• Tribology and Lubricants
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• v.21 no.6
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• pp.263-267
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• 2005

The tribological performance of multi-walled carbon nanotubes (MWNT) in mineral oils is investigated at ambient temperature. The frictional forces, wear amounts and cycles to scuffing of the oils with nanotubes and without those were measured using the ball-on-disk tester. It was found that there were little differences in the frictional forces and wear amounts of two oils. However, the scuffing times of oils with nanotubes were much longer than those of oils without nanotubes in sliding tests. The nanotubes were very effective on maintaining the oil gap and protecting the surfaces in boundary lubricated sliding.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.225-228
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• 2007

This paper presents a geostatistical methodology to model local uncertainty in spatial estimation of sediment grain size with high-resolution remote sensing imagery. Within a multi-Gaussian framework, the IKONOS imagery is used as local means both to estimate the grain size values and to model local uncertainty at unsample locations. A conditional cumulative distribution function (ccdf) at any locations is defined by mean and variance values which can be estimated by multi-Gaussian kriging with local means. Two ccdf statistics including condition variance and interquartile range are used here as measures of local uncertainty and are compared through a cross validation analysis. In addition to local uncertainty measures, the probabilities of not exceeding or exceeding any grain size value at any locations are retrieved and mapped from the local ccdf models. A case study of Baramarae beach, Korea is carried out to illustrate the potential of geostatistical uncertainty modeling.

• Tribology and Lubricants
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• v.28 no.2
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• pp.81-92
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• 2012

To product multi-grade oil like engine oil, a sort of mineral base oil is mixed with a fundamental additive liquid package and a polymer liquid as viscosity index improver in order to improve the lubricating property of oil. That is, engine oil is the mixture of more than two fluids. In this paper, it will be systematically organized the governing equation describing non-Newtonian thermo-hydrodynamic lubrication related with the mixture of incompressible fluids based on the principle of continuum mechanics. Then, in order to find how the thermal analysis effect on the bearing performance lubricated with the mixture of multi-fluids, it will be compared to the performances between the mixture of each liquid to be blended and multi-grade engine oil as a single fluid in a high speed journal bearing. It is found that, in the case of lower viscosity oil, the difference of pressure distribution between the above two cases turns out to be existed, even if the load capacity is same level.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.719-722
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• 2003

This paper presents the development of reservoir characterization model equipped with parallelized genetic algorithm, and its application for a heterogeneous reservoir system with integration of the well data and multi-phase production data. A parallel processing method performed by PC-cluster was applied to the developed model in order to reduce time for an inverse calculation. By utilizing the developed model, we performed the inverse calculation with the production data obtained from three layered reservoir system to estimate porosity and permeability distribution. As a result, the pressures observed at well almost identical to those calculated by the developed model. Also, it was confirmed that parallel processing could be applied for reservoir characterization study efficiently.

• International Commerce and Information Review
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• v.12 no.4
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• pp.363-382
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• 2010

It should be unthinkable to not provide water at survival of any living things. Water is too a basic element for development for a country. Currently, the global market of mineral water is growing rapidly. This study, I conceptualized mineral water as bottled water. In particularly, bottled water has seen huge global growth for the last few years. The annual growth rate of the market in the period 2005-2009 was 5.9%. Following a surge in obesity and subsequent health and wellness trends, many consumers are switching from sugary soft drinks to healthier alternatives. Therefore, the global bottled water market is one area which has big potential for growth, but price competition is getting intensified among multi-national and domestic firms. Korean providers too are faced with strong competition in growing domestic market. The bottled water market has presence of multinational provider like Nestle, Danone and Coca-Cola, which collectively account for 35.1% of the world market share in 2009. On the basis of a market orientation approach, this article looks at changing environments in the world mineral water industry and attempts to describe foreign market entry strategy of the Korean mineral water industry. The market orientation provides strong norms for learning from customers and competitors, is instrumental in creating a superior value for buyers, innovating successfully, and generating excellent firm performance. So firms should consider a strategic planning in basis on market orientation before they enter foreign markets. Some discussions were made about managerial implications for Korean bottled water providers.

