http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
일방향 응고법을 이용한 Mar M-247LC 초내열합금의 액상 물성 측정
김현철,이재현,서성문,김두현,조창용,Kim, Hyeon-Cheol,Lee, Jae-Hyeon,Seo, Seong-Mun,Kim, Du-Hyeon,Jo, Chang-Yong 한국재료학회 2001 한국재료학회지 Vol.11 No.9
Directional solidification experiments have been carried out at the solidification rates from 0.5 to 50$\mu\textrm{m}$/s in Mar M-247LC superalloy in which several important liquid properties were estimated by analyzing the interface stability and temperature gradient at the solid/liquid interface. The diffusion coefficient in the liquid was estimated by employing the constitutional supercooling criterion. The temperature gradients changed with solidification rates and latent heat of solidification. The thermal conductivities of solid and liquid could be estimated by heat flux balance at the solid liquid interface.
김현철,Kim, Hyeon-Cheol 대한디지털의료영상학회 2002 대한디지털의료영상학회논문지 Vol.5 No.1
One of current trends of medical technology is analog to digital. Moreover, The Government put a premium on PACS(Picture Archiving and Communication System) for Medical Insurance in November, 1999. Therefore many hospitals are installing(or planning to install) PACS facilities on their buildings. However most of hospitals didn't consider PACS facilities in the beginning of construction. In particular, the Networking is one of the most difficult things for PACS installation. There is no space for network equipments, and no path for network lines, etc. To solve these problems, wireless network is proposed. The wireless network is divided to three parts mainly. One is the wireless communication for Local Area Network, another is the data transmission through a satellite for Tele-Radiology, and the last one is the technology using Bluetooth for each sub-system of PACS. But there are other problems in wireless systems, i.e., network bandwidth, system stability, interference with other devices. The purpose of this paper is to suggest the future and new trend of PACS including all the problems.
플라즈마 화학증착법으로 제조된 B-doped a-SiC:H 박막의 물성
김현철,신혁재,이재신,Kim, Hyeon-Cheol,Sin, Hyeok-Jae,Lee, Jae-Shin 한국재료학회 1999 한국재료학회지 Vol.9 No.10
$SiH_4$, $CH_4$, $B_2H_6$ 혼합기체를 이용하여 플라즈마 화학증착법으로 탄화실리콘 (a-SiC:H) 박막을 증착하였다. 증착중에 혼합기체중의$CH_4$농도 ($CH_4/CH_4+SiH_4$)를 변화시켜 얻은 박막의 물성을 SEM, XRD, Raman 분광법, FTIR, XPS, 광흡수도와 광전도도 분석을 통하여 살펴보았다. $SiH_4$기체만 이용하여 증착한 Si:H 박막은 비정질상태를 나타내었으나, $CH_4$가 첨가됨에 따라 실리콘 박막의 Si-$\textrm{H}_{n}$(n은 정수) 결합기가 Si-$\textrm{C}_{n}\textrm{H}_{m}$ (n,m은 정수) 형태의 결합기로 변화되었으며, 박막내 수소함량은 $CH_4$농도가 0~0.8의 범위에서 증가함에 따라 30~45% 범위에서 증가하였다. 반응기체중의 $CH_4$농도의 증가에 따라 박막 내의 탄소 농도가 증가함을 확인하였으며, 이에 따라 막의 전기비저항과 광학적밴드갭 역시 증가하였다. B-doped hydrogenated amorphous silicon carbide (a-SiC:H) thin films were prepared by plasma-enhanced chemical-vapor deposition in a gas mixture of $SiH_4$, $CH_4$ and $B_2H_6$. Microstructures and chemical properties of a-SiC:H films grown with varing the volume ratio of $CH_4$ to $SiH_4$ were characterized with various analysis methods including scanning electron microscopy(SEM), X-ray diffractometry(XRD), Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy. X-ray photoelectron spectroscopy(XPS), UV absorption spectroscopy and photoconductivity measurements. While Si:H films grown without $CH_4$ showed amorphous state, the addition of $CH_4$ during deposition enhanced the development of a microcrystalline phase. By introducing C atoms into the film, Si-Si and Si--$\textrm{H}_{n}$ bonds of a -Si:H films were gradually replaced by Si-C, C-C, and Si--$\textrm{C}_{n}\textrm{H}_{m}$ bonds. Consequently, the electrical resistivity and optical bandgap of a-SiC:H films were increased with the C concentration in the film.
김현철,Kim, Hyeon-Cheol 한국정보과학회 2002 정보과학회논문지 : 소프트웨어 및 응용 Vol.29 No.5
다층신경회로망 구조의 재구성은 회로망의 일반화 능력이나 효율성의 관점에서 중요한 문제로 연구되어왔다. 본 논문에서는 신경회로망에 학습된 은닉 지식들을 추출하여 조합함으로써 신경회로망의 구조를 재구성하는 새로운 방법을 제안한다. 먼저, 각 노드별로 학습된 대표적인 지역 규칙을 추출하여 각 노드의 불필요한 연결구조들을 제거한 후, 이들의 논리적인 조합을 통하여 중복 또는 상충되는 노드와 연결구조를 제거한다. 이렇게 학습된 지식을 분석하여 노드와 연결구조를 재구성한 신경회로망은 처음의 신경회로망에 비하여 월등히 감소된 구조 복잡도를 가지며 일반적으로 더 우수한 일반화 능력을 가지게 됨을 실험결과로서 제시하였다. It is known that restructuring feed-forward neural network affects generalization capability and efficiency of the network. In this paper, we introduce a new approach to restructure a neural network using abstraction of the hidden knowledge that the network has teamed. This method involves extracting local rules from non-input nodes and aggregation of the rules into global rule base. The extracted local rules are used for pruning unnecessary connections of local nodes and the aggregation eliminates any possible redundancies arid inconsistencies among local rule-based structures. Final network is generated by the global rule-based structure. Complexity of the final network is much reduced, compared to a fully-connected neural network and generalization capability is improved. Empirical results are also shown.