• The Korean Journal of Community Living Science
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• v.25 no.3
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• pp.349-361
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• 2014

This study was examined the general trends in social activity participation, the flow degree, and the psychological well-being of middle-aged women in Korea and explored how psychological well-being varies according to various sociodemographic variables, social activity participation, and the flow degree. This study provided practical insights into how the psychological well-being of middle-aged women can be enhanced. Data were gathered from 302 middle-aged women between the ages of 40 and 60 by using a structural questionnaire. The statistical methods included a descriptive analysis, a t-test, and a regression analysis using SPSS WIN 18.0. According to the results of the hierarchical regression analysis, the key variables influencing the psychological well-being of middle-aged women included the flow degree in terms of social activity participation and the education level. These variables explained 30% of the psychological well-being of middle-aged women. The higher the education level and the flow degree, the stronger the psychological well-being was. Social activity participation and the flow degree had greater effects on psychological well-being than sociodemographic characteristics. In particular, an increase in the flow of social activities increased psychological well-being. This suggests a need to improve the psychological well-being of middle-aged women by providing them with an environment where they can play social roles. One way to accomplish this is by linking retraining and life-long education-related activities to employment or volunteer activities. This study demonstrates the importance of the flow degree for the psychological well-being of middle-aged women. The results have important policy and theoretical implications.

• Education of Primary School Mathematics
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• v.1 no.2
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• pp.85-95
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• 1997

Recently, by the popularization of computers and the development of many kinds of information transmission software, the living pattern in business offices and in home-life have changed rapidly. Because of the great progression of today's science technology, the influence of social education on the children is larger than that of the traditional school.. By a rapid change in the social atmosphere, there are some people who insist the traditional school education system is of no use any more. There have been many calls for reform of traditional schooling and in particular there has been major rethinking of school mathematics. The initial demand for change in elementary school mathematics is because of the poor achievement of students. There are even more compelling reasons for change. For example today's science technology society requires a different mathematical literacy for its citizens than that of the past. The importance of problem-solving based on interest and progress is more important than just paper-pencil computation in elementary schools. And also the increasing information wave of today's society demands that the school accept the long-distance education which could not be imagined in the past. Taking account of this variety, school education in the future should willingly introduce and apply the open education system to keep pace with today's society. To accept society demands actively, today's schools are going to accept and apply the idea of the open education. In this viewpoint, the purpose of the paper is to analyze the causes of under-achievement in mathematics teaming, the directions of school mathematics education, the system of textbooks and the problems of teaching-learning programs and paper-pencil test.

• Korean journal of food and cookery science
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• v.27 no.1
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• pp.75-84
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• 2011

The aim of this study was to develop a convenient brown sauce product with long shelf life that has similar taste and quality characteristics with sauce used in restaurants. Response surface analysis was carried out to optimize brown sauce. Extracted brown sauce powder was subjected to hot air drying, infrared drying, freeze drying, and spray drying to determine the appropriate drying method for brown sauce manufacturing. The optimum extraction conditions were set by superimposing and reading each reaction surface that satisfied all of the sensory characteristics such as color, smell, taste, concentration, and overall preference level in order to set the optimum conditions for brown sauce production. The optimum extraction conditions for brown sauce were determined to be heating time 30 min, gelatin addition quantity 9.00%, and tomato paste addition quantity 11.25%. Reliability test showed a similar value to the predicted scope when compared to the experimental value obtained under the same conditions as the predicted value according to RSM (response surface methodology), enabling verification of the derived regression formula. Product powder of ideal brown sauce by heating, infrared radiation, freezing, and spray drying and investigate result for functional tests of color, flavor, taste, viscosity, overall acceptability and show highly acceptability on powder by infrared rays and freeze-drying methods. Especially, infrared radiation method resulted in favorable color and flavor values while freeze-drying method produced good taste and viscosity values and high overall acceptability. Therefore, infrared radiation drying method and freeze-drying method to product powder.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.101-109
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• 2014

Medical technology development and increase the income level of a "Long and healthy Life=Wellness," with the growing interest in actively promoting and maintaining health and wellness has become enlarged. In addition, the demand for personalized health care services is growing and extensive medical moves of big data, disease prevention, too. In this paper, the main interest in the market, highlighting wellness in order to support big data-driven healthcare quality through patient-centered medical services purposes. Patients with drug dependence treatment is not to diet but to improve disease prevention and treatment based on analysis of big data. Analysing your Tweets-daily information and wellness disease prevention and treatment, based on the purpose of the dictionary. Efficient big data analysis for node while increasing processing time experiment. Test result case of total access time efficient 26% of one node to three nodes and case of data storage is 63%, case of data aggregate is 18% efficient of one node to three nodes.

• Journal of Families and Better Life
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• v.29 no.2
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• pp.51-62
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• 2011

Financial consumers can invest their financial assets directly or indirectly. This investment type have effect on their financial well-being and may be influenced by their financial characteristics and investment attitude. The purposes of the study were to classify the consumers by direct and indirect investment behavior of their financial assets and to investigate their socio-economic characteristics and investment attitudes to give implications for financial counseling and education. The data came from the 2009 Fund Investors Survey which was conducted by Korea Investors Protection Foundation. Total 2,530 consumers were analyzed using frequency, CROSSTAB, ANOVA and Duncan's multiple range test. In general, consumer tended to be rational in choosing the investment type. Noninvestors consisted of 38.5% of the sample. The economic level was the lowest for the noninvestors. The consumers who invest both indirectly and directly consisted of 21.0% and their economic level was the highest. Their investment tendency was between direct and indirect investors'. The proportion of direct investors ws 12.1% and that of indirect investors was 28.4%. Although the economic levels of indirect investors and direct investors were not statistically different, there were differences in their demographics and investment attitudes. The proportions of those aged 30-39, female and nonmarried were greater for indirect investors. They had the tendency to invest safely and diversely for a long term with reserve money. On the other hand, direct investors tended to be male, married and aged 40-49. They tended to invest intensively for a shorter term and seek returns even with borrowing money.

