• Korean Journal of Health Education and Promotion
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• v.19 no.3
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• pp.73-85
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• 2002

This study was conducted to examine community residents' knowledge level and related factor on electronic wave in order to provide basic data for development of education and publicity program. 2,000 people, who lived in five big cities and five small and medium cities, were selected ad subjects of this study. The data were collected from May 1, 200 I to August 31, 2001. The results of this study are as follows. According to the average knowledge level of harmful affect of electronic wave on health in general characteristics, female was higher(37.40 ± 5.24 points) than male; ‘forties’ was highest(37.77 ± 5.69 points); ‘married spouse’ was high(36.84 ± 5.59 points); ‘living in small-ta-medium city’ was high(36.84 ± 5.32 points). ‘university graduate’ was highest(37.41 ± 5.32 points) in education level, ‘middle class’ was high(36.61 ± 4.96 points) in economic status, ‘professional technician’ was higher(36.68 ± 6.55 points) than other occupations in occupational type. According to the knowledge level of harmful affect of electronic wave on health in health condition by self-judgment, ‘good health condition’ was highest(36.77 ± 4.99 points). In the case of the knowledge level of those who visited medical institutions for last one year, ‘never visited’ was highest(37.19 ± 5.02 points). In the kind of medical institutions, ‘those who visited general hospital’ was highest(36.58 ± 5.63 points). In the way of knowledge obtainments of electronic wave through education and publicity media, ‘school education’ was highest(37.55 ± 5.19 points). According to the score of awareness level of disease incidence related to electronic wave, allergy and erethism was highest(57.8 points on the basis of 100 points). It appeared in order of leukemia, skin disease or skin cancer, dementia, various cancers, cataract, and brain tumor. The variables which significantly influenced knowledge level of harm of electronic wave were knowledge obtainments of electronic wave, age, economic status, daily TV watching period, sex, period of daily cellular phone use, period of working with computer, and daily VTR watching period. The knowledge of community residents concerning harmful affect of electronic wave on health is needed because people's opportunity of exposing to electronic wave is increasing. Especially, it is the demands of the times to provide information on knowledge of each equipment which generate electronic wave. The government, the product manufacturing companies, related social organizations, and education institutions must make efforts to develop the education program which is needed to make people have right knowledge and attitude.

• Journal of Navigation and Port Research
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• v.33 no.3
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• pp.167-174
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• 2009

Recently, design technology of has been required such as catamaran yacht with high-speed according to expand a marine leisure industry. The domestic technical development for design and production of yacht is not actively than Canada, USA, Japan etc. However, with further development of yacht design & technology, it is need to develop a key technology related to increase the value of catamaran yacht. In the present paper, new guideline is suggest for catamaran yacht as like kinds of marine leisure ship in order for fundamental structure design and structural analysis for twin-hulled ship yacht and techniques for structural analysis as sea leisure ship in this research. The class of society has not been proposed formally about regulation and methodology for estimation of strength of small hight-speed craft with satisfying two conditions as noted; length less than 50meters, ratio of length to breadth less than 12. In the present study, we were adopted DNV (Yachts, Design Principles, Design Loads, Hull Structural Design) Rule and KR (FRP rule application guide) for scantling of structural members. Furthermore, ABS rule is used for structural calculation about application of loading conditions for catamaran yacht. This study can be available feedback role to manufacture of 38ft diffusion style for catamaran yacht. It is expected that this study will be a good reference in order to design of catamaran yacht with high-speed.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.705-714
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• 2001

The computing systems of today expanded business trade and distributed business process Internet. More and more systems are developed from components with exactly reusability, independency, and portability. Component based development is focused on advanced concepts rater than passive manipulation or source code in class library. The primary component construction in CBD. However, lead to an additional cost for reconstructing the new component with CBD model. It also difficult to serve component information with rapidly and exactly, which normalization model are not established, frequency user logging in Web caused overload. A lot of difficult issues and aspects of Component Based Development have to be investigated to develop good component-based products. There is no established normalization model which will guarantee a proper treatment of components. This paper elaborates on some of those aspects of web application to adapt user requirement with exactly and rapidly. Distributed components in this paper are used in the most tiny size on network and suggest the network-addressable interface based on business domain. We also discuss the internal and external specifications for grasping component internal and external relations of user requirements to be analyzed. The specifications are stored on Servlets after dividing the information between session and entity as an EJB (Enterprise JavaBeans) that are reusable unit size in business domain. The reusable units are used in business component through query to get business component. As a major contribution, we propose a systems model for registration, auto-arrange, search, test, and download component, which covers component reusability and component customization.

