• Title/Summary/Keyword: model factor

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The Effects of the Inpatients' Stress and Privacy for the Satisfaction with Patients' Room (입원환자의 프라이버시와 스트레스가 병실 만족도에 미치는 영향)

  • Shin, Eun-Gyeong;Park, Soobeen
    • Korean Institute of Interior Design Journal
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    • v.25 no.5
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    • pp.148-156
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    • 2016
  • This study proposes the structural model of inpatient's satisfaction with their room. Relationship among patients' privacy, patients' stress, and patients' satisfaction were evaluated and were discussed. Survey research followed the literature review, in which the subjects answered questions of the 12 items for the patients' privacy requirements, 10 items selected from the HSRS, and an item of patients' satisfaction. A total of 120 copies were analyzed through the statistical process using the SPSS Win Program 20.0 and SEM by the AMOS 20.0. Results and conclusions are as follows: (1) the inpatients' privacy requirements was subdivided into 'the reserve factor', 'the territoriality factor', and 'the solitude factor'. (2) The inpatients' stress level was subdivided into 'the relationship factor', 'the unfamiliarity factor', and 'the control factor'. (3) The model of relationship among the subjects' privacy requirements, stress level and their satisfaction with the patients' room showed that the subjects' stress level affected their satisfaction with the patients' room directly and the subjects' privacy requirements gave an direct and indirect effect on their' stress level and an indirect effect on their satisfaction with patients' room.

A Study of Stability Analysis for Exit Light (유도등의 안정성 해석에 관한 연구)

  • Jung, Jong-Jin;SaKong, Seong-Ho
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.4
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    • pp.81-85
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    • 2008
  • In this study, Standards of Lighting Appliance and Standard of Model Approval and Inspection Technology for EXIT LIGHT are compared so as to analyze stability of a exit light which is fire product. Test items, which are not included in Standard of Model approval and Inspection Technology for EXIT LIGHT, are deduced from aforementioned comparison and analysis. Also the derived test items are experimented with a exit light. For a power factor correction, a power factor correction circuit is designed and power factor, crest factor, asymmetry ratio, luminance variation are analyzed. In order to show the validity of designed circuit, current waveform and voltage waveform are measured.

Prediction of rock fragmentation and design of blasting pattern based on 3-D spatial distribution of rock factor

  • Sim, Hyeon-Jin;Han, Chang-Yeon;Nam, Hyeon-U
    • 지반과기술
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    • v.3 no.3
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    • pp.15-22
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    • 2006
  • The optimum blasting pattern to excavate a quarry efficiently and economically can be determined based on the minimum production cost, which is generally estimated according to rock fragmentation. Therefore, it is a critical problem to predict fragment size distribution of blasted rocks over an entire quarry. By comparing various prediction models, it can be ascertained that the result obtained from Kuz-Ram model relatively coincides with that of field measurements. Kuz-Ram model uses the concept of rock factor to signify conditions of rock mass such as block size, rock jointing, strength and others. For the evaluation of total production cost, it is imperative to estimate 3-D spatial distribution of rock factor for the entire quarry. In this study, a sequential indicator simulation technique is adopted for estimation of spatial distribution of rock factor due to its higher reproducibility of spatial variability and distribution models than Kriging methods. Further, this can reduce the uncertainty of predictor using distribution information of sample data. The entire quarry is classified into three types of rock mass and optimum blasting pattern is proposed for each type based on 3-D spatial distribution of rock factor. In addition, plane maps of rock factor distribution for each ground level are provided to estimate production costs for each process and to make a plan for an optimum blasting pattern.

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An Analysis for Influence Factors for IT Governance: Focusing on ITA/EA Functions (IT거버넌스의 영향요인 분석: ITA/EA 기능 중심)

  • Ahn, Yeon-Shick;Kang, Jae-Hwa;Cho, Hyung-Rae;Kim, Moon-Jung
    • Journal of Information Technology Services
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    • v.6 no.2
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    • pp.63-80
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    • 2007
  • In this paper, the function factors contributing to ITA/EA functions in their organizations, are suggested. Also the reasons to the construction of IT governance system and their effects on the their organizations are discussed and the relationships are verified by empirical model. From the survey, the data of the 227 respondents were collected and regression analysis was performed for validating the research model. ITA/EA functions consist of the IT infrastructure systemization, ITA/EA business process support, IT investment efficiency factors. And the factors of IT resource and performance management, IT process management, IT service management are included to IT governance. The main analysis results described significantly are shows as follows. At first, IT resource and performance management factor is effected by the ITA/EA business process support factor and IT investment efficiency factor. In similarly, IT service management factor is also affected by the factors such as ITA/EA business process support, IT investment efficiency, and IT infrastructure systemization. In additional analysis, IT investment efficiency factor in official sectors, ITA/EA business process support factor in private sectors respectively are described as the significant factors on the IT governance.

