http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
조류성장에 따른 하수 박테리아 군집 변화에 관한 분자생태학적 연구
이주연(Ju Youn Lee),이장호(Jang Ho Lee),박준홍(Joon Hong Park) 大韓環境工學會 2011 대한환경공학회지 Vol.33 No.11
주요 신재생에너지인 바이오에너지의 일환으로 조류를 이용한 바이오에너지 및 자원화 기술에 대한 관심이 높아지고 있다. 조류는 영양염류 제거 능력을 활용해서 하수와 같은 오폐수 내 난분해성오염물질과 영양염류 제거의 고도처리도 가능하다. 조류와 박테리아 간의 생태적인 상호작용이 조류를 활용한 하수처리 및 하수자원화에 중요한 역할을 함에도 불구하고, 실지 하수 조건에서 조류와 박테리아간의 생태학적인 상호작용에 관한 과학적인 정보가 부족하다. 본 연구에서는 하수에서 배양이 잘 되고, 지질함량이 높다고 알려진 국내 조류 종인 Ankistrodesmus gracilis SAG 278-2의 하수오염물질 제거 특성과 조류주입에 따른 하수 박테리아 군집의 반응을 실지 하수 조건에서 연구하였다. 하수 박테리아의 수가 증가는 조류의 성장 속도를 감소시켰으나, 반면 조류의 성장은 박테리아의 생존 및 내성호흡 생분해 속도에는 영향을 주지 않았다. 조류가 주입된 하수에서 난분해성 유기물질 및 총질소의 제거 향상이 관찰되었다. 박테리아 16S rRNA 유전자 T-RFLP 분석에 따르면 조류의 주입은 시간에 따라 박테리아 군집에 영향을 주었다. 박테리아 16S rRNA 유전자 PCR 증폭, clone 및 염기서열 분석 결과, 하수내 조류의 성장은 박테리아 군집 구성을 변화시키며, 조류와 함께 공동 성장 가능한 박테리아는 Sediminibacterium, Sphingobacterium, Mucilaginibacter 속에 속하는 개체로 판명되었다. To deal with issues from global climate changes, renewable bioenergy has become important. Algae have been regarded as a good resource for biorefinery and bioenergy, and also have potential capability to remove nutrient and non-decompositional pollutants for wastewater advanced treatment. Although algal-bacterial ecological interaction would be a crucially important factor in using algae for wastewater advanced treatment and resource recovery from wastewater, very little is known about ecological interaction between algae and bacteria in a real wastewater environment. In this study, under a real municipal wastewater condition, we characterized wastewater pollutant treatability and bacterial communities in response to growth of Ankistrodesmus gracilis SAG278-2, which can grow in wastewater and has a high lipid contents. The growth of algal population using the wastewater was inhibited by increase in wastewater bacteria while bacterial survival and cellular decay rate were not influenced by the algal growth. Removals of recalcitrant organic matters and total nitrogen were improved in the presence of algal growth. According to T-RFLP and statistical analysis, algal growth affected time-course changes in bacterial community structures. The following 16S rRNA gene amplicon, cloning results showed that the algal growth changes in bacterial community structure, and that bacterial populations belonging to Sediminibacterium, Sphingobacterium, Mucilaginibacter genera were identified as cooperative with the algal growth in the wastewater.
뉴럴 네트워크를 이용한 밸브 부품 생산용 플런지 연삭의 거칠기 예측모델 개발
최정주(Choi, Jeong-Ju),박준홍(Park, Joon-Hong) 한국산학기술학회 2011 한국산학기술학회논문지 Vol.12 No.1
본 연삭공정은 제품의 품질 만족도를 충족시키기 위해 기계가공의 마지막단계에서 이루어지는 공정이다. 일 반적으로 연삭된 공작물의 가공 표면은 연삭 조건 및 드레싱 조건에 의해 그 정도가 결정된다. 이러게 연삭된 공작 물의 표면 거칠기를 예측하기 위해서 몇 가지 거칠기 모델들이 연구되었다. 기존의 모델들은 몇 가지 주요 파라미터 를 선정하고 이들 파라미터를 곱의 형태로 모델을 만들어 그 파라미터의 영향도를 고려하였다. 그러나 이러한 파라 미터간 곱의 형태는 복잡한 연삭 메커니즘을 나타내기에는 충분하지가 않다. 따라서 본 연구에서는 뉴럴네트워크 알 고리즘을 이용하여 플런지 연삭의 연삭 모델을 제안하였다. 제안된 구조는 초기 거칠기 모델과 최종 거칠기 모델로 구성되어 있다. 제안된 뉴럴네트워크의 입력 파라미터는 기존의 거칠기 모델들의 것을 이용하였다. 제안된 모델의 거 칠기 예측 성능은 실험을 통해 검증하였다. Grinding process is executed in the final machining stage to meet the quality requirements. In generally the ground surface of workpiece is affected by dressing condition as well as grinding condition. In order to estimate the roughness of workpiece, the several roughness models have been researched. These models defined the specific parameters and considered the several parameters which affect to roughness as multiply relationship among them. However, the multiply relationship among parameters is not enough to show the complicated grinding mechanism. Therefore, the neural network algorithm is used in this paper to predict the ground roughness for the plunge grinding. The proposed structure is composed of the initial roughness as well as final roughness model. The input parameters of proposed neural network are referred with the existing roughness model's. The performance of the proposed model is verified through experiments.
