• Journal of Home Health Care Nursing
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• v.26 no.1
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• pp.5-18
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• 2019

Purpose: Frailty is associated with an increased risk of adverse health outcomes. We aimed to review the relationships between frailty and health outcomes in community-dwelling Korean elderly individuals. Methods: Whittemore and Knafls' framework for conducting integrative reviews was used. PubMed, Cumulative Index to Nursing and Allied Health Literature, and six Korean databases were searched. For analysis, the study included articles written in English and Korean published between January 1960 and June 2018. Of the total 1,488 studies found in the databases, we analyzed 15 studies that met the quality of the evaluation criteria. Results: The prevalence of frailty in Korean elderly individuals ranged from 6.5% to 11.7% when divided into three levels of frailty. The health outcomes assessed in relation to frailty were divided into five domains: quality of life, physical health, psychosocial health, health behavior, and health care quality. Frailty was negatively associated with all five domains. Conclusions: Our study suggested that nurses should be aware of the limitations in the physical and cognitive functions of frail elderly individuals and provide tailored interventions for Korean elderly individuals. Furthermore, a large-scale study is needed to develop the Korean model of the frailty assessment tool and to verify the conceptual model of this study.

• 지역과문화
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• v.6 no.1
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• pp.81-99
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• 2019

Despite the recent social interest, academic discussions about life culture festival in Korea are still not actively discussed. Therefore, on this study we intends to conduct an empirical analysis on the satisfaction, loyalty, and effects of life culture festival by using structural equation model. Before the analysis, we reviewed conceptual definitions about life culture and its previous studies for set up detailed factors to be used for. This study is based on the survey which distributed in 2016 Bucheon City life culture festival "DaRak". With collected survey, we analyzed data by using structural equation model. As a results, festival loyalty shows significant impact on festival effects(0.92). Both program factor(0.59) and operation-information factor(0.29) also shows significant result about festival effects as lower factor of festival satisfaction, but its only when they mediated by festival loyalty factor.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.547-565
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• 2011

Different types of schemes have been used in stage prediction involving conceptual and physical models. Nevertheless, none of these schemes can be considered as a single superior model. To overcome disadvantages of existing physics based rainfall-runoff models for stage predicting because of the complexity of the hydrological process, recently the data-derived models has been widely adopted for predicting flood stage. The objective of this study is to evaluate model performance for stage prediction of the Neuro-Fuzzy and regression analysis stage prediction models in these data-derived methods. The proposed models are applied to the Wangsukcheon in Han river watershed. To evaluate the performance of the proposed models, fours statistical indices were used, namely; Root mean square error(RMSE), Nash Sutcliffe efficiency coefficient(NSEC), mean absolute error(MAE), adjusted coefficient of determination($R^{*2}$). The results show that the Neuro-Fuzzy stage prediction model can carry out the river flood stage prediction more accurately than the regression analysis stage prediction model. This study can greatly contribute to the construction of a high accuracy flood information system that secure lead time in medium and small streams.

• Korean Security Journal
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• no.39
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• pp.63-93
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• 2014

The importance of citizen as a key of community safety has increased, and the legislation to support the citizen's activities is continued. However systematic and detailed action plans are not enough to something. Thus, the purpose of this research is to develop the educational program model for the citizens on patrol for the improvement of practical use. The methods of this research are to make and suggest the educational program for citizens on patrol by literature review and cases analysis of educational program implemented one years ago. The findings are suggested as belows. First, the learners need the contents can be practically used in the field and sufficient time of education. Second, the subgoal to achieve the ultimate goal of education program model should be established as 'customer-centered, field-oriented, competence reinforcement', and driving strategy must be composed of four stages as plan-design-implementation-evaluation. Also, for strategy of each stage, detailed sub-strategies from preparation to execution of education have to be considered. Third, education program must be categorized by basic-intermediate-expert courses depending on the level of learners, and theoretically and practically oriented curriculum subjects are organized in balance by each course.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.111-123
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• 2013

