• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.05a
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• pp.327-330
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• 2009

A Through-Bulkhead Initiation Module(TBIM) using CH-6 was designed. The TBIM works as the shock-wave generated by a donor charge transmits to the acceptor charge. The structural safety of TBIM housing was calculated via modeling analysis, and the ignition characteristic was proved by 10 cc closed bomb test(CBT). The reliability analysis was made using Probit method on the basis of CBT results. The optimal bulkhead thickness of TBIM which is the most important design parameter was determined using reliability analysis.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.553-564
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• 2016

Purpose: The purpose of this study was to propose useful suggestions by analyzing reliability of guided missile using field data in Military industry. Methods: The collected data from Defense industry company and the military were analyzed using probit analysis which is non-linear model because field data contain binary variable. Results: The results of this study are as follows; It was found that the effect of time was significant. It takes about 12.4 years when 10st percentile of guided missiles are not working and it takes about 18.6 years when 50st percentile of guided missiles are not working. It was found that period between 10years to 15years comes less than reliability 0.0. Conclusion: Periodical check needs to extend from 4 year to 10 year partially. Early LOT need to check per 4 year and follow-up LOT extend the period of check to 10 year by reflecting the result of reliability.

• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.363-376
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• 2012

Excessive zeroes are often observed in ordinal categorical response variables. An ordinary ordered Probit model is not appropriate for zero-inflated data especially when there are many different sources of generating 0 observations. In this paper, we apply a two-stage zero-inflated ordered Probit (ZIOP) model which incorporate the zero-flated nature of data, propose a Bayesian analysis of a ZIOP model, and apply the method to alcohol consumption data collected by the National Bureau of Statistics, Korea. In the first stage of a ZIOP model, a Probit model is introduced to divide the non-drinkers into genuine non-drinkers who do not participate in drinking due to personal beliefs or permanent health problems and potential drinkers who did not drink at the time of the survey but have the potential to become drinkers. In the second stage, an ordered probit model is applied to drinkers that consists of zero-consumption potential drinkers and positive consumption drinkers. The analysis results show that about 30% of non-drinkers are genuine non-drinkers and hence the Korean alcohol consumption data has the feature of zero-inflated data. A study on the marginal effect of each explanatory variable shows that certain explanatory variables have effects on the genuine non-drinkers and potential drinkers in opposite directions, which may not be detected by an ordered Probit model.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.11a
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• pp.400-403
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• 2011

We performed Instron and Impact tests to estimate necessary explosive charge weight for cutting the cable whose diameter is 22 mm. The cutting energy measured by Instron was 21.3 J. Impact test were performed 8 times each at 5 different energies. The Impact test results were analysed by Probit methods. The cutting energy was calculated 37.7 J with 99.99% probability at 99% confidence, which is roughly equivalent to 250 mg of Zirconium potassium Perchlorate (ZPP).

• The Korean Journal of Applied Statistics
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• v.33 no.1
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• pp.25-46
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• 2020

This paper presents ordinal probit semiparametric regression models using Bayesian Spectral Analysis Regression (BSAR) method. Ordinal probit regression is a way of modeling ordinal responses - usually more than two categories - by connecting the probability of falling into each category explained by a combination of available covariates using a probit (an inverse function of normal cumulative distribution function) link. The Bayesian probit model facilitates posterior sampling by bringing a latent variable following normal distribution, therefore, the responses are categorized by the cut-off points according to values of latent variables. In this paper, we extend the latent variable approach to a semiparametric model for the Bayesian ordinal probit regression with nonparametric functions using a spectral representation of Gaussian processes based BSAR method. The latent variable is decomposed into a parametric component and a nonparametric component with or without a shape constraint for modeling ordinal responses and predicting outcomes more flexibly. We illustrate the proposed methods with simulation studies in comparison with existing methods and real data analysis applied to a Korean National Health and Nutrition Examination Survey (KNHANES) 2016 for investigating nonparametric relationship between smoking behavior and coffee intake.

