• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.34-50
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• 2018

Purpose : This study aimed to clarify attributes, antecedents, and consequences of forensic nursing competency. Method : Rodgers' evolutionary concept analysis was used to analyze twenty nine articles on forensic nursing based on a systematic review of theology, medicine, psychology, and nursing literature. Results : Forensic nursing competency consists of the following seven attributes: awareness of the medico-legal problem, multidisciplinary integrated knowledge, education and training in forensic science, professional career development, evidence based practice in forensic nursing, collaborative forensic nursing with community partner, safety and security effective communication, and supportive relationships. Finally, we could explain the consequences of forensic nursing competency on knowledge construction in nursing, enhancing professional nursing, and establishing a human rights and social justice based approach. The antecedents of forensic nursing competency were forensic science interest, forensic science experience, and nurses' view of person in forensic-works. Conclusion : Based on these results, we recommend the development of a Korean version of a scale to assess forensic nursing competency.

• Language and Information
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• v.10 no.1
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• pp.21-46
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• 2006

This study proposes a Word Sense Disambiguation (WSD) algorithm, based on concept learning with special emphasis on statistically meaningful lowest frequency words. Previous works on WSD typically make use of frequency of collocation and its probability. Such probability based WSD approaches tend to ignore the lowest frequency words which could be meaningful in the context. In this paper, we show an algorithm to extract and make use of the meaningful lowest frequency words in WSD. Learning method is adopted from the Find-Specific algorithm of Mitchell (1997), according to which the search proceeds from the specific predefined hypothetical spaces to the general ones. In our model, this algorithm is used to find contexts with the most specific classifiers and then moves to the more general ones. We build up small seed data and apply those data to the relatively large test data. Following the algorithm in Yarowsky (1995), the classified test data are exhaustively included in the seed data, thus expanding the seed data. However, this might result in lots of noise in the seed data. Thus we introduce the 'maximum a posterior hypothesis' based on the Bayes' assumption to validate the noise status of the new seed data. We use the Naive Bayes Classifier and prove that the application of Find-Specific algorithm enhances the correctness of WSD.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.341-371
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• 2003

The purpose of the study is to design the ontology-based Prescription Knowledge Management System of Oriental Medicine. The study was done with the premise that the effectiveness of the system can be improved by using ontological abstractional structure based on definition of concept, attribution and relations of words related to the specific area. The system is developed with Protege-2000 by using newly developed KPML(Korean Medicine Prescription Markup Language). The results of the study provide the model of Prescription Knowledge Management System and the possibility of implementing XML-based ontology system to the semantic web environment.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.859-863
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• 2007

Most of construction companies recognize importance of immaterial assets in an age of unlimited competition. And construction companies that are concerned about Knowledge Management have used the system of it for critical ability of company. But they used the system for the storage of construction knowledge. So, the present KM system was gradually under operating. To introduce KMS based on Business Process Management(BPM), the purpose of this study is to consider BPM and KMS through the existing researches. we deduce the concept for introducing KMS based on BPM and present the expected effectiveness of it. Finally, we present the prototype of system for KMS based on BPM.

• Structural Engineering and Mechanics
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• v.10 no.4
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• pp.405-426
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• 2000

Two approximate methods based on mechanism analysis suitable for seismic assessment/design of structural concrete are reviewed. The methods involve use of equal energy concept or equal displacement concept along with appropriate patterns of inelastic deformations to relate structure's maximum lateral displacement to member and plastic deformations. One of these methods (Clough's method), defined here as a ductility-based approach, is examined in detail and a modification for its improvement is suggested. The modification is based on estimation of maximum inelastic displacement using inelastic design response spectra (IDRS) as an alternative to using equal energy concept. The IDRS for demand displacement ductilities are developed for a single degree of freedom model subjected to several accelerograms as functions of response modification factor (R), damping ratios, and strain hardening. The suggested revised methodology involves estimation of R as the ratio of elastic strength demand to code level demand, and determination of design base shear using $R_{design}{\leq}R$ and maximum displacement, determination of plastic displacement using IDRS and subsequent local plastic deformations. The methodology is demonstrated for the case of a 10-story precast wall panel building.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.6-11
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• 2018

With the development of the Internet of Things technology, a system that ensures the self-adaptability of an environment that includes various IoT devices is attracting public attention. The rules for determining behavior rules in existing self-adaptation systems are based on the assumption of changes in system members and environment. However, in the IoT environment, flexibility is required to determine the behavior rules of various types of IoT devices that change in real time. In this paper, we propose a rule configuration in a self-adaptive system using SWRL based on OWL ontology. The self-adaptive system using the OWL - SWRL rule configuration has two advantages. The first is based on OWL ontology, so we can define the characteristics and behavior of various types of IoT devices as an integrated concept. The second is to define the concept of a rule as a specific language type, and to add, modify and delete a rule at any time as needed. Through the rule configuration in the adaptive system, we have shown that the rule defined in SWRL can provide flexibility and deeper concept expression function to adaptability to IoT environment.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.1-22
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• 2009

As Internet shopping is getting popular, "trust" has become an important factor for customers to select websites and have repurchase intention. "Trust" has been developed from uni-dimensional concept to multi-dimensional concept in e-Commerce area. From the multi-dimensional viewpoint, this study is to investigate the processes to build trust for online stores. For this purpose, this study classifies the concept of trust into cue-based trust and experience-based trust, and then investigates their relationship in online stores. This study also identifies factors that explain cue-based trust and experience-based trust. The result from questionnaire survey distinguished cue-based trust from experience-based trust and both trust concepts are correlated each other. Second, cue-based trust is explained by perceived size, perceived reputation, and return policy, while experience-based trust is done by navigation, information usefulness and interactivity.

