• 한국대기환경학회지
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• 제22권1호
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• pp.85-97
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• 2006

The PAMS data collected at four sites in Seoul metropolitan area in 2004 were analyzed using the positive matrix factorization (PMF) technique, in order to identify the possible sources and estimate their contributions to ambient VOCs. Ten sources were then resolved at Jeongdong, Bulgwang, Yangpyeong, and Seokmo, including vehicle exhaust, LPG vehicle, petroleum evaporation, coating, solvent, asphalt, LNG, Industry & heating, open burning, and biogenic source. The PMF analysis results showed that vehicle exhaust commonly contributed the largest portion of the predicted total VOCs mass concentration, more than $30\%$ at four sites. The contribution of other resolved sources were significantly different according to the characteristics of site location. In the case of Jeongdong and bulgwang located in urban area, various anthropogenic sources such as coating, solvent, asphalt, residual LPG, and petroleum evaporation contributed about $40\%$ of total VOCs mass. On the other hand, at yangpyeong and Seokmo located in rural and remote area, the portion of these anthropogenic sources was reduced to less than $30\%$ and the contribution of natural sources including open burning and biogenic source clearly observed. These results were considerably corresponding to the emission inventory investigated in this region.

• 대한기계학회논문집A
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• 제34권10호
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• pp.1351-1357
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• 2010

우리나라 주요하천의 수질오염감시를 목적으로 물벼룩을 이용한 생물감시장치가 설치, 운용되고 있다. 기기 목적상 유해물질에 대해 신뢰성 있는 신속한 독성경보를 내릴 수 있어야 하고, 무인원격측정기기이므로 계절별, 연간 하천의 물리적인 변화에도 측정의 신뢰성이 확보되어야 한다. 국내에 운영중인 장비는 물벼룩의 단위시간당 뛰는 횟수(Impulse)를 측정하는 방법과 유영형태를 분석하여 독성지수(Toxicity)로 나타내는 방법이 있다. 두 장비가 동일한 조건에서 운전되었음에도 가동률과 긴급점검횟수가 다르게 나타났으며 원인은 용기 내 기포발생과 압력차이 등 여러 가지가 있다. 본 연구의 목적은 기포와 미시적인 압력의 영향을 감소시켜 측정의 불확실성을 줄이는 것이고, 나아가 생물감시장치가 어떤 환경에 설치되더라도 수질오염감시의 목적을 정상적으로 달성하는 데 기여하는 것이다.

• Smart Structures and Systems
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• 제8권1호
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• pp.119-137
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• 2011

A bio-inspired two-mode structural health monitoring (SHM) system based on the Na$\ddot{i}$ve Bayes (NB) classification method is discussed in this paper. To implement the molecular biology based Deoxyribonucleic acid (DNA) array concept in structural health monitoring, which has been demonstrated to be superior in disease detection, two types of array expression data have been proposed for the development of the SHM algorithm. For the micro-vibration mode, a two-tier auto-regression with exogenous (AR-ARX) process is used to extract the expression array from the recorded structural time history while an ARX process is applied for the analysis of the earthquake mode. The health condition of the structure is then determined using the NB classification method. In addition, the union concept in probability is used to improve the accuracy of the system. To verify the performance and reliability of the SHM algorithm, a downscaled eight-storey steel building located at the shaking table of the National Center for Research on Earthquake Engineering (NCREE) was used as the benchmark structure. The structural response from different damage levels and locations was collected and incorporated in the database to aid the structural health monitoring process. Preliminary verification has demonstrated that the structure health condition can be precisely detected by the proposed algorithm. To implement the developed SHM system in a practical application, a SHM prototype consisting of the input sensing module, the transmission module, and the SHM platform was developed. The vibration data were first measured by the deployed sensor, and subsequently the SHM mode corresponding to the desired excitation is chosen automatically to quickly evaluate the health condition of the structure. Test results from the ambient vibration and shaking table test showed that the condition and location of the benchmark structure damage can be successfully detected by the proposed SHM prototype system, and the information is instantaneously transmitted to a remote server to facilitate real-time monitoring. Implementing the bio-inspired two-mode SHM practically has been successfully demonstrated.

• 한국산학기술학회논문지
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• 제10권4호
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• pp.795-804
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• 2009

디지털 이동통신 서비스의 가입자 정보를 실시간으로 관리하는 HSS(Home Subscriber Server) 시스템은 사용자의 콜처리를 위한 기본 정보뿐만 아니라 사용자 인증과 운영 등에 관한 추가적인 정보를 제어하기 위해 가입자 데이터베이스를 주기억장치에 상주시켜 운영하는 주기억 장치 데이터베이스(main memory database system)를 필요로 한다. 그러나, 신뢰성과 안정성이 중요시되는 HSS-DBS의 경우, 초기 로딩시간이 길고 메모리 손실시 그 영향이 훨씬 크기 때문에 보다 안전한 데이터의 저장 방식과 백업 기법이 필요하다. 본 논문에서는 HSS 시스템의 안전성과 성능을 고려한 효율적인 백업 이중화 기법을 제시하였다. 제안한 쉐도잉 백업 기법을 통해 위치 등록으로 인한 실시간 백업의 과부하를 최소화하고 일정 시간 간격을 두고 지연 회복시킴으로써 오류 발생 시 신속하게 복구할 수 있으며 원격 서버에 실시간으로 백업하는 백업 이중화 기법을 통해 안정적인 시스템 운영을 보장한다.

