• Korean Journal of Community Nutrition
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• v.12 no.5
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• pp.639-645
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• 2007

Using the diet rice bowl, this study examined whether visual cues related to portion size can influence intake volume without altering satiation. 24 subjects ate lunch and subsequent dinner meal in the lab once a week for 2 weeks. Each week at noon, they were served one of two different sizes of a rice (150 g of rice by the diet rice bowl and 210 g of rice by the general rice bowl) but recognized the same volume of which they could eat as much as they wanted of side dishes. Subjects returned to the lab five hours later for a standard dinner, which was consumed ad libitum. Results showed that the subjects who were eating from the diet rice bowl ate less rice (222.4 Kcal vs 306.5 Kcal, p < 0.001) and total energy intake (412.5 Kcal vs 499.2 Kcal, p < 0.001) than those eating from a general rice bowl at lunch. However, despite consuming 21% less energy intake at lunch, the rates of satiety were not significantly different after eating from the diet rice bowl and from the general diet bowl. And there were no significant difference in rice intake and energy intake at dinner between the diet rice bowl and the general rice bowl. These results suggest decreasing the portion size by the diet rice bowl with biased visual cues leads to decreased rice intake and energy intake without altering the satiation. This is, the decreased amount of rice in a diet rice bowl may implicitly suggest what might be construed as an appropriate amount to consume and eventually it suggests smaller consumption norms.

• Journal of Biosystems Engineering
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• v.38 no.4
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• pp.306-311
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• 2013

Purpose: With the ever-rising energy prices, thermal energy heavily consuming facilities of the agricultural sector such as commercialized greenhouses and large-scale Rice Processing Complexes (RPCs) need to cut down their energy cost if they must run profitable businesses continually. One possible way to reduce their energy cost is to utilize combustible agricultural by-products or low-price oil instead of light oil as the fuel for their boiler systems. This study aims to analyze the heavy oil combustion characteristics of a newly developed hot water boiler system that can use both rice husk and heavy oil as its fuel convertibly. Methods: Heavy oil combustion experiments were conducted in this study employing four fuel feed rates (7.6, 8.5, 9.5, 11.4 $l/h$) at a combustion furnace vacuum pressure of 500 Pa and with four combustion furnace vacuum pressures (375, 500, 625, 750 Pa) at fuel feed rates of 9.5 and 11.4 $l/h$. Temperatures at five locations inside the combustion furnace and 20 additional locations throughout the whole hot water boiler system were measured to ascertain the combustion characteristics of the heavy oil. From the temperature measurement data, the thermal efficiency of the system was calculated. Flue gas smoke density and concentrations of air-polluting components in the flue gas were also measured by a gas analyzer. Results: As the fuel feed rate or combustion furnace vacuum pressure increased, the average temperature in the combustion furnace decreased but the thermal efficiency of the system showed no distinctive change. On the other hand, the thermal efficiency of the system was inversely proportionally to the vacuum level in the furnace. For all experimental conditions, the thermal efficiency remained in the range of 80.1-89.6%. The CO concentration in the flue gas was negligibly low. The NO and $SO_2$ concentration as well as the smoke density met the legal requirements. Conclusions: Considering the combustion temperature characteristics, thermal efficiency, and flue gas composition, the optimal combustion condition of the system seemed to be either the fuel feed rate of 9.5 $l/h$ with a combustion furnace vacuum pressure of 375 Pa or a fuel feed rate of 11.4 $l/h$ with a furnace vacuum pressure between 500 Pa and 625 Pa.

• Korean Journal of Community Nutrition
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• v.29 no.1
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• pp.65-80
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• 2024

Objectives: This study aims to compare changes in physical factors, health behaviors, eating habits, and nutritional intake among Korean male and female adults over a period of three years (2019-2021) before and after the outbreak of coronavirus disease 2019 (COVID-19). Methods: This study utilized raw data from the 8th Korea National Health and Nutrition Examination Survey (2019-2021). The participants in this study included 6,235 individuals in 2019, 5,865 individuals in 2020, and 5,635 individuals in 2021. Individuals whose daily energy intake was less than 500 kcal or exceeded 5,000 kcal were excluded from the study. Results: In comparison to 2019, overweight/obesity rates, weight, waist circumference, weekend sleep hours, and resistance exercise days/week increased in both male and female during the COVID-19 pandemic. Regarding eating habits, the proportions of people skipping breakfast, not eating out, consuming health supplements, and recognizing nutritional labels increased in 2020 and 2021, whereas the rate of skipping dinner decreased. Total energy intake has continued to decrease for the two years since 2019. A comparison of nutrient intake per 1,000 kcal before and after the outbreak of COVID-19 revealed that intake of nutrients, including protein, phosphorus, iron, vitamin A, riboflavin, and niacin increased, while folic acid intake decreased. In male, calcium, phosphorus, riboflavin, and niacin intakes increased, whereas iron, vitamin C, and folic acid intakes decreased. In female, phosphorus, iron, vitamin A, and riboflavin intake increased significantly, while protein and niacin intake decreased significantly. Conclusions: After COVID-19, the obesity rate, breakfast skipping rate, health supplement intake, and nutritional label use increased, while the frequency of eating out, dinner skipping rate, and total energy intake decreased. These environmental changes and social factors highlight the need for nutritional education and management to ensure proper nutritional intake and reduce obesity rates in the post-COVID-19 era.

