• Journal of Biomedical Engineering Research
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• v.19 no.5
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• pp.477-486
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• 1998

In this paper, we implemented the urine analysis system capable of measuring a qualitative and semi-quantitative and assay using strip. The analysis algorithm of urine analysis was adopted a fuzzy logic-based classifiers that was robust to external error factors such as temperature and electric power noises. The spectroscopic properties of 9 pads In a strip were studied to developing the urine analysis system was designed for robustnesss and stability. The urine analysis system was consisted of hardware and software. The hardware of the urine analysis system was based on one-chip microprocessor, and Its peripherals which composed of optic modulo, tray control, preamplifier, communication with PC, thermal printer and operating status indicator. The software of the urine analysis system was composed of system program and classification program. The system program did duty fort system control, data acquisition and data analysis. The classification program was composed of fuzzy inference engine and membership function generator. The membership function generator made triangular membership functions by statical method for quality control. Resulted data was transferred through serial cable to PC. The transferred data was arranged and saved be data acquisition program coded by C+ + language. The precision of urine analysis system and the stability of fuzzy classifier were evaluated by testing the standard urine samples. Experimental results showed a good stability states and a exact classification.

• 한국신재생에너지학회:학술대회논문집
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• 2006.06a
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• pp.277-280
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• 2006

Using yaw system, Wind turbine can face the wind to make it's electricity generating maximum and to make it's fatigue load minimum. So, in wind turbine design process, selecting optimum yaw system is very important work. In this paper, the yaw moments on yaw bearing, yaw drive and yaw brake were calculated. and From the result, the duty cycle was obtained. At last, using this duty cycle, optimum yaw system is selected.

• Information Systems Review
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• v.8 no.3
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• pp.21-38
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• 2006

The major objectives of this study are to identify the key organizational factors that facilitate and/or inhibit the IS outsourcing in Korean hospitals, and to analyze the differences between adopter & non-adopters and successful ones and not-successful ones. In order to achieve the research objectives, we derived comprehensive lists of potential facilitators and inhibitors from the past research, and conducted a field survey on 135 hospitals in metropolitan area. The analysis results suggest that organizational, financial and strategic factors are the most important facilitators, while organizational, psychological, vendor-related and environmental factors are the most important inhibitors. In addition, it was found that factors differentiating adopters and non-adopters are organizational factor(facilitator) and environmental factor(inhibitor) while strategic factor is a differentiating one between successful hospitals and unsuccessful ones.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.68-72
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• 2008

최근 들어서 병원에서도 일반 기업에서와 같이 CRM시스템의 구축 및 운용 사례가 늘고 있다. 이런 환경에서 병원의 CRM 시스템의 구축 및 운용 현황에 관심을 갖는 것은 당연하다 할 것이다. 본 논문에서는 이와 같이 구축 운영 중인 병원 CRM 시스템의 성과를 측정하기 위한 분석 방법에 대해서 연구하였다. 이를 위해 선행 연구를 통한 CRM의 성공 요인을 도출하고, 실증분석을 통해 요인 분석의 타당성을 분석하였다. 요인 분석 결과 도출된 요인의 중요성의 측정을 위해서는 요인 간 중요도를 측정할 수 있는 AHP 기법을 적용하였다. 이는 요인의 분류 외에는 측정변수의 가중치 등의 주요 정보를 제공하지 못한다는 요인 분석방법론의 단점을 보완하기 위함이다. 결과적으로 본 연구를 통해서 병원의 CRM시스템의 운용 성과를 측정하기 위한 주요요인 도출과 가중치 분석을 통해 병원의 고객관리시스템의 운용 성과를 합리적으로 측정할 수 있는 지표를 제공하였다.

• The Journal of Information Systems
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• v.8 no.2
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• pp.49-67
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• 1999

