• The Journal of Korean Medicine
• /
• v.35 no.3
• /
• pp.103-115
• /
• 2014

Objectives: The purpose of this survey was to investigate the need for new medical devices based on opinions of members of the Korean medical society. Methods: We distributed two independent questionnaires sequentially over two-week intervals to 16,510 doctors via the Korean Medical Society, and received replies from 888 and 928 doctors, respectively. The survey was carried out through a web-based questionnaire system. The first questionnaire focused on demand for new diagnostic and therapeutic medical devices that are specific for Korean medicine (KM). In contrast, the second questionnaire focused on demand for new hybrid medical devices which are useful both in Western medicine (WM) and KM. Results: In purchase intention of Korean medical devices (KMDs), demand for diagnostic devices was greater than for therapeutic ones. Among diagnostic devices, the purchase intention of 'imaging devices' ranked the highest and was followed by 'musculoskeletal diagnostic devices'. Among therapeutic KMDs, the purchase intention of 'musculoskeletal treatment devices' ranked the highest, followed by 'cranial nerve rehabilitation devices'. In the purchase intention of hybrid medical devices that can be used both in WM and KM, 'ultrasonic-based medical device' ranked the highest, followed by 'MRI-based medical device'. Conclusions: There is increasing demand for clinically useful medical devices among Korean medical doctors. Within demand for new devices, hybrid devices that can be used in both WM and KM were most strongly desired. This survey will be useful in establishing strategic plans for the development of medical devices in KM. Keywords: Korean medicine, medical device, demand survey, questionnaire.

• Journal of Preventive Medicine and Public Health
• /
• v.36 no.1
• /
• pp.39-46
• /
• 2003

Objectives : To investigate the availability and demand for overall cancer-related information, and to establish a basic plan for the construction of a cancer database and information system based on the research results from Korea. Methods : Postal and telephone surveys were carried out, between August 2001 and November 2001, of 323 affiliated faculty professors from medical universities and colleges in Korea. The data were analyzed with descriptive statistical methods, with regard to the present status and demand for health and cancer-related information. Results : Most (over 80%) subjects studied utilized the health-related information provided on Internet website from foreign countries, such as Medline, but similar comprehensive information system lacked in Korea. The construction of a cancer-related database of domestic research results was revealed to be in a great demand. Information on registration and statistics (52.8%), study results (48.5%) and study resources (37.4%) were the major ingredients required in the database. In constructing a database of the cancer-related research results, a full-text service, continuous updating of data, and the development of standardized user-friendly searching tool were regarded as the necessary components. The formulation of an information sharing system, regarding cancer-related clinical trials, was investigated as being quite feasible. Conclusion : This study demonstrated the great importance of cancer information systems, and much demand for an available cancer-related database based on Korean research results.

• Journal of Electrical Engineering and Technology
• /
• v.10 no.3
• /
• pp.1304-1310
• /
• 2015

In remote islands, due to expense of existing generation systems, installation of photovoltaic cells (PVs) and wind turbines has a chance of reducing generation costs. However, in island power systems, even short-term power fluctuations change the frequency of grids because of their small inertia constant. In order to compensate power fluctuations, the authors proposed the power consumption control of pumps which send water to tanks. The power control doesn’t affect water users’ convenience as long as tanks hold water. Based on experimental characteristics of a pump system, this paper shows methods to determine reference power consumption of the system with compensation for short-term PV fluctuations while satisfying water demand. One method uses a PI controller and the other method calculates reference power consumption from water flow reference. Simulations with a PV and a pump system are carried out to find optimum parameters and to compare the methods. Results show that both PI control method and water flow calculation method are useful for satisfying the water demand constraint. The water demand constraint has a little impact to suppression of the short-term power fluctuation in this condition.

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

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.658-663
• /
• 2005

This study presents the empirical results of comparing several demand forecasting methods for Supply Chain Management(SCM). Adaptive exponential smoothing using change detection statistics (Jun) is compared with Trigg and Leach's adaptive methods and SAS time series forecasting systems using weekly SCM demand data. The results show that Jun's method is superior to others in terms of one-step-ahead forecast error and eight-step-ahead forecast error. Based on the results, we conclude that the forecasting performance of SCM solution can be improved by the proposed adaptive forecasting method.

• IE interfaces
• /
• v.18 no.3
• /
• pp.343-349
• /
• 2005

This study presents the empirical results of comparing several demand forecasting methods for Supply Chain Management(SCM). Adaptive exponential smoothing using change detection statistics (Jun) is compared with Trigg and Leach's adaptive methods and SAS time series forecasting systems using weekly SCM demand data. The results show that Jun's method is superior to others in terms of one-step-ahead forecast error and eight-step-ahead forecast error. Based on the results, we conclude that the forecasting performance of SCM solution can be improved by the proposed adaptive forecasting method.

• Proceedings of the Korean Association for Survey Research Conference
• /
• 2001.04a
• /
• pp.61-81
• /
• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches, research methods used in collecting government statistics have not been discussed often. In 1998, we reviewed the survey questionnaire, data collecting methods and procedures of one government statistics, the Labor Demand Survey. Based on the pilot study, we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand Survey,, detected the problems and issues in the survey, suggestions for the improvement of the survey, and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper, and will be studied in the near future when the data become available.

• Survey Research
• /
• v.2 no.2
• /
• pp.61-81
• /
• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches. research methods used in collecting government statistics have not been discussed often. In 1998. we reviewed the survey questionnaire. data collecting methods and procedures of one government statistics. the Labor Demand Survey. Based on the pilot study. we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand survey. detected the problems and issues in the survey. suggestions for the improvement of the survey. and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper. and will be studied in the near future when the data become available.

• IE interfaces
• /
• v.24 no.4
• /
• pp.351-361
• /
• 2011

Forecasting of electricity demand have difficulty in adapting to abrupt weather changes along with a radical shift in major regional and global climates. This has lead to increasing attention to research on the immediate and accurate forecasting model. Technically, this implies that a model requires only a few input variables all of which are easily obtainable, and its predictive performance is comparable with other competing models. To meet the ends, this paper presents an energy demand forecasting model that uses the variable selection or extraction methods of data mining to select only relevant input variables, and employs support vector regression method for accurate prediction. Also, it proposes a novel performance measure for time-series prediction, shift index, followed by description on preprocessing procedure. A comparative evaluation of the proposed method with other representative data mining models such as an auto-regression model, an artificial neural network model, an ordinary support vector regression model was carried out for obtaining the forecast of monthly electricity demand from 2000 to 2008 based on data provided by Korea Energy Economics Institute. Among the models tested, the proposed method was shown promising results than others.

• Health Policy and Management
• /
• v.9 no.3
• /
• pp.33-52
• /
• 1999

The purpose of this study is to project the supply and demand for nurses till the year 2012 and to make recommendations for establishment of proper policies regarding them. To predict the supply of nurses. a baseline projection and demographic methods were employed. The derivative demand was used to forecast the demand of nurses. The results of this study provide us with valuable information on nursing manpower planning for the 21th century. Specifically. results indicate that there will be an oversupply of nurses in the near future based on the current productivity. Based on the medical law. there will be an undersupply of nurses till 2002 but an oversupply after that. Thus. the active supply of nurses must be decreased. One way to achieve this would be decreasing the size of training and education. Thus. we recommend that the number of entrances to 4 year programs will be reduced 20% in 2004. and a reduction of 20% by 2005 in 3 year programs. The results of this study suggest the following: First. a manpower bank for nurses who are trying to reenter the market must be established. Second, improvement of education and retraining is needed for the quality control of nurses. Further studies should take into consideration the above factors.