• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.495-495
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• 2022

충적하천에 댐이 건설되면 하류 하천의 식생환경에 변화를 주게 된다. 이입, 활착 및 성장과정을 거치는 제외지 식생은 하천의 유량이 증가하면 소류력과 세굴로 인해 쓸려 내려가기 때문에, 일반적으로 홍수기를 거치면 식생 활착 및 성장 이전의 사주 모습으로 복귀하게 된다. 그러나 댐의 홍수조절 기능은 홍수기에도 하류 하천에 식생을 정착시킬 만큼 큰 소류력을 발생시키지 않아 결국 식생의 성장에 기여하게 된다. 또한 댐은 상류로부터 공급되었던 세립토를 차단시켜 하류 하천의 하상 표면을 조립화 시키게 되는데, 이는 하상의 고정력을 증대시켜 식생의 안정적인 성장을 돕게 된다. 하천에 식생이 자리잡게 되면 홍수 시 흐름에 대한 저항력의 증가로 수위가 높아질 수 있고 제방에 자리 잡은 식생의 이탈은 제방의 붕괴 위험을 증가시킬 수 있고, 식생 사주의 발달이 지속되면 이동사주에서 정지사주로 변화되어 기존의 충적하천 자체가 사라지게 될 수도 있고, 하류 하천의 수리 및 유사 거동 특성도 변화시켜, 기존과 다른 하천 경관 및 수생태계 출현할 수 있다. 국내에서는 2000년대부터 이러한 하천 제외지 사주의 식생 활착이 가속화되어 왔으며, 특히 내성천, 황강 등 댐이 건설된 낙동강 지류 하천에서 이런 현상이 두드러지게 나타났다. 이에 따라 관련된 많은 조사·연구들이 수행되었으며, 변화 원인으로 홍수조절, 유사공급 변화 및 기후변화가 제시되었다. 그러나 댐이 건설되지 않은 하천(비조절 하천)에 대한 조사와 같은 비교군 지역의 정량적 분석은 상대적으로 부족하여, 정확한 제외지 식생 증가에 대한 원인을 규명하지 못하였다고 판단된다. 이에 비조절 하천이라 판단되는 감천을 대상으로 식생의 변화 양상을 분석하고, 유사 및 기후변화 등과의 관계를 본 연구에서 제시하였다. 감천은 상류에 김천부항댐이 건설되었으나, 댐의 영향범위가 전체 유역면적의 약 6%로 비조절 하천에 가깝고 사주가 발달된 충적하천이므로, 하천 본류에 댐이 건설된 다른 지역과의 비교군으로 적합하다고 판단하였다. 대상 지점은 상, 중, 하류의 사주가 발달된 지역으로 선정하였고, 본 연구에서 개발된 이미지 처리기법을 적용하여 사주 면적을 계산하였다. 분석결과 식생역으로 전환된 모래 사주의 면적은 봄~초여름 강우량과 밀접한 관계가 있는 것으로 파악되었다. 특히 초여름까지 가뭄이 지속될 때, 식생역은 증가하였다. 그러나 식생 활착 이전에 큰 유량 발생 시 식생이 쓸려 내려가고 유사가 그 자리를 대체하여 다시 사주가 발달하는 과정을 보여 주어, 감천의 사주 식생역의 증가 추세는 없는 것으로 파악되었다. 향후 댐이 본류에 건설된 조절 하천과의 비교를 통해 사주의 식생역 증가에 대한 댐 건설의 영향을 파악할 것이다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.5
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• pp.373-386
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• 2024

The aim of this study is to establish a system for the early detection of high-density harmful marine organisms. Considering its accuracy and processing speed, YOLOv8m (You Only Look Once version 8 medium) is selected as a suitable model for real-time underwater image-based object detection. Applying the detection algorithm allows one to detect numerous fish and the occasional occurrence of jellyfish. The average precision, recall rate, and mAP (mean Average Precision) of the trained model are 0.931, 0.881, and 0.948 for the validation data, respectively. Also, the mAP for each class is 0.97 for fish, 0.97 for jellyfish and 0.91 for salpa, all of which exceed 0.9 (90%) for classes demonstrating the excellent performance of the model. A scientific sonar system is used to address the object-detection range and validate the detection results. Additionally, integrating and grid averaging the echo strength allows the detection results to be smoothed in space and time. Mean-volume back-scattering strength values are obtained to reflect the detection variability within the analysis domain. Furthermore, an underwater image-based object (marine lives) detection algorithm, an image-correction technique based on the underwater environmental conditions (including nights), and quantified detection results based on a scientific sonar system are presented, which demonstrate the utility of the detection system in various applications.

