• Ecology and Resilient Infrastructure
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• v.7 no.4
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• pp.345-352
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• 2020

Securing the lead time for evacuation is crucial to minimize flood damage. In this study, downstream water levels for heavy rainfall were predicted using measured water level observation data. Multiple regression analysis and artificial neural networks were applied to the Seom River experimental watershed to predict the water level. Water level observation data for the Seom River experimental watershed from 2002 to 2010 were used to perform the multiple regression analysis and to train the artificial neural networks. The water level was predicted using the trained model. The simulation results for the coefficients of determination of the artificial neural network level prediction ranged from 0.991 to 0.999, while those of the multiple regression analysis ranged from 0.945 to 0.990. The water level prediction model developed using an artificial neural network was better than the multiple-regression analysis model. This technique for forecasting downstream water levels is expected to contribute toward flooding warning systems that secure the lead time for streams.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1141-1149
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• 2020

Most of the industrial control network is an independent closed network, which is operated for a long time after installation, and thus the OS is not updated, so security threats increase and security vulnerabilities exist. The zero-day attack defense must be applied with the latest patch, but in a large-scale industrial network, it requires a higher level of real-time and non-disruptive operation due to the direct handling of physical devices, so a step-by-step approach is required to apply it to a live system. In order to solve this problem, utility-specific patch impact assessment is required for reliable patch application. In this paper, we propose a method to test and safely install the patch using the regression analysis technique and show the proven results. As a patch impact evaluation methodology, the maximum allowance for determining the safety of a patch was derived by classifying test types based on system-specific functions, performance, and behavior before and after applying the patch. Finally, we report the results of case studies applied directly to industrial control networks, the OS patch has been updated while ensuring 99.99% availability.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.54-57
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• 1998

As the physical layer on telecommunication network is replaced fiber optic lines, it is increased the need of systematic maintenance for fiber optic lines. Korea Telecom has developed FLOMS in order to establish maintenance processes for optical fiber lines. FLOMS has functions which manages optical facilities and tests optical fiber lines automatically. As a resuls, this system can check and/or report a fault. Operator, who is reponsible for management of optical fiber lines, can test the characteristics of optical fiber lines remotely using FLOMS. As interpoerable with Digital Transmission Management System, FLOMS provides efficient management for optical fiber lines. This system improves the work process to find fault location fast, detect the degradation of fiber quality, and make database of optical facilities efficiently.

• Proceedings of the KIPE Conference
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• 2004.07b
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• pp.733-737
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• 2004

오랫동안 연구되어 오던 전력선 통신 기술은 1990 년대 중반에 이르러, 모뎀 기술을 응용한 10kbps급의 저속 전력선통신 기술이 개발되어 상용화 수준에 근접한 제품이 등장하기 시작했다. 반면 고속 전력선통신 기술 분야는 관심을 갖기 시작한 시기가 저속 분야에 비해 상대적으로 늦지만, 국내외 여러업체에서 고속 전력선통신 솔루션을 개발, 상용화에 근접한 칩셋 및 제품들을 선보이고 있다. 국내에서는 산업자원부의 중기거점 사업으로 수행중인 "50Mbps급 고속 전력선 통신망 개발사업"과 관련하여 고속 전력선 통신망 장치를 실용화 할 수 있도록 집단주택과 단독주택 형태의 인터넷 시범사업에 관한 연구가 활발히 수행중이다. 본 연구에서는 실제 수용가 환경인 단독주택 약 20세대에서 수행한 인터넷 시범사업을 통하여 개발된 전력선 통신 모뎀과 시스템에 대한 성능 측정을 수행한다. 이를 토대로 현 단계에서의 기술을 분석하고, 전력선 통신망에 대한 운영상의 적정 노드 및 가입자망 전송 섹터범위 등의 종합적인 평가에 대한 내용 등 실증시험망 구축 및 운용에 대한 결과와 향후 활용방안에 대해서 기술하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.715-724
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• 2010

K-water has used satellite networks for 12 years for hydrological observation in various parts such as remote data acquisition and providing information including flood forecasting. It is the time to replace equipments according to long-term use of the system. A pilot system for high speed satellite networks is implemented by seven terminals, three 2-hops and 1 hub in Ku-Band bandwidth by using VSAT. According to the result for the performance test on the system, the result fot all items, including Link Budget designed meets performance levels.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.139-146
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• 1998

