• Journal of National Security and Military Science
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• s.7
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• pp.1-24
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• 2009

This article deals with military thought in general. First I tried to distinguish 'thought' from 'theory', 'philosophy', and 'principle'. Thought means the act of thinking about or considering something, an idea or opinion, or a set of ideas about a particular subject, e.g. military affairs in the present discussion. Theory means a formal statement of the rules on which a subject of study is based or of ideas which are suggested to explain a fact or event or, more generally, an opinion or explanation. Philosophy means the use of reason in understanding such things as the nature of reality and existence, the use and limits of knowledge. Principle means a basic idea or rule that explains or controls how something happens or works. Chapter 3 summarized the characteristics of military thoughts into five points', (i) it is closely related with concrete experiences of a nation; (ii) it includes philosophical and logical arguments; (iii) it relies heavily on the political thought of a nation; (iv) it includes necessarily value-judgments; (v) it contains visions of a nation which are not only descriptions or explanations of military affairs, but also evaluations and advocacies. Chapter 4 considers the relation of international political thoughts to military thought. Throughout the history of the modem states system there have been three competing traditions of thought: the Hobbesian or realist tradition, which views international politics as a state of war; the Kantian or universalist tradition, which sees at work in international politics a potential community of mankind; and the Grotian or internationalist tradition, which views international politics as taking place within an international society. Chapter 5 considers the law of war, which is a body of law concerning acceptable justifications to engage in war (jus ad bellum) and the limits to acceptable wartime conduct (jus in bello). Among other issues, modem laws of war address declarations of war, acceptance of surrender and the treatment of prisoners of war, military necessity along with distinction and proportionality, and the prohibition of certain weapons that may cause unnecessary suffering.

• The Journal of Korean Academy of Prosthodontics
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• v.44 no.4
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• pp.363-373
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• 2006

Statement of Problem : The accuracy and dimensional stability of elastomeric impression materials have been the subject of numerous investigation. Few studies have addressed the effect of changes in time on the dimensional stability of impression materials. Purpose: The purpose of this investigation was to evaluate the effects of elastomeric impression materials and storage time on dimensional stability. Materials and methods: A total of 75 impressions were made of epoxy resin dies mimicked prepared 3-unit fixed partial denture. The dies had 1 buccolingual, 1 mesiodistal and 1 occlusogingival lines and interpreped dot. Impression materials investigated included two polyether impression materials and three polyvinylsiloxane impression material. 15 specimens were made of each impression material and poured by type IV stone over times (30 minutes, 24 hours, 72 hours) after mixing; the same examiner measured each specimen 3 times at a magnification of 3.5$\times$. All statistical tests were performed with the level of significance set at .05. Results : The results indicated that significant difference at any measuring point of stone dies of the polyether impression materials and when measurements at 30 minutes, 24 hours, and 72 hours were compared ; the length of measuring point increased significantly as time passed by. However this result is not significant clinically. Analysis also showed significant differences at any measuring point when polyvinylsiloxane and polyether impression materials were compared and significant differences clinically. Conclusion: Under the conditions of this study, the shrinkage rate of the polyvinylsiloxane and polyether impression materials significantly increased as time passed by. The polyether impression materials showed higher shrinkage significantly, while the shrinkage rate of all five materials showed a significant time-dependent increase.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.105-129
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• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.869-872
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• 2005

The purpose of this study is on the prediction of the acoustic performance of the lined rectangular plenum chamber which can be used in the HVAC systems. The lined plenum chamber is modeled as a piston driven rectangular tube without mean flow and the acoustic pressure in the lined chamber is obtained by superposing the three dimensional pressure due to each of uniformly and harmonically fluctuating pistons. The arbitrary locations of inlet/outlet ports as well as the acoustic higher order modes generated at the area discontinuities of the port chamber interfaces are taken into consideration. The four-pole parameters can be derived by imposing the proper boundary conditions on each inlet and outlet ports. The lining material on the internal wall is assumed to be a bulk-reacting model. A single weak variation statement which satisfies the fluctuating rigid piston condition and the pressure and displacement continuity condition at the interface between the lining material and the airway was developed. The set of cosine functions were used as the admissible function when applying the Rayleigh-Ritz method. Computed results are compared with those predicted by using the locally-reacting lining material and experimental results, respectively. There are a good agreement shown between the results by the Rayleigh-Ritz method and the experiment results. The derived transfer matrices can be easily combined with other four-pole parameters of different types of mufflers for the calculation of the whole system performance.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.109-124
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• 2020

Facing the 4^th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.

• 대한공업교육학회지
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• v.39 no.1
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• pp.66-84
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• 2014

The purpose of this study is to develop STEAM hand-on activity task for middle school manufacturing & automation unit. This study was conducted following three stages. First of all, I carried out documents research and requirements analysis. And the goals for STEAM hand-on activity were set at this stage. Second, topics for STEAM hand-on activity were selected, and the organized for designing hand-on activity related STEAM in the development step. Finally, pilot and field test were conducted in order to amend and/or complement in improvement step. The theme and/or title of the hand-on activities were 'Making the print using wood', 'Making the close up photography & telephoto lens for smart phone'. The STEAM hand-on activities were designed for ten hours for each subject respectively. Each hand-on activity consists of problem situation, objectives statement, materials and tools, an evaluating criteria, related knowledge, portfolio and so on.

