• 한국공간구조학회논문집
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• 제19권1호
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• pp.117-126
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• 2019

Micro-Electro-Mechanical Systems (MEMS) sensors have been widely used in Structural Health Monitoring due to their convenience and lower costs in comparison to conventional sensors. Triggered measurements are relevant in events such as earthquakes because unlike continuous measurements, they only record the structural response once an event happens. This is more cost effective and it makes the data more manageable because only the required measurements from the event are recorded. The most common method of triggering is amplitude triggering. However, lower input amplitudes (less than 0.1g) cannot be triggered by using this method. In this paper, sound triggering was introduced to allow triggered measurements for lower input amplitude values. The performance of the sound triggering and amplitude triggering were compared by a series of shaking-table tests. It was seen that sound-triggering method has a wider frequency (0.5~10Hz) and amplitude (0.01~1.0g) range of measurements. In addition, the sound triggering method performs better than the amplitude triggering method at lower amplitudes. The performance of the amplitude triggering, in terms of the triggering being simultaneous improves at higher input amplitudes.

• 한국음향학회지
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• 제42권5호
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• pp.395-401
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• 2023

음향 이벤트 검출(Sound Event Detection, SED)은 음향 신호에서 관심 있는 음향의 종류와 발생 구간을 검출하는 기술로, 음향 감시 시스템 및 모니터링 시스템 등 다양한 분야에서 활용되고 있다. 최근 음향 신호 분석에 관한 국제 경연 대회(Detection and Classification of Acoustic Scenes and Events, DCASE) Task 4를 통해 다양한 방법이 소개되고 있다. 본 연구는 다양한 영역에서 성능 향상을 이끌고 있는 Dense Convolutional Networks(DenseNet)을 음향 이벤트 검출에 적용하기 위해 설계 변수에 따른 성능 변화를 비교 및 분석한다. 실험에서는 DenseNet with Bottleneck and Compression(DenseNet-BC)와 순환신경망(Recurrent Neural Network, RNN)의 한 종류인 양방향 게이트 순환 유닛(Bidirectional Gated Recurrent Unit, Bi-GRU)을 결합한 DenseRNN 모델을 설계하고, 평균 교사 모델(Mean Teacher Model)을 통해 모델을 학습한다. DCASE task4의 성능 평가 기준에 따라 이벤트 기반 f-score를 바탕으로 설계 변수에 따른 DenseRNN의 성능 변화를 분석한다. 실험 결과에서 DenseRNN의 복잡도가 높을수록 성능이 향상되지만 일정 수준에 도달하면 유사한 성능을 보임을 확인할 수 있다. 또한, 학습과정에서 중도탈락을 적용하지 않는 경우, 모델이 효과적으로 학습됨을 확인할 수 있다.

• Journal of Information Processing Systems
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• 제13권3호
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• pp.590-598
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• 2017

Recently, there has been an increase in the number of hazardous events, such as fire accidents. Monitoring systems that rely on human resources depend on people; hence, the performance of the system can be degraded when human operators are fatigued or tensed. It is easy to use fire alarm boxes; however, these are frequently activated by external factors such as temperature and humidity. We propose an approach to fire detection using an image processing technique. In this paper, we propose a fire detection method using multichannel information and gray level co-occurrence matrix (GLCM) image features. Multi-channels consist of RGB, YCbCr, and HSV color spaces. The flame color and smoke texture information are used to detect the flames and smoke, respectively. The experimental results show that the proposed method performs better than the previous method in terms of accuracy of fire detection.

• 한국멀티미디어학회논문지
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• 제17권6호
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• pp.681-686
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• 2014

In this paper, we propose a traffic adaptive mechanism that controls the receiver's wakeup periods based on the generated traffic amounts. The proposed control mechanism is designed for military, wild animal monitoring, and forest fire surveillance applications. In these environments, a low-rate data transmission is usually required between sensor nodes. However, continuous data is generated when events occur. Therefore, legacy mechanisms are ineffective for these applications. Our control mechanism showed a better performance in energy efficiency compared to the RI-MAC owing to the elimination of the sender node's idle listening.

• Smart Structures and Systems
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• 제11권2호
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• pp.199-215
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• 2013

During the service life of a structure, design complications and unexpected events may induce unforeseen vibrations. These vibrations can be generated by malfunctioning machinery or machines that are modified or placed without considering the original structural design because of a change in the intended use of the structure. Significant vibrations occurred at a natural gas plant cooling structure during its operation due to cavitation effect within the hydraulic system. This study presents findings obtained from the in-situ vibration measurements and following finite-element analyses of the cooling structure. Comments are made on the updated performance level and damage state of the structure using the results of these measurements and corresponding numerical analyses. An attempt was also made to assess the applicability of traditional displacement-based vulnerability estimation methods in the health monitoring of structures under vibrations with a character different from those due to seismic excitations.

• 선박안전
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• 통권27호
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• pp.25-36
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• 2009

Despite the development of the various navigational equipment, such as GPS, ARPA, ECDIS, AIS, VDR, and hull monitoring system, marine accidents are still a leading concern in shipping industry. For all accidents over the reporting period, approximately 60 to 80% of the accidents was involved in human error. It means that in each case, some events which were associated with human error initiated an accident, and those failures of human performance led to the failure to avoid an accident or mitigate it's consequences. However, the improvement and the effort on the maritime human error are still limited in an elementary step. The objective of this paper is to propose a modified Human Factors Analysis and Classification System (HFACS) model in order to analyse the collision accidents of tug-barge ship.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1999년도 가을 학술발표논문집 Vol.26 No.2 (3)
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• pp.783-785
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• 1999

Distributed Object Systems are very complex. So, it is difficult to see overall relationship among objects participated in the system. Moreover the performance tuning or maintenance are also important issues of it. So, it needs a way to view the system with low-cost and an efficient method. One of solutions is a visualization tool or system. In this paper, we proposed a tracing facility for Java-based distributed object system, especially RM(Remote Method Invocation). Our up-coming visualization system will use two phase hybrid post-mortem/on-the-fly technique. To support it, the fundamental tracing part must have some flexible and dynamic mechanism. The main idea of our tracing technique is the Plug-in Sensor Model(PSM). The relationship between tracing (monitoring) part and visualization part is closely related. So, we considered the appropriate factors for visualization. We developed 'Traced RMI(TRMI)'. For more precise visualization of a working system, the casuality of events has to be preserved. TRMI can support global event ordering.

