• Title/Summary/Keyword: variance structure

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Development of the Meaning in Life Scale for Older Adults (노인의 삶의 의미 측정 도구 개발)

  • Lee, Si Eun;Hong, Gwi-Ryung Son
    • Journal of Korean Academy of Nursing
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    • v.47 no.1
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    • pp.86-97
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    • 2017
  • Purpose: The purpose of this study was to develop and test the psychometric properties of the newly developed instrument, Meaning in Life, for elderly Korean people. Methods: Ten older adults participated in the qualitative research used to develop the initial items. Participants for the psychometric testing were 371 community-dwelling older adults. Validity and reliability analyses included content, construct, and criterion-related validities, internal consistency, and test-retest reliability. Results: The Meaning in Life Scale consisted of 12 items with three distinct factors; value of life, source of life, and will to live, which explained 86.7% of the total variance. A three-factor structure was validated by confirmatory factor analysis. Criterion-related validity was supported by comparison with the Purpose in Life Test (r=.74). Reliabilities were secured with test-retest reliability of Intra-class Correlation Coefficient (ICC) .85 and the Cronbach's alpha coefficient .90. Conclusion: The results of this study indicate that this instrument is useful to measure meaning in life in Korean elders.

Improvement of MLLR Speaker Adaptation Algorithm to Reduce Over-adaptation Using ICA and PCA (과적응 감소를 위한 주성분 분석 및 독립성분 분석을 이용한 MLLR 화자적응 알고리즘 개선)

  • 김지운;정재호
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.7
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    • pp.539-544
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    • 2003
  • This paper describes how to reduce the effect of an occupation threshold by that the transform of mixture components of HMM parameters is controlled in hierarchical tree structure to prevent from over-adaptation. To reduce correlations between data elements and to remove elements with less variance, we employ PCA (Principal component analysis) and ICA (independent component analysis) that would give as good a representation as possible, and decline the effect of over-adaptation. When we set lower occupation threshold and increase the number of transformation function, ordinary MLLR adaptation algorithm represents lower recognition rate than SI models, whereas the proposed MLLR adaptation algorithm represents the improvement of over 2% for the word recognition rate as compared to performance of SI models.

Reproduction Strategies of Clonal Plants of Potentilla conferta in Uzbekistan and Mongol

  • Huh, Man-Kyu;Lee, Byeong-Ryong
    • Journal of Environmental Science International
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    • v.21 no.11
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    • pp.1297-1305
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    • 2012
  • Clonal plants combine sexual and clonal reproduction, which contribute differently to plant fitness. Reproductive analyses have highlighted the importance of clonal growth in shaping the spatial genetic structure in Potentilla conferta Bunge, a herbaceous rhizomatic clonal distributed in hot sand dunes. We investigated the reproduction system of P. conferta at two populations in Mongol and three natural populations in Uzbekistan. The measurements of 19 quantitative or qualitative morphological characters were taken on each of total individuals directly from their natural habitats. Some morphological characteristics between Mongolia and Uzbekistan populations showed a slight heterogeneity of variance. Especially, the length of internodes (LFI and LSI) and characteristics of root (LLR and NOR) were shown a significant difference between two countries (P<0.05). P. conferta of Uzbekistan has most ramets at short distance intervals 30~100 cm. In light conditions, P. conferta of Uzbekistan was significantly less resilience than P. conferta of Mogol. In drought conditions, although there was not shown significant difference, P. conferta in Uzbekistan was less resilience than that in Mogol. The core analysis indicates that P. conferta in Uzbekistan is the more resistant than that of Mongol and seems to do by sexual reproduction strategy during several strong environmental disadvantages such as drought events.