• Journal of the Korean Institute of Rural Architecture
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• v.4 no.3
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• pp.39-52
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• 2002

Some projects being in force by the Ministry of Government Administration & Home Affairs and the Ministry of Agriculture & Forestry for farm village area activation offers experience activity of various form to city dwellers, and to farm village inhabitants, affirmative effect is expected in aspect that activation becomes possible for a lot of visitors. But, to farm village(rural district) area activation that huge budget and effort carried out successfully, there are some items that specialist, administration and the persons concerned must inspect together now. First, to project for farm village area activation succeeds; leading participation of inhabitants should be premised. Second, that stagnated economy revives is as rightful result that appears in case farm village area activation effort succeeds. But, can drop more highlights like the value pursuit of life in case put success or failure of all businesses in income enlargement. Third, because inhabitant cultivates own in making process, the attachment and pride for area can be inculcated. Doing not become focus is set to economical logic to do, the heritage of area as well as history culture, must consider that apply eco-museum concept that magnify nature heritage and industry heritage. Fourth, actually the plan period given usually is too shortly than received huge budget. Furthermore, in case it carries out by desirable inhabitants leading type so. Project that not consider the period that is cost to the statement of inhabitants' active opinion and finding out a point of compromise may be hard to get desirable result.

• Journal of Korean society of Dental Hygiene
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• v.12 no.5
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• pp.1049-1058
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• 2012

Objectives : It will be necessary to make statement about the competence targeted in the dental hygienic education that adopts the competence-based curriculum from the standpoint of core competence which the students need to be equipped with in the society. Methods : To achieve the education objective of Dental Hygienics, the information available on the website of the Korean Dental Association, universities and graduate schools were used, and the education objectives of the concerned universities which were posted in the websites of 82 universities from July to August, 2011 were analyzed. Results : C7 and C1 accounted for 21.1%, the highest percentage, in the core capability, while HP1 comprised 79.6% in the health improvement and disease prevention. CM1 stood at 73.7%, the highest percentage, in the community involvement(CM) area, and PC4 accounted for 90.8%, the highest percentage, in the patient care(PC) area. In the professional growth and development(PGD) area, PGD1 was the highest, followed by PGD3. In relation to the comments on the occupational types after graduation, 63.1% of respondents mentioned the dental hygienists at the school, while 33.3% did not make any comment on the dental hygienists. Conclusions It was necessary to re-establish the essential objectives of the graduates based on the competence as the accomplishments of studying and learning in the department of dental hygiene. It may be a useful method to set the competency-based education objective on the basis of the implementation ability and the level of graduates.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.92-101
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• 2019

This study used the Q-method to derive the structure of subjective opinions and perceptions of university students about the behavior of food delivery agency service provided by staff not directly employed in restaurants. For this purpose, the Q factor analysis was performed using the PC QUANL program for the Q-sort, which consists of a statement card, a P-sample, and a classification process. The results were classified into three types. The factor names were set as the first type (N = 7): efficiency seeking type, the second type (N = 19): benefit seeking type, and the third type [(N = 6): cost-effectiveness seeking type. The characteristics of each type are Type 1:Types that recognize aspects that are efficient for both consumers and restaurants, Type 2: Types of recognizing aspects of being benefited from speed, convenience and benefit, Type 3: Although it contributes to labor cost savings, it appears to recognize price and quality aspects in the initial market, which is burdened by consumers. The purpose of this study is to derive the problems of food delivery agency service business according to the three types and to provide strategic implications for the development direction and improvement plan.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.11 no.1
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• pp.14-22
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• 2004

The purpose of this study was to establish the basic-data set for the electronic nursing records system by analysis of nursing phenomenas and nursing actions described in nursing records of orthopedic patients using the ICNP. Nursing notes for 1.421 days of 97 orthopedics patients who were discharged from a tertiary teaching hospital in Daegu were used. Narrative data from the nursing notes were collected. decomposed. and cross mapped with the concepts of the ICNP beta version. In total 11.442 statements were found in the process of decomposing the narrative data into single statement. These statements consist of 3.970(34.70%) nursing phenomena statements. 6.996(61.14%) nursing action statements, and 476(4.16%) other statements. Finally 312 unique statements were collected by integrating same or similar statements. These statements consist of 120 (38.46%) nursing phenomena statements. 154 (49.36%) nursing action statements. and 38 (12.18%) other statements. When this result was cross mapped with ICNP beta version. 77.0% of nursing statements were completely expressed. 17.0% of them were partially expressed. and 0.3% of them were not able to expressed at all. The findings of this study showed the usability of ICNP as terminology of electronic nursing records system. And the result of this study can be utilized for an ICNP-based electronic nursing records system and can help clinical nurses to spend more time on direct nursing.