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      • KCI등재

        원격탐사활용을 위한 딥러닝기술

        이명진,이원진,이승국,정형섭,Lee, Moung-Jin,Lee, Won-Jin,Lee, Seung-Kuk,Jung, Hyung-Sup 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6

        Recently, deep learning has become more important in remote sensing data processing. Huge amounts of data for artificial intelligence (AI) has been designed and built to develop new technologies for remote sensing, and AI models have been learned by the AI training dataset. Artificial intelligence models have developed rapidly, and model accuracy is increasing accordingly. However, there are variations in the model accuracy depending on the person who trains the AI model. Eventually, experts who can train AI models well are required more and more. Moreover, the deep learning technique enables us to automate methods for remote sensing applications. Methods having the performance of less than about 60% in the past are now over 90% and entering about 100%. In this special issue, thirteen papers on how deep learning techniques are used for remote sensing applications will be introduced.

      • KCI등재

        광 기록 시스템을 위한 멀티모드 변조 코드의 DC-억압 코드 선택 방법

        이명진,이준,이재진,Lee, Myoung-Jin,Lee, Jun,Lee, Jae-Jin 한국통신학회 2003 韓國通信學會論文誌 Vol.28 No.3C

        Multi-mode coding method is a reliable DC-suppression method. There are two ways to improve the DC-suppression performance. One is improving scrambler's performance, and the other is improving selection criteria. The latter uses the MRDS(minimum running digital sum) criterion. It is easy to calculate, but its performance goes down when the length of codeword is getting longer. The MSW(mean squared weight) criterion that is known as the best so far regardless of the length of codeword has the high complexity. In this paper, we present the new selection criteria, MPRDS(minimum peak RDS) and A BSRDS(absolute RDS). Their performance are close to the MSW, implementation is simple. And also we present the SC(sign change) that has a subsidiary role with the original selection criteria and improve the capacity. 신뢰할 수 있는 DC-억압(DC-suppression) 방법으로 멀티모드 코딩 방법이 있다. 멀티모드 코드의 DC-억압 성능을 향상시키는 방법에는 스크램블러(scrambler)의 성능을 개선하는 방법과 후보 코드워드의 선택 기준(selection criteria)을 개선하는 방법이 있다. 후보 코드워드의 선택 기준으로 흔히 사용되는 MRDS(minimum running digital sum) 기준은 계산 및 구현이 쉬운 반면에 후보 코드워드의 길이가 길어질수록 성능이 저하되는 단점이 있다. 코드 워드 길이에 무관하게 최고의 성능을 갖는 MSW(mean squared weight) 기준은 구현상의 복잡도가 높다는 단점을 가진다. 본 논문에서는 이론상으로 가장 효율이 우수한 MSW의 성능에 근접하면서, 하드웨어 구현이 용이한 MPR DS(minimum peak RDS)와 ABSRDS(absolut RDS)라는 새로운 선택 기준을 제시하였고, 기존의 선택 기준과 함께 사용 시 보조적인 역할을 하여 성능 향상을 도모할 수 있는 SC(sign change) 알고리즘을 제시하였다.

      • KCI등재

        네트워크 관리 프로그램 자동 생성 프레임워크

        이명진,김은희,신문선,이응재,류근호,Lee, Myung-Jin,Kim, Eun-Hee,Shin, Moon-Sun,Lee, Eung-Jae,Ryu, Keun-Ho 한국정보처리학회 2005 정보처리학회논문지 C : 정보통신,정보보안 Vol.12 No.6

