• 한국전산유체공학회:학술대회논문집
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• 2000.10a
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• pp.78-85
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• 2000

The transient laminar reacting flows around fuel droplet have been numerically analyzed. The physical models used in this study can account for the variable thermophysical properties and the chemistry is represent by the one-step global reaction model. The present study is focused on the vaporization and ignition characteristics, flame structure including wake flame, transition flame and envelope flame, and interaction between droplets. special emphasis is given to the triple flame structure and flame stabilization.

• Transactions of the Korean hydrogen and new energy society
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• v.19 no.5
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• pp.386-393
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• 2008

The Sulfur-iodine(SI) thermochemical cycle is one of the most promising methods for massive hydrogen production. For the purpose of continuous operation of SI cycle, phase separation characteristics into two liquid phases ($H_2SO_4$-rich phase and $HI_x$-rich phase) were directly investigated via Bunsen reaction. The experiments for Bunsen reaction were carried out in the temperature range, from 298 to 333 K, and in the $I_2/H_2O$ molar ratio of $0.109{\sim}0.297$ under a continuous flow of $SO_2$ gas. As the results, solubility of $SO_2$, decreased with increasing the temperature, had considerable influence on the global composition in the Bunsen reaction system. The amounts of impurity in each phase(HI and $I_2$ in $H_2SO_4$-rich phase and $H_2SO_4$ in $HI_x$-rich phase) were decreased with increasing $H_2SO_4$ molar ratio and temperature. To control the amounts of impurity in $HI_x$-rich phase, temperature is a factor more important than $I_2/H2_O$ molar ratio. On the other hand, the affinity between $HI_x$ and $H_2O$ was increased with increasing $I_2/H2_O$molar ratio.

• Korean Journal of Cognitive Science
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• v.23 no.2
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• pp.269-293
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• 2012

This study aimed to investigate the interactive effects of individual's cultural disposition (individualism, collectivism, horizontal disposition and vertical disposition) and cognitive style (analytic vs. holistic thinking) combination on differences in global precedence. For this purpose, the participants were divided into 4 different cultural disposition groups based on Singelis et al.'s(1995) INDCOL scale, and 2 cognitive style groups based on Choi et al.'s(2007) AHS, and required to respond selectively to global or local property of two types of compound stimuli (compound figure and compound letter). Reaction time and error rates for both global or local property were analyzed and compared as the dependent measurement. The results can be summarized as followings. First, faster responses were observed in compound figure condition than in compound letter condition, and to global property than to local property. Second, contrasting to individualism-cognitive style or horizontal disposition-cognitive style combinations, significant interaction effects both between collectivism and cognitive style, and between vertical disposition and cognitive style on global/local processing were found. This result indicated that combinations of collectivism-holistic thinking and vertical disposition-holistic thinking can induced larger global precedence effect than other combinations of cultural disposition and cognitive style.

• KDI Journal of Economic Policy
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• v.32 no.3
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• pp.1-32
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• 2010

The global financial crisis has exerted enormous impacts on the attainment of inflation target in Korea. The annual average CPI inflation was 3.3% during the targeting period of 2007-2009 and the target was $3.0{\pm}0.5%$. Thus Korea has succeeded in keeping annual average CPI inflation just below the upper limit of the 2007-2009 target under the global crisis. This paper intends to evaluate the performance of the inflation targeting system in Korea. First, it estimates the conventional call rate reaction equation under the global crisis and finds that the policy interest rates never reacted to expected inflation, output gap, and won/dollar exchange rate, as expected by theory. Second, it identifies the shock of global financial crisis into core and non-core, applying the structural VAR model. The core shock was defined to have no (medium- to) long-run impact on real output. The core shock was identified to have the character of the demand shock, since it has the positive impact on the inflation and output in the short run. The structural core inflation due to core shock was an attractor of headline inflation, not vice versa. Therefore, the structural core inflation that reflects the demand-side shock would be the better intermediate target for the final headline inflation target than the official core inflation that excludes the volatile inflation of agricultural and oil-related products. During the inflation targeting period of 2007-2009, the structural core inflation was more volatile than the official core inflation, because the global crisis has very large negative impacts on the domestic demand as well as the prices of agricultural and oil-related products. This paper shows that the negative core shock during the fourth quarter of 2008 was larger than that in the financial crisis in 1998. But the core shock turned into positive very quickly in 2009, as the Korean economy recovered very quickly from crisis. The volatile changes in structural core inflation suggests that the Bank of Korea barely managed to attain the 2007-2009 inflation target, owing to the very large negative impacts of the global financial crisis on the domestic demand. It also suggests that the rapid rise in core inflation with the rapid recovery of the Korean economy will lead to rapid rise in headline inflation.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.35 no.6
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• pp.625-632
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• 2011

The ignition characteristics of a $CH_4$/hot air counterflow diffusion flame were investigated numerically using a flame-controlling continuation method. For the chemical reactions, the GRI-v1.2 reaction mechanism was used in the simulation. The maximum flame temperature was presented in the space of the inverse global strain rate, and showed S-curve-type behavior. The flame temperatures and velocities of the upper and middle branches were compared for different global strain rates. In addition, the global strain rate was compared with the local strain rates defined at the flame surface and the boundaries of the fuel and oxidizer sides of the fuel/air mixing layer. These local strain rates correlated well with the global strain rate.

