• Journal of Navigation and Port Research
• /
• v.39 no.2
• /
• pp.99-105
• /
• 2015

Until recently, thermal power plants have used high-rank coals to generate electricity. The switched to low-rank coals, primarily because of the rising coal price and the advancement of combustion technology. Therefore the thermal power plants need more fuels aspect of quantity and they are going to build extra infrastructure to deal with the increased fuel demand in their specialized ports. This paper introduces the process of the economic analysis as a case study for Hadong T/P(Thermal Power) Port. This study also evaluates investment for mew projects in ports. We analyze the costs and benefits of the port investment project using various information. And then we conduct the economic analysis using NPV(net present value), B/C ratio and IRR grounded in a financial theory. Out result of the economic feasibility shows that the new project of constructing a third berth in Hadong T/P Port has positive economic value. Additionally, this study conducts the sensitivity analysis of the major variables like cost, benefit and discount rate.

• Nuclear Engineering and Technology
• /
• v.47 no.3
• /
• pp.306-314
• /
• 2015

This paper examines the difference in the value of the nuclear fuel cycle cost calculated by the deterministic and probabilistic methods on the basis of an equilibrium model. Calculating using the deterministic method, the direct disposal cost and Pyro-SFR (sodium-cooled fast reactor) nuclear fuel cycle cost, including the reactor cost, were found to be 66.41 mills/kWh and 77.82 mills/kWh, respectively (1 mill = one thousand of a dollar, i.e., $10^{-3}$ $). This is because the cost of SFR is considerably expensive. Calculating again using the probabilistic method, however, the direct disposal cost and Pyro-SFR nuclear fuel cycle cost, excluding the reactor cost, were found be 7.47 mills/kWh and 6.40 mills/kWh, respectively, on the basis of the most likely value. This is because the nuclear fuel cycle cost is significantly affected by the standard deviation and the mean of the unit cost that includes uncertainty. Thus, it is judged that not only the deterministic method, but also the probabilistic method, would also be necessary to evaluate the nuclear fuel cycle cost. By analyzing the sensitivity of the unit cost in each phase of the nuclear fuel cycle, it was found that the uranium unit price is the most influential factor in determining nuclear fuel cycle costs.

• International Journal of Highway Engineering
• /
• v.16 no.1
• /
• pp.75-89
• /
• 2014

PURPOSES : This study evaluates the economic value of national highway construction projects using Real Option Pricing Models. METHODS : We identified the option premium for uncertainties associated with flexibilities according to the future's change in national highway construction projects. In order to evaluate value of future's underlying asset, we calculated the volatility of the unit price per year for benefit estimation such as VOTS, VOCS, VICS, VOPCS and VONCS that the "Transportation Facility Investment Evaluation Guidelines" presented. RESULTS : We evaluated the option premium of underlying asset through a case study of the actual national highway construction projects using ROPM. And in order to predict the changes in the option value of the future's underlying asset, we evaluated the changes of option premium for future's uncertainties by the defer of the start of construction work, the contract of project scale, and the abandon of project during pre-land compensation stages that were occurred frequently in the highway construction projects. Finally we analyzed the sensitivity of the underlying asset using volatility, risk free rate and expiration date of option. CONCLUSIONS : We concluded that a highway construction project has economic value even though static NPV had a negative(-) value because of the sum of the existing static NPV and the option premium for the future's uncertainties associated with flexibilities.

• Journal of Korean Academy of Nursing
• /
• v.29 no.6
• /
• pp.1355-1364
• /
• 1999

Mother and infant relationship has a great influence on child's developments. In this study, nursing intervention to increase maternal sensitivity to the infant's cues was applied to 25 primiparas (Experimental Group). Mother and infant interacations of these primiparas were compared with those of 25 primiparas (Control Group) who did not receive the nursing intervention. Fifty primiparas and infants were recruited from a university hospital, a general hospital, and an OBGY clinic located in Taegu city. Mother and infant interactions were assessed at 6 weeks after birth using videotapes. Feeding situations were videotaped and two trained observers analyzed the tapes. Data were collected from March 23rd to July 27th of 1998. Mother and infant interactions during feeding were assessed by the response rating scale which was modified by the author based on NCAST feeding scale (Barnard, 1978a) and AMIS scale (Price, 1983). The validity of the modified rating scale was verified by faculty members and researchers who previously had research experience in the area. Cronbach's Alpha of the modified scale for this study was .90. The data was analyzed by SAS program, using wilcoxon rank sums test, chi square test, Fisher's exact test, and ANOVA. Findings were as follows: 1. Mothers in the experimental group were more likely to have higher scores in mother and infant interactions during feeding than mothers in the control group. 2. Mothers in the experimental group showed better sensitivity to infant's signals or cues, provided growth fostering, and had higher responsibility to the infant's distress than mothers in the control group. 3. Infants in the experimental group showed higher clarity of cues and responsibility to the mother's behaviors than infants in the control group. 4. Mothers and infants in the experimental group showed higher synchronic responses than mothers and infants in the control group. In conclusion, this study has shown that the applied nursing intervention promoted mother and infant interaction among primiparas. Therefore, this study suggests that the nursing interventions to increase maternal sensitivity to the infant's cues should be broadly applied to primiparas, which can be beneficial to the social, affective, and cognitive developments of their children.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.11
• /
• pp.17-31
• /
• 2021

