Journal of the Korean Society for Nondestructive Testing
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v.31
no.6
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pp.635-641
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2011
In ultrasonic testing of dissimilar metal welds, application of phased array technique in terms of incident beam focusing is not easy because of complicated material structures formed during the multi-pass welding process. Time reversal(TR) techniques can overcome some limitations of phased array since they are self-focusing that does not depend on the geometrical and physical properties of testing components. In this paper, we test the possibility of TR focusing on a defect within anisotropic, heterogeneous austenitic welds. A commercial simulation software is employed for TR focusing and imaging of a side-drilled hole. The performance of time reversed adaptive focal law is compared with those of calculated focal laws for both anisotropic and isotropic welds.
Tree-based algorithms have been the dominant methods used build a prediction model for tabular data. This also includes personal credit data. However, they are limited to compatibility with categorical and numerical data only, and also do not capture information of the relationship between other features. In this work, we proposed an ensemble model using the Transformer architecture that includes text features and harness the self-attention mechanism to tackle the feature relationships limitation. We describe a text formatter module, that converts the original tabular data into sentence data that is fed into FinBERT along with other text features. Furthermore, we employed FT-Transformer that train with the original tabular data. We evaluate this multi-modal approach with two popular tree-based algorithms known as, Random Forest and Extreme Gradient Boosting, XGBoost and TabTransformer. Our proposed method shows superior Default Recall, F1 score and AUC results across two public data sets. Our results are significant for financial institutions to reduce the risk of financial loss regarding defaulters.
This study was performed to verify the importance of emotional aspect for hotel employees to derive the organizational commitment and customer orientation. Present study estimated the emotional intelligence as four factors: self emotion, other emotion, emotional utilization, and emotional regulation. Online survey method was used and distributed the questionnaires to hotel employees who are working for restaurants. A total of 300 questionnaires were distributed and 257 participants were employed for statistical analysis using SPSS 21.0 and AMOS 21.0 for Windows. As results, two factors(emotional utilization and emotional regulation) were significant antecedents of organizational commitment, and three factors(self emotion, other emotion, and emotional utilization) were critical predictors of customer orientation. In addition, organizational commitment has significantly influenced the customer orientation. According to the results of this study, hotel restaurant managers or hotel company need to understand the importance of the emotional intelligence for providing better service to their customers as well as improving the organizational commitment. These results will contribute to develop advanced marketing strategics for hotel restaurants employees who have many connections with customers in a hotel.
The purpose of this study is to provide with basic information on application of hand acupuncture as a complementary and alternative therapy by giving some recognition of efficiency and effectiveness of hand acupuncture. And so, answers for questionnaires of 290 respondents were used for this research and collected from June 5 through 13, 1999 from adults twenty and over who were participating in the hand acupuncture training program in Seoul and had some direct experiences with hand acupuncture therapy, whatever they had been treated and/or had treated. To secure reliability of measurement tool. Cronbach'a has been calculated and Factor Analysis was done as Validity Analysis of question classification. Demograprucal characteristics of hand acupuncture experienced people and factors related to hand acupuncture experiences are calculated based on the real number and percentage. The degree of recognition of efficiency and effectiveness of hand acupuncture is made as average and standard deviation, while the degree of recognition of efficiency and effectiveness based on general characteristics come from one-way ANOVA. 1. According to socio-demographical analysis. the questioned could be classified firstly as age (40-49 : 32.5%. 30-39 : 24.9%. 50-59 : 21.9%. 60-69 : 14.7%. 20-29 : 6.0%). secondly gender (male 36.6%. female 63.4%). thirdly occupation (housewife: 43.8%. self-employed: 15.5%. company-employee: 14.8%). fourthly education (high school graduate: 41.9%, college graduate: 37.9%), and lastly monthly-income (1 to 2 million: 51.4%. 2 to 3 million: 20,3%) 2, As for the general aspects related to hand acupuncture. 80,0% of the respondents answered almost zero for the monthly average number of visit to hospital and 15.5% responded 1 to 2 visits, 6,2% of the respondents is complaining of a disorder of digestive system. 19,0% circulatory disease, 10.7% bad nervous system. By utilizing hand acupuncture, 84% of the questioned have following experiences in curing diseases: digestive system 47.3%, circulatory system 9.3%, nervous system 8.3%, 54,1% are curing 1 to 2 and 10.3% 3 to 4 patients on a daily basis with hand acupuncture. Research on the demerits of giving medical treatment with hand acupuncture shows 23,8% are feeling economic burden. 16.6% difficulty of learning and 16.2% weak theoretical backgrounds. 