• 한국환경과학회지
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• 제29권12호
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• pp.1223-1237
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• 2020

This study focused on comparing the meteorological conditions in the Atmospheric Boundary Layer (ABL) on high-event days and non-event days in the Seoul Metropolitan Area (SMA). We utilized observed PM10 and meteorological variables at the surface as well as at the upper heights. The results showed that high-event days were consistently associated with lower wind speed, whereas wind direction showed no particular difference between high-event and non-event days with frequent westerlies and northwesterlies for both cases. During high-event days, the temperature was much warmer than the monthly normal values with a sharp increasing trend, and Relative Humidity (RH) was higher than the monthly normal, especially on high-event days in February. During high-event days in spring, a double inversion layer was present at surface and upper heights. This indicates that stability in the multi-layer is an important indicator of higher PM10 concentrations. Net radiation in spring and winter is also closely associated with higher PM10 concentrations. Strong net radiation resulted in large sensible heat, which in turn facilitated a deeper mixing height with diluted PM10 concentrations; in contrast, PM10 concentrations were higher when sensible heat in spring and winter was very low. We also confirmed that convective and friction velocity was higher on non-event days than on high-event days, and this was especially obvious in spring and winter. This indicated that thermal turbulence was dominant in spring, whereas in winter, mechanical turbulence was dominant over the SMA.

• 한국정보과학회논문지:데이타베이스
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• 제37권6호
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• pp.300-307
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• 2010

웹이 성장함에 따라 데이터처리 기술도 발전하고 있다. 차세대 웹 환경에서는 다양한 유무선 사용자, USN, RFID를 위한 고속, 대용량데이터 처리기술 또한 발전하고 있다. 본 논문에서는 CEP(Complex Event Processing) 엔진을 이용하여 대용량데이터를 처리하는 기술을 제안한다. CEP는 복잡한 이벤트를 처리하는 기술로 CEP 엔진은 다음과 같은 특정이 있다. 첫째 대용량의 이벤트(데이터)를 받는 작업, 둘째 이를 분석하는 작업, 최종적으로 새로운 액션으로 연결시키는 작업으로 나눌 수 있다. 즉 대용량데이터를 수집하고 이벤트들을 분석, 필터링한다. 또한 이벤트 엔진에 미리 등록해 놓은 이벤트와 새로운 이벤트를 패턴매칭하여 데이터를 추출한다. 추출된 결과를 다른 작업의 입력 이벤트로 사용하거나 요청된 이벤트에 대해 실시간으로 응답할 수 있고 유효한 데이터만 데이터베이스에 트리거할 수도 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1385-1402
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• 2019

Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.526-528
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• 2016

EPDW는 Event-Process-Data-Work의 약자로 소프트웨어 아키텍처이다. 이 아키텍처는 Event 지향적인 프로그래밍 아키텍처이다. Event 가 발생하면 Process에서 가공하고 Data로 만들어 Work가 처리하는 기본구조를 가지고 있다. 모든 Event는 EventDivider 흐름이 관리되며 Process는 EventDivider에 등록된다. Work는 하나의 기능단위로써 필요한 controller들과 Process들을 가진다. 이를 통해 Event 가공의 코드의 재사용 및 분산방지가 된다. 그리고 Event 흐름의 단순화와 추적의 용이성을 증대해 디버깅에 이점을 가진다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1428-1432
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• 2007

One of the most important targets of transportation is to transport human and commodities to the destination safely. Railway has low risk, compared with land, ocean and flight route and it assures high security as well as high speed driving, since it runs on regular track. However, train accident may result in tragic accident due to small carelessness, so special event recorder is preferably used in order for clarity of responsibility in case of accident, maintenance of signal device and defect analysis. JRU(Juridical Recorder Unit) for ATC/ATS/ATP can be more advanced event recorder. Event recorder of KTX-I which is running now is installed one by one on each leading car and last car, and operation plan of event recorder in case of single trainset is suggested. But regarding train operation of multi-coupled trainset operation such as KTX-II, more detailed study is required for event recorder revitalization and record data process method. Therefore, this research aims at operation plan used in existing event recorder, and suggests effective operation and management plan of event recorder in multi-coupled trainset such as new High Speed Train.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4307-4325
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• 2016

With the aim of solving the problems of long processing times, high memory consumption and low event throughput in the current processing approaches in out-of-order RFID event streams, an efficient complex event processing method based on INFA-HTS (Improved Nondeterministic Finite Automaton-Hash Table Structure) is presented in this paper. The contribution of this paper lies in the fact that we use INFA and HTS to successfully realize the detection of complex events for out-of-order RFID event streams. Specifically, in our scheme, to detect the disorder of out-of-order event streams, we expand the traditional NFA model into a new INFA model to capture the related RFID primitive events from the out-of-order event stream. To high-efficiently manage the large intermediate capturing results, we use the HTS to store and process them. As a result, these problems in the existing methods can be effectively solved by our scheme. The simulation results of our experiments show that our proposed method in this paper outperforms some of the current general processing approaches used to process out-of-order RFID event streams.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3822-3830
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• 2023