• 한국멀티미디어학회논문지
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• 제22권11호
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• pp.1215-1222
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• 2019

Recently, people with disabilities also search for and collect information from the web through smart devices, and save collected information on smart devices or take notes. For non-disabled people, various memo applications are provided on the market, so it is more convenient to choose according to their preference. However, existing memo services are limited for use by blind people due to the importance of visual information. The problem with blind people when using smart devices is that the screen is not recognized, so it is not possible to check in which location the menu of the application exists. In addition, it is difficult to input and manipulate text, and systematic file management and control are not possible. Therefore, in this paper, we propose the development of voice memo service that blind people can use only voice and hearing information and can operate menu with Bluetooth remote controller. We will develop a system that includes a comprehensive voice file management function for storing, searching, playing, and deleting files, rather than simply storing voice files.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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• pp.2195-2196
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server. Fourth one was device server. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer. In main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.563-564
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server Fourth one was device solver. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer. In main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this Property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.29-33
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• 2006

The potential impact of past Caribbean tsunamis generated by earthquakes and/or massive submarine slides/slumps, as well as the tsunamigenic potential and population distribution within the Intra-Americas Sea (IAS) was examined to help define the optimal location for coastal sea level gauges intended to serve as elements of a regional tsunami warning system. The goal of this study was to identify the minimum number of sea level gauge locations to aid in tsunami detection and provide the most warning time to the largest number of people. We identified 12 initial, prioritized locations for coastal sea level gauge installation. Our study area approximately encompasses $7^{\circ}N$, $59^{\circ}W$ to $36^{\circ}N$, $98^{\circ}$ W. The results of this systematic approach to assess priority locations for coastal sea level gauges will assist in developing a tsunami warning system (TWS) for the IAS by the National Oceanic and Atmospheric Administration (NOAA) and the Intergovernmental Oceanographic Commission's Regional Sub-Commission for the Caribbean and Adjacent Regions (IOCARIBE-GOOS).

• 한국수자원학회논문집
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• 제47권4호
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• pp.385-396
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• 2014

최근 빈번하게 발생하는 태풍사상은 극심한 홍수 및 바람 재해를 유발 시키고 있다. 이러한 점에서 본 연구에서는 1951년부터 2012년까지 한반도에 내습한 총 197개의 태풍사상을 대상으로 태풍의 발생위치 및 태풍의 궤적을 기준으로 태풍을 범주화 할 수 있는 확률론적 클러스터링 기법을 개발하였다. 모의실험을 통하여 개발된 모형의 적합성을 확인할 수 있었으며, 태풍 경로에 적용이 가능한 방안으로 평가되었다. 1951년부터 2012년까지 한반도 내습한 197개의 태풍사상을 대상으로 확률론적 클러스터링 기법을 적용한 결과 한반도를 내습한 태풍사상은 총 7개의 클러스터로 분류되었으며, 대부분 위도 $10^{\circ}{\sim}20^{\circ}N$, 경도 $120^{\circ}{\sim}150^{\circ}E$ 해수면에서 발생하여 한반도를 향하여 진행하는 것으로 나타났다. 클러스터 B의 경우 약 25.4%의 발생빈도를 가지며, 전선의 방향도 한반도를 직접 향하고 있어 상대적으로 한반도에 영향이 가장 큰 클러스터로 분석되었으며 한반도 전체에 걸쳐서 강한 양(positive)의 강우량 Anomaly를 갖는 것을 확인할 수 있었다.

• 한국ITS학회 논문지
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• 제17권1호
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• pp.114-122
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• 2018

본 논문은 맨홀 아래 지하에 매설된 상수도관의 수압을 효율적으로 측정하기 위하여 무선통신 모듈을 내장한 수압센서(IoT)를 모든 상수도관 밸브에 설치하여 수압을 측정하도록 하였다. 측정한 데이터는 무선 통신으로 스마트폰에 전송하고 스마트폰은 수신한 데이터를 다시 서버로 전송하여 저장하고 관리할 수 있도록 하는 새로운 수압측정 시스템을 제안하였다. 담당자들은 서버에 저장된 수압 데이터를 원격에서 조회하여 상수도관의 누수 여부나 관리지역 내의 수압의 적정성 여부 등을 확인하여 이상 여부를 체크할 수 있도록 함으로써 상수도관의 수압을 효율적으로 관리할 수 있다.