• Title/Summary/Keyword: 고도보정

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Improving the Reliability of Beacon Synchronization of IEEE 802.15.4 MAC Protocol using a Reception Time Compensation Scheme (수신 대기시간 보정을 통한 IEEE 802.15.4 MAC 프로토콜의 비컨 동기화 신뢰성 개선)

  • Kim, Hiecheol
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.3
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    • pp.1-11
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    • 2018
  • This paper explores the reliability issue especially associated with the time-division synchronous communication when a networking stack is implemented using software timers provided by embedded operating systems. Especially, we explore the reliability of beacon synchronization of IEEE 802.15.4. Our experiments based on its practical implementation clearly show that processing delays or losses of hardware timer interrupts used for software timers lead to occasional failures in beacon synchronization. To avoid such failures, we suggest a reception time compensation scheme that turns on the receiver earlier than expected.

Design and Implementation of the Logistics Information synchronization Algorithm Based on Business Rule Engine (비즈니스 룰엔진 기반 물류정보 동기화 알고리즘 설계 및 구현)

  • Yeom, Hwa-Jin;Choi, Jin-Young
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.385-388
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    • 2013
  • 물류 고도화를 통한 기업 생산성 확보 및 생존 경쟁력 강화를 위해 기존의 공급망 관리(SCM) 기술에 RFID 기술을 융합함으로써 물품자동 인식, 물류정보 교환 및 추적 등의 지능화 서비스를 온라인상에서 실시간으로 제공할 수 있는 기술이 적용되고 있다. 하지만 물류정보 동기화 기술 개발 측면에서는 물류정보의 단순 가시화 시스템 개발 수준에 머물고 있는 것이 현실이고, 본격적인 확산을 위해 수집된 데이터 오류 검출 및 보정이라는 물류정보 동기화 기술 개발로 물류 시스템 운용 비용을 절감할 수 있다면 그 파급 효과가 매우 클 것이다. 지금까지는 RFID 인프라 기술 개발에 집중해 왔기에 물류정보 동기화 기술은 아직 초기 연구 단계에 머무르고 있다. 본 논문은 RFID 기반 공급망 상에서 발생할 수 있는 물류정보 동기 오류를 검출하고 보정할 수 있는 물류정보 동기화 알고리즘을 설계하고, 향후 공급망의 변화 및 확장 등의 이유로 알고리즘을 효율적으로 수정 보완할 수 있는 비즈니스 룰엔진 기반의 아키텍처를 구현하여 글로벌 물류 기업에 적용하고, 그 결과를 분석하여 물류정보 동기화 알고리즘과 구현 아키텍처의 효율성을 증명하였다.

An Empirical Study on the Instrument Approach Procedure for Satellite Based Augmentation System (SBAS) APV-I (위성기반보정시스템(SBAS) APV-I 계기접근절차에 관한 실증 연구)

  • Yang, Yoonsung;Choi, Sangil;Kim, Hyeonmi;Kim, Huiyang
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.30 no.1
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    • pp.28-37
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    • 2022
  • Along with the remarkable advances in GNSS technology, SBAS further enhances the accuracy and integrity of GNSS location information and derives improvement in the safety and efficiency of air traffic management from reducing GNSS location errors, induced by passing through the ionosphere and atmosphere, to less than three meters. In this regard, ICAO specifies the standards of SBAS signals and recommends every party to phase in by 2025; and it is foreseeable that SBAS APV-I and CAT-I will be provided in South Korea by its undertaking the development of KASS, a Korean SBAS. The purpose of the study is to design SBAS APV-I procedure on the basis of the runway 15L of Incheon International Airport and conduct obstacle assessment according to PAN-OPS Doc. 8168, focusing on the usability and usefulness of SBAS APV-I. The results show that SBAS APV-I will provide better decision height compared to other PBN RNP approach procedures such as LNAV and Baro-VNAV at the Incheon International Airport.

