• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.189-193
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• 2009

As large-scale buildings, skyscrapers, and multi-purpose buildings recently increase in numbers dramatically the internal space of such buildings becomes more and more large and complicated accordingly. The Multi-purpose buildings are increasing rapidly in number, and concerns over the evacuation process in case of fire emergency are also increasing. However, A controller who is responsible for visitor's safety makes a decision about measures for visitor safety in human based decision making process. Many potential accidents that are caused by human error lurk in results of the process. The accidents can be decreased by changing the decision making process from human-based into technology-based. Through this study, the way to improve current disasters prevention system is presented and it can also improve shelter inducement methods effectively. SICS(Spatial Information Control System) which is being studied in other research is used as the tool for improvement.

• Korean Journal of Social Welfare Studies
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• no.36
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• pp.203-225
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• 2008

The purpose of this study is to examine how much the external locus of control, social support, self-esteem, and adoption decision making process influence to teen parents' grief and find out the differences depending on meeting the baby, breast-feeding, anticipating the meeting the baby, ceremony for separation, and exposing their grief by themself or to others. Data was analysed with multiple regression and t-test. With the result of multiple regression analysis, the higher external locus of control, pressure of birthfather, regrets for adoption decision are, the higher grief is, and the lower support of friends and self-esteem are, the higher grief is. And It is estimated high grief statically among the group of breast-feeding, anticipating the baby, no ceremony for separation. But the group exposing their grief by self or to others felt low grief. On the basis of the results, we will find out the meaningful contents for intervention. The staffs of birthmother shelter and social worker don't overlooking the relationship between birthmother and birthfather and enforce the internal locus of control, self-esteem. Above all we will intervene about exploring the adoption decision making and facilitate the exposure of feeling related to surrendered baby(guilt, anxiety, sadness, shame, fear).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.27-30
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• 2018

We design an expert system for tomato smart farm using decision trees and construct a control system with decision structure similar to that of farmers by using the data generated by factors that vary depending on the surrounding environment of each house. At present, Smart farm's control system does not control itself like the way farmers have done so far. Therefore, the dependency of smart farm control system is still not high. Direct intervention by farmers is indispensable for environmental control based on surrounding environment such as sensor value in smart farm. Therefore, we aimed to design a controller that incorporates decision trees into the expert system to make a system similar to the decision making of farmers. Prior to controlling the equipment in the house, it automatically selects the most direct effect among the various environmental factors, and then builds an expert system for complex control by including criteria for decision making by farmers. This study focused on deriving results using data without using heavy tools. Data is coming out of many smart farms at present. We expect this to be a standard for a methodology that allows farmers to access quickly and easily and reduce direct intervention.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1161-1164
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• 1996

In this paper, a parameter optimization technique for a mobile robot navigation is discussed. Authors already have proposed a navigation algorithm for mobile robots with sonar sensors using fuzzy decision making theory. Fuzzy decision making selects the optimal via-point utilizing membership values of each via-point candidate for fuzzy navigation goals. However, to make a robot successfully navigate through an unknown and cluttered environment, one needs to adjust parameters of membership function, thus changing shape of MF, for each fuzzy goal. Furthermore, the change in robot configuration, like change in sensor arrangement or sensing range, invokes another adjusting of MFs. To accomplish an intelligent way to adjust these parameters, we adopted a genetic algorithm, which does not require any formulation of the problem, thus more appropriate for robot navigation. Genetic algorithm generates the fittest parameter set through crossover and mutation operation of its string representation. The fitness of a parameter set is assigned after a simulation run according to its time of travel, accumulated heading angle change and collision. A series of simulations for several different environments is carried out to verify the proposed method. The results show the optimal parameters can be acquired with this method.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.263-277
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• 2016

