• Progress in Medical Physics
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• v.20 no.4
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• pp.244-252
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• 2009

The purpose of this study is to compensate for susceptibility and a ferromagnetic body artifact using CFA and TGV on MR Imaging. A total of 30 patients (15 men and 15 women, mean age: 45 years) were performed on head and neck diseases. MR Unit used a 1.5T superconducting magnet (GE medical system, High Density). This study have investigated by changing with CFA and TGV (70, 90, 110, 130, 150) searching for compensation values about susceptibility and a ferromagnetic body artifact in 60 kg standards of body weight (p<0.05). As a quality results, Image qualities were obtained at different score from CFA and TGV (70, 90, 110, 130, $150=3.23{\pm}0.35$, $4.31{\pm}0.02$ $4.23{\pm}0.21$, $5.12{\pm}0.25$, $7.13{\pm}0.72$, $8.31{\pm}0.01$, $5.21{\pm}0.15$, $6.14{\pm}0.08$, $5.23{\pm}0.72$, $5.91{\pm}0.06$, p<0.05). Absolute CNRs (TG, CNRpre, CNRpost) were acquired with (70:$-1.44{\pm}0.11$, $-2.7{\pm}0.04$, 90:$-2.18{\pm}0.42$, $-4.41{\pm}0.43$, 110:$-2.89{\pm}0.43$, $-5.23{\pm}0.02$, 130:$-2.34{\pm}0.05$, $-5.26{\pm}0.01$, 150: $-2.09{\pm}0.08$, $-3.87{\pm}0.12$, p<0.05). In conclusions, this study could be compensated for metal and flow artifacts surrounding the tissues having artifact by changing CFA and TGV.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.73-83
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• 2013

This study explores the ideal corporate social responsibility(CSR) that fashion consumers expect from a fashion firm in the identification of dimensions and levels of consumer expectations as well as examines the impact of CSR expectations on customer-base brand equity. The data of 315 adults were collected through a nationwide online survey. In order to analyze the data, this study employed Confirmatory factor analysis (CFA), paired t-test, structural equation modeling(SEM), and descriptive analysis. This study first identified seven fashion CSR expectations (environmental, ethical, social, internal management, philanthropic, economic, and legal expectations). Internal management and environmental activities were highly expected from fashion firms; however, economic activity was low in expectations. Five models separately tested the relationship between CSR expectations and brand equity (trustworthiness, attachment, performance, social image, and value). Economic, environmental, internal management, social and ethical CSR expectations influenced customer-based brand equity; however, philanthropic and legal expectations did not influence any dimension of customer-based brand equity. This study provides a framework of ideal CSR from a consumer perspective and suggests that fashion marketers should focus on economic, environmental, internal management, social and ethical CSR activities to meet the expect Haitians of fashion consumers and build stronger brand equity.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.143-152
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• 2022

The purpose of this paper is to investigate the impact of several factors on students' decisions to attend a public institution in Vietnam's North Central area. The enrollment issue toward regional institutions is particularly critical in the Vietnam Ministry of Education and Training reforming the university enrollment process and the complicated scenario of the Covid-19 pandemic. A total of 500 students were surveyed for research samples. Data is synthesized, validated, cleaned, and analyzed using SPSS and AMOS software using methods including reliability, EFA, CFA, and SEM. The findings suggest that the proposed independent components (individual factors, study fees, advertisement, infrastructure and facilities, local features, and lastly, training activities) have a beneficial impact on students' decision to attend a public university in the North Central region. The study also found that the graduation exam outcome had a moderating effect on the relationship between registration and students' decisions. These imply targeted solutions for regional public universities to diversify training majors, improve training quality, capitalize on local advantages, increase interaction, and promote training programs and image to be more effective in attracting students and maintaining competition in the current enrollment environment.

