• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2007년도 공동학술대회 논문집
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• pp.241-244
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• 2007

Cement-grouts are injected into limestone cavities beneath the road in the project area, in order to improve strength and reduce permeability; the extent to which grout has penetrated in cavities need to be monitored in order to determined effectiveness of cement-grout. Geophysical approaches, offer great potential for monitoring the grout injection process in a fast and cost-effective way as well as showing whether the grout has successfully achieved the target. This paper presents the ability of surface electrical resistivity to investigate the verification of the grout placement. In order to image the cement-grout, time-lapse surface electrical resistivity surveys were conducted to compare electrical resistivity images before and after injection. Cement-grout was imaged as anomalies exhibiting low resistivity than the surrounding rocks. In accordance with field monitoring, laboratory study was also designed to monitor the resistivity changes of cement-grout specimens with time-lapse. Time-lapse laboratory measurements indicated that electrical methods are good tool to identify the grouted zone. Pre-and post grouting electrical images showed significant changes in subsurface resistivity at grouted zone. The study showed that electrical resistivity imaging technology can be a useful tool for detecting and evaluating changes in subsurface resistivity due to the injection of the grout.

• 한국철도학회논문집
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• 제14권6호
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• pp.484-488
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• 2011

해외 철도 선진국들은 고속열차의 독자적인 설계능력, 시험평가체계와 평가기술을 보유하고 있다. 국내에서도 열차의 성능을 평가하기 위한 선진화된 계측기술 및 시스템 개발이 필요하다. 본 연구는 400km/h급 동력분산식 차세대고속열차 개발의 중요한 요소인 차량시스템 및 부품의 성능과 안전성 및 신뢰성 검증을 종합적이고 효율적으로 평가하기 위한 종합계측시스템 개발에 대한 연구이다. 종합계측시스템은 차량계측장치, 팬터계측장치 및 영상장치 등으로 구성되며, 계측시험에 대한 총괄 모니터링을 위해 종합계측실을 구성하였다. 본 연구는 향후 열차의 성능평가기술 향상에 이바지 할 것으로 판단된다.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.17-24
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• 2017

In recent digital broadcasting, up to 250 channels are multiplexed and transmitted. The channel transmission is made in the form of MPEG-2 Transport Stream (TS) and transmits one channel (Video, Audio). In order to check if many broadcast channels are transmitted normally, in multi-channel multi-view system, ability of real-time monitoring is required. In order to monitor efficient multi-channel, a distributed system in which functions and load are distributed should be implemented. In the past, we used an inefficient system that gave all of the functionality to a piece of hardware, which limited the channel acceptance and required a lot of resources. In this paper, we implemented a distributed multi-view system which can reduce resources and monitor them economically through efficient function and load balancing. It is able to implement efficient system by taking charge of decoding, resizing and encoding function in specific server and viewer function in separate server. Through this system, the system was stabilized, the investment cost was reduced by 19.7%, and the wall monitor area was reduced by 52.6%. Experimental results show that efficient real-time channel monitoring for multi-channel digital broadcasting is possible.

• 한국통신학회논문지
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• 제28권8A호
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• pp.657-662
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• 2003

광성능을 모니터하기 위해 필요한 것이 OPM(optical performance monitoring module)이다. OPM에서 가장 중요한 것은 광 신호의 파장을 측정하는 것이다. 기존에는 pilot tone을 사용하였으므로 파장값을 얻기가 어려웠지만, 그후 AWG(arrayed waveguide grating), AOTF (acousto optic tuneable filter) 등을 사용하여 다채널 신호에 대한 파장과 전송 품질을 모니터하게 되었다. 본 논문에서는 일반적으로 광 분해능이 우수하다고 평가되는 FFP-TF(fiber fabry perot tuneable filter)를 채택하였으며, FFP-TF를 사용하기 때문에 필요한 기준파장의 설정을 위하여 광섬유격자(FBG : fiber bragg grating)를 사용하였다.

• 산업경영시스템학회지
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• 제44권4호
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• pp.169-176
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• 2021

Maritime monitoring requirements have been beyond human operators capabilities due to the broadness of the coverage area and the variety of monitoring activities, e.g. illegal migration, or security threats by foreign warships. Abnormal vessel movement can be defined as an unreasonable movement deviation from the usual trajectory, speed, or other traffic parameters. Detection of the abnormal vessel movement requires the operators not only to pay short-term attention but also to have long-term trajectory trace ability. Recent advances in deep learning have shown the potential of deep learning techniques to discover hidden and more complex relations that often lie in low dimensional latent spaces. In this paper, we propose a deep autoencoder-based clustering model for automatic detection of vessel movement anomaly to assist monitoring operators to take actions on the vessel for more investigation. We first generate gridded trajectory images by mapping the raw vessel trajectories into two dimensional matrix. Based on the gridded image input, we test the proposed model along with the other deep autoencoder-based models for the abnormal trajectory data generated through rotation and speed variation from normal trajectories. We show that the proposed model improves detection accuracy for the generated abnormal trajectories compared to the other models.

• 대한임베디드공학회논문지
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• 제17권1호
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• pp.25-32
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• 2022

IR-UWB radar has been regarded as the most promising technology for non-contact respiration and heartbeat monitoring because of its ability of detecting slight motion even in submillimeter range. Measuring heart rate is most challenging since the chest movement by heartbeat is quite subtle and easily interfered with by a random body motion or background noise. Additionally, periodic sampling can be limited by the performance of computer that handles the radar signals. In this paper, we deploy Lomb-Scargle periodogram method that estimates heart rate even with irregularly sampled data and uneven signal amplitude. Lomb-Scargle periodogram is known as a method for finding periodicity in irregularly-sampled and noisy data set. We also implement a motion detection scheme in order to make the heart rate estimation pause when a random motion is detected. Our scheme is implemented using Novelda's X4M03 radar development kit and its corresponding drivers and Python packages. Experimental results show that the estimation with Lomb-Scargle periodogram yield more accurate heart rate than the method of measuring peak-to-peak distance.

