• 한국경영과학회지
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• 제41권2호
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• pp.17-33
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• 2016

Clustering is one of the leading methods to analyze big data and is used in many different fields. This study deals with Clustering Validity Index (CVI) to verify the effectiveness of clustering results. We compare the performance of CVIs with business applications of various field. In this study, the used CVIs for comparing performance are DU, CH, DB, SVDU, SVCH, and SVDB. The first three CVIs are well-known ones in the existing research and the last three CVIs are based on support vector data description. It has been verified with outstanding performance and qualified as the application ability of CVIs based on support vector data description.

• 산업경영시스템학회지
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• 제35권3호
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• pp.1-6
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• 2012

This paper aims to suggest a validity analysis model that would be helpful for local governments considering u-City construction projects and a methodology for them to promote build-transfer-lease (BTL) u-City projects. This methodology mainly uses quantitative and qualitative analysis based on the Value For Money (VFM) designed by the Public and Private Infrastructure Investment Management Center (PIMAC) under the Korea Development Institute (KDI). BTL projects requires a large amount of capital and involves long-term investments. Therefore, multi-faceted validity analysis is required for the success of a project. This study will enumerate various factors to be considered in the pre-analysis of validity of BTL projects and suggest a methodology to verify them. A case study of a BTL project promoted by Ansan City assisted in designing this study in detail.

• 가정∙방문간호학회지
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• 제30권1호
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• pp.37-47
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• 2023

Purpose: This study aimed to develop an instrument that measured adherence to self-management among patients with hypertension, and to verify the validity and reliability of the developed instrument. Methods: The 34 indicators that underwent the content validity test were provided to 202 subjects for investigation The collected data were analyzed using SPSS Ver. 22.0 and Amos Ver. 25.0. Results: Five factors, 'interaction,' 'lifestyle change,' 'continuing motivation,' 'medical care', and 'weight control' were extracted, and the total cumulative variance was shown to be 61.75%. The test statistic of the regression coefficient was statistically significant according to the confirmatory factor analysis. Conclusion: It is suggested that more research is needed to generalize the instrument to suit more candidates, while continuing to refine the reliability and validity of the instrument.

• 임상간호연구
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• 제23권3호
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• pp.281-292
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• 2017

Purpose: The purpose of this study was to verify the validity and applicability of the Clinical Ladder System(CLS) Model for nurses and to suggest a model for nurses in general hospitals as well as tertiary hospitals. Methods: After refining questionnaires through focus group participation, a survey was carried out with 50 nurse managers and 500 staff nurses from 6 tertiary hospitals and 4 general hospitals. S-CVI and i-CVI for validity and applicability were calculated. Differences in validity and applicability by the type of hospitals and characteristics of respondents were analyzed using t-test and ANOVA. Results: S-CVI for validity and applicability of the CLS model were over 0.8 in two types of hospitals and the validity and applicability of the CLS model were confirmed. No differences were found in the total score for validity between the 2 types of hospitals, but in applicability, general hospitals had significantly lower applicability than tertiary hospitals. Some items showed difference according to characteristics of the respondents. CLS models were postulated based on the study results. Conclusion: The CLS model refined through this study can be used for nurses. In application, modifications are needed according to the conditions of each hospital.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.1-7
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• 1993

In this paper we propose the new adaptive control algorithm by using S-G algorithm based on the error equations derived by Slotine. We verify the validity of the proposed controller and convergence of three type parameter estimation law based on S-G algorithm from the computer simulation.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.720-725
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• 2000

This paper persents the characteristic analysis method of slotless-type Permanent Magnet Synchronous Motor using the analytical method. The results of analysis are compered with FEM to verify the validity of the proposed method.