• Structural Monitoring and Maintenance
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• v.1 no.3
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• pp.249-271
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• 2014

This paper presents a unique study of Structural Health Monitoring (SHM) for the maintenance decision making about a real life movable bridge. The mechanical components of movable bridges are maintained on a scheduled basis. However, it is desired to have a condition-based maintenance by taking advantage of SHM. The main objective is to track the operation of a gearbox and a rack-pinion/open gear assembly, which are critical parts of bascule type movable bridges. Maintenance needs that may lead to major damage to these components needs to be identified and diagnosed timely since an early detection of faults may help avoid unexpected bridge closures or costly repairs. The fault prediction of the gearbox and rack-pinion/open gear is carried out using two types of Artificial Neural Networks (ANNs): 1) Multi-Layer Perceptron Neural Networks (MLP-NNs) and 2) Fuzzy Neural Networks (FNNs). Monitoring data is collected during regular opening and closing of the bridge as well as during artificially induced reversible damage conditions. Several statistical parameters are extracted from the time-domain vibration signals as characteristic features to be fed to the ANNs for constructing the MLP-NNs and FNNs independently. The required training and testing sets are obtained by processing the acceleration data for both damaged and undamaged condition of the aforementioned mechanical components. The performances of the developed ANNs are first evaluated using unseen test sets. Second, the selected networks are used for long-term condition evaluation of the rack-pinion/open gear of the movable bridge. It is shown that the vibration monitoring data with selected statistical parameters and particular network architectures give successful results to predict the undamaged and damaged condition of the bridge. It is also observed that the MLP-NNs performed better than the FNNs in the presented case. The successful results indicate that ANNs are promising tools for maintenance monitoring of movable bridge components and it is also shown that the ANN results can be employed in simple approach for day-to-day operation and maintenance of movable bridges.

• Journal of Wetlands Research
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• v.13 no.1
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• pp.129-137
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• 2011

The aim of this study is to evaluate the biodegradability of the micro-contaminant, clindamycin antibiotic, under nitrifying activated sludge (AS) condition. Based on the short-term clindamycin degradation batch test at an environmentally relevant concentration (10 ppb), clindamycin disappearance half-life ($t_{0.5}$) was estimated to be 9.1hrs under nitrification condition. However, biodegradation was slower (26.1 hrs) when nitrification was inhibited. Also, one clindamycin metabolite was detected under nitrification condition, but not under inhibited nitrification condition. Based on the mass spectra, the metabolite is suspected to be clindamycin-sulfoxide (m/z 441), which is known to have antimicrobial activity. The metabolite was not degraded during the long term batch study, suggesting that under the conditions tested, biodegradation of clindamycin in activated sludge systems is ineffective.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.5 no.2
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• pp.31-37
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• 1999

To enhance antibiotic function of plastic containers, many methods have been applied. Most of the methods utilize antibiotic properties of antibiotic substances such as silver containing chemicals. Sometimes antibiotic substances are used without long term stability test as food container additives. Basically, this kind of methods is not safe since it is based on the antibiotic properties of the material itself and hence direct contact between food and container additives is unavoidable to obtain antibiotic effect. In this paper, a new concept of information templation was applied to make food containers with antibiotic function. It has been known recently that water memorize informations and this information could be tempelated to other materials through appropriate methods. One of the participating company developed this method to template informations onto plastic materials. Food containers were produced using this plastic chips and experimental results showed that antibiotic functional information temptation method is effective for practical application. Results and discussions are reported in this paper.

• Journal of Korean Society of Steel Construction
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• v.15 no.5 s.66
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• pp.489-497
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• 2003

Bridge has to be long-spanned and of simple structure, considering the social environment. As a result of this trend in bridge construction, it is important for the sake of economical efficiency to improve the structural system and increase the life cycle of a bridge. To attain these goals in constructing a steel bridge, the detail analyses based on real structure must be performed. In the steel structure bridge, the parts that are a main focus of interest are the diaphragm and the vertical bracing of the steel box girder support. This study observed the behavior of the diaphragms on the bearings of a closed section steel box girder bridge support, as dead load was increased. Stress variation of the support diaphragms in a steel box girder was considered, and both experimental test and structural analyses were performed to verify the behavior of a composite steel box girder bridge under repair or maintenance.

• Applied Chemistry for Engineering
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• v.10 no.6
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• pp.814-821
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• 1999

The specific capacitance characteristics of the electric double layer capacitors(ELDC) which were made of phenol based activated carbon fiber(ACF) electrodes. Also the effect of aqueous electrolytes on the cell performance has been investigated with respect to different specific surface areas of electrodes and different kinds of aqueous electrolytes. It has been shown that larger surface area and pore size, higher conductivity of electrodes, and higher ion mobility of electrolytes have better specific capacitances. It has been found that heat treatment at $1200^{\circ}C$ and $CO_2$ post-activation at $900^{\circ}C$ of the electrode are effective to improve the specific capacitance over 145F/g and 165F/g, respectively. The EDLC showed high efficiency and long cycle life over 30000 cycles.