• Journal of Power System Engineering
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• v.21 no.2
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• pp.70-76
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• 2017

When Timoshenko arcs considering the shear deformation and rotatory inertia have elastic supports, the authors analyze in-plane free vibration of them by the transfer influence coefficient method. This method finds the natural frequencies of them using the transfer of influence coefficient after obtaining the transfer matrix of arc element from numerical integration of the differential equations governing the vibration of arc. In this study, two computer programs were made by the transfer influence coefficient method and the transfer matrix method for analyzing free vibration of Timoshenko arcs. From numerical results of four computational models, we confirmed that the transfer influence coefficient method is a reliable method when analyzing the free vibration of Timoshenko arcs. In particular, the transfer influence coefficient method is a effective method when analyzing the free vibration of arcs with rigid supports.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.83-100
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• 2002

The purpose of this study is to examine related variables to goods purchase by consumers using the home shopping of cable TV. For the purpose accomplishment, this study analyzed the variables which influence on the purchase by demographic variables, consumers'shopping propensity, perceived risk and benefit. The major findings are as follows; In the purchase of convenience goods, the variables which influence positively are sex, job(housewife), instantly impulse purchasing propensity, and diversity of goods information. On the other hand, the variables which influence negatively are risk of delivery & returned goods, and risk of quality. In the purchase of shopping goods, the variables which influence positively are state of marriage, job(nonspecialist), and diversity of goods information. On the other hand, the variables which influence negatively are pleasure of shopping-oriented, risk of delivery & returned goods, and risk of quality. In the purchase of specialty goods, the variables which influence positively are sex, income, convenience of time, and convenience of approach. On the other hand, the variables which influence negatively are pleasure of shopping-oriented, and risk of price & information restriction.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3252-3259
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• 2023

The influence of hold-down spring (HDS) on the vibration characteristics of core barrel is studied in this paper. First, the vibration characteristics experiment of core barrel was carried out with four type of different hold-down spring. These hold-down springs represent the same hold-down force under different spring stiffness and different hold-down force under the same spring stiffness. And then a new finite element method for researching the influence of hold-down spring on the vibration characteristics of core barrel was presented. This new method could consider the influence of the hold-down force and the spring stiffness at the same time. The results suggest that, the hold-down force and friction have greater influence on the vibration characteristics of core barrel than the spring stiffness, and the influence is nonlinear. The influence of the boundary condition on beam mode is greater than that on shell mode for core barrel.

• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.229-239
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• 2007

We present a diagnostic method for the quasi-likelihood estimators in generalized linear models. Since these estimators can be usually obtained by iteratively reweighted least squares which are well known to be very sensitive to unusual data, a diagnostic step is indispensable to analysis of data. We extend the local influence approach based on the maximum likelihood function to that on the quasi-likelihood function. Under several perturbation schemes local influence diagnostics are derived. An illustrative example is given and we compare the results provided by local influence and deletion.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.497-505
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• 2003

Under normality assumption, the tolerance interval for a future observation is sometimes of great interest in statistics. In this paper, we state the influence function on the standard deviation $\sigma$, and use it to derive the influence function on tolerance limits. Simulation study shows that the two influence functions perform very well.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.205-214
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• 2007

This paper aimed to exam the influence factor of purchasing decision making of industrial buyer and analyze their effects on success. To accomplish this purpose, this study examined previous studies and summarized influence factors of purchasing decision making of industrial buyer. From previous studies, we drew influence factor. influence factor is buying center, character of industrial goods provider, perceive risk.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.465-474
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• 2015

In this paper, we study the local influence analysis of LIU type estimator in the linear mixed models. Using the method proposed by Shi (1997), the local influence of LIU type estimator in three disturbance models are investigated respectively. Furthermore, we give the generalized Cook's distance to assess the influence, and illustrate the efficiency of the proposed method by example.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.72-75
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• 2006

Event trees are widely used graphical tool to denote the accident inintiation and escalation to more severe accident. But they have some drawbacks in that they do not have efficient way of updating model parameters and also they can not contain the information about dependency or independency among model parameters. A tool that can cure such drawbacks is an influence diagram. We introduce influence diagrams and explain how to update model parameters and obtain predictive distributions. We show that an event tree can be converted to a statistically equivalent influence diagram, and bayesian prediction can be made more effectively through the use of influence diagrams.

• Korean Journal of Human Ecology
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• v.22 no.4
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• pp.707-718
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• 2013

The purpose of this study was to examine media influence on college students' thoughts and explore determinants of the media influence. Between September 7, 2013, and September 12, 2013, a questionnaire survey was administered to students at university-A and total 328 useable responses were collected. Findings are as follows: (1) Houses in TV drama had a strong influence on college students' future housing preferences but had a relatively weak influence on housing satisfaction and concrete housing expectations; (2) students perceived that houses in TV dramas did not reflect reality well; (3) females and/or relatively younger respondents tended to perceive a stronger influence of media on their thoughts and expectation on housing; (4) respondents who had a stronger desire to imitate lifestyle of TV drama characters and a stronger perception that houses in TV drama reflected reality well, and the respondents whose consumption preferences were more easily influenced by media were found to perceive media influence on their housing expectation stronger; and (5) to see regression analysis results, a linear combination of desire to imitate lifestyle of TV drama characters, perception of reality reflection of houses in TV dramas, gender, perceived media influences on clothes and accessories, and electronics preferences was found to be able to explain 46.4% of variance in media influence on housing expectations.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.157-169
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• 2018

This study aims to examine the factors influencing user attitude toward Smart Home service as the demand of Smart Home service is increasing and it somewhat involves privacy risk. To this end, the research model includes five independent variables, trust in service provider, perceived privacy risk, self efficacy, interpersonal influence, and external influence, influencing the attitude toward Smart Home service. So, this study aims to analyze which variable is the most critical and influential among the five factors and suggest the direction of Smart Home industries. This study first reviews the literature on Smart Home services and describes its Korean situation. Data were collected from residents living in a smart apartment complex. The results show that (1) users have a very positive attitude toward Smart Home service in total, (2) trust in service providers, self efficacy, and interpersonal influence positively impact user attitude toward Smart Home service and interpersonal influence is the most influential variable, however, (3) perceived privacy risk and external influence dose not significantly impact it. These results imply that the role of service providers, self efficacy, and interpersonal influence are important factors on the user attitude toward Smart Home service. Finally, the study's findings and limitations are discussed and potential avenues for future research are suggested.