• Journal of Hospice and Palliative Care
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• v.18 no.1
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• pp.42-50
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• 2015

Purpose: This study was aimed to analyze how social workers understand the rights for elderly patient and family caregiver to make end-of-life (EOL) care decisions and their roles the decision making process. Methods: The study employed a quantitative research method of collecting data from a structured questionnaire that was filled out by 334 social workers at long-term care facilities. Data were analyzed by descriptive statistics, mean differences, correlation between variables, using SPSS 20.0 program. Results: The mean score for the understanding the rights to an EOL care decision was $3.46{\pm}0.69$ and of their own roles $3.48{\pm}0.84$. The level of understanding significantly differed by social workers' experience of assisting a process to make an EOL care decision such as advance directives and life sustaining treatment, work experience, and the number of beds. Positive correlation was observed between the level of understanding of the rights for EOL care decisions and of social workers' roles (Pearson r=0.329, P<0.001). Conclusion: This study proposes development of an education program for social workers and devising standards for the EOL care decision making process to protect elderly patients, family caregivers as well as social workers in a long term care facility.

• Journal of Hospice and Palliative Care
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• v.19 no.2
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• pp.109-118
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• 2016

The purpose of this study was to evaluate Korean advance directives (K-AD) by examining the degree of adults' acceptance and reliability of the directive itself. Methods: Survey was performed with 181 adults aged 20 or older who were recruited from three regions. A questionnaire used to examine the participants' acceptance of their K-AD in terms of visual analogue scale score of complexity, difficulty, necessity, satisfaction, recommendation. Then, a retest was carried out by asking participants to write up a K-AD again to confirm the reliability of the directives. Results: On a scale of 100, the average acceptance score was 70 or above, which represents rather high level of acceptance in all five categories. The test-retest reliability kappa values ranged from 0.592 to 0.950, and the conformity degree was moderate or high. Regarding K-AD components such as values, treatment preference, proxy appointment, differences among age groups were observed in each component. Conclusion: The results of this study suggest that K-AD is a feasible instrument to analyze its acceptability and reliability for adult population. K-AD could be utilized to help people make their own decision on their end-of-life care. Further studies are needed to confirm this study results and promote widespread use of K-AD.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.71-88
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• 2017

This paper compared self-validation and regulatory focus between consumers who felt happy vs. sad prior to decision and explored the effects of self-validation on regulatory focus and information distortion. The results of empirical analysis are as follows. First, consumers who felt happy beforehand revealed larger self-validation and stronger promotion focus than those who felt sad in advance. Second, compared to sadness, just-felt happiness was found to have partially positive impact on promotion focus by means of self-validation and exercise entirely positive impact on information distortion through mediation of self-validation. This study has made theoretic contributions by identifying the differences in the extent of self-validation and promotion focus between happiness and sadness as ambient emotion felt prior to the impending decision making as well as by investigating the effects of self-validation upon information distortion.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.4
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• pp.281-298
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• 2015

From the complexity system theory, City is dynamic system which has evolved through evolution and adaptation in initial conditions and different situation. So people's active should involve in decision-making processes in the urban planning. And this suggests that responding to the demands of its citizens are important factors influencing the process of urban planning. The implications of this study are following: using big data helps people understand current social phenomena. Specifically, it figured out latent needs of citizens that traditional survey methods could not before. we can make the most of new opportunities given by digital data and prevent potential dangers in advance. They are complementary and do not replace one another.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.354-361
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• 2020

The term "articles for ship" is a general term for all relevant mechanical accessories (SPARE) and consumable materials (STORE) commonly used in ships. Ships commonly are at sea, so it is difficult to respond rapidly to the demand for them in an emergency situation. In particular, it is more difficult to determine the boarding location of tramper ships as it is more difficult to predict the next sailing route in advance. The purpose of this study was to identify the important factors to be considered in determining the boarding location of tramper ships through a survey of each ship owner and ship management company. This valuable information on the proposed supply procedures for each country and port, would be an efficient way to supply articles for ships.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.18-23
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• 2008

