• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.342-349
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• 2017

The purpose of this study was to compare nurses' image perceived by two group of nursing students as clinical practice experience and non-clinical practice experience. This study used 400 questionnaires from nursing students in C city to collect data from September 2 to September 9, 2014 The data were analyzed by SPSS/WIN 18.0 program using descriptive statistics, ${\chi}^2$-test, t-test, ANOVA, ANCOVA. According to the result, The nurse image was significantly different between the two groups(F=4750.2, p<.001). Also, the traditional image(F=3631.5, p<.001), social image(F=2872.5, p<.001), professional image(F=4022.9, p<.001), and personal image(F=1812.9, p<.001) of the nurse image sub-domain showed statistically significant differences. Therefore, In order to enhance the image of nurses after clinical practice of nursing college students, continuous efforts will be needed not only in clinical field and nursing college's efforts but also in policy support for nurses' independent work expansion.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.785-795
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• 2014

The purpose of this study was to develop and validate of Smoker Image Scale and to evaluate the effect of the smoker image on adulthood smoking intention of youth. Data were collected from 610 high school students were analysed using SPSS 21.0 and AMOS 21.0 programs. Smoker Image Scale were developed and verified the reliability and validity. In addition, ordinal logistic regression analysis was implemented for impact of smoker image on adulthood smoking intention. As a results of analysis, first, the developed Smoker Image Scale confirmed with 10 items in 1 factor and Cronbach's ${\alpha}$ was .91. Second, men and smokers had significantly higher positive smoker image formed by cigarette advertising. Third, positive smoker image had a significant positive effect on adulthood smoking intention while controlling of gender and smoking status. Positive smoker image formed by cigarette advertising was associated with adulthood smoking intention of youth. Based on these findings, implications and suggestions for future research were discussed for the risk of adulthood smoking intention of youth.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.247-256
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• 2017

21st century has become an era can design human's image. By designing the each human's images it is possible to express the hidden abilities of their mind. Modern society changes rapidly where the elements such as consideration, sympathy, understandings, and female leadership of communication emerge as a spur rather than speediness or complexity.In a lot of global conglomerates, it is very common for women to be selected as CEO, and even more, the rate of woman who are the member of Congress is almost 40%. The fashion of female leader has come to the fore with an improvement of female leadership, and the fashion colour which is suitable to P.O has been developed as a significant image strategy. I am going to conduct the research and analyse the fashion of a female political leader through the colour image which is equivalent to a visual image and sensitive language. I will analyze the human image which female leaders present through fashion colors.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.449-456
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• 2011

The purpose of this study was to examine the change of Korean image, product image, purchase intention and revisit intention after successful results in the global sport event. A group of intercollegiate students were selected using the purposive sampling method for the study. Statistical methods were used for enhancing validity and reliability for this paper such as t-test, regression analysis, reliability analysis, frequency analysis, descriptive analysis and confirmatory factor analysis. The statistical package programs for this research were SPSS(ver. 12.0) and AMOS (ver. 7.0). The conclusion of this research were; (1) There are significant differences in factors such as Korean image, product image, purchase intention and revisit intention before and after the global sport events. (2) There are significant differences in factors before and after the global sport events when two groups were separated in terms of event involvements.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.11
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• pp.1043-1051
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• 2007

The digital sun sensor calculates the incident sunlight angle using the sunlight image registered on a CMOS image sensor. In order to accomplish this, an exact center of the sunlight image has to be determined. Therefore, an accurate estimate of the centroid is the most important factor in digital sun sensor development. The most general method for determining the centroid is the thresholding method, and this method is also the simplest and easy to implement. Another centering algorithm often used is the image filtering method that utilizes image processing. The sun sensor accuracy using these methods, however, is quite susceptible to noise in the detected sunlight intensity. This is especially true in the thresholding method where the accuracy changes according to the threshold level. In this paper, a template method that uses the sunlight image model to determine the centroid of the sunlight image is suggested, and the performance has been compared and analyzed. The template method suggested, unlike the thresholding and image filtering method, has comparatively higher accuracy. In addition, it has the advantage of having consistent level of accuracy regardless of the noise level, which results in a higher reliability.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1655-1666
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• 2015

In this paper, user-position estimation method is proposed by using a single camera for both indoor and outdoor environments. Conventionally, the GPS of RF-based estimation methods have been widely studied in the literature for outdoor and indoor environments, respectively. Each method is useful only for indoor or outdoor environment. In this context, this study adopts a vision-based approach which can be commonly applicable to both environments. Since the distance or position cannot be extracted from a single still image, the reference images pro-stored in image database are used to identify the current position from the single still image captured by a single camera. The reference image is tagged with its captured position. To find the reference image which is the most similar to the current image, the SURF algorithm is used for feature extraction. The outliers in extracted features are discarded by using RANSAC algorithm. The performance of the proposed method is evaluated for two buildings and their outsides for both indoor and outdoor environments, respectively.

• Journal of KIISE:Databases
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• v.35 no.4
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• pp.345-355
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• 2008

SIFT is popularly used in computer vision application such as object recognition, motion tracking, and 3D reconstruction among various shape descriptors. However, it is not easy to apply SIFT into the image similarity search as it is since it uses many high dimensional keypoint vectors. In this paper, we present a SIFT based image similarity search method using an edge image pyramid and an interesting region detection. The proposed method extracts keypoints, which is invariant to contrast, scale, and rotation of image, by using the edge image pyramid and removes many unnecessary keypoints from the image by using the hough transform. The proposed hough transform can detect objects of ellipse type so that it can be used to find interesting regions. Experimental results demonstrate that the retrieval performance of the proposed method is about 20% better than that of traditional SIFT in average recall.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.193-202
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• 2008

In this study, we want to composite the source image and the target image when the environment includes water surface in the target image such as lake, sea, etc. The water surface is different from other common environment. On the water surface, the object must be reflected or refract and sometimes is deformed by the wave of water. In order to composite the object in the source image onto the water image, we analyze the water surface of the target image and let the object be synthesized realistically based on the wave of water. Our composite process consists of three steps. First. we use Shape-from-Shading technique to extract the normal vector of the water surface in the target image. Next, the source image is deformed according to the normal vector map. Finally, we composite the deformed object onto the target image.

• Journal of KIISE:Databases
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• v.29 no.1
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• pp.27-33
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• 2002

There are two significant drawbacks in triple image indexing; one is that is cannot support concept-based image retrieval and the other is that it fails to allow disjunctive labeling of images. To remedy the drawbacks, we propose a new technique supporting a concept-based retrieval against images indexed by indefinite fuzzy triples (I-fuzzy triples). The I-fuzzy triples allow not only a disjunctive image labeling, but also a concept-based matching against images labeled disjunctively. The disjunctive labeling is based on the expended closed world assumption and the concept-based image retrieval is based on fuzzy matching. In this paper, we also propose a concept-based query evaluation against the image database to extract desired answers with the degree of certainty $\alpha$$\in$[1,0].

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.75-81
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• 2013

We presents a novel (2, 2) secret sharing (SS) scheme for all grayscale images. Generally, a secret image is distribute more than two shadow images, which are dealt out among participants. In order to find out secret image, participants print shadow images to transparent papers. Then, a secret image will appear as stacking transparent papers. The secret sharing scheme in this paper distribute secret image into natural grayscale images using multiplexer and data hiding scheme. After then, two participant have two shadow images respectively. The merit of the proposed scheme is that shadow images have small loss in aspect of the quality with steganographic features. Therefore, the proposed secret sharing scheme in this paper is not easily detected by attackers. The experiment result verified that the proposed scheme, obviously outperforms previous SS schemes.