• Economic and Environmental Geology
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• v.55 no.5
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• pp.551-561
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• 2022

Geophysical exploration methods are very useful for generating high-resolution images of underground structures, and such methods can be applied to investigation of buried cultural properties and for determining their exact locations. In this study, image feature extraction and image segmentation methods were applied to automatically distinguish the structures of buried relics from the high-resolution ground-penetrating radar (GPR) images obtained at the center of Silla Kingdom, Gyeongju, South Korea. The major purpose for image feature extraction analyses is identifying the circular features from building remains and the linear features from ancient roads and fences. Feature extraction is implemented by applying the Canny edge detection and Hough transform algorithms. We applied the Hough transforms to the edge image resulted from the Canny algorithm in order to determine the locations the target features. However, the Hough transform requires different parameter settings for each survey sector. As for image segmentation, we applied the connected element labeling algorithm and object-based image analysis using Orfeo Toolbox (OTB) in QGIS. The connected components labeled image shows the signals associated with the target buried relics are effectively connected and labeled. However, we often find multiple labels are assigned to a single structure on the given GPR data. Object-based image analysis was conducted by using a Large-Scale Mean-Shift (LSMS) image segmentation. In this analysis, a vector layer containing pixel values for each segmented polygon was estimated first and then used to build a train-validation dataset by assigning the polygons to one class associated with the buried relics and another class for the background field. With the Random Forest Classifier, we find that the polygons on the LSMS image segmentation layer can be successfully classified into the polygons of the buried relics and those of the background. Thus, we propose that these automatic classification methods applied to the GPR images of buried cultural heritage in this study can be useful to obtain consistent analyses results for planning excavation processes.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.101-107
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• 2016

Due to the recent advancement in digital imaging technology, development of intervention equipment has become generalize. Video arbitration procedure is a process to insert a tiny catheter and a guide wire in the body, so in order to enhance the effectiveness and safety of this treatment, the high-quality of x-ray of image should be used. However, the increasing of radiation has become the problem. Therefore, the studies to improve the performance of x-ray detectors are being actively processed. Moreover, this intervention is based on the reference of the angiographic imaging and 3D medical image processing. In this paper, we propose a guidance system to support this intervention. Through this intervention, it can solve the problem of the existing 2D medical images based vessel that has a formation of cerebrovascular disease, and guide the real-time tracking and optimal route to the target lesion by intervention catheter and guide wire tool. As a result, the system was completely composed for medical image acquisition unit and image processing unit as well as a display device. The experimental environment, guide services which are provided by the proposed system Brain Phantom (complete intracranial model with aneurysms, ref H+N-S-A-010) was taken with x-ray and testing. To generate a reference image based on the Laplacian algorithm for the image processing which derived from the cerebral blood vessel model was applied to DICOM by Volume ray casting technique. $A^*$ algorithm was used to provide the catheter with a guide wire tracking path. Finally, the result does show the location of the catheter and guide wire providing in the proposed system especially, it is expected to provide a useful guide for future intervention service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2873-2878
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• 2009

