• Korean Journal of Plant Resources
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• v.21 no.5
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• pp.368-373
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• 2008

In order to investigate the effects of low temperature pretreatment of floral bud and plant growth regulators on anther-derived callus and shoot differentiation, anthers were cultured on 1/2 MS medium supplemented with 2,4-D, NAA, BA and TDZ. This plant depends on the plant growth regulators, for these anthers couldn't respond on 1/2 MS medium without plant growth regulators. 2,4-D was a prerequisite substance in this experiment, especially 52.6% of callus formation on MS medium with 2.0mg/L 2,4-D alone. However, the optimum medium was on 1/2 MS medium with 0.1 mg/L 2,4-D and 1.0mg/L BA for continuous growth and shoot differentiation from the anther. Calli derived from on MS medium with 2.0mg/L 2,4-D transferred to the 1/2MS medium with TDZ and BA. TDZ were less superior to BA, only one anther could produce shoot on MS media with 1.0mg/L TDZ. On the other hand, when the calli transferred to the medium with 3.0mg/L BA, adventitious shoots were proliferated, subsequently, regenerated shoots elongated from the embryogenic calli. After floral buds of one week before anthesis were incubated at $5^{\circ}C$ refrigerator for eight or fifteen days, anthers seperated from floral buds were cultured on 1/2MS medium supplemented with 0.1mg/L 2,4-D and 1.0mg/L BA. Callusing and shoot differentiation on anthers from treated at $5^{\circ}C$ for eight days were more effective than those of fifteen days or control.

• Journal of Korean Home Economics Education Association
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• v.21 no.4
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• pp.1-17
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• 2009

The purpose of this study was to investigate recognition of food additives, to provide the basic data for food education of high school students. The survey was conducted from 560 students who are boys and girls of high schools in Gwangju. Data were analyzed by a SAS program. According to the survey, an usual recognition for additive food according to related variable showed that it was the highest ratio of 4.18 that policy on complete labeling of foods should be requested for additive food but it showed the lowest 2.17 that additive food is promoting quality of food. In a difference of a degree of a correct answer of knowledge for additive food and knowledge according to related variable, a degree of a correct answer of knowledge for additive food showed a lot of interest in safety in that knowledge for safety showed 79.45 but were showed much lower 7.5% for a degree of a correct answer of actual knowledge of additive food among food ingredients labels. A a degree of a demand of information, safety concerns and understanding a uses of additive food according to sex and a grade showed that in a degree of a demand of information, the students have ever heard information of additive food was the girls were more than the boys and also freshmen were the most answered and have ever heard term of additive food was the boys were more than the girls and the sophomore students were the most answered questionnaire for media of TV. Radio. Newspaper and so forth. A degree of necessity the students know additive food was the most answered of positive from the boys and freshmen. Where the students would like to learn additive food was answered of media from the boys school teacher from the girls school teacher from the freshmen, media from the sophomore and the junior.

• Journal of the Korean Electrochemical Society
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• v.9 no.3
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• pp.124-131
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• 2006

For commercialization of molten carbonate fuel cell (MCFC), it has some problems to be overcome such as decrease of porosity and thickness of the anode under the operating condition (at $650^{\circ}C$ and working pressure of more than 2 $kg_f/cm^2$). Recently, Ni-Al alloy anode has been proposed to replace the conventional Ni-Cr anode as an alternative material to resist a creep and inhibit the sintering. The objective of this research is to sinter the green sheet of Ni-Al alloy anode during single cell pre-treatment process, which has several advantages like cost down and simplification of manufacturing process. However, the Ni-Al alloy anode prepared with a conventional pre-treatment process showed the phase separation of Ni-Al alloy and formation of micropore(${\leqq}0.4{\mu}m$), resulting in low creep resistance and high electrolyte re-distribution. In order to prevent the Ni-Al alloy anode from phase-separating, nitrogen gas was used in the process of pre-treatment. Introducing the nitrogen, the phase separation from Ni-Al alloy into nickel and alumina was minimized and increased creep resistance. However, there was some micropore formation on the surface of Ni-Al alloy anode during the cell operation due to creation of lithium aluminate. Addition of more amount of electrolyte into a cell, especially at cathode, made the cell performance stable for 2,000 hrs. Consequently, it was possible to make the Ni-Al alloy anode with good creep resistance by the modified in-situ sintering technique.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.37-50
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• 2020

Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.

