• Title/Summary/Keyword: correlation measure

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Availability of Functional Reach Test for Balance Evaluation of the Elderly Through Sensory Organization Test (감각 조직화 검사를 통한 노인의 균형평가를 위한 기능적 뻗기 검사의 유용성)

  • Kim, Yong-Wook;Choi, Houng-Sik;Kim, Tae-Ho
    • Journal of the Korean Society of Physical Medicine
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    • v.6 no.3
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    • pp.293-301
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    • 2011
  • Purpose : The purposes of this study were to investigate the age-related difference in balance ability in the elderly over 65 years and to verify the clinical usefulness of the functional reach test (FRT) for balance evaluation of the elderly through the sensory organization test (SOT). Methods : The subjects were forty-six community dwelling elderly people over 65 years old in order to verify the correlation of balance measures and to compare the balance ability. Balance was measured using the FRT and the six sub-equilibrium scores and the composite equilibrium score of the SOT. Pearson's product correlation coefficient was used to evaluate the relationships among these measurements of balance. Results : There was a significant difference in functional reach by age in the elderly (p<.01). There was a significant negative correlation between the FRT and the age of the elderly (r=-.396, p<.01). There was also significant high positive correlation between the FRT and the eye closed sway surface (EC/SS) (r=.789, p<.01), and composite equilibrium score (r=.548, p<.01) of the SOT. Conclusion : Thus, it is possible to use the FRT as a quantitative measure of balance, rather than the SOT, which is more expensive and complicated to evaluate elderly people. According to the results of this study, the use of the FRT is required clinically to objectively measure the balance of elderly people in the future.

A Study on Role Conception and Job Satisfaction of Clinical Nurses (임상간호사의 역할지각 및 직무만족에 관한 연구)

  • Han, Chang-Bok;Mun, Heui-Ja
    • Journal of Korean Academy of Nursing Administration
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    • v.2 no.1
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    • pp.115-124
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    • 1996
  • This study was to analyze role conception and job satisfaction of clinical nurses by using questionnaire as designed by Corwin and Paula. For this study questionnaires from 422 nurses working at three university hospitals in Seoul were collected during September 11 to 24, 1995. Statistical analyses were done by the SPSS. The techniques used in this study inclued Chi-square test, Pearson correlation coefficients, t-test, ANOVA. For the reliability of the questionnaire, the Cronbach's alpha coefficient was calculated. The results of this study are as follows: 1. Role conception of the subjects Five Likert scale variables were used to measure role conception including professional aspect, task aspect, and bureaucratic aspect. The variables measured and their means are as follows; Total mean score for role conception was 4.2. Role conception from professional aspect(4.29); task aspect(4.18): bureaucratic aspect(4.09). 2. Job satisfaction of the subjects Five Likert scale variables were used to measure job satisfaction. The variables measured and their means are as follows; Total mean score for job satisfaction was 2.98. Job satisfaction from interaction (3.49): professinal status(3.19): autonomy(3.17): nurse-doctor relationship(2.90): task requirement(2.82): administration(2.32): salary (2.12). 3. The relationship between general characteristics and role conception. There were statistically significant differences in age(F=5.465, p<.000). merrital status(t=-2.70, p<.007), education(F=3.252, p<.022), work department(F=4.186, p<.003), work experience(F=4.457, p<.001), job position(F=8.141, p<.000). 4. The relationship between general characteristics and job satisfaction There were statistically significant difference In education(F=4.043, p<.003), work department(F=4.218, p<.002). job position(F=8.141, p<.000). 5. The correlation between role conception and job satisfaction It showed positive correlation that there was increased role conception, there was increased job satisfaction(r=.3092, p<.001). There were positive correlation in bureaucratic aspect, task aspect, and professional aspect in order.

