• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.88-101
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• 2020

This study was conducted to identify the factors predicting binge drinking in men and women in Korea based on the results of the 7th year 3rd National Health and Nutrition Survey. The study data used the demographic and health-related characteristics and drinking characteristics of the National Health and Nutrition Survey, and were analyzed by cross-sample analysis and logistic regression analysis. As a result of the study, age (M:p=.003, F:p<.001), drinking frequency for one year (M:p<.001, F:p<.001), amount of alcohol consumed at a time (M:p<.001) 001, F:p<.001), family/doctor's recommendation for moderation (M:p<.001, F:p<.001), stress (M:p=.025, F:p<.001), Smoking (M:p<.001, F:p<.001) were predictors for binge drinking in both men and women. In addition, education level(p=.030) and economic activity status(p=.018) for men, income level(p<.001) and marital status(p=.020) for women were identified as predictors of binge drinking, and variables explained 72.4%(p < .001) and 74.5%(p < .001) of adult male and female binge drinking. This study is meaningful in that it provided basic data on the establishment of a gender-specific binge drinking prevention policy and the restructuring of drinking culture by clarifying that the risk factors of binge drinking in Korean adults differ by gender.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.329-338
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• 2018

The purpose of this longitudinal study was to investigate confidence in core basic nursing skill each period of clinical practicum and discover the changes, depending on characteristics of periods. The data was collected for 94 nursing students attending a university located in J-do from Mar. 9 to Dec. 16 2016 for 4 times in total. For data analysis, the frequency analysis, descriptive statistics and paired t-test were used. The research findings showed that confidence in core basic nursing skill by each period of clinical practicum was lowest before clinical practicum in general but gradually increased depending on lapse of time and experience of clinical practicum. However, it decreased in all items after having first clinical practicum in the $2^{nd}$ semester, compared to after first clinical practicum in the $1^{st}$ semester. In addition, the difference of confidence in core basic nursing skill between clinical practicum periods was higher after the first clinical practicum in the $1^{st}$ semester and after clinical practicum at the end of school year, compared to before clinical practicum and after the first clinical practicum in the $2^{nd}$ semester respectively. Therefore, this study suggested that it's necessary to have efficient and systematic clinical practicum education strategy, reflecting the characteristics of periods in clinical practicum in order to improve the confidence in core basic nursing skill of nursing students.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.7 s.337
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• pp.27-34
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• 2005

Iterative detection (ID) has proven to be a near-optimal solution for concatenated Finite State Machines (FSMs) with interleavers over an additive white Gaussian noise (AWGN) channel. When perfect channel state information (CSI) is not available at the receiver, an adaptive ID (AID) scheme is required to deal with the unknown, and possibly time-varying parameters. The basic building block for ID or AID is the soft-input soft-output (SISO) or adaptive SISO (A-SISO) module. In this paper, Reduced State SISO (RS-SISO) algorithms have been applied for complexity reduction of the A-SISO module. We show that serially concatenated CPM (SCCPM) with AID has turbo-like performance over fading ISI channels and also RS-A-SISO systems have large iteration gains. Various design options for RS-A-SISO algorithms are evaluated. Recently developed density evolution technique is used to analyze RS-A-SISO algorithms. We show that density evolution technique that is usually used for AWGN systems is also a good analysis tool for RS-A-SISO systems over frequency-selective fading channels.

• The Journal of Korean Obstetrics and Gynecology
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• v.29 no.3
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• pp.1-9
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• 2016

Objectives: Cold Hypersensitivity of Hands and Feet (CHHF) has been diagnosed objectively by Digital Infrared Thermal Imaging (DITI) and has been known to be associated with autonomic nervous system (ANS), which can be assessed by Heart Rate Variability (HRV). This study evaluated the correlation between severity of CHHF and HRV variables.Methods: We studied 155 non-menopausal women with CHHF who visited Kyung Hee University Hospital at Gangdong from 01 October 2013 to 30 April 2016. We measured DITI and HRV of each patient. We used DITI to calculate the severity of CHHF with thermal difference between upper arm (L4, 俠白穴) and palm (P8, 勞宮穴) of both hands and anterior thigh (ST32, 伏兎穴) and dorsum of foot (LI3, 太衝穴) of both feet. The correlation between severity of CHHF and HRV variables were analyzed.Results: In time domain analysis, there was significantly positive correlation between the severity of CHHF and both SDNN and RMSSD. In frequency domain analysis, there was significantly positive correlation between the severity of CHHF and TP, HF and HF Norm while there was significantly negative correlation between the severity of CHHF and LF Norm as well as between the severity of cold hypersensitivity of both hands and LF/HF ratio.Conclusions: The more severe CHHF is, the more increased the function of parasympathetic nerve system (PNS) and relatively decreased the function of sympathetic nerve system (SNS) is. Also, it has known that cold hypersensitivity could be caused by deficiency syndrome and qi deficiency has the same ANS tendency as CHHF. Therefore, in practical fields, this result can be helpful in planning treatment and deciding prognosis in respect of deficiency syndrome.

