• Journal of Biomedical Engineering Research
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• v.31 no.2
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• pp.94-98
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• 2010

In magnetic resonance electrical impedance tomography (MREIT), a current-injection MR imaging method is adopted to produce a cross-sectional image of an electrical conductivity distribution in addition to MR images. The purpose of this study was to test the feasibility of MREIT for differentiating the canine lung parenchyma without and with pneumonia. Three normal healthy beagles and two mixed breed dogs with pneumonia were used. After attaching electrodes around the chest, we placed the dog inside our MR scanner. We injected as much as 30 mA current in a form of short pulses into the chest region. Reconstructed conductivity images of normal canine lungs exhibit a peculiar pattern of a relatively coarse salt and pepper noise. On the contrary, conductivity images of pneumonic canine lungs show significantly enhanced contrast of the lesions while the corresponding MR images show a little bit of contrast in the middle and caudal lung parenchyma due to the accumulation of pleural fluid. This preliminary study indicates that MREIT imaging of the chest may deliver unique new diagnostic information.

• Journal of Satellite, Information and Communications
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• v.10 no.4
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• pp.32-38
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• 2015

Next generation military satellite communication systems have been developed for expanding capacity and survivability. As for expanding capacity, the communication systems require efficient techonology to use limited resource. So, next generation communication systems are expected to use MF-TDMA technology. MF-TDMA is the technology which has the advantages of FDMA and TDMA. By using MF-TDMA, communication systems can use limited resource efficiently, and the performance of resource allocation depends on the allocation scheme. In this paper, we propose efficient allocation scheme for next generation military satellite communication systems. Also, we compare and analze performances such as Total Resource Efficient, Reject Ratio, Computational Time, PSD distribution with existing allocation schemes.

• Journal of the Korean Society of Food Culture
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• v.17 no.2
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• pp.111-119
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• 2002

The purpose of this study was to investigate attitude and behavior of eating and purchasing seafood in relation to eating pattern at the household level among Korean housewives. Analysis data from 676 housewives in Korea were collected with self-administered questionnaires. The results were as follows: Seventy-three % of the respondents answered that they liked seafood dishes for their taste, good nutrition and health benefit in order, but 3.2% disliked seafoods because of their bad smell, cooking difficulties and high prices. In comparison with the meat dishes, seafoods were considered superior to meat in nutritional value(49.9%), health aspect(46.4%) and taste(42.4%) but seafood stuffs were evaluated inferior to meat in the aspects of preparation process(43.9%), sanitational problems(40.4%) and higher price(35.2%). The favorite fish cooking methods of housewives turned out to be grilling, stewing, eating as raw fish, braising and frying in order. The 74.7% of respondents evaluated that their family preferred seafood dishes, but 37.2% of the subjects prepared seafood dishes 1-2 times a week followed by 3-4 times a week(24.0%), 2-3 times a month(19.6%), once a month(7.4%) and more than once a day(5.3%). The frequency rate of seafood preparation showed significant differences according to the monthly income of the household(p<0.05), the higher the income, the higher the frequency rate. As for the difficulties in preparing seafood dishes, cumbersome processes before cooking(45.4%), high price(10.4%) and sanitational problems of distribution(9.9%) were indicated showing significant differences among the age groups of the subjects(p<0.01). These findings revealed that younger generation housewife group is the major target in promoting seafood consumption at household level. We suggest to develop convenient sale packages and continuing education programs with information about easy handling and preparation of seafoods for the promotion of home cooking.

• Journal of the Korean Society of Food Culture
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• v.14 no.4
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• pp.333-352
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• 1999

This study investigates the impact of International Monetary Fund(IMF) Age on the household behavior of food consumption and analysis the related factors(demographic variables, family life style) to find out the reasonable consumer's consciousness and food market conditions. The results are as follows. 1. General life style and food life style, considered as family life style, were classified into 7 types and 9 types respectively as family life style by factor analysis. 2. The rationality of using and disposing stage on food life has increased, the rationality of the planning stage on food life has decreased since the IMF age began. But the rationality of overall food consumption has hardly changed. 3. The amount of purchasing was decreased, discount store was favorite place to buy food, and safety and freshness were major determinants in purchasing for most of food items. But this was different with food items. The various information sources were used impartially to buy food, cash was used mainly, and the degree of using the discount ticket/coupon was a little low. 4. Income level is an influential factor on the rationality of the planning and purchasing stage on food life, while environment-oriented food life style has influenced on the rationality of using and disposing stage. The purchasing amount of grain products, meats, milk products, bread and snacks, drinks, alcoholic drinks, water and convenience goods has influenced by demographic variables, eating out had been influenced by general life styles, and fruits, healthy foods, processed foodstuffs, favorite foods, vegetables seaweeds, import foods and seafood had been mainly influenced by food life style since IMF age began.