Research on the accuracy improvement of rainfall estimation using rain radar and ground gauge data for the hydroelectric dams (강우레이더와 지상관측자료를 활용한 수력댐 유역 강우추정 정확도 개선 연구)

  • Yoon, Seong Sim;Shin, Hongjoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.9-9
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    • 2021
  • 기후변화의 영향으로 과거에 경험하지 못한 이상강우 발생 증가로 댐 및 수자원 관리에 어려움이 증대되고 있다. 특히, 강우의 시·공간적 변동성 심화로 기존 지상강우계만으로는 정확한 유역 단위의 강우량 추정이 어려우며 관측강우자료의 불확실성은 댐 운영의 부정확성을 야기할 수 있다. 최근 지상강우계의 대안으로 시·공간 해상도가 우수한 강우레이더의 활용 및 현업적용이 증대되고 있다. 본 연구에서는 안정적인 수력댐 운영 및 수재해 예방을 위해 고해상도 강우레이더와 지상관측 강우자료를 활용하여 수력댐 유역의 강우추정 정확도를 개선하고자 하였다. 이를 위해 환경부 합성레이더 강우자료와 지상강우관측자료를 이용하여 조건부 합성기법으로 격자강우자료의 정확도를 개선하였다. 대상 유역은 한국수력원자력(주)의 수력발전용댐(팔당, 의암, 춘천, 화천, 청평, 도암, 괴산, 섬진강, 보성강댐) 이다. 특히, 레이더 오차 분석을 통해 지형효과의 고려가 필요한 수력댐 유역을 선정하여 고도영향 조건부합성기법을 적용하도록 하였다. 이를 통해 수력댐 유역의 지형 및 기상 특성을 차별화한 보정이 가능하였다. 또한, 소유역별 레이더 유역평균강우의 오차를 실시간으로 저감하기 위해 화음탐색법과 칼만필터 기법을 적용하여 수력댐 수계 내 172개 소유역의 유역평균강우량을 실시간으로 최적화 할 수 있도록 하였다. 본 연구를 통해 개발된 수력댐 유역의 고해상도 강우 정보를 기반으로 GIS 웹 표출 시스템에 개발하여 수력댐 운영 업무활용 할 수 있도록 지원하고자 한다.

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Rapid gravity and gravity gradiometry terrain corrections via an adaptive quadtree mesh discretization (최적 4 진트리 격자화를 이용한 중력 및 중력 변화율 탐사에서의 고속 지형보정)

  • Davis, Kristofer;Kass, M.Andy;Li, Yaoguo
    • Geophysics and Geophysical Exploration
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    • v.14 no.1
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    • pp.88-97
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    • 2011
  • We present a method for modelling the terrain response of gravity gradiometry surveys utilising an adaptive quadtree mesh discretization. The data- and terrain-dependent method is tailored to provide rapid and accurate terrain corrections for draped and barometric airborne surveys. The surface used in the modelling of the terrain effect for each datum is discretized automatically to the largest cell size that will yield the desired accuracy, resulting in much faster modelling than full-resolution calculations. The largest cell sizes within the model occur in areas of minimal terrain variation and at large distances away from the datum location. We show synthetic and field examples for proof of concept. In the presented field example, the adaptive quadtree method reduces the computational cost by performing 351 times fewer calculations than the full model would require while retaining an accuracy of one E$\"{o}$tv$\"{o}$s for the gradient data. The method is also used for the terrain correction of the gravity field and performed 310 times faster compared with a calculation of the full digital elevation model.

Estimation of Monthly Precipitation in North Korea Using PRISM and Digital Elevation Model (PRISM과 상세 지형정보에 근거한 북한지역 강수량 분포 추정)