The large-area Compton camera (LACC), featuring significantly high detection sensitivity, was developed for high-speed localization of gamma-ray sources. Due to the high gamma-ray interaction event rate induced by the high sensitivity, however, the multiplexer-based data acquisition system (DAQ) rapidly saturated, leading to deteriorated energy and imaging resolution at event rates higher than 4.7 × 10³ s^-1. In the present study, a new simultaneous multi-channel DAQ was developed to improve the energy and imaging resolution of the LACC even under high event rate conditions (10⁴-10⁶ s^-1). The performance of the DAQ was evaluated with several point sources under different event rate conditions. The results indicated that the new DAQ offers significantly better performance than the existing DAQ over the entire energy and event rate ranges. Especially, the new DAQ showed high energy resolution under very high event rate conditions, i.e., 6.9% and 8.6% (for 662 keV) at 1.3 × 10⁵ and 1.2 × 10⁶ s^-1, respectively. Furthermore, the new DAQ successfully acquired Compton images under those event rates, i.e., imaging resolutions of 13.8° and 19.3° at 8.7 × 10⁴ and 10⁶ s^-1, which correspond to 1.8 and 73 μSv/hr or about 18 and 730 times the background level, respectively.

• 인터넷정보학회논문지
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• 제7권5호
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• pp.13-24
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• 2006

최근 상황인식 기술은 유비쿼터스 환경에서 중요한 이슈로 떠 오르고 있으며, 연구자들에 의해 많은 연구가 이루어 지고 있다. 상황인식 기술은 상황정보를 획득/가공하여 사용자에게 필요한 서비스와 정보를 제공하는 컴퓨터 시스템이다. 상황인식 시스템은 각종 센서로부터 발생하는 낮은 수준의 상황정보를 높은 수준의 상황정보로 변환하여 사용자에게 원하는 서비스를 제공하는 환경을 만들어 준다. 본 논문에서는 물리적인 스마트 공간에 존재하는 각종 센서로부터 얻어진 하위단계(Low level)의 Event driven 센서정보를 온톨로지 기반 상황정보로 모델링 하여 상위단계(High level) 상황정보로 변환하는 상황인식 모델링과 시스템을 제안한다. 또한 변환된 High level 상황정보는 가상공간에서 ECA(Event Condition, Action) 룰에 따라 사용자에게 언제 어디선지 사용자가 필요로 하는 능동적이고 지능적인 서비스를 제공하고, 스마트 오피스 환경에서 발표 도우미 서비스를 구현하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
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• pp.341-347
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• 2009

In high speed railway, event recorder system stores a train speed and the related data for train operation in real time. Using those information, we can analysis the train operation and the reason of train accident. Analysis software gets the stored data from Event Recorder and shows the status of various signals related with train operation. Using it, also we can analysis the train operation before and after the given time. In this paper we propose the analysis software to show and analysis the operation of high speed train. The method of transferring the stored data from Event Recorder into Analysis Software is proposed. We develop the efficient procedure to store the transferred data into analysis system. Also the effective method to show the store data and to analysis them is studied for finding the cause of train accident.

• 대한통합의학회지
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• 제8권2호
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• pp.131-138
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• 2020

Purpose : The purpose of this study was to investigate the effects of the frequency band pass filter on the P300 event-related potential in the working memory. Methods : The subjects were 20 women in their 20s who applied for participation in the experiment. Event-related potentials (ERPs) were elicited using 3-back tasks for the working memory, and were recorded from Fz, Cz, and Pz scalp electrodes. The high-pass filters were set to 0.01, 0.1, and 0.3 Hz for analysis purposes, and the low-pass filters were set to 30 and 15 Hz. The 3-back task was presented for a total of 100 times, among which 30 times were designated for the target stimulation (a matched number) and 70 times for the non-target stimulation (an unmatched number). The temporal interval between each stimulation was set at 1 second, while each time duration was randomly presented between 2 to 4 seconds. ERP were analyzed for the P300 recorded from Fz, Pz and Cz scalp electrodes. Results : Latency and amplitude had no significant interaction effects in both the high- and low-pass filters. For the main effects, the latency and amplitude of the P300 event-related potential had no significant difference in the high-pass filters, but the latency had a significant difference in the low-pass filter of Fz, and the amplitude had a significant difference in the low-pass filter of Pz. Conclusion : The results of this study showed that the less than 0.3 Hz high filters had no effects on the differences between the latency and amplitude of the P300 event-related potential in the working memory. The 30Hz low-pass filter, however, was found to be useful for recording the P300 event-related potential in the working memory.