Semantic similarity/relatedness measure between two concepts plays an important role in research on system integration and database integration. Moreover, current research on keyword recommendation or tag clustering strongly depends on this kind of semantic measure. For this reason, many researchers in various fields including computer science and computational linguistics have tried to improve methods to calculating semantic similarity/relatedness measure. This study of similarity between concepts is meant to discover how a computational process can model the action of a human to determine the relationship between two concepts. Most research on calculating semantic similarity usually uses ready-made reference knowledge such as semantic network and dictionary to measure concept similarity. The topological method is used to calculated relatedness or similarity between concepts based on various forms of a semantic network including a hierarchical taxonomy. This approach assumes that the semantic network reflects the human knowledge well. The nodes in a network represent concepts, and way to measure the conceptual similarity between two nodes are also regarded as ways to determine the conceptual similarity of two words(i.e,. two nodes in a network). Topological method can be categorized as node-based or edge-based, which are also called the information content approach and the conceptual distance approach, respectively. The node-based approach is used to calculate similarity between concepts based on how much information the two concepts share in terms of a semantic network or taxonomy while edge-based approach estimates the distance between the nodes that correspond to the concepts being compared. Both of two approaches have assumed that the semantic network is static. That means topological approach has not considered the change of semantic relation between concepts in semantic network. However, as information communication technologies make advantage in sharing knowledge among people, semantic relation between concepts in semantic network may change. To explain the change in semantic relation, we adopt the cognitive semantics. The basic assumption of cognitive semantics is that humans judge the semantic relation based on their cognition and understanding of concepts. This cognition and understanding is called 'World Knowledge.' World knowledge can be categorized as personal knowledge and cultural knowledge. Personal knowledge means the knowledge from personal experience. Everyone can have different Personal Knowledge of same concept. Cultural Knowledge is the knowledge shared by people who are living in the same culture or using the same language. People in the same culture have common understanding of specific concepts. Cultural knowledge can be the starting point of discussion about the change of semantic relation. If the culture shared by people changes for some reasons, the human's cultural knowledge may also change. Today's society and culture are changing at a past face, and the change of cultural knowledge is not negligible issues in the research on semantic relationship between concepts. In this paper, we propose the future directions of research on semantic similarity. In other words, we discuss that how the research on semantic similarity can reflect the change of semantic relation caused by the change of cultural knowledge. We suggest three direction of future research on semantic similarity. First, the research should include the versioning and update methodology for semantic network. Second, semantic network which is dynamically generated can be used for the calculation of semantic similarity between concepts. If the researcher can develop the methodology to extract the semantic network from given knowledge base in real time, this approach can solve many problems related to the change of semantic relation. Third, the statistical approach based on corpus analysis can be an alternative for the method using semantic network. We believe that these proposed research direction can be the milestone of the research on semantic relation.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.8 no.3
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• pp.239-245
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• 2010

There are 11,811 LWR spent fuels stored at reactor sites, as of 2009. Source terms based on reference spent fuel which represents entire spent fuels with bounding values in the aspect of source term has been applied to a design of nuclear installations, instead of those which are generated by weighting respective source term for each spent fuel. Simplified regression models to estimate total decay heat, radioactivity, and ingestion hazard index for spent fuel from Westinghouse-type reactors were developed in this study, because it can be used as a fundamental model for weighting source term for respective spent fuel to exclude conservativeness in source terms. It was found that the estimated source terms agreed with calculated value from ORIGEN-ARP within 5%. It was also found that the conservativeness could be excluded if the weight source terms were used as reference source term in the design. Therefore, it is expected that the developed regression model could be widely used in the conceptual design process of nuclear facilities related with storage and disposal of spent nuclear fuel.

• 한국사회복지학회:학술대회논문집
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• 2003.10a
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• pp.185-216
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• 2003

