Sunitinib에 의한 갑상선기능저하증

정윤재 ( Yun Jae Chung ) 대한내과학회 2010 대한내과학회지 Vol.79 No.5

Sunitinib is an oral multi-targeted tyrosine kinase inhibitor that is effective for advanced renal cell carcinoma and imatinib-resistant gastrointestinal stromal tumor. Currently, sunitinib is being investigated in multiple other tumor types including non-small cell lung cancer, breast cancer, colon cancer, and endocrine tumors. Recent studies have shown that sunitinib induces thyroid dysfunction, mainly hypothyroidism during treatment. The incidence of sunitinib-induced hypothyroidism has been reported to be 36~85%. Although several hypotheses have been suggested, the mechanisms by which sunitinib induces hypothyroidism are not clear. As considered the fairly high incidence of sunitinib-induced hypothyroidism, thyroid function should be regularly monitored in all patients treated with sunitinib. (Korean J Med 79:506-508, 2010)

에지 검출기 알고리즘을 활용한 고해상도 위성영상으로부터 객체 탐지에 관한 연구

정윤재(Yun-Jae Chung),최경환(Kyung-Hwan Choi),이응준(Eung-Joon Lee),손홍규 대한공간정보학회 2019 한국공간정보학회 학술대회 Vol.2019 No.5

Landsat-8 위성의 열적외 센서를 활용한 대기온도와 밝기온도의 계절별 상관관계 분석

정윤재 ( Yun-jae Choung ),정연인 ( Youn-in Chung ),최수영 ( Soo-young Choi ) 한국지리정보학회 2018 한국지리정보학회지 Vol.21 No.2

In general, Top Of Atmosphere(TOA) brightness temperature is closely related to air temperature. Brightness temperature can be derived from the Thermal Infra-Red Sensors (TIRS) of the earth observation satellites such as the Landsat series. The TIRS instrument of the Landsat-8 satellite collects the two spectral bands (Bands 10 and 11) that measure brightness temperature. In this research, the relationship between the air temperature data measured by the weather stations in Seoul, South Korea and the brightness temperature data separately derived from Bands 10 and 11 of the Landsat-8 satellite were assessed in the different seasons through the correlation analysis. The statistical results led to the following conclusions. First, brightness temperature is closely related to air temperature in order of Spring, Autumn, Winter and Summer. Second, when air temperature increases, brightness temperature also increases in Spring, Autumn and Winter but decreases in Summer. Third, Band 10 has a closer relationship to air temperature than Band 11.

라이다 데이터와 항공 정사영상을 활용한 인공 제방선 지도화

정윤재 ( Yun Jae Choung ),박현철 ( Hyen Cheol Park ),정연인 ( Youn In Chung ),조명희 ( Myung Hee Jo ) 한국지리정보학회 2011 한국지리정보학회지 Vol.14 No.1

Levee line mapping is critical to the protection of environments in river zones, the prevention of river flood and the development of river zones. Use of the remote sensing data such as LiDAR and aerial orthoimage is efficient for river mapping due to their accessibility and higher accuracy in horizontal and vertical direction. Airborne laser scanning (LiDAR) has been used for river zone mapping due to its ability to penetrate shallow water and its high vertical accuracy. Use of image source is also efficient for extraction of features by analysis of its image source. Therefore, aerial orthoimage also have been used for river zone mapping tasks due to its image source and its higher accuracy in horizontal direction. Due to these advantages, in this paper, research on three dimensional levee line mapping is implemented using LiDAR and aerial orthoimage separately. Accuracy measurement is implemented for both extracted lines generated by each data using the ground truths and statistical comparison is implemented between two measurement results. Statistical results show that the generated 3D levee line using LiDAR data has higher accuracy than the generated 3D levee line using aerial orthoimage in horizontal direction and vertical direction.