북강활 에틸아세테이트분획의 비만세포에서의 염증반응 억제효과
서운교 ( Un Kyo Seo ),이주일 ( Ju Il Lee ),박준홍 ( Jun Hong Park ),박용기 ( Yong Ki Park ) 대한본초학회 2008 大韓本草學會誌 Vol.23 No.4
Objectives: In this study, the pharmacological effects of the ethylacetate extract of Ostericum koreanum(North Kangwhal; NK) on allergic inflammation were investigated in activated human mast cells. Methods: North Kangwhal was extracted with 80% methanol for 24 h, and then fractionated with ethylacetate(NK-EtOAc extract). HMC-1 cells, an human mast line, were pre-incubated with different concentrations of NK-EtOAc extract for 30 min, and then stimulated with PMA(50 nM/ml) and A23187(1 μM/ml) at indicated times. The cell toxicity was determined by MTT assay. The concentrations of prostaglandin E2(PGE2) and cytokines(TNF-α, IL-8) were measured by enzyme-linked immunosorbant assay. Results: NK-EtOAc extract(10~50 ㎍/ml) significantly inhibited the productions of PGE2, TNF-α and IL-8 in PMA/A23187-stimulated HMC-1 cells without cell toxicity(0~50 ㎍/ml). NK-EtOAc extract also inhibited PMA/A23187-induced phosphorylation of ERK1/2 MAPK and the NF-κB p65 subunit translocation into the nuclear of HMC-1 cells. Conclusions: This study suggests that NK-EtOAc extract may have an anti-inflammatory property through suppressing the production of inflammatory mediators in activated mast cells and its molecular mechanism underlies the blocking of NF-κB pathway.
영하에서 작동하는 형상기억합금 코일 스프링의 하중 거동 특성에 관한 실험적 연구
조대환(Dae Hwan Cho),최주호(Ju Ho Choi),박준홍(Joon Hong Park) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
The Studies on parts using shape memory alloy for the production of small and lightweight products has been actively conducted until recently. Among them, the shape memory alloy coil spring, which can be used semi-permanently, has excellent efficiency and economy and is highly useful as an actuator because it automatically operates according to temperature. In this study, the load behavior characteristics of Ni-Ti-Co shape memory alloy coil springs according to temperature changes were investigated through experiments and the reliability of the measured spring vertical deflection was verified by conducting structural analysis. As a result, it was confirmed that the shape memory alloy coil spring could operate at sub-zero temperatures through this study and the load behavior was also controllable by setting specific parameters such as transformation initiation temperature and mechanical design.
C. thermocellum Cellulase D 형질전환 생쥐의 조섬유 소화율 분석
최정옥(Jung Ok Choi),이정웅(Jung woong Lee),이은주(Eun Ju Lee),김명옥(Myoung Ok Kim),김성현(Sung Hyun Kim),박준홍(Jun Hong Park),조경인(Kyung In cho),정부경(Boo Kyung Jung),김희철(Hi Chol Kim),황설하(Sol Ha Hwang),남명수(Myung Su Nam 한국실험동물학회 2003 Laboratory Animal Research Vol.19 No.1
연구보문 : 단보 ; 국내 벼 논에서 메탄 기본배출계수 개발
김건엽 ( Gun Yeob Kim ),정현철 ( Hyun Cheol Jeong ),주옥정 ( Ok Jung Ju ),김희권 ( Hee Kwon Kim ),박준홍 ( Jun Hong Park ),권효숙 ( Hyo Suk Gwon ),김필주 ( Pil Joo Kim ) 한국환경농학회 2013 한국환경농학회지 Vol.32 No.4
BACKGROUND: Methane (CH4) emission is calculated using the default CH4 emission factor as recommended by the International Panel on Climate Change (IPCC guidelines). However, the default emission factor has been derived using including the data from other countries having different soil and environmental conditions and may not reflect the real CH4 emission rates in Korea. The objective of this study was to estimate the baseline emission factor of CH4 in Korean paddy soils during rice cultivation. METHODS AND RESULTS: Methane emission patterns were characterized in four different paddy soils across country for a consecutive 3 years during the rice cultivation period. Rice plants were cultivated under continuous flooding and fertilized using the recommended chemical fertilization in Korea (N-P2O5-K2O=90-45-57kg/ha). The mean CH4 emission rate was 2.32 kg CH4/ha/day and the uncertainty of the investigated data was 21.7%, with a valuable error range at 1.82-2.82 kg CH4/ha/day with a 95% confidence interval. CONCLUSION(S): Conclusively, the Korean paddy soils` baseline emission factor of CH4 is approximately 2.32 kg CH4/ha/day and can be used to estimate the CH4 emissions more exactly. BACKGROUND: Methane (CH4) emission is calculated using the default CH4 emission factor as recommended by the International Panel on Climate Change(IPCC guidelines). However, the default emission factor has been derived using including the data from other countries having different soil and environmental conditions and may not reflect the real CH4 emission rates in Korea. The objective of this study was to estimate the baseline emission factor of CH4 in Korean paddy soils during rice cultivation. METHODS AND RESULTS: Methane emission patterns were characterized in four different paddy soils across country for a consecutive 3 years during the rice cultivation period. Rice plants were cultivated under continuous flooding and fertilized using the recommended chemical fertilization in Korea (N-P2O5-K2O=90-45-57kg/ha). The mean CH4 emission rate was 2.32 kg CH4/ha/day and the uncertainty of the investigated data was 21.7%, with a valuable error range at 1.82-2.82 kg CH4/ha/day with a 95% confidence interval. CONCLUSION(S): Conclusively, the Korean paddy soils` baseline emission factor of CH4 is approximately 2.32 kg CH4/ha/day and can be used to estimate the CH4 emissions more exactly.