Enterprise's executives who believe methodologies the theories prescribe consideration of consumer as rational and reasonable behavior. However, by recent investigation, consideration of consumer can be defined behavior that is occurred by sensibility. These consideration of consumer affect to a process that purchase a product, consumer's purchase decision process. Consumer make a purchasing decision with sensible criterion, respective of quality after all rather than various rational criterion like price, efficiency and usefulness. Brand image has sensible value to thought in the mind about a product and affect to purchase products. Hence building brand image through positive sensitivity is significant point in strengthening. Research from this point of view makes a content advance with improving product process along storytelling method which kind of affective, sensible communication way as a factor of strengthening brand image.

• Korean Journal of Construction Engineering and Management
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• v.5 no.4 s.20
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• pp.122-129
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• 2004

The purpose of this study is to propose a way that improves the construction management for remodeling of building. The study attempts to deal with the case study for application and suggests some positive and negative lessons. The main contents and results of the study are as follows. (1) Through the repetitive joint meetings among the various participants, decision making for the remodeling process can be speeded up. (2) Clear work order and communication for work scope can be accomplished by using perspective drawing in design phase. (3) Reliable construction planning and scheduling for remodeling of building can be proposed through case study. (4) By a sound survey, conflict elements can be resolved in advance. Also reasonable procurement plan of equipments and multi-skilled labor can be important factors to keep a construction schedule in time. (5) Through the comparison a case project with other sites having a similar work scope, improvement effect in a time and cost aspect was analyzed quantitatively. The study also recommends that, as a future research, the remodeling process model be developed for more general applications in remodeling of building.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.29-40
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• 2011

The objective of this paper is to develop an intelligent decision support system that is able to advise disaster countermeasures and degree of incidents on the basis of the collected and analyzed signs of disasters. The concepts derived from ontology, text mining and case-based reasoning are adapted to design the system. The functions of this system include term-document matrix, frequency normalization, confidency, association rules, and criteria for judgment. The collected qualitative data from signs of new incidents are processed by those functions and are finally compared and reasoned to past similar disaster cases. The system provides the varying degrees of how dangerous the new signs of disasters are and the few countermeasures to the disaster for the manager of disaster management. The system will be helpful for the decision-maker to make a judgment about how much dangerous the signs of disaster are and to carry out specific kinds of countermeasures on the disaster in advance. As a result, the disaster will be prevented.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.1-10
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• 2006

It is widely accepted that the coverage with high user densities can only be achieved with small cell such as micro- and pico-cell. The smaller cell size causes frequent handovers between cells and a decrease in the permissible handover Processing delay. This may result in the handover failure. in addition to the loss of some Packets during the handover. In these cases. re-transmission is needed in order to compensate errors, which triggers a rapid degradation of throughput. In this paper, we propose a new handover scheme in the next generation mobile communication systems, in which the handover setup process is done in advance before a handover request by predicting the handover cell based on mobile terminal's current position and moving direction. Simulation is focused on the handover failure rate and Packet loss rate. The simulation results show that our proposed method provides a better performance than the conventional method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.100-103
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• 2021

Most companies study why employees resign their jobs to prevent the outflow of excellent human resources. To obtain the data needed for the study, employees are interviewed or surveyed before resignation. However, it is difficult to get accurate results because employees do not want to express their opinions that may be disadvantageous to working in a survey. Meanwhile, according to the data released by the Korea Labor Institute, the greater the difference between the minimum level of education required by companies and the level of employees' academic background, the greater the tendency to resign jobs. Therefore, based on these data, in this study, we would like to predict whether employees will leave the company based on data such as major, education level and company type. We generate four kinds of resignation prediction models using Decision Tree, XGBoost, kNN and SVM, and compared their respective performance. As a result, we could identify various factors that were not covered in previous study. It is expected that the resignation prediction model help companies recognize employees who intend to leave the company in advance.