• Journal of Korean Academy of Nursing Administration
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• v.15 no.1
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• pp.54-63
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• 2009

Purpose: The purpose of this study was to identify the relationship among image of nurses, self esteem and professional socialization in nursing students. Method: Using a structured questionnaire, data were collected from 342 nursing students. Descriptive statistics, Pearson correlation coefficient, t-test, ANOVA, and $Scheff{\acute{e}}$ test with SAS package were used for data analysis. Results: The mean score of total image of nurses was 3.74, with scores for subcategories as follows: professional image 4.04, traditional image 3.77, personal image 3.65, social image 3.47. And the mean score of self esteem 3.58 and professional socialization was 3.73. Total image of nurses and total subcategories of image of nurses were positively related to self esteem and professional socialization. Also total professional socialization and total subcategories of professional socialization were positively related to self esteem. Conclusion: Through this results, the educational program for improvement of professional socialization is needed for nursing students.

• International Journal of Contents
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• v.11 no.2
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• pp.20-30
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• 2015

We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.6-9
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• 2012

In this study, we compare two image denoising methods which are the Rudin-Osher-Fatemi total variation (TV) model and the nonlocal means (NLM) algorithm on medical images. To evaluate those methods, we used two well known measuring metrics. The methods are tested with a CT image, one X-Ray image, and three MRI images. Experimental result shows that the NML algorithm can give better results than the ROF TV model, but computational complexity is high.

• Journal of Korean Public Health Nursing
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• v.24 no.1
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• pp.29-38
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• 2010

Purpose: To examine the image of nurses as perceived by nursing students and clarify the image determinants. Methods: Subjects were 260 nursing students from a nursing college in Chungcheongbuk-Do. They received and completed a structured questionnaire from March 12 to April 20. 2007. The questionnaire data was analyzed using SPSS Win 12.0. Results: The mean score of the image of nurses was 115.89 of a total 165. According to the subjects' general characteristics, the image of nurses was lower in 2nd and 3rd year nursing students who did not profess a religious affiliation, those without a nurse among their relatives, those who were neutral concerning nursing science, those whose perceived personality was negative, and in those whose perceived adaptability was moderate. The mean score of the image of nurses per item was 3.51 of a total 5, the lowest item of image of nurses was 'Many opportunities for promotion'. The mean score of factors determining the image of nurses was 3.86 of a total 5, the highest one was 'Nurses' expert knowledge'. Conclusion: Intervention to improve the image of nurses by nursing students is prudent.

• Korean Journal of Human Ecology
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• v.12 no.3
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• pp.391-402
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• 2003

Total image consists of body analysis, fashion coordination, and manners. This stydt will be utilized to develop a clinic program using the concept of total image, with a focus on manners, which is important in the modem age. The manners was examined m the following categories; the importance of manners, level of manners, he order of manners sents felt important, and contents of manners the subjects deemed necessary. The research was conducted using 400 male and female college students living In the Daejeon area. The data were processed statistically using the SPSS package, and administered the frequency and percentages, andthe $x^2-test$. Results are as follows. Both male and female students acknowledged manners as a significant factor in forming the total image, and they possessed a medium level of manners. College students felt the importance of manners in the following order: everyday life manners, facing manners, telephone manners, and fashion coordination manners. There was a difference between male and female students in the contents of manners. Whereas manners the subjects deemed necessary for male students were facing manners(name use, introduction, handshaking, card exchange), everyday life manners(drinking, moking), those for female students were telephone manners, facing manners(greeting, expression), everyday life manners(individual life, eating, visiting), fashion coordination manners(special occasions, interviews. invitations, MT).

• Journal of applied mathematics & informatics
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• v.38 no.5_6
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• pp.519-532
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• 2020

In this paper, we first propose a new total variation-based regularization model for image restoration. We next propose a fixed-point-like method for solving the new image restoration model, and then we provide convergence analysis for the fixed-point-like method. To evaluate the feasibility and efficiency of the fixed-point-like method for the new proposed total variation-based regularization model, we provide numerical experiments for several test problems.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.1
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• pp.41-48
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• 2022

This paper presents the unified Bayesian Tikhonov regularization method as a solution to total variation regularization. The integrated method presents a formula for obtaining the regularization parameter by transforming the total variation term into a weighted Tikhonov regularization term. It repeats until the reconstructed image converges to obtain a regularization parameter and a new weighting factor based on it. The experimental results show the effectiveness of the proposed method for the image restoration problem.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.388-394
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• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.

• Journal of radiological science and technology
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• v.20 no.1
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• pp.35-38
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• 1997

Scintigraphic measurement of gastric emptying time has been reported to be influenced by the variation in depth of radionuclide within the stomach. This study was designed to clarify whether a part of the variability in gastric emptying could be ascribed to a relationship between anterior image, the total anteroposterior Image and the tissue attenuation correction(geometric mean). A dual-head scintillation camera(ADAC, USA) was used to investigate effect of such changes. We were performed 16 normal subject gastric emptying studies with $^{99m}TC$ labelled scramble egg, milk and solid meal(610 Kcal, 300 g) The results are as follows; On anterior Image, $T_{1/2}$ emptying time was delayed by 5 min, 6.5%(range $3{\sim}18\;min,\;5{\sim}31.4%$) compared with the geometric mean. But there was no different gastric emptying time between the total anteroposterior image and geometric mean. Therefore, if will be useful to use the method of geometric mean or the total anteroposterior image to evaluate the gastric emptying time accurately.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2243-2245
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• 1998

In this paper, we treat image segmentation as a graph partitioning problem. and use the normalized cut for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different graphs as well as the total similarity within the groups. The minimization of this criterion can formulated as a generalized eigenvalues problem. We have applied this approach to segment static image. This criterion can be shown to be computed efficiently by a generalized eigenvalues problem