  • Kim, Dae-Jun;Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.13 no.1
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    • pp.35-40
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    • 2011
  • While high-definition precipitation maps with a 270 m spatial resolution are available for South Korea, there is little information on geospatial availability of precipitation water for the famine - plagued North Korea. The restricted data access and sparse observations prohibit application of the widely used PRISM (Parameter-elevation Regressions on Independent Slopes Model) to North Korea for fine-resolution mapping of precipitation. A hybrid method which complements the PRISM grid with a sub-grid scale elevation function is suggested to estimate precipitation for remote areas with little data such as North Korea. The fine scale elevation - precipitation regressions for four sloping aspects were derived from 546 observation points in South Korea. A 'virtual' elevation surface at a 270 m grid spacing was generated by inverse distance weighed averaging of the station elevations of 78 KMA (Korea Meteorological Administration) synoptic stations. A 'real' elevation surface made up from both 78 synoptic and 468 automated weather stations (AWS) was also generated and subtracted from the virtual surface to get elevation difference at each point. The same procedure was done for monthly precipitation to get the precipitation difference at each point. A regression analysis was applied to derive the aspect - specific coefficient of precipitation change with a unit increase in elevation. The elevation difference between 'virtual' and 'real' surface was calculated for each 270m grid points across North Korea and the regression coefficients were applied to obtain the precipitation corrections for the PRISM grid. The correction terms are now added to the PRISM generated low resolution (~2.4 km) precipitation map to produce the 270 m high resolution map compatible with those available for South Korea. According to the final product, the spatial average precipitation for entire territory of North Korea is 1,196 mm for a climatological normal year (1971-2000) with standard deviation of 298 mm.

A Spatial Interpolation Model for Daily Minimum Temperature over Mountainous Regions (산악지대의 일 최저기온 공간내삽모형)

  • Yun Jin-Il;Choi Jae-Yeon;Yoon Young-Kwan;Chung Uran
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.2 no.4
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    • pp.175-182
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    • 2000
  • Spatial interpolation of daily temperature forecasts and observations issued by public weather services is frequently required to make them applicable to agricultural activities and modeling tasks. In contrast to the long term averages like monthly normals, terrain effects are not considered in most spatial interpolations for short term temperatures. This may cause erroneous results in mountainous regions where the observation network hardly covers full features of the complicated terrain. We developed a spatial interpolation model for daily minimum temperature which combines inverse distance squared weighting and elevation difference correction. This model uses a time dependent function for 'mountain slope lapse rate', which can be derived from regression analyses of the station observations with respect to the geographical and topographical features of the surroundings including the station elevation. We applied this model to interpolation of daily minimum temperature over the mountainous Korean Peninsula using 63 standard weather station data. For the first step, a primitive temperature surface was interpolated by inverse distance squared weighting of the 63 point data. Next, a virtual elevation surface was reconstructed by spatially interpolating the 63 station elevation data and subtracted from the elevation surface of a digital elevation model with 1 km grid spacing to obtain the elevation difference at each grid cell. Final estimates of daily minimum temperature at all the grid cells were obtained by applying the calculated daily lapse rate to the elevation difference and adjusting the inverse distance weighted estimates. Independent, measured data sets from 267 automated weather station locations were used to calculate the estimation errors on 12 dates, randomly selected one for each month in 1999. Analysis of 3 terms of estimation errors (mean error, mean absolute error, and root mean squared error) indicates a substantial improvement over the inverse distance squared weighting.

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A Study on Non-uniformity Correction Method through Uniform Area Detection Using KOMPSAT-3 Side-Slider Image (사이드 슬리더 촬영 기반 KOMPSAT-3 위성 영상의 균일 영역 검출을 통한 비균일 보정 기법 연구 양식)

  • Kim, Hyun-ho;Seo, Doochun;Jung, JaeHeon;Kim, Yongwoo
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.1013-1027
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    • 2021
  • Images taken with KOMPSAT-3 have additional NIR and PAN bands, as well as RGB regions of the visible ray band, compared to imagestaken with a standard camera. Furthermore, electrical and optical properties must be considered because a wide radius area of approximately 17 km or more is photographed at an altitude of 685 km above the ground. In other words, the camera sensor of KOMPSAT-3 is distorted by each CCD pixel, characteristics of each band,sensitivity and time-dependent change, CCD geometry. In order to solve the distortion, correction of the sensors is essential. In this paper, we propose a method for detecting uniform regions in side-slider-based KOMPSAT-3 images using segment-based noise analysis. After detecting a uniform area with the corresponding algorithm, a correction table was created for each sensor to apply the non-uniformity correction algorithm, and satellite image correction was performed using the created correction table. As a result, the proposed method reduced the distortion of the satellite image,such as vertical noise, compared to the conventional method. The relative radiation accuracy index, which is an index based on mean square error (RA) and an index based on absolute error (RE), wasfound to have a comparative advantage of 0.3 percent and 0.15 percent, respectively, over the conventional method.