Measurement Instruments for Superior Product Development: A Case Study of Deli Serdang Cassava in Indonesia

  • P, Remus Hasiholan;TARMIZI, Hasan Basri;RAHMANTA, Rahmanta;PURWOKO, Agus
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.1139-1145
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    • 2021
  • This study is aimed at developing a measurement instrument for the superior product development program of Deli Serdang cassava, Indonesia. This research population is the target population of Deli Serdang Micro, Small and Medium-sized Enterprises (MSMEs) which produces cassava. The sample was randomly selected and consisted of 300 MSMEs. The study method is research and development with confirmatory factor analysis using Amos software. The data collection technique was a questionnaire. Study results used the maximum likelihood method which showed that the validity and reliability instruments met the ideal loading factor value > 0.5 and a significance value of p (0.000). The model built also meets the fit criteria based on the Goodness of Fit Model Standard. All instruments are presented to build and measure the superior cassava product development program by Deli Serdang MSMEs. This superior product development program comprises (1) economic contribution (with a loading factor value of 0.76) (2) social aspects (with a loading factor value of 0.76) (3) cultural aspects (with a loading factor value of 0.99) and (4) institutional (with a loading factor value of 0.87). This result means that all instruments have proven construct validity.

Crack identification based on Kriging surrogate model

  • Gao, Hai-Yang;Guo, Xing-Lin;Hu, Xiao-Fei
    • Structural Engineering and Mechanics
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    • v.41 no.1
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    • pp.25-41
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    • 2012
  • Kriging surrogate model provides explicit functions to represent the relationships between the inputs and outputs of a linear or nonlinear system, which is a desirable advantage for response estimation and parameter identification in structural design and model updating problem. However, little research has been carried out in applying Kriging model to crack identification. In this work, a scheme for crack identification based on a Kriging surrogate model is proposed. A modified rectangular grid (MRG) is introduced to move some sample points lying on the boundary into the internal design region, which will provide more useful information for the construction of Kriging model. The initial Kriging model is then constructed by samples of varying crack parameters (locations and sizes) and their corresponding modal frequencies. For identifying crack parameters, a robust stochastic particle swarm optimization (SPSO) algorithm is used to find the global optimal solution beyond the constructed Kriging model. To improve the accuracy of surrogate model, the finite element (FE) analysis soft ANSYS is employed to deal with the re-meshing problem during surrogate model updating. Specially, a simple method for crack number identification is proposed by finding the maximum probability factor. Finally, numerical simulations and experimental research are performed to assess the effectiveness and noise immunity of this proposed scheme.

Development and Application of the Heteroscedastic Logit Model (이분산 로짓모형의 추정과 적용)

  • 양인석;노정현;김강수
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.57-66
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    • 2003
  • Because the Logit model easily calculates probabilities for choice alternatives and estimates parameters for explanatory variables, it is widely used as a traffic mode choice model. However, this model includes an assumption which is independently and identically distributed to the error component distribution of the mode choice utility function. This paper is a study on the estimation of the Heteroscedastic Logit Model. which mitigates this assumption. The purpose of this paper is to estimate a Logit model that more accurately reflects the mode choice behavior of passengers by resolving the homoscedasticity of the model choice utility error component. In order to do this, we introduced a scale factor that is directly related to the error component distribution of the model. This scale factor was defined so as to take into account the heteroscedasticity in the difference in travel time between using public transport and driving a car, and was used to estimate the travel time parameter. The results of the Logit Model estimation developed in this study show that Heteroscedastic Logit Models can realistically reflect the mode choice behavior of passengers, even if the difference in travel time between public and private transport remains the same as passenger travel time increases, by identifying the difference in mode choice probability of passengers for public transportation.

