http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이동현,이승환,이성갑,이규탁,이영희,Lee, Dong-Hyun,Lee, Seung-Hwan,Lee, Sung-Gap,Lee, Ku-Tak,Lee, Young-Hie 한국전기전자재료학회 2011 전기전자재료학회논문지 Vol.24 No.7
We studied sintering temperature to enhance the piezoelectric properties of $0.98(Na_{0.5}K_{0.5})NbO_3-0.02Li(Sb_{0.17}Ta_{0.83})O_3$+0.01wt%ZnO (hereafter NKN-LST+ZnO) lead free piezoelectric ceramics. The synthesis and sintering method were the conventional solid state reaction method and sintering was executed at $1,080\sim1,120^{\circ}C$. We found that NKN-LST+ZnO ceramics at optimal sintering temperature showed the improved piezoelectric properties at the optimal sintering temperature. The NKN-LST+ZnO ceramics show good performance with piezoelectric constant $d_{33}$= 153 pC/N sintered at $1,090^{\circ}C$. The results reveal that NKN-LST+ZnO ceramics are promising candidate materials for lead-free piezoelectric application.
이종입자 강화 SiC/Al7075 금속복합재료의 압축특성 및 마모특성 연구
이동현,조승찬,김양도,이상관,이상복,조일국,Lee, Donghyun,Cho, Seungchan,Kim, Yangdo,Lee, Sang-Kwan,Lee, Sang-Bok,Jo, Ilguk 한국복합재료학회 2017 Composites research Vol.30 No.5
본 연구에서는 액상가압공정을 통해 고체적율의 SiC 입자가 균일 분산된 알루미늄 금속복합재료를 제조하고, 미세조직, 기계적 특성 및 내마모 특성에 대해 분석하였다. 입자크기가 다른 이종 SiC 입자가 약 60 vol.% 이상의 체적율로 균일하게 분산된 SiC/Al7075 복합재료는 단일 SiC 입자로 강화된 복합재료에 비해 체적율이 약 12% 이상 높았으며 압축강도가 200 MPa 이상 증가하였다. 내마모시험 결과 이종 SiC 입자 금속복합재료의 경우 마모너비와 깊이가 각각 $285.1{\mu}m$, $0.45{\mu}m$이며, 마찰계수는 0.16으로 내마모 특성이 가장 우수하였다. In this study, we have investigated microstructure, mechanical properties and wear characteristic of aluminum metal matrix composites with a high volume fraction and uniformly dispersed SiC particles which produced by a liquid pressing process. The volume fraction of bimodal SiC/Al7075 composite was 12% higher than that of the monomodal SiC/Al7075 composite and a compressive strength is increased about 200 MPa. As a result of the abrasion test, the wear width and depth of the bimodal SiC/Al7075 composite were $285.1{\mu}m$ and $0.45{\mu}m$, respectively. The coefficient of friction of bimodal SiC/Al7075 was 0.16.
하악 전돌증 환자에서 전산화 단층 촬영을 이용한 하악관의 해부학적 위치에 관한 연구
이동현,김재원,이수연,김재현,안상헌,이상한,장현중,Lee, Dong-Hyun,Kim, Jae-Won,Lee, Su-Youn,Kim, Jae-Hyun,An, Sang-Heon,Lee, Sang-Han,Jang, Hyun-Jung 대한악안면성형재건외과학회 2009 Maxillofacial Plastic Reconstructive Surgery Vol.31 No.6
Purpose: In this study, we analyzed and compared the anatomical position of the mandibular canal in normal occlusion and mandibular prognathism patients. Patients and Methods: Computed tomography image from 58 patients were divided into normal occlusion group and mandibular prognathism group, and each measurement were taken in the each measuring points(2nd premolar, 1st molar, 2nd molar, 3rd molar, ramus). Measurements were statistically analyzed by student's t-test. Results: BC (Thickness of the buccal cortex) value was 2.3~2.7 mm, CB (Distance from the canal to the lingual aspect of the buccal cortex) value was 1.3~4.3 mm, MC (Diameter of the canal) value was 3.2~3.8 mm, LI (Distance from the canal to the lingual aspect of the lingual cortex) value was 2.0~3.7 mm, TM (Thickness of the total mandible) value was 9.5~12.9 mm and CM (Distance from the canal to the inferior border of the mandible) value was 6.9~17.5 mm. Conclusion: In the comparison between two groups, there was statistically significant difference in CB value of 2nd, 3rd molar between normal occlusion and mandibular prognathism, and other value in the rest of the measuring points didn't show statistically significant difference.
