• 자원환경지질
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• 제39권4호
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• pp.403-416
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• 2006

자력탐사는 신속, 간편, 저렴한 물리탐사법으로서 자원 탐사, 지질구조 조사, 토목, 환경 문제 등 다양한 분야에 효과적으로 적용된다. 특히, 항공 탐사는 유용 지하자원의 부존 및 개발에 대한 잠재력 평가 뿐 아니라 국토 전반에 대한 지질 특성 평가를 통하여 국토의 효율적인 활용 계획의 수립과 지질 재해의 예측 등 국가의 기본적인 지구과학 정보를 제공한다. 자력탐사는 가장 역사가 오래된 물리탐사법으로서, 우리나라에도 비교적 일찍 도입되었다. 일본 강점기에도 지구자기장을 관측하였고 광상조사와 온천조사에 이용하였다는 기록이 있다. 해방과 한국전쟁의 혼란이 끝난 1950년대 중반부터 산업화를 위한 지하자원의 개발이 요구됨에 따라 우라늄, 철광을 비롯한 금속 광물자원, 석탄 그리고 지하수 등을 대상으로 자력탐사가 활발하게 수행되었는데, $1958{\sim}1959$년의 Apache 항공 자력탐사와 그 결과 확인된 이상대에 대한 육상 확인 자력탐사들을 대표적인 사례로 들 수 있다. 1970, 80년대는 물리탐사 전문 인력이 많이 배출되었고, 탐사 장비가 현대화되었으며, 컴퓨터가 활용됨으로써 탐사, 자료처리 및 해석 기술이 비약적으로 발전하였다. 1981년 한국동력자원연구소에서는 전국토에 대한 광역적인 자력 이상 분포를 파악하여 지질 구조를 규명하고 광상 부존의 잠재력을 평가하기 위한 항공 자력탐사 프로젝트를 수행하였는데, 이것은 이 시기에는 이러한 대형 프로젝트를 수행할 만한 기술, 인력 그리고 연구비 등을 가지고 있었다는 것을 보여준다. 그러나 1980년대 중반부터 시작된 광업의 쇠퇴는 자력탐사를 비롯한 물리탐사의 관심이 전통적인 광물, 에너지 자원에서 새로운 지하자원으로 대두한 지하수, 지열 등으로 옮겨갔으며, 물리탐사의 본질인 지질 구조 조사 연구가 활발해졌다. 또한 1990년대 이후 등장한 토목, 환경 물리탐사라는 새로운 대상에 대한 관심이 높아지면서 자력탐사도 부지평가, 지반조사 지하 매장물 환경오염 등의 문제에 다양한 방법으로 접근하고 있다.

• Journal of Astronomy and Space Sciences
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• 제34권4호
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• pp.237-244
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• 2017

Magnetic flux ropes, often observed during intervals of interplanetary coronal mass ejections, have long been recognized to be critical in space weather. In this work, we focus on magnetic flux rope structure but on a much smaller scale, and not necessarily related to interplanetary coronal mass ejections. Using near-Earth solar wind advanced composition explorer (ACE) observations from 1998 to 2016, we identified a total of 309 small-scale magnetic flux ropes (SMFRs). We compared the characteristics of identified SMFR events with those of normal magnetic cloud (MC) events available from the existing literature. First, most of the MCs and SMFRs have similar values of accompanying solar wind speed and proton densities. However, the average magnetic field intensity of SMFRs is weaker (~7.4 nT) than that of MCs (~10.6 nT). Also, the average duration time and expansion speed of SMFRs are ~2.5 hr and 2.6 km/s, respectively, both of which are smaller by a factor of ~10 than those of MCs. In addition, we examined the geoeffectiveness of SMFR events by checking their correlation with magnetic storms and substorms. Based on the criteria Sym-H < -50 nT (for identification of storm occurrence) and AL < -200 nT (for identification of substorm occurrence), we found that for 88 SMFR events (corresponding to 28.5 % of the total SMFR events), substorms occurred after the impact of SMFRs, implying a possible triggering of substorms by SMFRs. In contrast, we found only two SMFRs that triggered storms. We emphasize that, based on a much larger database than used in previous studies, all these previously known features are now firmly confirmed by the current work. Accordingly, the results emphasize the significance of SMFRs from the viewpoint of possible triggering of substorms.

