• Korean Journal of Health Education and Promotion
• /
• v.24 no.2
• /
• pp.77-91
• /
• 2007

Purpose: The purpose of this study was to investigate the relationship among health behavior, obesity and QOL, and to identify factors affecting QOL of University Students in rural area, to provide the basic data for health promoting program in order to improve the QOL. Methods: The subjects of this study were 991 university students. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficient and Stepwise multiple regression with SAS. Results: In the degree of the obesity were 13.4% of the underweight group, 48.9% of the normal weight group, and 37.6% of the overweight group. The average item score for the QOL was 3.19; the highest score on the subscale was physical domains(M=3.25) with the lowest environmental domains. In the degree of health behavior performance were 15.3% of regular health check, 27.5% of exercise, 45.1% of no-smoking, 32.4% of no-drinking alcohol, 53.1% of sleeping 7-hour, 49.7% of weight care, 56.1% of stress management, and 44.4% of breakfast. The score of QOL was statistically significant difference according to age, occupation of father, the number of brothers, total income, level of life, perceived health status, and admission of hospital. The score of QOL correlated positively with health behavior(r=.2521, p<.0001), and the scores of health behavior correlated positively with obesity(r=.0915, p=.0039). Stepwise multiple regression analysis for QOL revealed that the most powerful predictor was level of life. Stress management, perceived health status, sleeping 7-hour, regular health check, admission of hospital, total income, and weight care explained 13.2% of the variance. Conclusions: Therefore, it is necessary to develop health behavior promotion program in order to enhance the quality of life of university students. Future studies need to be pursued to find significant influencing factors for QOL of university students.

• Journal of Radiation Protection and Research
• /
• v.22 no.4
• /
• pp.263-272
• /
• 1997

A Radiation Alarm Monitor has been developed and manufactured in order to protect radiation workers from over-exposure. A visual and audible alarm system has been attached to initiate evacuation when accident occurs such as an unexpected change of radiation level or an over-exposure. The Radiation Alarm Monitor installed with microprocessor can record the information of radiation field change between 90 min. before the alarm and 30 min. after the alarm and also provide the data to an IBM compatible computer to analyze the accidents and to set a counterplan. It features a wide detection range of radiation field(10 mR/h-100 R/h), radiation field data storage, portability, high precision (${\pm}5%$) due to self-calibration function, and adaption of a powerful alarm system. According to ANSI N42.17A, the most stringent test standards, performance tests were carried out under various conditions of temperature, humidity, vibration, and electromagnetic wave hindrance at Korea Research Institute of Standards & Science (KRISS). As a result, the Radiation Alarm Monitor passed all tests.

• Korean Journal of Social Welfare
• /
• v.62 no.1
• /
• pp.185-209
• /
• 2010

This study aims to investigate the effect of husbands' emotional abuse on wives' depression and mediating effects of marital adjustment and coping. The subject of this study is wives of men who had completed batterer intervention programs at domestic violence counselling centers. In order to investigate the effect of emotional abuse, among the 116 questionnaires collected by wives the cases in which physical violence was reported were excluded. Ultimately, a total of 77 cases were analyzed using the Partial Least Square method of structural equation model methodology. The key findings from this study are as follows. First, the wives in this study showed a high rate of exposure to emotional abuse by their husbands although the physical violence was gone. Second, emotional abuse by husbands significantly affected depression on their wives. Third, marital adjustment was found to have a mediating effect on the relationship between the emotional abuse and the depression. Fourth, a mediating effect from passive coping was revealed; in particular, avoiding was the most powerful factor explaining the relationship between the emotional abuse and the depression. However, active coping failed to mediate the relationship between the emotional abuse and the depression.

• Korean journal of communication and information
• /
• v.66
• /
• pp.273-297
• /
• 2014

This paper conducted a survey targeting online Korean drama viewers in Vietnam and Philippines, to investigate the relationships between viewing motivations of Korean drama, general attitude toward Korean drama, and Korea's national image. Factor analyses found six viewing motivations of Korean drama, and the most powerful viewing motivation of Korean drama were entertainment/relaxation(Vietnam) and longing for actor(actress)(Philippines), respectively. In addition, two path analyses showed that viewing motivations had a significant influence on general attitude toward Korean drama. Longing for actor(actress) and entertainment/relaxation motivations were critical factors in both countries' paths, but habit motivation was negatively related to general attitude toward Korean drama. In case of Korea's national image, the results showed that the more positive general attitude toward Korean drama, the more positive images of national image. Conclusions, implications, and limitations were also discussed.

• Journal of KIISE:Software and Applications
• /
• v.32 no.6
• /
• pp.461-472
• /
• 2005

In this paper, we design and implement a graphical bio-ontology management system based on OWL(Web Ontology Language). It allows domain experts to easily manage sophisticated bio-ontologies in which biological knowledge is encoded. The knowledge can be seamlessly modeled into the ontology by well defined graphical notations, which capture most of subtle semantics inherently existing between biological terms. Our system provides a new construction mechanism, which can determine a considerable part of relationships between terms by their inheritance and inverse-inheritance. For keeping their semantics to be consistent, the mechanism supplies domain experts with information available from relationships being constructed or already constructed. The constructed ontology is basically formatted by OWL, which may benefit from its powerful semantic expressiveness. Additionally, it can be automatically translated into other standard languages without semantic loss, such as RDF/RDFS, DAML+OIL and so on. The main characteristics of our system is that it enables domain experts to delicately model the bio-ontology by the visualized construction mechanisms adopting well-defined graphical notations based on OWL.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.4
• /
• pp.169-175
• /
• 2008

