• 한국군사과학기술학회지
• /
• 제21권3호
• /
• pp.315-322
• /
• 2018

Due to the increasing demand for more rapid, precise and accurate geolocation of the targets on video frames from UAVs, an efficient and timely method for correcting sensor models of motion imagery is required. In this paper, we propose a method to adjust or correct sensor models of motion imagery frames using space resection via image matching with reference data. The proposed method adopts image matching between the motion imagery frames and the reference frames which are synthesized from reference data. Ground or reference control points are generated or selected through the matching process in near real time, and are used for space resection to get adjusted sensor models. Finally, more precise and accurate geolocation of the targets can possibly be done on the fly, and we have got the promising result on performance analysis in terms of the geolocation quality.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권8호
• /
• pp.533-542
• /
• 2020

This study estimates the nature of the relationship of entrepreneurship and business confidence on youth unemployment in the Philippines over the 2001-2017 period. The paper employed a range of cointegrating regression models, namely, autoregressive distributed lag (ARDL) bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models, dynamic OLS, fully modified OLS, and canonical cointegrating regression (CCR) estimation techniques. The Granger causality based on error correction model (ECM) was also performed to determine the causal link of entrepreneurship and business confidence on youth unemployment. The ARDL bounds testing approach, Johansen-Juselius (JJ) and Engle-Granger (EG) cointegration models confirmed the existence of long-run equilibrium relationship of entrepreneurship and business confidence on youth unemployment. The long-run coefficients from JJ and dynamic OLS show significant long-run and positive relationship of entrepreneurship and business confidence on youth unemployment. While results of the long-run coefficients from fully modified OLS and canonical cointegrating regression (CCR) found that only entrepreneurship has significant and positive relationship with youth unemployment in the long-run. The Granger causality based on error correction model (ECM) estimates show evidence of long-run causal relationship of entrepreneurship and business confidence on youth unemployment. In the short-run, increases in entrepreneurship and business confidence causes youth unemployment to decrease.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
• /
• pp.942-946
• /
• 2007

최근 새로운 지구중력장 모델의 개발로 인하여 중력관련 응용분야의 향상된 연구결과가 기대되고 있다. 본 연구는 지구중력장 모형으로부터 남한지역에 대한 고도이상(height anomalies)를 산정하고 지형보정 여부에 따른 지역별 지오이드고의 특성을 분석하여 국내 지오이드고 개발연구에 기여하고자 한다. 이를 위하여 다양한 중력 관측 자료를 조합한 5가지 지구중력장모형과 지형보정을 위한 ETOPO2모형을 선정하고 남한지역의 경 위도 $1^{\circ}{\times}1^{\circ}$ 6개 육상부 및 4개 해상부에 대한 30"격자의 지오이드고를 산정한 후, 국립해양조사원의 NORI-05모델에 의한 결과와 비교하였다. 육상부의 경우, GPS 관측이 수행된 수준점 50측점 및 삼각점 30측점을 점검점으로 선정하여 GPS/Leveling, NORI-05 및 5가지 지구중력장모형에 의한 지오이드고를 비교 분석하였다. 연구결과, EIGEN-CG03C 및 EIGEN-CG04C 중력장모형이 GPS/Leveling 결과에 근접함을 보였고 국내 정밀 지오이드고를 산정할 경우, 육상 및 해상에서 지형의 요철이 심한 지역일수록 정밀한 지형보정의 필요성을 확인할 수 있었다.

• 환경영향평가
• /
• 제15권2호
• /
• pp.93-100
• /
• 2006

In general, the verification to prediction formula in a national road and the main street of a town has been used recklessly in Korea. Therefore we investigated the validity of an existing prediction formula (NIER(87, 99), TR-Noise, KLC(2002)) with correction relationship which was based on both the prediction formular from apartment complex in the field and height 1.5m from the surface level. On the results of measuring the noise level form an isolated distance, the noise level showed that it was 4.5~5.5dB(A) by reason of becoming 2 folder far from a source. From the distribution of noise level measured by the apartment floors, the measurement point (1st floor) was 58.7~71.4dB(A) at its lowest level and the middle floors (3, 5, 7 and 10) were the highest distribution of noise level. From the analysis results on the application validity to an existing prediction formular (NIER(87, 99), TR-Noise, KLC(2002)) in the height 1.5m, the correction coefficients were 0.95~0.96 and the measured values were reasonably close to the predicted values, indicating the validity and adequacy of the predicted models. KLC(2002) model was found accurate within 3dB(A) with 36 data out of the total 42 data, showing the most accuracy among the predict models. However, the developed models have to improve the accuracy with a various of factors.

• 응용통계연구
• /
• 제29권1호
• /
• pp.61-73
• /
• 2016

본 논문에서는 다변량 시계열 모형 진단을 위해 잔차의 자기상관성 유무를 확인하기 위한 와일드 붓스트랩(wild bootstrap) Ljung-Box(LB) 검정통계량을 연구하였다. 일반적으로 LB 검정은 오차가 서로 독립이며 동일한 분포를 따른다는 IID 가정 하에 유도되는 점근적 카이제곱 분포를 이용한다. 한편 금융시계열 자료는 분산에 조건부 이분산성이 존재하기 때문에 오차의 IID 가정을 만족시키지 못하며 이에 따라 점근적 분포를 이용한 LB 검정은 제1종의 오류를 만족시키지 못하게 된다. 이를 극복하기 위해 와일드 붓스트랩을 이용한 LB 검정법을 제안하고 그 성질을 연구하고자 한다. 벡터자기회귀 모형과 벡터오차수정 모형 등의 다양한 다변량 시계열 모형을 이용하여 모의실험을 실시하는 한편, 코스피 200지수와 지수선물 자료를 이용한 실증분석을 통해 와일드 붓스트랩을 이용한 LB 검정법이 조건부 이분산성의 부정적인 영향을 효과적으로 제거할 수 있음을 입증하였다.

