• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.3
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• pp.232-237
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• 2013

The aim of this study is to structuralize a model of the factors determining the quality of nursing care perceived by the director or manager of a long-term care facilities (hospitalization of patients) using FSM(Fuzzy Structural Modeling), employed in structuralizing social systems. The results were as follows: first, quality in the top tier was shown to be connected with job commitment, commitment to the organization, work experience, care skills, knowledge about the elderly, training and education, which are factors in the middle tier; and second, the structure of the middle tier (job commitment, commitment to the organization, work experience, care skills, knowledge about the elderly, training and education) either showed a connection with the lower tier, which includes employment type, job satisfaction, leadership, relationship with users and workplace relationships, or showed a connection among the factors within. These results confirmed the following: first, care skills and knowledge about the elderly, which demonstrate the job expertise of caregivers, showed a connection with service quality based on work experience; second, job commitment in the middle tier was observed to affect various factors in the same tier such as care skills, knowledge about the elderly, training and education amongst others, and it was determined that it is an important determining factor in service quality. Lastly, a meaningful result was shown in relation to leadership. The leadership skills of the director of the facilities had a connection with the care caregivers' commitment to the organization, which had a connection with service quality. This structure showed the kind of role the director must play in order to improve service quality.

• International Journal of Quality Innovation
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• v.2 no.2
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• pp.121-126
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• 2001

Based on the creative education theory, the study of the symmetric coordinated use of both hands is the application of both the quality education ideal and the understanding principles of the creative education to the training of using hands. In the light of relevant concepts of the 'Domain' theory and the expertise of both the Chinese and foreign specialists in this field, this article discusses the relation between the tapping of mental creativity, scientific use of hands and the animation of the right hemisphere of the brain with the aim of constructing a new concept of the symmetric coordinated use of both hands.

• Journal of vocational education research
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• v.37 no.5
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• pp.25-53
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• 2018

The purpose of this study is to find out the improvement plan through the satisfaction survey of the trainees involved in vocational training fraud preventive education. In order to do this, we conducted a satisfaction survey(4,263 persons) of 5,939 people who participated in the prevention education conducted by group education or e-learning in 2017. Finally we collected 4,237 effective responses data. Descriptive statistics and the regression analysis were conducted. The finding of the study were as follows. First, the education service quality(4.42), satisfaction level(4.44), understanding level(4.44) and help level(4.45) were significantly higher than those of participants in the preventive education 4 and above. Second, e-learning participants' perceived level of education service quality, satisfaction, comprehension, and help was higher in all variables than collective education's. Third, all of the sub-factors of preventive education service quality influenced satisfaction, understanding, and help in collective education and e-learning, respectively. In the collective education, the contents of education had the greatest influence, and in e-learning, the data composition had the greatest influence. Fourth, desirable education contents were cases of fraud training(70.7%), disposition regulations(47.9%), NCS course operation instructions(32.8%) and training management best practices(32.4%). Additional requirements also included the establishment of an in-depth course, the provision of anti-fraud education content for trainees, and screen switching and system stability that can be focused on e-learning. Therefore, this study suggests that first, it is necessary to activate e-learning for prevention education more, reflecting satisfaction of e-learning is higher than that of collective education. Second, it is necessary to diversify the content of preventive education and to provide it more abundantly, because it has the biggest influence in common with the satisfaction, understanding and help level of the preventive education. Third, education content next, the factors that have a relatively big influence on satisfaction are shown as delivery method and education place in the collective education. Therefore, it is necessary to prepare education place considering the assignment of instructor and convenience. Fourth, constructing data next, the factor that have a relatively great influence on understanding and help are found to be operator support, and more active operator support activities are required in e-learning. Fifth, it is required to delivery prevention activity for trainees participating in vocational training. Sixth, it is necessary to analyze the educational need to construct the contents of preventive education more systematically.

• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.123-136
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• 2008

This study tried to find out the effect of change management on the ERP performance in small and medium size companies. Communication, BPR management, education and training were selected as independent variables which might bring an effect on ERP performances which were classified as quality and quantity one. Structure equation model was built and analyzed with AMOS 5.0 version from data gathered through 127 companies which already implemented ERP systems. The result of this study shows that all the three independent variables give positive impacts on two dependent variables, which means change management is critical when small and medium size companies want to implement ERP systems.

• MALSORI
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• v.68
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• pp.49-63
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• 2008

This paper describes the development and assessment of a hidden Markov model (HMM) based Tagalog speech synthesis system, where Tagalog is the most widely spoken indigenous language of the Philippines. Several aspects of the design process are discussed here. In order to build the synthesizer a speech database is recorded and phonetically segmented. The constructed speech corpus contains approximately 89 minutes of Tagalog speech organized in 596 spoken utterances. Furthermore, contextual information is determined. The quality of the synthesized speech is assessed by subjective tests employing 25 native Tagalog speakers as respondents. Experimental results show that the new system is able to obtain a 3.29 MOS which indicates that the developed system is able to produce highly intelligible neutral Tagalog speech with stable quality even when a small amount of speech data is used for HMM training.

• International Journal of Quality Innovation
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• v.7 no.3
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• pp.58-69
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• 2006

This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.

• The Journal of Industrial Distribution & Business
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• v.6 no.3
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• pp.9-17
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• 2015

Purpose - The study's aim is to assess performance quality delivered through a performance management system. The case study first measures the effectiveness of the present performance management system of Bhushan Steel Ltd. (BSL), and then secondarily analyzes the employee training impact. Research design, data, and methodology - A case study research approach using a survey was followed. The final sample size was 50, with a simple random sampling technique used. Primary data came from the company itself and the secondary from books, the Internet, journals, etc. Results - BSL employee appraisals are used for many developmental aspects such as competence in the present job, improvements, performance development, and training needs. The results indicate that individual performance can improve if employees perceive the system as more transparent (i.e., not so confidential). Conclusions - Overall, the BSL employees think that the company appraisal system is useful; however, to make it better the company has to improve many aspects including appraisals based on supervisor observations. The company could use a self-appraisal and a 360-appraisal approach to improve such assessments.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.655-673
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• 2004

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA ), Logit Analysis, Neural Network. The after-crisis bankrupted companies were limited to the research data and the listed companies belonging to manufacturing industry was limited to the research data so as to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural network model is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.18 no.4
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• pp.430-435
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• 2009

The cooling stage greatly affects the product quality in the injection molding process. The cooling system that minimizes temperature variance in the product surface will improve the quality and the productivity of products. The cooling circuit optimization problem that was once solved by a response surface method with 4 design variables. It took too much time for the optimization as an industrial design tool. It is desirable to reduce the optimization time. Therefore, we tried the back-propagation algorithm of artificial neural network(BPN) to find an optimum solution in the cooling circuit design in this research. We tried various ways to select training points for the BPN. The same optimum solution was obtained by applying the BPN with reduced number of training points by the fractional factorial design.

• The Journal of Information Systems
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• v.12 no.1
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• pp.47-66
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• 2003

This study was examined the relationship between the exogenous and endogenous variables in our model to measure ERP system performance using path analysis. The exogenous variables are system quality, user participation, user training, top management support and self-efficacy, and the endogenous variables are system usage, user satisfaction, and work efficiency. The results of the study are shown as follows. First, all the exogenous variables in our model have a direct effect on user satisfaction, and system quality, training, and self-efficacy have a direct effect on system usage. Second, system usage has a direct effect on user satisfaction and user satisfaction has a direct effect on work efficiency. The findings show that the exogenous variables in the model are important to increase ERP implementation success.