• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.1-6
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• 2016

The purpose of this study is to verify mainly qualitative characteristics impact on the quality of customer's accounting information to analyze the expertise and the level of accounting system, accounting service worker. This method was conducted in empirical research by the hypothesis based on the survey after examining theoretical background founded on the literature search. As a result, by accounting information systems needed Accounting services worker's professionalism, customer to be served most satisfies faithful representation among the qualitative characteristics and it showed timeliness is low satisfaction. This study will contribute to enhance the recognition and improvement of expertise of the accounting service workers, in the future for improving the quality of accounting information system, discussion will be needed about the contents and method for education and training.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.3
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• pp.268-279
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• 2017

The purpose of this study was to analyze the effects of dietary life application according to preferred dietary life education type on quality of life of participants in dietary life education programs and to provide basic data necessary to enhance dietary life education. The results of the analyses conducted to classify the types of preferred dietary life education and types of dietary life application and to verify the validity and reliability of the factors are as follows. In terms of the types of preferred dietary life education, health-oriented type, knowledge-oriented type, and experience-oriented type were derived. In terms of types of dietary life application, proactive application and emotional application were derived. Knowledge-oriented type and experience-oriented type were found to affect proactive application and emotional application in terms of real-life application, and proactive application and emotional application were found to affect quality of life. Therefore, in order to enhance the dietary life education for adults in general, it is necessary to improve accessibility by initiating and promoting various programs along with continuous support from central and local governments. Moreover, in order to increase the real-life application and utilization of such programs, the importance of practical and theoretical education must be recognized, and efforts should be made in training specialized instructors.

• Journal of Agricultural Extension & Community Development
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• v.20 no.1
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• pp.41-69
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• 2013

The analytical result indicates that their sociological variables including education background, age and marital status, and job satisfaction factors including employment term, job title, compensation, organization, promotion, colleague, job transfer have a significant impact on the quality of their life. This means that their job satisfaction affects the quality of life. In other words, it is necessary to create an environment which can offset their complaints about job environment and conditions and furthermore, generate a sense of pride and a rewarding experience. The study suggests transparent, fair HR system and continuous training and management in consideration of employees' qualification, experience and interest to boost a sense of pride and social recognition and increase the level of job satisfaction as a result. In line with this approach, their dedication to bringing positive changes in local communities is also essential.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.74-86
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• 2017

Purposes: This study was performed to understand the recognition about accreditation motives, support within the hospital and accreditation survey process for the hospitals that participated in the accreditation program and to find out whether these factors are related to hospital management performances, so that the study can suggest plans for activation and development of the accreditation program. Methodology: This study was performed targeting 98 hospitals answered th the survey among 189 acute care hospitals that acquired accreditation from December 2010 to February 2014. For data analysis, frequency analysis, ${\chi}^2$-test, reliability analysis, ANOVA, Kruskal-Wallis H test and multiple regression analysis with SPSS 21.0 were used. Findings: The hospitals that had staff in charge of patient safety had bigger hospital culture change than those that didn't have(p<.05). In addition, the hospital culture change was bigger as internal motives were bigger, and as CEO's will was bigger(p<.05). Meanwhile, as maintenance rate of internal management after accreditation was higher, and as CEO's will was bigger, process improvement level was higher(p<.05). The quality improvement and patient satisfaction level were higher as CEO's will was bigger, and as suitability of survey process was recognized to be high(p<.05). As a result of analyzing the factors that affect hospital management performances with hospital culture change, process improvement and quality improvement combined, as internal management maintenance rate was higher, as CEO's will was bigger, and as suitability of survey process was higher, performances were higher(p<.05). Practical Implications: Hospitals need to reinforce internal motives to improve internal competences such as the whole system maintenance opportunity and staff training. In addition, the will of hospital director is most important, and if there is hospital director's interest in quality improvement and improvement intention definitely, employees voluntarily participate in and cooperate with the accreditation program, so that prompt medical service provision and high quality of medical services can be guaranteed, leading to hospitals' management performances.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.107-117
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• 1999

A comparison of a neural network approach with the conventional statistical methods, multiple regression and band ratio analyses, for the estimation of water quality parameters in presented in this paper. The Landsat TM image of Lake Daechung acquired on March 18, 1996 and the thirty in-situ sampling data sets measured during the satellite overpass were used for the comparison. We employed a three-layered and feedforward network trained by backpropagation algorithm. A cross validation was applied because of the small number of training pairs available for this study. The neural network showed much more successful performance than the conventional statistical analyses, although the results of the conventional statistical analyses were significant. The superiority of a neural network to statistical methods in estimating water quality parameters is strictly because the neural network modeled non-linear behaviors of data sets much better.

• Safety and Health at Work
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• v.5 no.4
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• pp.210-215
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• 2014

Background: The ongoing economic crisis in Greece has affected both stress and quality of life (QoL) at all socioeconomic levels, including professionals in the police force. The aim of this study was to examine perceived stress, job satisfaction, QoL, and their relationships in a sample of police officers in Greece. Methods: A cross-sectional study was conducted during the first trimester of 2011 in 23 police stations in the greater Athens area. A total of 201 police officers agreed to participate (response rate 44.6%). The General Health Questionnaire-28 (GHQ-28) was used to assess general health, and the World Health Organization Quality of Life-BREF Questionnaire and Perceived Stress Scale-14 (PSS-14) questionnaires were used to assess QoL and perceived stress, respectively. Results: The PSS and GHQ subscales and total scores exhibited strong, positive, and significant correlations coefficients (r): 0.52 for somatic disturbances, 0.56 for stress and insomnia, 0.40 for social dysfunction, and 0.37 for depression, yielding an r equal to 0.57 for the total GHQ score. A higher level of perceived stress was related to a lower likelihood of being satisfied with their job; in this regard, male participants and higher ranked officers reported lower job satisfaction. The PSS and GHQ scores were inversely, consistently, and significantly related to almost all of the QoL aspects, explaining up to 34% of their variability. Parenthood had a positive effect on QoL related to physical health, and women reported lower QoL related to psychological health. Conclusion: Higher levels of stress are related to an increased risk of reporting suboptimal job satisfaction and QoL. The magnitude of these associations varied depending on age, gender, and rank, highlighting the need for stress-management training.

