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Nano-sized TiCxNy를 함유한 STS 복합체의 특성
반태호,박성범,조수정,이동원,박용일,김성진,Ban, Tae-Ho,Park, Sung-Bum,Jo, Soo-Jeong,Lee, Dong-Won,Turaev, Farkhod R.,Park, Yong-Il,Kim, Sung-Jin 한국분말야금학회 2011 한국분말재료학회지 (KPMI) Vol.18 No.3
Titanium carbonitride is more perspective materials compared to titanium carbide. It can be used in tool industry and special products because of its higher strength, abrasive wear-resistance and especially its strong chemical stability at high temperatures. We produced STS+TiCxNy composite by the spark plasma sintering for higher strength and studied the characteristics. The planar and cross-sectional microstructures of the specimens were observed by scanning electron microscopy. Characterizations of the carbon and nitride phases on the surface of composite were carried out using an X-ray diffractometer. During annealing TiCxNy particles diffusion into STS 430 was observed. After annealing, sintering isolations between particles were formed. It causes decreasing of mechanical strength. In addition when annealing temperature was increased hardness increased. Heterogeneous distribution of alloying elements particles was observed. After annealing composites, highest value of hardness was 738.1 MHV.
이지윤 ( Jee-yun Lee ),조수정 ( Soo-jung Jo ),정은진 ( Eun-jin Jung ),이광식 ( Kwang-sig Lee ),김승우 ( Seung-woo Kim ),김호연 ( Ho Yeon Kim ),조금준 ( Geum Joon Cho ),홍순철 ( Soon-cheol Hong ),오민정 ( Min-jeong Oh ),김해중 ( Ha 한국모자보건학회 2018 한국모자보건학회 학술대회 연제집 Vol.2018 No.2
Purpose: The objective of the present study was to predict the gestational age at preterm birth using artificial neural networks for singleton pregnancy. Methods: Artificial neural networks (ANNs) were used as a tool for the prediction of gestational age at birth. ANNs trained using obstetrical data of 125 cases, including 56 preterm and 69 non-preterm deliveries. Using a 36-variable obstetrical input set, gestational weeks at delivery were predicted by 89 cases of training sets, 18 cases of validating sets, and 18 cases of testing sets (total: 125 cases). After training, we validated the model by another 12 cases containing data of preterm deliveries. Results: To define the accuracy of the developed model, we confirmed the correlation coefficient (R) and mean square error of the model. For validating sets, the correlation coefficient was 0.839, but R of testing sets was 0.892, and R of total 125 cases was 0.959. The neural networks were well trained, and the model predictions were relatively good. Furthermore, the model was validated with another dataset of 12 cases, and the correlation coefficient was 0.709. The error days were 11.58±13.73. Conclusion: In the present study, we trained the ANNs and developed the predictive model for gestational age at delivery. Although the prediction for gestational age at birth in singleton preterm birth was feasible, further studies with larger data, including detailed risk variables of preterm birth and other obstetrical outcomes, are needed.
Effect of Soil Physical Characteristics on Rhizome Rot Incidence of Platycodon grangiflorus
이영한,최용조,박상렬,김민근,조수정,윤한대,Lee, Young-Han,Choi, Yong-Jo,Park, Sang-Ryeol,Kim, Min-Keun,Cho, Soo-Jeong,Yun, Han-Dae 한국토양비료학회 2000 한국토양비료학회지 Vol.33 No.1
