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Design of the Advanced Metadata Service System with AMGA for the Belle II Experiment
S. Ahn,K. Cho,S. Hwang,J. Kim,H. Jang,B. K. Kim,H. Yoon,J. Yu,Z. Drasal,T. Hara,Y. Iida,R. Itoh,G. Iwai,N. Katayama,Y. Kawai,S. Nishida,T. Sasaki,Y. Watase,R. Fruhwirth,W. Mitaroff,R. Grzymkowski,M. S 한국물리학회 2010 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.57 No.4
The Belle II experiment is expected to produce 50 times more data than the existing Belle experiment. Such huge data production requires not only scalability with respect to the storage service but also scalability regarding the metadata service. There has already been a metadata service at the Belle experiment, but it is not proper for the Belle II experiment because it has scalability problems and it is not intended to be used in a distributed grid environment. To deal with these issues, we designed an advanced metadata service system based on AMGA, which provides efficient and scalable metadata searching. We have built testbed sites to test the correctness, performance and scalability of the advanced metadata service system, and it has been proved to be able to provide efficient metadata searching for the Belle II experiment.
The Embedment of a Metadata System at Grid Farms at the Belle II Experiment
S. Ahn,J. H. Kim,T. Huh,S. Hwang,조기현,H. Jang,B. K. Kim,H. Yoon,J. Yu,Z. Drasal,T. Hara,Y. Iida,R. Itoh,G. Iwai,N. Katayama,Y. Kawai,S. Nishida,T. Sasaki,Y. Watase,T. Uglov,R. Fruhwirth 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.4
In order to search for new physics beyond the standard model, the next generation of B-factory experiment, Belle II will collect a huge data sample that is a challenge for computing systems. The Belle II experiment, which should commence data collection in 2015, expects data rates 50 times greater than that of Belle. In order to handle this amount of data, we need a new data handling system based on a new computing model, which is a distributed computing model including grid farms as opposed to the central computing model using clusters at the Belle experiment. We have constructed a metadata system and embedded the system in the grid farms of the Belle II experiment. We have tested the system using grid farms. Results show good performance in handling such a huge amount of data.
Illiquidity as a Priced Factor : Evidence from Intradaily Data
Sahn-Wook Huh 한국재무학회 2009 한국재무학회 학술대회 Vol.2009 No.05
A number of proxies for illiquidity have been proposed in the literature that relates trading costs to asset prices. However, some of the illiquidity measures provide equivocal relations to returns. Other measures conceal important dynamics underlying highfrequency data because they are constructed from daily or lower frequency databases. In this study, we adopt a direct and intuitive approach to estimating illiquidity. Specifically, we estimate a set of price-impact parameters based on four different models using the intradaily order flows processed via the Lee and Ready (1991) algorithm from the tickby- tick databases for NYSE stocks over the past 23 years. Our empirical results provide strong evidence that illiquidity measured by the price-impact parameters is priced in the cross-section of stock returns, even after controlling for risk factors, firm characteristics, and other illiquidity proxies prevalent in the literature. Consistently high levels of statistical significance also suggest that the price-impact parameters estimated using the intradaily order flows are more reliable proxies for illiquidity.
Sung-Sahn Lee,Il Su Kim,Young-Wan Moon 대한정형외과학회 2023 Clinics in Orthopedic Surgery Vol.15 No.4
Background: It is controversial whether revision total knee arthroplasty (TKA) due to septic failure shows inferior clinical outcomes compared with TKA due to aseptic failure. Moreover, few studies have compared the infection rates after revision TKA between aseptic and septic failure. We aimed to compare the clinical outcomes and infection rates after aseptic and septic revision TKA. Methods: Between April 2006 and May 2019, 68 and 26 patients underwent revision TKA due to aseptic failure (aseptic group) and septic failure (septic group), respectively. The postoperative range of motion (ROM), Western Ontario and McMaster Universities Osteoarthritis index, Knee Society Knee Score (KSKS), Knee Society Function Score (KSFS), and infection rates were compared between the two groups. Results: The mean follow-up durations in the aseptic and septic groups were 44.4 and 54.8 months, respectively. The septic group showed inferior postoperative ROM (124.1° and 109.4°, p = 0.004), KSKS (88.9 and 78.8, p = 0.001), and KSFS (72.8 and 59.0, p = 0.001). Three patients of aseptic group had infection. Three patients of septic group had recurred infection (same pathogen with the first infection) and 1 patient had a new infection (different pathogen). The septic group showed slightly higher but not significantly different infection rates (4.4% and 15.4%, p = 0.089). Conclusions: Revision TKA with septic failure showed inferior postoperative clinical outcomes compared with aseptic revision surgery. A slightly higher infection rate was observed in the septic group but it was not significantly different.
( Bom Sahn Kim ),( Won Jun Kang ),( So Won Oh ),( Dong Soo Lee ),( June-key Chung ),( Myung Chul Lee ) 대한갑상선학회 2009 International Journal of Thyroidology Vol.2 No.2
Background and Objectives: We investigated the usefulnesses of SUV and SUV ratios in terms of discriminating focal thyroid lesions incidentally detected by F-18 FDG PET/CT (FDG PET) in patients with various cancers. Materials and Methods: Among 2,635 patients, 20 patients with 22 thyroid incidentalomas (benign vs. malignant=10 vs. 12) on FDG PET were assessed. Maximal SUV was measured by drawing a ROI on thyroid lesions, on contralateral thyroid lobes, and on the liver. SUV ratio was calculated as the thyroid lesions versus the contralateral lobes and liver. Results: A marginally significant difference in maximal SUV was found between malignant and benign nodules (4.67±2.78 vs. 2.59±1.84, p=0.05). However, more significant differences were found using SUV ratio to normal organs than that of SUV. Malignant nodules had a higher SUV ratio versus liver than benign nodules (2.09±0.96 vs. 1.13±0.65, p=0.012). The SUV ratio of lesions versus contralateral lobes were found to significantly predict the presence of malignancy (3.74±2.19 vs. 1.89±1.17, p=0.027). By ROC curve analysis, the best SUV value cut-off for the prediction of malignancy was 2.42 with a sensitivity of 91.7% and a specificity of 60.0% (AUC=0.758). Similarly, the best SUV ratio cut-off versus the liver was 1.34 with a sensitivity of 91.7% and a specificity of 70.0% (AUC=0.808). But, there was no significant difference between areas of the ROC curves (p=0.736). Conclusion: The SUV ratio had a tendency to discriminate benign from malignant thyroid incidentalomas better than the SUV method. Further investigations with larger number of patients are needed.