• Information Systems Review
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• v.25 no.4
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• pp.205-231
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• 2023

The Information Security Management System (ISMS) is a protection procedure and process that keeps information assets confidential, flawless, and available at any time. ISMS-P in Korea and ISO/IEC 27001 overseas are the most representative ISMS certification systems. In this paper, in order to understand the relationship between ISMS certification and organizational characteristics, data were collected from Korea Internet & Security Agency (KISA), Ministry of Science and ICT, Information Security Disclosure System (ISDS), Financial Supervisory Service, Data Analysis, Retrieval and Transfer System (DART), and probit regression analysis was performed. In the probit analysis, the relationship with four independent variables was confirmed for three cases: ISMS-P acquisition, ISO/IEC 27001 acquisition, and both ISMS-P and ISO/IEC 27001 acquisition. As a result of the analysis, it was found that companies that acquired both ISMS-P and ISO/IEC 27001 had a positive correlation with the total number of employees and a negative correlation with business history. In addition, the improvement direction of the ISMS-P certification system and information security disclosure system could also be confirmed.

• Korean Journal of Organic Agriculture
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• v.21 no.4
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• pp.539-554
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• 2013

This study analyses the factors that affect the satisfaction of school meals program. To obtain the data, 54 elementary, middle and high schools in Jeonbuk area were chosen for survey. A ordered probit model analysis is conducted to identify the key explanatory variables that affect the satisfaction of school meals about elementary, middle and high school's students. Also, a ordered probit model is used to calculate marginal effects of several key variables. The study finds that key factors that affect to increase the satisfaction of school meals are rural area schools, elementary school's students, and education for school meals or food nutrition. The satisfaction of school meals in urban and rural school's students are significantly different. Also, the satisfaction of school meals about elementary, middle and high school's students are significantly different. To do this, importance of school meals is to build up the safe agricultural supply system. For safe agricultural supply system, local agricultural products provided in school meals should be supplied based on GAP, HACCP certificated companies such as US FTS(Farm to School) program.

• Korean Journal of Organic Agriculture
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• v.17 no.4
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• pp.413-439
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• 2009

This study conducts a survey and test to understand U.S. public's perception about multifunctionality. The questionnaire suggests seven alternative way of providing questions about intangible benefits provided by agriculture in the U.S. The final questionnaire was administered as an e-mail survey in June 2008 to a nationally representative household panel maintained in the U.S. by the Ipsos Observer. Data analysis shows that 64 percent of respondents considered the multifunctionality of agriculiture as an important issue and 45 percent of respondents were in favor of increasing government expenditure to support farmland preservation. Using Fishbein's multi-attribute model as a theoretical background, this paper develops an empirical model to assess and attributes of multifunctionality. For the analysis, bivariate orderd probit model was set up to reflect respondent's attitude. Regression analyses show that two questions (how much you agree with agriculture's intangible benefit and increasing government expenditure to support agriculture) are shaped by different sets of facts.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.273-276
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• 2008

A Through Bulkhead Initiation Module(TBIM) has been designed which guarantees the seal property without using O-ring. The TBIM works as the shock wave generated by a donor charge transmits to the acceptor charge. The structural safety of TBIM housing has been calculated via modeling analysis, and the ignition performance has been proved by 10 cc closed bomb test. The reliability analysis has been made using Probit method on the base of performance test results. According to the reliability analysis the bulkhead thickness of TBIM which is the most important design parameter has been determined.

• Informatization Policy
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• v.18 no.1
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• pp.45-54
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• 2011

The purpose of this study is to analyze the selection behavior decision model of telecommunications service under the telecommunication environments with joining the WiBro and 3GPP LTE-Advanced service at the sam time. The research results are as follows. First, mobile telecommunication service selection behavior is correlated with each other between WiBro and 3GPP LTE-Advanced service. Second, in the bivariate probit model estimates such as age, income, expenditure and income variable are important decision variables of WiBro and 3GPP LTE-Advanced service selection behavior. Gender and service using years, however, are not an important variables. The single and bivariate probit estimate results show the same estimation results. Finally, the two service selecting predictions by using the bivariate probit estimated results, 28.6% of WiBro and 25.3% of 3GPP LTE-Advanced were expected. Also, chance to join the two telecommunications services simultaneously is 19.3%. Therefore, WiBro selection probability is a little higher than 3GPP LTE-Advanced. The implications of these results, the future telecommunications service selection will be determined by economic factors such as income and expenditure. Thus, to enable the WiBro, policy means for reducing the excessive telecommunications expenditure are needed in the future.