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Amplification of ENSO effects on Indian summer monsoon by absorbing aerosols
Kim, Maeng-Ki,Lau, William K. M.,Kim, Kyu-Myong,Sang, Jeong,Kim, Yeon-Hee,Lee, Woo-Seop Springer-International 2016 Climate dynamics Vol.46 No.7
<P>In this study, we present observational evidence, based on satellite aerosol measurements and MERRA reanalysis data for the period 1979-2011, indicating that absorbing aerosols can have strong influence on seasonal-to-interannual variability of the Indian summer monsoon rainfall, including amplification of ENSO effects. We find a significant correlation between ENSO (El Nino Southern Oscillation) and aerosol loading in AprilMay, with La Nina (El Nino) conditions favoring increased (decreased) aerosol accumulation over northern India, with maximum aerosol optical depth over the Arabian Sea and Northwestern India, indicative of strong concentration of dust aerosols transported from West Asia and Middle East deserts. Composite analyses based on a normalized aerosol index (NAI) show that high concentration of aerosol over northern India in April-May is associated with increased moisture transport, enhanced dynamically induced warming of the upper troposphere over the Tibetan Plateau, and enhanced rainfall over northern India and the Himalayan foothills during May-June, followed by a subsequent suppressed monsoon rainfall over all India, consistent with the elevated heat pump (EHP) hypothesis (Lau et al. in Clim Dyn 26: 855-864, 2006. doi: 10.1007/s00382-006-0114-z). Further analyses from sub-sampling of ENSO years, with normal (<1-sigma), and abnormal (>1-sigma) NAI over northern India respectively show that the EHP may lead to an amplification of the Indian summer monsoon response to ENSO forcing, particularly with respect to the increased rainfall over the Himalayan foothills, and the warming of the upper troposphere over the Tibetan Plateau. Our results suggest that absorbing aerosol, particular desert dusts can strongly modulate ENSO influence, and possibly play important roles as a feedback agent in climate change in Asian monsoon regions.</P>
A Hybrid Recommendation Method with Reduced Data for Large-Scale Application
Sang Hyun Choi,Young-Seon Jeong,Jeong, Myong K IEEE 2010 IEEE transactions on systems, man and cybernetics. Vol.40 No.5
<P>Most recommendation algorithms attempt to alleviate information overload by identifying which items a user will find worthwhile. Content-based (CB) filtering uses the features of items, whereas collaborative filtering (CF) relies on the opinions of similar customers to recommend items. In addition to these techniques, hybrid methods have also been suggested to improve the performance of recommendation algorithms. However, even though recent hybrid methods have helped to avoid certain limitations of CB and CF, scalability and sparsity are still major problems in large-scale recommendation systems. In order to overcome these problems, this paper proposes a novel hybrid recommendation algorithm HYRED, which combines CF using the modified Pearson's binary correlation coefficients with CB filtering using the generalized distance-to-boundary-based rating. In the proposed recommendation system, the nearest and farthest neighbors of a target customer are utilized to yield a reduced dataset of useful information by avoiding scalability and sparsity problem when confronted by tremendous volumes of data. The use of reduced datasets enables us not only to lessen the computing effort, but also to improve the performance of recommendations. In addition, a generalized method to combine CF and CB system into a hybrid recommendation system is proposed by developing on the normalization metric. We have used this HYRED algorithm to experiment with all possible combination of CF and statistical-learning-based CB filtering. These experiments have shown that the use of reduced datasets saves computational time, and neighbor information improves performance.</P>
KC-100 항공기 주날개의 결빙에 의한 공력 영향성 연구
이창훈(C.H. Lee),신성민(S.M. Sin),정성기(S.K. Jung),명노신(R.S. Myong),조태환(T.H. Cho),정재홍(J.H. Jung),정훈화(H.H. Jeong) 한국전산유체공학회 2010 한국전산유체공학회 학술대회논문집 Vol.2010 No.5
Ice accretion on aircraft surface in icing condition induces external shape changes that may result in a hazard factor for aircraft safety. In case of aircraft main wing with high lift equipment, ice accretion is observed around leading edge and flap. During the design phase, location of ice accretion and associated aerodynamic characteristics must be investigated. In this study, icing effects on aerodynamic characteristics of the main wing section of KC-100 aircraft are investigated using an Eulerian-based FENSAP-ICE code in various icing conditions.
( Hyung Woo Kim ),( Ju Sang Kim ),( Jinsoo Min ),( Ah Young Shin ),( Joon Young Choi ),( Jun-pyo Myong ),( Yunhee Lee ),( Hyeon Woo Yim ),( Hyunsuk Jeong ),( Sanghyuk Bae ),( Ji Young Kang ),( Hyeon-k 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background This study aims to estimate the impact of current latent tuberculosis infection screening (LTBI) strategy - screening individuals with medical risk factors for tuberculosis (TB). Methods 8 prevalent cohorts extracted from National Health Information Database including individuals who had disease with high or moderate TB risk specified in Korean guidelines for TB at the timepoint of January 1st, 2018 were followed up for a year by matching with nationwide notified TB cases in 2018. Standardized incidence ratio (SIR) of TB was calculated in each cohort by comparing with nationwide TB incidence after stratification by age and sex. The proportion of TB cases from each cohort among nationwide TB cases notified in 2018 was also investigated. Results A total of 19,856 patients with human immunodeficiency virus, 63,003 patients in post-organ transplantation status, 36,946 patients who underwent tumor necrosis factor antagonist treatment, 130,885 patients with end-stage renal disease, 253,585 patients in post-gastrectomy status, 65,647 patients with head or neck malignancy, 127,850 patients with hematologic malignancy and 3,721,100 patients with diabetes mellitus (DM) were identified. SIR of TB in each cohort was 6.63 (95% confidence interval, 5.47-8.04), 3.26 (2.76-3.86), 4.97 (4.13-5.99), 2.73 (2.52-2.96), 1.60 (1.48-1.73), 1.68 (1.46-1.93), 2.05 (1.85- 2.28) and 1.30 (1.27-1.33), respectively. Among 33,795 nationwide TB cases notified in 2018, the number of patients from each cohort was 103 (0.3%), 134 (0.4%), 111 (0.3%), 601 (1.8%), 594 (1.8%), 190 (0.6%), 348 (1.0%) and 6,835 (20.2%), respectively. Patients who had disease with high or moderate TB risk accounted for 30.6% (4,677 / 15,281) of TB cases in elderly population aged 65 or over. Without patients from the DM cohort, the proportion had decreased into 7.0% (1,063 / 15,281). Conclusions Impact of current LTBI strategy focusing on medical high-risk group is limited. Further high-risk groups should be identified.