Purpose: Despite the fact that face (i.e. Chemyon) is deeply-rooted in Korean culture and significantly affects the behavior of Korean people, the effect of face on leisure consumers' consumption behavior has only reported mixed findings, that is, significant and/or insignificant face effects have been reported. It is necessary to integrate prior research findings, and comprehensively examine the effect of face on leisure consumers' consumption behavior. The purpose of this study was to investigate the effect (i.e. effect size, and moderating variables) of face on leisure consumers' consumption behavior through meta-analysis. Research design, data and methodology: Among 1,019 face-related academic studies, retrieved from the academic research information services (RISS), 34 studies and 300 cases examining the effect of face on leisure consumers' consumption behavior were finally included for meta-analysis. Face measured as face sensitivity and/or a face sensitivity sub-component (shame-consciousness, formality-consciousness, and other-consciousness) were integrated in the meta-analysis. Leisure consumers' consumption behavior was classified as antecedents of purchase (overall conspicuous consumption tendency, overall symbolic consumption tendency, personality, high price, high quality, brand seeking, fashion seeking, enjoyment, other person (interpersonal) consideration, position, reference group, and attitude), purchase (purchase intention, unplanned purchase, purchase, and expenditure), and post-purchase (satisfaction, repurchase, and post-purchase). The data used in the meta-analysis was comprised of correlation coefficients, and the meta-analysis was performed using the R-program. Results: The overall mean effect size of face on leisure consumers' consumption behavior was .248. It was found that the effect size was the largest in the order of shame-consciousness face, formality-consciousness face, and other-consciousness face. Among the types of leisure consumers' consumption behavior categorized as dependent variables, the effect size was found to be largest in the order of position, attitude, reference group, post-purchase behavior, brand seeking, personality, trend seeking, etc. In addition, it was found that the leisure types moderated the effect size of face on leisure consumers' consumption behavior. The effect size was found to be largest in the order of skin diving, baseball, various leisure participation, dance, gambling, golf, etc. Conclusions: Face moderately or significantly influence leisure consumers' consumption behavior.

• Journal of Intelligence and Information Systems
• /
• v.18 no.2
• /
• pp.143-156
• /
• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.

• Journal of Korean Society of Rural Planning
• /
• v.24 no.2
• /
• pp.59-67
• /
• 2018

As high-rise buildings came in, the landscape of rural areas and natural landscapes often got damaged. Therefore, this study aims to prevent this, grasp the extent of the influence of the surrounding landscape, to grasp the range of height that can be permitted and present the direction of landscape management of agriculture and natural landscape. This study tried to grasp the range of height by using price sensitivity analysis method for two apartment and apartment complex which entered DangJin city and SeoSan city. First, in the case of a two apartment, the range of the height allowable section was from the 6th floor to the 11th floor in close range view, and it was a section from the 7th floor to the 12th floor in medium range view. In the case of the apartment complex, the range of the height allowable range was from the 10th floor to the 17th floor in close range view, the 9th floor to the 16th floor in medium range view. The stress index was found to be positive in a two apartment in close range view, and in the apartment complex case. therefore it was better to set it to a lower in the Range of Acceptable Height(RAH). Second, it showed no difference in the sensitivity of landscape to gender. Thirdly, the results of the landscape sensitivity analysis of major and non-major showed the difference in the medium range view picture of the apartment complex. Majors are lower than the point of minimum height(PMinH) than non-Majors. In the case of major, the stress index was 1.4. it turned out that it was better to make a decision closer to point of minimum height (PMinH). In the case of non-major, the stress index was -1.3. it was also able to accept decision close to the point of maximum height (PMaxH). Since the results of the above research gave changes only in the variable of the height of the landscape, we can not grasp the point of interaction with other variables, and future research is considered necessary.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2001.10a
• /
• pp.186-189
• /
• 2001

The main method in micro-etching process, used in manufacturing semiconductors, electronic components, circuits, is Photo Masking method that exposes and develops on the photo-sensitivity solutions or films. This method enables one to process highly precisely, $\pm$0.03 mm in end line location area. But this has limits in a high speed / wide width process, difficulties in endless masking, and the problem of high price. We have developed the direct masking method to make use of Gravure printing, widely used in grocery packing sheet printing. We made cylinder tools to influence the masking quality by laser stream process. We have confirmed that the end line location accuracy in the line width of the product is improved from 0.12 mm to $\pm$0.07 mm level, after etching process.

• Industrial Engineering and Management Systems
• /
• v.8 no.3
• /
• pp.162-170
• /
• 2009

This paper deals with a closed-loop remanufacturing system with one manufacturer and one remanufacturer. The manufacturer sells new products bearing the 'Extended Producer Responsibility (EPR).' It is assumed that the manufacturer's collection rate of used products depends only on the buy-back cost, while that of the remanufacturer depends on the minimum allowed quality level of used products in addition to the buy-back cost. Through the development of mathematical models with the objective function of maximizing profit, we study an efficient operation policy of each party. The decision variables are the unit selling price of new products and remanufactured products, the unit buy-back cost of the used products of the manufacturer and remanufacturer, and the minimum allowed quality level. The validity of the model is examined through numerical examples and sensitivity analysis.

• Journal of Korean Institute of Industrial Engineers
• /
• v.27 no.3
• /
• pp.297-304
• /
• 2001

Procurement decisions for inspection equipment are often made heavily based on the initial purchase price instead of the effects of inspection cost, equipment calibration and utilization over the lifetime. Cost of ownership(COO) models that take into account all of these cost factors together have been developed focusing on a single quality characteristic. In modern manufacturing environment, inspection equipment often can deal with more than one quality characteristic simultaneously. In this paper, we propose the revised COO model for the economic evaluation of the inspection equipment that can accommodate multiple quality characteristics. We also employ an engineering economy model to compare equipments with different life span. Software is developed for handy comparison of the COO of alternative equipments along with sensitivity analysis far the optimal procurement decision.