Frame relay is a high speed wide area network technology that is used to connect various networks. Combining the advantages of packet switching and circuit switching, frame relay offers high throughput and reliability that is perfect for a variety of today's business applications. In this study, we briefly characterize frame relay technology, survey standardization activities and investigate domestic frame relay market. We developed an experimental system for the dial-up service to access remotely an enterprise network using frame relay network, and tested the performance and cost effect of the experimental system.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.2 s.16
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• pp.47-60
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• 2000

On this study, Among the classification methods of land cover using satellite imagery, we compared the classification accuracy of Neural Network Classifier and that of Maximum Likelihood Classifier which has the characteristics of parametric and non-parametric classification method. In the assessment of classification accuracy, we analyzed the classification accuracy about testing area as well as training area that many analysts use generally when assess the classification accuracy. As a result, Neural Network Classifier is superior to Maximum Likelihood Classifier as much as 3% in the classification of training data. When ground reference data is used, we could get poor result from both of classification methods, but we could reach conclusion that the classification result of Neural Network Classifier is superior to the classification result of Maximum Likelihood Classifier as much as 10%.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1129-1132
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• 2000

최근 인터넷 수요의 증가로 통신망에서 음성, 영상 및 데이터(data)를 복합적으로 지원할 수 있는 멀티서비스(multiservice)의 교환 기술이 필수적이다. 또한 망 사업자들이 여러 벤더(vendor)들로부터 최적의 장비를 선택하여 망을 구축할 수 있도록 통신 장비들의 상호 운용성을 지원하는 개방형 구조의 망 및 스위치 시스템(switch system)을 정의하는 작업이 필요하다. 페트리 넷(Petri Nets)은 시스템(system)을 분석하기 위한 도구로서, 시스템은 페트리 넷 이론에 의해 시스템의 수학적 표현인 페트리 넷으로 설계될 수 있다. CPN(Colored Petri Nets)은 페트리넷의 확장형으로서, 토근(token)에 칼라를 부여하여 다양한 특성을 지닌 시스템을 표현하기에 적합하다. Design/CPN은 CPN의 사용을 지원하는 소프트웨어 패키지(software package)이다. 본 논문에서는 개방형 멀티서비스 교환 시스템의 핵심으로 스위치와 제어기(Controller) 사이의 표준 프로토콜인 GSMP(General Switch Management Protocol) 프로토콜을 Design/CPN 으로 변환하고, 이로부터 시험열을 생성한다.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.5 no.1
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• pp.11-16
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• 1972

During the period from 1966 to 1968, total catches of Spanish mackerel averaged 6,000 to 7,000M/T per annual in Korea, and approximately 70 per cent of this amount was captured by drift nets. In an effort to improve the efficiency of drift nets, some experiments were conducted in 1969 to investigate the selectivity of material and mesh sizes. Seven different mesh sizes (80,85,95,100,105,110 and 115 mm) of both multi- and mono-filament netting were used, and the following results were obtained : 1, The body weight of Spanish mackerel taken with the seven different mesh sizes ranges from 0.5kg to 2.9kg, and the mode of body weight consists of three groups, 1kg ($21%$), 1.3kg($15\%$) and 1.5kg($19\%$). 2. For multi-filament net, 80 to 105mm mesh sizes were suitable to catch those three groups, and a little smalter than these for mono-filament net. 3. For Spanish mackerel only, the mono-filament material proved to have 1.5 times better selectivity than multi-filament : however, the latter proved superior for miscellaneous fish species due to its different size and shape. 4. Multi-filament net showed better selectivity for smaller species than mono-filament. (and mono-filament in general indicated opposite phenomenon.)

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1319-1322
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• 2001

본 논문에서는 WAN 환경에서의 선도시험망 기반 QoS 테스트베드를 구성하고 차등화 서비스에 의한 QoS 의 성능을 측정하였다. 전송율, RTT, 패킷 손실, FTP 소요시간을 대상으로 QoS 보장 서비스와 베스트-에포트 서비스에 대한 성능을 비교 분석하였다. 모든 측정대상에 대하여 QoS 보장 트래픽이 좋은 성능을 보여주었으며, 특히 멀티미디어 어플리케이션의 비디오 트래픽에 대해서도 QoS 보장 서비스에 의한 전송서비스가 고품질의 영상을 제공하였다.