• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.535-544
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• 2013

Prior research on attribution has paid much attention to cognitive processes through which people infer causes. However, surprising omission from this research stream is the role of unconscious priming of different causes in task satisfaction and re-performance intention. This research is conducted to examine how attributing to different causes (chance vs. effort) via priming procedure affects task satisfaction and re-performance intention. To do this, participants were assigned to either chance-priming or effort-priming attribution condition and asked to answer O/X quiz (Exp 1) or multiple choice questions (Exp 2). Then, we provided 'Good' or 'Bad' feedback to participants randomly regardless of their actual task results. Finally, we measured their task satisfaction and re-performance intention. Results indicate that task satisfaction is affected by the valence of feedback they received but re-performance intention is influenced by interaction between attribution priming and the valence of feedback. Specifically, when receiving 'Good' feedback, participants in effort-priming condition have higher re-performance intention than those in chance-priming condition, whereas when receiving 'Bad' feedback, participants in effort-priming condition have lower re-performance intention than those in chance-priming condition. Implications of the findings are discussed in relation to the research for induction and decision making as well as psychology of addiction.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1427-1435
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• 2017

The smart farm is a remarkable system because it utilizes information and communication technologies in agriculture to bring high productivity and excellent qualities of crops. It automatically measures the growth environment of the crops and accumulates huge amounts of environmental information in real time growing in smart farms using multi-variable control of environmental factors. The statistical model using the collected big data will be helpful for decision making in order to control optimal growth environment of crops in smart farms. Using data collected from a smart farm of tomato, we carried out multiple regression analysis to determine the relationship between yield and environmental factors and to predict yield of tomato. In this study, appropriate parameter modification was made for environmental factors considering tomato growth. Using these new factors, we fit the model and derived the optimal environmental factors that affect the yields of tomato. Based on this, we could predict the yields of tomato. It is expected that growth environment can be controlled to improve tomato productivities by using statistical model.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.87-93
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• 2007

Over the years, Advanced Public Transportation System (APTS) has been implemented to manage and operate public transportation system. With the expanding mass spatio-temporal data such as comprehensive spatial information of each individual passenger and public transportation vehicle, it has been required to consolidate and analyze these multiple data sets from various sources. This paper demonstrates how GIS is utilized for the consolidation of massive transit related spatio-temporal information. And it presents effective applications to improve transit planning process and support transit related decision-making activities. GIS based system is used to combine multi-agents' data in the areas of transit operation and individual transit ride and transfer management. Due to the unique comprehensiveness and the level of detail of the data provide by the Seoul Transit system, this GIS based information consolidation is the first in its class. Based on the integrated database, this paper describes the effective and efficient GIS based analysis deployed in a transportation system planning process. The data integration systems and analytic models developed in this paper can be transferred and applied by any municipal governments provided that the appropriate data is available.

• Journal of the Korean Chemical Society
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• v.45 no.5
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• pp.491-499
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• 2001

The purpose of this study was to examine for high school chemistry I textbooks published by the 6th curriculum and some foreign STS programs such as Chemistry in the Community, Science and Technology in Society, Chemistry: The Salter's Approach by analyzing STS contents, students' activity, overall structure of the books and space devoted to STS, and to provide improvement schemes for developing high school chemistry I textbooks to be developed by the 7th curriculum in future. It was found that STS topics in the high school chemistry I textbooks were related only to 'social problems and issues', 'applications of science', 'multiple dimensions of science', and STS contents were presented mostly by narration. Students' activities were limited to discussion and survey, and none of the topics were related to 'career awareness', and 'cooperative work on real problems' in high school chemistry I textbooks. On the contrary, a variety of STS topics and activities such as case study related to local and community, practicing decision-making strategies, role play, practical work career awareness were included in foreign STS programs. Desirable directions for the improvement of STS contents and structure of present high school chemistry I textbooks were proposed in this paper.

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.103-113
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• 2003

This paper shows alternative route search and preference route search for the traffic route search, and proposes the use of the fuzzy non-additive controller by the application of AHP(analytic hierarchy process). It is different from classical route search and notices thinking method of human. Appraisal element, weight of route is extracted from basic of the opinion gathering for the driving expert and example of route model was used for the finding of practice utility. Model evaluation was performed attribute membership function making of estimate element, estimate value setting, weight define by the AHP, non additive presentation of weight according to $\lambda$-fuzzy measure and Choquet fuzzy integral. Finally, alternative route search was possible to real time traffic route search for the well variable traffic environment, and preference route search showed reflection of traffic route search disposition for the driver individual. This paper has five important meaning. (1)The approach is similar to the driver's route selection decision process. (2)The approach is able to control of route appraisal criteria for the multiple attribute. (3)The approach makes subjective judgement objective by a non additive. (4)The approach shows dynamic route search for the alternative route search. (5)The approach is able to consider characteristics of individual drivers attributed for the preference route search.

