• The Journal of Korean Society for School & Community Health Education
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• v.18 no.3
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• pp.83-95
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• 2017

Objectives: The purpose of the research is understand the priorities of national competency standards vocational key competence factors in nurse who is work in Seoul and Incheon. Methods: The design of this study is descriptive investigation research, and the subjects were 144 nurse. we establish the vocational key competency defined in national competency standards as analytic hierarchy analysis model. The vocational key competency has 10 categories and 34 sub-categories. And based on the survey in nurse, the weight representing relative importance of each factor were calculated by using analytic hierarchy process method. Results: The analytic hierarchy process analysis on 10 categories showed that professional ethics(0.149) was higher than any other categories while that of numeracy(0.040) was at the bottom. And the analysis on sub-categories revealed that the most important factors in each categories included the Ethical community(Professional ethics), Conflict management skills(Interpersonal skills), Problem solving capability(Problem-solving skills), Listening skills(Communication skills), Applicable technical skills(Technical skills), Ability to understand business(Ability to understand organizational structures), Information processing capabilities(Information capacity), Self-management skills(Self-development capability), Ability to manage time(Resource management capabilities), Basic math skills(Numeracy). Conclusions: The results in this study can be used as basic data for the development of liberal arts curriculum for Nursing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1228-1233
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• 2019

Recently, a variety of algorithms using encryption technology have been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve the unlocking problem through human biometrics technology, which has already succeeded in commercializing. These include finger print recognition, face recognition, and iris recognition. In this study, the evaluation items are five algorithms, including finger print recognition, face recognition, iris recognition, pattern recognition, and password input method. Based on the algorithms adopted, the AHP (analytic hierarchy process) technique was used to calculate the preferred priorities for smartphone users. Finger print recognition ( .400) was the top priority for smartphone users. Next, pattern recognition ( .237) was placed in the second priority for smartphone users. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.