• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.4
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• pp.313-318
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• 2014

In this paper, we propose a method for correcting the measurement axis twist that occurs in the process of wearing and each estimation method of joint in which the inertial measurement unit based in health arm by the method of operation upper limb rehabilitation equipment of hemiplegic patients. In order to verify the proposed method, it is fitted with a inertial measurement unit of the upper arm and forearm of the experimenter left arm, verified by comparing actual joint angle is detected by photographing the arbitrary posture, the angle that the estimated joint. Then, it was verified by comparing the applied front / rear techniques for correcting the measurement axis twist. A result of the experiment, before applying the measurement axis twist correction, joint, after but each match rate showed a weak concordance rate in 89.16% and were corrected, measurement axis twist, each concordance rate of joint agreement of 93.28% I understand that it has been 4.12% improvement in the rate.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.453-462
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• 2017

Double propensity score adjustment is an analytic solution to address bias due to incomplete matching. However, it is difficult to estimate the standard error of the estimated treatment effect when using double propensity score adjustment. In this study, we propose two bootstrap methods to estimate the standard error. The first is a simple bootstrap method that involves drawing bootstrap samples from the matched sample using the propensity score as well as estimating the standard error from the bootstrapped samples. The second is a complex bootstrap method that draws bootstrap samples first from the original sample and then applies the propensity score matching to each bootstrapped sample. We examined the performances of the two methods using simulations under various scenarios. The estimates of standard error using the complex bootstrap were closer to the empirical standard error than those using the simple bootstrap. The simple bootstrap methods tended to underestimate. In addition, the coverage rates of a 95% confidence interval using the complex bootstrap were closer to the advertised rate of 0.95. We applied the two methods to a real data example and found also that the estimate of the standard error using the simple bootstrap was smaller than that using the complex bootstrap.

• Korean Journal of Remote Sensing
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• v.30 no.5
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• pp.627-639
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• 2014

Accurate correction of surface effect from back scattered solar radiance is one of key issue to retrieve aerosol information from satellite measurements. In this study, two different methods are applied to retrieve surface reflectance by using single visible channel measurement from meteorological imager onboard COMS. The first one is minimum reflectance method, which composes the minimum value among previously measured reflectances at each pixel over a certain search window length. This method assumes that the darkest pixel corresponds to the aerosol-free condition, and deduces surface reflectance by correcting atmospheric scattering from the measured visible reflectance. The second method, named as the "atmospheric correction method" in this study, estimates the result by correcting aerosol and atmospheric scattering with ground-based observation of aerosol optical properties. The purpose of this study is to investigate the retrieval accuracy of the widelyused minimum reflectance method. Also, the retrieval error caused by the loading of background aerosol is mainly estimated. The comparison between surface reflectances retrieved from the two methods shows good agreement with the correlation coefficient of 0.87. However, the results from the minimum reflectance method are slightly overestimated than the values from the atmospheric correction method when surface reflectance is lower than 0.2. The average difference between the two results is 0.012 without the background aerosol correction. By considering the background aerosol effect, however, the difference is reduced to 0.010.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.829-831
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• 2004

다양한 개인 생체 정보 중에서 비교적 높은 인식률과 사용자 편의성을 제공하는 것은 홍채 인식이다. 그러나, 현재의 홍채 인식은 수동 영상 획득 시스템으로 비접촉식이라는 사용자 편의성을 제대로 제공을 못하는 것이 현실이다. 이것은 정밀한 홍채 영상 획득을 위하여 고해상도의 영상 획득 장비의 필요와 정확한 홍채 위치 수적의 어려움으로 인한 문제이다. 본 연구에서는 24bit 칼라 영상을 이용한 사랑의 얼굴 형태의 인식과 인식된 얼굴 형태에서의 눈 영역 추적 확대를 통한 실시간 자동 홍채 인식 시스템을 제안하였다. 제안된 시스템에서 얼굴의 피부색을 이용한 얼굴 인식 방법이외에 윤곽선 검출 정보를 이용한 기울기 보정과 눈 영역 검출을 실행하여, 이를 이용하여 눈 영역 추적과 확대를 실행을 한다. 그 다음 과정으로 눈 영역 영상에서 동공 중심을 획득하여 그 중심을 이은 선분으로 기준선을 잡아 홍채를 획득하는 과정으로 이루어지게 된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.13-14
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• 2014

