• Title/Summary/Keyword: Proper variables

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A Prediction Model of Drug Misuse Behaviors in Community-Dwelling Older Adults (재가노인의 약물오용행위 예측모형)

  • Hong, Se Hwa;Yoo, Kwang Soo
    • Journal of Korean Academy of Nursing
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    • v.46 no.5
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    • pp.630-641
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    • 2016
  • Purpose: This study was designed to construct a model which explains drug misuse behaviors in community-dwelling older adults. Methods: The design of this research is a cross-sectional study using structure equation modeling. The hypothetical model consisted of two types of variables: the exogenous variables of health status, cognitive ability, and negative emotion, and the endogenous variables of number of drugs, and drug misuse behaviors. The data collection was conducted from September 2 to September 21, 2013 through self-report questionnaires. Participants were 320 community-dwelling adults over the age of 65 living in J city. Data were analyzed with SPSS 21.0 program and Amos 18.0 program. Results: The results of the model fitness analysis were satisfied. The predictor variables for the hypothetical model explained 62.3% of variance regarding drug misuse behaviors. Drug misuse behaviors were directly affected by health status, cognitive ability, negative emotion and number of drugs and indirectly affected by health status, and negative emotion through number of drugs. Conclusion: These findings indicate factors that should be used in developing effective nursing interventions for safe and proper drug use and the prevention of drug misuse behaviors in community-dwelling older adults.

The Effects of Korean Wave and Heuristic on Shopping Behavioral Intention of Chinese Consumers

  • Kim, Soon-Hong;Yoo, Byong-Kook
    • Journal of Distribution Science
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    • v.15 no.9
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    • pp.53-62
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    • 2017
  • Purpose - This study aims to analyze the effects of preference for Korean Wave and heuristic on shopping satisfaction and switching barriers of Chinese people visiting Korea, and also their positive effects on consumers' behavioral intention with these variables as mediating variables by using the structural equation model. Research design, data, and Methodology - For this study, we collected 264 questionnaires of Chinese consumers' who have experienced tourism and shopping in Korea after excluding questionnaires that were not proper to be analyzed. The residence of Chinese visiter was Shandong Province, Beijing, Shanghai, Shenyang. The data of this study was analyzed using SPSS 23 statistics to verify the reliability and discriminant validity. Structural equation method was used to test the hypotheses in this study. Results - The effects of heuristic variable on shopping satisfaction and the switching barriers variable were statistically significant. The effects variables of Korean Wave effect variable were statistically significant only on the switching barriers variable. However, the Korean Wave effect variable did not have a statistically significant effect on the shopping satisfaction. Conclusions - The shopping satisfaction and Korean Wave effect variables had statistically significant effects on the behavioral intention variable. In the result of indirect analysis, only the heuristic effect had indirect effects on consumers' behavior intention.

An Analysis of Consumer's Satisfaction about Korean Traditional Soybean Paste Products - Focusing on Deajeon's Consumers - (전통장류에 대한 소비자 만족도 분석 - 대전소비자를 대상으로 -)

  • Kim, Jong-Hwa
    • Journal of Korean Society of Rural Planning
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    • v.23 no.3
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    • pp.61-72
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    • 2017
  • The purpose of this paper is to estimate consumer's satisfaction by purchasing farmer's processed food. So, this paper surveyed consumers which have purchased Korean traditional soybean paste products, by reason of limiting research objects among lots of farmer's processed food. A survey of 220 consumers was carried out on September and October 2016. For this matters, this paper used multiple linear regression model(included LOG-LIN model) and, set up 1 dependent and 11 independent variables. As the analysis results, we could find out that consumer's satisfaction was affected by 6 variables(price, taste, ease of cooking, confidence of product information, social awareness and perceived 6th industrialization). Among these variables, the strongest variable was "social awareness", and the second was "perceived 6th industrialization". This paper also estimated the rate of change that a dependent variable was affected by independent variables. As the results, this paper found out that "perceived 6th industrialization" had the highest rate of change(5.8%) and the second was "social awareness"(5.6%). This paper proposed 7 implications of Korean traditional soybean paste. Those were the proper price policy and quality value's promotion, quality Improvement and confidence enhancement, development of products for consumer's convenience, enhancement of social awareness, enhancement of politic management about 6th industrialization and accessibility of purchasing information.

