• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.124-133
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• 2024

This study emphasizes R&D as a management strategy for small and medium-sized manufacturing enterprises (SMEs) to achieve competitive advantage and aims to analyze the impact of innovation resistance, prior knowledge, and technological capability on the intention to adopt R&D. The research targeted 403 decision-makers from SMEs that have not adopted R&D. The analysis revealed the following key findings: As a result, both technical capabilities and prior knowledge had a negative effect on innovation resistance. In addition, technological capabilities and prior knowledge had a positive effect on adoption intention, and innovation resistance had a negative effect on acceptance intention. The indirect effects of technical capabilities and prior knowledge both had a positive impact. In addition, we tested whether dependency on partners and trading organizations that accepted R&D had a moderating effect, but it was not significant. The academic implications of this study provide a detailed analysis of how prior knowledge and technological capability affect innovation resistance in SMEs and verify the intention to adopt R&D. The practical implications suggest a direction for small and medium-sized enterprises to reduce innovation resistance in accepting R&D, and companies need to recognize the suitability of R&D and recognize the importance of technological capabilities and prior knowledge in order to reduce innovation resistance.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.6
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• pp.690-703
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• 2013

This study investigated the dietary behaviors and consumption of convenience foods among salaried men in Busan, Korea, and compared them based on the men's nutritional knowledge level. A questionnaire was developed based on the review of literatures and was distributed to 250 office workers in Busan in February 2013. A total of 224 data were used for the analyses. ${\chi}^2$-tests were employed for the nominal data while Mann-Whitney' U-tests were used for the ordinal data. Leven's tests were first performed before the t-tests for the interval data. Almost 60% of the respondents were female, 50% were in their 30s and 68% lived with other family members. The mean score of the nutritional knowledge test was 13.78 out of 20. Women and those who graduated from college or higher were likely to get a better score than men and those who graduated from high school or below. The respondents were divided into two groups for further analyses: Low (LK) vs. High (HK) knowledge score groups. LKs were more likely to consume 20 convenience foods than HKs. Although the respondents recognized the nutritional disadvantages of consuming convenience foods for an extended period, they continue to eat them because they lack time and further, it is quick and easy to consume convenience foods instead of preparing meals from scratch.

• Korea Science and Art Forum
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• v.30
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• pp.151-161
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• 2017

In the fields of science and engineering, multidisciplinary research is common, and researchers with a diverse range of expertise collaborate to achieve common goals. As the 4th industrial revolution gains currency in society, there is growing demand on talented personnel both with technical knowledge and skills and with communicative skills. That is, future engineers are expected to possess competence in social and artistic skills in addition to specialized knowledge and skills in engineering. In this paper we introduce an emerging field of 3D bioprinting as an exemplary case of interdisciplinary research. We have chosen the case to demonstrate the possibility of cultivating engineers with π-shaped expertise. Building on the concept of T-shaped talent, we define π-shaped expertise as having both technical skills in more than one specialized field and interpersonal/communicative skills. Wtih references to such concepts as trading zones and interactional expertise, we suggest that π-shaped expertise can be cultivated via the creation of multi-level trading zones. Trading zones are referred to as the physical, conceptual, or metaphorical spaces in which experts with different world views trade ideas, objects, and the like. Interactional expertise is cultivated, as interactions between researches are under way, with growing understanding of each other's expertise. Under the support of the university and the government, two researchers with expertise in printing technology and life sciences cooperate to develop a 3D bioprinting system. And the primary investigator of the research laboratory under study has aimed to create multiple dimensions of trading zones where researchers with different educational and cultural backgrounds can exchange ideas and interact with each other. As 3D bioprinting has taken shape, we have found that a new form of expertise, namely π-shaped expertise is formed.