• Korean Journal of Radiology
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• 제23권3호
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• pp.308-321
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• 2022

Transabdominal ultrasound (TAUS) is useful in all aspects of lesion screening, monitoring activity, or treating/diagnosing any related complications of inflammatory bowel disease. Its ability to screen or diagnose complications is almost the same as that of other methods, such as CT or MRI. Moreover, its noninvasiveness makes it a first-line examination method. A TAUS image depicting ulcerative colitis will show large intestinal wall thickening that is continuous from the rectum, which is mainly due to mucosal layer thickening, while for Crohn's disease, a TAUS image is characterized by a diversity in the areas affected, distribution, and layer structure. Indicators of activity monitoring include wall thickness, wall structure, and vascular tests that use Doppler ultrasound or contrast agents. While all of these have been reported to be useful, at this time, no single parameter has been established as superior to others; therefore, a comprehensive evaluation of these parameters is justified. In addition, evaluating the elasticity of lesions using elastography is particularly useful for distinguishing between fibrous and inflammatory stenoses. However, the lack of objectivity is the biggest drawback of using ultrasound. Standardizing and popularizing the ultrasound process will be necessary, including scanning methods, equipment settings, and image analysis.

• Journal of Ecology and Environment
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• 제48권3호
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• pp.395-404
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• 2024

Background: In this study, citizen scientists gathered survey data by monitoring inland wetlands, recognized as carbon sinks, and verified the accuracy of the data for incorporation into ecosystem management policies. Results: In October 2022, citizen scientists conducted surveys on three taxonomical groups (plants, mammals, terrestrial insects) in three wetland protection areas. After capturing photographs with location information, these images were uploaded to a national ecological information bank (EcoBank) managed in Korea. The information collected by citizen scientists underwent cross-validation through two expert methods, involving ecology field experts. First, experts conducted a survey of invasive alien plants in the designated areas and compared their findings with those of citizen scientists. The choice of survey locations by citizen scientists was influenced by their proximity to their residences. Second, an expert scrutinized the accuracy of species names collected and uploaded to EcoBank by citizen scientists, presenting their findings. The classification accuracy for species names was 98.8% for vegetation (n = 83), 21.6% for terrestrial insects (n = 21), and 66.7% for mammals (n = 8). These results indicate that citizen scientists may lack detailed classification ability at the species level. Conclusions: Moving forward, it will be imperative to offer diverse forms of education to strengthen the capabilities of the citizen scientists, including sharing wetland survey results to enhance expertise in species identification, creating and distributing educational materials, and providing on-site education through professional surveyors.

• 한국정보전자통신기술학회논문지
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• 제11권1호
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• pp.82-88
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• 2018

기존의 원격 화재 모니터링 시스템은 화재 현장의 영상 정보를 실시간으로 확인 할 수 있는 기능이 충분하지 않아 화재 발생 시 실제 상황을 면밀히 파악하여 대처하는데 어려움이 있었다. 이러한 문제를 해결하기 위하여 본 논문에서는 RTSP 모듈을 이용한 원격 화재 영상 모니터링 시스템 설계 방안을 제안한다. 화재 현장을 실시간으로 문자와 경보음 및 영상 정보를 확인하기 위한 장치로서 RTSP 모듈, 전용서버와 클라이언트 그리고 원격 화재 모니터링 시스템으로 구성한다. 이동형로봇 등에 부착된 카메라에서 송수신하는 영상을 Wi­Fi를 이용하여 RTSP 기능이 포함된 서버 및 클라이언트 시스템과 연동한다. 설계한 실시간 동영상의 수신이 가능한 일체형 원격 화재 영상 모니터링 시스템을 구현하고 시험을 통하여 정상적으로 동영상이 수신됨을 확인 하였다.

• Smart Structures and Systems
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• 제14권5호
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• pp.811-830
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• 2014

A numerical study has been carried out to simulate an innovative monitoring procedure to detect and localize damage in reinforced concrete beams retrofitted with carbon fiber reinforced polymer (CFRP) unidirectional laminates. The main novelty of the present simulation is its ability to conduct the electromechanical admittance monitoring technique by considerably compressing the amount of data required for damage detection and localization. A FEM simulation of electromechanical admittance-based sensing technique was employed by applying lead zirconate titanate (PZT) transducers to acquire impedance spectrum signatures. Response surface methodology (RSM) is finally adopted as a tool for solving inverse problems to estimate the location and size of damaged areas from the relationship between damage and electromechanical admittance changes computed at PZT transducer surfaces. This statistical metamodel technique allows polynomial models to be produced without requiring complicated modeling or numerous data sets after the generation of damage, leading to considerably lower cost of creating diagnostic database. Finally, a numerical example is carried out regarding a steel-reinforced concrete (RC) beam model monotonically loaded up to its failure which is also retrofitted by a CFRP laminate to verify the validity of the present metamodeling monitoring technique. The load-carrying capacity of concrete is predicted in the present paper by utilizing an Ottosen-type failure surface in order to better take into account the passive confinement behavior of retrofitted concrete material under the application of FRP laminate.