3. Among the efficiency recognition, possibility of general application is average 4,29 and simple treatment is 4,19. economic merits 4.36. possibility of establishment with supplementary and alternative medicine 4.17, medical effectiveness 4.09. 4, As a result of demographical analysis on the efficiency and effectiveness of hand acupuncture therapy, it appears that the recognition of efficiency based on occupation and the recognition of effectiveness based on monthly income are most significant to be noticed. In an orderly fashion. government-employee, self-employed, company-employee. and then housewife have perceived hand acupuncture very efficiently, And those who recognize hand acupuncture to be most effective are people earn 1 million to 2 million won a month, 5. The efficiency(p = .003) and effectiveness (p= .049) of hand acupuncture therapy by number of visit to hospital were statiscally significant, and effectiveness of hand acupuncture therapy by disease exist was statiscally significant (p= .033).
To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.
Frequency coupling in the phase domain is a recently reported phenomenon for phase locked loop (PLL) based three-phase grid-inverter systems. This paper investigates the mechanism and stabilization method for the frequency coupling to the stability of grid-inverter systems. Self and accompanying admittance models are employed to represent the frequency coupling characteristics of the inverter, and a small signal equivalent circuit of a grid-inverter system is set up to reveal the mechanism of the frequency coupling to the system stability. The analysis reveals that the equivalent inverter admittance is changed due to the frequency coupling of the inverter, and the system stability is affected. In the end, retuning the bandwidth of the phase locked loop is presented to stabilize the three-phase grid-inverter system. Experimental results are given to verify the analysis and the stabilization scheme.
The present study was attempted to examine the patient satisfaction factors for dental services of several dental clinics to enhance their satisfaction and to provide information that will help dental clinics to have competitive edge over others. This study was conducted an on-site survey to the outpatients of a dentist at Jeollabuk-do, from March 23 to April 10, 2003. The results were as follows: 1. In the event of dental hygienists, their satisfaction with dental hygienists was statistically significantly different according to their occupation. The company employees(4.30) and self-employed people(4.36) were more satisfied with dental hygienists, and the government workers(3.86) were pleased with them the least. 2. Their satisfaction level with internal environments was statistically significantly different according to their age, educational background and occupation. Those who were in their 50s and up(4.23), who received middle-school or lower education(4.11), who were retired or unemployed (4.31), and who were self-employed(4.11) were most pleased with internal environments. 3. Their satisfaction level of external environments varied statistically significantly with their occupation. Those who were retired or jobless (3.57) expressed the most satisfaction, and the government workers(2.83) were pleased the least. 4. Their satisfaction level with treatment process differed statistically significantly with their occupation. Those who were self-employed(3.97) and who were retired or unemployed(3.89) were more pleased, and the public officials(3.34) and professionals(3.54) were satisfied the least. 5. As to satisfaction level with medical bills, those who were in their 50s and up(3.95), who received high-school education(3.80), who were self-employed(3.98), and whose monthly mean income was three million won or more(3.99) expressed the biggest satisfaction. 6. What factors affected their overall satisfaction level with treatment after receiving it was investigated, and it's found that their overall satisfaction level was under the statistically significant influence of dentists, dental hygienists, treatment process and medical bills.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.2
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pp.35-49
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2021
The purpose of this study is by using the Grounded Theory method to examine the process of starting a business in an online shopping mall for young self-employed people with experience in using Company N's Partner Square (Gwangju), a startup infrastructure institution. In this study, in-depth interview survey data were used, and theoretical sampling method was used in the selection of study participants. After proceeding in the order of open coding, axis coding, and selective coding suggested by Strauss & Corbin, it was analyzed with a paradigm model. The main research results are as follows. First, even when parents were unaware about online shopping malls or had a negative mindset about it, but they had a positive mindset about their children's start-ups, it was found that their children tended to start online shopping mall businesses. However, if parents had a negative mindset about online shopping malls and about their children's start-up, then the child could not start an online shopping mall business. Second, it was found that the ability to use online shopping malls is important as a condition for entrepreneurship and achievement in online shopping malls for young people. In particular, Partner Square (Gwangju) was found to increase the ability to use online shopping malls and positively influence startups in online shopping malls. Third, it was found that young people have increased their self-esteem, discovering opportunities, and reinforcing their creativity, in addition to simply increasing their sales after starting the online shopping mall.