Probabilistic penalized principal component analysis

  • Park, Chongsun;Wang, Morgan C.;Mo, Eun Bi
    • Communications for Statistical Applications and Methods
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    • v.24 no.2
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    • pp.143-154
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    • 2017
  • A variable selection method based on probabilistic principal component analysis (PCA) using penalized likelihood method is proposed. The proposed method is a two-step variable reduction method. The first step is based on the probabilistic principal component idea to identify principle components. The penalty function is used to identify important variables in each component. We then build a model on the original data space instead of building on the rotated data space through latent variables (principal components) because the proposed method achieves the goal of dimension reduction through identifying important observed variables. Consequently, the proposed method is of more practical use. The proposed estimators perform as the oracle procedure and are root-n consistent with a proper choice of regularization parameters. The proposed method can be successfully applied to high-dimensional PCA problems with a relatively large portion of irrelevant variables included in the data set. It is straightforward to extend our likelihood method in handling problems with missing observations using EM algorithms. Further, it could be effectively applied in cases where some data vectors exhibit one or more missing values at random.

An investigation of the Reynolds Number dependence of the Axisymmetric Jet Mixing Layer using the Proper Orthogonal Decomposition

  • Jung, Dae-Han;George, William K.
    • Proceedings of the KSME Conference
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    • 2001.11b
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    • pp.423-425
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    • 2001
  • The Proper Orthogonal Decomposition (POD) technique was applied to investigate the effects of Reynolds number and the characteristics of the organized motions or coherent structures as a function of downstream position from x/D=2 to 6 in a turbulent axisymmetric shear layer at Reynolds numbers of 78,400, 117,600, and 156,800. Data were collected simultaneously using the 138 hot-wire probe used by Citriniti and George (2000). The POD was then applied to a double Fourier transform in time and azimuthal direction of the double velocity correlation tensor. The lowest azimuthal mode for all POD modes, which dominated the dynamics at x=D = 3 in the previous experiments, dies off rapidly downstream. This is consistent with a trend toward homogeneity in the downstream evolution, and suggests that some residual value may control the growth rate of the far jet. On the other hand, for the higher azimuthal modes, the peak shifts to lower mode numbers and actually increases with downstream distance. These mixing layer data, normalized by similarity variables for the mixing layer, collapse at all downstream positions and are nearly independent of Reynolds numbers.

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A study on intelligent fish-drying process control system

  • Nakamura, Makoto;Shiragami, Teizoh;Sakai, Yoshiro
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.132-137
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    • 1993
  • In this paper, a fish drying process control system is proposed, which predicts the proper change with time in weight of the material fish and the drying conditions in advance, based on the performance of skilled worker. In order to implement a human expertise into an automated fish drying process control system, an experimental analysis is made and a model for the process is built. The proposed system divided into two procedures: The procedure before drying and the one during drying. The procedure before drying is for the prediction of necessary drying time. To estimate the necessary drying time, first, the proper change in weight for the product is obtained by using fuzzy reasoning. The condition part of the production rule consists of the factors of fish body and the expected degree of dryness. Kext, the necessary drying time is obtained by regression models. The variables employed in the models are the factors, inferred change in weight and drying conditions. The model for the procedure during drying is also proposed for more accurate estimation, which is described by a system of linear-differential equations.