• Journal of Energy Engineering
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• v.23 no.3
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• pp.203-210
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• 2014

In this study, combustion behaviour were to analyze by comparing experimental data against predicted values. In developing pellet boiler performance, various factors such as combustion chamber shape, input air velocity, the amount of fuel, temperature, and fuel characteristics need to be analyzed. Analytical model using a numerical method is useful to overcome time and cost consuming by practical experiment. By controlling feeding rate of fuel, flue gas composition and temperature distribution obtained form experiment were compared with predicted values using FLUENT(ANSYS, Inc., Southpointe). Measurement were in good agreement with model predictions : with 0.60 % for $CO_2$ 0.73% for $O_2$ when compared with independent data sets.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.2
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• pp.194-200
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• 2007

The purpose of this study was to observe the effects of fiber free control diet (CD), cellulose diet (CED) and pectin diet (PTD) on diet induced thermogenesis (DIT) in healthy Korean woman for 3 hours. The three test diets were as follows: CD (carbohydrate intake: 63.4% of energy, protein intake: 14.0% of energy and fat intake: 25.8% of energy), CED (carbohydrate intake: 62.5% of energy, protein intake: 14.0% of energy and fat intake: 26.1% of energy) and PTD (carbohydrate intake: 62.7% of energy, protein intake: 14.0% of energy and fat intake: 26.2 of energy). Groups were served 10 g of cellulose for CED and 10 g of pectin for PTD, respectively. DIT was measured at fasting state and at 30, 60, 90, 120, 150 and 180 min after consuming each diet. The mean age of all subjects was $22.3{\pm}1.9$ years. Body weight was $52.5{\pm}8.6$ kg and body mass index was $20.6{\pm}2.7kg/m^2$. Preprandial resting energy expenditure was $0.79{\pm}0.02kcal/min$ and postprandial DIT were $14.05{\pm}0.62%$ for CD, $9.33{\pm}0.62%$ for CED, $11.07{\pm}1.35%$ for PTD as a percentage of the energy load. DIT of CD was significantly higher than those of CED and PTD. There was no significant difference in postprandial change in body temperature after consuming each test diets and the sympathetic nervous system activity measured by heart rate was significantly higher in CD than CED and PTD (p<0.05). With this study, it can be concluded that CED and PTD have significantly lowered in DIT (p<0.05). We didn't show the correlation of the factors that relate in DIT; thus, further experiments on that matter should be followed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2849-2865
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• 2012

In order to block mobile junk messages automatically, many studies on spam filters have applied machine learning algorithms. Most previous research focused only on the accuracy rate of spam filters from the view point of the algorithm used, not on individual user's preferences. In terms of individual taste, the spam filters implemented on a mobile device have the advantage over spam filters on a network node, because it deals with only incoming messages on the users' phone and generates no additional traffic during the filtering process. However, a spam filter on a mobile phone has to consider the consumption of resources, because energy, memory and computing ability are limited. Moreover, as time passes an increasing number of feature words are likely to exhaust mobile resources. In this paper we propose a spam filter model distributed between a users' computer and smart phone. We expect the model to follow personal decision boundaries and use the uniform resources of smart phones. An authorized user's computer takes on the more complex and time consuming jobs, such as feature selection and training, while the smart phone performs only the minimum amount of work for filtering and utilizes the results of the information calculated on the desktop. Our experiments show that the accuracy of our method is more than 95% with Na$\ddot{i}$ve Bayes and Support Vector Machine, and our model that uses uniform memory does not affect other applications that run on the smart phone.

