• 한국전산구조공학회논문집
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• 제14권2호
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• pp.193-202
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• 2001

현재 국내에서는 아파트 건물을 짓는데 벽과 바닥판으로만 이루어진 벽식 구조형식을 많이 사용하고 있다. 이러한 고층 아파트건물을 해석하기 위해서 ETABS나 MIDAS/BDS 같은 상용프로그램이 주로 사용되고 있다. ETABS는 해석상의 편의를 위하여 바다판을 강막으로 가정하여 모형화 하고 바닥판의 휨강성은 고려하지 않고 있다. 이러한 가정은 프레임 구조물을 해석할 때에는 합리적이라고 할 수 있다. 그러나 벽식 구조물은 바닥판의 휨강성이 전체 구조물의 횡방향 강성에 큰 영향을 미치므로 바닥판의 휨강성을 고려하지 않으면 전체 구조물의 강성을 과소평가하게 된다. 따라서 바닥판을 판요소로 세분하여 모형화 하는 것이 필요하다. 그러나 이때 많은 양의 해석 시간과 컴퓨터 메모리가 필요하게 된다. 따라서 본 연구에서는 부분구조법과 행렬응축기법을 사용하여 해석 시간과 컴퓨터 메모리의 사용을 줄이면서도 바닥판의 휨강성을 효율적으로 해석할 수 있는 해석 기법을 제안하였고 예제를 통하여 검증하였다.

• 지능정보연구
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• 제3권1호
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• pp.47-68
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• 1997

This paper discusses a method of modified Elman network(1990) for nonlinear predictions and its a, pp.ication to forecasting daily exchange rate returns. The method consists of two stages that take advantages of both time domain filter and modified feedback networks. The first stage straightforwardly employs the filtering technique to remove extreme noise. In the second stage neural networks are designed to take the feedback from both hidden-layer units and the deviation of outputs from target values during learning. This combined feedback can be exploited to transfer unconsidered information on errors into the network system and, consequently, would improve predictions. The method a, pp.ars to dominate linear ARMA models and standard dynamic neural networks in one-step-ahead forecasting exchange rate returns.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.931-954
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• 2003

It is widely recognized that economic time series involved not only the linearities but also the non-linearities. In this paper, when the economic time series data have the nonlinear characteristics we propose the forecasts method using combinations of both forecasts from linear and nonlinear models. In empirical study, we compare the forecasting performance of 4 exchange rates models(AR, GARCH, AR+GARCH, Bilinear model) and combination of these forecasts for dairly Won/Dollar exchange rates returns. The combination method is selected by the estimated individual forecast errors using Monte Carlo simulations. And this study shows that the combined forecasts using unrestricted least squares method is performed substantially better than any other combined forecasts or individual forecasts.

• Journal of Positioning, Navigation, and Timing
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• 제10권3호
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• pp.207-214
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• 2021

A new positioning technique for positioning of LTE base stations is proposed. The positioning information of the base station is absolutely necessary for model-based wireless positioning, and is required in some of the various merhodologies for estimating signals in an uncorrected area when construnting a database for fingerprinting-based positioning. Using the acquired location-based Reference Signal Received Power (RSRP) information to estimate the location of the base station, it is impossible with the existing trilateration methods. Therefore, in this paper, a method using reference particles is proposed. Particles are randomly generated in the application area, and signal propagation modeling is performed assuming that a base station is located in each particle. Based on this, the errors of measurements are calculated. The particle group with the minimum measurement errors is selected, the position of the base station is estimated through weighted summation, and the signal propagation model of the corresponding base station is built at the same time. The performance of the proposed technology is verified using data acquired in Seocho-dong, Seoul.

• Journal of Positioning, Navigation, and Timing
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• 제11권4호
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• pp.239-244
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• 2022

R-Mode is terrestrial based Global Navigation Satellite System (GNSS) backup radio navigation technology which used existing maritime information service infrastructure. It has advantages on reduce the cost and reutilize the frequency resource. In this paper, we propose a method to develop a medium-frequency (MF) band R-Mode transmitting station by utilizing the currently operating Differential GNSS (DGNSS) reference station infrastructure. To this end, the considerations for co-operating the DGNSS reference station and the MF R-Mode transmitting station are analyzed. In this process, we also analyze what is necessary to configure the communication system as a navigation system for range measurement. Based on the analysis result, MF R-Mode transmitting station system is designed and architecture is proposed. The developed system is installed in the field, and the performance evaluation results is presented.

• 전자통신동향분석
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• 제36권4호
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• pp.61-71
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• 2021

Navigation satellite systems (GPS, GLONASS etc.) provide three main services, i.e., positioning for location based services, navigation for multi-modal transportation services, and timing for communication and critical infrastructure services. They were started as military systems but were extended to civil service. Navigation satellite navigation system began with GPS in the USA and GLONASS in Russia at nearly the same time. Indian NavIC and Chines BDS announced their FOCs in 2016 and 2020, respectively and European Galileo and Japanese QZSS are catching up others. In these days, Navigation Satellite System, Positioning, Navigation, and Timing services are part of our daily life very closely. They are required for autonomous driving car, Unmanned vehicles like UAV, UGV, and UMV, 5G/6G telecommunications, world financial system, power system, survey, agriculture, and so on. The services among navigation satellite systems are very competitive and also cooperative one another. This article describes the status of these systems and evolution in the technical and service senses, which may be helpful for planning korea positioning system(KPS).

