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Lee, Minseong,Hong, Sungwon,Kim, Dongjae,Kim, Eunjoo,Lim, Kyunghwan,Jung, Jae Chil,Richter, Hannes,Moon, Jong-Ho,Choi, Nakwon,Nam, Jaewook,Choi, Jungkyu American Chemical Society 2019 ACS APPLIED MATERIALS & INTERFACES Vol.11 No.4
<P>Chabazite (CHA)-type zeolites are promising for the separation of CO<SUB>2</SUB> from larger molecules, such as N<SUB>2</SUB> (relevant to postcombustion carbon capture) and CH<SUB>4</SUB> (relevant to natural gas/biogas upgrading). In particular, the pore size of CHA zeolites (0.37 × 0.42 nm<SUP>2</SUP>) can recognize slight molecular size differences between CO<SUB>2</SUB> (0.33 nm) and the larger N<SUB>2</SUB> (0.364 nm) or CH<SUB>4</SUB> (0.38 nm) molecules, thus allowing separation in favor of CO<SUB>2</SUB> through CHA membranes. Furthermore, the siliceous constituents in the CHA zeolite can reduce the adsorption capacity toward the smaller H<SUB>2</SUB>O molecule (0.265 nm) and, thus, the H<SUB>2</SUB>O permeation rate. This is highly desirable for securing good molecular sieving ability with CO<SUB>2</SUB> permselectivity in the presence of H<SUB>2</SUB>O vapor. Indeed, a siliceous CHA film obtained with a nominal Si/Al ratio of 100 (CHA_100) showed high CO<SUB>2</SUB>/N<SUB>2</SUB> and CO<SUB>2</SUB>/CH<SUB>4</SUB> separation performance, especially in the presence of H<SUB>2</SUB>O vapor; ∼13.4 CO<SUB>2</SUB>/N<SUB>2</SUB> and ∼37 CO<SUB>2</SUB>/CH<SUB>4</SUB> separation factors (SFs) at 30 °C. These SFs were higher than the corresponding values (∼5.2 CO<SUB>2</SUB>/CH<SUB>4</SUB> SFs and ∼31 CO<SUB>2</SUB>/CH<SUB>4</SUB> SFs) under dry conditions; such improvement could be ascribed to defect blocking by physisorbed water molecules. Finally, the contribution of molecular transport through zeolitic and nonzeolitic parts was quantitatively analyzed by combining information extracted from image processing of fluorescence confocal optical microscopy images with a one-dimensional permeation model. It appears that ∼19 and ∼20% of the total CO<SUB>2</SUB> permeance for CHA_100 were reduced due to transport inhibition by the physisorbed water molecules on the membrane surface and defect, respectively.</P> [FIG OMISSION]</BR>
Robust Pitch on Silicon Nanolayer-Embedded Graphite for Suppressing Undesirable Volume Expansion
Choi, Seong-Hyeon,Nam, Gyutae,Chae, Sujong,Kim, Donghyuk,Kim, Namhyung,Kim, Won Sik,Ma, Jiyoung,Sung, Jaekyung,Han, Seung Min,Ko, Minseong,Lee, Hyun-Wook,Cho, Jaephil Wiley (John WileySons) 2019 ADVANCED ENERGY MATERIALS Vol.9 No.4
Optimizing TensorFlow Performance by Reconstructing the Convolution Routine
Minseong Kim,Kyu Hyun Choi,Yoonah Paik,Seon Wook Kim 대한전자공학회 2021 IEIE Transactions on Smart Processing & Computing Vol.10 No.2
Using deep learning, we can currently build computational models composed of multiple processing layers to learn representations of data. Convolutional neural networks (CNNs) have been widely adopted to achieve significant performance in image recognition and classification. TensorFlow, an open-source deep learning framework from Google, uses profiling to select one convolution algorithm, from among several available, as the core of a CNN to deliver the best performance in terms of execution time and memory usage. However, the overhead from profiling is considerably significant, because TensorFlow executes and profiles all the available algorithms for the best selection whenever an application is launched. We observe that memory usage overshoots during profiling, which limits data parallelism, and thus, fails to deliver maximum performance. In this paper, we present a novel profiling method to reduce overhead by storing the profile result from the first run and reusing it from the second run on. Using Inception-V3, we achieved up to 1.12 times and 1.11 times higher throughput, compared to the vanilla TensorFlow and TensorFlow with XLA JIT compilation, respectively, without losing accuracy.
Education Competition and Redistribution
Minseong Kim,Bong Je Choi 한국경제연구학회 2010 Korea and the World Economy Vol.11 No.2
The paper develops a general equilibrium model of education competition where entry into the higher education sector is a costly choice due to limited accommodation. We show that wealth distribution plays a crucial role in determining the extent of education competition. Redistribution via a simple tax-and-subsidy program may increase or decrease the extent of education competition depending on the initial configuration of the equilibrium. We also construct a measure of college premium and show that the redistribution program reduces the relative college premium for rich individuals.
최영은(Choi Youngeun),김성수(Kim Sungsoo),이창주(Lee Changju),김민성(Kim Minseong) 한국철도학회 2008 한국철도학회 학술발표대회논문집 Vol.- No.-
In Korea, the concentration for the use of urban railroads is comparatively high during peak hours. In case of road traffic, overcrowdness leads the increase of total travel time and cost naturally but this does not happen in railroad systems because of fixed operational interval. Thus, passenger"s disutility is generated physically and mentally from congestion increment. The increase of railroad capacity from new transit lines and expansion of existed lines contributes traveler"s comfort benefits to rising. However, present evaluation guidelines for feasibility studies of road and railroad projects do not include any valuation methodology about passenger"s comfort benefits. Therefore, in this research, various factors affecting comfort benefits are reviewed and stated preference survey is performed in order to estimate traveler"s comfort benefits for congestion reduction. In addition, willingness to pay for congestion avoidance is calculated from that stated preference survey based on Tobit Model. As a result, detailed unit for willingness to pay according to congestion reduction is proposed in this study.