http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Lee, Jihong,Kim, Kyung Hwan,Lee, Ok Suk,Choi, Tae-Lim,Lee, Hee-Seung,Ihee, Hyotcherl,Sohn, Jeong-Hun American Chemical Society 2016 Journal of organic chemistry Vol.81 No.17
<P>As a guide for selective reactions toward either Z- or E-alkene in a metathesis reaction, the relative preference of metathesis Ru catalysts for each stereoisomer was determined by a method using time-dependent fluorescence quenching. We found that Ru-1 prefers the Z-isomer over the E-isomer, whereas Ru-2 prefers the E-isomer over the Z-isomer. The Z/E-alkene preference of the catalysts precisely predicted the Z/E isomeric selectivity in the metathesis reactions of diene substrates possessing combinations of Z/E-alkenes. For the diene substrates, the rate order of the reactions using Ru-1 was Z,Z-1,6-diene > Z,E-1,6-diene > E,E-1,6-diene, while the completely opposite order of E,E-1,6-diene > Z,E-1,6-diene > Z,Z-1,6-diene was exhibited in the case of Ru-2.</P>
Learning-based Localization of AUV with Outlier Sensor Data
Gwonsoo Lee,Phil-Yeob Lee,Ho Sung Kim,Hansol Lee,Jihong Lee 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This paper describes localization of autonomous underwater vehicles(AUV) in case of some navigation sensor data are an outlier. In that situation, using existing navigation algorithms causes problems in long-range localization including integration. All the integration-based existing navigation algorithms can estimate exact position, only if the integration is performed under the assumption that the position of previous step is correct. Therefore, even if an outlier sensor data occurs in a short period of time, problems in localization will continue. Also, outlier sensor data related to heading (direction of AUV) causes bigger problems. In this work, we propose a localization method through learning that is used in a situation with outlier sensor data. To do so, a learning model is designed by fully connected model and is trained through partly contaminated real sea data. For Training, displacement between subsequent GPS data is taken as reference. As a result, average Euclidean error in incremental displacements of the existing navigation algorithm result and the reference is 0.45m. On the other hand, the proposed learning-based localization shows the average Euclidean error of 0.24m. This result doesn’t mean that the localization method through learning is accurate than the existing navigation algorithm. However, if there are outlier sensor data related to heading, we can conclude that using our proposed method shows more accurate localization.
Lee, Boram,Lee, Jihong,Cheon, Jin-Hong,Sung, Hyun-Kyung,Cho, Seung-Hun,Chang, Gyu Tae Hindawi 2018 Evidence-based Complementary and Alternative Medic Vol.2018 No.-
<P><I>Objectives. </I>We aimed to summarize and critically evaluate the available evidence regarding the efficacy and safety of acupuncture for children with autism spectrum disorder (ASD).<I> Methods.</I> We searched 13 databases for studies published up to December 2016. Randomized controlled trials (RCTs) evaluating the efficacy of acupuncture for children with ASD were included. Outcome measures were the overall scores on scales evaluating the core symptoms of ASD and the scores for each symptom, such as social communication ability and skills, stereotypies, language ability, and cognitive function. Effect sizes were presented as mean differences (MD).<I> Results.</I> Twenty-seven RCTs with 1736 participants were included. Acupuncture complementary to behavioral and educational intervention significantly decreased the overall scores on the Childhood Autism Rating Scale (CARS) (MD −8.10, 95% CI −12.80 to −3.40) and the Autism Behavior Checklist (MD −8.92, 95% CI −11.29 to −6.54); however, it was unclear which of the ASD symptoms improved. Acupuncture as a monotherapy also reduced the overall CARS score. The reported adverse events were acceptable.<I> Conclusions.</I> This review suggests that acupuncture may be effective and safe for pediatric ASD. However, it is not conclusive due to the heterogeneity of the acupuncture treatment methods used in the studies.</P>
A Model of Infinitely Repeated Litigation with Correlated Decisions
Jihong Lee 한국계량경제학회 2010 계량경제학보 Vol.21 No.4
This paper considers a model of repeated litigation in which a single long-lived defendant faces an infinite sequence of short-lived plaintiffs. Court decisions are correlated across periods, rejecting the presence of precedent effects. We derive unique Markov perfect equilibrium payoffs for the long-lived defendant, and compare them to the predictions of a corresponding two-period benchmark model.