Since Germany was unified in 1990, Korea became the only country that has the division in the world. This division has various bad effects on Korea's status with not reliable security, forfeited national impression, loss of tourism income and so on. Kim Jung-Il national defense committee chairman is the current dictator of North Korea which is a socialist state. Even if he is getting old, his successor is not proclaimed. In this situation, his sudden aggravation of health can cause seriously bad effects on diplomatic relations especially with South Korea. Therefore, the health information about Kim Jung-Il national defense committee chairman will be very important information. In order to deal this problem, we propose the method of extracting the Kim Jung-Il national defense committee chairman's health from his pictures which are recently open to the public by employing the diagnosis Ocular Inspection used in Oriental medicine. n order to get an accurate result, revising the Kim Jung-Il national defense committee chairman's pictures, which are not taken in a controled equal situation, is necessary. Therefore we employed the color analysis process with color revising and color differential comparing process without color revising. With these processes, we can make diagnosis of his diabetes and complications.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.2
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• pp.155-160
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• 2014

There are many image processing based algorithms and applications that fail when illumination change occurs. Therefore, the illumination change has to be detected then the illumination change occurred images need to be enhanced in order to keep the appropriate algorithm processing in a reality. In this paper, a new method for detecting illumination changes efficiently in a real time by using local region information and fuzzy logic is introduced. The effective way for detecting illumination changes in lighting area and the edge of the area was selected to analyze the mean and variance of the histogram of each area and to reflect the changing trends on previous frame's mean and variance for each area of the histogram. The ways are used as an input. The changes of mean and variance make different patterns w hen illumination change occurs. Fuzzy rules were defined based on the patterns of the input for detecting illumination changes. Proposed method was tested with different dataset through the evaluation metrics; in particular, the specificity, recall and precision showed high rates. An automatic parameter selection method was proposed for contrast limited adaptive histogram equalization method by using entropy of image through adaptive neural fuzzy inference system. The results showed that the contrast of images could be enhanced. The proposed algorithm is robust to detect global illumination change, and it is also computationally efficient in real applications.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.228-232
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• 2006

Ontology를 이용한 분산 시각미디어 검색 프레임워크인 HERMES(The Retrieval Framework for Visual Media Service)[1][2]는 보다 정확한 시각미디어 정보를 제공하고 웹서비스(Web Services)를 적용하여 HERMES/Provider[1][2]의 자율성을 보장한다. 웹기반의 분산 환경에서 Visual Media Data에 대한 지능적인 검색을 위하여 Meta Data와 Ontology를 이용하고 이기종간 통신을 위한 웹서비스를 제공하는 HERMES/ Broker[1][2]에서 예상치 못한 문제가 발생할 경우 문제를 해결할 수 있는 방법이 제시되지 않았다. 일반적으로 웹 서비스를 제공하는 서버에서 발생되는 결함은 해당 웹 서비스를 이용하여 개발되는 어플리케이션의 갑작스런 중단이나 오류의 원인이 된다. 따라서 결함을 해결할 수 있는 대책이 필요하며 HERMES의 Broker 서버 또한 웹 서비스의 결함이 발생하더라고 이를 효과적으로 해결하여 클라이언트에게 웹 서비스를 정상적으로 제공할 수 있는 결함허용 시스템 도입이 매우 중요하다. 때문에 HERMES 프레임워크가 클라이언트에게 신뢰성과 안정성이 보장된 웹 서비스의 제공을 위해서 Broker 서버에서 발생할 수 있는 결함을 효과적으로 극복할 수 있는 메커니즘이 필요하다. 본 논문에서는 Broker 서버 에서 웹 서비스와 관련된 결함이 발생하더라고 올바르게 운영될 수 있으며 분산 이미지 검색 프레임워크인 HERMES의 구조적 특성에 적합한 결함허용 시스템 설계 기법을 제안하여 HERMES 프레임워크가 클라이언트에게 투명성 있는 서비스를 제공하고 높은 신뢰성과 안정성이 확보될 수 있도록 구성하고자 한다. Query 수행을 여러 서버로 분산처리하게 함으로써 성능에 대한 신뢰성을 향상 시킬 수 있는 Load Balancing System을 제안한다.할 때 가장 효과적인 라우팅 프로토콜이라고 할 수 있다.iRNA 상의 의존관계를 분석할 수 있었다.수안보 등 지역에서 나타난다 이러한 이상대 주변에는 대개 온천이 발달되어 있었거나 새로 개발되어 있는 곳이다. 온천에 이용하고 있는 시추공의 자료는 배제하였으나 온천이응으로 직접적으로 영향을 받지 않은 시추공의 자료는 사용하였다 이러한 온천 주변 지역이라 하더라도 실제는 온천의 pumping 으로 인한 대류현상으로 주변 일대의 온도를 올려놓았기 때문에 비교적 높은 지열류량 값을 보인다. 한편 한반도 남동부 일대는 이번 추가된 자료에 의해 새로운 지열류량 분포 변화가 나타났다 강원 북부 오색온천지역 부근에서 높은 지열류량 분포를 보이며 또한 우리나라 대단층 중의 하나인 양산단층과 같은 방향으로 발달한 밀양단층, 모량단층, 동래단층 등 주변부로 NNE-SSW 방향의 지열류량 이상대가 발달한다. 이것으로 볼 때 지열류량은 지질구조와 무관하지 않음을 파악할 수 있다. 특히 이러한 단층대 주변은 지열수의 순환이 깊은 심도까지 가능하므로 이러한 대류현상으로 지표부근까지 높은 지온 전달이 되어 나타나는 것으로 판단된다.의 안정된 방사성표지효율을 보였다. $^{99m}Tc$-transferrin을 이용한 감염영상을 성공적으로 얻을 수 있었으며, $^{67}Ga$-citrate 영상과 비교하여 더 빠른 시간 안에 우수한 영상을 얻을 수 있었다. 그러므로 $^{99m}Tc$-transierrin이 감염 병소의 영상진단에 사용될 수

