• Title/Summary/Keyword: mean function

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Design Optimization Based on Designer's Preferences for the Mean and Variance (평균과 분산에 관한 설계자 선호에 기초한 설계 최적화)

  • Park, Jong-Cheon;Kim, Kyung-Mo;Kim, Kwang-Ho
    • Journal of the Korean Society of Industry Convergence
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    • v.12 no.1
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    • pp.35-42
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    • 2009
  • In Taguchi's quadratic expected loss function used as robustness metric of performance characteristics, the mean and variance contributions are confounded. The consolidation of the mean and variance in the expected loss function may not always be the ideal approach. This paper presents a procedure for multi-attributes design optimization, where the mean and variance of performance characteristics are considered as separate attributes having designer's relative preferences for them and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) is introduced to attain robust optimal design. The effectiveness of proposed approach is shown with an example of a weld line minimization problem in the injection molding process.

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An estimator of the mean of the squared functions for a nonparametric regression

  • Park, Chun-Gun
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.3
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    • pp.577-585
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    • 2009
  • So far in a nonparametric regression model one of the interesting problems is estimating the error variance. In this paper we propose an estimator of the mean of the squared functions which is the numerator of SNR (Signal to Noise Ratio). To estimate SNR, the mean of the squared function should be firstly estimated. Our focus is on estimating the amplitude, that is the mean of the squared functions, in a nonparametric regression using a simple linear regression model with the quadratic form of observations as the dependent variable and the function of a lag as the regressor. Our method can be extended to nonparametric regression models with multivariate functions on unequally spaced design points or clustered designed points.

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A Clustering Algorithm for Handling Missing Data (손실 데이터를 처리하기 위한 집락분석 알고리즘)

  • Lee, Jong Chan
    • Journal of the Korea Convergence Society
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    • v.8 no.11
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    • pp.103-108
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    • 2017
  • In the ubiquitous environment, there has been a problem of transmitting data from various sensors at a long distance. Especially, in the process of integrating data arriving at different locations, data having different property values of data or having some loss in data had to be processed. This paper present a method to analyze such data. The core of this method is to define an objective function suitable for the problem and to develop an algorithm that can optimize this objective function. The objective function is used by modifying the OCS function. MFA (Mean Field Annealing), which was able to process only binary data, is extended to be applicable to fields with continuous values. It is called CMFA and used as an optimization algorithm.

Relationships of Self-esteem, Family Function, and Self-efficacy in Jilin Chinese- Korean Nursing Students (연변조선족 간호대학생이 지각한 자아존중감, 가족기능, 자아효능감과의 관계)

  • Cho, Kyoul-Ja;Park, Soon-Bok;Lee, Myung-Hee
    • Journal of East-West Nursing Research
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    • v.14 no.2
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    • pp.24-31
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    • 2008
  • Purpose: To survey and examine the relationships of self-esteem, family function, and self-efficacy in Chinese-Korean university students, and to provide supplemental data useful in counseling of university students during their adjustment to university life. Methods: A self-administered questionnaire with cross-sectional design was used. Participants were 103 Chinese undergraduate students in one university in Jilin, China. Descriptive statistics, t-test, ANOVA with Duncan's test and Pearson's correlation coefficients were used to analyze the data. Results: Mean scores were 3.40 for self-esteem, 2.32 for family function, and 2.93 for self-efficacy. The score for self-esteem differed significantly according to gender, body mass index (BMI), family number, education level of mother, and course of study. The mean score for family function differed significantly according to nursing satisfaction. The mean score for self-efficacy differed significantly according to BMI and nursing satisfaction. Positive correlations were evident between self-esteem and self-efficacy. Conclusions: To promote self-esteem and self-efficacy, development of nursing interventions to support family function is prudent.

