• Journal of Korean Tunnelling and Underground Space Association
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• v.7 no.4
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• pp.323-333
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• 2005

Recently the fire is happening at the tunnel and underground - structure internationally. We are socially the economy the actual circumstances which serious loss is happening due to an fire occurrence when fire happened which is closed like tunnel and underground - structure, the collapse from the burglar degradation of strength of tunnel concrete lining and human life damage happen. It causes big problem while the long time disconnects a traffic network. While the fire happened in this research at the tunnel, the paper construct a basis data to deduce the specification regulation about stability of tunnel concrete lining. In this paper, the experiment was carried out for the prevention of explosive spalling of tunnel to use a reinforced Polypropylene concrete which mixes a Polypropylene which are known for the thing by being efficient at a protect of explosive spalling of the concrete. According to the firproof test result of reinforced Polypropylene admixture mortar, Polypropylene admixture of prevention of explosive spalling analyzed 0.2%-0.25%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.827-832
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• 2002

The development of dedicated network management system is essential to meet the following conditions: the system must run the configuring and repair processing for the dedicated communication network, and can manage new next generation data dedicated communication network of various types. In general it is effective that the system is consisted of decentralized module to be accessible for business logic and datum to remote area. To solve these problems, a method is to use object-oriented design techniques. That is, it is to abstract reusability objects and make component module using the abstracted objects. In this paper, we propose a management system of dedicated communication network service using object-oriented design techniques which are UML(Unified Modeling Language).

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.1
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• pp.100-108
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• 2017

Because of urbanization, Industrialization and expansion of transportation network, blasting works are recently increasing in construction field. The blasting work influences environmental effects to residents and the safety of facilities around the working place, so the development of blasting technology is needed to reduce the damage to residents. The blasting mechanism in the hole was studied and tested in the blasting sites by the difference of diameter between explosives and drilling hole, which is named by the decoupling effect. This effect was tested by changing the medium between explosives and hole wall in three working sites(railway, highway and industrial complex). The vibration velocity of blasting was recorded and vibration equations were produced by regression analyses. Finally, the structure separation distance was derived using these equations. The testing results show that the specific gravity of medium is larger, the separation distance is smaller and the duration time of blasting is shorter in case of large specific gravity of medium, so the vibration effect stops more fastly in the water compared with the air.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.2
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• pp.541-551
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• 1996

This study develops the real time ULTC(Under Load Tap Changer) control strategy with LDC setting values moved dynamically using artificial neural networks. The suggested strategy can improve the ULTC voltage compensation capability by building 2 types of neural networks, ANNs and ANNg. ANNs recognizes the uncompensated MTr sending voltage change caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting valtage chanbe caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting values by recognizing the voltage level obtained from ANNs, and the section load pattern for each time period. In order to evaluate the suggested approach, the ULTC voltage compensation strategy are simulated on a 8 feeder distribution system. Artificial neural networks developed in this study are implemented in FORTRAN language on PC 386.

• The Transactions of the Korea Information Processing Society
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• v.7 no.10
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• pp.3201-3209
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• 2000

The developmenl and ]Jopulmization of Internet changes our whole Life style. Nowadays, the research on the digital network in home(HAN, Home Area Network) is now under studying This technology is more and more required accordmg to development of digitalized household e1ecil1c allplmnces and the digItal data/control network The Intemet technology requirement in ome Area is also on the increase The Internat Icchnology now using in home is through ADSL modem and Cable modem. From now on, the prospect of the Home Area Network environment will be developed until FTTH(Fibcr To The Home) In this paper, we mcssure the network propagation perfonnance to verify which the user in home can enjoy the diiltal multimedia data throngh these high speedinternet technology. We also measme another performance when we use these high speed mternet technology as FTTH.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.274-274
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• 2012