• Anxiety and mood
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• v.19 no.1
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• pp.1-9
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• 2023

Objective : To translate and adapt the Social Appearance Anxiety Scale into Korean and validate the Korean version of the social appearance anxiety scale, which measures the fear and anxiety about being negatively evaluated by others based on one's overall appearance, including body shape. Methods : For item translation and adaptation, six bilingual translators participated in the process of forward-adaptation and back-adaptation. Data were collected from undergraduate students. The sample size is 105 for Study 1 and 212 for Study 2. Classical item discrimination and difficulty analyses, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis were performed. Results : A unidimensional structure was found with a high internal consistency (Cronbach's α=0.95) and a high test-retest reliability (r=0.918). In addition, the concurrent validity was examined by correlations of the scale and several other scales measuring constructs related to social appearance anxiety. Conclusion : K-SAAS appears to be a reliable and valid scale for screening and assessing social appearance anxiety.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.205-215
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• 2013

In digital imaging system, Bayer pattern is widely used and the observed image is degraded by optical blur during image acquisition process. Generally, demosaicing and deblurring process are separately performed in order to convert a blurred Bayer image to a high resolution color image. However, the demosaicing process often generates visible artifacts such as zipper effect and Moire artifacts when performing interpolation across edge direction in Bayer pattern image. These artifacts are emphasized by the deblurring process. In order to solve this problem, this paper proposes a deblurring algorithm combined with edge directional color demosaicing method. The proposed method is consisted of interpolation step and region classification step. Interpolation and deblurring are simultaneously performed according to horizontal and vertical directions, respectively during the interpolation step. In the region classification step, characteristics of local regions are determined at each pixel position and the directionally obtained values are region adaptively fused. Also, the proposed method uses blur model based on wave optics and deblurring filter is calculated by using estimated characteristics of local regions. The simulation results show that the proposed deblurring algorithm prevents the boosting of artifacts and outperforms conventional approaches in both objective and subjective terms.

• Journal of Broadcast Engineering
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• v.18 no.4
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• pp.619-630
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• 2013

In this paper, we propose an edge directed color demosaicing algorithm considering color channel correlation. The proposed method consists of local region classification step and edge directional interpolation step. In the first step, each region of a given Bayer image is classified as normal edge, pattern edge, and flat regions by using intra channel and inter channel gradients. Especially, two criteria and verification process for the normal edge and pattern edge classification are used to reduce edge direction estimation error, respectively. In the second step, edge directional interpolation process is performed according to characteristics of the classified regions. For horizontal and vertical directional interpolations, missing color components are obtained from interpolation equations based on intra channel and inter channel correlations in order to improve the performance of the directional interpolations. The simulation results show that the proposed algorithm outperforms conventional approaches in both objective and subjective terms.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.848-858
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• 2007

Sontag and Lee (2004) recently developed an objectively measurable instrument, the Proximity of Clothing to Self(PCS) Scale, which measured the psychological closeness of clothing to self. They validated a 4-factor, 24-item PCS Scale for use with adolescents and identified the need for confirmation of the factor structure with other age groups. This paper extends the work of Sontag and Lee by employing the PCS Scale with older persons, age 65 and over, and reports the validation of a 3-factor, 19-item PCS Scale for older persons. A mail survey was sent to a national random sample of 1,700 older Persons by means of a list purchased from a U.S. survey sampling company in late November 2004. Total usuable number of respondents was 250 with an adjusted response rate of 15.6 percent. Three analytical rounds of confirmatory factor analysis(CFA) to test the construct validity of the PCS Scale were conducted by using AMOS 5.0(Analysis of Moment Structures), one of several structural equation modeling(SEM) programs. Completion of three rounds of the CFA resulted in a 3-factor, 19-item PCS Scale with demonstrated construct validity and reliability for older persons. The three PCS dimensions are clothing in relation to 1) self as structure-process(PCS Dimension 1-2-3 combined), 2) self-esteem-evaluative and affective processes(PCS Dimension 4-5 combined), and 3) body image and body cathexis(PCS Dimension 6). The initially hypothesized 6-factor scale(Sontag & Lee, 2004) was not confirmed for adolescents in their study nor with older persons in this study. In addition, the 4-factor solution for the adolescent group did not hold for older persons. It appears that the self-system of older persons is more integrated than may be true for younger individuals. Recommendations for future testing of construct validity of the PCS Scale are made.