• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11B
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• pp.1624-1630
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• 2010

This paper proposes a method and its implementation for searching, converting, and delivering composite events and actions in the U-City Integrated Management Platform to process them efficiently through allocation and collaboration between the platform and u-services. The purpose of this method is to, when a composite event occurs, execute prompt and correct measures to reduce the damage caused by the event and prevent its spread. The proposed method also helps to simplify the complexity of corresponding business processes by modifying composite events and actions that are frequently added, delete, and revised, and delivering them to u-service systems.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.5 no.2
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• pp.40-44
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• 2009

In this study, Event Corrective Action Supporting System (ECAS) is developed for the accident evaluation in nuclear power plant. The ECAS system can be used in supporting regulator and/or operator under event situation in nuclear power plants. The ECAS system consists of 5 modules including failure location module, failure analysis module, failure integrity evaluation module, system vulnerability evaluation module, and reporting and operating experience feedback module. The ECAS system will be used as sub module of Knowledge-Based Event Evaluation Network (K-EvENT) which is developing for the against the accident in nuclear power plants.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.7-13
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• 2017

Many systems rely on reliable timestamps to determine the time of a particular action or event. This is especially true in digital investigations where investigators are attempting to determine when a suspect actually committed an action. The challenge, however, is that objects are not updated at the exact moment that an event occurs, but within some time-span after the actual event. In this work we define a simple model of digital systems with objects that have associated timestamps. The model is used to predict object update patterns for objects with associated timestamps, and make predictions about these update time-spans. Through empirical studies of digital systems, we show that timestamp update patterns are not instantaneous. We then provide a method for calculating the distribution of timestamp updates on a particular system to determine more accurate action instance times.

• International Journal of Naval Architecture and Ocean Engineering
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• v.8 no.1
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• pp.83-101
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• 2016

This paper suggests an event-based scenario manager capable of creating and editing a scenario for shipbuilding process simulation based on multibody dynamics. To configure various situation in shipyards and easily connect with multibody dynamics, the proposed method has two main concepts: an Actor and an Action List. The Actor represents the anatomic unit of action in the multibody dynamics and can be connected to a specific component of the dynamics kernel such as the body and joint. The user can make a scenario up by combining the actors. The Action List contains information for arranging and executing the actors. Since the shipbuilding process is a kind of event-based sequence, all simulation models were configured using Discrete EVent System Specification (DEVS) formalism. The proposed method was applied to simulations of various operations in shipyards such as lifting and erection of a block and heavy load lifting operation using multiple cranes.

• Quality Improvement in Health Care
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• v.19 no.2
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• pp.50-64
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• 2013

Objectives : Suicide is a serious sentinel event in healthcare organization. Suicide and suicidal attempt are fatal and long lasting mental and physical damage to themselves, family, and medical staffs. To develope the system to prevent suicidal accident in hospital, we reviewed and analysed one case of suicidal sentinel event. Methods: The risks of suicidal sentinel event were evaluated and analysed through the root cause analysis and failure mode effects analysis. Result: We found several root causes such as initial assessment of oldest patient and security issues. Couple of action plans to fix the problems were done immediately. According to failure mode, we evaluate the risk priority number to modify the action plans. Conclusion: To reduce the risk of sentinel events, we reviewed the suicidal event and established the new system and action plan to prevent sentinel events.

• Journal of the Korean Society of Safety
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• v.27 no.5
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• pp.229-234
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• 2012

Operator's action time is evaluated from MAAP4 analysis used in conventional probabilistic safety assessment(PSA) of a nuclear power plant. MAAP4 code which was developed for severe accident analysis is too conservative to perform a realistic PSA. A best-estimate code such as RELAP5/MOD3, MARS has been used to reduce the conservatism of thermal hydraulic analysis. In this study, operator's action time of core cooling recovery operation is evaluated by using the MARS code, which its Fussell-Vessely(F-V) value was evaluated as highly important in a small break loss of coolant(SBLOCA) event and loss of component cooling water(LOCCW) event in previous PSA. The main conclusions were elicited : (1) MARS analysis provides larger time window for operator's action time than MAAP4 analysis and gives the more realistic time window in PSA (2) Sufficient operator's action time can reduce human error probability and core damage frequency in PSA.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.659-661
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• 1998

다목적위성 관제 시스템의 한 부분만 위성운용 서브시스템의 실시간 처리 성능을 분석하기 위한 알고리즘과 이를 구현한 프로그램이 개발되었다. 이 프로그램은 위성운용 서브시스템에서 발생되는 event들과 이에 대한 response들의 속성에 관한 파라미터 값이 입력되었을 때, 각 event의 반응 시간과 스케줄 가능성을 계산하고 스케줄된 event들을 시각화한다. 실험 결과, event의 blocking delay, 주기 및 첫 action의 우선 순위가 해당 event 또는 다른 event의 반응 시간에 많은 영향을 준다는 것이 밝혀졌다.

• Journal of Internet Computing and Services
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• v.7 no.5
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• pp.13-24
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• 2006

Context aware computing is an emerging paradigm to achieve ubiquitous computing environments by enabling computer systems to understand their situational contexts. A context aware system uses context to provide relevant information and services to the user depending on the user's task. In this paper, we propose an ontology based context aware modeling methodology that transmits low level contexts acquired by directly accessing various sensors in the physical environments to high level contexts. With these high level contexts, context aware application can provides proactive and intelligent services using ECA (Event Condition Action) rules. We implemented a presentation service in smart office environment.

• Convergence Security Journal
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• v.20 no.5
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• pp.27-32
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• 2020

The Windows Event Log is a Log that defines the overall behavior of the system, and these files contain data that can detect various user behaviors and signs of anomalies. However, since the Event Log is generated for each action, it takes a considerable amount of time to analyze the log. Therefore, in this study, we designed and implemented an XML-based Event Log analysis tool based on the main Event Log list of "Spotting the Adversary with Windows Event Log Monitoring" presented at the NSA.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.51-57
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• 2003

In operating distributed systems, proactive management is one of the major concerns for better quality of service and future capacity planning. In order to handle this management problem effectively, it is necessary to analyze performances of the distributed system and events generated by components in the system. This paper provides a rule-based event parsing engine for proactive management. Our event parsing engine uses object hooking-based and event-token approaches. The object hooking-based approach prepares new conditions and actions in Java classes and allows dynamically exchange them as hook objects in run time. The event-token approach allows the event parsing engine consider a proper sequence and relationship among events as an event token to trigger an action. We analyze the performance of our event parsing engine with two different implementations of rule structure; one is table-based and the other is tree-based.