이동현,김지은,송채빈,이현주,송원영,이태준,이상훈,태기식,Lee, D.H.,Kim, J.E.,Song, C.B.,Lee, H.J.,Song, W.Y.,Lee, T.J.,Lee, S.H.,Tae, Ki-Sik 대한의용생체공학회 2016 의공학회지 Vol.37 No.3
Sexual addiction is accompanied with anxiety, psychological and physical dependence. Also, sexual addict want to make their presence through sexual adventures and seem sexually obsessed. In this study, we examined the changes of brain activity related to sexual addiction by utilizing the developed multi-sensory therapy after 4-weeks sex offender treatment program. We analyzed the electroencephalogram (EEG) activity changes in the subjects and regions of brain. As a result, the theta wave significantly increased after treatment than before (p < 0.001). The absolute alpha wave was increased whereas the relative alpha waves were decrease significantly (p < 0.001). The results could conclude that multi-sensory therapy on sex offender shows more stable status against sexual stimulations. Moreover, the reduction of the relative alpha waves in parietal lobe of sex offender is correlated to the less attention on sexual stimulations. The multi-sensory therapy not only provides a neurobiological explanation, but also can be used for clinical implications, i.e. prevention and treatments, for sex addiction.
이동현,형건우,표상우,김영관,Lee, Dong-Hyun,Hyung, Gun-Woo,Pyo, Sang-Woo,Kim, Young-Kwan 한국전기전자재료학회 2006 전기전자재료학회논문지 Vol.19 No.4
The electrical performances of organic thin-film transistors (OTFTs) have been improved for the last decade. In this paper, it was demonstrated that the electrical characteristics of the organic thin film transistors (OTFTs) were improved by using polymeric material as adhesion layer on gate insulator. We have investigated OTFTs with polyimide adhesion layer which was fabricated by vapor deposition polymerization (VDP) processing and formed by co-deposition of 2,2-bis (3,4-dicarboxyphenyl) hexafluoropropane dianhydride and 4,4'-oxydianiline. It was found that the OTFTs with adhesion layer showed better electrical characteristics than with bare layer because of good matching between semiconductor and gate insulator. Our devices of performance are field effect mobility of $0.4cm^2/Vs$, threshold voltage of -0.8 V and on-off current ratio of $10^6$. In addition, to improve the electrical characteristics of OTFT, we have reduced the thickness of adhesion layer up to a few nanometrs.
이동현,박정욱,서영석,Lee, Dong-Hyun,Park, Jung-Wook,Seo, Yeong-Seok 한국정보처리학회 2018 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.7 No.6
4차 산업혁명 시대가 도래하면서 기존 IoT에 감성지능이 포함된 신기술들이 연구되고 있다. 그 중 현재까지 다양하게 진행된 음악 서비스 제공을 위한 감성 분석 연구에서는 인공지능, 패턴인식 등을 활용한 사용자의 감성 인식 및 분류 등에만 초점을 맞추고 있는 상황이나, 사용자의 특정 감성에 해당하는 음악들을 어떻게 자동적으로 분류할지에 대한 감성별 음악 분류기법들에 대한 연구는 매우 부족한 상황이다. 본 연구에서는 최근 각광을 받고 있는 사람들의 감성과 관련된 음악관련 서비스를 개발할 시, 음악을 감성 범위에 따라 높은 정확도로 분류할 수 있도록 하는 감성 기반 자동 음악 분류기법을 제안한다. 데이터수집 시 Russell 모델을 바탕으로 설문조사를 하였으며, 음악의 특성으로 평균파장크기(Average amplitude), peak평균(Peak-average), 파장 수(The number of wavelength), 평균파장 길이(Average wavelength), BPM(Beats per minute)을 추출하였다. 해당 데이터들을 바탕으로 회귀 분석을 이용하여 다중회귀식을 도출하였으며, 각 감성에 대한 표준 수치들을 도출하여 새로운 음악 데이터와 해당 각 감성에 대한 표준 수치들과의 거리 비교를 통해 음악의 감성을 분류시키는 작업을 실시하였다. 이를 통해 나온 결과에 회귀분석을 통하여 나온 데이터를 대입하여 해당 데이터와 각 감성들의 비율을 통해 최종적으로 판단된 감성을 추출하였다. 본 연구에서 실험한 감성 일치율의 2가지 방식에 대해서 제안한 기법의 경우 70.94%, 86.21%의 일치율이 나왔고, 설문참가자들의 경우 66.83%, 76.85%의 일치율이 나옴으로써, 연구 기법을 통한 감성의 판단이 설문참가자들의 평균적인 판단보다 4.11%, 9.36%의 향상된 수치를 제공함을 알 수 있었다. Many new technologies are studied with the arrival of the 4th industrial revolution. In particular, emotional intelligence is one of the popular issues. Researchers are focused on emotional analysis studies for music services, based on artificial intelligence and pattern recognition. However, they do not consider how we recommend proper music according to the specific emotion of the user. This is the practical issue for music-related IoT applications. Thus, in this paper, we propose an probability-based music emotion classification technique that makes it possible to classify music with high precision based on the range of emotion, when developing music related services. For user emotion recognition, one of the popular emotional model, Russell model, is referenced. For the features of music, the average amplitude, peak-average, the number of wavelength, average wavelength, and beats per minute were extracted. Multiple regressions were derived using regression analysis based on the collected data, and probability-based emotion classification was carried out. In our 2 different experiments, the emotion matching rate shows 70.94% and 86.21% by the proposed technique, and 66.83% and 76.85% by the survey participants. From the experiment, the proposed technique generates improved results for music classification.