• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.17 no.31
• /
• pp.73-80
• /
• 1994

Sequentiality in decision making is an inherent characteristic of the R&D Process, Conceptual changes are noted during the Course of the Project which represent a continuous improvement in the quality of the data available during the various project stages. In this paper, Eight characteristic types of project evaluation models have been developed economic index models, portfolio models, decision theory models, risk analysis models, frontier models, scoring models, profile models and checklists. Each of these will be critically reviewed and appraised.

• Journal of Korean Home Economics Education Association
• /
• v.26 no.1
• /
• pp.119-134
• /
• 2014

This research looks at the effects of portfolio-based lessons to help female middle school students understand and develop their self identity, and to examine the influence of various factors within the school and home environment. The participants were 256 female middle school students in Gangneung-si, Gangwon-do and the analysis was done using the SPSS/WIN 12.0 program. The 6 portfolio-based teaching lessons were made with the aim of developing each subordinate scope in every module for development of self-receptiveness, uniqueness, closeness, tendency of planning the future, and independence. Results of the pre and post-test revealed that scores of self-receptiveness and uniqueness increased. Content analysis revealed that the students pursued their talents and interests through the portfolio activities, and made specific plans for their future careers. In sum, the results demonstrate that the students became specifically and systematically concerned about their future career. The results of hierarchical regression showed that self-receptiveness developed when their parents' attitudes were not rejecting and their peer relationships were positive. Uniqueness was shown to develop as the fostering attitudes of parents were receptive. Closeness developed as fostering attitudes of parents were receptive and as their relationships with peers were positive. The students' tendency to plan the future developed as fostering attitudes of parents were receptive and as their relationships with teachers were good, and independence was shown to develop as the fostering attitudes of parents were not rejecting. Results of a two-year follow-up study appeared that self-receptiveness scores decreased as time passed, so students had highest scores in their first year and lowest scores in their third year. Scores of uniqueness, tendency of planning the future, and identity increased in the students' second year and then remained steadily afterward.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.63-83
• /
• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.71-84
• /
• 2021

Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.

• Journal of Technology Innovation
• /
• v.25 no.2
• /
• pp.57-87
• /
• 2017

This study analyzes whether cooperating with various types of partners contributes to a company's innovation performance as well as the moderating effect of absorptive capacity and appropriability that may affect learning in such relationship. The hypothesis is that cooperating with diverse partners will have a positive effect on the innovation performance since it acquires their knowledge and information. In addition, an analysis is conducted on the moderating effect of absorptive capacity and appropriability on the relationship between alliance portfolio consisting various partners and innovation since absorptive capacity that encourages learning is likely to positively moderate the relationship between partner diversity and innovation while appropriability, the capacity to protect the proprietary technology, is likely to undermine learning from partners. The result of the empirical analysis on Korea's key industries, machinery and automobile, using the 2010 Korea Innovation Survey(KIS) data on manufacturing shows that cooperating with various types of technology partners has a positive effect on innovation performance and moderating effect on appropriability.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.513-521
• /
• 2020

In this paper, we have developed a Fama - French five factor model (FF5 model) from Fama & French (2015) by using concept of time-varying coefficient. For a data set, we have used monthly data form Kenneth R. French home page, it include Japan portfolios (classified by using size and book-to-market) and 5 factors from July 1990 to April 2020. The first analysis, we used Augmented Dickey-Fuller test (ADF test) for the stationary test, from the result, all Japan portfolios and 5 factors are stationary. Next analysis, we estimated a coefficient of Fama - French five factor model by using a generalized additive model with a thin-plate spline to create the time-varying coefficient Fama - French five factor model (TV-FF5 model). The benefit of this study is TV-FF5 model which can capture a different effect at different times of 5 factors but the traditional FF5 model can't do it. From the result, we can show a time-varying coefficient in all factors and in all portfolios, for time-varying coefficients of Rm-Rf, SMB, and HML are significant for all Japan portfolios, time-varying coefficients of RMW are positively significant for SM, and SH portfolio and time-varying coefficients of CMA are significant for SM, SH, and BM portfolio.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.105-125
• /
• 1999

