• Child Health Nursing Research
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• v.26 no.2
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• pp.222-237
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• 2020

Purpose: The purpose of this study was to analyze the concept of social support of nursing students using a hybrid model and to derive a definition and attributes of social support through theoretical, fieldwork, and final analysis stages. Methods: Twenty-nine studies were analyzed in the theoretical stage. Seventeen in-depth interviews were conducted with nursing students in the fieldwork stage. In the final analysis stage, the concept of social support was defined and the attributes were derived by integrating the theoretical and fieldwork stages. Results: The attributes of social support of nursing students identified in the final analysis consisted of two dimensions and eight attributes. The two dimensions were structural and functional support. The eight attributes were social network, educational, emotional, informational, economic, positive evaluation, self-esteem support, and support by providing a role model provision. The structural dimension included the social network support attribute. The functional dimension included the remaining seven attributes. Educational support and support by providing of a role model provision were newly derived attributes that reflected specific characteristics of nursing students. Conclusion: Based on the results of this study, we suggest that researchers should attempt to develop a scale to measure the social support of nursing students.

• Journal of Korean Elementary Science Education
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• v.30 no.4
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• pp.415-429
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• 2011

In the elementary science classroom, inquiry-based learning activities are often limited to students' hands-on experiences. As a result, students often overlook core concepts they are supposed to acquire from the inquiry activities and show difficulties in applying those concepts in a real life context. To make a connection between the hands-on activities and the concept leaning, a small-group discussion can be considered. In this study, we designed a team-based learning (TBL) model for the elementary science classroom. We developed teaching and learning materials for the "Comfortable Environments" unit in the 6th grade curriculum based on the TBL model. After appling the model with 32 6th grade students, we compared the TBL participants' level of concept understanding and attitudes toward science before and after the intervention, and also compared them with their counterpart control group who participated in a traditional classroom. The results showed that the level of concept understanding of the TBL participants were higher than that of the control group. However, there was no statistically significant difference found in attitudes toward science between the TBL participants and the control group. In addition, the interviews with the TBL participants showed that they positively perceived the TBL experiences.

• Korean Journal of Hydrosciences
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• v.4
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• pp.33-49
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• 1993

The Purpose of this study is to classify existing hysteresis models and to discuss a possibility of a new type of the hysteresis model. The existing hysteresis models are classified into three types: the interpolation model, the scaling model and the domain model, of which only domain model is to simulate hysteresis curves based on the theoretical approach, It is useful to develop a hysteresis model that requires only one branch of hysteresis curves for the model calibration because obtaining hysteresis curves by experiments is expensive and time-concept by many investigators, however their models are not successful to accurately simulate real data of Rubicon Sandy Loam and Dune Sand. There is a possibility that a new model is based on the dependent domain concept considering the weighting factor, $P_a$($\theta$), which accounts for the pore blockage effect against air entry. Conclusively, a new model where the weighting factor $P_a$($\theta$) in Model III-1 (Mualem, 1984) reduces to a known variable through an appropriate method is an alternative model which required only one branch of main curves for the model calibration.

• The KIPS Transactions:PartB
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• v.19B no.3
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• pp.183-188
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• 2012

One of the major challenge for retrieval performance is the word mismatch between user's queries and documents in information retrieval. To solve the word mismatch problem, we propose a retrieval model based on the degree of association of query concept and word translation probabilities in translation-based model. The word translation probabilities are calculated based on the set of a sentence and its succeeding sentence pair. To validate the proposed method, we experimented on TREC AP test collection. The experimental results show that the proposed model achieved significant improvement over the language model and outperformed translation-based language model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3567-3588
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• 2018

In the Internet of Things (IoT) concept, devices communicate autonomously with applications in the Internet. A significant aspect of IoT that makes it stand apart from present-day networked devices and applications is a) the very large number of devices, produced by diverse makers and used by an even more diverse group of users; b) the applications residing and functioning in what were very private sanctums of life e.g. the car, home, and the people themselves. Since these diverse devices require high-level security, an operational model for an IoT system is required, which has built-in security. We have proposed the societal model as a simple operational model. The basic concept of the model is borrowed from human society - there will be infants, the weak and the handicapped who need to be protected by guardians. This natural security mechanism works very well for IoT networks which seem to have inherently weak security mechanisms. In this paper, we discuss the requirements of the societal model and examine its feasibility by doing a proof-of-concept implementation.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.98-104
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• 2018

Macroscopic accident analyses have been conducted to incorporate transportation safety into long-term transportation planning. In macro-level accident prediction model, exposure variable(e.g. a settled population) have been used as fundamental explanatory variable under the concept that each trip will be subjected to a probable risk of accident. However, a settled population may be embedded error by exclusion of active population concept. The objective of this research study is to develop macro-level accident prediction model using floating population variable(concept of including a settled population and active population) collected from mobile phone data. The concept of accident prediction models is introduced utilizing exposure variable as explanatory variable in a generalized linear regression with assumption of a negative binomial error structure. The goodness of fit of model using floating population variable is compared with that of the each models using population and the number of household variables. Also, log transformation models are additionally developed to improve the goodness of fit. The results show that the log transformation model using floating population variable is useful for capturing the relationships between accident and exposure variable and generally perform better than the models using other existing exposure variables. The developed model using floating population variable can be used to guide transportation safety policy decision makers to allocate resources more efficiently for the regions(or zones) with higher risk and improve urban transportation safety in transportation planning step.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.30 no.6
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• pp.964-973
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• 1997