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.3
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• pp.247-256
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• 2014

Recently, camera and RADAR are used for more effective and accurate observation of the bird migration. In recent years, many researches on the bird migration using RADAR are undertaking and in active, thus causes the advent of "RADAR ornithology" as a new academic field. Due to the lack of accessibility, economic feasibility and mobility of weather RADAR, airport searching RADAR and tracking RADAR, Nowadays, a marine RADAR is widely used for a bird observation. In this paper, we deals with a study on development of a remote bird observation system using marine FMCW RADAR, which monitors, records and analyzes bird movement by RADAR image processing and target recognition technology. Also, we conduct first test and second test for availability of the developed system, and verify the system to apply in bird observation domain. Consequently, we figured problems out, and correct the problems to improve the system. The developed system can apply in other domains such as environment evaluation. In the future, the system needs to improve accuracy of statistics and to track migration route of bird.

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.1
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• pp.146-152
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• 2021

Accurate transfer of the maxillo-mandibular relationship to an articulator (i.e., mounting) is critical in prosthetic treatment procedures. In the current study, a PubMed search was performed to review the influencing factors for the maxillo-mandibular relationship's accuracy. The search included digital mounting as well as conventional gypsum cast mounting. The results showed that a greater amount of displacement was introduced during positioning the maxillary and mandibular models to interocclusal records rather than the dimensional change of registration material. Most intraoral scanners resulted in an accurate reproduction of the maxillo-mandibular relationship for posterior quadrant scanning; however, the accuracy was declined as the scan area increased to a complete arch scan. The digital mounting accuracy was also influenced by the image processing algorithms and software versions, especially for complete arch scans.

• Journal of the Korean Geotechnical Society
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• v.37 no.11
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• pp.119-129
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• 2021

The process of constructing the DB in the current geotechnical information DB system needs a lot of human and time resource consumption. In addition, it causes accuracy problems frequently because the current input method is a person viewing the PDF and directly inputting the results. Therefore, this study proposes building an automatic digital DB using AI (artificial intelligence) of boring logs. In order to automatically construct DB for various boring log formats without exception, the boring log forms were classified using the deep learning model ResNet 34 for a total of 6 boring log forms. As a result, the overall accuracy was 99.7, and the ROC_AUC score was 1.0, which separated the boring log forms with very high performance. After that, the text in the PDF is automatically read using the robotic processing automation technique fine-tuned for each form. Furthermore, the general information, strata information, and standard penetration test information were extracted, separated, and saved in the same format provided by the geotechnical information DB system. Finally, the information in the boring log was automatically converted into a DB at a speed of 140 pages per second.