• Korean Journal of Psychosomatic Medicine
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• v.15 no.1
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• pp.22-28
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• 2007

The pregnancy and postpartum period appear to be a time of heightened vulnerability for the development of major depression in some women. Postpartum depression affects 10% of women within a few weeks immediately postpartum. Postpartum depression is associated with disturbances in the mother-infant relationship, which in turn have an adverse impact on the course of child cognitive and emotional development. Depression during pregnancy is also common, although it has been relatively neglected. Psychopathological symptoms during pregnancy have physiological consequences for the fetus. Understanding the aetiology of perinatal depression requires integrating of multiple psychosocial and biological risk factors. The treatment of depressed pregnant women requires skilled decision making by psychiatrists. Risk-benefit analysis is appropriate method for intervention fur depression in pregnancy. Effective treatments for depression in pregnancy include psychotherapy, antidepressant medication and electroconvulsive therapy. In treatment of postpartum depression, the biological, psychological, and social interventions are included. Prescribing antidepressants(such as fluoxetine), estrogen in severe and chronic cases, and counselling can be effective for improving maternal mood and aspects of infant outcome. Ongoing research is directed to further elucidating neurohormonal and psychosocial contributions to depression during pregnancy or postpartum. Screening for risk factors and symptoms for depression need to be incorporated into antenatal and pediatric clinics.

• Journal of Hospice and Palliative Care
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• v.15 no.4
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• pp.193-204
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• 2012

Purpose: This correlation study was performed to examine Korean adults' perceptions and attitudes towards death with dignity and the withdrawal of life sustaining treatment and to identify factors that predict their attitude towards death with dignity. Methods: The study was conducted using convenience sampling of 291 adults from three towns of a metropolitan city in Korea. Data were collected using structured questionnaires which surveyed people's perception about and attitudes towards withdrawal of life sustaining treatment and scaled their attitude towards death with dignity. Data were analyzed by using descriptive statistics, Pearson correlation coefficients and multiple regression. Results: The attitude towards the withdrawal of life sustaining treatment and death with dignity showed a significant positive correlation (r=0.49, P<0.001). For attitudes towards death with dignity, significant predictors were attitudes towards the withdrawal of life sustaining treatment, age, religion, a proper withdrawal process and advanced medical directives, which explained 49.3% of total variance. Conclusion: The results of this study may contribute to development of a new medical decision-making system including nurses' appropriate roles in the process of withdrawing life sustaining treatment and advanced medical directives.

• Journal of dental hygiene science
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• v.5 no.1
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• pp.1-5
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• 2005

Ethical perception may be thought of as 'professional skills'. Despite this, however, the dental hygiene curriculums tend to disregard ethics education. This paper describes ethical perception in dental hygiene students. Questionnaire surveys were conducted for 374 in dental hygiene students. For statistical analyses of collected data, the multiple linear regression were adopted. Demand as necessity of dental ethics education, clinical practice exercise, practice of work ethics education were found to have significant major effects on basic ethics perception. The major variables which related to the licensure and health care law and teamwork were to knowledge of revised ethics code of dental hygienist and to demand as necessity of dental ethics education. The major variables influencing the professional protocol were to knowledge of revised ethics code of dental hygienist, to demand as necessity of dental ethics education, role model for learning ethical principles. Revised ethics code of dental hygienist was the most important factor affecting professional protocol. The major variables influencing the decision-making were to demand as necessity of dental ethics education, to knowledge of revised ethics code of dental hygienist, clinical practice exercise, role model for learning ethical principles (church). About 88.4% of the students unawared to knowledge of revised ethics code of dental hygienist and perception of professional protocol of the students awared to knowledge of revised ethics code of dental hygienist was $3.44{\pm}0.23$ (p=0.000).

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.176-183
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• 2008

Recently, several large-scale Mega-Projects are being conducted. For these urban revitalization projects which requires many complex functions, the existing project management system based on single project level is limited in application. Therefore, our main objectives of this research are two 1) Develop a brand-new program management system(Prototype Ver 1.0) for mega-projects where various facilities are combined both horizontally and vertically. 2) Develop management strategies(Prototype Ver 1.0) based on the program level that enable the comprehensive management of a multiple various projects. The subtitles of this Research are i-PMIS(Program Management Information System) Development, Standardization & Optimization of Construction Life-Cycle Process, Comprehensive Project Cost & Process Management Technology, Effective and Optimized Integrated Performance Management Technology, and, we suggest to optimize the whole life cycle process, predict and respond to various risks, predict and control the process, the cost and the schedule, achieve maximum return on investment to the participating parties, and provide a brand-new Program-MIS including the visual-based web-portal platform to respond the changing business environments and decision making.

• Journal of Korea Water Resources Association
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• v.46 no.10
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• pp.977-987
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• 2013

This study aims to develop a multiple criteria decision making (MCDM) approach for flood vulnerability assessment which considers uncertainty. The flood vulnerability assessment procedure consists of three steps: (1) use the Delphi process to determine the criteria and their corresponding weights-the adopted criteria represent the social, economic, and environmental circumstances related to floods, (2) construct a fuzzy data matrix for the flood vulnerability criteria using fuzzification and standardization, and (3) set priorities based on the number of assessed vulnerabilities. This study uses a modified fuzzy TOPSIS method based on ${\alpha}$-level sets which considers various uncertainties related to weight derivation and crisp data aggregation. Further, Spearman's rank correlation analysis is used to compare the rankings obtained using the proposed method with those obtained using fuzzy TOPSIS with fuzzy data, TOPSIS, and WSM methods with crisp data. The fuzzy TOPSIS method based on ${\alpha}$-cut level sets is found to have a higher correlation rate than the other methods, and thus, it can reduce the difference of the rankings which uses crisp and fuzzy data. Thus, the proposed flood vulnerability assessment method can effectively support flood management policies.