사의 직무 스트레스 회복경험과 소진과의 관계)

  • Ko, Chung Mee
    • Korean Journal of Occupational Health Nursing
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    • v.21 no.2
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    • pp.87-97
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    • 2012
  • Purpose: This study was to examine the relationship between recovery experience and the burnout among hospital nurses. Methods: A cross-sectional survey design was used. The participants were 281 nurses working at three general hospitals located in Seoul and Gyeonggi Province. The data were collected by convenience sampling using self-reported questionnaires that consisted of general characteristics, burnout, recovery experiences, self-efficacy, social support, job demand and organizational system. The data were analyzed with descriptive statistics, t-test, ANOVA, correlation, and stepwise multiple regression. Results: Stepwise multiple regression showed that organizational system had the greatest impact on hospital nurses' burnout, followed by job demand, self efficacy, position and recovery experience. Conclusion: Recovery experience is found to be a new factor that influences the burnout among hospital nurses. Therefore, further research is needed for confirming that recovery experience influences the burnout of hospital nurses. Also there is a need to develop a program to increase recovery experience from job stress at the organizational level to reduce hospital nurses' burnout.