• Journal of Korean Medical classics
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• v.22 no.4
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• pp.199-211
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• 2009

The concept of Myeongmun(命門) could be found in early medical texts such as "Naegyeong (內經)" and "Nan-gyeong(難經)", but the real idea about Myeongmun(命門) had mainly originated from "Nan-gyeong", in successive medical research. The concept of Myeongmun in "Nan-gyeong" could be read as an organ without form, and under the influence of Taoism theory, the concept of Myeongmun could also be understood as Danjeon(丹田). The theory about Danjeon in Taoism theory affected the concept of Myeongmun in medical theory to be closely related with the concept of Hwa(火), especially Sanghwa(相火). Through the theoretical development of Myeongmun and Sanghwa, the concept of Sanghwa could have been understood as a kind of Hwa(火) in human body, and the theoretical development like this had appeared from the time of Geumwon(金元) dynasty, when many medical doctors had experienced the Naedan(內丹) theory of Taoism. Under the influence of Taoism theory, from the time of the Geumwon dynasty to Myeong(明) dynasty, efforts to explain the concept of Myeongmun and Sanghwa in the human body made various meaningful theoretical products, which was not well-known within medical theories of ancient times. We need to recognize the differences in the understanding of the concept of Myeongmun and Sanghwa among each medical doctors, especially among those that showed opposite views. This study is based on the opinion that the difference in the understanding of the concept of Myeongmun and Sang-hwa among each medical doctors had been mainly due to the difference of understanding and analyzing the Taoism theory as the origin of the Myeongmun and Sanghwa theory in medicine. Regarding this, this study will take an overview of the successive development of Myeongmun and Sang-hwa theory in medicine, and will also look into the concept of Danjeon and Sanghwa in Taoism theory, which will allow better understanding of the progress of development of the Myeongmun and Sanghwa theory.

• Journal of Mechanical Science and Technology
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• v.19 no.5
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• pp.1072-1079
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• 2005

Conceptual design is the first step in the overall process of product design. Its intrinsic uncertainty, imprecision, and lack of information lead to the fact that current conceptual design activities in engineering have not been computerized and very few CAD systems are available to support conceptual design. In most of the current intelligent design systems, approach of principle synthesis, such as morphology matrix, bond graphic, or design catalogues, is usually adopted to deal with the concept generation, in which optional concepts are generally combined and enumerated through function analysis. However, as a large number of concepts are generated, it is difficult to evaluate and optimize these design candidates using regular algorithm. It is necessary to develop a new approach or a tool to solve the concept generation. Generally speaking, concept generation is a problem of concept synthesis. In substance, this process of developing design candidate is a combinatorial optimization process, viz., the process of concept generation can be regarded as a solution for a state-place composed of multi-concepts. In this paper, genetic algorithm is utilized as a feasible tool to solve the problem of combinatorial optimization in concept generation, in which the encoding method of morphology matrix based on function analysis is applied, and a sequence of optimal concepts are generated through the search and iterative process which is controlled by genetic operators, including selection, crossover, mutation, and reproduction in GA. Several crucial problems on GA are discussed in this paper, such as the calculation of fitness value and the criteria for heredity termination, which have a heavy effect on selection of better concepts. The feasibility and intellectualization of the proposed approach are demonstrated with an engineering case. In this work concept generation is implemented using GA, which can facilitate not only generating several better concepts, but also selecting the best concept. Thus optimal concepts can be conveniently developed and design efficiency can be greatly improved.

• Journal of the Korean Society of Earth Science Education
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• v.6 no.2
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• pp.145-151
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• 2013

The aim of this research is clarify the relationship between concept understanding degree about the environment and environmental sensitivity and heighten understanding of environmental education target to pre-service elementary teacher. The subjects of this study are science education intensive course 65 students of B educational university. Concept understanding degree about the environment was separately investigated by 'the definition of environmental education', 'Write The positive concept of the natural environment education and briefly describe.''The negative concept of the natural environment education and briefly describe'. Next clarify the relationship between concept understanding degree about the environment and environmental sensitivity target to pre-service elementary teacher. Based on these results, propose an alternative to cultivate pre-service elementary teacher's knowledge about environmental education. Degree of understanding of the concept environmental education research results are as follows. First, Cognition degree about definition of environmental education of pre-service elementary teacher is correctly recognized generally. Second, They do not think deeply about natural environment when it comes to the positive concept of the natural environment of pre-service elementary teacher. Third, They have only a little interest in natural environment when it comes to the negative concept of the natural environment of pre-service elementary teacher. Correlation research results of degree of understanding of the concept of environmental and environmental sensitivity are as follows. High understanding degree of environmental education is high environmental sensitivity. Heighten environmental sensitivity of pre-service elementary teacher will be sustainable environmental education so education is necessary for environmental Sensitivity training.