Factors Affecting the Participation in Leisure Activities by Elderly Women Living Alone

  • Gu, Min Kyung
    • Research in Community and Public Health Nursing
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    • v.29 no.3
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    • pp.257-266
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    • 2018
  • Purpose: The study has been conducted to identify factors affecting the participation in leisure activities by elderly women living alone. Methods: Data were collected through a questionnaire survey among 150 elderly women in Seoul and Gyeong-gi Province. The measurement tools that were used include participation in leisure activities, perceived health status, Geriatric Depression Scale Short Form-Korea (GDSS-K), psychological well-being scale, and loneliness scale. The data were analyzed by using the Pearson correlation coefficients, t-test, analysis of variance ANOVA, and stepwise multiple regression with the SPSS/windows version 21.0 program. Results: The analysis shows that the affection for participation in leisure activities of the elderly women living alone who participated in the questionnaire survey is significant (F=14.6, p<.001). The value of the adjusted $R^2$ is 0.55, which accounts for the explanatory power of 55.4%. The predictor that has been found to have the greatest influence on the participation in leisure activities by the elderly women living alone include perceived health status, followed by monthly allowance (10,000 won), psychological well-being, economic status, religion, depression, family structure, and loneliness. Conclusion: The results suggest that in developing nursing interventions and practice for the participation in leisure activities by elderly women living alone, perceived health status, psychological well-being, depression, and loneliness should be considered.

Phytosociological Analysis of Woody Species in Kedarnath Wildlife Sanctuary and Its Adjoining Areas in Western Himalaya, India

  • Malik, Zubair A.;Bhatt, A.B.
    • Journal of Forest and Environmental Science
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    • v.31 no.3
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    • pp.149-163
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    • 2015
  • The aim of the present study was to assess the variation in species composition and diversity of woody species at different altitudes (900 to 2600 m asl) in Kedarnath Wildlife Sanctuary (KWLS) and its adjoining areas in Garhwal Himalaya, India. A total of 94 woody plant species (including 44 tree and 50 shrub species) belonging to 72 genera and 44 families were reported. Density varied from $235{\pm}9$ to $505{\pm}21trees\;ha^{-1}$ and $4,730{\pm}474$ to $9,530{\pm}700shrubs\;ha^{-1}$. Total basal cover varied from $10.49{\pm}0.66$ to $42.92{\pm}2.57m^2ha^{-1}$ (trees) and $0.36{\pm}0.024$ to $0.62{\pm}0.047m^2ha^{-1}$ (shrubs). Shannon-Wiener Index fluctuated between 2.30 to 3.53 (trees) and 2.74 to 3.78 (shrubs). Analysis of variance (ANOVA) indicated that altitude and aspect had significant effect on the distribution of woody species. Taxonomically, Rosaceae with 15 species emerged as the dominant family. Low value of maturity index and contiguous distribution of species denoted the early successional status of the studied forests. The conservation assessment based on altitudinal regimes and the information on species structure and function can provide baseline information for monitoring and sustaining the biodiversity.

Job Satisfaction and Influential Factors of Clinical Nurses (간호사의 직무만족에 영향을 미치는 요인)

  • Kim, Mi Hee;Jeong, Mi Young
    • Journal of East-West Nursing Research
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    • v.18 no.2
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    • pp.81-87
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    • 2012
  • Purpose: The purpose of this study was to study the job satisfaction and influential factors of clinical nurses. Methods: Data were collected using questionaires from 323 nurses who were working at hospitals located in M city. For data analysis, t-test, ANOVA, Duncan test, Pearson correlation coefficient and multiple regression were used. Results: The means of self-esteem, organizational commitment, and job satisfaction were 3.01, 3.23, and 3.04, respectively. There were statistically significant correlations among self-esteem, organizational commitment, and job satisfaction. Significant predictors of job satisfaction were organizational commitment and education opportunity. These two factors accounted for 50.9% of variance in job satisfaction of the nurses. Organizational commitment was the most influential variable. Conclusion: In rapidly changing environments, hospital system has been transformed into a highly complex and specialized structure. To manage human resources and reduce turnover rates, it is necessary to develop a strategy for nurses to improve the levels of self-esteem, organizational commitment, and job satisfaction.

