• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.149-159
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• 2020

Selecting an investment location is one of the most crucial decisions of investors as it has a great influence on the operation and development of the business in the future. At the same time, the attraction of localities will bring advantages for socio-economic development for the localities invested. Investors are interested in localities that have the potential to invest. The study focused on analyzing and testing the influence of place brand equity on the choice of investment locations of domestic investors through a regression analysis using 425 survey samples of investors in Phu Tho province, one of the northern industrial zones in Vietnam. Research results showed that 56.5% of investment decisions depended on factors from place brands. In addition, in the decision-making process for choosing investment locations, brand awareness factor had the greatest impact on investor's decisions, followed by brand image and brand personality, and finally brand confidence had the smallest impact. Therefore, in the coming time, in order to retain and attract domestic investors to choose Phu Tho as an investment and business destination, it is necessary to increase the value of place brand equity and implement solutions to promote place brands to investors.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.3
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• pp.481-494
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• 2003

Purpose: This study was to develop nursing competencies, sub-competencies and behavior indicators according to the clinical ladder of emergency nurses. Method: index of content validation was used by 21 clinical experts. Results: This study had three phases to develop nursing competencies, sub-competencies and behavior indicators. In first phase: 12 nursing competencies and 33 sub-competencies were developed through the literature review on nursing competency and emergency nurses' job description. The content of 12 competencies and 33 sub-competencies were reviewed by 3 nursing professors. The 12 competencies and 33 sub-competencies were followed: clinical judgement and measures(6 sub-competencies), processing ability of ward works(2 sub-competencies), flexibility(2 sub-competencies), resources management(2 sub-competencies), confidence(3 sub-competencies), cooperation(2 sub-competencies), professional development power(2 sub-competencies), patient service orientation(3 sub-competencies), inclination toward ethical value(5 sub-competencies), influence power(2 sub-competencies), developing others(2 sub-competencies), self control(2 sub-competencies). In second phase, 132 behavior indicators were developed according to nurse clinical ladder: novice, advanced novice, competent, proficient. In Third phase, content validity was examined on 132 behavior indicators by 21 clinical experts. 126 among 132 indicators had over 70% agreement among experts and 6 indicators under 70% were revised. Conclusion: nursing competencies, sub competencies and behavior indicators can be used nurses' clinical performance as well as establishing proper directions for professional growth related to reward system.

• Journal of Radiation Protection and Research
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• v.41 no.3
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• pp.191-195
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• 2016

Background: The current status of ACE format MCNP/MCNPX libraries by NDC of KAERI is presented with a short description of each library. Materials and Methods: Validation calculations with recent nuclear data evaluations ENDF/BV-II. 0, ENDF/B-VII.1, JEFF-3.2, and JENDL-4.0 have been carried out by the MCNP5 code for 119 criticality benchmark problems taken from the expanded criticality validation suite supplied by LANL. The overall performances of the ACE format KN-libraries have been analyzed in comparison with the results calculated with the ENDF/B-VII.0-based ENDF70 library of LANL. Results and Discussion: It was confirmed that the ENDF/B-VII.1-based KNE71 library showed better performances than the others by comparing the RMS errors and ${chi}^2$ values for five benchmark categories as well as whole benchmark problems. ENDF/B-VII.1 and JEFF-3.2 have a tendency to yield more reliable MCNP calculation results within certain confidence intervals regarding the total uncertainties for the $k_{eff}$ values. Conclusion: It is found that the adoption of the latest evaluated nuclear data might ensure better outcomes in various research and development areas.

• Management & Information Systems Review
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• v.15
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• pp.51-69
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• 2004

Local universities are faced with rapid environmental changes in 2000's. Therefore local universities are required to research for more specialized marketing strategy such as positioning strategy. The objectives of this study are to examine what are the most important university images and image position of 7 universities'. In order to this study, 276 questionnaires collected from university in Busan area are analyzed by t-test, anova. The results of this study are summarized as follows (1) the most important university images are ranked in the order 1) prospect of getting employment(4.78), 2) possibility of development (4.35), 3) confidence(4.31), 4) research ability(3.97). It is true that practical images get high grade, traditional image such as research ability remains yet as a very import image. (2) Except (A, F) & (B, E) university, common position is not found among the 7 universities, therefore each university cultivate important image as G university dose. (3) Private university are underestimated by student of national university. There is a necessity for cultivating and promoting private university images. (4) Students of private university, particularly students of F university, overestimated their university images seriously.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.462-467
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• 2005

This paper presents virtual machining system in order to realize turning process in virtual space. A reliable virtual turning process simulation was developed based on the surface shaping system which is capable of considering geometric model, thermal error model, and vibration model. Accuracy of surface shape resulting from proposed machining simulator was verified experimentally. This paper also developed the watchdog agent that continuously assessed, diagnosed, and predicted performance of products and machines in machining. The Watchdog agent extracted feature signal using time-frequency analysis among various signals from multi-sensor and evaluated machining condition using performance confidence value.

