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임정우,유재수 경희대학교 공학연구소 2009 레이저공학 Vol.20 No.-
We designed the InGaP single-junction solar cell by optimizing thicknesses of p' -type emitter and n-type base layers using a Silvaco ATLAS. The thicknesses of emitter and base layers were optimized at 50 nm and 1 mm, respectively , leading to the increased conversion efficiency. For the optimized solar cell structure, the Voc= 1.34 V, Jsc= 13.52 ㎃/㎠ and fill factor= 79.1 % were obtained under AM1.5g illumination, exhibiting a conversion efficiency of 14.28%
임정우,김황민,이경일,김상용,김종현,김현희,최영윤,마상혁,김동호,안동호,강진한 대한의학회 2013 Journal of Korean medical science Vol.28 No.4
This phase II clinical trial was conducted to compare the immunogenicity and safety of a newly developed tetanus-reduced diphtheria (Td) vaccine (GC1107-T5.0 and GC1107-T7.5)and control vaccine. This study was also performed to select the proper dose of tetanus toxoid in the new Td vaccines. Healthy adolescents aged between 11 and 12 yr participated in this study. A total of 130 subjects (44 GC1107-T5.0, 42 GC1107-T7.5 and 44 control vaccine) completed a single dose of vaccination. Blood samples were collected from the subjects before and 4 weeks after the vaccination. In this study, all subjects (100%) in both GC1107-T5.0 and GC1107-T7.5 groups showed seroprotective antibody levels ( ≥ 0.1 U/mL)against diphtheria or tetanus toxoids. After the vaccination, the geometric mean titer (GMT) against diphtheria was significantly higher in Group GC1107-T5.0 (6.53) and GC1107-T7.5 (6.11) than in the control group (3.96). The GMT against tetanus was 18.6 in Group GC1107-T5.0, 19.94 in GC1107-T7.5 and 19.01 in the control group after the vaccination. In this study, the rates of local adverse reactions were 67.3% and 59.1% in GC1107-T5.0 and GC1107-7.5, respectively. No significant differences in the number of adverse reactions, prevalence and degree of severity of the solicited and unsolicited adverse reactions were observed among the three groups. Thus, both newly developed Td vaccines appear to be safe and show good immunogenicity. GC1107-T5.0, which contains relatively small amounts of tetanus toxoid, has been selected for a phase III clinical trial.
임정우,정관수,유재수 한국물리학회 2012 Current Applied Physics Vol.12 No.1
We have theoretically and experimentally investigated the antireflective properties of the disordered subwavelength structures (SWSs) with a hydrophobic surface on silicon (Si) substrates by an inductively coupled plasma (ICP) etching in SiCl4/Ar plasma using thermally dewetted platinum (Pt) nanopatterns as etch masks for Si-based solar cells. The Pt thin films on the SiO2/Si surface were properly changed into the optimized dot-like nanopatterns via the thermal dewetting by rapid thermal annealing process. The antireflection properties were definitely affected by the etched profile of SWSs which can be controlled by the conditions of etching process. For the tapered Si SWS with a high average height of 724 ± 78 nm,the reflectance was significantly reduced below 5% over a wide wavelength range of 350e1030 nm,leading to a relatively low solar weighted reflectance of 2.6%. The structure exhibited reflectances less than 14.8% at wide incident angles of 8e70˚. The hydrophobic surface with a water contact angle of 113.2˚ was obtained. For Si SWSs, the antireflective properties were also analyzed by the rigorous coupled-wave analysis simulation. These calculated results showed similar behavior to the experimental results.
임정우,문현석,이찬희,우찬균,임희석,Lim, Jungwoo,Moon, Hyeonseok,Lee, Chanhee,Woo, Chankyun,Lim, Heuiseok 한국융합학회 2021 한국융합학회논문지 Vol.12 No.4
본 산업/직업 자동코딩 시스템은 조사 대상자들이 응답한 방대한 양의 산업/직업을 설명하는 자연어 데이터에 통계 분류 코드를 자동으로 부여하는 시스템이다. 본 연구는 기존의 정보검색 기반의 산업/직업 자동코딩시스템과 다르게 딥러닝을 이용하여 색인 DB가 필요하지 않고 분류 수준에 상관없이 코드를 부여할 수 있는 시스템을 제안한다. 또한, 자연어 처리에 특화된 딥러닝 기법인 KoBERT를 적용한 제안 모델은 인구주택총조사 산업/직업 코드 분류, 그리고 사업체기초조사 산업 코드 분류에서 각각 95.65%, 91.45%, 97.66%의 Top 10 정확도를 보인다. 제안한 모델 실험 후 향후 개선 가능성을 데이터/모델링 관점으로 분석한다. An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.