Landsat-8 위성영상 기반 수분지수 및 기계학습을 활용한 대구광역시의 지표수 탐지

정윤재 ( Yun-jae Choung ),김경섭 ( Kyoung-seop Kim ),박인선 ( In-sun Park ),정연인 ( Youn-in Chung ) 한국지리정보학회 2021 한국지리정보학회지 Vol.24 No.1

Detection of surface water features including river, wetland, reservoir from the satellite imagery can be utilized for sustainable management and survey of water resources. This research compared the water indices derived from the multispectral bands and the machine learning technique for detecting the surface water features from he Landsat-8 satellite image acquired in Daegu through the following steps. First, the NDWI(Normalized Difference Water Index) image and the MNDWI(Modified Normalized Difference Water Index) image were separately generated using the multispectral bands of the given Landsat-8 satellite image, and the two binary images were generated from these NDWI and MNDWI images, respectively. Then SVM(Support Vector Machine), the widely used machine learning techniques, were employed to generate the land cover image and the binary image was also generated from the generated land cover image. Finally the error matrices were used for measuring the accuracy of the three binary images for detecting the surface water features. The statistical results showed that the binary image generated from the MNDWI image(84%) had the relatively low accuracy than the binary image generated from the NDWI image(94%) and generated by SVM(96%). And some misclassification errors occurred in all three binary images where the land features were misclassified as the surface water features because of the shadow effects.

시그너처 해싱 기반 고성능 침입방지 알고리즘 설계 및 구현

왕정석,정윤재,권희웅,정규식,곽후근,Wang, Jeong-Seok,Jung, Yun-Jae,Kwon, H-Uing,Chung, Kyu-Sik,Kwak, Hu-Keun 한국정보처리학회 2007 정보처리학회논문지 C : 정보통신,정보보안 Vol.14 No.3

침입방지 시스템(IPS, Intrusion Prevention System)은 인라인모드(in-line mode)로 네트워크에 설치되어, 네트워크를 지나는 패킷 또는 세션을 검사하여 만일 그 패킷에서 공격이 감지되면 해당 패킷을 폐기하거나 세션을 종료시킴으로서 외부의 침입으로부터 네트워크를 보호하는 시스템을 의미한다. IPS에서 주로 사용되는 시그너처 기반 필터링에서는 침입방지시스템을 통과하는 패킷의 페이로드와 시그너처라고 불리는 공격패턴들과 비교하여 같으면 그 패킷을 폐기한다. 시그너처의 개수가 증가함에 따라 하나의 들어온 패킷에 대하여 요구되는 패턴 매칭 시간은 증가하게 되어 패킷지연 없이 동작하는 고성능 침입탐지시스템을 개발하는 것이 어렵게 되었다. 본 논문에서는 패턴 매칭 시간을 시그너처의 개수와 무관하게 하기 위하여 시그너처 해싱 기반에 기반한 고성능 침입방지시스템을 제안한다. 제안한 방식을 리눅스 커널 모듈 형태로 PC에서 구현하였고 월 발생기, 패킷발생기, 스마트비트라는 네트워크 성능 측정기를 이용하여 시험하였다. 실험결과에 의하면 기존 방식에서는 시그너처 개수가 증가함에 따라 성능이 저하되었지만 본 논문에서 제안한 방식은 성능이 저하되지 않았다. IPS(Intrusion Prevention Systems), which is installed in inline mode in a network, protects network from outside attacks by inspecting the incoming/outgoing packets and sessions, and dropping the packet or closing the sessions if an attack is detected in the packet. In the signature based filtering, the payload of a packet passing through IPS is matched with some attack patterns called signatures and dropped if matched. As the number of signatures increases, the time required for the pattern matching for a packet increases accordingly so that it becomes difficult to develop a high performance US working without packet delay. In this paper, we propose a high performance IPS based on signature hashing to make the pattern matching time independent of the number of signatures. We implemented the proposed scheme in a Linux kernel module in a PC and tested it using worm generator, packet generator and network performance measure instrument called smart bit. Experimental results show that the performance of existing method is degraded as the number of signatures increases whereas the performance of the proposed scheme is not degraded.