증발산량 관측은 오랜 기간 연구되어 왔으며, 미기상 관측 시스템의 최적화와 상호 공동비교 실험 및 자료 처리의 일관성을 유지를 위해 한국에는 KoFlux라고 하는 플럭스 네트워크가 2002년 1월에 구축되었다. 이를 시작으로 미기상 관측에 대한 관심이 많은 연구자들이 관측망 구축에 힘쓰고 있으며, 에디공분산 방법을 이용해 증발산량을 산정하고 있다. 에디 공분산 방법은 다른 방법에 비해 연직농도 차이가 적은 산림 위에서의 플럭스 값을 측정 할 수 있으며, 측정 시 식물 환경에 방해를 주지 않는 등의 장점이 있다. 하지만 자료 처리와 품질관리에 있어 연구자의 주관성에 의해 상당 부분 불확실성을 초래한다. 또한 다른 관측지점과의 일관적인 비교를 위해 좌표보정을 수행하며, 일반적으로 바람이 평평한 지역 위로 분다는 가정 하에 이루어진다. 좌표보정은 일반적으로 Planar Fit Rotation방법을 사용하며, 평판 분할은 지형에 따라 12개까지 분할하여 분석한다. 하지만 덕유산 플럭스관측 타워지점처럼 산지 특성이 뚜렷하고 1 m/s이하의 풍속 데이터의 빈도가 큰 경우 평판 분할 수의 제한이 발생한다. 이러한 문제를 해결하기 위해 좌표보정계수산정 방법에 따라 등간격의 평판분할 방법(Scenario A), 주풍향을 고려한 평판분할 방법(Scenario B)과 빈도에 의한 평판분할방법(Scenario C)으로 수행하였다. 또한 각 Scenario는 풍속의 제한 조건에 따라 CASE A(0.5 m/s 이상), CASE B(1.0 m/s이상)로 구분하여 분석하였다. 본 연구를 통해 제안 한 자료처리 절차는 첫째, 바람자료의 빈도 분석을 통한 지역특성 파악 둘째, 풍속제한 조건 설정 셋째, 바람과 수증기의 공분산 계산으로 요약된다. 덕유산 플럭스관측 타워지점의 경우 풍속 제한을 1.0 m/s이상에서 0.5 m/s이상으로 하향 조정하였으며, 평판 분할 방법은 Scenario C의 평판 수 12개를 채택하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.3
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• pp.301-309
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• 1999

Real-time kinematic (RTK) GPS surveying which allows centimeter level accuracy of three-dimensional coordinates without post-processing has become recognized as a major advance in GPS technology. Employing On-The-Fly initialization technique, the RTK system can escape from cycle slip problems that have affected as a main obstacle factor in traditional kinematic and static approaches. The objective of this research was to evaluate accuracy and effectiveness of the RTK-GPS surveying. First, the continuous RTK observation of a base line was conducted for the purpose of finding out the repeatability of the RTK surveying and the results which were then compared against results from static surveying showed RMS errors of $\pm{3mm}\;and\;\pm{13mm}$ for their respective horizontal and vertical components. On a test network of 30 stations covering the small area, the results of RTK testing were compared against those from not only post-processing kinematic and rapid-static surveyings but conventional surveyings and also the efficiency of RTK were analyzed. In addition, geoid heights which were derived by combination of GPS and spirit leveling about all of the points within the network were compared against those derived by the PNU95 and EGM96 models respectively.

• Journal of the Korean Institute of Gas
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• v.22 no.6
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• pp.16-27
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• 2018

Since 2014, the Korean government has begun distributing LPG pipelines and LPG tankers to mountainous or island areas where it is difficult to open urban gas supply chains. When installing LPG supply facilities at village level and county level, it supplied consumers with 10 times higher quasi-low pressure (25 kPa to 100 kPa) than conventional gas supply pressure, increasing the risk of gas accident. Due to the pressure that is 10 times higher than the conventional gas supply pressure, large amounts of gas are released at a faster rate when leaked. In order to secure safety of quasi-low-pressure gas pipes, excess flow valves for quasi-low-pressure gas pipes are not developed and are not supplied in Korea. Therefore, Korea Gas Safety Corporation is investigating the performance standards and products of the excess flow valves in order to localize the excess flow valves.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1175-1182
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• 2021

The receiver of each radio telescope of KVN, has a sampler that converts astronomical radio signal to digital data. The ability of this sampler (the bandwidth, sampling frequency, and sampling bits) is improved by sqrt(n), if the bandwidth is increased by n times, and the number of observable objects increases exponentially in the case of continum spectrum radio sources. As the bandwidth increases, there are the more spectrum lines that can be simultaneously monitored in the radio source. This will greatly expand the research area in astronomical radio observation. For this reason, we are trying to independently develop the technology of the fast digital sampler. Therefore, based on the research experience and technology accumulated so far, An ability of sampling up to 3.5 GHz, that can vary the sampling frequency and can observe in a wider band, was designed and made for proto-type. In this study, we introduce the development details and test results for new sampling system.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.21-28
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• 2021

This study proposes a deep learning-based flat foot classification methodology using transfer learning. We used a transfer learning with VGG16 pre-trained model and a data augmentation technique to generate a model with high predictive accuracy from a total of 176 image data consisting of 88 flat feet and 88 normal feet. To evaluate the performance of the proposed model, we performed an experiment comparing the prediction accuracy of the basic CNN-based model and the prediction model derived through the proposed methodology. In the case of the basic CNN model, the training accuracy was 77.27%, the validation accuracy was 61.36%, and the test accuracy was 59.09%. Meanwhile, in the case of our proposed model, the training accuracy was 94.32%, the validation accuracy was 86.36%, and the test accuracy was 84.09%, indicating that the accuracy of our model was significantly higher than that of the basic CNN model.