• 대한조선학회논문집
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• 제51권2호
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• pp.130-137
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• 2014

As one of the largest shipbuilding company in the world, STX Offshore & Shipbuilding currently developed an inventory managing system for steel-plates, which is applied to their steel stock yard. In a traditional way to manage steel yard, almost every work has been done by manually. The manual steel-plate piling process caused some problems such as process delay due to piling errors and the uncertainty of work plan due to lack of information. To solve these problems, we developed an integrated inventory managing system based on real-time crane tracking system which automatically updates steel-plates' piling status. We built the integrated steel-plate database, developed several programs including steel-plate input program, real-time steel-plate monitoring program and steel-yard management program, and constructed hardware system for tracking magnetic cranes. As a result, a supervisor of steel-yard can manage the inventory of steel-plates efficiently and furthermore plan an efficient piling schedule and crane working schedule.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 A
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• pp.371-374
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• 1998

The construction of the transportation history database system is to serve the scheduling and seat inventory controling. Recently, lots of countries have been faced with the advance era because of the new railway transportation system, like the high speed railway and/or magnetic levitation vehicle system. This can be reasonably translated as those of operators are willing to provide the more various and high quality schedule to the customer. Those operators these ideas make possible to forecast that scheduling process is going to be complicated more and more. The seat inventory control, so to speak Yield Management System(YMS), goes a long way to improve the total passenger revenue at the railway business. The YMS forecasts the number of the last reservation value(DCP# END) and recommends the optimal values on the seat sales. The history database system contains infra-data(ie, train, seat, sales) that will be the foundation of scheduling and seat inventory control application programs. The development of the application programs are reserved to the next step. The database system is installed on the pc platform (IBM compatible), using the DB2(RDBMS). And at next step, the platform and DBMS will be considered whether they can meet the users' requirement or not.

• Journal of Cancer Prevention
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• 제23권4호
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• pp.183-190
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• 2018

Background: As the number of big-cohort studies increases, validation becomes increasingly more important. We aimed to validate administrative database categorized as colorectal cancer (CRC) by the International Classification of Disease (ICD) 10th code. Methods: Big-cohort was collected from Clinical Data Warehouse using ICD 10th codes from May 1, 2003 to November 30, 2016 at Seoul National University Bundang Hospital. The patients in the study group had been diagnosed with cancer and were recorded in the ICD 10th code of CRC by the National Health Insurance Service. Subjects with codes of inflammatory bowel disease or tuberculosis colitis were selected for the control group. For the accuracy of registered CRC codes (C18-21), the chart, imaging results, and pathologic findings were examined by two reviewers. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CRC were calculated. Results: A total of 6,780 subjects with CRC and 1,899 control subjects were enrolled. Of these patients, 22 subjects did not have evidence of CRC by colonoscopy, computed tomography, magnetic resonance imaging, or positron emission tomography. The sensitivity and specificity of hospitalization data for identifying CRC were 100.00% and 98.86%, respectively. PPV and NPV were 99.68% and 100.00%, respectively. Conclusions: The big-cohort database using the ICD 10th code for CRC appears to be accurate.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.702-708
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• 2013

Underwater TRN (Underwater Terrain Referenced Navigation) estimates an underwater vehicle state by measuring a distance between the vehicle and undersea terrain, and comparing it with the known terrain database. TRN belongs to absolute navigation methods, which are used to compensate a drift error of dead reckoning measurements such as IMU (Inertial Measurement Unit) or DVL (Doppler Velocity Log). However, underwater TRN is different to other absolute methods such as USBL (Ultra-Short Baseline) and LBL (Long Baseline), because TRN is independent of the external environment. As a magnetic-field-based navigation, TRN is a kind of geophysical navigation. This paper develops an EKF (Extended Kalman Filter) formulation for underwater TRN. A filter propagation part is composed by an inertial navigation system, and a filter update is executed with echo-sounder measurement. For large-initial-error cases, an adaptive EKF approach is also presented, to keep the filter be stable. At the end, simulation studies are given to verify the performance of the proposed TRN filter. With simplified sensor and terrain database models, the simulation results show that the underwater TRN could support conventional underwater navigation methods.