• Korean Journal of Oriental Medicine
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• v.17 no.3
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• pp.1-8
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• 2011

In the late Joseon Dynasty, a bulky volume of books, which had rarely been seen, poured out including "Imwongyeongjeji", "Japdongsani", "Songnamjapsik" and "Ohjuyeonmunjaangjeonsango". such sorts of books have a characteristic that an author collected various pieces of information, which were scatter away at that time, in one's own way and compiled them into a book rather than an author's own remarks or ideas. Most authors of such books were known to have made not a few book beside bulky books. Such a trend of the times doubled its revitalization with the influx of that books in a series that were popular especially in the period of Ming State & Ching State in China. The research work on such a trend once showed not a little progress by a few faithful researchers even under the circumstances where they were overwhelmed by the bulkiness of a book in a series itself and its target volume. However, in spite of not a little fruition of such studies, there has been no comments at all on the new factors of change faced by Oriental medicine in the climate of the intellect history in the late Joseon Dynasty. Thus, this study aimed at looking at the significance of medical-history-based studies on this matter on the basis of Park, Jiwon's "Keumryosocho", and Lee, Deokmu's "Iemokgushimseo", and suggesting the further task. The conclusions obtained from the analysis of "Keumryosocho" and "Iemokgusimseo" are as follows: 1.The prescriptions cited from the sorts of writings excluded entirely the medical theories on the principles of prescription, and they are composed of a single-medicine prescription or so, which made it easier even for those who lacked a special knowledge of medicine to use it; in addition, it was easy to get medicinal ingredients in most cases. It's presumed that such a composition of medicinal ingredients had a close relation with the difficulty in the supply of medicinal ingredients, which issue became a serious issue in the late Joseon Dynasty. 2. The prescriptions originating from the sorts of writings sometimes are mixed with the ones whose medical efficiency are doubted. This means the inherence of obstacles to delivering accurate medical knowledge couldn't be avoided because the initial purpose of such sorts of writings lay in popularity than practicality. 3. In spite of such problems, the prescriptions originating from writings seems to have not a few influences on the intellectuals in the late Joseon Dynasty, and it's possible for us to take a glance on the traces of their use of these prescriptions in an actual daily life. This fact is fully confirmed by the contents in the preface of "Keumryosocho" that Park-jiwon personally tried to write a prescription. Moreover, such facts can be also confirmed from the fact that the writings of China or our country are seen quite often among the writings which were incited by Seo, Yugu's "Injeji." Like this, the fact that the information of orthodox medicine and the one originating from general books other than medicine books were integrated at one place is plainly showing a phase of the intellect history in the late Joseon Dynasty deluged with information; because of such a characteristic, we can say that Oriental medicine became plentiful in the aspect of diversity with its expansion of denotation, but Oriental medicine could not but additionally assume the problem of having to distinguish good from bad in the midst of such a situation.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.28 no.4
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• pp.120-126
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• 2010

As the importance of an historical area is getting increased in these days, the reconstruction of an bell chamber in Namhansansung has significant historial, educational and cultural meaning. The purpose of this study, as a study on an bell chamber in Namhansansung, is to assume an original location of the bell chamber and identify the size and shape of the original bell chamber through literature study, site inspection, and analysis on old maps. In addition, this study could provide useful information when new bell chamber is constructed. According to the literature study, site inspections(5 times) and analysis on old maps, the original bell chamber is assumed to locate near current Oroji tea house at the rotary, where was in the area of Hanggung. With regard to the traffic system, it is assume that there was an old road along with the current local road No.342 connecting the South Gate with North Gate and a Y or T shape intersection connecting the site of old bell chamber with the north. In addition, there was a government office street from the old bell chamber to Hanggung. The shape of old bell chamber is assumed to have Paljak or Woojingak roof. Samo roof was not found in all the five maps. Regarding the direction of bell chamber, three maps indicate that it faces the East and two maps show that it faces the South. Therefore, it is assumed that the length and width of the roof have similar size. However, a new bell chamber should face the East, which is the same direction with Hanggung. As there is a record which states that a bell in the Cheonheoungsa, Seonggeosan, Cheonan was used as a Namhansansung's bell when the Cheonheoungsa was closed, this study suggests that new Namansansung's bell should be built, considering histroical value and artistry of Cheonheoungsa's bell. This study is a basic research for the reconstruction of Namhansansung in 2009. However, as reconstruction of historical assets should be based on thorough historical evidences. Therefore, more detail researches by a indicator analysis are left for the topic of future studies.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.36 no.1
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• pp.34-44
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• 2018