This study surveyed the performance of food styling and recognition and utility properties of menu development for cooks in a super deluxe hotel. The questionnaires developed for this study were distributed to 400 males and females aged 20 and over. A total of 375 questionnaires were used for analysis (93.8%), and statistical analysis was completed using SPSS (version 14.0) for descriptive analysis and ${\chi}^2$-test. The most important item in food styling was 'harmony of food shape' (40.2%), and second ranked was 'harmony of food color' (23.4%). The most difficult item in food styling was 'lack of professional knowledge' (38.3%) followed by 'lack of creativity' (27.7%). In recognition of menu development, the importance of menu development and promotion was 3.82, and personal satisfaction after menu development was 3.29. Important items in menu development were 'taste' (41.8%) and 'use of new ingredient' (28.5%). When using newly developed menu, the ratio of selling new menu was '30~50%' at 42.7%, and the average selling period of new menu was '3~6 months' at 40.5%. For the effect of new menu on sales, 94.1% were aware of this effect, and to actively promote menu development, 'providing incentive' (35.7%), 'training in/out of country' (20.8%), 'self motivation' (17.3%), 'financial support' (14.7%), and 'motive' (11.5%) were all necessary requirements. In order to improve cooking performance, continued education on food styling and menu development along with the company's full support are required. Further, thorough training of employees is needed along with a high quality incentive policy needs to be done. In addition, to make the new menu profitable, an active marketing strategy must be employed, which will require further study.
Purpose: The aim of this study was to investigate the association between job stress and metabolic syndrome among male workers. Methods: A total of 396 male workers employed in an electronic company, located in 'P' city, Gyeonggi Province, who had taken medical examination at the 'D' hospital, volunteered in this study. All the data used in this study were obtained from 'D' hospital after getting consent and permission from the workers. General and occupational characteristics, medical history, and health-related behaviors of the subjects were obtained by self-administered questionnaire. Results: The highest occupational stress by sub-sector was reported in the order of insufficient job control, organizational system, lack of reward, job demand, job insecurity, physical environment, job culture, and relationship conflict. The prevalence rate of metabolic syndrome of the participants was 19.9%. The results of the multiple logistic regression analysis on metabolic syndrome of the subjects indicated that the syndrome was significantly higher among those with family history, smoking habit and ex-smoking, working duration of 3 years and over, and with higher total score of occupational stress. It was significantly more prevalent, when the degree of stress was high in the sub-sectors of occupational stress; job autonomy, job insecurity, lack of reward, and job culture. Conclusion: In conclusion, it is necessary to implement a plan to efficiently manage the job stress of these male workers, as the probability of metabolic syndrome increased with the increase of occupational stress. Furthermore, considering the highest occupational stress was found to be job autonomy among its sub-sectors, it is necessary to prepare various measures to enhance the autonomy of such employees.
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