• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.11a
• /
• pp.295-297
• /
• 2007

교통 관련 검지기 시스템에 의해 수집된 교통량, 점유율, 속도와 같은 교통 정보 데이터는 품질평가, 오류판단, 결측보정의 자료처리를 거치게 되며 이러한 전처리 후 다양한 목적에 의해 연구자들에게 활용된다. 신속하고 정확한 자료처리와 보다 편리하고 효과적인 웹 UI 의 제공은 매우 중요하다. 본 논문에서는 품질평가, 오류판단, 결측보정에 해당하는 세 단계의 자료처리 알고리즘을 개발하고 사용자에게 자료처리의 과정을 제공하는 웹 UI 시스템을 구현한다.

• Bulletin of the Korean Space Science Society
• /
• 2004.04a
• /
• pp.56-56
• /
• 2004

원자외선 분광기 등, 우주관측 탑재체가 실린 과학기술위성 1호는 초기 운용과정과 자세제어에 대한 보정작업등을 거쳐 정상적인 임무를 수행하고 있다. 본 연구에서는 초기운용과 현재의 탑재체 운용 과정 중에 생성된 위성의 상태 정보 데이터를 이용하여 위성이 궤도상에서 겪는 열 변화에 대하여 어떻게 운용되고 있는지 분석하였다. 위성의 온도 데이터는 위성의 운용 및 궤도상에서 위성체의 자세와 밀접한 관계를 가지고 있다. (중략)

• Proceedings of the KIEE Conference
• /
• 2001.07d
• /
• pp.2345-2347
• /
• 2001

본 연구에서는 반도체형으로 생산된 가속도센서를 적용하여 거리를 측정하는데 있어 문제점에 대해 언급하고, bias drift error에 따른 적분 누적오차를 줄이기 위한 방법으로 random noise를 감소시키고 위치추정을 위한 데이터 융합에 가장 일반적으로 적용되는 Kalman Filter 알고리즘을 적용하여 가속도 데이터를 상대적 위치 데이터로 변환하여 거리측정에 적용하였다. 또한 가속도센서를 관절형 로봇에 부착시켜 실험하여 이동거리를 산출하는 실험을 수행하였다. 실험 결과 보상 알고리즘을 사용했을 때의 zero drift error과 누적오차가 감소됨을 알 수 있었다.

• Journal of the Korea Convergence Society
• /
• v.10 no.4
• /
• pp.17-23
• /
• 2019

In this paper, quality control (QC) is applied to each meteorological element of weather data collected from seven IoT sensors such as temperature. In addition, we propose a method for estimating the data regarded as error by means of machine learning. The collected meteorological data was linearly interpolated based on the basic QC results, and then machine learning-based QC was performed. Support vector regression, decision table, and multilayer perceptron were used as machine learning techniques. We confirmed that the mean absolute error (MAE) of the machine learning models through the basic QC is 21% lower than that of models without basic QC. In addition, when the support vector regression model was compared with other machine learning methods, it was found that the MAE is 24% lower than that of the multilayer neural network and 58% lower than that of the decision table on average.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2018.11a
• /
• pp.180-182
• /
• 2018

최근 빠르게 변화하는 산업 환경에서 뉴스 기사와 같은 비정형 데이터를 기반으로 산업 트랜드를 분석하기 위한 연구가 진행되고 있다. 뉴스와 같은 비정형 데이터를 기반으로 산업별 트랜드를 분석하기 위해서는 분석 대상 산업에 대한 많은 양의 시계열 데이터가 요구된다. 하지만, 수집된 비정형 데이터를 분류하면 산업별/기간별 일정하지 않은 데이터 분포를 보이거나, 특정 산업에 대해서는 특정 기간에 데이터가 존재하지 않은 경우가 발생하여 산업별 시계열 분석이 어려운 경우가 발생할 수 있다. 이에, 본 논문에서는 산업별/기간별 균일하지 못한 비정형 데이터의 분포를 보정하기 위한 방법으로 비정형 데이터 기반 산업간 유사도를 분석 기법을 제안한다. 산업별 유사도 분석을 위해 각 산업별 주요 키워드를 도출하고 토픽 모델링 기법을 이용하여 산업간 유사도 분석을 통해 산업별/기간별 비정형 데이터 부족현상을 보완하는 방법을 제시한다.

• Korean Journal of Remote Sensing
• /
• v.39 no.6_1
• /
• pp.1273-1281
• /
• 2023

Absolute radiometric calibration is a crucial process in converting the electromagnetic signals obtained from satellite sensors into physical quantities. It is performed to enhance the accuracy of satellite data, facilitate comparison and integration with other satellite datasets, and address changes in sensor characteristics over time or due to environmental conditions. In this study, field campaigns were conducted to perform vicarious calibration for the multispectral channels of the CAS500-1. Two valid field observations were obtained under clear-sky conditions, and the top-of-atmosphere (TOA) radiance was simulated using the MODerate resolution atmospheric TRANsmission 6 (MODTRAN 6) radiative transfer model. While a linear relationship was observed between the simulated TOA radiance of tarps and CAS500-1 digital numbers(DN), challenges such as a wide field of view and saturation in CAS500-1 imagery suggest the need for future refinement of the calibration coefficients. Nevertheless, this study represents the first attempt at absolute radiometric calibration for CAS500-1. Despite the challenges, it provides valuable insights for future research aiming to determine reliable coefficients for enhanced accuracy in CAS500-1's absolute radiometric calibration.