Reflectivity Mosaic of Two Radars Using a Height-weighted Method (고도 가중 방법을 이용한 레이더 반사도의 합성)

  • Lee, Jung-Hoon;Jung, Sung-Hwa;Heo, Bok-Haeng;Kim, Kyung-Eak
    • Korean Journal of Remote Sensing
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    • v.26 no.4
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    • pp.373-385
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    • 2010
  • A new method to mosaic reflectivity over the overlapped coverage of two radars was developed. The method mosaics the radar reflectivity with weights after adjustment of reflectivity differences on overlapped coverage of neighboring two radars. Their weights are inverse proportion to the difference between the height of an interpolated reflectivity and the level of CAPPI (Constant Altitude PPI). The performance of this method was compared to different mosaic methods (Mosaics by maximum value, averaged value, nearest value and distance weighted value) using the reflectivity fields of a typhoon event observed by two radar. New method was better than any other methods either as a continuity and as a bias analysis of reflectivity at the boundaries in overlapped coverage by two radars.

Bright Band Detection Using X-band Polarimetric Radar (X-밴드 이중편파 레이더에 의한 밝은 띠 탐지)

  • Lee, Dong-ryul;Jang, Bong-joo;Hwang, Seok Hwan;Han, Myeong-sun;No, Huiseong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.17-17
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    • 2016
  • 이중편파 레이더는 수평 수직반사도($Z_H{\cdot}Z_V$), 차등반사도($Z_{DR}$), 교차상관계수(${\rho}_{HV}$), 차등위상차(${\Phi}_{DP}$) 등 다양한 변수 산출을 통하여 대기 수상체 구분, 우적분포에 영향이 적은 강우량 추정, 밝은 띠(BB, Bright Band)의 탐지 등이 가능하게 됨으로써 수문기상 및 재해관리 분야에 활용성이 점점 더 커지고 있다. 본 연구는 RHI, PPI에서 생산된 레이더 변수를 이용하여 BB를 탐지하고 그 특성을 평가하였다. BB는 레이더를 이용하여 상층대기를 관측할 때 수직단면에서 강수입자가 눈에서 비로 변하는 구간에서 과대하게 높은 반사도가 나타나는 층을 말한다. BB에서는 QPE가 과대 추정되기 때문에, BB의 특성 파악은 레이더의 관측전략 수립과 QPE 보정에 필수적이다. 본 연구에서는 RHI에 의한 $Z_H$의 연직단면분석, RHI와 PPI의 고도각 경사거리(slant range) 빔의 ${\rho}_{HV}$, $Z_{DR}$, $Z_H$에 의한 분석을 통하여 BB의 상단부($BB_{TOP}$), 최정점($BB_{PEAK}$) 및 하단부($BB_{BOTTOM}$)의 고도를 상호 비교 평가하였다. 분석 자료는 KICT X-밴드 레이더에 의한 관측한 2015년 10월 21일의 층상운에 의한 강우를 이용하였다. RHI에 의한 $Z_H$의 연직단면 분석결과 $BB_{top}$, $BB_{bottom}$$BB_{peak}$는 KICT 레이더 고도(MSL : 40m)를 기준으로 각각 3.26Km, 2.3Km($BB_{width}$: 0.96km) 및 2.7Km로 나타났다. 이 같은 결과는 다른 2가지 분석방법에서도 유사하게 나타나고 있으며, 이는 BB분석을 위해 다양한 변수를 통한 신뢰성 있는 BB의 특성을 파악할 수 있는 기반을 제공한다.

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