• The Korean Chronic Disease News
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• no.310
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• pp.1-18
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• 2006

강원도 인제군 보건소 권장원 소장/‘만성질환관리사업지원단’설치.운영/경기도립노인전문병원 2008년 건립/전통 한의약 세계적 브랜드로 육성/인터넷 이용 결핵환자 원격판독/“간호조무사 대체 법적 근거 마련”/건보-자보 일원화 추진 논란/“아시아 당뇨 대란 심각하다”/2010년 세계뇌졸중학회 서울 유치/“성분명처방, 시간 필요하다”/생동성 관련 품목허가취소 가처분 수용/KGMP“ 의약품 품목별로 평가한다”/식약청, 11번째 국산 신약 시판 허가/내년부터 의약품 설명서 알기 쉽게 교체/군부대장병 금연환경조성을 위한 이동금연클리닉 사업/외래환자 1위는‘서울아산병원’/‘대한네트워크병의원협회’발족/뇌혈관질환 50대 이후 사망원인 1위 차지/건강한 생활습관이 심혈관질환 예방의 첩경/

• Korean Journal of Remote Sensing
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• v.27 no.5
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• pp.587-599
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• 2011

As one measure of image interpretability, NIIRS(National Imagery Interpretability Rating Scale) has been used. Unlike MTF(Modulation Transfer Function), SNR(Signal to Noise Ratio), and GSD(Ground Sampling Distance), NIIRS can describe the quality of overall image at user's perspective. NIIRS is observed with human observation directly or estimated by edge analysis. For edge analysis specially manufactured artificial target is used commonly. This target, formed with a tarp of black and white patterns, is deployed on the ground and imaged by the satellite. Due to this, the artificial target-based method needs a big expense and can not be performed often. In this paper, we propose a new edge analysis method that enables to estimate NIIRS accurately. In this method, natural targets available in the image are used and characteristics of the target are considered. For assessment of the algorithm, various experiments were carried out. The results showed that our algorithm can be used as an alternative to the artificial target-based method.

• Spatial Information Research
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• v.23 no.2
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• pp.31-38
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• 2015

Remote sensing data is used to increasing efficiency on benthic cover type survey. Satellite and aerial imagery has variance of reflectance by water column effect even if bottom is consisted with same cover type and condition. This study tried to analyze advances of surveying extent and accuracy through water column correction of CASI-1500 hyperspectral image. Study area is coast of Gangneung city, South Korea where benthic environment is rapidly changing with bleaching of coral reef. Water column correction coefficient was estimated using regression models between water reflectance ($R_W$) and depth for sand bottom then the coefficients were applied to whole image. The results shows that expanded interpretable depth from 6-7m to 15m and decreased variation of reflectance by depth. Additionally, water column corrected reflectance image shows 13%p increased accuracy on benthic cover type classification.

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.410-418
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• 2023

Recently, advancements and commercialization in the field of maritime autonomous surface ships (MASS) has rapidly progressed. Concurrently, studies are also underway to develop methods for automatically surveying the condition of various on-board equipment remotely to ensure the navigational safety of MASS. One key issue that has gained prominence is the method to obtain values from analog gauges installed in various equipment through image processing. This approach has the advantage of enabling the non-contact detection of gauge values without modifying or changing already installed or planned equipment, eliminating the need for type approval changes from shipping classifications. The objective of this study was to identify a dynamically changing indicator needle within noisy images of analog gauges. The needle object must be identified because its position significantly affects the accurate reading of gauge values. An analog pressure gauge attached to an emergency fire pump model was used for image capture to identify the needle object. The acquired images were pre-processed through Gaussian filtering, thresholding, and morphological operations. The needle object was then identified through Hough Transform. The experimental results confirmed that the center and object of the indicator needle could be identified in images of noisy analog gauges. The findings suggest that the image processing method applied in this study can be utilized for shape identification in analog gauges installed on ships. This study is expected to be applicable as an image processing method for the automatic remote survey of MASS.

• Journal of Biomedical Engineering Research
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• v.25 no.5
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• pp.415-419
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• 2004

As the medical environment field has been facilitated by the rapid development of the information technologies and ubiquitous healthcare service based on network, the exchange of medical information between hospitals become more and more important. However, although most electrocardiograph vendors have provided digital modalities and their ECG data management systems, these were proprietary and not compatible with each other due to multiplicity of vendor specific formats and lack of open ECG data standards. Therefore, we aim to design and develop the ECG management system for archiving, saving, searching, viewing and transferring ECG data and the diagnostic reports. And the system is based on Clinical Document Architecture (CDA) developed by HL7 and DICOM Waveform Standard for the exchange of the structured diagnostic reports and the transfer of ECG data.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.105-110
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• 2000

Since the advent of high resolution satellite image, possibilities of applying various human interpretation mechanism to these images have increased. Also many studies about these possibilities in many fields such as computer vision, pattern recognition, artificial intellegence and remote sensing have been done. In this field of these studies, texture is defined as a kind of quantity related to spatial distribution of brightness and tone and also plays an important role for interpretation of images. Especially, methods of obtaining texture by statistical model have been studied intensively. Among these methods, texture measurement method based on cooccurrence matrix is highly estimated because it is easy to calculate texture features compared with other methods. In addition, these results in high classification accuracy when this is applied to satellite images and aerial photos. But in the existing studies using cooccurrence matrix, features have been chosen arbitrarily without considering feature variation. And not enough studies have been implemented for appropriate resolution selection in which cooccurrence matrix can extract texture. Therefore, this study reviews the concept of cooccurrence matrix as a texture measurement method, evaluates usefulness of several features obtained from cooccurrence matrix, and proposes appropriate resolution by investigating variance trend of several features.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.649-649
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• 2015