This study was aimed at investigating important factors influencing career success among regular workers. The current researcher scrutinized the degree to which variables and factors affect the career success and occupational turnover rates of the research participants. At the same tune, two hypothetical path models established by the researcher were examined using linear multiple regression methods and the LISREL. After examining the differences among the factors of career success, a comparison was made between the disabled worker group and the non-disabled worker group. A questionnaire using the 5-point Likert scale was distributed to a group of 374 workers with disabilities and 463 workers without disabilities. For the data analysis purpose, the structural equation model, factor analysis, correlation analysis, and multiple regression analysis were carried out. The results of this study ran be summarized as follows. First, the results of factor analysis showed important categories of conceptual themes of career success. The initial conceptual factor model did not accord with the empirical one. A three-factorial model revealed categories of personal, family, and organizational factor respectively. The personal factor was composed of the self-esteem and self-efficiency. The family factor was consisted of the multi-roles stress and the number of children. Finally, the organizational factor was composed of the capacity for utilizing resources, networking, and the frequency of mentoring. In addition, the total 10 sub areas of career success were divided by two important aspects; the subjective career success and the objective career success. Second, both research participant groups seemed to be influenced by their occupational types. However, all predictive variables excluding the wage rate and the average length of work years had significant impact on job success for the disabled work group, while all the variables excluding the frequency of advice and length of working years had significant impact on job success for the non-disabled worker group. Third, the turnover rate was significantly influenced by the age and the experience of turnover of the research participants. However, the number of co-workers was the strongest predictive variable for the worker group with disabilities, but the occupation choice variable for the worker group without disabilities. For the disabled worker group, the turnover rate was differently influenced by the type of occupation, the length of working years, while multi-role stress and the average working years at the time of turnover for the worker group without disabilities. Fifth, as a result of verifying the hypothetical path model, it showed that the first model was somewhat proper and could predict the career success on both research participant groups. In the second model, the Chi-square, the degree of freedom (($x^2=64.950$, df=61, P=0.341), and the adjusted Goodness of Fit Index (AGFI) were .964, and the Comparative Fit Index (CFI) were .997, and the Root Mean Squared Residual (RMR) was respectively. .038. The model was best fitted and could predict the career success more highly because the goodness of fit index in the whole models was within the allowed range. In conclusion, the following research implications can be suggested. First, the occupational type of research participants was one of the most important variables to predict the career success for both research participant groups. It means that people with disabilities require human development services including education. They need to improve themselves in this knowledge-based society. Furthermore, for maintaining the career success, people with disabilities should be approached by considering the subjective career success aspects including wages and the promotion opportunities than the objective career success aspects.

• Journal of Food Hygiene and Safety
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• v.33 no.4
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• pp.259-265
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• 2018

Since Korean housewives are responsible for the dietary practices of family at home, it is important to know what information will make them to buy safe food. This study was designed to determine the role of perceived threats, behavioral assessments, and self-efficacy factors known to promote healthy behavior in health belief models (HBM) based on food safety awareness and behavior of housewives. This study involved 191 housewives, based on key variables such as perceived severity, perceived susceptibility, perceived benefits, perceived barriers, self-efficacy, and purchase behavior. The results showed that higher levels of education and urbanization increased the threat perception and the likelihood of buying safe food. The correlation analysis showed that increased awareness and knowledge of safe foods and interest in health contributed to higher relative benefit or self-efficiency of food, and thus, ensured food safety. The conceptual model of food safety behavior based on the HBM was verified via structural equation analysis. The findings suggest that a suitable model showcasing knowledge levels and relative benefits resulted in a greater impact on purchasing behavior than perceived threats. This study suggests that it is more effective for housewives to provide more preventive information than risk information to purchase safe food.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.113-129
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• 2009

Abstract Corporate activities are composed of numerous working processes and during the working flow, various business processes are being created and completed simultaneously. Enterprise Resources Planning (ERP) makes the working process simple, yet creates more complicated work structure and therefore, there is an absolute need of efficient management for business processes. The workflow literature has been looking for efficient and effective ways of rediscovering and mining workflow intelligence and knowledge from their enactment histories and event logs. As part of studies to analyze and improve the process, the concepts of 'Process Mining', 'Process re-discovery', 'BPR (Business Process Reengineering)' have appeared and the studies for practical implementation are proactively being done. However, these studies normally follow the approach throughout data warehousing for log data of process instances. It is very hard for these approaches to reflect user's intention to the rediscovering and mining activities. The process instances designed based on the consideration of analysis can make groupings effectively and when the analysis demand of user changes within the analysis domain can also reduce the cost of analysis. Therefore, the thesis proposes a special type of workflow model, which is called a colored workflow model, that is extended from the ICN (information control net) modeling methodology by reinforcing the concept of colored token. The colored tokens represent the conceptual types of constraints and criteria that can be used to classifying and grouping the workflow intelligence and knowledge extracted from the corresponding workflow models' enactment histories and event logs. Through the runtime information of process instances, it makes possible to analyze proactive and user-oriented process with the goal of deriving business knowledge from the beginning of process definition.

• Korean small business review
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• v.42 no.2
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• pp.139-177
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• 2020

The concepts of entrepreneurship are very various. So many researchers are confused or not sure of the concepts of entrepreneurship. Likewise, the concept of entrepreneur are very various, and confused of the concepts of entrepreneur. This study try to set a comprehensive conceptual model of concepts of entrepreneurs. This model suggest a prototype model of entrepreneur with historical context and anthropological approach.