• Journal of the Korean Institute of Rural Architecture
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• v.20 no.1
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• pp.1-10
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• 2018

In order to give back-to-farm residents the stable settlement environment in the rural area, the 'community village' is desirable as the village type and its village planning guideline should be supported as well. The purpose of this study was to develop a guideline for the planning of back-to-farm community village in the living and social environmental aspects, based on the comprehensive comparative analysis about items that field survey and literature suggested. The guideline for the living environment was developed for 6 items; village structure(adequate size, lot, outer space for household), village landscape(allocation, space composition), road system and transportation(parking lot in village, placement of bus stops, village trail, public transportation, road and pedestrian system), common living facilities and common space(number, size, location & placement, plan type, planning type of common facilities), transfer space, individual housing(type, size, planning type). The guideline for the social environment was developed for 3 items; village making and establishment(resident participation type, resident participation tool, residents' construction participation) and resident education in the course of planning, resident participation(gathering resident opinion, decision making, composition of construction committee, community newsletter).

• Journal of Korean Home Economics Education Association
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• v.15 no.2
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• pp.21-33
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• 2003

The purpose of this research is to investigate the type of curriculum implementation and the level of teachers´ participation in the decision making process and their satisfaction related to the Technology and Home Economics, in middle school. The survey data were collected by mail from 284 $\ulcorner$Technology and Home Economics$\lrcorner$teachers for the first graders in middle school from July to August. 2001. The results showed that $\ulcorner$Technology and Home Economics$\lrcorner$ were mainly taught by Home Economics teachers alone. The teachers teaching whole subject alone were more anxious about lacks of facilities and confidence of students and parents as well as lacks of skills and knowledge of the non-major part. and student´s interest in the subject than team teaching teachers were. The team teaching teachers were more likely to be participated in the process of deciding curriculum implementation types and to be satisfied with the type of curriculum implementation. The satisfaction with curriculum implementation was mainly affected by the Participation in the decision making process as well as the type of curriculum implementation.

• The Journal of the Acoustical Society of Korea
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• v.17 no.3E
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• pp.12-21
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• 1998

In this paper, we describe the one channel five-way, V/U/M/N/S (Voice/Unvoice/Nasal/Silent), classification algorithm for automatically classifying speech. The decision making process is viewed as a pattern viewed as a pattern recognition problem. Two aspects of the algorithm are developed: feature selection and classifier type. The feature selection procedure is studied for identifying a set of features to make V/U/M/N/S classification. The classifiers used are a vector quantization (VQ), a neural network(NN), and a decision tree method. Actual five sentences spoken by six speakers, three male and three female, are tested with proposed classifiers. From a set of measurement tests, the proposed classifiers show fairly good accuracy for V/U/M/N/S decision.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.4
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• pp.493-502
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• 1998

The purpose of this paper is to propose an interactive method, which is designed to select the optimal preferred alternatives for the MNDM(Multi-N type Decision- Making) problems with the-Nominal-the-best characteristics. The basic idea of the paper is essentially to eliminate inefficient alternatives based on the concept of the lass function and the cutting range instead of using the utility/value function on the group of attributes that can be considered as important by the decision-maker. As a result, the method proposed in the paper for MNDM problems can be significant in that the change of characteristics is transformed into the size of loss, which can be relatively easy to understand by decision-makers.

• Journal of Korea Artificial Intelligence Association
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• v.1 no.2
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• pp.21-25
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• 2023

The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.

