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Lim, J.H.,Shim, J.H.,Choi, J.H.,Park, J.H.,Kim, W.,Joo, J.,Kim, C.J. North-Holland 2009 Physica. C, Superconductivity Vol.469 No.15
We fabricated nano-carbon (NC) doped MgB<SUB>2</SUB> bulks using an in situ process in order to improve the critical current density (J<SUB>c</SUB>) under a high magnetic field and evaluated the correlated effects of the doped carbon content and sintering temperature on the phase formation, microstructure and critical properties. MgB<SUB>2-x</SUB>C<SUB>x</SUB> bulks with x=0 and 0.05 were fabricated by pressing the powder into pellets and sintering at 800<SUP>o</SUP>C, 900<SUP>o</SUP>C, or 1000<SUP>o</SUP>C for 30min. We observed that NC was an effective dopant for MgB<SUB>2</SUB> and that part of it was incorporated into the MgB<SUB>2</SUB> while the other part remained (undoped), which reduced the grain size. The actual C content was estimated to be 68-90% of the nominal content. The NC doped samples exhibited lower T<SUB>c</SUB> values and better J<SUB>c</SUB>(B) behavior than the undoped samples. The doped sample sintered at 900<SUP>o</SUP>C showed the highest J<SUB>c</SUB> value due to its high doping level, small amount of second phase, and fine grains. On the other hand, the J<SUB>c</SUB> was decreased at a sintering temperature of 1000<SUP>o</SUP>C as a result of the formation of MgB<SUB>4</SUB> phase.
HMM을 이용한 연속 음성인식 시스템의 화자적응화에 관한 연구
심장엽,김상범,김주성,김수훈,이영재,이종진,허강인 동아대학교 공과대학 부설 한국자원개발연구소 1995 硏究報告 Vol.19 No.2
It is hard to collect sufficient speech data for training a speaker-dependent (SD) model from the same speaker. In contrast, to trains a speaker-independent (SI) model need not collect a large amount of speech data per speaker but from many speakers. Speaker-adaptation (SA) is an additional training technique from SI model by a small amount of adaptation speech. It has proved to be a powerful tool for achieving good recognition performance without the high cost of SD training. In this study, a speaker adaptation algorithm (MAPE) which trains it by every utterance sequentially without hand-labelling is introduces. The hand-labelling is performed automatically by Concatenation training and Viterbi-segmentation. The secuential-training is performed by MAPE(Maximum A Posteriori probability Estimation). We can train it using any small amount of adaptation speech data. For newspaper editorial continuous speech, the recognition rates of adaptation of HMM was 62.5% respectively which is approximately 32.5% improvement over that of unadapated HMM.
Kim, J.,Lee, J.,Chae, S.,Shim, J.Y.,Lee, D.Y.,Kim, I.,Kim, H.J.,Park, S.H.,Suh, H. IPC Science and Technology Press 2016 Polymer Vol.83 No.-
Polymers using 6-(2-thienyl)-4H-thieno[3,2-b]indole (TTI) with high planarity were synthesized and utilized for the photovoltaics. Push-pull types of conjugated polymers (PTTICN, PTTICNR and PTTIFR) containing TTI as electron pushing unit and 2-pyriminecarbonitrile or 2-fluoropyrimidine as electron pulling unit were synthesized. We designed pyrimidine derivatives with strong electron-withdrawing group (C?N or fluorine) for the generation of strong electron pulling property. By the combination with the electron pushing unit, the pyrimidines with strong electron pulling units will provide low highest occupied molecular orbital (HOMO) energy levels for higher open-circuit voltages (V<SUB>OC</SUB>). For the syntheses of the polymers, the electron pushing and the electron pulling units were combined by Stille coupling reaction with Pd(0)-catalyst. The polymers of PTTICN and PTTICNR with CN unit show higher V<SUB>OC</SUB> than the polymer with fluorine unit. The device comprising PTTICNR and PCBM (1:4) with diiodooctane (DIO) additive showed a V<SUB>OC</SUB> of 0.82 V, a J<SUB>SC</SUB> of 6.38 mA/cm<SUP>2</SUP>, and a fill factor (FF) of 0.53, giving a power conversion efficiency of 2.81%.