• Transactions on Electrical and Electronic Materials
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• 제15권4호
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• pp.230-234
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• 2014

Automatic detection of disease helps medical institutions that are introducing digital images to read images rapidly and accurately, and is thus applicable to lesion diagnosis and treatment. The aim of this study was to apply a symmetry contribution algorithm to unsharp mask filter-applied MR images and propose an analysis technique to automatically recognize brain tumor and edema. We extracted the skull region and drawed outline of the skull in database of images obtained at P University Hospital and detected an axis of symmetry with cerebral characteristics. A symmetry contribution algorithm was then applied to the images around the axis of symmetry to observe intensity changes in pixels and detect disease areas. When we did not use the unsharp mask filter, a brain tumor was detected in 60 of a total of 95 MR images. The disease detection rate for the brain was 63.16%. However, when we used the unsharp mask filter, the tumor was detected in 87 of a total of 95 MR images, with a disease detection rate of 91.58%. When the unsharp mask filter was used in the pre-process stage, the disease detection rate for the brain was higher than when it was not used. We confirmed that unsharp mask filter can be used to rapidly and accurately to read many MR images stored in a database.

• 한국군사과학기술학회지
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• 제22권6호
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• pp.735-744
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• 2019

One of the key factors for recognition performance in the automatic target recognition for synthetic aperture radar imagery(SAR-ATR) system is reliability of the SAR target database. To achieve optimal performance, the database should be constructed using the images obtained under the same operating condition as the SAR sensor. However, it is impractical to have the extensive set of real-world SAR images, and thus those from the electro magnetic prediction tool with 3-D CAD models are suggested as an alternative where their reliability can be always questionable. In this paper, a method for similarity assessment between target SAR images is presented inspired by the fact that a target SAR image is mainly characterized by the features of scattering centers. The method is demonstrated using a variety of examples and quantitatively measures the similarity related to reliability. Its assessment performance is further compared with that of the existing metric, structural similarity(SSIM).

• 한국전자파학회논문지
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• 제26권2호
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• pp.189-195
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• 2015

전자기파 시뮬레이션을 통해 SAR 영상을 생성하는 방법은 그동안 많은 연구가 이루어져 왔다. 특히, SAR(Synthetic Aperture Radar) 영상 생성 전용 분석 S/W가 있긴 하지만, 대부분 국방 및 보안 특성상 일반인들에게 공개되지 않고 있다. 본 논문에서는 범용 EM(Electro Magnetic) simulator를 이용하여 다양한 방법으로 사실적 표적 모델을 분석하는 방법에 대해 설명한다. 특히, 역합성 개구면 레이다(inverse synthetic aperture radar) 영상을 생성하고, 처리하는 방법을 설명한다. 이 방법을 잘 활용하면, 막대한 비용이 들어가는 수많은 실제 표적들에 대한 표적 인식(target recognition) 데이터베이스 구축을 상대적으로 저렴하고 시간효율적으로 수행할 수 있게 된다.

• 한국자기공명학회논문지
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• 제14권1호
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• pp.45-54
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• 2010

HP1423 (Y1423_HELPY) is a conserved hypothetical protein from H. pylori strain 26695. However, Sequence Blast result indicates that HP1423 belongs to S4 (PF01479) superfamily. According to Pfam database, the S4 domain is a small domain consisting of 60-65 amino acid residues, that probably mediates binding to RNA. In this study, we report the sequence-specific backbone resonance assignment of HP1423, which has 84 amino acid residues. We could assign unambiguously about 88% of all $^{1}H_{N}$, $^{15}N$, $^{13}C_{\alpha}$, $^{13}C_{\beta}$ and $^{13}C=O$ resonances. We could not detect the resonances from residues 15-20, and disappearance of these peaks seems to be related with the intermediate-conformational exchange. These assigned NMR peaks of HP1423 can be used for studying the role of protein dynamics in millisecond timescale, and Protein-RNA binding.