• 유통과학연구
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• 제13권8호
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• pp.49-59
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• 2015

Purpose - This purpose of this research is to verify the influence of the care workers' environment on their job satisfaction and on their voluntary behavior. Research design, data, and methodology - Data were collected from care workers at elderly medical and home care facilities in Korea in Seoul and Kyung-ki. Of 367 total respondents, 285 responses were used. This study performed exploratory factor analysis in order to verify the validity and credibility of the data. Regression analysis was conducted to verify the influence of the working environment, which encompasses the worker's relationship with the agency and with the elderly, on job satisfaction. Results - The hypothesis results were: First, from analyzing the influence of the working environment on the worker's job satisfaction, both relationship with the agency (p<.001) and relationship with the elderly (p<.05) positively affect job satisfaction; second, the exploratory analysis verifies the influence or the working environment on job satisfaction. Conclusions - The results indicate that the relationship with the agency (p<.001) and relationship with the elderly (p<.001) both positively affect the voluntary behavior of the workers.

• 임상간호연구
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• 제19권1호
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• pp.33-44
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• 2013

Purpose: This study was done to develop a valid and reliable Classification System for Critical Care Nursing (CSCCN) to be used in Intensive Care Units (ICUs). Methods: Head nurses and staff nurses of 17 ICUs in 6 hospitals classified 307 patients to verify interrater reliability. To verify construct validity, the staff nurses classified 404 patients according to CSCCN comparing difference in medical department and type of stay in ICU. For conversion index, 78 patients from 4 ICUs of 'S' hospital were classified and nursing time was measured by 107 nurses and 18 nurse aids using stopwatches. Results: The developed CSCCN has 11 categories, 76 nursing activities and 101 criteria. The reliability was verified as having high agreement (r=.946). The construct validity was verified comparing differences in medical department and type of stay in ICU. According to scores, four groups in the CSCCN classification were identified. According to the conversion index, one score on the CSCCN means 7.2 minutes of nursing time. Conclusion: CSCCN can be used to measure diverse and complex nursing demands including psycho-social aspects of ICU patients and convert nursing demands to numbers.

• 임상간호연구
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• 제21권3호
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• pp.401-411
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• 2015

Purpose: This study was performed to develop a valid and reliable Korean Patient Classification System for Critical Care Nurses (KPCSC). Methods: Tertiary and general hospitals with various levels of ICU nurse staffing were included. To verify interrater reliability, data collectors and staff nurses of 15 ICUs in 11 hospitals classified 262 patients. To verify construct validity, the staff nurses classified 457 patients according to KPCSC comparing difference by medical department and type of stay in ICU. For conversion index, 195 patients from 10 ICUs in 7 hospitals were classified and nursing time was measured by 174 nurses, 7 head nurses, 18 charge nurses, 37 nurse aids and 1 secretary. Results: The developed KPCSC has 11 categories, 82 nursing activities and 115 criterias. Reliability was found to have high agreement (r=.96). Construct validity was verified by comparing differences in medical department and type of stay in ICU. According to scores, four groups in the KPCSC were identified. One score on the KPCSC indicates 6.12 minutes of nursing time. Conclusion: The findings show that the KPCSC can be used to measure new and complex nursing demands including rehabilitation and the safety of ICU patients.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.204-209
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• 2002

The interest of data mining in artificial intelligence with fuzzy logic has been increased. Data mining is a process of extracting desirable knowledge and interesting pattern ken large data set. Because of expansion of WWW, web data is more and more huge. Besides mining web contents and web structures, another important task for web mining is web usage mining which mines web log data to discover user access pattern. The goal of web usage mining in this paper is to find interesting user pattern in the web with user feedback. It is very important to find user's characteristic fer e-business environment. In Customer Relationship Management, recommending product and sending e-mail to user by extracted users characteristics are needed. Using our method, we extract user profile from the result of web usage mining. In this research, we concentrate on finding association rules and verify validity of them. The proposed procedure can integrate fuzzy set concept and association rule. Fuzzy association rule uses given server log file and performs several preprocessing tasks. Extracted transaction files are used to find rules by fuzzy web usage mining. To verify the validity of user's feedback, the web log data from our laboratory web server.