• 한국항공운항학회지
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• 제23권4호
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• pp.102-108
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• 2015

According to various researches, one of main causes of flight accidents is influence of human factors. It is important to collect and analyze event data in advance to minimize and prevent human errors by developing safety checklist. As a result international aviation industry developed Flight Operations Quality Assurance for commercial airliners, and, upon its proven effectiveness, it is now highly recommended to adopt for helicopter operations. Consequently, S government organization instituted Helicopter Flight Operations Quality Assurance system in 2012. Hence, this study conducted regression analysis of S organization's flight event frequency and applied ICAO SMS Matrix to categorize the severity of the events according to international standards. Based on the analysis, this research derived fundamental checklist factors for helicopter, which can be a proactive measure for safe operation.

• Food Science and Biotechnology
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• 제18권5호
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• pp.1118-1123
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• 2009

Event-specific real-time polymerase chain reaction (PCR) detection method for genetically modified (GM) maize MIR604 was developed based on integration junction sequences between the host plant genome and the integrated transgene. In this study, 2 primer pairs and probes were designed for specific amplification of 100 and 111 bp DNA fragments from the zSSIIb gene (the maize endogenous reference gene) and MIR604. The quantitative method was validated using 3 certified reference materials (CRMs) with levels of 0.1, 1, and 10% MIR604. The method was also assayed with 14 different plants and other GM maize. No amplification signal was observed in real-time PCR assays with any of the species tested other than MIR604 maize. As a result, the bias from the true value and the relative deviation for MIR604 was within the range from 0 to 9%. Precision, expressed as relative standard deviation (RSD), varied from 2.7 to 10% for MIR604. Limits of detections (LODs) of qualitative and quantitative methods were all 0.1%. These results indicated that the event-specific quantitative PCR detection system for MIR604 is accurate and useful.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• 안보군사학연구
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• 통권3호
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• pp.197-242
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• 2005

Active catalog is a kind of digital content that enables consumers to test the functions and features of products from their PCs as if they were using it in real life, by simulating the actions and responses of the product. This new type of interactive digital content can be used extensively to make sales personnel training manuals, sales tools, user manuals and user trouble shooting documents. With active catalogs, companies will be able to compare different designs, show actions according to different functions, and evaluate user reaction to new products without having to produce a single physical prototype or mock-up. At the same time, consumers will be able to understand and 'operate' the product and make well-informed purchase decisions. In this paper, we present a visual event-driven modeling tool, PlayMo, for creating active catalogs, analyze the advantages of using PlayMo, describe the event-driven method used by PlayMo and also introduce two enhanced characteristics of the Event Flow Chart with which the events in PlayMo are structured. Interactive digital content by using the PlayMo3D makes easy, simple and effective design for e-learning, e-catalogue, e-marketing/sales, e-prototyping, customer support, etc. Through its application-ready 3D function visualization solution, engineers and designers can rapidly turn a CAD design model into a 3D interactive virtual product, and the effective function prototyping job can be also completed within a minute.

• 한국지능시스템학회논문지
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• 제19권2호
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• pp.197-205
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• 2009

미래 디지털 환경에서 에너지 관리 시스템은 예기치 못한 정전이나 과부하 같은 응급 상황 이벤트들이 발생하면 이를 실시간으로 대처할 수 있어야 하고, 원격 검침과 같은 소비자 서비스 이벤트들도 신속하게 제공되어야 한다. 따라서 다양한 에너지 이벤트 정보들을 실시 간으로 전달할 수 있는 단순하면서 장치 독립적인 정보 교환 모델이 필요하다. 이에 본 논문에서는 XML을 기반으로 객체 지향 모델링을 사용하여 장치와 이벤트 모델링을 분리한 esXML을 개발하였다. 실험 결과 독립적이고 효율적으로 정보 교환을 할 수 있었다.