• Journal of the Korean Society of School Health
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• v.13 no.2
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• pp.231-240
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• 2000

The purpose of this study is to analyze the relationship between life style and health status of the staffs of an elementary school to understand exercise practices and life styles and to analyze the self-efficacy and the factors that affect it concerning walking exercise. The subjects were m9 staff member of the 10 elementary school in Seoul and materials were collected through an organized examination table from October, 1999 to May 2000. The people health awareness table was used as a variable for life style, the 13 questionnaires made of a 5 points measure was for the self efficacy concerning walking exercise. The data was analyzed through a statistics package made of a Chisquare-test, t-test, ANOVA and a regression analysis. The major results of this study were as follows; 1) 50% of the staffs were practicing regular exercise, 3/4 of them practiced walking, jogging and mountain climbing that don't need equipment and exercise frequency was 1-2 times per week 64%. of the time and exercise span was under 30 minutes in 38%, the highest 2) The average of self-efficacy concerning walking exercise was 3.6 points but the answers "I can walk enough to be in a sweat", "I can walk according to my exercise plan" were relatively low. 3) The explanation degree of the Model was 14% in a regression analysis between self efficacy concerning walking exercise and as a dependent variable for a regular walking exercise plan, regular health examination, routine health status, and breakfast might serve as an explanation degree. According to the results of this study, the suggestions were as follows: 1) The chronic invalid was not enough in the change of life style after chronic disease, most of all, it need the awareness of change, of active health education and of public information for health promotion action practice through the prohibition of smoking, abstinence from drink, exercise and nutritional balance. 2) Concrete practice program enlargement is needed to enhance related walking exercise or of a type lecture meeting for subjects who have a positive attitude about walking exercise plans. 3) A program that can actively recommend a health promotion life style is needed when we make allowance for those who have an ordinarily healthy life style and show a high walking exercise self-efficacy.

• Korean Journal of Health Education and Promotion
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• v.23 no.3
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• pp.17-35
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• 2006

Objectives: This study was conducted to investigate the determining factors that have influence on elementary students who go without breakfast and identified their physical, mental and social health that may resulted by skipping breakfast. Methods: For data collection, total 855 elementary students at the 5th and 6th grade in an urban and a rural area were asked to join the survey using a self-administered questionnaire from March 25 to April 9, 2005. The data were analyzed through a series of statistical methods including frequency, percentage, chi-square$(X^2)$ test, t-test and multiple logistic regression analysis. Results: It was found that 24.0 % of respondents would skip breakfast, and influential socioeconomic factors on their skipped breakfast were economic level and mother's occupation. A group that has meals more with family everyday and a group that has breakfast served by mother as usual showed significantly low percentage of going without breakfast at statistical level(p<0.05). In case that other family members used to go without breakfast, there was a tendency to significantly high rate of skipped breakfast(p<0.01). And a group who got up early in the morning and a group who scored high points in the assessment of dietary habit showed significantly low percentage of skipped breakfast(p<0.01). In the result of multiple logistic regression analysis, the significant variables in urban area were economic level, person setting up breakfast, getting-up time and family members who would skip a meal. In rural area, meal-skipping family member, person setting up breakfast and dietary habit were significant variables(p<0.05). In physical influences according to skipping breakfast, students would skip breakfast had more stomach or dizziness(p<0.05). Depression score were higher and school life score were lower in group skipping breakfast, but not statistically significant. Conclusions: In conclusion, in order to reduce the rate of elementary students who often go without breakfast, it is favorable that they should be instructed in the importance of breakfast and the harm of skipped meal, so that they can cultivate positive living habits and dietary attitudes as well. And it is necessary that this health education cover not only students but also all of their family members(especially mother). Furthermore, it is necessary to develop systematic programs for them to get over environment factors.

• Journal of Science Education
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• v.40 no.3
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• pp.254-266
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• 2016

In this study, MBL experiments in the Korean secondary science textbooks and chemistry textbooks under the 2007 and the 2009 curriculum revision were analyzed in terms of curriculum revision era, grade, context of experiment in the textbook, field of science, topic, sensor, and publisher. As a result, 25 MBL experiments were found in the science textbooks under the 2007 revision, and 29 experiments under the 2009 revision (19 for middle school textbook and 10 for high school textbook). MBL experiments in middle school textbooks were not increased after curriculum revision while those in high school textbooks appeared for the first time. Most of them were in the textbooks for grade 7 and presented as an essential experiment rather than optional one. Motion sensor and temperature sensor were used most frequently, and oxygen sensor and carbon dioxide sensor were followed. In aspect of publishers, a frequency of MBL experiment was decreased in most textbook and some publishers didn't include MBL experiment at all. Based on these results, educational implications were discussed.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.267-271
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• 2005