        초고속 통신망의 등장으로 네트워크의 규모가 커지고 복잡해짐에 따라 다양한 네트워크 장비 및 호스트들에 대한 관리 역시 복잡해지고 중요하게 되었다. 최근에는 구조가 간단하고 구현이 용이한 SNMP를 기반으로 네트워크 관리 및 운용할 수 있는 네트워크 관리 시스템들이 많이 연구되어 왔다. 그러나 이들 시스템들은 네트워크 구조가 복잡해지면서 확장 및 효율성 측면에서 네트워크 부하의 증가, 네트워크 관리 범위의 한계 등 많은 문제점들이 드러나고 있다. 특히 네트워크 객체를 관리하는 정보를 개발하는 데 있어서 지금까지는 거의 네트워크 개발자의 수작업에 의존하며 그로 인한 네트워즈 개발비용 및 시간이 많이 소요된다. 따라서 이 논문에서는 네트워크 관리를 위해 필요한 정보를 자동 생성해 줄 수 있는 프레임워크를 제안한다. 제안한 프레임워크에서는 네트워크 장비와 함께 제공되는 MIB 데이터와 SNMP 라이브러리를 이용하여 네트워크 관리 프로그램을 자동으로 생성한다. 아울러 제안한 프레임워크를 통해 생성된 네트워크 프로그램을 이용하여 SNMP 네트워크 구성확장을 용이하게 할 뿐 만 아니라 네트워크 관리 프로그램의 개발 기간 단축과 유지 보수에서의 에러율을 현저히 저하시키는 효과를 가져올 수 있다. As the appearance of very high speed telecommunication network, volume of network, is enlarged and complicated, management of the various network equipments and hosting systems become more complicated and significant. Recently, there have been various researches on network management system that is capable of managing and operating the network environment based on SNMP (Simple Network Management Protocol). SNMP has many advantages, which is easy to implement and has a simple structure. However, as the network structure has become more complicated, it has caused a number of problems like the increase of network load and limit of the network management scope in terms of the network expansion and efficiency. Especially, it needs expensive cost and time for developing a network because many network developers are almost depended manually for developing it till now. In this paper, we propose a framework for network management program that automates the generation of information for network management. The Proposed framework is able to automatically generate a network management program by using information related with equipments which were provided along with the network equipments and SNMP library Thus, we ill make not only the SNMP network structure expansion become easier but also errors maintaining and development time of the network management program were dramatically reduced by using generated network program through our proposed framework.

      • KCI등재

        이중편파 레이더의 강우 추정 알고리즘별 수문학적 적용성 평가

        이명진,이충기,유영훈,곽재원,김형수,Lee, Myungjin,Lee, Choongke,Yoo, Younghoon,Kwak, Jaewon,Kim, Hung Soo 한국수자원학회 2021 한국수자원학회논문집 Vol.54 No.1

        Recently, many studies have been conducted to use the radar rainfall in hydrology. However, in the case of weather radar, the beam is blocked due to the limitation of the observation such as mountain effect, which causes underestimation of the radar rainfall. In this study, the radar rainfall was estimated using the Hybrid Sacn Reflectivity (HSR) technique for hydrological use of weather radar and the runoff analysis was performed using the GRM model which is a distributed rainfall-runoff model. As a result of performing the radar rainfall correction and runoff simulation for 5 rainfall events, the accuracy of the dual-polarization radar rainfall using the HSR technique (Q_H_KDP) was the highest with an error within 15% of the ground rainfall. In addition, the result of runoff simulation using Q_H_KDP also showed an accuracy of R2 of 0.9 or more, NRMSE of 1.5 or less and NSE of 0.5 or more. From this study, we examined the application of the dual-polarization radar and this results can be useful for studies related to the hydrological application of dual-polarization radar rainfall in the future.

      • KCI등재

        당뇨발 절단에 있어 원인 감염균과 치료 결과와의 관계

        이명진,이규열,김성수,김철홍,왕립,김현준,김기웅,Lee, Myoung Jin,Lee, Kyu Yeol,Kim, Sung Soo,Kim, Chul Hong,Wang, Lih,Kim, Hyeon Jun,Kim, Ki Woong 대한족부족관절학회 2013 대한족부족관절학회지 Vol.17 No.3

        Purpose: To evaluate correlation between the clinical results and causative bacteria in diabetic foot patients with lower extremity amputation. Materials and Methods: One hundred twenty nine patients(131 feet) of diabetic foot amputations were followed for more than one year. Wound cultures were done by deep tissue or bone debris at first visit to our clinics. Retrospective analysis was performed using chart review and interview with the patients. Depending on the culture result, level of amputation, reinfection, duration of treatment, death rate, patient satisfaction and admission dates were evaluated. Results: Microorganisms were confirmed in 114 cases. In the other 17 cases, there were no cultured microorganisms. In bacterial growth group, Methicillin-sensitive Staphylococcus aureus was the most common pathogen and accounted for 34 cases. As other common pathogens, there were Methicillin-resistant Staphylococcus aureus(24 cases) and mixed infection(14 cases). Mortality is no difference in each infected group. Mixed bacterial infected patients have higher reinfection, longer hospital day and duration of treatment, but there is no difference in patients satisfaction and pain at last follow up. Conclusion: The most common pathogen in diabetic foot patients with lower extremity amputation was Methicillin-sensitive Staphylococcus aureus, and mixed bacterial infected patients have higher reinfection rate, longer admission date and duration of treatment than other bacterial infected patients.

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