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박용민,장건익 한국전기전자재료학회 2001 전기전자재료학회논문지 Vol.14 No.7
Bi-2212 HTS tube was fabricated by centrifugal forming and partial melting processes. Bi-2212 bulk tube has been optimized to achieve smooth surface and uniform thickness. The slurry was prepared in the mixing ratio of 10:1 between Bi-2212 powder and binder and initially charged into the rotating mold under the speed of 300~450 rpm. Heat-treatment was performed at the temperature ranges of 860~89$0^{\circ}C$ in air for partial melting. the HTS tube fabricated by centrifugal forming process at 89$0^{\circ}C$ under the rotating speed of 450 rpm was highly densified and the plate-like grains with more than 20${\mu}{\textrm}{m}$ were well oriented along the rotating axis. The measured Tc and J$_{c}$ at 10K on specimen heat treated at 89$0^{\circ}C$ was around 85 K and 1,200 A/$\textrm{cm}^2$ respectively.y.
박용민,강수명,채지훈,이준재 한국멀티미디어학회 2018 멀티미디어학회논문지 Vol.21 No.5
Recently, development of deep learning has shown better image classification result than human. According to recent research, a hidden layer of deep learning is deeper, and a preservation of extracted features shows good results. However, in the case of general images, the extracted features are clear and easy to sort. This study aims to classify plant leaf images. This plant leaf image has high similarity in each image. Since plant leaf images have high similarity not only between images of different species but also within the same species, classification accuracy is not increased by simply extending the hidden layer or connecting the layers. Therefore, in this paper, we tried to improve the hidden layer of the algorithm called DenseNet which shows the recent excellent classification results, and compare the results of several different modified layers. The proposed method makes it possible to classify plant leaf images collected in a natural environment more easily and accurately than conventional methods. This results in good classification of plant leaf image data including unnecessary noise obtained in a natural environment.
MPLS환경에서의 Label Aggregation을 통한 Multicast 지원 방안
박용민,김경목,오영환,Park, Pong-Min,Kim, Gyeong-Mok,Oh, Young-Hwan 대한전자공학회 2005 電子工學會論文誌-TC (Telecommunications) Vol.42 No.10
최근 인터넷 사용자 수의 증가에 따른 백본망의 트레픽 증가와 다양한 어플리케이션의 등장으로 많은 대역폭을 요구 하게 되었고 그에 따른 고속의 백본 네트워크가 필요하게 되었다. 이러한 요구를 수용하기 위한 차세대 인터넷으로 고려되고 있는 MPLS(MultiProtocol Label Switching)와 사용자 서비스를 위해 네트워크 자원을 효율적으로 사용하기 위한 멀티캐스트 기술이 요구된다. 그러나 기존의 IP Multicast 기술은 품질 보장 서비스를 지원하는데 한계가 있기 때문에, 고품질 멀티 캐스트 서비스를 위하여 QoS및 Traffic Engineering을 보장하는 MPLS 기술을 확장하는 노력이 이루어지고 있다. 그리고 MPLS 환경에서 멀티캐스트 서비스 제공은 MPLS 레이블 수의 부족과 멀티캐스트 고유의 속성인 확장성 문제가 발생하게된다. 이를 위한 개선책으로 LDP에 멀티캐스트 필드를 추가하여 중간노드에서 동일한 LSP 멀티캐스트 패킷에 동일한 레이블을 할당하는 Label Aggregation 알고리즘을 제안하였다. The growth of the Internet over the last several years has placed a tremendous strain on the high bandwidth Hence, the amount of internet traffic has risen sharply and it has demanded to use the limited resource. MPLS (Multiprotocol Label Switching) is regarded as a core technology for migrating to the next generation Internet. It is important to reduce the number of labels and LSP(Label Switched Path)s for network resource management. In this thesis, we considered an MPLS multicast mechanism in the current Internet. The scalability problem due to lack of labels and multicast property is one of the serious problems in MPLS multicast mechanism, we proposed a Label Aggregation algorithm that the multicast packets on same link in MPLS allocates the same label for the scalability problem. In order to support the proposed algorithm we defined a new LDP(Label Distribution Protocol) multicast field and multicast packet is copied and transmitted for multicast group links of next node in LSR(label Switch Router).
박용민 한국통신학회 2008 정보와 통신 Vol.25 No.10
본 고에서는 뉴 IT 전략의 중심에 있는 RFID/USN 기술의 시장 현황과 우리나라 RFID/USN 산업의 문제점, 그리고 이러한 문제점을 해결하고 새로운 성장동력으로서 RFID/USN 산업을 육성ㆍ발전시키기 위해 지난 7월 발표된 『RFID/USN 산업발전 비전과 전략』의 주요 내용을 살펴본다. 또한 선도적 시장수요 창출, 세계적 기술경쟁력 확보, 산업발전 기반 고도화 등의 주요 전략 및 방법을 통하여 새로운 RFID/USN 비전 및 목표를 제시하고자 한다.
생태관광지 선택속성이 지각된 가치에 미치는 영향: DMZ를 중심으로
박용민,이정원 (사)한국관광레저학회 2022 관광레저연구 Vol.34 No.12
This study is to investigate the effects of Ecotourism Destination Selection Attributes on perceived value. Ecotourism Destination Selection Attributes and Perceived Value. Collected data were analyzed using the package programs of SPSS. A survey was conducted focus on the DMZ area, and 144 questionnaires were used for the study. Descriptive Statistics Analysis, a Reliability Analysis, a factor analysis, a Regression Analysis were performed. As a result is presented as follows: First, the factor that has the greatest influence on the effect on natural value in the ecotourism destination selection attribute is the natural factor. Second, it was found that educational factors had the greatest influence on the impact of the ecotourism destination selection attribute on the security value. Third, rest factors, adventure factors, and educational factors were found to have an effect on economic value of the selection attribute of ecotourism destinations. Fourth, it was found that natural and rest factors had an effect on the influence of the ecotourism destination selection attribute on cultural value.