• The Korean Journal of Nuclear Medicine Technology
• /
• v.20 no.2
• /
• pp.21-26
• /
• 2016

Purpose Because of many advantages, PET-CT Scanners generally use CT Data for attenuation correction. By using CT based attenuation correction, we can get anatomical information, reduce scan time and make more accurate correction of attenuation. However in case metal artifact occurred during CT scan, CT-based attenuation correction can induce artifacts and quantitative errors that can affect the PET images. Therefore this study infers true SUV of metal artifact region from attenuation corrected image count -to- non attenuation corrected image count ratio. Materials and Methods Micro phantom inserted $^{18}F-FDG$ 4mCi was used for phantom test and Biograph mCT S(40) is used for medical test equipment. We generated metal artifact in micro phantom by using metal. Then we acquired both metal artifact region of correction factor and non metal artifact region of correction factor by using attenuation correction image count -to- non attenuation correction image count ratio. In case of clinical image, we reconstructed both attenuation corrected images and non attenuation corrected images of 10 normal patient($66{\pm}15age$) who examined PET-CT scan in SNUH. After that, we standardize several organs of correction factor by using attenuation corrected image count -to- non attenuation corrected count ratio. Then we figured out metal artifact region of correction factor by using metal artifact region of attenuation corrected image count -to- non attenuation corrected count ratio And we compared standard organs correction factor with metal artifact region correction factor. Results according to phantom test results, metal artifact induce overestimation of correction factor so metal artifact region of correction factors are 12% bigger than the non metal artifact region of correction factors. in case of clinical test, correction factor of organs with high CT number(>1000) is $8{\pm}0.5%$, correction factor of organs with CT number similar to soft tissue is $6{\pm}2%$ and correction factor of organs with low CT number(-100>) is $3{\pm}1%$. Also metal artifact correction factors are 20% bigger than soft tissue correction factors which didn't happened metal artifact. Conclusion metal artifact lead to overestimation of attenuation coefficient. because of that, SUV of metal artifact region is overestimated. Thus for more accurate quantitative evaluation, using attenuation correction image count -to-non attenuation correction image count ratio is one of the methods to reduce metal artifact affect.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.36 no.3
• /
• pp.202-209
• /
• 2000

In order to estimate demersal fishes using acoustic echo sounders and echo integrators, we consider several problems that are accurate bottom detection, optimum bottom offset and dead zone. The dead zone where no fish detection are summed distance resolution by the half pulse length of transmitted pulse and beam angle above the seabed. This paper has considered the dead-zone correction method to be technically correct for survey of demersal fishes. A comparison between near-bottom SV profiles acquired in Funka Bay, Hokkaido, of Japan, the East China Sea and the Yellow Sea, of Korea, with before and after the bottom correction, shows that the SV obtained with after the bottom correction is 2∼3dB higher than before the bottom correction in Funka Bay, and 17dB higher in East China Sea, too.

• Journal of Navigation and Port Research
• /
• v.38 no.2
• /
• pp.121-126
• /
• 2014

This paper suggests a new algorithm to provide low-cost GPS modules with DGPS service, which corrects the error vector in the already-calculated position by projecting range corrections to position domain using the observation matrix calculated from the satellite elevation and azimuth angle in the NMEA GPGSV data. The algorithm reduced the horizontal and vertical RMS error of U-blox LEA-5H module from 1.8m/5.8m to 1.0m/1.4m during the daytime. The algorithm has advantage in improving the performance of low-cost module to that of DGPS receiver by a software update without any correction in hardware, therefore it is expected to contribute to the vitalization of the future high-precision position service infrastructure by reducing the costumer cost and vender risk.

• Journal of IKEEE
• /
• v.23 no.4
• /
• pp.1257-1264
• /
• 2019

A 3-GSymbol/s/lane transceiver, which supports the mobile industry processor interface (MIPI) C-physical layer (PHY) specification version 1.1, is proposed. It performs channel mismatch correction to improve the signal integrity that is deteriorated by using three-level signals over three channels. The proposed channel mismatch correction is performed by detecting channel mismatches in the receiver and adjusting the delay times of the transmission data in the transmitter according to the detection result. The channel mismatch detection in the receiver is performed by comparing the phases of the received signals with respect to the pre-determined data pattern transmitted from the transmitter. The proposed MIPI C-PHY receiver is designed using a 65 nm complementary metal-oxide-semiconductor (CMOS) process with 1.2 V supply voltage. The area and power consumption of each transceiver lane are 0.136 ㎟ and 17.4 mW/GSymbol/s, respectively. The proposed channel mismatch correction reduces the time jitter of 88.6 ps caused by the channel mismatch to 34.9 ps.