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A Study on the Reliability Performance Evaluation of Software Reliability Model Using Modified Intensity Function (변형된 강도함수를 적용한 소프트웨어 신뢰모형의 신뢰성능 비교 평가에 관한 연구)

  • Kim, Hee Cheul;Moon, Song Chul
    • Journal of Information Technology Applications and Management
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    • v.25 no.2
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    • pp.109-116
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    • 2018
  • In this study, we was compared the reliability performance of the software reliability model, which applied the Goel-Okumoto model developed using the exponential distribution, to the logarithmic function modifying the intensity function and the Rayleigh form. As a result, the log-type model is relatively smaller in the mean squared error compared to the Rayleigh model and the Goel-Okumoto model. The logarithmic model is more efficient because of the determination coefficient is relatively higher than the Goel-Okumoto model. The estimated determination coefficient of the proposed model was estimated to be more than 80% which is a useful model in the field of software reliability. Reliability has been shown to be relatively higher in the log-type model than the Rayleigh model and the Goel-Okumoto model as the mission time has elapsed. Through this study, software designer and users can identify the software failure characteristics using mean square error, decision coefficient. The confidence interval can be used as a basic guideline when applying the intensity function that reflects the characteristics of the lifetime distribution.

Risk Factors of the Masticatory Function in Patients with Temporomandibular Disorders: A Cross-Sectional Cohort Study

  • Kim, Keon-Hyung;Park, Jo-Eun;Kim, Mee-Eun;Kim, Hye-Kyoung
    • Journal of Oral Medicine and Pain
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    • v.44 no.3
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    • pp.92-102
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    • 2019
  • Purpose: To investigate the masticatory function of patients with different temporomandibular disorders (TMD) phenotypes, and to explore the risk factors for the masticatory function of TMD patients among multiple biopsychosocial variables using patient-reported outcomes (PROs). Methods: Clinical features and TMD diagnoses of 250 cases were investigated by reviewing medical records. Psychosocial factors were evaluated using four questionnaires representing pain severity and pain interference (Brief Pain Inventory), pain catastrophizing (Pain Catastrophizing Scale, PCS), psychological distress (Symptom Check List-90-Revised, SCL-90R) and kinesiophobia (Tampa Scale for Kinesiophobia for Temporomandibular Disorders, TSK-TMD). Masticatory function, as a dependent variable, was determined using the Jaw Functional Limitation Scale (JFLS). Kruskal-Wallis test and Spearman's rank correlation were used for analyses. Results: A total of 145 cases were included and classified into four subgroups including group 1: TMD with internal derangement without pain (n=14), group 2: TMD with muscle pain (n=32), group 3: TMD with joint pain (n=60) and group 4: TMD with muscle-joint combined pain (n=39). Pain severity (p=0.001) and interference (p=0.022) were the highest in group 2, but the mean global score of JFLS was the highest in group 3, followed by group 4, group 2, and group 1 (p=0.013). Pain severity, pain interference, the mean global score of PCS and the mean global score of TSK-TMD showed significant and moderate correlation with the mean global score of JFLS. All subdimensions and the global severity index of SCL-90R had significant, but weak correlations with all scores of JFLS. Conclusions: The results suggest that masticatory functional limitation depends on the TMD phenotypes. Among the various PROs, pain perception, pain catastrophizing and kinesiophobia seem to be more influential risk factors on jaw function than psychological distress, such as depression and anxiety.

Left Atrial Velocity Vector Imaging Can Assess Early Diastolic Dysfunction in Left Ventricular Hypertrophy and Hypertrophic Cardiomyopathy

  • Se-Jung Yoon;Sungha Park;Eui-Young Choi;Hye-Sun Seo;Chi Young Shim;Chul Min Ahn;Sung-Ai Kim;Jong-Won Ha
    • Journal of Cardiovascular Imaging
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    • v.31 no.1
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    • pp.41-48
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    • 2023
  • BACKGROUND: The function of left atrium (LA) is difficult to assess because of its ventricle-dependent, dynamic movement. The aim of this study was to assess LA function using velocity vector imaging (VVI) and compare LA function in patients with hypertrophic cardiomyopathy (HCMP) and left ventricular hypertrophy (LVH) with normal controls. METHODS: Fourteen patients with HCMP (72% male, mean age of 52.6 ± 9.8), 15 hypertensive patients with LVH (88% male, mean age of 54.0 ± 15.3), and 10 age-matched controls (83% male, mean age of 50.0 ± 4.6) were prospectively studied. Echocardiographic images of the LA were analyzed with VVI, and strain rate (SR) was compared among the 3 groups. RESULTS: The e' velocity (7.7 ± 1.1; 5.1 ± 0.8; 4.5 ± 1.3 cm/sec, p = 0.013), E/e' (6.8 ± 1.6; 12.4 ± 3.3; 14.7 ± 4.2, p = 0.035), and late diastolic SR at mid LA (-1.65 ± 0.51; -0.97 ± 0.55; -0.82 ± 0.32, p = 0.002) were significantly different among the groups (normal; LVH; HCMP, respectively). The e' velocity, E/e', and late diastolic SR at mid LA were significantly different between normal and LVH (p = 0.001; 0.022; 0.018), whereas LA size was similar between normal and LVH (p = 0.592). The mean late diastolic peak SR of mid LA was significantly correlated with indices of diastolic function (E/e', e', and LA size). CONCLUSIONS: The SR is a useful tool for detailed evaluation of LA function, especially early dysfunction of LA in groups with normal LA size.