• Journal of the Korean Solar Energy Society
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• v.27 no.1
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• pp.39-45
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• 2007

In this paper, we analyzed the elements of measurement uncertainty on electrical performance test which are the most important things in photovoltaic module performance test. Repeating the performance test by 6 men, the measurement uncertainty could be calculated. In this experiment, Solar Simulator (A-Class pulse type) used for domestic certificate test of PV module is Pasan IIIb (Balval, Switzerland). The possible elements of the measurement uncertain that could effect electrical performance test of PV module are reference cell, spectrum correction, error from measurement repetition, test condition, stability and uniformity of artificial solar simulator. To find the measurement uncertainty, 6 men repeated the test by 10 times. And the results were that numerical average value was 124.44W and measurement uncertainty was $124.44W{\pm}0.36W$ with 95% confidence level for 125W PV module(KD-5125).

• ETRI Journal
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• v.33 no.2
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• pp.251-258
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• 2011

Applying face alignment after face detection exerts a heavy influence on face recognition. Many researchers have recently investigated face alignment using databases collected from images taken at close distances and with low magnification. However, in the cases of home-service robots, captured images generally are of low resolution and low quality. Therefore, previous face alignment research, such as eye detection, is not appropriate for robot environments. The main purpose of this paper is to provide a new and effective approach in the alignment of small and blurred faces. We propose a face alignment method using the confidence value of Real-AdaBoost with a modified census transform feature. We also evaluate the face recognition system to compare the proposed face alignment module with those of other systems. Experimental results show that the proposed method has a high recognition rate, higher than face alignment methods using a manually-marked eye position.

• International Journal of Oral Biology
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• v.42 no.2
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• pp.79-83
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• 2017

Abnormal HLA-G expression occurs in various diseases such as melanoma, renal cell carcinoma, asthma, and classic Hodgkin's lymphoma. The purpose of this study was to determine whether HLA-G gene is linked with oral squamous cell carcinoma (OSCC). To investigate the possible link with susceptibility to OSCC, 54 OSCC patients and 120 healthy controls were enrolled in this study. HLA-G 14bp insertion/deletion polymorphism is in 3'-untranslated region of HLA-G gene. HLA-G 14bp insertion/deletion polymorphism was analyzed using the polymerase chain reaction (PCR) method. For the analysis of genetic data, SPSS18.0 program was used. Logistic regression models were performed for odds ratio (OR), 95 percent confidence interval (CI), and P value. There was a significant difference in distribution allele between OSCC patients and control subjects (OR=0.018, 95% CI=0.002-0.131, p<0.001). Our results suggest that HLA-G 14bp insertion/deletion polymorphism may be linked with susceptibility to OSCC in the Korean population.

• Journal of Fashion Business
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• v.23 no.6
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• pp.16-26
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• 2019

The purpose of this study was to understand the effect of WeChat relational benefits on customer satisfaction and purchase intention. Due to the rapid development in the technological field, the use of WeChat has expanded drastically in recent years. In visual arts industry, WeChat business occupies a significant proportion of emerging industries. The recruited participants that were recruited via an online survey website were 335 (www.sojump.com). SPSS 22.0 statistical system was used to analyze the descriptive statistics, reliability, and validity. This study conceptualizes the positive relationship among relational benefits, customer satisfaction, and purchase intention of visual arts products. The findings indicated that WeChat users' relational benefits can be categorized into two distinct benefit types: confidence, and social benefits. The more relational benefits WeChat users perceived, the higher the level of satisfaction. In contrast, the positive influence of customer satisfaction on purchase intention is weaker in consumers with a higher level of perceived risk. The results of this study will help WeChat business to retain its customers, thus, gaining a long-term value for visual arts industry. Theoretical and managerial implication for WeChat business are provided.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.530-540
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• 2020

In order to solve the problem of low tracking accuracy caused by complex noise in the fault diagnosis of complex nonlinear system, a fault diagnosis method of high precision cost reference particle filter (CRPF) is proposed. By optimizing the low confidence particles to replace the resampling process, this paper improved the problem of sample impoverishment caused by the sample updating based on risk and cost of CRPF algorithm. This paper attempts to improve the accuracy of state estimation from the essential level of obtaining samples. Then, we study the correlation between the current observation value and the prior state. By adjusting the density variance of state transitions adaptively, the adaptive ability of the algorithm to the complex noises can be enhanced, which is expected to improve the accuracy of fault state tracking. Through the simulation analysis of a fuel unit fault diagnosis, the results show that the accuracy of the algorithm has been improved obviously under the background of complex noise.