• Journal of Marine Bioscience and Biotechnology
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• v.2 no.2
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• pp.94-101
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• 2007

The status of recently expanded exotic pangasiid catfish Pangasius hypophthalmus, Pangasiidae farming in rural Bangladesh has been studied for finding research needs, through knowing the culture methods, associated activities and problems, to make the farming sustainable. Data were collected using participatory rural appraisal (PRA) tools in nine villages in three upazilas (sub-district) of Mymensingh district. The farmers have not got any formal training and have developed their knowledge on farming the fish through practice over years and sharing of knowledge among fellow farmers. Linked industries, e.g. hatcheries, nurseries, feed mills, trading of feed and fish etc. have developed that created employment opportunities. Most of the farmers produce two crops a year. About 90% of the farmers were found to practice mono culture of pangasiid catfish at high stocking density. The feeding rates started from 10-15% of the body weight per day at fingerling stage that reduced to 4-6% with growth. The average yield was found to be 25 tonslha/year. The livelihood of the farmers has been improved through farming the fish. Women and children were rarely engaged in the activities. The identified major problems in farming the fish were water quality deterioration, high feed costs and declining consumer demand and market price.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.337-341
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• 2000

In recent years, electronic commerce (EC) business has shown a tremendous growth, which put additional cognitive and time-consuming loads on the human users. Intelligent software agents are one key technology to support users doing real EC-business.We propose an Agent-based Business-to-Business(B2B) Marketplace on Internet, where constituent members cooperate or compete in order to get the best possible deals, with the aim of reducing user loads.In case of B2B deals, the good itself shows a complicated behaviour, e.g.price discounts depending o the lot, discounts for cross-buying and so on. It is impractical to concentrate all the knowledge about the goods and the trading strategies at the buyer/seller side. Instead, we include such information in the good itself, which allow us to model the goods as being agents.

• Journal of the Korea Safety Management & Science
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• v.10 no.3
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• pp.193-201
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• 2008

As The development and commercialization of advanced technologies will depend increasingly on efficient technology transfer and technology trading systems and the knowledge economics grows rapidly, the value of intangible assets is more emphasized in business nowadays. Intangible assets include intellectual capital and intellectual property. This requires the development of technology markets or exchanges and hence a reliable technology valuation methodology. Our focus is on the business aspects of technology' contribution and we propose an objective scoring system, which is implemented by ANP, for Technology valuation of enterprise. As a result, This study intends to evaluate the contribution of an individual technology in intangible assets by the Analytic Network Process(ANP).

• Fashion, Industry and Education
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• v.16 no.1
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• pp.56-69
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• 2018

Tuban area in East Java, Indonesia, has a role as one of international ancient trading ports since 11th century. For that role, Tuban has accepted many foreign cultures that are brought by other nations, such as Tionghoa and Gujarat. The improvement of Tuban that involves international relationship clearly influences the forms of tradition and culture that is shown in Tuban nowadays. It is believed that from those tradition and cultures owned by people of Tuban, producing cloth is one of the oldest tradition maintained by the people. Those clothes, as one of traditional products, have unique identity that differ them to other regions. It is because the uniqueness of people's knowledge about cosmology concept, and skill owned by the people that passes through generations. This research explains the condition of traditional cloth tradition of Tuban society with fundamental ground data and explains elements that intervenes the tradition, and forms resulted from it.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.253-257
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• 2002

So far. the common elasticity data of textile fabrics has not been present because the method depends on the knowledge of measurement operators. In this paper, the new measurement equipment using road cel1 is presented to measure the coefficient of textile fabrics in real time. The measurement method is based on the volta among textile fabrics. The textiles with strong elasticity are high voltage produced from others are low. The presented method can be applied to visualize the textile, sew the cloth, control textile fabrics. Also. these measurement datum are used to B2B electronic trading system.

• Journal of Environmental Science International
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• v.30 no.10
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• pp.863-877
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• 2021

While there a growing interest in Voluntary Carbon Disclosure (VCD), comparatively little is discussed whether the improved quality of voluntary carbon disclosure can lead to subsequent changes in a company's carbon reduction performance. Drawing on companies under the Korean Emission Trading Scheme (ETS) with the contents analysis of their sustainable reports, the present research seeks to address the existing knowledge gaps in the current literature on environmental disclosure. Findings empirically show that an increase in the voluntary carbon disclosure score is positively transformed into changes in carbon performance and further develop that the effect of voluntary carbon disclosure on carbon performance varies depending on changes in management capability with the moderation effect.