The results of analysis on foreign exchange market, stock and financial market after January of 1997 are that foreign exchange market will be affected by stock and financial market volatility about 1999. This means that stock and financial market are more stable than foreign exchange market. This also is supported by ‘financial market forecast of 1999 in Daewoo Economic Research Institute’. After won/dollar (end of period) will be increasing in 1,430 at second quarter of 1999, this is to downward 1,200 fourth quarter of 1999. This is somewhat based on government's higher exchange rate policy. But, after yield of corporate bond is to 11.0% at first quarter of 1999, this will be stable to 10.2% at fourth quarter. During the first quarter of 1999, yield of corporate bond is to somewhat increasing through sovereign debt and public bonds, technical adjustment of interest rate. After this, yield of corporate bond will be stable according to stability of price, magnification of money supply, restucturing of firms. So, stock market is favorably affected by stability of financial market. But, the pension and fund of USA, i.e., long-term portfolio investment fund, are injected through international firm's management. It is included by openness of audit, fair market about foreign investors. Finally, Moody's strong rating on the won-denominated bonds suggest that Korea's sovereign debt ratings could be restored to an investment grade in the near future. It sequentially includes inflow of foreign portfolio investment fund, fall of won/dollar foreign exchange rate (appreciation of won) and stability of yield of corporate bond.

• Journal of Practical Engineering Education
• /
• v.13 no.3
• /
• pp.507-514
• /
• 2021

K University of engineering college awarded degrees to workers for major of electrical and electronics in the degree-linked work-study parallel system for the first time in February 2020. In this study, the progressed process to the stage of producing group graduation works for graduates and completing the results in an engineering thesis system were presented. The questionnaire consisting of 39 questions was conducted with the subjects, and the results of the responses were compared and analyzed with the results of full-time students in the same major who graduated in the same year. Statistical analysis was attempted by dividing the five representative response questions by group, but the number of people in each group was less than 30, so the normality test of response results and statistical analysis by parametric methods were limited. However, it was judged that a one-sample t-test was possible. Focusing on this method, it was confirmed that there was a difference of 0.8 points or more between the groups on an average 5-point scale in response items related to the number of changes in the subject of the work, the satisfaction among the members, and the effort to guide the work. And the measures to deal with these differences were suggested.

• Journal of Engineering Education Research
• /
• v.18 no.5
• /
• pp.22-31
• /
• 2015

The purpose of this study is to suggest the general education contents for undergraduate students at engineering related departments through need analysis in order to develop creative and integral talents. For this study, the need analysis was conducted by using focus group interviews, Borich's educational need equation and the Locus for Focus Model, and highly ranked priorities on both methods proposed as the highest priorities. As a result, 'drawing up a letter of self-introduction and a portfolio', 'understanding fields', 'understanding careers related to the major', 'presentation skills', 'knowledge for certificated exams', 'method to deduct creative ideas' were high on the list of top five priorities. The selected items by Locus for Focus Model show that undergraduate students at engineering related departments need general education contents associated with career development and communication by priority.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.26 no.7
• /
• pp.30-38
• /
• 2012

Recently, interests in renewable energy have gradually increased. Photovoltaic system of various renewable energy is the most interest in power sources. Nowadays, the market of photovoltaic system is expected to be expanded due to the introduction of RPS(Renewable Portfolio Standard). Floating photovoltaic system is a new power system using the water surface above the dam and reservoir water. Floating photovoltaic system is different from the traditional approach to the development of solar power system causing problems such as environmental degradation. This paper investigates the analysis methods of suitable site for the development of floating photovoltaic system. The A,B,C as the optimal candidates were selected in hap cheon dam. The C is the best suitable site in A,B,C considering the expected power generation. Applied methods have effectively done to develop floated photovoltaic system.