• Journal of Nutrition and Health
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• v.33 no.3
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• pp.332-342
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• 2000

Vitamin mineral supplement usage by self-prescription is popular behavior among adolescents. This study was conducted to investigate the behaviors of vitamin·mineral supplement usage and the relationship between demographic variables and supplement usage by healthy adolescents. Nine hundred seventy two boys and girls, aged 13-18 years, attending general middle or high schools were chosen from various cities and rural communities in Korea. As a result, vitamin·]mineral supplements were taken by 31.3% of subjects. Users tended to take vitamin·mineral supplements more frequently when they were healthy than when they suffered from disease. The taking period of supplements was different according to school type such as middle or high school(p<.05), sex(p<.001) and residence of subjects(p<.01). The main information source of supplements was newspaper/magazine/TV, and it was affected by sex(p<.05) and residence(p<.01). Vitamin·mineral supplements were generally recommended by their mothers instead of health professionals. The commonly cited taking reason of supplements was affected by sex(p<.01)and socioeconomic status of family(p<.05). The frequently responded effect obtained from supplement use was recovery from fatigue and it was different according to sex(p<.01). The major mentioned reason of not taking vitamin·mineral supplements by non-users was 'I eat a balanced diet'. The most frequently consumed supplements were vitamin C, followed by multi-vitamins supplements, and this pattern was different according to school type(p<.001), sex(p<.01) and residence(p<.05). These findings show that the behaviors of vitamin·mineral supplement usage by subjects are not resonable, and their supplement usage tends to be affected by demographic variables. Therefore, nutritional understanding and education that are intended to form the resonable behaviors toward vitamin·mineral supplement usage of adolescents should be provided with considering the relationship between demographic variables and supplement usage.

• Journal of the Korean Society of Radiology
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• v.5 no.1
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• pp.27-35
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• 2011

The purpose of this study is to examine factors that affect the bone mineral density of pre-menopause women by using the dual energy x-ray absorptionmetry, ultimately contributing to preventing women's osteoporosis that tends to be aggravated since menopause. Out of the subjects, 20.2% were suffering osteopenia. Age was found most important in estimating the level of bone mineral density. Meanwhile, the older women were, the significantly lower their bone mineral density was. It was found that taking exercise has a more positive effect on boss mineral density than not taking. Exercising in a suitable amount was helping women keep their bone mineral density better. Preferring meat to vegetarian diets were significantly affecting women's bone mineral density. Meanwhile, it was found that the shorter menstrual cycle is, the significantly lower bone mineral density is. A multi=regression analysis of bone mineral density and its related factors showed that the older women were, the significantly lower their bone mineral density was. In other words, age was found as the most risk factor of osteoporosis.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.382-387
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• 2002

In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.283-285
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• 2005

To account for the importance of variable in multi-sensor data fusion, random forests are applied to supervised land-cover classification. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. Its distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Supervised classification with a multi-sensor remote sensing data set including optical and polarimetric SAR data was carried out to illustrate the applicability of random forests. From the experimental result, the random forests approach could extract important variables or bands for land-cover discrimination and showed good performance, as compared with other non-parametric data fusion algorithms.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.233-235
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• 2005

This paper presents an unsupervised change detection methodology designed for the detection of landslide areas. The proposed methodology consists of two analytical steps: one for multi-temporal segmentation and the other for automatic selection of thresholding values. By considering the conditions of landslide occurrences and the spectral behavior of multi-temporal remote sensing images, some specific procedures are included in the analytical steps mentioned above. The effectiveness and applicability of the methodology proposed here were illustrated by a case study of the Gangneung area, Korea. The case study demonstrated that the proposed methodology could detect about $83\%$ of landslide occurrences.