Improvement of Edge Detection Using Mean Shift Algorithm (Mean Shift 알고리즘을 활용한 경계선 검출의 향상)

  • Shin, Seong-Yoon;Lee, Chang-Woo;Rhee, Yang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.59-64
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    • 2009
  • Edge detection always influenced by the noise of original image, therefore need some methods to eliminate them in advance, and the Mean Shift algorithm has the smooth function which suit for this purpose, so adopt it to fade out the unimportant information and the sensitive noise portions. Above all, we use the Canny algorithm to pick up the contour of the objects we focus on. And, take tests and get better result than the former sole Canny algorithm. This combination method of Mean Shift algorithm and Canny algorithm is suitable for the edge detection processing.

ON A CLASS OF BIVARIATE MEANS INCLUDING A LOT OF OLD AND NEW MEANS

  • Raissouli, Mustapha;Rezgui, Anis
    • Communications of the Korean Mathematical Society
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    • v.34 no.1
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    • pp.239-251
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    • 2019
  • In this paper we introduce a new formulation of symmetric homogeneous bivariate means that depends on the variation of a given continuous strictly increasing function on (0, ${\infty}$). It turns out that this class of means includes a lot of known bivariate means among them the arithmetic mean, the harmonic mean, the geometric mean, the logarithmic mean as well as the first and second Seiffert means. Using this new formulation we introduce a lot of new bivariate means and derive some mean-inequalities.

The Relationship between Perceived Family Functioning and Depression in Patients with Chronic Low-Back Pain (만성요통환자가 지각하는 가족기능과 우울의 관계)

  • Son Jung-Tae;Park Hyun-Sook
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.7 no.2
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    • pp.316-331
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    • 2000
  • This study was conducted using a descriptive correlational survey design to identify how patients with chronic low-back pain perceived family function and to examine the relationship between family function and depression. The participants of the study were 116 patients with chronic low-back pain patient who were having follow-up treatment in a local pain clinic, located in Daegu. A structured questionnaire was filled out participants themselves and the structured interview was given during January and February, 2000. The data collection instrument were FACE II-Korean version and Beck's Depression Inventory(1983). The data collected were analysed using mean, standard deviation(SD), t-test, F-test, Duncan test and Pearson correlation coefficient, done with SAS. The results are as follows; 1. The mean of the respondents' perceived family function was 3.47, with emotional bonding at 3.61, acceptability and sharing at 3.61, participation at 3.23, negotiation and satisfaction at 3.24 and responsibility and expectation at 3.76. 2. The mean of the respondents' perceived depression was $17.53{\pm}8.76$. 3. There was significantly negative correlation between family function and depression(r=-0.4817, p=.0001). 4. Research variables included demographic characteristics and showed that subjects who were aged 65 years or older showed significantly lower scores in patient's perceived family function than those who were aged 45 years or below(p=.0502). Perceived family function of females respondents were significantly lower than males(p=.0026). The illiterate showed significantly lower scores than other groups(p=.0001). Respondents with spouse and extended family tended to show significantly higher scores than those who were living with spouse only or by themselves alone(p=.0091). Those who had higher income showed significantly higher scores than in the lower income group(p=.0001). 5. For family function regarding pain characteristics, those who reported severe pain-related daily activity impediments showed significantly lower scores in family function than others with less pain(p=.0357).

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