Recently, 3D printing technology has been considered as a core applicable technology because it brings many improvements such as the development of medical technology, medical customization, and reducing production cost and shortening treatment period. This research suggests a market prediction framework for medical 3D printing business. As an immature market situation, it is important to control some uncertainty for market prediction such as a customers' conversion rate. So we adopt decision making tree (DMT) model which used to choose an optimal decision making among diverse pathway. Among medical industries this paper just focuses on dentistry business. For predicting a 5 year period trend expected market size, we identified some replaceable denture procedure by 3D printing, collected related data, controlled uncertain variables. The result shows that medical 3D printing business could be a market of 28.2 billion won at 1st year and in the end of fifth year it could become on a scale of 61.1 billion won market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.89-95
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• 2014

The purpose of this study was to examine the impact of a career exploration education to job-seeking anxiety, career maturity and Career decision-making in an effort to prove the effectiveness of career exploration education. The subjects in this study were 65 high school student who were users of B high school in the city of Gwang-Ju. An experimental group and a control group were organized with 65 high school student' each, and a career exploration education was conducted in nine sessions, once a week. The major findings of the study were as follows: The experimental group who participated in the career exploration education felt less job-seeking anxiety, improvement in career maturity and Career decision-making. Second, the experimental group who participated in the career exploration education showed. Third, the experimental group who participated in the career exploration education showed improvement in.

• Research in Community and Public Health Nursing
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• v.12 no.1
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• pp.239-246
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• 2001

This paper attempts to identify the occupational stress-related factors among the workers at the manufacturing industry and to provide the basic data concerning development of stress management program focused on the manufacturing industry. The subjects exhibit significantly highest level of 'the characteristics of task and participation in decision making factor'. And the mean score of 'the avoid coping strategies' was higher than 'the control coping strategies'. The main factor that affected the occupational stress responses was 'the physio-environmental factor' and it was explained 15.6% out of the total variance of the stress responses. Also, it would be explained 29% out of the total variance of the stress responses with 'the characteristics of task/participation in decision making factor', sex, social support, and 'extra-organizational stressor'. In conclusion. For developing the stress management program in workplace, 'the physical environmental factor' and 'the characteristics of task and participation in decision making factor' should be considered. Also, It should be identified the direct and indirect paths among factors that significantly related factors to the occupational stress of workers further more.

• Korean Journal of Rural Living Science
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• v.8 no.2
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• pp.173-187
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• 1997

The objectives of this study were to research the power structure of the conjugal decision making process between husbands and wives and how to go about analyzing these processes. Furthermore, to statistically survey the similarities the differences of these between the Japanese and Korean cultures. The subjects of the study were women over the age of 20. The Korean wives resided in Taegu, the Japanese wives in Kobe. The questionnaire destributed to these subjects was bi-lingual in both Korean and Japanese. The data results are as follows : The frequency of negotiation was highest when the wife conceived an idealistic balance in the magnitude of authority arld control between she and her husband. On average, those wives who make decisions their husbands through negotiation do not have as high of a magnitude of control and authority as their husbands. These women idealistically believe that a balance of magnitude and authority exists between them and their husbands. On the other hand, in relationships where decisions are made without negotiation, the magnitude of the wife's authority increases as she idealistically perceives herself as being more powerful than her husband.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.1
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• pp.1196-1204
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• 2001

In this paper, a new architecture of operating software associated with the component-based method is proposed. The proposed architecture comprises 문 execution module and a decision-making module. In order to make effective development and maintenance, the execution module is divided into three components. The components are referred to as Symbol, Gateway, and Control, respectively: The symbol component is for the GUI environments and the standard interfaces; the gateway component is for the network communication and the structure of asynchronous processes; the control component is for the asynchronous processing and machine setting or operations. In order to verify the proposed architecture, and off-line version of operating software is made, and its steps are as follows; I) Make virtual execution modules for the manufacturing devices such as dual-arm robot, handling robot, CNC, and sensor; ii) Make decision-making module; iii) Integrate the modules and GUI using a well-known development tools such as Microsofts Visual Basic; iv) Execute the overall operating software to validate the proposed architecture. The proposed software architecture in this paper has the advantages such as independent development of each module, easy development of network communication, and distributed processing of resources, and so on.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.591-597
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• 2001

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control school is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.