A tidal prism eutrophication model, an one-dimensional intertidal model, is developed to study water quality conditions at small coastal basins and tidal creeks. The model simulates the physical transport processes using the concept of tidal flushing. The concept is simple and straightforward, and thus is ideal for small coastal basins with complex geometry. The model, having twenty-four state variables in the water column, simulates salinity, temperature, dissolved oxygen, three algal groups, and the cycles of carbon, nitrogen, phosphorus and silica. The model is applied to the Lynnhaven Bay, a small coastal basin of Chesapeake Bay in U.S.A. The model is calibrated using the field data collected in 1994, and then is verified using the independently collected data in 1980. The model overall gives a good reproduction of the field data, partly owing to the data collected from the field surveys specifically designed for the model application. This paper presents the procedure, and the results of the model calibration and verification.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.11-18
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• 2001

As the usage of computer and internet is growing, ICT-based teaching is required in education. So far almost web-based coursewares are learner-based individual teaching. Current learning theories and learning model in WBI are too focusing on courseware or too general to apply in education directly. In this view, learning model with subject-specific search engine might be a solution. In this thesis, we developed systematic concept learning model, promoting traditional concept learning to suitable model in education field and also, we developed CEhunt(Computer Education Hunter), that is computer education search engine providing the teaching materials and supporting the design of teaching and effective concept learning environment to learners. Also, we verified that this model could have a positive effect in systematic concept forming process of learners for subject concerned.

• Journal of Korean Academy of Nursing
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• v.23 no.3
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• pp.369-376
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• 1993

Since nursing has come of age both as a profession and as a scholarly discipline, there has been increasing concern with delineating its theory base. In 1978 Chinn and Jacobs asserted that “the development of theory is the most crucial task facing nursing today.” The basic building blocks of theories are concepts. Concept formation begins in infancy, for concepts help us to categorize and organize our environmental stimuli. Concepts help us to identify how our experiences are similar or equivalent by categorizing all the things that are alike about them. concepts can be primitive, concrete, or abstract. Concept Analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal, linguistic exercise to determine those defining attributes. It encourages communication. Its basic purpose is to distinguish between the defining and irrelevant attributes of a concept similarities. It is a process of determining the differences between concepts and it is useful for several reasons. It is an excellent way to begin examining information in preparation for research or theory construction and results in an operational definition and a list of defining attributes and antecedents. It provides the scientist with an excellent beginning for a new tool, is an excellent way of evaluating an old one and is useful in evaluating existing instruments. The steps of concept analysis are : 1. Select a concept, 2. Determine the aims or purposes of the analysis, 3. Identify all uses of the concept that you can discover, 4. Determine the defining attributes, 5. Construct a model case, 6. Construct borderline, re-lated, contrary, invented, and illegitimate cases, 7. Identify antecedents and consequences, 8. Define empirical referents. In this paper, the concept selected for analysis was Love. The concept of love is of great interest to nursing because loving care is considered vital to the nursing care of patients. The aims of the concept analysis of love were to clarify the meaning of love, to develop an operational definition for it and to contribute to existing nursing theory. Love influences the quality of life which is the goal of nursing according to Parse in her Human Becoming Theory. Lived experiences are the entities for study in Parse's Research Methodology. Human caring, human understanding, and human becoming are the most important issues in lived experiences. In this research, dictionaries and literature from nursing philosophy and other human disciplines were used to identify the concept of love. As many different instances of the concept as could be found were examinned. The model case was a real life example of the use of the concept. Next borderline, related, invented, and contrary cases were constructed for the purpose of providing examples of “not the concept” and for promoting further understanding of the concept being discussed. The defining attributes of the concept of love were concern, responsibility, respect, understanding and dedication. Love was defined as showing concern and understanding. relating with mutual respect and dedicating oneself responsibly to others. Concept analysis is a highly creative activity and may add significant new information to a given area of interest. It is a strategy for developing a concept based on observation or other forms of empirical evidence. The purpose of concept analysis is to generate new ideas. It provides a method of examining data for new insights that contribute to theoretical development. This concept analysis suggests that a nurse’s love for patients is shown in the process of giving oneself in mutual relationships of responsibility and respect and in continuously providing understanding and quality human care for them.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.403-406
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• 1997

This paper presents a Petri net approach for the control and monitoring of discrete event system. The proposed model is fuzzy Petri nets based on the fuzzy logic with Petri nets and the hierarchy concept. Fuzzy Petri nets have been used to model the imprecise situations which can arise within automated manufacturing system, and also the hierarchy concept allow to handle the refinement of places and transition in Petri nets model. These will form the foundation of a simulator-tool with manipulation interface for application of fuzzy Petri nets.