본 논문에서는 랜드마크를 활용한 카메라의 외곡에 대한 보정 기술을 제안한다. 이를 위해 OpenCV를 활용하여 랜드마크와 카메라로 부터 입력받은 영상의 매칭점을 비교하여 매칭 결과를 도출하며 매칭된 결과를 시스템 관리자에게 알려 줌으로써 카메라의 외곡을 확인 할 수 있다. 또한 제안한 방법을 활용하여 카메라의 외곡뿐만 아니라 외곡 각도 계산 까지 가능함에 따라 외부 환경으로 인한 카메라의 각도 변환에 대응 할 수 있으며 시스템 사용자의 편의성 및 비용 감소에도 도움이 될 것이다.

• Journal of Veterinary Clinics
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• v.27 no.2
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• pp.170-174
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• 2010

With the ease availability of statistical software and powerful computers the application of statistical methods in domestic veterinary journals is on the increase. In parallel with this benefit, statistical errors are not uncommon even in renowned scientific and medical journals. These errors may lead to misinterpretation of the data, thereby, subjected to faulty conclusions. A systematic review of articles published in 8 issues of the Journal of Veterinary Clinics during 2006-2007 was performed to assess the statistical methodology and reporting. Ninety-four (72.9%) articles of the 129 original articles screened included any inferential statistical analysis in the article, including comparison of 3 or more groups (53 or 56.4%), comparison of independent 2 groups (40 or 42.6%), and paired t-test (9 or 9.6%) in order. Of the 94 articles in which statistical analysis was done 62 (or 66.0%) had at least 1 statistical error. Errors included failure to apply or incorrectly applying independent Student's t-test for paired data or vice versa, inappropriate use of t-test for more than 3 groups and failure in chi-square test to consider continuity-correction for small expected frequencies. The common errors in ANOVA were failure to validate assumption of the test, inappropriate post-hoc multiple-comparison and incorrect assumption of independence of data in repeated measures design. Reporting errors included failure to state statistical methods and failure to state specific test if more than 1 test was done. It is suggested that an editorial effort would be necessary to achieve the improvement of appropriate statistical procedures through the publication of statistical guidelines to author(s).

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.176-176
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• 2011

전 세계적으로 국지성 집중호우의 발생이 증가하고 있다(건설교통부, 2007 ; 김광섭과 김종필, 2008). 특히, 국내의 경우 급속한 도시화에 의한 기상 변화의 영향으로 서울 및 중소도시 지역에 집중호우의 발생이 크게 증가하였고, 산악지역에 발생한 강도 높은 집중호우로 인하여 돌발홍수의 발생 또한 급증하고 있다. 이처럼 집중호우는 단시간에 큰 강우강도를 동반하여 돌발홍수를 유발할 뿐만 아니라 잦은 발생으로 인하여 막대한 재산 손실과 인명 피해를 초래하고 있다(유철상 등, 2007a). 현실적으로 이러한 이상호우에 의한 피해를 원천적으로 방지하는 것은 불가능하다. 그러나 어느 정도(accuracy) 이상의 강우예측이 전제된다면 피해의 규모를 크게 줄일 수 있는 것이 또한 사실이다(유철상 등, 2007b). 집중호우로 인한 피해의 주범은 수 시간이내에 발생하는 돌발홍수로서 이에 대한 피해를 최소화하기 위해서는 정확한 초단기예측 강우가 절실한 상황이다. 이에 본 연구에서는 초단기예측 강우의 보정을 목적으로 G/R 비를 예측하였다. 먼저, 강우의 임계치와 누적시간에 따른 G/R 비의 특성변화를 검토하여 G/R 비 산정방법을 개선하였다. 초단기예측 강우로 캐나다 McGill 대학교에서 개발된 MAPLE 예측강우를 사용하였으며, 이를 보정하기 위하여 칼만 필터를 이용하여 G/R 비를 실시간으로 예측하였다. 이러한 분석은 레이더 자료의 품질이 가장 양호할 것으로 판단되는 내륙지역을 대상으로 하였다. 결과적으로 강우의 임계치와 누적시간의 고려를 통해 안정화된 G/R 비의 산정이 가능하였으며, 이를 이용함으로서 예측 G/R 비의 정확성이 보다 향상되었다.