• Journal of information and communication convergence engineering
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• 제5권3호
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• pp.233-238
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• 2007

An approach to identify Chinese event types is proposed in this paper which combines a good feature selection policy and a Maximum Entropy (ME) model. The approach not only effectively alleviates the problem that classifier performs poorly on the small and difficult types, but improve overall performance. Experiments on the ACE2005 corpus show that performance is satisfying with the 83.5% macro - average F measure. The main characters and ideas of the approach are: (1) Optimal feature set is built for each type according to local feature selection, which fully ensures the performance of each type. (2) Positive and negative features are explicitly discriminated and combined by using one - sided metrics, which makes use of both features' advantages. (3) Wrapper methods are used to search new features and evaluate the various feature subsets to obtain the optimal feature subset.

• 한국ITS학회 논문지
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• 제13권3호
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• pp.1-9
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• 2014

본 연구는 대형 이벤트가 발생하였을 때 신속하고 정확한 교통정책을 수립할 수 있도록 대형 이벤트 대응형 통합교통분석 시스템을 개발하는 데 목적이 있다. 교통분석 시스템 사례조사를 기초로 통합교통분석 시스템의 요건을 정의하고 개발방향을 수립하였다. 데이터 웨어하우스 (data warehouse) 구축을 위해 신속하고 정확한 교통정책 수립이 요구되는 대형 이벤트를 선정하고 데이터를 수집하였다. 수집된 대형 이벤트 데이터와 교통 데이터를 통합하여 데이터 웨어하우스와 주제별 데이터 마트 (data mart)를 구축하였다. 이용자가 적시에 의사결정을 할 수 있도록 비즈니스 인텔리전스(business intelligence) 시스템 화면을 설계하고 개발하였다.

• Journal of Information Processing Systems
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• 제6권4호
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• pp.609-620
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• 2010

In order to provide a tailored education for learners within the ubiquitous environment, it is critical to undertake an analysis of the learning activities of learners. For this purpose, SCORM (Sharable Contents Object Reference Model), IMS LD (Instructional Management System Learning Design) and other standards provide learning design support functions, such as, progress checks. However, in order to apply these types of standards, contents packaging is required, and due to the complicated standard dimensions, the facilitation level is lower than the work volume when developing the contents and this requires additional work when revision becomes necessary. In addition, since the learning results are managed by the server there is the problem of the OS being unable to save data when the network is cut off. In this study, a system is realized to manage the actions of learners through the event interception of a web-browser by using event hooking. Through this technique, all HTMLbased contents can be facilitated again without additional work and saving and analysis of learning results are available to improve the problems following the application of standards. Furthermore, the ubiquitous learning environment can be supported by tracking down learning results when the network is cut off.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권5호
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• pp.245-256
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• 2017

본 논문은 구조화된 체크리스트로부터 임베디드 시스템 테스팅을 위한 테스트 스크립트를 쉽게 생성할 수 있는 방법을 제안한다. 제안하는 방법은 체크리스트를 이벤트(Event), 컴포넌트(Component), 입력 명령어(Command) 사전을 기반으로 구성하고, 사전으로부터 계층적으로 테스트 스크립트를 생성한다. 계층 구조로 임베디드 시스템의 물리적 입력 계층이 상위 계층의 컴포넌트 및 이벤트 계층에서 추상화되어 복잡한 시스템 입력 정보를 사용하지 않고도 테스트 스크립트를 생성할 수 있다. 비슷한 종류의 입출력 정보를 가지는 임베디드 시스템을 테스트하기 위한 테스트 스크립트 생성은 재사용성이 높은 사전을 이용하여 매우 쉽게 할 수 있다. 제안하는 방법의 유용성은 실험을 통해 보인다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.408-411
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• 2017

이 논문은 스마트축사 환경에서의 센서 데이터를 GS1 표준 기반의 EPCIS 이벤트 스키마 설계를 통해 운용하는 방법을 다룬다. 스마트축사 환경에서 사용되는 센서들의 종류를 정의하고, 이러한 센서 정보를 운용하기 위한 GS1 표준 식별자, 표준 이벤트/마스터데이터 구조, 표준 인터페이스로 정보를 설명하며, 스마트축사의 다양한 센서 정보를 저장/공유하는 스키마의 구조를 정의한다.