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An Investigation of the employee Job Satisfaction according to Leadership Style in Family Restaurant (패밀리레스토랑 중간관리자의 리더십스타일에 따른 종사원의 직무만족)

  • Yun, Ji-Yeon;Yoo, Yang-Ja;Hong, Wan-Soo
    • Korean journal of food and cookery science
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    • v.22 no.3 s.93
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    • pp.259-269
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    • 2006
  • The purposes of this study were to measure the correlation between leadership style and job satisfaction in family restaurants, and to compare the effectiveness of two different styles of leadership: transformational and transactional. The questionnaire used in this study was designed to measure all variables in the research model, and was made two kinds for employees and for managers. It was distributed to 550 employees and 12 managers in 16 stores of 4 family restaurants, from September 10 to October 7, 2004. A total of 303 usable employees' questionnaires were received, giving a 55.0% response rate, and all of managers responded. Statistical data analysis was completed using SPSS Win(11.0) for the following analyses: descriptive, reliability, factor, ANOVA, correlation and cluster. The results were as follows. First, the most influential leader was the senior staff in most of the hierarchies that were studied. Second, transformational leadership had a positive correlation with job satisfaction for family restaurant employees, while transactional leadership had a negative correlation. Third, using cluster analysis, four leadership groups were identified: transformational(44%), transactional(29%), a combination of both styles(4%), and unidentifiable style(23%). Fourth the transformational leadership group produced e highest rates job satisfaction for family restaurant employees. The transactional leadership group produced the lowest job satisfaction. According to the results, the most reasonable leadership style in family restaurants is transformational leadership.

Correlation Between Selective Motor Control Test and Functional Performance Evaluation in Children With Spastic Cerebral Palsy (선택적 운동 조절 척도와 기능적 수행도 평가 간의 상관: 경직형 뇌성마비 아동을 대상으로)

  • Park, Eun-Young
    • The Journal of the Korea Contents Association
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    • v.12 no.7
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    • pp.232-239
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    • 2012
  • The purpose of this study was to investigate the relationship among functional evaluation systems, the Selective Motor Control Scale (SMC scale), the Gross Motor Function Classification System (GMFCS), the Gross Motor Function Measure (GMFM) and Activities of daily living in children with spastic cerebral palsy and to provide the foundation data about SMC scle for evaluation system of abilities of selective motor control in children with spastic cerebral palsy. For this, sixty eight children with spastic cerebral palsy were participated in this study. The children were evaluated by using the SMC scale for their selective motor control ability and by using the GMFCS and GMFM for their gross motor function. The activities of daily living were assessed by using the Functional Independence Measure of Children (WeeFIM). There were a significant correlation between the SMC scale and the GMFCS (r = -.485, p < .05). The good correlation between the SMC scale and GMFM was found (r = .482, p < .05). The activities of daily living were not a significant correlation with SMC scale (r = .019, p > .05). The SMC scale in practice will provide usefulness for assessment of abilities of selective motor control in children with spastic cerebral palsy.

Parametric and Non Parametric Measures for Text Similarity (텍스트 유사성을 위한 파라미터 및 비 파라미터 측정)

  • Mlyahilu, John;Kim, Jong-Nam
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.4
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    • pp.193-198
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    • 2019
  • The wide spread of genuine and fake information on internet has lead to various studies on text analysis. Copying and pasting others' work without acknowledgement, research results manipulation without proof has been trending for a while in the era of data science. Various tools have been developed to reduce, combat and possibly eradicate plagiarism in various research fields. Text similarity measurements can be manually done by using both parametric and non parametric methods of which this study implements cosine similarity and Pearson correlation as parametric while Spearman correlation as non parametric. Cosine similarity and Pearson correlation metrics have achieved highest coefficients of similarity while Spearman shown low similarity coefficients. We recommend the use of non parametric methods in measuring text similarity due to their non normality assumption as opposed to the parametric methods which relies on normality assumptions and biasness.

A Study on the Correlation of the Skin Feeling with Rheological Parameters and Other Physical Properties (화장품 사용감과 레올로지 물성치 및 물리적인 특성 값들에 대한 상관관계 연구)

  • Lee, Young-Jin;Baik, Seung-Jae;Lee, Hye-Won;Nam, Yoon-Sung;Kim, Su-Jung;Han, Sang-Hoon;Kang, Hak-Hee
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.30 no.2
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    • pp.141-145
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    • 2004
  • This study was pursued to measure skin feeling of cosmetics by mechanical methods. For this attempt, skin feeling of cosmetics such as spreading properties, tackiness, and residual greasy feeling after skin application was explored with the amount and kinds of cosmetic compositions-emulsifiers, waxes, thickeners, polyols, and oils. Furthermore, the relationship between these cosmetic compositions and viscometry of cosmetic products was studied. In case of emulsifiers, waxes, and thickeners, they showed strong correlation with both skin feeling and the value of phase angle, the property of viscometry, respectively, while polyols and oils were observed a special tendency neither skin feeling nor the property of viscometry. It leads to the conclusion that skin feeling may be corresponded to not values of a mechanical measure completely but a function of several properties. We expect that a better correlation can be discovered with additionally measured properties such as friction, volatility, etc.