최근 기후변화 및 이상기후로 인해 하천환경 또한 급격하게 변화되고 있다. 변화되는 지구환경에 대응하기 위해 하천환경 대책과 하천생태계 보전/복원, 생물 보호, 친수기능 강화를 요구하고 있는 실정이다. 더욱이 소하천 건천화 및 하천환경관리에 대한 중요성은 대두되고 있으나 비용 및 인력투입 문제로 수위나 유량 등의 기초자료인 수위-유량 계측기술 및 대응연구가 미미한 실정이다. 체계적인 하천관리를 위해서는 신뢰성 있는 대상 하천의 수리량 자료 확보가 기본으로 요구된다. 이러한 중소하천의 관리의 신뢰도를 높이기 위해서는 실시간 수위유량 자료 확보가 필수적이다. 현재 하천 정비 계획 단계에서 수문모델링을 통해 중소하천의 유량을 산정하고 있지만 산발적으로 측정한 자료로는 검/보정에 한계가 있으며, 신뢰도를 확보하기 어려운 실정이다. 이수, 환경, 생태 등의 관점에서는 평상시 유량에 대한 실시간 정보가 매우 중요하다. 이에 체계적인 하천관리를 위해서는 중소하천에 대한 실시간 수리량 자료를 경제적으로 확보 할 수 있는 장치 개발 및 현장적용이 시급하다. 본 연구에서는 하천 횡단구조물이 가지고 있는 유량 측정의 편이성을 최대한 이용하여 급성장하고 있는 영상분석기술과 IT을 하천공학분야에 접목하여 중소하천의 수위와 유량을 실시간으로 원격 측정하는 WIA (Wireless Image Acquisition) 시스템을 개발하였다. WIA 시스템은 라즈베리파이 기반으로 적외선카메라를 이용하여 일정한 시간간격으로 횡단구조물의 상류, 중류, 구조물 주위의 흐름 영상을 확보하여 중앙처리장치로 전송하는 시스템으로 구성된다. WIA 시스템에서 전송된 영상은 본 연구에서 개발한 영상판독 S/W 및 H-Q 산정 S/W를 통해 하천의 수위를 판독하고 실시간으로 하천단면 수위유량 산정 자료 구축하는 자료로 활용된다. 현재 WIA 시스템의 성능 및 개선과 영상판독 S/W 및 H-Q 산정 S/W서버와의 연계운영 성능 평가를 통해 장치를 검증하는 단계에 있으며, 추후 서버구축을 통해 홍수 예 경보와 하천수질관리를 위한 기초자료로 활용될 것으로 기대된다. 또한 본 연구에서 개발하는 유량측정 시스템을 적용하면 기존 장비의 약 15% 예산으로 실시간 수리량 자료를 확보할 수 있을 것으로 예상된다.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1053-1065
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• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Progress in Medical Physics
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• v.18 no.3
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• pp.126-133
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• 2007

A head-and-neck phantom was designed in order to evaluate remotely the quality of the delivery dose of intensity modulated radiation therapy (IMRT) in each institution. The phantom is homogeneous or inhomogeneous by interchanging the phantom material with the substructure like an air or bone plug. Monte Carlo simulations were executed for one beam and three beams to the phantom and compared with ion chamber and thermoluminescent dosimeter (TLD) measurements of which readings were from two independent institutions. For single beam, the ion chamber results and the MC simulations agreed to within about 2% TLDs agreed with the MC results to within 2% or 7% according to which institution read the TLDs. For three beams, the ion chamber results showed -5% maximum discrepancy and those of TLDs were $+2{\sim}+3%$. The accuracy of the TLD leadings should be increased for the remote dose monitoring. MC simulations are a valuable tool to acquire the reliability of the measurements in developing a new phantom.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.147-161
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• 2011

Korea is surrounded by sea on three sides. This country has been supplied with a variety of aquaculture products cultivated on shores. There have recently been a lot of studies to have better understanding of the correct location and quantity of aquaculture farms for seaweed, ear shells and fish that cover a wide area of sea. And it is necessary to use the geographic information system and remote sensing to detect the aquaculture farms in order to effectively manage them. This study uses higher resolution aerial images(25 centimeters) than satellite images of 2~2.5-meter resolution that have been ever used, to conduct an accuracy detection of aquaculture farming facilities. It chooses as the case study area the Wando region that has aquaculture farms for seaweed, ear shells and fish. Aerial photos of the island were obtained in this study and an image correction of them was conducted. A spatial database was then constructed in this study and the detection of aquaculture farming facilities was performed. An analysis of facilities inside and outside the permitted areas reveals that there has been an increase in the facilities of seaweed and ear shell aquaculture farms outside the permitted areas. And also it tells that because the facilities of fish aquaculture farms have turned into those of ear shell aquaculture farms, there has been a decrease in permitted facilities, facilities detected on the basis of aerial images, and facilities outside the permitted area. It will be necessary to continuously control and manage the unpermitted facilities, regarding the increase in the facilities inside and outside the permitted area for seaweed and ear shell aquaculture farms. Because the facilities of aquaculture farms cover a wide range of areas(sea) in this manner, it is more effective to depend on high resolution aerial images than a field survey to detect and calculate the facilities. This study comes up with a plan for using aerial images to detect the location and the quantity of the fish aquaculture facilities and then effectively manage them.