SHAPE DESIGN FOR DISC OF A DOUBLE-ECCENTRIC BUTTERFLY VALVE USING THE TOPOLOGY OPTIMIZATION TECHNIQUE (위상최적설계 기법을 이용한 이중편심 버터플라이 밸브의 디스크에 대한 형상설계)

  • Yang, S.M.;Baek, S.H.;Kang, S.
    • Journal of computational fluids engineering
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    • v.17 no.1
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    • pp.61-69
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    • 2012
  • In this paper, the shape design process is briefly discussed emphasizing the use of topology optimization in the conceptual design stage. The basic idea is to view feasible domains for sensitivity region concepts. In this method, the main process consists of two steps: as the design moves further inside the feasible domain using Taguchi method, and thus becoming more successful topology optimization, the sensitivity region becomes larger. In designing a double-eccentric butterfly valve, related to hydrodynamic performance and disc structure, are discussed where the use of topology optimization has proven to dramatically improve an existing design and significantly decrease the development time of a shape design. CFD analysis results demonstrate the validity of this approach.

A Study on the Adaptive Active Noise Control Using the Self-tuning feedback controller (자기동조 피이드백 제어기를 이용한 적응 능동소음제어에 관한 연구)

  • Shin, Joon;Lee, Tae-Yeon;Kim, Heung-Seob;Jo, Seong-Oh;Bang, Seung-Hyun;Oh, Jae-Eung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1993.04a
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    • pp.140-146
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    • 1993
  • Active noise control uses the intentional superposition of acoustic waves to create a destructive interference pattern such that a reduction of the unwanted sound occurs. In active noise control system the choice of a control structure and design of the controller are the main issues of concern. In real acoustic fields there are a vast number of noise sources with time-varying nature and the characteristics of transducers and the geometric set-up of control system are subject to change. Accordingly the control system should be designed to adapt such circumstances so that required level of performance is maintained. In this paper, the adaptive control algorithm for self-tuning adaptive controller is presented for the application in active noise control system. Self-tuning is a direct integration of identification and controller design algorithm in such a manner that the two processes proceed sequentially. The least mean square algorithm was used for the identification schemes and adaptive weighted minimum variance control algorithm was applied for self-tuning controller. Computer simulation results for self-tuning feedback controller are presented. And simulation results was shown to be useful for the situation in which the periodic noise sources act on the acoustic field.

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ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices

  • Ding, Xiucai;Chen, Xianyi;Zou, Mengling;Zhang, Guangxing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.6
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    • pp.2634-2648
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    • 2020
  • In this paper, an adaptive sparse singular value decomposition (ASSVD) algorithm is proposed to estimate the signal matrix when only one data matrix is observed and there is high dimensional white noise, in which we assume that the signal matrix is low-rank and has sparse singular vectors, i.e. it is a simultaneously low-rank and sparse matrix. It is a structured matrix since the non-zero entries are confined on some small blocks. The proposed algorithm estimates the singular values and vectors separable by exploring the structure of singular vectors, in which the recent developments in Random Matrix Theory known as anisotropic Marchenko-Pastur law are used. And then we prove that when the signal is strong in the sense that the signal to noise ratio is above some threshold, our estimator is consistent and outperforms over many state-of-the-art algorithms. Moreover, our estimator is adaptive to the data set and does not require the variance of the noise to be known or estimated. Numerical simulations indicate that ASSVD still works well when the signal matrix is not very sparse.

Deflection and buckling of buried flexible pipe-soil system in a spatially variable soil profile

  • Srivastava, Amit;Sivakumar Babu, G.L.
    • Geomechanics and Engineering
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    • v.3 no.3
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    • pp.169-188
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    • 2011
  • Response of buried flexible pipe-soil system is studied, through numerical analysis, with respect to deflection and buckling in a spatially varying soil media. In numerical modeling procedure, soil parameters are modeled as two-dimensional non-Gaussian homogeneous random field using Cholesky decomposition technique. Numerical analysis is performed using random field theory combined with finite difference numerical code FLAC 5.0 (2D). Monte Carlo simulations are performed to obtain the statistics, i.e., mean and variance of deflection and circumferential (buckling) stresses of buried flexible pipe-soil system in a spatially varying soil media. Results are compared and discussed in the light of available analytical solutions as well as conventional numerical procedures in which soil parameters are considered as uniformly constant. The statistical information obtained from Monte Carlo simulations is further utilized for the reliability analysis of buried flexible pipe-soil system with respect to deflection and buckling. The results of the reliability analysis clearly demonstrate the influence of extent of variation and spatial correlation structure of soil parameters on the performance assessment of buried flexible pipe-soil systems, which is not well captured in conventional procedures.