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ATO 복합사를 이용한 열차단 직물의 태양방사투과율 변화 연구
최주환,김대근,김선남,최동혁,이승걸,Choi, Joo Hwan,Kim, Dae Geun,Kim, Sun Nam,Choi, Dong Hyuk,Lee, Seung Geol 한국섬유공학회 2016 한국섬유공학회지 Vol.53 No.6
In this study, we manufactured ATO (antimony tin oxide) combined fibers to improve solar energy transmittance of sunscreen fabrics. The results indicate that the solar energy transmittance is improved with increasing sheath ratios and ATO content. We observed that the MS2-7W sample with 50:50 sheath/core ratio and 3 wt% of ATO content show the best performance. We also manufactured the sunscreen fabrics using the developed ATO combined fibers to check the performance of the thermal barrier. The results of the solar energy transmittance analysis show that an approximate 58% improvement was achieved for the thermal barrier over the commercial sunscreen fabric without any ATO content.
제지폐수처리용 생물고분자응집제를 생산하는 Bacillus sp. K-111의 배양특성조사
권기석,손용호,최선택,정석관,송숙희,김동걸 7개 국립대학교 환경연구 논문집 공동발행 위원회 2002 환경연구논문집 Vol.2 No.1
Flocculant-producing microorganisms were screened from obtained strains in the laboratory using a pulp-wastewater treatment as the flocculating agent. K-111 strain that had high flocculating activity among them was selected and identified as Bacillus sp. K-111 16s rDNA sequencing. The favorable medium for the production of flocculant was glucose 1.5%, NH_4NO_3 0.2%, tryptone 0.01%, K_2HPO_4 0.08%, KH_2PO_4 0.06%, CaCO_3 0.03%, MgSO_4·7H_2O 0.005%, MnSO_4 0.005% in 1 liter of D.W. at initial pH 7.0. The optimum culture temperature and pH were 30℃ and pH 7.0, respectively. the flocculating activity was observed most highly after 36 to 48 hr of cultivation at the optimum conditions. the flocculating activity of produced biopolymer on optimum conditions was about 2.5-fold higher than that of screening medium.
조용균,이정남,서성옥,김선회,장진영,김상걸,윤영국,이우정,김민자 대한감염학회 2005 감염과 화학요법 Vol.37 No.6
Background : Ertapenem, a novel β-lactam agent with a wide range of activity, has a pharmacokinetic profile and antimicrobial spectrum that support its potential use as a once-a-day agent for the treatment of common mixed aerobic and anaerobic pathogens encountered in intraabdominal infections. Materials and Methods : The prospective, randomized, controlled, open, and multicenter trial was conducted to compare the clinical efficacy and safety of ertapenem with ceftriaxone plus metronidazole as therapy before or following adequate surgical management of complicated intraabdominal infections. Results : One hundred sixty-three patients were included in the modified intent-to-treat population, of which 134 were clinically evaluable. Patients with a wide range of infections were enrolled; perforated appendicitis or periappendiceal abscess were most common. As for the modified intent- to-treat groups, 71 of 72 (98.6%) patients treated with ertapenem and 73 of 80 (91.3%) treated with ceftriaxone/metronidazole showed favorable clinical response. Conclusion : In this study, the efficacy of ertapenem was equivalent to ceftriaxone plus metronidazole in the treatment of complicated intraabdominal infections. Ertapenem was generally well tolerated and had a similar safety and tolerability profile compared to ceftriaxone plus metronidazole. The results of this trial suggest that ertapenem could be considered as a useful option that could eliminate the need for combination and/or multi-dosed antibiotic regimens for the empiric treatment of complicated intraabdominal infections.
Efficient graph pattern matching framework for network-based in-vehicle fault detection
Baek, Sun Geol,Kang, Dong Hyun,Lee, Sungkil,Eom, Young Ik Elsevier 2018 Journal of Systems and Software Vol.140 No.-
<P><B>Abstract</B></P> <P>Abnormal messages propagated from faulty operations in an in-vehicle network may severely harm a vehicular system, but they cannot be easily detected when their information is not known in advance. To support an efficient detection of faulty message patterns propagated in the in-vehicle network, this paper presents a novel graph pattern matching framework built upon a message log-driven graph modeling. Our framework models the unknown operation of the in-vehicle network as a <I>query graph</I> and the reference database of normal operations as <I>data graph</I>s. Given a query graph and data graphs, we determine whether the query graph represents normal or fault operation by using the distance measure on the data graphs. The analysis of the faulty message propagation requires to consider the sequence of events in the distance measure, and thus, using the conventional graph distance measures can generate false negatives due to the lack of consideration of the sequence relationships among the events. We therefore propose a novel distance metric based on the maximum common subgraph (MCS) between two graphs and the sequence numbers of messages, which works robustly even for the abnormal faulty patterns and can avoid false negatives in large databases. Since the problem of MCS computation is NP-hard, we also propose two efficient filtering techniques, one based on the lower bound of the MCS distance for a polynomial-time approximation and the other based on edge pruning. Experiments performed on real and synthetic datasets to assess our framework show that ours significantly outperforms the previously existing methods in terms of both performance and accuracy of query responses.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A graph modeling technique to represent vehicle operations in network message logs. </LI> <LI> Detection of vehicle fault operations using a graph pattern matching. </LI> <LI> A novel graph-distance metric to improve the accuracy of the proposed method. </LI> <LI> Two efficient polynomial-time graph filtering techniques. </LI> <LI> Experiments against the existing approaches, in terms of performance and accuracy. </LI> </UL> </P>
Rotor Position Detection Method of a Single Phase Switched Reluctance Motor Using Back EMF
Han-Geol Sun,Duck-Sick Shin,Hyong-Yeol Yang,Young-Cheol Lim 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
This paper presents the position estimation and driving method of single phase Switched Reluctance Motor(SRM) using Back EMF. To drive SRM, the information about position of a rotor must be fully needed. Generally, a rotor's position sensor is used to detect the rotor position. However, most of position sensors are complex and increase the constructing cost of the system. Moreover, these sensors tend to decrease reliability of driving system. Therefore, a detecting method of a rotor's specific position using Back EMF is supposed to solve those problems mentioned above. When a rotor pole and a stator pole are overlapped, a variation occurs in the Back EMF waveform and the instant of the overlap can be detected. Therefore the rotor position and speed can be calculated and the SRM is driven by appropriate switching. The validity of presented method is verified through simulation and experiment.