• Health Policy and Management
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• v.30 no.3
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• pp.286-300
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• 2020

In 2019, the Seoul metropolitan government established its own 'Seoul-type paid sick leave project'. Although the central government had to introduce such a system, which is also called sickness benefits, it was not implemented. In order to understand the process by which the Seoul government has implemented such a policy, this study used Kingdon's multiple streams framework. As a result, in the problem stream, it was found that the economic burden of sickness has been considered only in terms of medical expenses in the past of Korea. Then Songpa's three women and Middle East respiratory syndrome incidents raised awareness of the necessity of the sickness benefit system in 2014 and 2015. In the political stream, several social affairs such as national health insurance huge surpluses and the 2017 presidential election opened policy window. At that time, Seoul Mayor actively promoted sickness benefits as a policy entrepreneur. In the policy stream, the sickness benefit system has gained new attention through political events. To summary, these three streams flowed separately and then they assembled around huge political affairs. As a result, it was confirmed that Kingdon's model is the most effective theory than any other models in analyzing the health care policy decision process in Korea.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.199-210
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• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• Journal of Hospice and Palliative Care
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• v.15 no.1
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• pp.18-29
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• 2012

Purpose: We analyzed how clinical nurses in Korea perceive terminally ill patients' medical decision-making. Methods: The Q-methodology which analyzes the subjectivity of each item was used. We selected 34 Q-statements among those provided by each of 37 subjects and grouped them into a shape of normal distribution using a 9 point scale. The collected data were analyzed using a QUANL PC program. Results: Four types of perception toward medical decision-making were identified. Type I focuses on patient participation, and Type II emphasizes the role of health professionals. Type III is characterized by an open-minded culture toward death, and Type IV values the role of family members. Conclusion: The results of this study indicate the need for development of a multi-disciplinary curriculum medical decision-making and death for medical and nursing students.

• Journal of Korean Society of Rural Planning
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• v.4 no.1
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• pp.98-107
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• 1998

For efficient development of rural facilities, choice of their optimum locations would be an important issue, however, existing research works concentrated much more an allocation policy of urban industrial complex and public facilities than rural ones. In this study, because agricultural-cum-industrial complex has been the most widely developed representative one of rural facilities, it was selected as a case study facility. As a pre-study to system development, existing governmental location-decision system was checked and interviewing survey carried out to find out on-spot problems. And, being based on literature review and survey analysis results, 4-step optimum locational decision model was developed , formulation of locational goal system, ranking tabulation on components, determination of significance values of components, calculation of component scores. Finally, through the case study works on 3 sites, system applicability was checked, Considering together the simplicity problem of existing guidelines and the interviewing survey results favoring the diversified viewpoints, it would be necessary to develop multifaceted support system for locational decision making. 3-tier classification steps from the higher, middle to lower one were used and their underpinning viewpoints were sorted as on regional development, entrepreneurship, spatial rationality, from which a tentative locational goal system was formulated. Through the expert group checking, final locational goal system was determined having 3 of the higher classification items, 7 of the middle ones, 23 of the lower ogles. For ranking tabulation, 3 types of ranking criteria were arranged which were based on statistical analysis using mean and standard deviation(Type I ), its existence or not 1 good or not(Type E ), and the others(Type E ). From the significance evaluation results, regional development and entrepreneurship aspects were valued much higher than spatial rationality aspect. And, in the middle step, items as spread effects of regional economy, accessibility and social potentialities were highly valued while infrastructural development level and natural condition being low. The application results of the system to 3 case study total. However, the detailed ones differed among study the influencing effects on regional economy, and contrast greater the infrastructural development level. Conclusively, final evaluation values well represented the characteristics of each area. If this system be complemented and applied comprehensively by the successive studies, it would be developed to a general model of locational decision supporting system for rural facilities.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.225-234
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• 2015

This study focused on building the convergence framework of decision-making for camping site selection attributes. The first stage of study is to identify the camping motivations. The camping motivations are composed of 5 factors. The second stage is to identify the camping site selection attributes. They are composed of 4 factors. The relationships between camping site selection attributes and camping motivations are examined through the multi-regression analysis. The camping site selection attributes were significantly influenced by thr type of camping motivation. Lastly, the relationship between camping site selection attributes and camper's satisfaction and behavioral intention are testified. The implications are that camping site operators and developers need to understand the segmented camping motivations and site selection attributes. They could be the guideline of implementing the developing planning strategies of camping site.