• Journal of Chest Surgery
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• v.40 no.6 s.275
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• pp.420-427
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• 2007

Background: Postpneumonectomy empyema (PPE) due to bronchopleural fistula (BPF) can be a surgical challenge for surgeons. We analyzed the follow-up outcomes after performing omentopexy and thoracoplasty for the treatment of PPE with BPF after pneumonectomy. Material and Mehod: Between December 1991 and January 2006, 9 patients underwent BPF closure using an omental pedicled flap for the treatment of PPE with BPF after pneumonectomy. There were 7 males and 2 females (mean age: $45.9{\pm}9$ years). The patients were followed up for a mean of 58 months (median: 28 months, range: $6{\sim}169$). When we performed omentopexy, the surgical procedures for empyema were thoracoplasy for 8 patients and the Clagett procedure for 1 patient. Thoracoplasty was performed for the latter patient due to recurrence of empyema, Result: For the 8 patients who were treated by omentopexy and thoracoplasty, there was 1 operation-related death due to sepsis. During follow up, 1 patient, who was treated by omentopexy and a Clagett procedure, died of acute hepatitis 40 months postoperatively. The early mortality was 11.1% (8/9). Of the 8 patients, including the 1 late death patient, successful closure of the BPF were achieved in all patients (8/9) and the empyema was cured in 7 patients (7/8). Conclusion: The BPF closure using an omental pedicled flap was an effective method for treating PPE with BPF due to 75-destroyed lung, and thoracoplasty with simultaneous omentopexy was effective and safe for removing dead space if the patient was young and in a good general condition.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.1
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• pp.59-67
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• 1995

Blood lead assay by $D_2$ lamp background correction method of atomic absorption spectrophotometer(AAS) with wavelength of 283.3 nm is most popular in occupational health practice in Korea. On the other hand, $D_2$ lamp background correction method with wavelength of 217.0 nm is also often used in general chemical analysis for lead assay in general purpose. But both methods have some weakness of background correction which brought direct effect on the results of analysis. Recently blood lead assay with polarized Zeeman effect of AAS was introduced and is now preferred in many laboratory than $D_2$ correction method in blood lead analysis. But still AAS with $D_2$ lamp are widely used in the field of occupational health in Korea. This study compared blood lead assay data with $D_2$ correction methods(283.3 and 217.0 nm) and with that of polarized Zeeman effect correction method to evaluate the validity of 02 correction methods. The results obtained were as follows; 1. Taking the value of polarized Zeeman effect method as reference value of 1.00, the mean relative value of $D_2$ correction method with wavelength of 217.0 nm was 0.92 and that with wavelength of 283.3 nm was 0.90 respectively in the analysis of blood lead whose value were below $20.0{\mu}g/dl$(p<0.001). Both mean values were statistically smaller than polarized Zeeman effect correction method. But in the analysis of blood whose value were between 20.0 to $20.0{\mu}g/dl$, the mean relative value of $D_2$ correction method was 0.96 in both wavelength and did not differ from polarized Zeeman effect method(p<0.001). There was no difference of blood lead between $D_2$ correction method and polarized Zeeman effect method in the analysis of blood lead whose value were over $40.0{\mu}g/dl$. 2. The variations of background correction value in polarized Zeeman effect method were not changed by increase of blood lead, but those in $D_2$ correction methods were increased by the increase of blood lead. While then relative standard deviation(RSD) of data measured by Zeeman effect method were decreased by the increase of blood lead, those by $D_2$ methods were nol differed by the increase of blood lead.

• Korean Journal of Remote Sensing
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• v.28 no.2
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• pp.191-202
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• 2012

A high resolution satellite imagery such as KOMPSAT-2 includes a material containing rational polynomial coefficient (RPC) for three-dimensional geopositioning. However, image geometries which are calculated from the RPC must have inevitable systematic errors. Thus, it is necessary to correct systematic errors of the RPC using several ground control points (GCPs). In this paper, we propose an efficient method for automatic correction of image geometries using tie points of a stereo pair and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) without GCPs. This method includes four steps: 1) tie points extraction, 2) determination of the ground coordinates of the tie points, 3) refinement of the ground coordinates using SRTM DEM, and 4) RPC adjustment model parameter estimation. We validates the performance of the proposed method using KOMPSAT-2 stereo pair. The root mean square errors (RMSE) achieved from check points (CPs) were about 3.55 m, 9.70 m and 3.58 m in X, Y;and Z directions. This means that we can automatically correct the systematic error of RPC using SRTM DEM.