• 한국측량학회지
• /
• 제28권4호
• /
• pp.413-420
• /
• 2010

현재 전리층 지연은 GNSS 측량의 가장 큰 오차이다. 단일 주파수 수신기 사용자는 전리층 지연을 모델링 하거나 보정하기 위하여 전리층 보정 알고리즘을 적용해야 한다. 실시간 보정이 가능한 전리층 모델로는 항법메시지로 제공되는 GPS의 Klobuchar 모델과 Galileo의 NeQuick 모델이 있다. 이 연구에서는 두 모델의 효용성을 계절과 위도에 따라 평가하였다. 첫 번째 검증으로, 각 계절별로 수원 GPS 상시관측소 상공의 연직방향 총전자수를 산출하였다. 두 번째 검증으로는 위도가 서로 다른 3개 상시관측소(철원, 수원, 제주)에서의 VTEC을 계산해 관측소 위도와의 상관성을 분석하였다. 산출된 총전자수는 전지구 전리층 모델인 GIM 모델과 IRI 모델에서 제공하는 총전자수와 비교하였다. 그리고 GIM 모델과 IRI 모델을 기준으로 Klobuchar 모델과 NeQuick 모델의 RMS 차이를 각각 산출하였다. 그 결과, 계절과 관측소 위도와 무관하게 NeQuick 모델의 RMS 차이가 Klobuchar 모델의 RMS 차이보다 약 0.01~3.50 TECU 낮게 나타났다.

• 한국농공학회논문집
• /
• 제61권6호
• /
• pp.55-65
• /
• 2019

Universal Soil Loss Equation (USLE) is to estimate potential soil loss and has benefit in use with its simplicity. The equation is composed of five factors, one of the factors is the slope length and steepness factor (LS factor) that is for topographic property of fields to estimate potential soil loss. Since the USLE was developed, many equations to compute LS was suggested with field measurement. Nowadays the factor is often computed in GIS software with digital elevation model, however it was reported that the factor is very sensitive to the resolution of digital elevation model. In addition, the digital elevation model of high resolution less than 3 meter is required in small field application, however these inputs are not associate with the empirical models' backgrounds since the empirical models were derived in 22.1 meter field measurements. In the study, four equation to compute LS factor and two approaches to determine slope length and steepness were examined, and correction factor was suggested to provide reasonable precision in LS estimations. The correction factor is computed with field area and cell size of digital elevation model, thus the correction factor can be adapted in any USLE-based models using LS factor at field level.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권8호
• /
• pp.2278-2291
• /
• 2023

Imported ornamental fish should be quarantined because they can have dangerous diseases depending on their habitat. The quarantine requires a lot of time because quarantine officers collect various information on the imported ornamental fish. Inefficient quarantine processes reduce its work efficiency and accuracy. Also, long-time quarantine causes the death of environmentally sensitive ornamental fish and huge financial losses. To improve existing quarantine systems, information on ornamental fish was collected and structured, and a server was established to develop quarantine performance support software equipped with a text search engine. However, the long names of ornamental fish in general can cause many typos and time bottlenecks when we type search words for the target fish information. Therefore, we need a technique that can correct typos. Typical typo character calibration compares input text with all characters in a calibrated candidate text dictionary. However, this approach requires computational power proportional to the number of typos, resulting in slow processing time and low calibration accuracy performance. Therefore, to improve the calibration accuracy of characters, we propose a fusion system of simple Artificial Neural Network (ANN) models and character preprocessing methods that accelerate the process by minimizing the computation of the models. We also propose a typo character generation method used for training the ANN models. Simulation results show that the proposed typo character correction system is about 6 times faster than the conventional method and has 10% higher accuracy.

• Journal of Positioning, Navigation, and Timing
• /
• 제4권1호
• /
• pp.33-41
• /
• 2015

Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

• 한국산업정보학회논문지
• /
• 제18권4호
• /
• pp.61-72
• /
• 2013

수출증가가 경제성장을 초래한다는 수출주도성장가설에 관한 실증분석은 주로 개발도상국을 대상으로 하여 시계열 또는 횡단면 자료를 이용하여 지난 1970년대 초부터 최근까지 주요한 관심사가 되어 왔다. 이와 같은 수출주도성장가설에 관한 실증분석은 한국을 포함하여 주로 개발도상국가에 해당되는 아시아 국가들을 분석 대상으로 이루어져 왔다. 본 논문은 여러 국가들의 횡단면 분석보다는 한국의 제조산업에 초점을 맞추어 공적분검정과 오차수정모형을 추정하여 산업의 수출증가와 산업의 성장과의 관계를 조명함으로서 수출주도성장 가설을 검정하였다. 생산과 수출에서 비중이 큰 석유화학, 1차 금속 그리고 조립금속 운송기계를 포함하여 8개의 제조산업 중 6개의 제조산업이 양방향의 인과관계성을 보이고 있기 때문에 한국 제조산업에서는 전반적으로 실질수출액과 실질생산액에 사이에서 양방향의 인과성 관계가 존재한다고 결론을 내릴 수 있다.