• Journal of Korean society of Dental Hygiene
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• v.6 no.4
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• pp.295-309
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• 2006

This study was conducted among 831 industrial workers in Gumi City in Gyung-Sang-Buk Do for the purpose of acquiring knowledge to improve quality of life though industrial workers' oral health promotion. Oral examination and questionnaire surveying were used to evaluate workers' oral health state and subjective health state and analyze their effect on quality of life. 1. The number of workers in the study were 831 in all; there were more males who accounted for 74.6%. 43.7% of the subject were 29 years old, accounting for the largest age group. Their academic backgrounds are 53.6% workers who graduated from high schools or lower educational institutions, and 46.4% workers who graduated from college or higher educational institutions. 80.7% of the subjects replied that their economic state belonged to the middle class. Their job classification indicates that 70.2% were working in production and engineering fields and that the seniority of 55.3% workers was less than 55.3%. 2. The result of evaluating the effects of oral health state on individual well-being and quality of life using OHIP indicates that younger people, singles(p<0.01) than the married, those in worse economic situation and those with shorter seniority(p<0.01) had higher effect of oral health state on quality of life. In addition, those whose health or oral health was not good (p<0.01), those with liked tough texture of food and snacks(p<0.05), those with more frequency of drinking(p<0.01) and those with more smoking tended to have higher effect of oral health state on daily life or quality of life. Besides, OHIP confirmed that oral health state is a measurement tool that can evaluate its effect on individual well-being and quality of life. The suggestion for future studies is to develop Korean style OHIP that can be used conveniently and efficiently by expanding the subject area up to the whole country and validating the samples gained from random sampling.

• Membrane Journal
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• v.25 no.5
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• pp.373-384
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• 2015

In the past few decades, polymeric membrane has played an important role in gas separation applications. For the separation of $CO_2$, one of greenhouse gases, high permselectivity, long-term stability and scale-up are needed. However, conventional polymeric membranes have shown a trade-off relation between permeability and selectivity while inorganic materials are highly permeable but expensive. Mixed matrix membranes (MMMs) combining the advantages of both polymeric and inorganic materials have become a possible breakthrough for the next-generation gas separation membranes. The MMMs could be either symmetric or asymmetric but the latter is more preferred to improve the permeance. Important factors influencing the MMM fabrication include homogeneous distribution of inorganic particles and good interfacial contact between inorganic filler and organic matrix. Recently, metal organic frameworks (MOFs) have received much attention as a new class of porous crystalline materials and a potential candidate for $CO_2$ separation. Zeolitic imidazolate frameworks (ZIFs), a sub-branch of MOFs, are the most widely used in MMMs due to small particle size and appropriate pore size for $CO_2$ separation. One of the major issues associated with the incorporation of porous particles in a polymeric membrane is to control the microstructure of the porous particle materials such as particle size, orientation, and boundary conditions etc. In this review, major challenges surrounding MMMs and the strategies to tackle these challenges are given in detail.

• Journal of Korean Society of Forest Science
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• v.90 no.6
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• pp.673-682
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• 2001

The objective of this study was to monitor vegetation development process after timber harvesting at (Mt.) Baekwoonsan Seoul National University Forests, Korea. Two monitoring plots were established in 1994 and woody plant were monitored from 1994 to 1999. Vegetation development pattern during last six years(1994-1999) after timber harvesting were as follows; Styrax obassia, Styrax japonica and Lindera erythrocarpa as of the existing tree were competitive species in the first year after clearcut, and Styrax japonica and Lindera erythrocarpa as of sprout tree) and Aralia elata as of seedling were dominant species in the sixth years after clearcut. Species diversity indices of harvested forest interior was decreased at the southwestern slope and increased at the northeastern slope. According to DBH distribution pattern, No. of individuals of Lindera erythrocarpa and Aralia elata showed vigorous growth in the sub-canopy layer and then Styrax japonica, Quercus serrata, Maackia amurensis, Lespedeza maximowixzii, Lindera obtusiloba, Staphylea bumalda, Clero-dendrum trichotomum, Weigela subsessilis, in order showed good growth in the sixth year after clearcut. Lindera erythrocarpa with a reversed J-shaped curve pattern by DBH class will be increased while Aralia elata with a J-shaped curve pattern will be decreased.