• 전자통신동향분석
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• 제38권2호
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• pp.12-25
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• 2023

Positioning, navigation, and timing information has become a key element in the national core infrastructure and for emerging technologies, such as autonomous driving, lunar exploration, financial systems, and drones. Therefore, the provision of that information by navigation satellite systems is becoming increasingly important. Existing systems such as GPS (Global Positioning System), GLONASS (GLObal NAvigation Satellite System), and BDS (BeiDou Navigation Satellite System) also provide augmentation, safety-of-life, search & rescue and short message communication and authentication services to increase their competitiveness. Those services and the signals generated for their provision have their own purpose and requirements. This article presents an overview of existing or planned satellite navigation satellite system services and signals, aiming to help understand their current status.

• 폴리머
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• 제36권4호
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• pp.486-493
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• 2012

칼콘기를 포함하는 광가교성 sulfonated polyimide(SPI) 전해질 고분자를 칼콘기를 가지는 실란 커플링제가 처리된 알루미나 전극에 도포하여 습도센서를 제조하였다. SPI 필름 중 bis(tetramethyl)ammonium 2,2'-benzidinedisulfonate($Me_4N$-BDS)/4,4'-diaminochalcone(DAC)/pyromellitic dianhydride(PA)= 90/10/100 이루어진 습도센서는 20과 95 %RH 영역에서 4.48부터 $2.1k{\Omega}$까지 변화하며 좋은 직선성(Y = -0.04528X+7.69446, $R^2=0.99675$)을 보여주었다. 33 %RH와 94 %RH 사이에서 흡습과 제습과정의 응답속도는 약 79초이며, 가교화된 SPI 필름은 습도를 빠르게 검지할 수 있는 매우 효율적인 감습재료이다. 온도 의존성 계수는 $-0.49%RH/^{\circ}C$이며 습도센서로서 응용시 온도 보상이 필요하다. 또한 센서의 기재를 칼콘을 포함하는 실란 커플링제로 처리한 센서는 가교와 동시에 기재에 접합되어 480시간 이상 내수성, 고온과 고습 안정성 및 장기 안정성이 뛰어남을 알 수 있었다. 이렇게 가교화된 SPI는 상용화된 센서보다 우수한 특성을 보이는 재료로서 응용 가능성을 보여주었다.

• 대한토목학회논문집
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• 제26권4B호
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• pp.355-362
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• 2006

본 연구에서는 수문 및 기후 시계열 자료에 존재하는 경향성을 분석하기 위하여 MK 검정, Spearman's Rho 검정, Linear Regression 검정, 비모수 Cusum 검정, Cumulative Deviation 검정, Worsley Likelihood Ratio 검정, Rank Sum 검정, Student's t 검정 등의 8가지 기법을 사용하였다. 관측된 연 강우량과 유입량 시계열 자료, 나이테 자료 그리고 SOI 자료에 적용하여 그 결과를 비교 분석 하였다. 분석 결과 시계열 자료에는 어떤 기울기를 가지거나 어느 시점을 기준으로 평균이 변화하는 두 가지의 경향성이 존재함을 확인 할 수 있었다. 경향성을 나타낸 8개의 강우자료중 4개 지점이 평균이동(shift)을 나타내었으며, 18개 지역의 나이테 지수중 8개 지역과 월별 SOI자료 중 3, 4월자료에서 경향성의 존재가 확인되었고, 소양강댐 유입량 자료에서는 경향성이 나타나지 않았다. 특히, 나이테 지수의 경우에는 평균이동으로 인한 경향성만을 가지고 있는 자료가 확인되었다. 또한 정상성 검정을 위한 ADF 검정과 비선형성 검정을 위한 BDS 통계검정 기법을 적용하였다. 본 연구를 통하여 여러 경향성 분석 기법을 비교할 수 있었으며, 실제 관측된 수문 및 기후 시계열에 존재하는 경향성을 확인 할 수 있었고, 연구 결과를 통하여 수문시계열 해석시 다양한 분석을 통한 경향성의 존재여부를 확인 하여야 한다는 것을 알 수 있었다.

• 한국자동차공학회논문집
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• 제17권2호
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• pp.34-41
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• 2009

The latest vehicle yields a superior safety and reduction of driving burden by monitoring the driving state of vehicle and its environment with various sensors. To detect other vehicles and objects of the rear left and right-side blind spot area of driver, provide the information about a existence of objects inside the blind spot, and give a signal to avoid collision, this study proposes the intelligent outside rear-view mirror system. This task has substantially complicated several factors. For example, the size, geometry and features of the various vehicles which might enter the monitored zone is varied widely and therefore present various reflective characteristics. This study proposes the optimal specification and configuration of optical system and IR array sensor of blind spot detection system, and shows the results of the performance evaluation of developed system.