In the Ancient Mesopotamia, Egypt, Judas, Greece, and Rome, Phoenix dactylifera was planted in gardens or orchards to signify life, blessing, and victory. Branches of Phoenix dactylifera, likened to high and precious, were referred to one of the gifts to the king in the second century BC and have been used in the Feast of Tabernacles. And they were engraved on the walls of the temple and along with cherub. Besides, Phoenix dactylifera is compared with a righteous person in the Bible since it grows straight despite strong winds. And, it was used as a symbol of honesty, justice, and right. Churches call the week before Easter Palm Sunday since the crowd laid the leaves of date palm trees on the road and shouted "Hosanna" while waving the date palm branches when Jesus entered Jerusalem. Moreover, pilgrim in the Middle Ages was called 'Palmer' in English due to custom of returning with the leaves and branches of date palm trees as a memorial of the Holy Land pilgrimage. This study analyzes naming issue of Phoenix dactylifera through the old literature and 27 versions of the most influential Bibles in History of Bible Translation in Korea, China, and Japan. Phoenix dactylifera is translated into Chinese as '棕櫚(Trachycarpus fortunei)', a native tree of China. 棕櫚 is similar to Phoenix dactylifera, but its fruit and leaf are quite distinct. This being so, translating Phoenix dactylifera as 棕櫚 has a limit to convey symbolic meaning adequately. In the Japanese Bible, on the other hand, Phoenix dactylifera is translated as 'なつめやし(Natsumeyashi)' meant date palm tree. Most of Protestant Bible in Korea use 'Jongryeo' like Chinese Bible while translation in Korean Catholic Bible(2005) varies from one scripture to another: 'Yaja Namu (Palm Tree)' - 38 times, 'Jongryeo Namu' - 5 times, and 'Daechu Yaja Namu (Date Palm Tree)' - 3 times. Date Palm Tree, 'Jongryeo Tree', and Palm Tree don't grow in Korea. However, they had long been recognized as Haejo(海棗), Jongryeo(?櫚), and Yaja(椰子) respectively through China and Japan. Each of them called by a distinct name correspond with its own characteristic and used separately in Korean Classics as Jongryeo and Haejo were identified in ancient Chinese literatures. It seems that more confusion was raised since 'Palm' was translated as 'Jongryeo' in several books including "?藤和英大辭典 (1915)", "Modern 朝鮮外來語辭典(1938)", and "Latin-Korean Dictionary(1995)". However, the Latin term 'Palmae' is translated into English as either palm tree or date palm. The results of this study suggest that more accurate translation of Phoenix dactylifera in the Bible would be 'Daechu Yaja Namu (Date Palm Tree)' and using different name fit for its own characteristic would be more appropriate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7524-7533
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• 2015

The purpose of this study was to investigate the effects of purple sweet potato(PSP) intake and aerobic combined exercise in obese middle school girls. Twenty-four, obese(%body fat > 30%) middle school girls composed of the purple sweet potato intake and aerobic combined exercise group(A, n=6), the aerobic combined exercise group(B, n=6), the purple sweet potato intake group(C, n=6), the control group(D, n=6). The variables of health related fitness, blood lipid profile, insulin resistance were measured in all the subjects before the start and after the end of 12 week aerobic combined exercise program(40~70%HRR, 3 times per week, 70 mins). The test data were analyzed by paired t-test and one way ANOVA, and the alpha level of p<.05 was set for all tests of significance. In the comparison within each group, %body fat[A(p<.01), C(p<.05) groups], TC[A(p<.05), B(p<.01), C(p<.01) groups] and insulin resistance[A(p<.05) group] were significantly decreased and LBM[A(p<.01), B(p<.01) groups], muscular strength[A(p<.01), B(p<.001), C(p<.05) groups], muscular endurance[A(p<.05), B(p<.001) groups], flexibility[A(p<.05), B(p<.01) groups] and cardiorespiratory endurance[A(p<.05), B(p<.001), C(p<.01) groups] were significantly increased. In the comparison between groups, A group was significantly decreased in %body fat, TC and TG than D group(p<.05). A group was significantly increased in muscular strength and cardiorespiratory endurance than C, D groups (p<.05). A group was significantly increased in muscular endurance and HDL-C than D group(p<.05). A, B groups were significantly increased in flexibility than D group(p<.05). A, B, C groups were significantly decreased in insulin resistance than D group(p<.05). In conclusion, purple sweet potato intake and aerobic combined exercise were effective in improving the health related fitness, blood lipid profile and insulin resistance in obese middle school girls.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.281-286
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• 2003

A large number of features are collected for problem solving in real life, but to utilize ail the features collected would be difficult. It is not so easy to collect of correct data about all features. In case it takes advantage of all collected data to learn, complicated learning model is created and good performance result can't get. Also exist interrelationships or hierarchical relations among the features. We can reduce feature's number analyzing relation among the features using heuristic knowledge or statistical method. Heuristic technique refers to learning through repetitive trial and errors and experience. Experts can approach to relevant problem domain through opinion collection process by experience. These properties can be utilized to reduce the number of feature used in learning. Experts generate a new feature (highly abstract) using raw data. This paper describes machine learning model that reduce the number of features used in learning using heuristic function and use abstracted feature by neural network's input value. We have applied this model to the win/lose prediction in pro-baseball games. The result shows the model mixing two techniques not only reduces the complexity of the neural network model but also significantly improves the classification accuracy than when neural network and heuristic model are used separately.