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A Study on the Flexural Capacity of Wooden Member According to the Reinforcement Ratio of Synthetic Resin (합성수지의 보강비율에 따른 목재의 휨 보강 성능에 관한 연구)

  • Kang, Ho-Geun
    • Journal of Korean Association for Spatial Structures
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    • v.17 no.3
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    • pp.91-98
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    • 2017
  • Most of the cultural assets in Korea are wooden structures. Due to the material characteristics of wood, the preservation of traditional wooden structure is impossible by simple maintenance. Damaged member is replaced with new member or completely dissolve and restore them. But member has a cultural value, so that it is impossible to arbitrarily replace each member. Although the preservation treatment method using synthetic resin is emphasized, there is no exact standard for proper reinforcement ratio. This paper is experimental study for reinforcement ratio of wooden flexural member with synthetic resins, Reinforced ratio on section area of flexural member. As a result, synthetic resin reinforcement are selected as experimental variables by proper ratio enhanced flexural capacity of reinforced wooden member than new wooden member.

Analysis and Reconstruction of the 2-D Cylinder Wake Flow Using POD (적합직교분해를 이용한 2차원 실린더 후류 유동장 분석 및 재구성)

  • Rhee, Hui-Nam;Kim, Gi-Hee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.1
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    • pp.164-169
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    • 2010
  • Proper Orthogonal Decomposition (POD) is applied to the analysis of 2-dimensional cylinder wake flow. Time histories of flow variables were obtained by the incompressible CFD analysis. By using the method of snapshots the correlation matrix was constructed, and then eigenvalues, POD modes and time coefficients were calculated. Finally the flow field was reconstructed by using a few of the lower POD modes, and compared to the original ones.

A Study on the Computation of the Proper Size and the Number of University Lecture Rooms (대학 일반강의실의 적정 규모별 소요 실 수 산정 방안에 관한 연구)

  • Lee, Kwan-Seok;Kim, Jong-Hun
    • Journal of the Korean Institute of Educational Facilities
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    • v.17 no.2
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    • pp.13-22
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    • 2010
  • This paper studies the program to estimate simultaneously the proper size and the number of lecture rooms by sizes in university when the curriculum has been fixed and the number of students present at a lecture class can be predicted. Proposed gradual forms can be applied according to several variables like basis size of lecture rooms, structural modules of the building and ratio of occupation of lecture rooms etc. The validity of proposed method is verified through the application of real case.

A Study on Improved Method of Self-Employment Adequacy Analysis in Korea (한국의 자영업 적정규모 분석방법 개선에 관한 연구)

  • Suh, Geunha;Kim, Sungho;Suh, Changsoo
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.107-116
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    • 2019
  • Purpose - Why, why is it difficult to predict the appropriateness of self-employment, and what are the countermeasures and policy proposals to overcome. This study intends to further develop the field of statistical variables. It is necessary to overcome the limitation of existing proper scale research in Korea. We need to find statistical variables that can determine the appropriateness of self-employment in Korea. These efforts will be helpful in evaluating OECD countries and statistics and developing domestic economic indicators. Research design, data, and methodology - It is the discovery of statistical indicators and complementary indicators that have not been revealed in previous studies. Therefore, we sought to find new statistical parameters based on the statistics of the Korea National Statistical Office, the Bank of Korea, and overseas OECD statistics. (Proper Size of Adequacy) is defined as the specific gravity or number of the self-employed in Korea, which is shown as "Out Put" by statistical analysis of STATA panel statistical data. It is possible to further develop variables such as gross domestic product, gross national product, economic growth rate, unemployment rate, income tax rate, consumer price, tax level, exports, import amount, bill default I want to dig. Results - In addition to expanding economic indicators that can be explained by self-employment determinants, we have developed a variety of methods such as linear and non-linear (U-shaped, inverted U-shaped). It is the improvement of the self-employment determinants and the analysis method to estimate the appropriate scale. Conclusions - The proposed contents are reflected in self - employment appropriateness evaluation data and hope to help the government to select the policy support and to evaluate the government business after the policy support. These efforts are expected to be of great help to operators operating their own businesses, and to government and related institutional practitioners who support them. In this way, self-employment will be created in accordance with the Korean situation, where the happy life of all the people becomes the premise and the inclusive economic activities are guaranteed. It will improve the method of analyzing proper scale of small business owners and self-employed in Korea.