• Journal of Biosystems Engineering
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• v.31 no.3 s.116
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• pp.194-202
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• 2006

Using a multi-variable linear regression technique and SUR(seemingly unrelated regression) model, the demand functions of tractor, combine and rice transplanter were estimated. The demand was regarded as an annual supply of each machine and modeled as a function of 11 independent variables which reflect the actual farmer's income, actual prices of farm machines, previous supply, previous stock, actual amount of available subsidy, actual amount of available loan, arable land, import of farm machines and rice price. The actual amount of available loan affects most significantly the demand functions. The actual farmer's income, actual farmer's asset, loan coverage, and rice price affect the demand positively while prices of farm machines and import negatively. The annual demands of tractor, combine and rice transplanter estimated using the demand functions were also presented over the next 4 years.

• IE interfaces
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• v.5 no.1
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• pp.47-60
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• 1992

Korean government plans to expand R & D expenditures to 39.8 billion dollars (5 percent of GNP) and to secure 150,000 R & D manpower (30 per 10,000 population) until 2001. This paper deals with industrial research and development manpower and is to forecast the demand of science and technology manpower to keep pace with the economic development goals which includes advancement of science and technology. This is composed of two parts. The first part is the review of the basic concepts of this research while the second one projects and overall future demand of science and technology manpower.

• Land and Housing Review
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• v.6 no.3
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• pp.107-115
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• 2015

Recently one of interest concern in domestic housing market is to reduce the difference of supply and demand. Exact demand estimation by accurate demand region is a essential cue to reduce the gap. This empirical study compared the data of housing subscriber's real address with estimated demand area on household movement, which are applied by advanced studies. This empirical case data is related to 3 housing development districts in metropolitan area. As a result, This study found that the real demand area has a more widened coverage compared with those of household movement one. For to establish exact demand area, we found, more complementary considerations should be taken. Especially some factors such as distance between a project site and downtown of Seoul Metropolitan City, locational competitiveness on main demand and behind demand, and development scale are more considerable variables. In additionally, we found the demand areas are influenced by housing rental types, sizes and the real estate business trends. And also, this study found those factors should be considered with housing price and locational competitiveness.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.67-77
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• 2018

With the types and targets of cyber attacks expanding and with personal information leaks increasing, the quantitative demand for information security specialists has increased. The base for training the workforce has expanded accordingly, but joblessness and job-seeking still coexist. To resolve the gap between labor demand and supply, education and training systems that can supply demand quickly are needed. It takes a considerable amount of time for information security education and new manpower supply through universities and graduate schools to be reflected in the market. However, if information security retraining is carried out in terms of career development of information security and related workforce, the problem of lack of experts could be solved in a relatively short period. This paper investigates and analyzes the information security work of the information security workforce, the degree of skill level, the need for retraining, and the workplace migration experience; it also discusses the direction of career development retraining.

• Land and Housing Review
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• v.5 no.4
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• pp.247-257
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• 2014

This study proposes a new housing need and demand assessment model centering on small-scale housing development projects and happy house development projects that reflected the recent changes in rental and small sized apartment centered public housing policies and development paradigms. The housing need and demand assessment model of public housing development projects consists of quantitative evaluation factors such as potential need indicator and demand pressure indicator and qualitative evaluation factors such as local condition indicator. The potential need indicators of small sized housing development projects are calculated by subtracting the stock of already-supplied constructed rental and purchased rental housings from the potential quantity of need drawn from the small regions such as -eup, -myeon, and -dong. In the potential need indicators of happy house development projects, the potential need is calculated from those who are expected to receive a happy house in the unit of -si, -gun, and -gu. In small-sized housing development projects, demand pressure indictors are the number and the proportion of those who opened a subscription deposit, the number of those who received basic livelihood security and the number of those who were patriots and veterans. The demand pressure indicators of the happy house development projects are stock ratio of small-sized houses, rate of rise in housing rent price, level of housing rent price, and rate of monthly rent house.

• Journal of Agricultural Extension & Community Development
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• v.23 no.1
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• pp.27-37
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• 2016

This paper estimated the demand function of the cuts of pork by using the consumer panel and the weather data from the Korea Meteorological Administration with a log-log model and AIDS model. The results show that the price elasticity of demand for cuts of pork is high in the sequence of arm shoulder, leg, special cuts, tenderloin, blade shoulder. In contrast, spare rib, belly and loin are classified as low price elasticity of demand. The income elasticities of demand for leg and blade shoulder are 11% and 7.6% respectively. The loin is classified as inferior goods, because demand decreases when income increases. The results also demonstrate show that the demand increases highly in the sequence of loin, arm shoulder, spare rib, belly if housewife is older, and the demand of belly increases when family number increases. Belly substitutes every cut except spare rib, and tenderloin substitutes special cuts. Spare rib, on the other hand, does not substitute other cuts. In addition, job status, family member, husband job, purchasing place, consumer characteristic, eating-out times, purchasing time, and weather are statistically significant.

• Archives of design research
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• v.14 no.1
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• pp.93-101
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• 2001

This study suggested how to apply it decision-making of product development rapidly by design evaluation process to objectify and the result to quantify with viewpoint of design evaluation sets to marketability. Coverage of this method limited to the evaluation stage of design concept. The procedure of study, first of all, referred to some type of design evaluation method and their feature. And next, referred to some kinds of demand forecasting for marketing. Above an, this study focused on the method of demand forecasting by buying intentions surveys proper to the marketability evaluation of new product design. On a case study, I had investigated preference survey and buying intentions surveys about the design proposal of "language master audio". I selected the best design proposal through the conjoint analysis and also investigated demand forecasting. First, on the basis of buying intentions surveys, choose population and had produced buying demand, awareness demand, potential demand. I could estimate some profit to take out expense and cost from the buying demand. This estimated profit is marketability judgement data of product design at the design concept stage and can be utilized to measurable data for decision-making of product development. Through the case study, this method could forecast a target demand, and even if it is some difference between real sales volume, but the case study could verified that this method is effective to the evaluation of marketability in case of completely new product got on the typical category and the product category could be set up the population clearly.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.7-14
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• 2014

This study was conducted for the purpose of developing a basic-level TRIZ curriculum to improve students' creativity and problemsolving abilities. Towards this end, literature review, field application study, and a survey on the demand for such curriculum were conducted, as the research methodologies. Specifically, literature review was performed on the TRIZ-related research trends and education trends, and the researchers, who had experience running a TRIZ education program for a few years, ran a basic-level TRIZ for 40 hours as part of the extra-curriculum of A University. An actual survey was also conducted to determine the demand for the development of a basic-level TRIZ curriculum. Of the total of 40 students who were subjected to the curriculum, 31 responded sincerely 1 to the survey. Based on the survey analysis results on the students' recognition of the TRIZ curriculum and of the TRIZ task performance, and on the contents and educational effects of TRIZ, basic guidelines for the development of a basic-level TRIZ curriculum were formulated. Reflecting the results of the survey on the demand for a basic-level TRIZ curriculum, such a curriculum was proposed based on 16-week-long, 3-credit lectures considering the curricula of other subjects in the university.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.767-777
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• 2010

This paper investigates the relationship between the passenger car demand and business activities in the OECD. The positively linear relationships changed suddenly since 1990 and the reason was thought to be the polarized economic development of USA and Japan. The cases of other countries supports this conclusion. According to the conclusion, we modeled and estimated the car demand function of Korea.