This study was conducted to determine the effect of soil physical characteristics on rhizome rot incidence of platycodon. Sampling sites were Keochang 4, Kimhae 7, Haman 6, Chinju 6 and Koseong 3 fields in Kyongnam province and Hongcheon 6 fields in Kangwon province. The root disease incidence rate was correlated with soil depth Y=-0.747X+88.19($R^2=0.394^{***}$), soil hardness Y=4.36X+8.93($R^2=0.201^*$), bulk density Y=104.7X-80.99($R^2=0.295^{**}$), clay content Y=1.24X+14.14($R^2=0.196^*$), porosity Y=-3.11X+215.9($R^2=0.220^*$) and silt content Y=-0.75X+67.85($R^2=0.178^*$). The yield was correlated with soil depth Y=0.263X+0.971($R^2=0.105^*$), clay content Y=-0.688X+32.74($R^2=0.158^*$), porosity Y=1.974X-93.19($R^2=0.231^{**}$) and silt content Y=53.05X-108.65($R^2=0.232^*$), The optimum cultivated land of perennial platycodon was soil depth over 1m, soil hardness under $5kg\;cm^{-2}$, bulk density $1.0Mg\;m^{-3}$, moisture content 13~17%. clay content 5~10%, porosity 58~63%, silt content 38~64% and soil texture of silt loam. 도라지 재배지 32개 농가의 토양 물리적 성질을 조사하고 근경부패병 발병 및 수량에 미치는 영향을 조사한 결과는 다음과 같다. 발병율과 유효토심은 Y = -0.747X + 88.19($R^2=0.394^{***}$), 토양경도는 Y = 4.36X + 8.93($R^2=0.201^*$), 용적밀도는 Y = 104.7X - 80.99($R^2=0.295^{**}$), 점토함량과는 Y = 1.24X + 14.14($R^2=0.196^*$), 토양공극과 Y= -3.l1X + 215.9($R^2=0.220^*$), 미사함량과는 Y = -0.75X + 67.85($R^2=0.178^*$)의 상관을 나타냈다. 수량은 토심과 Y = 0.263X + 0.971($R^2=0.105^*$), 경도는 Y = -1.712X + 30.60($R^2=0.109^*$), 자갈함량은 Y= -0.9172X + 45.74($R^2=0.113^*$), 점토함량은 Y = -0.688X+32.74($R^2=0.158^*$), 공극률은 Y = 1.974X -93.19($R^2=0.231^*$), 미사함량 Y = 53.05X - 108.65($R^2=0.232^{**}$)의 상관이 있었다. 위의 결과 다년생 도라지 재배적지는 유효토심 1m 이상, 토양경도는 $5kg\;cm^{-2}$ 이하, 용적밀도는 $1.0Mg\;m^{-3}$ 정도, 공극율은 58~63%, 수분함량은 13~17%, 점토함량은 5~10%, 미사함량은 38~64%가 좋은 것으로 나타났으며 토성은 미사질양토가 가장 좋은 것으로 분석되었다.
토양 화학성과 미생물상이 도라지 근경부패병에 미치는 영향
김종균,박상렬,윤한대,조수정,이영한,최용조 한국환경농학회 2000 한국환경농학회지 Vol.19 No.1
도라지 재배지의 토양 화학성과 미생물상을 진주 6, 김해 7, 고성 3, 함안 6, 거창 4개소, 강원도 홍천 6개소 등 32개소를 대상으로 97년부터 98년까지 조사한 결과는 다음과 같다. 발병율은 함안, 홍천지역이 각각 56.8, 52.5%로 높게 나타났고 고성, 진주지역이 30.0, 32.2%로 낮게 나타났다. 정상근과 장해근 표토의 K, EC 및 NH₄-N 함량은 장해토양이 정상토양 보다 높고 Mn함량은 낮게 나타나 유의성이 인정되었다. 뿌리의 CaO함량과 수량과는 Y=20505X-367.9(R²=0.129)의 정의상관이 있었고 정상근은 장해근에 비해 Fe, Zn 함량이 높은 반면 T-N, P₂O_5, K₂O 함량은 낮은 경향을 나타내어 과다양분 흡수에 의한 도라지 근의 병발생 조건이 증가된 것으로 판단되었다. 정상재배지의 토양 세균, 방선균 및 세균/사상군 수치는 장해지보다 높은 반면 사상균의 밀도는 낮았다. This study was conducted to determine the soil chemical properties and microbial flora of platycodon and their effect on rhizome rot incidence. Sampling sites were Keochang 4, Kimhae 7, Haman 6, Chinju 6 and Koseong 3 fields in Kyongnam province and Hongcheong 6 fields in Kangwon province. The root disease incidence rate was in the order of Haman 56.8%, Hongcheon 52.5%, Kimhae 36.7%, Koechang 35.3%, Chinju 32.3%, Koseong 30.0%. The yield at the Chinju 36.17 Mg/㏊ was higher than that of Koseong 25.00 Mg/㏊, Kimhae 13.57 Mg/㏊, Koechang 11.75 Mg/㏊, Haman 9.50 Mg/㏊, Hongcheon 5.24 Mg/㏊. The soil K, NH₄-N content and EC value of injury root were higher than those of normal root. The root CaO content was positively correlated with yield Y=20505X-367.9(R²=0.129). The Fe and Zn content of normal root were higher than those of injury root, while the T-N, P₂O_5 and K₂O content of normal root were lower than those of injury root. The population of bacteria, actinomycetes and bacteria/fungi ratio increased in soil of normal root, but that of fungi decreased.