YOLO 알고리즘을 활용한 Planetscope 위성영상 기반 비닐하우스 탐지

김성수 ( Seongsu Kim ),정연인 ( Youn-in Chung ),정윤재 ( Yun-jae Choung ) 한국지리정보학회 2023 한국지리정보학회지 Vol.26 No.4

Detecting greenhouses from the remote sensing datasets is useful in identifying the illegal agricultural facilities and predicting the agricultural output of the greenhouses. This research proposed a methodology for automatically detecting greenhouses from a given Planetscope satellite imagery acquired in the areas of Gimje City using the deep learning technique through a series of steps. First, multiple training images with a fixed size that contain the greenhouse features were generated from the five training Planetscope satellite imagery. Next, the YOLO(You Only Look Once) model was trained using the generated training images. Finally, the greenhouse features were detected from the input Planetscope satellite image. Statistical results showed that the 76.4% of the greenhouse features were detected from the input Planetscope satellite imagery by using the trained YOLO model. In future research, the high-resolution satellite imagery with a spatial resolution less than 1m should be used to detect more greenhouse features.

미국 금리 스프레드를 이용한 한국 금리 스프레드 예측 모델에 관한 연구 : SVR-앙상블(RNN, LSTM, GRU) 모델 기반

정순호(Sun-Ho Jeong),김영후(Young-Hoo Kim),송명진(Myung-Jin Song),정윤재(Yun-Jae Chung),고성석(Sung-Seok Ko) 한국산업경영시스템학회 2020 한국산업경영시스템학회지 Vol.43 No.3

Interest rate spreads indicate the conditions of the economy and serve as an indicator of the recession. The purpose of this study is to predict Korea s interest rate spreads using US data with long-term continuity. To this end, 27 US economic data were used, and the entire data was reduced to 5 dimensions through principal component analysis to build a dataset necessary for prediction. In the prediction model of this study, three RNN models (BasicRNN, LSTM, and GRU) predict the US interest rate spread and use the predicted results in the SVR ensemble model to predict the Korean interest rate spread. The SVR ensemble model predicted Korea s interest rate spread as RMSE 0.0658, which showed more accurate predictive power than the general ensemble model predicted as RMSE 0.0905, and showed excellent performance in terms of tendency to respond to fluctuations. In addition, improved prediction performance was confirmed through period division according to policy changes. This study presented a new way to predict interest rates and yielded better results. We predict that if you use refined data that represents the global economic situation through follow-up studies, you will be able to show higher interest rate predictions and predict economic conditions in Korea as well as other countries.

증례 : 내분비 ; 갈색세포종, 신경절신경종이 동반된 갑상선유두암 1예

안지현 ( Ji Hyun Ahn ),이승은 ( Seung Eun Lee ),정윤재 ( Yun Jae Chung ),지경천 ( Kyong Choun Chi ),김미경 ( Mi Kyung Kim ),오연상 ( Yeon Sahng Oh ),김재택 ( Jae Taek Kim ) 대한내과학회 2009 대한내과학회지 Vol.76 No.1

갈색세포종은 대부분 산발적으로 발생하고 다른 종양들과 연관되어 있으나 한 종양 내에서 갈색세포종과 신경절신경종이 동반되는 경우는 극히 드물다. 또한 다발내분비종양 제2형에서는 갈색세포종이 갑상선수질암과 관련되어 있으나 갑상선유두암과는 관련성이 드물고 이들간의 관계는 명백히 알려져 있지 않다. 저자들은 갈색세포종과 신경절신경종, 갑상선유두암이 동시에 발생한 증례를 경험하였기에 문헌고찰과 함께 보고하는 바이다. Composite tumors containing pheochromocytoma and ganglioneuroma are very rare. We report a 70-year-old female with papillary thyroid carcinoma and a compound adrenal medullary tumor, composed of pheochromocytoma/ganglioneuroma. She had complained of epigastric discomfort 2 months earlier. Chest computed tomography and pancreatic magnetic resonance imaging revealed an intrathoracic goiter and pancreatic cystic tumor. She underwent an explorative laparotomy, and a left adrenalectomy was done because of an adrenal mass, not the pancreatic mass. The pathological diagnosis was a compound adrenal medullary tumor, composed of pheochromocytoma and ganglioneuroma. Although there was no evidence of thyroid cancer on fine needle aspiration cytology, a total thyroidectomy was done because of the neck discomfort. The pathological diagnosis was a papillary thyroid carcinoma, and she underwent radioactive iodine therapy. (Korean J Med 76:85-89, 2009)

耳鼻咽喉科 領域의 感染性 疾患에 대한 DL-8280(Tarivid�)의 效果

엄순길,정윤재,김춘길 최신의학사 1986 最新醫學 Vol.29 No.10