• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.152-159
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• 2002

An acceptance sampling plan for products manufactured from a production process with variable fraction defective is developed. We consider a situation where defective products have short lifetimes and non-defective ones never fail during the technological life of the products. An acceptance criterion which guarantee the out going quality of accepted products is derived using the prior information on the quality of products. Numerical examples are provided.

• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.33-44
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• 2003

Typically, it should be use auxiliary variable for calibrating the survey nonreponse in census or sampling survey. Where, if the dimension of auxiliary information is large, then it nay be spend a lot of computing time, and difficult to handle data set. Also because the variance estimator depends on the dimension of auxiliary variables, the variance estimator becomes underestimator. To deal with this problem, we propose the variable selection methods for calibration estimation procedure in unit nonreponse situation and we compare the efficiency by simulation study.

• Journal of Information Technology Applications and Management
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• v.27 no.5
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• pp.23-33
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• 2020

As the 4G and 5G Internet technologies become more common and developed, an environment for uploading and watching videos is created and spread, in addition to simply uploading posts. Watching and sharing daily life among media contents called Vlog, are very common more than ever. This means that individual users could access Vlog easily and the situation could be new trend. Additionally, academic research about Volg is increasing. We analyzed three independent variables affecting a perceived enjoyment we set up the dependent variable. Information search, self-expression, and social need are set as independent variables and social interaction is set as the control variable. Information search and self-expression are significant effect to perceived enjoyment except social need. In particular, social interaction as a control variable has effect to all relationships.

• The Research Journal of the Costume Culture
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• v.8 no.3
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• pp.349-359
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• 2000

The purposes of the study were to investigate the causal relationships between shopping motivation, purchasing situation in store, experienced affection, and purchasing behavior. We collected data from 430 consumers shopping in the apparel store of two department in Busan, and analyzed by factor analysis and regression analysis. The result of this study were as follows ; 1. Purchasing situations which influenced consumers'apparel purchasing behaviors in apparel store were consisted of four factors such as Physical factor, Product factor, Inter-personal Factor and Salesmen factor. 2. Experienced affections in apparel store were consisted of four factors such as Pleasure, Ignorance, Superiority and Insecurity. 3. The main causal course of the apparel purchasing behavior was the shopping motivation → the purchasing situation in store (→the experienced affection in store) → the apparel purchasing behavior. 4. Shopping motivation appeared to be the most important variable determining purchasing behavior in apparel store. Especially, the superiority experienced in store appeared to be positive effects. 5. The causal relationships of purchasing behavior in apparel store were significant differences between two relationships by shopping motivations. In conclusion, this study showed that purchasing situation in apparel store effected on purchasing behavior with the different causal relationships by shopping motivations.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.873-883
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• 2000

The purpose of this study were to investigate the relationships of situation variables, product variables. consumer variables and impulse buying behavior in apparel store. We collected data from 462 consumers of adult women living in Pusan and analysed by factor analysis, cluster analysis, analysis of variance, t-test and discriminant analysis. The results were as follows: First, The purchase situation influenced on the impulse buying behavior consisted of the Pre-purchase condition and the Point-of-purchase state. The in-store situation consisted of the Salesman/store atmosphere, the Low price and the Possibility of out of stock. And the consumption values of apparel are divided into four factors ; Emotional/aesthetical value, Epistemic value, Functional value and Social value. The clothing shopping orientation as consumer variable extracted six factors ; Recreational orientation, Economical orientation, Brand/store loyalty orientation, Careful orientation, Apathetic orientation and Positive orientation. Consumers were classified by the cloting shopping orientation into the Convenience shopper, the Recreational shopper, the Economical shopper and the Careful shopper. Second, In comparison with the unimpulse-buyin groups, the impulse-buying group is more effected by in-store situation than purchase situation, and were more effected by Emotional/aesthetical value, Social value and Epistemic value of the consumption value. In consumer types, the more was the Recreational shopper and the Convenience shopper, the more showed impulse buying behavior. And the important factor distinguished between the impulse buying group and the unimpulse buying group was the Salesman/store atmosphere of the in-store situation.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.7
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• pp.144-150
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• 1999

n active control for the swing of crane systems is very important for increasing the productivity. This article introduces the control for the position and the swing of a crane using the fuzzy learning method. Because the crane is a multi-variable system, learning is done to control both position and swing of the crane. Also the fuzzy control rules are separately acquired with the loading and unloading situation of the crane for more accurate control. The result of simulations shows that the crane is just controlled for a very large swing angle of 1 radian within nearly one cycle.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.1-11
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• 2017

Stochastic resource-constrained project scheduling problem is an extension of resource-constrained project scheduling problem such that activity duration has stochastic nature. In real situation where activity duration is not known until the activity is finished, open-loop based static policies such as activity-based policy and priority-based policy will not well cope with duration variability. Then, a dynamic policy based on closed-loop decision making will be regarded as an alternative toward achievement of minimal makespan. In this study, a dynamic policy designed to select activities to start at each decision time point is illustrated. The performance of static and dynamic policies based on variable neighborhood search is evaluated under the discrete-event simulation environment. Experiments with J120 sets in PSPLIB and several probability distributions of activity duration show that the dynamic policy is superior to static policies. Even when the variability is high, the dynamic policy provides stable and good solutions.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.885-897
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• 2000

The use of an unweighted mean and of separate tests is part of the current practice for analyzing interlaboratory studies, and we hope to improve on this method. We fit, using maximum likelihood(ML), a rather intricate, multi-parameter measurement model with the material's true value as a latent variable in a situation where quite serviceable regression and ANOVA calculations have already been developed. The model fit leads to both a weighted estimate of he overall mean, and to tests for equality of means, slopes and variances. Maximum likelihood tests for difference among variances poses a challenge in that the likelihood can easily becoem unbounded. Thus the major objective become to provide a useful test of variance equality.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.805-810
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• 2005

The main functions of suspension system of railway vehicle are isolating vibration from track irregularity to car-body for the Ride quality and keeping its stability with limitation of vehicle's movement. These two functions conflict with each other, then it is impossible to achieve both of performance with traditional passive suspension which has constant characteristics. So, to improve this situation the active suspension was suggested and in specially the semi-active suspension is noticed for its effectiveness on cost despite of its lower performance than full-active suspension. In this study the control logic made through LQG theory was designed with simplified vehicle model and variable damper model defined by $1^{st}$ order system, then the analysis of simulation results was done to understand influence on the performance of semi-active suspension with running conditions and response characteristics of variable damper.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.04a
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• pp.225-230
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• 2004

A cold ＆ hot rolling coil production line of iron nill consists of a kind of coherent automatic process, but an automatic labelling process still had technical difficulties in the automation of its process. The reason for difficulties in building an automatic process is that quantitative data for each rolled coil from every shipping is not easy to receive from the previous process. it is not possible to apply for a general and simple purpose robot that is actually worked through a taught position to the process because the size and direction of the coi1 has differed on every shipping. From these reasons. we introduce a robot vision system to accept an expected variable situation and to ensure the stability and flexibility of the process. This paper examines a study applied for similar cases and finds the position and direction of relied coil using the moment invariant algorithm proposed by Hu. In addition. the camera calibration and position error compensation algorithm is applied by the analysis of the relationship of transition in a space coordinate system. The construction of a robot vision system proposed by this paper is a more intellectual system than that of the automatic labelling system. which is already used to the Daihen steel nill of NEW JAPAN steel mill co. Ltd in Japan, and shows a better independent operation in the field of production.