• Journal of the Korean Institute of Gas
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• v.16 no.4
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• pp.32-37
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• 2012

The aim of this study is to evaluate the characteristics of explosion and flame velocity that can be utilized to factories where Mg-Al alloy metal powders are handled in the form of raw materials, products or by-product for similar dust explosion prevention and mitigation. Because the strength of the blast pressure is the result due to flame propagation, flame velocity in dust explosion can be utilized as a valuable information for damage prediction. An experimental investigation was carried out on the influences of content ratio of Mg-Al alloy (mean particle size distribution of 151 to 161 ${\mu}m$). And a model of flame propagation velocity based on the time to peak pressure and flame arrival time in dust explosion pressure, assuming the constant burning velocity, leads to a representation of flame velocity during dust explosion. As the results, the maximum flame velocity of Mg-Al(60:40 wt%), Mg-Al(50:50 wt%) and Mg-Al(40:60 wt%) was estimated 15.5, 18 and 15.2 m/s respectively, and also tend to change with content ratio of Mg-Al.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.2
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• pp.209-217
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• 2011

This study incorporate hydroacoustic sampling for bathymetry and sediment survey in Won Cheon reservoir, Suwon city, Korea. Bathymetric and sedimentation surveys were conducted using a echo sounder system and subbottom profiler in the reservoirs. Data were collected using echo sounder systems and subbottom profiler linked to a GPS, to maximize data accuracy and vessel use, and geo-referenced using a DGPS enabling the acoustic data to be used in a GIS. Echo sounder and subbottom survey data were merged within geographic information system(GIS) software to provide detailed visualization and analyses of current depths, pre-impoundment topography, distribution, thickness, and volume estimates of lacustrine sediment, and water storage capacity. These data and analyses are, necessary for development of long term management plans for these reservoirs and their watersheds.

• Korean Journal of Food Science and Technology
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• v.39 no.3
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• pp.231-236
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• 2007

The isoflavone distributions of soy samples treated with soaking, oven-drying, and almond additions were determined by high performance liquid chromatography (HPLC). Oven-drying was performed to increase the amount of ${\beta}-glucoside$ isoflavones, and almonds were added to convert the ${\beta}-glucosides$ into their corresponding aglycones. Oven-drying at $100^{\circ}C$ for 4 hr significantly increased ${\beta}-glucoside$ levels and decreased $malonyl-{\beta}-glucosides$, while almond additions of 2.5% and 5.0% (w/w) significantly increased aglycone contents (p<0.05) for samples with 12 hr of drying. The rate of increase for genistein from genistin was faster than that of daidzein from daidzin with almond additions. The ${\beta}-glucosidase$ activity in the 5.0% added almond soybean samples was significantly higher than in the samples without added almond (p<0.05). The aglycone content increased from 1.62% in the raw soybeans to 61.55% in the 2.5% added almond soybean samples for 12 hr of incubation. The information from this study could be used to increase the isoflavone aglycone contents of soybeans by using natural products such as almonds, without organic solvent additions or microorganism fermentation.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.8
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• pp.372-377
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• 2008

Multiclass cancer classification has been actively investigated based on gene expression profiles, where it determines the type of cancer by analyzing the large amount of gene expression data collected by the DNA microarray technology. Since gene expression data include many genes not related to a target cancer, it is required to select informative genes in order to obtain highly accurate classification. Conventional rank-based gene selection methods often use ideal marker genes basically devised for binary classification, so it is difficult to directly apply them to multiclass classification. In this paper, we propose a novel method for multiclass gene selection, which does not use ideal marker genes but directly analyzes the distribution of gene expression. It measures the class-discriminability by discretizing gene expression levels into several regions and analyzing the frequency of training samples for each region, and then classifies samples by using the naive Bayes classifier. We have demonstrated the usefulness of the proposed method for various representative benchmark datasets of multiclass cancer classification.

• KIISE Transactions on Computing Practices
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• v.23 no.9
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• pp.557-563
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• 2017

When large-scale gene expression data are analyzed using lasso regression, the estimation of regression coefficients may be unstable due to the highly correlated expression values between associated genes. This irregularity, in which the coefficients are reduced by L1 regularization, causes difficulty in variable selection. To address this problem, we propose a regression model which exploits the repetitive bootstrapping of gene expression values prior to lasso regression. The genes selected with high frequency were used to build each regression model. Our experimental results show that several genes were consistently selected in all regression models and we verified that these genes were not false positives. We also identified that the sign distribution of the regression coefficients of the selected genes from each model was correlated to the real dependent variables.

• Atmosphere
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• v.15 no.3
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• pp.149-153
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• 2005

A balloon-borne Optical Particle Counter (hereafter "OPC Sonde"), which was developed by the atmospheric research group of Nagoya University, is used for getting the information of vertical profile of particle size and concentration in Anmyeon ($36^{\circ}32^{\prime}N$ $126^{\circ}19^{\prime}E$) on 18 March 2005. A range of five different particle sizes is shown in the vertical profile of aerosol number density estimated from the OPC Sonde. It was found that small size particles have vertically larger aerosol number density than relatively big ones. For all size ranges the vertical aerosol number density shows a decreased pattern as the altitude becomes higher. The aerosol number density of $0.3{\sim}0.5{\mu}m$, $0.5{\sim}0.8{\mu}m$, $0.8{\sim}1.2{\mu}m$ size ranges at the 10km height, which is the tropopause approximately, are $1,000,000ea/m^3$, $100,000ea/m^3$, $10,000ea/m^3$ respectively. The data of OPC Sonde are also compared with the data of PM10 $\beta$-ray) and Micro Pulse Lidar which are operating at Korea Global Atmosphere Watch Observatory in Anmyeon.