• YAKHAK HOEJI
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• v.38 no.2
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• pp.114-122
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• 1994

A study on the absorption mechanism of cefixime(CF), an oral ${\alpha}-amino$ group deficient cephalosporin antibiotic, has been undertaken through the rat jejunum and nasal cavity using an in situ simultaneous perfusion technique developed in our laboratory. CF was well absorbed in the jejunum and nasal cavity of rats at pH 5.0, but not at pH 7.0. CF absorption was studied over four orders of magnitude in concentration to determine saturability. Disappearance of CF in the perfusate followed first-order kinetics at all tested concentrations. The apparent first-order absorption rate constant was found to be dependent on the concentration over the range of $0.1\;mM{\sim}3\;mM$ in the jejunum and nasal cavity of rats. Inhibitors were added to determine the competitive inhibition of CF absorption. The presence of L-tyrosine, L-phenylalanine, alanine-alanine, glycine-glycine and cefadroxil produced the significant inhibition of CF absorption in the nasal cavity and jejunum. However, there was no evidence of the inhibition in the presence of cefazolin. In addition, The CF absorption in the nasal cavity and jejunum was inhibited significantly by ouabain and 2,4-dinitrophenol(DNP). This study suggested that CF is absorbed across the rat nasal cavity and jejunum by carrier-mediated transport mechanism and energy consuming system.

• International journal of steel structures
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• v.18 no.5
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• pp.1541-1559
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• 2018

This paper addresses the dynamic loading characteristics of the shock tube onto sandwich steel beams as an efficient and accurate alternative to time consuming and complicated fluid structure interaction using finite element modeling. The corrugated sandwich steel beam consists of top and bottom flat substrates of steel 1018 and corrugated cores of steel 1008. The corrugated core layers are arranged with non-uniform thicknesses thus making sandwich beam graded. This sandwich beam is analogous to a steel beam with web and flanges. Substrates correspond to flanges and cores to web. The stress-strain relations of steel 1018 at high strain rates are measured using the split-Hopkinson pressure. Both carbon steels are assumed to follow bilinear strain hardening and strain rate-dependence. The present finite element modeling procedure with an improved dynamic impulse loading assumption is validated with a set of shock tube experiments, and it provides excellent correlation based on Russell error estimation with the test results. Four corrugated graded steel core arrangements are taken into account for core design parameters in order to maximize mitigation of blast load effects onto the structure. In addition, numerical study of four corrugated steel core placed in a reverse order is done using the validated finite element model. The dynamic behavior of the reversed steel core arrangement is compared with the normal core arrangement for deflections, contact force between support and specimen and plastic energy absorption.

• Journal of KIISE:Information Networking
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• v.35 no.1
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• pp.1-10
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• 2008

Once the sensor node in wireless sensor networks is installed, it usually operates without human intervention for a long time. The remote code update scheme is required because it is difficult to recall the sensor node in many situations. Therefore, studies on the reliable and efficient transport protocol for code propagation in wireless sensor networks have been increasingly done. However, by considering only the stability aspect of transmission, most of previous works ignore the consideration on the fast code propagation. This results the energy inefficiency by consuming unnecessary energy due to the slow code propagation. In this paper, in order to overcome limitation of the previous code propagation protocols, we propose a new code propagation protocol called "FCPP(Fast Code Propagation Protocol)". The FCPP aims at improving the reliability at well as performance. For this purpose, the FCPP accomplishes the fast code propagation by using the RTT-based transmission rate control and NACK suppression scheme, which provides a better the network utilization and avoids a unnecessary transmission delay. Based on the ns-2 simulation result, we prove that the FCPP Improves significantly both reliability and performance.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.667-674
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• 2007

Facial expressions provide significant clues about one's emotional state; however, it always has been a great challenge for machine to recognize facial expressions effectively and reliably. In this paper, we report a method of feature-based adaptive motion energy analysis for recognizing facial expression. Our method optimizes the information gain heuristics of ID3 tree and introduces new approaches on (1) facial feature representation, (2) facial feature extraction, and (3) facial feature classification. We use minimal reasonable facial features, suggested by the information gain heuristics of ID3 tree, to represent the geometric face model. For the feature extraction, our method proceeds as follows. Features are first detected and then carefully "selected." Feature "selection" is finding the features with high variability for differentiating features with high variability from the ones with low variability, to effectively estimate the feature's motion pattern. For each facial feature, motion analysis is performed adaptively. That is, each facial feature's motion pattern (from the neutral face to the expressed face) is estimated based on its variability. After the feature extraction is done, the facial expression is classified using the ID3 tree (which is built from the 1728 possible facial expressions) and the test images from the JAFFE database. The proposed method excels and overcomes the problems aroused by previous methods. First of all, it is simple but effective. Our method effectively and reliably estimates the expressive facial features by differentiating features with high variability from the ones with low variability. Second, it is fast by avoiding complicated or time-consuming computations. Rather, it exploits few selected expressive features' motion energy values (acquired from intensity-based threshold). Lastly, our method gives reliable recognition rates with overall recognition rate of 77%. The effectiveness of the proposed method will be demonstrated from the experimental results.