• Journal of Biomedical and Translational Research
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• v.19 no.4
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• pp.116-124
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• 2018

Korean Native Pig (KNP) has a uniform black coat color, excellent meat quality, white colored fat, solid fat structure and good marbling. However, its growth performance is low, while the western origin Yorkshire pig has high growth performance. To take advantage of the unique performance of the two pig breeds, we raised crossbreeds (KNP ${\times}$ Yorkshire to make use of the heterotic effect. We then analyzed the liver transcriptome as it plays an important role in fat metabolism. We sampled at two stages: 10 weeks and at 26 weeks. The stages were chosen to correspond to the change in feeding system. A total of 16 pigs (8 from each stage) were sampled and RNA sequencing was performed. The reads were mapped to the reference genome and differential expression analysis was performed with edgeR package. A total of 324 genes were found to be significantly differentially expressed (${\left|log2FC\right|}$ > 1 & q < 0.01), out of which 180 genes were up-regulated and 144 genes were down-regulated. Principal Component Analysis (PCA) showed that the samples clustered according to stages. Functional annotation of significant DEGs (differentially expressed genes) showed that GO terms such as DNA replication, cell division, protein phosphorylation, regulation of signal transduction by p53 class mediator, ribosome, focal adhesion, DNA helicase activity, protein kinase activity etc. were enriched. KEGG pathway analysis showed that the DEGs functioned in cell cycle, Ras signaling pathway, p53 signaling pathway, MAPK signaling pathway etc. Twenty-nine transcripts were also part of the DEGs, these were predominantly Cys2His2-like fold group (C2H2) family of zinc fingers. A protein-protein interaction (PPI) network analysis showed that there were three highly interconnected clusters, suggesting an enrichment of genes with similar biological function. This study presents the first report of liver tissue specific gene regulation in a cross-bred Korean pig.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.295-307
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• 2021

This study proposed a field-applicable natural regeneration method using natural seeding to afforest a secondary growth forest after felling in Larix kaempferi plantations. In 2016, an experimental site was established usingseed-tree and clear-cutting methods in Gapyeong, Gyeonggi-do, South Korea. Characteristics of seed fructification and inflow in the natural regeneration site were analyzed along with an experimental site in Bonghwa, Gyeongsangbuk-do, which was established in 2014. As a result, the number of seeds per individual tree of V age class L. kaempferi was 690,340 seeds in a good year, with an estimated 13.8 million seeds per ha fruited in natural regeneration sites of L. kaempferi with 25 seed-trees per ha. Seed dispersal began in September and germination rates of seeds dispersed until November were greater than 40%. Reserved seed-tree sites showed the highest amount of seed inflow, followed by the seed-tree site and clear-cut site in descending order. The reserved seed-tree method performed better than other methods for evenly scattering seeds. Therefore, the timing of logging and seedbed generation for natural regeneration of L. kaempferi is estimated to be most effective before September when seeds are purposefully scattered using the reserved seed-tree method as an effective method for uniform seed supply.

• Journal of Korean Society of Disaster and Security
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• v.14 no.3
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• pp.17-27
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• 2021

In this study, classification models were built using machine learning techniques that can classify the soil creep risk into three classes from A to C (A: risk, B: moderate, C: good). A total of six machine learning techniques were used: K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting and then their classification accuracy was analyzed using the nationwide soil creep field survey data in 2019 and 2020. As a result of classification accuracy analysis, all six methods showed excellent accuracy of 0.9 or more. The methods where numerical data were applied for data training showed better performance than the methods based on character data of field survey evaluation table. Moreover, the methods learned with the data group (R1~R4) reflecting the expert opinion had higher accuracy than the field survey evaluation score data group (C1~C4). The machine learning can be used as a tool for prediction of soil creep if high-quality data are continuously secured and updated in the future.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.29-39
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• 2021

As damages to individuals, private sectors, and businesses increase due to newly occurring cyber attacks, the underlying network security problem has emerged as a major problem in computer systems. Therefore, NIDS using machine learning and deep learning is being studied to improve the limitations that occur in the existing Network Intrusion Detection System. In this study, a deep learning-based NIDS model study is conducted using the Convolution Neural Network (CNN) algorithm. For the image classification-based CNN algorithm learning, a discrete algorithm for continuity variables was added in the preprocessing stage used previously, and the predicted variables were expressed in a linear relationship and converted into easy-to-interpret data. Finally, the network packet processed through the above process is mapped to a square matrix structure and converted into a pixel image. For the performance evaluation of the proposed model, NSL-KDD, a representative network packet data, was used, and accuracy, precision, recall, and f1-score were used as performance indicators. As a result of the experiment, the proposed model showed the highest performance with an accuracy of 85%, and the harmonic mean (F1-Score) of the R2L class with a small number of training samples was 71%, showing very good performance compared to other models.