• Investigative Magnetic Resonance Imaging
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• v.25 no.1
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• pp.10-22
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• 2021

Purpose: To overcome the difficulty in building a large data set with a high-quality in medical imaging, a concept of 'blended-transfer learning' (BTL) using a combination of both source data and target data is proposed for the target task. Materials and Methods: Source and target tasks were defined as training of the source and target networks to reconstruct cardiac CINE images from undersampled data, respectively. In transfer learning (TL), the entire neural network (NN) or some parts of the NN after conducting a source task using an open data set was adopted in the target network as the initial network to improve the learning speed and the performance of the target task. Using BTL, an NN effectively learned the target data while preserving knowledge from the source data to the maximum extent possible. The ratio of the source data to the target data was reduced stepwise from 1 in the initial stage to 0 in the final stage. Results: NN that performed BTL showed an improved performance compared to those that performed TL or standalone learning (SL). Generalization of NN was also better achieved. The learning curve was evaluated using normalized mean square error (NMSE) of reconstructed images for both target data and source data. BTL reduced the learning time by 1.25 to 100 times and provided better image quality. Its NMSE was 3% to 8% lower than with SL. Conclusion: The NN that performed the proposed BTL showed the best performance in terms of learning speed and learning curve. It also showed the highest reconstructed-image quality with the lowest NMSE for the test data set. Thus, BTL is an effective way of learning for NNs in the medical-imaging domain where both quality and quantity of data are always limited.

• Journal of Korean Society of Water and Wastewater
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• v.36 no.4
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• pp.239-248
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• 2022

The prediction of algal bloom is an important field of study in algal bloom management, and chlorophyll-a concentration(Chl-a) is commonly used to represent the status of algal bloom. In, recent years advanced machine learning algorithms are increasingly used for the prediction of algal bloom. In this study, XGBoost(XGB), an ensemble machine learning algorithm, was used to develop a model to predict Chl-a in a reservoir. The daily observation of water quality data and climate data was used for the training and testing of the model. In the first step of the study, the input variables were clustered into two groups(low and high value groups) based on the observed value of water temperature(TEMP), total organic carbon concentration(TOC), total nitrogen concentration(TN) and total phosphorus concentration(TP). For each of the four water quality items, two XGB models were developed using only the data in each clustered group(Model 1). The results were compared to the prediction of an XGB model developed by using the entire data before clustering(Model 2). The model performance was evaluated using three indices including root mean squared error-observation standard deviation ratio(RSR). The model performance was improved using Model 1 for TEMP, TN, TP as the RSR of each model was 0.503, 0.477 and 0.493, respectively, while the RSR of Model 2 was 0.521. On the other hand, Model 2 shows better performance than Model 1 for TOC, where the RSR was 0.532. Explainable artificial intelligence(XAI) is an ongoing field of research in machine learning study. Shapley value analysis, a novel XAI algorithm, was also used for the quantitative interpretation of the XGB model performance developed in this study.

• Health Policy and Management
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• v.3 no.2
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• pp.1-24
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• 1993

The purpose of this study is to analyze the effects of the health information system on the productivity and behavioral aspects of health workers as well as quality of services to the visitors using the Vaccination room at the Kwon Sun Ku health center located in Suwon city as a study subject. Three survery were conducted to measure the changes in productivity and adoptation process(knowledge, attitude, activity, and satisfaction) of health workers over time during the period of 20 months. In addition, the effects of the information system on the quality of services to the visitors were also masured 7 months after the 3rd survey by comparing the quality of services between the study health center and the similar health center as a control group. The following results were obtained. First, productivity of health workers has improved over time as they became familiar with the system. Second, knowlege and activity did not significantly changed, but attitude score unexpectly decreased in the second survey. This may be due to an effect of intensive training prior to the first survery. Third, quality of services for the study center was better than other health center. While the health information system had positive effects on the productivity as well as the adoptation process, there are several limitations to establish a causal effect relationship between the two variables. For example, the system has kept modified since its development to meet the changing needs of the workers, and this may affect the productivity more than the adoptation process. Furthermore, since the study subject was only one health oenter, it lacks representativeness to generalize the study findings. Therefore, more health centers should be included in the study to solve such problems in the future.

• The Mathematical Education
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• v.61 no.1
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• pp.179-198
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• 2022

Teaching is delicate, complicated, and demanding work, and especially beginning teachers set forth their difficulties in preparing and implementing mathematics instruction. It is important to ensure the quality of beginning mathematics teachers' instruction above a consistent level because such affirmation justifies the national policy on teacher education as well as the individual efforts of preservice teachers in South Korea. The current study collected mathematics lessons of the two beginning teachers who graduated from the same teacher training institute and worked at the same high school. The findings reported what features their lessons have with regard to the learning environment, engaging students in learning, deepening student learning, and using representations of the edTPA in order to identify what can or cannot be expected in their mathematics instruction. The instruction of the one teacher was assessed middle or more than middle scores throughout the rubrics, but the other one had lower scores. Based on these findings, this study suggested the implications for teacher education in ways of improving the quality of instruction of beginning mathematics teachers.