• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.383-392
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• 1999

Recently, the hospitals in Korea has positively changed one way or another. Therefore hospital managers must focus on the nurses' role in terms of consumers' perception of overall image of hospitals and the degree of satisfaction of the consumers. To achieve the purposes, the questionnaire was developed and distributed to 280 people who had a direct experience with nursing services subjected hospitals in Seoul at the time of screening. Among them, 229 responses were turned out to be useful and used for final analysis. The measurement instrument for hospital nursing service quality evaluation was modified from the SERVQUAL model originated from Parasuraman, Zeithaml, and Berry (1988). For data analysis, SPSS/PC and PC-MDS program were used. The results were as follows : 1) The perception map showed that the seven subjected hospitals were divided into three groups. It could be interpreted that the hospitals in the same group had a strong competitive relationships. Because the nursing services' scores of hospitals C and E were higher than those of other hospitals, they could be served as a benchmark for the other hospitals. 2) The marketing place of hospital nursing services was divided by four. Since service generally had a strong point in nearby service market segment. Aiming an nearby hospital nursing services market segment by the hospital nursing services department was regarded as a good repositioning strategy. 3) When consumers evaluated the quality of hospital nursing services, they were greatly affected by the hospitals' overall image or other characteristics. Therefore, for improving hospital's nursing services, hospital nursing services department requires a great deal of labor to improve hospitals' overall image or other characteristics.

• Journal of the Korean Home Economics Association
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• v.47 no.3
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• pp.35-44
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• 2009

The purpose of this study is to analyze the relationships between clothing image and clothing shopping orientation of middle aged women. For this purpose, the subjects of 300 adult women from in their 40’s to 50’s, living in Daegu area were sampled out by convenient sampling method. The result of this analysis are as follows. 1)a factor analysis identified six different types of clothing image: classy, bold, plain, feminine, casual, and peculiar. 2)five different types of clothing shopping orientation were identified: conspicuous, conformable, hedonic, uniqueness conscious, and quality conscious. 3)the results of multiple regression analysis found that clothing images affected clothing shopping orientation of middle aged women. This meant that significant relationships existed among these variables and there was a causal relationship between clothing image and clothing shopping orientation.

• Korean Journal of Radiology
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• v.24 no.10
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• pp.1006-1016
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• 2023

Objective: Computed tomography (CT) is an established method for the diagnosis, staging, and treatment of multiple myeloma. Here, we investigated the potential of photon-counting detector computed tomography (PCD-CT) in terms of image quality, diagnostic confidence, and radiation dose compared with energy-integrating detector CT (EID-CT). Materials and Methods: In this prospective study, patients with known multiple myeloma underwent clinically indicated whole-body PCD-CT. The image quality of PCD-CT was assessed qualitatively by three independent radiologists for overall image quality, edge sharpness, image noise, lesion conspicuity, and diagnostic confidence using a 5-point Likert scale (5 = excellent), and quantitatively for signal homogeneity using the coefficient of variation (CV) of Hounsfield Units (HU) values and modulation transfer function (MTF) via the full width at half maximum (FWHM) in the frequency space. The results were compared with those of the current clinical standard EID-CT protocols as controls. Additionally, the radiation dose (CTDIvol) was determined. Results: We enrolled 35 patients with multiple myeloma (mean age 69.8 ± 9.1 years; 18 [51%] males). Qualitative image analysis revealed superior scores (median [interquartile range]) for PCD-CT regarding overall image quality (4.0 [4.0-5.0] vs. 4.0 [3.0-4.0]), edge sharpness (4.0 [4.0-5.0] vs. 4.0 [3.0-4.0]), image noise (4.0 [4.0-4.0] vs. 3.0 [3.0-4.0]), lesion conspicuity (4.0 [4.0-5.0] vs. 4.0 [3.0-4.0]), and diagnostic confidence (4.0 [4.0-5.0] vs. 4.0 [3.0-4.0]) compared with EID-CT (P ≤ 0.004). In quantitative image analyses, PCD-CT compared with EID-CT revealed a substantially lower FWHM (2.89 vs. 25.68 cy/pixel) and a significantly more homogeneous signal (mean CV ± standard deviation [SD], 0.99 ± 0.65 vs. 1.66 ± 0.5; P < 0.001) at a significantly lower radiation dose (mean CTDIvol ± SD, 3.33 ± 0.82 vs. 7.19 ± 3.57 mGy; P < 0.001). Conclusion: Whole-body PCD-CT provides significantly higher subjective and objective image quality at significantly reduced radiation doses than the current clinical standard EID-CT protocols, along with readily available multi-spectral data, facilitating the potential for further advanced post-processing.

• Culinary science and hospitality research
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• v.18 no.2
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• pp.91-105
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• 2012

This study aims to analyze the effects of satisfaction on behavioral intentions depending on brand equity based on the consumers who visited specialty coffee shops in Busan. The self-administered method was used for empirical analysis and 295 copies (89%) out of 300 copies of questionnaires were used for analysis. For data processing, the SPSS WIN Version 15.0 statistical package program was used and the frequency analysis, reliability analysis, factor analysis were conducted so the hypothesis was verified through the regression analysis. As a result, for the hypothesis that "Brand equity(perceived quality, brand awareness, brand image) will have a significant impact on satisfaction," perceived quality, brand awareness, and brand image had a significant impact on satisfaction. Satisfaction was shown to have a significant impact on behavioral intentions for the hypothesis that "Satisfaction will have a significant impact on behavioral intentions" For the hypothesis that "Brand equity(perceived quality, brand awareness, brand image) will have a significant impact on behavior intentions," perceived quality and brand awareness had a significant impact on behavioral intentions while brand image didn't. Based on the results of this study, companies should be systematically managed to prepare strategies to remind consumers of their brands and focus on to strengthen brand equity effectively in order to build a competitive brand.