Development of an environment field monitoring system to measure crop growth

  • Kim, Yeon-Soo;Kim, Du-Han;Chung, Sun-Ok;Choi, Chang-Hyun;Choi, Tae-Hyun;Kim, Yong-Joo
    • Korean Journal of Agricultural Science
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    • v.46 no.1
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    • pp.57-65
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    • 2019
  • The purpose of this study was to develop an environment field monitoring system to measure crop growth. The environment field monitoring system consisted of sensors, a data acquisition system, and GPS. The sensors used in the environment field monitoring system consisted of an ambient sensor, a soil sensor, and an intensity sensor. The temperature and humidity of the atmosphere were measured with the ambient sensor. The temperature, humidity, and EC of the soil were measured with the soil sensor. The data acquisition system was developed using the Arduino controller. The field monitoring data were collected before a rainy day, on a rainy day, and after the rainy day. The measured data using the environment field monitoring system were compared with the Daejeon regional meteorological office data. The correlation between the data from the environment field monitoring system and the data from the Daejeon regional meteorological office was analyzed for performance evaluation. The correlation of the temperature and humidity of the atmosphere was analyzed because the Daejeon regional meteorological office only provided data for the temperature and humidity of the atmosphere. The correlation coefficients were 0.86 and 0.90, respectively. The result showed a good correlation between the data from the environment field monitoring system and the data from the Daejeon regional meteorological office. Therefore, the developed system could be applied to monitoring the field environment of agricultural crops.

Inverter-Based Solar Power Prediction Algorithm Using Artificial Neural Network Regression Model (인공 신경망 회귀 모델을 활용한 인버터 기반 태양광 발전량 예측 알고리즘)

  • Gun-Ha Park;Su-Chang Lim;Jong-Chan Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.2
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    • pp.383-388
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    • 2024
  • This paper is a study to derive the predicted value of power generation based on the photovoltaic power generation data measured in Jeollanam-do, South Korea. Multivariate variables such as direct current, alternating current, and environmental data were measured in the inverter to measure the amount of power generation, and pre-processing was performed to ensure the stability and reliability of the measured values. Correlation analysis used only data with high correlation with power generation in time series data for prediction using partial autocorrelation function (PACF). Deep learning models were used to measure the amount of power generation to predict the amount of photovoltaic power generation, and the results of correlation analysis of each multivariate variable were used to increase the prediction accuracy. Learning using refined data was more stable than when existing data were used as it was, and the solar power generation prediction algorithm was improved by using only highly correlated variables among multivariate variables by reflecting the correlation analysis results.

A Study on The Fat Measurement at Subcutaneous Adipose by Optical and Electrical Method (광전 방식에 의한 피하 지방층의 비만도 측정에 관한 연구)

  • Oh, Se-Yong;Lee, Young-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.405-407
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    • 2008
  • Body fat measures a large number places body because error is oversized that measure in single specification region to measure body whole body fat degree by non-invasive optical method and bio-electrical impedance method. Use LED source of light that center wavelength is 660nm wavelength and measure at same time by BIA(Bio-electrical Impedance Analysis) method And then photo-electricity method calculate fat correlation formula.

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DEA를 이용한 통신 사업자의 효율성 측정에 관한 연구

  • 김찬규;김현종
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.213-217
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    • 2001
  • This paper deals with the estimation of efficiency of Telecommunication Operators(TOs) using DEA (Data Envelopment Analysis). The measure of efficiency using DEA accomplishes next two steps. First, the efficient frontier is derived using the data of input and output. And then the efficiency of the decision making units are measured by the distances from this frontier To measure efficiency, we consider a one-output, three-input production function. We use the tangible assets, investment cost, the number of employees for input data and measure the output by the revenue. After measuring the efficiency, We can compare the domestic TOs with the international TOs and the wire TOs with wireless ones by average efficiency. After accomplishing the analysis of efficiency, the internal/external efficiency is measured simultaneously through correlation between efficiency and profitability, quality level.

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