Development of Optimal Rehabilitation Model for Water Distribution System Based on Prediction of Pipe Deterioration (II) - Application and Analysis - (상수관로의 노후도 예측에 근거한 최적 개량 모형의 개발 (II) - 적용 및 분석 -)

  • Kim, Eung-Seok;Park, Moo-Jong;Kim, Joong-Hoon
    • Journal of Korea Water Resources Association
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    • v.36 no.1
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    • pp.61-74
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    • 2003
  • This study(II) apply to the A city by using the optimal rehabilitation model based on the deterioration prediction of the water distribution system proposed the study(I). The deterioration prediction model divides factors into 14 factors with digging and experiment and 9 factor without digging and experiment and calculate the deterioration degree. The application results of the deterioration prediction model show that a difference of the deterioration degree according to factor numbers is within 1~2%. Also, the model can predict the deterioration degree of each pipe without digging and experiment. The optimal rehabilitation model is divided into the optimal residual durability of each deterioration factor and budget constraint or not. The application result is as follow: the rehabilitation time and cost increase according to the increasing of the optimal residual durability. When compared the model with budget constraint and model without budget constraint, the former model increase the cost of total contents. In case of budget constraint, the increasing tendency is concluded that the pipe rehabilitation is executed in same budget every year in condition that every rehabilitation cost do not exceed the every year budget within the optimal residual durability.

A Multi-Period Input DEA Model with Consistent Time Lag Effects (일관된 지연 효과를 고려한 다기간 DEA 모형)

  • Jeong, Byungho;Zhang, Yanshuang;Lee, Taehan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.8-14
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    • 2019
  • Most of the data envelopment analysis (DEA) models evaluate the relative efficiency of a decision making unit (DMU) based on the assumption that inputs in a specific period are consumed to produce the output in the same period of time. However, there may be some time lag between the consumption of input resources and the production of outputs. A few models to handle the concept of the time lag effect have been proposed. This paper suggests a new multi-period input DEA model considering the consistent time lag effects. Consistency of time lag effect means that the time delay for the same input factor or output factor are consistent throughout the periods. It is more realistic than the time lag effect for the same output or input factor can vary over the periods. The suggested model is an output-oriented model in order to adopt the consistent time lag effect. We analyze the results of the suggested model and the existing multi period input model with a sample data set from a long-term national research and development program in Korea. We show that the suggested model may have the better discrimination power than existing model while the ranking of DMUs is not different by two nonparametric tests.

Factor Structures of the Korean Inventory of Peer Relationships (아동청소년 교우관계문제검사의 요인구조)

  • Choi, Sun-Hee;Kim, Jong-Mee;Hong, Sang-Hwang
    • The Korean Journal of Elementary Counseling
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    • v.10 no.2
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    • pp.185-201
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    • 2011
  • The purpose of this study is to reveal and confirm the factor structure inherent in the Korean inventory of peer relationships(KIPR; Sang-Hwang Hong, et al., 2009) in order to strengthen the interpretive usefulness of the test. For this purpose, the inventory was administered to the total of 616 children in the fourth through sixth grades in three elementary schools located in Gyungnam area, and the data from 578 of them were analyzed. The results of the study can be summarized as follows. First, as a result of the exploratory factor analysis of 3-factor and 4-factor models, the 3-factor model was found to be more appropriate. In the 3-factor model, the factor 1 is named "Lack of Self-Confidence and Social Withdrawal" as it consists of such circumplex scale items as Non-Assertiveness (C5), Social Avoidance (C4), the Cold (C3), and Too Submissive (C6). The factor 2 is named "Too Aggressive and Controlling" and consists of items Too Controlling (C1) and Hard to be Supportive (C2). The factor 3 is named "Too Caring" and consists of items Too Responsible (C7), Over Involvement (C8), and Too Submissive (C6). Second, as a result of the confirmatory factor analysis, the 3-factor model, in comparison to the 4-factor model, was found to better reflect the collected data(RMSEA=.054), its goodness of fit was not satisfactory but within the acceptable range(CFI=.786), and its power of simplicity and clarity was also adequate(PCFI=.733). In the current study, through the exploratory and confirmatory factor analyses of scores from the Korean inventory of peer relationships circumplex scales, scales within the peer relationship circumplex model that are near each other and are highly correlated were confirmed to be grouped together as same factors. I believe the main merit of the study lies in the above result having provided the necessary foundation for forming the superordinate and representative scale that encompasses the eight circumplex scales, which enhances the test's interpretive usefulness.

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