• Korean Journal of Radiology
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• v.22 no.10
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• pp.1597-1608
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• 2021

Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innovation related to image acquisition and analysis. Artificial intelligence can be incorporated into various clinical applications of cardiovascular CT, including imaging of the heart valves and coronary arteries, as well as imaging to evaluate myocardial function and congenital heart disease. This review summarizes the latest research on the application of deep learning to cardiovascular CT. The areas covered range from image quality improvement to automatic analysis of CT images, including methods such as calcium scoring, image segmentation, and coronary artery evaluation.

• Korean Journal of Environment and Ecology
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• v.7 no.2
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• pp.231-240
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• 1994

The purpose of this study is to suggest the objective basic data for applying to development and conservation management of the national park through the quantitative analysis of the visual quality included in the and physical environment of the Tokyusan National Park. For this, spatial images and structures, of natural elements have been analyzed by factor analysis algorithm, and degree of visual quality has been measured mainly through questionnaries. Result of this study can be summarized as follows. Factors covering the spatial image of the Tokyusan National Park landscape have been found to be the overall synthetic evaluation, appeal, spatial, natural quality and dignity factors such as the overall synthetic evaluation, spatial and appeal yield high factor scores. The main factors determining the degree of visual quality are the clearness valley, peculiarity of configuration, natural of trail, harmony of suitable artificial planting and temple.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.4 s.36
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• pp.252-261
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• 1990

This study intends to provide a beneficial foundation which can aid our understanding of how a clothing consumer group can be classified according to the clothing buying motives, and what differences are there about the importances of stroe image attribute among them and how consumer's preferences to the store image are shown differently among them and ultimately, some concrete data which can be useful in establishing efficient store image strategies for clothing stores. 413 subjects were gathered through convenience sampling method and, for data analysis, cronbach'$\alpha$, frequency, percentage, mean, $x^{2}-text$, 1-test, ANOVA, Duncan Multiple Range Test, Factor Analysis, Cluster Analysis were conducted. The results are as follows; 1. Three kind of factors in the clothing buying motives were determined for analysis of consumers group and by which it was revealed as to be significant for us to classify them four subdivisions; those of fashion pursuit group, self display group, financial utilitarian group, individual group. 2. Importance on store image attribute was revealed then the middle aged women regarded quality, price, service in order as more important factors than others. 3. Store image preferences show significantly when concerned with quality, price, fashion, impression and age of store personnel, convenience for exchanging and returning goods, credit, delivery and repair, mailing of catalogue and discount coupon, exit from, brightness of store among consumer groups. From these findings, concretely store image strategies are proposed.

• Asian Journal of Atmospheric Environment
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• v.5 no.1
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• pp.8-20
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• 2011

Atmospheric visibility is one of the indicators used to evaluate the status of air quality. Based on a conceptual definition of visibility as the maximum distance at which the outline of the selected target can be recognized, an image analysis technique is introduced here and an algorithm is developed for visibility monitoring. Although there are various measurement techniques, ranging from bulk and precise instruments to naked eye observation techniques, each has their own limitations. In this study, a series of image analysis techniques were introduced and examined for in-situ application. An imaging system was built up using a digital camera and was installed on the study sites in Incheon and Seoul separately. Visual range was also monitored by using a dual technology visibility sensor in Incheon and transmissometer in Seoul simultaneously. The Sobel mask filter was applied to detect the edge lines of objects by extracting the high frequency from the digital image. The root mean square (RMS) index of variation among the pixels in the image was substantially correlated with the visual ranges in Incheon and Seoul with correlations of $R^2$=0.88 and $R^2$=0.71, respectively. The regression line equations between the visual range and the RMS index in Incheon and Seoul were VR=$2.36e^{0.46{\times}(RMS)}$ and VR=$3.18e^{0.15{\times}(RMS)}$, respectively. It was also confirmed that the fine particles ($PM_{2.5}$) have more impacts to the impairment of visibility than coarse particles.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.5
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• pp.690-695
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• 2014

This paper presents a modified CCI image interpolation method based on the even-odd decomposition (EOD). The CCI method is a well-known technique to interpolate images. Although the method provides better image quality than the linear interpolation, its complexity still is a problem. To remedy the problem, this paper introduces analysis on the EOD decomposition of CCI and then proposes a reduced CCI interpolation in terms of complexity, providing better image quality in terms of PSNR. To evaluate the proposed method, we conduct experiments and complexity comparison. The results indicate that our method do not only outperforms the existing methods by up to 43% in terms of MSE but also requires low-complexity with 37% less computing time than the CCI method.

• Journal of radiological science and technology
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• v.42 no.2
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• pp.119-130
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• 2019

Positron emission tomography (PET) is widely used imaging modality for effective and accurate functional testing and medical diagnosis using radioactive isotopes. However, PET has difficulties in acquiring images with high image quality due to constraints such as the amount of radioactive isotopes injected into the patient, the detection time, the characteristics of the detector, and the patient's motion. In order to overcome this problem, we have succeeded to improve the image quality by using the dynamic image reconstruction method based on singular value decomposition. However, there is still some question about the characteristics of the proposed technique. In this study, the characteristics of reconstruction method based on singular value decomposition was estimated over computational simulation. As a result, we confirmed that the singular value decomposition based reconstruction technique distinguishes the images well when the signal - to - noise ratio of the input image is more than 20 decibels and the feature vector angle is more than 60 degrees. In addition, the proposed methode to estimate the characteristics of reconstruction technique can be applied to other spatio-temporal feature based dynamic image reconstruction techniques. The deduced conclusion of this study can be useful guideline to apply medical image into SVD based dynamic image reconstruction technique to improve the accuracy of medical diagnosis.