• Journal of the Korean Data and Information Science Society
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• v.13 no.1
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• pp.35-45
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• 2002

For improving the quality of survey dat a of sensitive character, we suggest a conditional in direct survey method. In th at method, only the respondents who answer directly to the less sensitive question respond indirectly to the more sensitive one by using the one sample unrelated question randomized response technique with the known $\pi_y$, the true proportion of unrelated group Y. We extend it to two sample method when $\pi_y$ is unknown. We also consider the case that people who possess less sensitive character answer untruthfully. Finally we compare our method with the methods of Greenberg et al. and Carr et al..

• Journal of the Korean Home Economics Association
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• v.49 no.4
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• pp.25-35
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• 2011

This study was intended to suggest overseas expansion strategy of Korean fashion character through sensitive space creation. This study reviewed literature, and did internet searching and observation. For the research methods were the analysis of the main retail spaces utilizing character and case study for the classification of collaboration types between retail space and character. As a results, 8 collaboration types between space and character were extracted: collaboration between retail distribution space and character, collaboration between product space and character, collaboration between service space and character, collaboration between experience space and character, collaboration between moving space and character, collaboration between publicity & advertising space and character, and collaboration between exhibition space and character. This study suggested the necessity of consistent identity strategy between character and retail space for a new character brand and the effectiveness of collaboration strategy for enhancement of character brand awareness.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2883-2893
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• 2018

We suggest a stratified conditional unrelated question randomized response model to more efficiently estimate a sensitive character A when the population is composed of several strata. In that model, only the respondents who answered "yes" through randomization device which was consisted of a less sensitive character B and a question forcing to answer "yes" respond to our suggested model and we deal with two allocation problems of proportional allocation and optimal one. We expand the suggested model into two sample stratified conditional unrelated question model to cover the case of unknowing unrelated character and deduce minimal variance through optimal sample size of stratum h. Finally, we show that the suggested model is more efficiency than stratified unrelated models and the stratified Carr et al.'s model (1982) under some given conditions, and show numerically that the smaller the values ${\pi}_{h2}$ and ${\pi}_{hy}$, the more efficiency the fit of the model.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.469-472
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• 2003

Skew is inevitably occurred in a scanned document image Thus, character recognition systems are generally very sensitive to a skew angle. In this paper, we propose a robust slant correction algorithm based on dithering and estimating vortical transition. Character strings are segmented by projecting the vertical transition point and the slant corrected image. The segmentation method using the vertical transition point can effectively split the character strings touching vertically each other. Experimental results show that the proposed method has achieved robust slant correction and good performance of character string segmentation.

• Communications for Statistical Applications and Methods
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• v.16 no.1
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• pp.169-183
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• 2009

The simplicity and wide application of Greenberg et al. (1971) prompts to propose a set of alternative estimators of population total for multi-character surveys that elicit simultaneous information on many. sensitive study variables. The proposed estimators take into account the already known rough value of the correlation coefficient between Y(the characteristic under study) and p(the measure of size). These estimators are biased, but it is expected that the extent of bias will be smaller, since the proposed estimators are suitable for situations in between those optimum for the usual estimators and the estimators based on multi-characters for no correlation. The relative efficiency of the proposed estimators has been studied under a super population model through empirical study. It has been found through simulation study that a choice of an unrelated variable in the Greenberg et al. (1971) model could be made based on its correlation with the auxiliary variable used at estimation stage in multi-character surveys.

• Korean Institute of Interior Design Journal
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• no.39
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• pp.28-36
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• 2003

The yardstick of value has transformed into personal and sensitive one after it went through an Industrial society. The space in the society of sensitivity is defined by a semiotic character rather than as a physical object aimed at satisfying basic desire. Through this character, space makes a meaning and comes to exist an exchanging productive place. Environmental transformation is demanding further ample sensitive expression. In connection with the above, this thesis aims to identify the characteristics of sensitive and human-centered approach and systematize the analogy analysis which is applied to the interior space, classified by elements by introducing the concept of analogic inference in the field of rhetoric and through a diverse genres. As an approach, this thesis is entitled the analogic inference of the field of rhetoric to various art genres, and as a analogic interpretation genre, this thesis Is subdivided it into the fields of literature, image, fashion, flower art, and visual design, and study the analysis of analogic inference as a means of materializing storied space through the connection literature with design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4835-4848
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• 2020

The recent expansion of the digital content market is increasing the technical demand for various facial image transformations within the virtual environment. The recent image translation technology enables changes between various domains. However, current image-to-image translation techniques do not provide stable performance through unsupervised learning, especially for shape learning in the face transition field. This is because the face is a highly sensitive feature, and the quality of the resulting image is significantly affected, especially if the transitions in the eyes, nose, and mouth are not effectively performed. We herein propose a new unsupervised method that can transform an in-wild face image into another face style through radical transformation. Specifically, the proposed method applies two face-specific feature loss functions for a generative adversarial network. The proposed technique shows that stable domain conversion to other domains is possible while maintaining the image characteristics in the eyes, nose, and mouth.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.535-542
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• 2015

This study performs statistical analysis through a questionnaire in order to examine effects of shapes of beards on a formation of male image in male/female workers in their 30s-40s. The findings suggest that sensitive image response factor depending on the shapes of beards functions as an important one in the modifications of attraction, character and image. Although there is a difference between male and female, in the preference for beards' shapes effective in the change of image, no difference is found in sensitive responses of them according to quantities of beards. This study has an implication for quantifying sensitive responses to the formation effect of male image depending on the shapes of them. It provides a guideline for total image making to males who want to change their external image formation according to shape changes of beards in the future, and is simultaneously expected to be used as basic and applied materials in the beauty industry for males.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.56-62
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• 2015

The Hausdorff distance is commonly used as a similarity measure between two-dimensional binary images. Since the document images may be contaminated by a variety of noise sources during transmission, scanning or conversion to digital form, the measure should be robust to the noise. Original Hausdorff distance has been known to be sensitive to outliers. Transforming the given image to grayscale image is one of methods to deal with the noises. In this paper, we propose a Hausdorff distance applied to grayscale images. The proposed method is tested with synthetic images with various levels of noises and compared with other methods to show its robustness.

• Archives of design research
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• v.18 no.2 s.60
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• pp.133-142
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• 2005

Recently, on-line users prefer image and sense that are deviated from standardization pattern. Also, they need instant and mutual exchangeable communication forms. Developing the various Avatars is required to apply it to various situations. It is due to that the Avatar is used as a card in the on-line communication to represent the user's character visually. The Avatar in the on-line game, such as poker or go-stop which are the most popular nowadays, does not have different character from general community site. Therefore, it dose not satisfy owner who needs sensitive and various character of the Avatar. In this paper, we will be analysis the card game Avatar service, character and desire of the user in existing game petal sites. Also, we'll provide service method which can satisfy the user's requirements. For this, we survey recognition and design preference of users on the card game Avatar.