The existing block encryption algorithms have been designed for the encryption key value to be unchanged and applied to the round functions of each block. and enciphered. Therefore, it has such a weak point that the plaintext or encryption key could be easily exposed by differential cryptanalysis or linear cryptanalysis, both are the most powerful methods for decoding block encryption of a round repeating structure. Dynamic cipher has the property that the key-size, the number of round, and the plaintext-size are scalable simultaneously. Dynamic network is the unique network satisfying these characteristics among the networks for symmetric block ciphers. We analyze the strength of Dynamic network for meet-in-the-middle attack, linear cryptanalysis, and differential cryptanalysis. Also, In this paper we propose a new network called Dynamic network for symmetric block ciphers.

• Journal of the Society of Naval Architects of Korea
• /
• v.52 no.1
• /
• pp.88-95
• /
• 2015

For the frequency-domain spectral fatigue analysis, the probability density function of stress range needs to be estimated based on the stress spectrum only, which is a frequency domain representation of the response. The probability distribution of the stress range of the narrow-band spectrum is known to follow the Rayleigh distribution, however the PDF of wide-band spectrum is difficult to define with clarity due to the complicated fluctuation pattern of spectrum. In this paper, efforts have been made to figure out the links between the probability density function of stress range to the structural response of wide-band Gaussian random process. An artificial neural network scheme, known as one of the most powerful system identification methods, was used to identify the multivariate functional relationship between the idealized wide-band spectrums and resulting probability density functions. To achieve this, the spectrums were idealized as a superposition of two triangles with arbitrary location, height and width, targeting to comprise wide-band spectrum, and the probability density functions were represented by the linear combination of equally spaced Gaussian basis functions. To train the network under supervision, varieties of different wide-band spectrums were assumed and the converged probability density function of the stress range was derived using the rainflow counting method and all these data sets were fed into the three layer perceptron model. This nonlinear least square problem was solved using Levenberg-Marquardt algorithm with regularization term included. It was proven that the network trained using the given data set could reproduce the probability density function of arbitrary wide-band spectrum of two triangles with great success.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2013.02a
• /
• pp.525-525
• /
• 2013

Low temperature plasma diagnosis is one of the big issues in laboratory scale or processing industry. One of the most powerful techniques of plasma diagnostics is the use of the scattering of electromagnetic radiation from the plasma. Electron temperature and density are important parameters for understanding the information of plasmas in the plasma processing industry. Laser scattering experiments on plasma can provide a substantial amount of information about plasma parameters such as the electron density ne, the electron temperature Te, and the neutral density nn and temperature Tn. Thomson scattering spectroscopy is used several method, in accordance with detector type. Commonly, Thomson scattering is used several notch filter to separate expanded wavelength. Since using a spectrometer with surface relief grating or notch filter, the system of the measurement will be complicated and bigger. In this study, using VPHG (Volume Phase Holographic Grating) in order to install the simple and cheap system. VPHG has the advantage of the system installation, because it can be Transmission Type. The diffraction efficiency and dispersion angle of VPHG is higher than the surface relief grating relatively. For a wavelength and bandwidth selection, Using a slit or mask to select a rejection wavelength instead of notch filter.

• Journal of Microbiology
• /
• v.44 no.3
• /
• pp.293-300
• /
• 2006

The Escherichia coli heat-labile enterotoxin B subunit (HLT-B) is one of the most powerful mucosal immunogens and known mucosal adjuvants. However, the induction of high levels of HLT-B expression in E. coli has proven a difficult proposition. Therefore, in this study, the HLT-B gene was cloned from pathogenic E. coli and expressed as a fusion protein with GST (glutathion S-transferase) in E. coli BL2l (DE3), in an attempt to harvest a large quantity of soluble HLT-B. The culture conditions, including the culture media used, temperature, pH and the presence of lactose as an inducer, were all optimized in order to obtain an increase in the expression of soluble GST-rHLT-B. The biological activity of the purified rHLT-B was assayed in a series of GMI-ELISA experiments. The findings of these trials indicated that the yield of soluble recombinant GST-rHLT-B could be increased by up to 3-fold, as compared with that seen prior to the optimization, and that lactose was a more efficient alternative inducer than IPTG. The production of rHLT-B, at 92 % purity, reached an optimal level of 96 mg/l in a 3.7 L fermentor. The specific GM1 binding ability of the purified rHLT-B was determined to be almost identical to that of standard CTB.

• Journal of Korean Society for Geospatial Information Science
• /
• v.11 no.2 s.25
• /
• pp.47-52
• /
• 2003

Change detection and analysis is a powerful application of remote sensing, in that the spectral resolution of multi-band sensors can be used to advantage in monitoring both significant and subtle land cover changes over time. In this study, the LANDSAT TM data was used to detect the change areas affected by flood from a heavy rainfall. The study area is the Nakdong River located in the Korea peninsular. Among the several change detection techniques, change vector analysis(CVA), principle component analysis(PCA) and image difference approach are utilized in this paper. CVA uses any number of spectral bands from multi-date satellite data to produce change image that yield information of the magnitude and direction of differences pixel values. And accuracy assessment was carried out with a change image produced from three techniques. In result, CVA was found to be the most accurate for detecting areas affected by flood. CVA with the overall accuracy and Kappa coefficient of 97.27 percent and 94.45 percent, respectively.