The goal of data mining is to extract new and useful knowledge from large scale datasets. As the amount of available data grows explosively, it became vitally important to develop faster data mining algorithms for various types of data. Recently, an interest in developing data mining algorithms that operate on graphs has been increased. Especially, mining frequent patterns from structured data such as graphs has been concerned by many research groups. A graph is a highly adaptable representation scheme that used in many domains including chemistry, bioinformatics and physics. For example, the chemical structure of a given substance can be modelled by an undirected labelled graph in which each node corresponds to an atom and each edge corresponds to a chemical bond between atoms. Internet can also be modelled as a directed graph in which each node corresponds to an web site and each edge corresponds to a hypertext link between web sites. Notably in bioinformatics area, various kinds of newly discovered data such as gene regulation networks or protein interaction networks could be modelled as graphs. There have been a number of attempts to find useful knowledge from these graph structured data. One of the most powerful analysis tool for graph structured data is frequent subgraph analysis. Recurring patterns in graph data can provide incomparable insights into that graph data. However, to find recurring subgraphs is extremely expensive in computational side. At the core of the problem, there are two computationally challenging problems. 1) Subgraph isomorphism and 2) Enumeration of subgraphs. Problems related to the former are subgraph isomorphism problem (Is graph A contains graph B?) and graph isomorphism problem(Are two graphs A and B the same or not?). Even these simplified versions of the subgraph mining problem are known to be NP-complete or Polymorphism-complete and no polynomial time algorithm has been existed so far. The later is also a difficult problem. We should generate all of 2$^n$ subgraphs if there is no constraint where n is the number of vertices of the input graph. In order to find frequent subgraphs from larger graph database, it is essential to give appropriate constraint to the subgraphs to find. Most of the current approaches are focus on the frequencies of a subgraph: the higher the frequency of a graph is, the more attentions should be given to that graph. Recently, several algorithms which use level by level approaches to find frequent subgraphs have been developed. Some of the recently emerging applications suggest that other constraints such as connectivity also could be useful in mining subgraphs : more strongly connected parts of a graph are more informative. If we restrict the set of subgraphs to mine to more strongly connected parts, its computational complexity could be decreased significantly. In this paper, we present an efficient algorithm to mine frequent subgraphs that are more strongly connected. Experimental study shows that the algorithm is scaling to larger graphs which have more than ten thousand vertices.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1139-1149
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• 2017

Measuring tree's volume is very important input data of various environmental analysis modeling However, It's difficult to use economical and equipment to measure a fragmented small green space in the city. In addition, Trees are sensitive to seasons, so we need new and easier equipment and quantification methods for measuring trees than lidar for high frequency monitoring. In particular, the tree's size in a city affect management costs, ecosystem services, safety, and so need to be managed and informed on the individual tree-based. In this study, we aim to acquire image data with UAV(Unmanned Aerial Vehicle), which can be operated at low cost and frequently, and quickly and easily quantify a single tree using SfM-MVS(Structure from Motion-Multi View Stereo), and we evaluate the impact of reducing number of images on the point density of point clouds generated from SfM-MVS and the quantification of single trees. Also, We used the Watertight model to estimate the volume of a single tree and to shape it into a 3D structure and compare it with the quantification results of 3 different type of 3D models. The results of the analysis show that UAV, SfM-MVS and solid model can quantify and shape a single tree with low cost and high time resolution easily. This study is only for a single tree, Therefore, in order to apply it to a larger scale, it is necessary to follow up research to develop it, such as convergence with various spatial information data, improvement of quantification technique and flight plan for enlarging green space.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.28 no.1
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• pp.67-79
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• 1995

Temporal variation of demersal fish in Asan Bay was determined by analyzing seasonal samples collected by an otter tyawl from November 1990 to August 1993. Of 49 species identified, Cynogiossus joyneri, Thrissa koreans and Johnius belengerii predominated in abundance, consisting of $84.7\%$ in fish numbers and $70.5\%$ in biomass. The number of species did not show any significant seasonal variation. Fish numbers and biomass were comparatively high 3n spring, summer and tall, and low in winter. Community structure, analyzed by principal component analysis using rank correlation, showed a clear seasonal trend, which seems to be related to the seasonal effects such as temperature. The number of species and their abundance in the study area were lower than those in other embayments of Korean peninsula. It seems that unstability of the sediments by tidal mixing caused this phenomenon. The total number of species decreased annually. The species of which the frequency of occurrence tends to diminish as time were mainly composed of the species which rarely occurred with low abundance.