• Journal of Sensor Science and Technology
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• v.32 no.3
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• pp.169-173
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• 2023

With the increasing concern of global warming caused by greenhouse gases owing to the recent industrial development, there is a growing need for advanced technology to control these emissions. Among the various greenhouse gases, nitrogen dioxide (NO₂) is a major contributor to global warming and is mainly released from sources, such as automobile exhaust and factories. Although semiconductor-type NO₂ gas sensors, such as SnO₂, have been extensively studied, they often require high operating temperatures and complicated manufacturing processes, while lacking selectivity, resulting in inaccurate measurements of NO₂ gas levels. To address these limitations, a novel sensor using PbS quantum dots (QDs) was developed, which operates at low temperatures and exhibits high selectivity toward NO₂ gas owing to its strong oxidation reaction. Furthermore, the use of P3HT conductive polymer improved the thin film quality, reactivity, and reaction rate of the sensor. The sensor demonstrated the ability to accurately measure NO₂ gas concentrations ranging from 500 to 100 ppm, with a 5.1 times higher sensitivity, 1.5 times higher response rate, and 1.15 times higher recovery rate compared with sensors without P3HT.

• Korean Journal of Culture and Social Issue
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• v.18 no.4
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• pp.463-479
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• 2012

The implicit association test (IAT) measures implicit attitudes of participants and is regarded as an effective method for expecting future behaviors. Based on the IAT, this study aimed to answer the question, whether implicit attitudes of an individual about creativity have any kinds of impact on global perception, which might be important for a creative process. In the experiment, participants were presented words, which were associated with one of four categories, while one attitude category (creativity /practicality) and one evaluative category (good/bad) were always paired together either on the left side or on the right side of the computer screen. After completing the IAT test, participants were led to fill out a questionnaire to assess explicit attitudes toward creativity and practicality. Then they conducted the navon task, in which they had to find one of two letters, 'F' or 'H', which were presented either as a local form or as a global form. Finally, the participants had to write down as many untypical functions of an object as possible. The results showed that not the scores of explicit attitude scores but the IAT scores correlated with the reaction time of global perception. The global perception was faster in the participants with the low IAT scores than the local perception. Compared to this, the global perception benefits disappeared in the participants with the high IAT scores. Additionally, more creative ideas about the functions of the object were listed in the group with the lower IAT scores. Implications of the role of implicit attitudes about creative processes are discussed.

• Korean Chemical Engineering Research
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• v.56 no.2
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• pp.176-185
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• 2018

As global warming accelerates, greenhouse gas reduction becomes more important. Carbon dioxide dry reforming is a promising green-house gas reduction technology that can obtain CO and $H_2$ which are high value-added materials by utilizing $CO_2$ and $CH_4$ which are greenhouse gases. However, there is a significant coking problem during operation of the dry reforming reactor. Because the carbon dioxide dry reforming is a strong endothermic reaction, the temperature of the reactor drops near the reactor inlet and causes coke formation. To solve this problem, it is important to ensure that the reaction takes place in a temperature range where coke production is minimized. In this study, we proposed a design method that can maintain reaction temperature in the region where the coke is rarely generated by using the new catalyst configuration method. The design method also optimizes the reactor by solving the optimization problem which minimizes the reactor length for a given reaction conversion by using the fuel flow rate, catalyst density, and output temperature by section as optimization variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.644-650
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• 2021

This study characterized the reforming of methane with carbon dioxide, which is a major cause of global warming. The methane decomposition reaction with carbon dioxide was carried out using transition metal catalysts. The reactivity of tin was lower than that of a transition metal, such as nickel and iron. Most of the decomposition reaction occurred in the solid state. The melting point of tin is 505.03 K. Tin reacts in a liquid phase at the reaction temperature and has the advantage of separating carbon produced by the decomposition of methane from the liquid tin catalyst. Therefore, deactivation due to the deposition of carbon in the liquid tin can be prevented. Methane decomposition with carbon dioxide produced carbon monoxide and hydrogen. Ni was used to promote the catalyst performance and enhance the activity of the catalyst and lifetime. In this study, catalysts were synthesized using the excess wet impregnation method. The effect of the reaction temperature, space velocity was measured to calculate the activity of catalysts, such as the activation energy and regeneration of catalysts. The carbon-deposited tin catalyst regeneration temperature was 1023 K. The reactivity was improved using a nickel co-catalyst and a water supply.

• Korean Journal of Materials Research
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• v.33 no.5
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• pp.175-188
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• 2023

Water electrolysis holds great potential as a method for producing renewable hydrogen fuel at large-scale, and to replace the fossil fuels responsible for greenhouse gases emissions and global climate change. To reduce the cost of hydrogen and make it competitive against fossil fuels, the efficiency of green hydrogen production should be maximized. This requires superior electrocatalysts to reduce the reaction energy barriers. The development of catalytic materials has mostly relied on empirical, trial-and-error methods because of the complicated, multidimensional, and dynamic nature of catalysis, requiring significant time and effort to find optimized multicomponent catalysts under a variety of reaction conditions. The ultimate goal for all researchers in the materials science and engineering field is the rational and efficient design of materials with desired performance. Discovering and understanding new catalysts with desired properties is at the heart of materials science research. This process can benefit from machine learning (ML), given the complex nature of catalytic reactions and vast range of candidate materials. This review summarizes recent achievements in catalysts discovery for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). The basic concepts of ML algorithms and practical guides for materials scientists are also demonstrated. The challenges and strategies of applying ML are discussed, which should be collaboratively addressed by materials scientists and ML communities. The ultimate integration of ML in catalyst development is expected to accelerate the design, discovery, optimization, and interpretation of superior electrocatalysts, to realize a carbon-free ecosystem based on green hydrogen.