• 한국수자원학회논문집
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• 제53권6호
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• pp.409-416
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• 2020

최근 증가하고 있는 이상기후현상으로 인한 사회·경제적 피해를 줄이기 위해 이상기후 감시가 필수적이다. 이 연구의 목적은 Noah 3.3 지면모형으로 추정한 토양수분자료를 활용하여 준실시간 주간 근역층 토양수분지수(Soil Moisture Index, SMI)를 산정하는데 있다. 동아시아영역(15-60°N, 70-150°E)에 대해 Noah 3.3 지면모형의 적용성을 평가하기 위해 양쯔강유역을 선정하였으며, 해당 유역에서 증발산과 현열을 FluxNet, FluxCom, Global Land Evaporation Amsterdam Model (GLEAM), ERA-5, Generalized Complementary Relationship (GCR)자료를 이용하여 비교·평가하였다. 양쯔강 유역에서 Noah 지면모형으로 추정한 증발산은 FluxNet, FluxCom, GLEAM, ERA-5, GCR에 의한 증발산과 0.96이상의 매우 높은 결정계수의 값을 보였으며, 현열의 경우에는 FluxNet 현열 자료와 0.71의 결정계수로 증발산 보다 다소 낮은 값을 보였다. 주간 근역층 SMI 시계열로부터 2019년 7월부터 10월까지 중국의 동부지역에서 극한가뭄(Extreme drought)이 확장되는 현상이 관측되었다. 월별 극한가뭄 발생일수의 트렌드 분석결과, 우리나라의 경우 봄철에는 극한가뭄이 지난 20년 동안 대체로 감소하는 경향이 나타났으나, 가을철에는 한반도 전역에 걸쳐 증가하는 경향이 나타났다. 이 연구가 가뭄의 시·공간적 지속성 및 확장성과 최근 가뭄발생의 경향성 등을 종합적으로 분석하고 판단하여, 가뭄으로 인한 사회·경제적 피해를 줄이기 위한 적절한 대책 마련에 활용성이 클 것으로 기대된다.

• Smart Structures and Systems
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• 제25권1호
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• pp.111-122
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• 2020

Researchers up to date have introduced several Structural Health Monitoring (SHM) techniques with varying advantages and drawbacks for each. Satellite positioning systems (GPS, GLONASS and GALILEO) based techniques proved to be promising, especially for high natural period structures. Particularly, the GPS has proved sufficient performance and reasonable accuracy in tracking real time dynamic displacements of flexible structures independent of atmospheric conditions, temperature variations and visibility of the monitored object. Tall structures are particularly sensitive to oscillations produced by different sources of dynamic actions; such as typhoons. Wind forces induce in the structure both longitudinal and perpendicular displacements with respect to the wind direction, resulting in torsional effects, which are usually more complex to be detected. To efficiently track the horizontal rotations of the in-plane sections of such flexible structures, two main issues have to be considered: a suitable sensor topology (i.e., location, installation, and combination of sensors), and the methodology used to process the data recorded by sensors. This paper reports the contributions of the measurements recorded from dual frequency GPS receivers and uni-axial accelerometers in a full-scale experimental campaign. The Canton tower in Guangzhou-China is the case study of this research, which is instrumented with a long-term structural health monitoring system deploying both accelerometers and GPS receivers. The elaboration of combining the obtained rather long records provided by these two types of sensors in detecting the torsional behavior of the tower under ambient vibration condition and during strong wind events is discussed in this paper. Results confirmed the reliability of GPS receivers in obtaining the dynamic characteristics of the system, and its ability to capture the torsional response of the tower when used alone or when they are combined with accelerometers integrated data.

• 한국습지학회지
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• 제18권1호
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• pp.10-15
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• 2016

빗물정원은 강우유출수를 현장에서 관리하는 LID 기술이며 보통 유역면적의 1% 이내의 면적에 적용된다. 본 연구는 지붕 강우유출수를 처리하는 빗물정원의 환경적 효과를 평가하기 위하여 수행되었으며, 강우시 모니터링은 2012년 3월부터 2014년 8월까지 총 19개의 강우사상에 대해 수행되었다. 19개의 강우사상 중에서 빗물정원에 유입된 강우유입수가 유출된 경우는 약 32%로 나타났으며, 이 경우 평균 강우량은 25mm으로 나타났다. 모니터링 결과 빗물정원은 강우시 첨두 유출율을 낮추고 지연시킴으로써 수문학적 물순환 특성을 개선시키는 것으로 나타났다. 또한 빗물정원은 강우량 25mm 이하의 강우유출수의 대부분을 저류 및 침투시킴으로써 지붕에서 유출되는 비점오염물질 저감에 크게 기여하는 것으로 평가되었다. 빗물정원은 물순환 및 비점오염물질 저감과 더불어 경관성을 제공함으로써 시민들의 심미적 효과에 기여하는 것으로 평가되었다. 본 연구에서 수행된 결과는 향후 빗물정원의 설계인자로 활용 가능하다.