본 연구는 객체지향 기술채택에 영향을 미치는 요인을 조사했다. 한가지의 중요한 연구 의문을 제시했다: 무엇이 객체지향 기술의 채택에 중요하게 영향을 미치는가? 본 연구는 객체지향 기술의 실제 사용정도에 영향을 주는 독립변수를 연구했다. 그 독립변수는 다음과 같은 세 가지 범주로 분류된다: (1) 개인적 요인: 구조지향 방법론을 사용한 경험, 새로운 기술에 대한 개방 정도: (2) 관리적 요인: 경영층의 지원 정도, 훈련, (3) 조직적/환경 요인: 부서와 조직에 있는 정보시스템 전문가의 수, 기술 챔피언에 대한 접근 용이성, 객체지향 기술을 지원하는 소프트웨어 및 하드웨어 환경. 설문지를 이용하여 위에서 언급된 독립변수들이 하나의 독립변수, 즉 객체지향 기술의 실제 사용정도에 미치는 영향을 조사하였다. 그 구조화된 설문지가 미국에 있는 DPMA(Data Processing Management Association)에 소속된 정보시스템 전문가에게 돌려졌다. 본 연구는 기존의 연구 결과와 일치하는 중요한 내용을 보여 주었다. 새로운 기술에 대한 개인의 개방성, 경영층의 지원정도, 훈련, 그리고 하드웨어 및 소프트웨어 환경은 객체지향 기술의 사용과 밀접한 관련이 있었다. 본 연구는 또 조직에서의 객체지향기술의 초기 채택을 이해하는 실증적인 근거를 제시하였다.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.186-191
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• 2000

요에 함유된 여러 성분들의 영향에 의해 다양한 정적 특성을 나타내는 요분석용 스트립의 화학적인 변화 양상을 요분석 시스템을 사용하여 요분석용 스트립의 각 항목별 각 등급별을 정성적 및 반정량적 분석을 하기 위하여 퍼지 알고리듬을 제안하고, 퍼지 분류기를 구현한 후 구현된 분류기를 검증하기 위하여 시뮬레이션 하였다. 이를 위하여 다음과 같은 연구를 수행하였다. 표준시료를 사용하여 요분석용 스트립의 분광학적 분석에 의한 퍼지 입력 변수, 퍼지 멤버쉽함수 및 퍼지규칙을 생성하였다. 그리고 구현된 분류기를 사용하여 각 항목별과 각 등급별로 평가하였다. 평가 결과 요분석용 스트립의 항목별 음성과 양성의 판별에서는 우수한 결과가 나왔으나, 정량적 분석을 위한 각 항목별 등급의 분류에서는 측정값의 오차로 인해 최고 8%의 오차가 발생하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.5
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• pp.487-495
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• 2012

The yaw control, a major part of the wind turbine, is closely related to the efficiency of electric power production and the mechanical load. The yaw error, which results from the nacelle not being appropriately aligned in the wind direction, not only decreases the power output but also reduces the lifetime of the wind turbine as a result of large fatigue loads. However, the yawing rate cannot be increased indefinitely because of constraints on mechanical loads. This paper investigates the characteristics of an active yaw control system, the basic principle of the system, and mechanical loads around the yaw axis during yawing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1319-1325
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• 2006

Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.

• Journal of Biomedical Engineering Research
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• v.24 no.3
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• pp.183-192
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• 2003

A transformation methode of the chromaticity coordinates was proposed to calibrate the measured data obtained by a urine analysis system which implemented in our previous study. Generally. the reacted color of a reagent strip by urine analysis system often exhibit the color distortions due to nonlinear characteristics of the various devices that is the optic module mechanism. hardware, and surround circumstance. A color correction method for minimizing the color distortion play a few role in maintaining high accuracy and reproduction of the urine analysis system. In this work, we used the compensation method such as the shading correction, the characteristic curve extraction of RGB color by means of third order spline interpolation, and linear transformation using a reference color. In addition, 1931 CIE XYZ color space was used to compensate the color of the measured data by a standard reference system as colorimeter. A compensation matrix was obtained so that the output values of the urine analysis system is nearly equal to that of a standard reference system for identical color sample. Color correction obtained by a urine analysis system which implemented in our previous study exhibited a good color accuracy when it was compared with the reference data. Observed result from an experiments on ten items or a urinalysis strip that color difference or between two urine analysis system was 1.28.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.1-8
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• 2022

This study was attempted to determine the satisfaction of nursing students' online classes in the situation of coronavirus infection (COVID-19) and to identify factors affect it. This study conducted a survey on nursing students 220 in Daegu-Gyeongbuk area for a month in April 2021. The collected data were subjected to t-test, ANOVA, correlation, and multiple regression analysis. As a result of analyzing the factors affecting the online class satisfaction of nursing students, the learner factor (β=.29, p<.001) and the system factor (β=.51, p<.001) had a statistically significant effect, the variable with the greatest relative influence was the system factor. As online classes are expected to expand even after the end of COVID-19, for a change to education that can increase the satisfaction of learners, through the development of an online operating system suitable for learning and establishing a foundation for learners to learn independently A paradigm shift in nursing education is necessary.