• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.448-453
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• 2008

This study describes design and development techniques of estimation models for process modeling. One case study is undertaken to design a model using standard gas furnace data. Neural networks (NN) and genetic programming (GP) are each employed to model the crucial relationships between input factors and output responses. In the case study, two models were generated by using 70% training data and evaluated by using 30% testing data for genetic programming and neural network modeling. The model performance was compared by using RMSE values, which were calculated based on the model outputs. The average RMSE for training and testing were 0.8925 (training) and 0.9951 (testing) for the NN model, and 0.707227 (training) and 0.673150 (testing) for the GP model, respectively. As concern the results, the NN model has a strong advantage in model training (using the all data for training), and the GP model appears to have an advantage in model testing (using the separated data for training and testing). The performance reproducibility of the GP model is good, so this approach appears suitable for modeling physical fabrication processes.

• Journal of Korean Biological Nursing Science
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• v.10 no.1
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• pp.41-52
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• 2008

Purpose: This study was to evaluate and compare the effectiveness of a progressive functional training program on ADL performance in stroke patients at home after selecting subjects through Resident Assessment Instrument for Home Care (RAI-HC). Method: Ninety stroke patients had a structured training which was 50 min in duration, six times per week for a period of 6 weeks. The subjects were divided into three groups as measured using the RAI-HC progressive functional training program group; the resident rehabilitation exercise group and the control group. Result: The study observed that the functional training program for stroke patients increased the level of activities of daily living (ADL), performance of functional fitness and balance. It also reduced blood lipid and the score of client assessment protocols (CAPs). The functional training program is expected to improve the quality of life in the stroke patients at home. Conclusion: The authors, with the results of this study concluded that, the functional training program is necessary for the stroke patients to improve their quality of life. Hence, the program should be employed immediately.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.127-133
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• 2019

Most studies of software fault prediction have been about supervised learning models that use only labeled training data. Although supervised learning usually shows high prediction performance, most development groups do not have sufficient labeled data. Unsupervised learning models that use only unlabeled data for training are difficult to build and show poor performance. Semi-supervised learning models that use both labeled data and unlabeled data can solve these problems. Self-training technique requires the fewest assumptions and constraints among semi-supervised techniques. In this paper, we implemented several models using self-training algorithms and evaluated them using Accuracy and AUC. As a result, YATSI showed the best performance.

• International Journal of Industrial Entomology and Biomaterials
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• v.3 no.1
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• pp.31-35
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• 2001

Ten newly evolved bivoltine hybrids of silkworm (Bombyx mori L) were evaluated with control hybrid KA${\pm}$NB4D2 during three seasons of a year for their seasonal performance. Analysis of variance and other statistical methods were employed and the performance was observed in respect of 10 quantitative traits. The results showed significant genotype${\pm}$environment interaction with respect to four quantitative characters viz. fecundity, yield/10,000 larvae, filament length and raw silk (%). Environmental effects were significant for nine characters out of ten characters evaluated. A 105${\pm}$J2 and B${\pm}$NB4D2 were considered as highly adaptable hybrids to local conditions with high mean for maximum characters studied and found suitable to rear in all seasons.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.417-418
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• 2011

In recent years, the rapid development of 3D animation industry promoted the 3D animation skills training progress. In this article, the author analyzed deeply the 3D animation skills training situation based on the training practice and comprehension in R animation company, constructed the 3D animation skills training mode, and made further discussion of improving the performance of training.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.143-149
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• 2024

As the size of data and models in machine learning training continues to grow, training on a single server is becoming increasingly challenging. Consequently, the importance of distributed machine learning, which distributes computational loads across multiple machines, is becoming more prominent. However, several unresolved issues remain regarding the performance enhancement of distributed machine learning, including communication overhead, inter-node synchronization challenges, data imbalance and bias, as well as resource management and scheduling. In this paper, we propose ParamHub, which utilizes orchestration to accelerate training speed. This system monitors the performance of each node after the first iteration and reallocates resources to slow nodes, thereby speeding up the training process. This approach ensures that resources are appropriately allocated to nodes in need, maximizing the overall efficiency of resource utilization and enabling all nodes to perform tasks uniformly, resulting in a faster training speed overall. Furthermore, this method enhances the system's scalability and flexibility, allowing for effective application in clusters of various sizes.

• Research in Community and Public Health Nursing
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• v.8 no.2
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• pp.197-210
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• 1997

This study was conducted to test the effect of cognitive stimulation training on elderly persons with dementia. The design of the research was one group in pre-test-post-test design. The subjects were nine demented persons over sixty years, with mild to moderate cognitive impairment. Training was administered by research assistants on a one to one basis for thirty to forty minutes, three times a week for eight weeks. In order to evaluate the effect of cognitive stimulation training, we measured cognitive function before and after three training sessions each. Data were analyzed using descriptive statistics and a paired t-test analysis using a spss pc package, The results are as follows: 1) The recipients of the training program showed improvement in overall cognitive functioning. The MMSK - K score, recall levels of concepts, daily tasks, personal past history and performance of word fluency were significantly increased after training. 2) There was a significant improvement in cognitive functioning over the training period: recall levels of concepts, daily tasks, past personal history and performance of word fluency significantly increased over the training period progessively, The results suggest that cognitive stimulation training is effective in improving and maintaining overall cognitive function of elderly persons with dementia.

• Journal of Arbitration Studies
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• v.28 no.2
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• pp.179-200
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• 2018

The purpose of this study is to investigate the effects of service training and arbitration support on superstore workers' work performance. The conclusion could be summarized as follows. First, as a result of Hypothesis 1 that service training and arbitration support for superstore workers would significantly affect the factor of workers' emotional labor, when surface acting of emotion and frequency of expressing emotions were the dependent variable, only arbitration support was positively correlated. When emotional diversity was the dependent variable, there was a significantly positive relationship with service training. Second, for Hypothesis 2 that service training and arbitration support for superstore workers would significantly influence the workers' job satisfaction, it was found that only organizational support was significantly positive when wage satisfaction was the dependent variable. When job satisfaction was the dependent variable, service training and arbitration support were significantly correlated positively. Third, for Hypothesis 3 that service training and arbitration support for superstore workers would significantly affect the service delivery level when service responsiveness was the dependent variable, service training and arbitration support were significantly positive. When service expertise was the dependent variable, there was also a significantly positive relationship with service training and arbitration. On the other hand, all the three independent variables-service training, organizational support, and arbitration support-showed a significantly positive relationship when the willingness and effort of service was the dependent variable.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.549-560
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• 2005

Web-based distance teacher training should focus on increasing self-directed problem solving skills of trainers by problem-based instruction(PBL). Performance assessment evaluates achievement of learning goals through the practical performance learning to solve problems in the real situation. This study proposes a web-based performance assessment model for the distance teacher training. It reflects fairness and objectiveness issues of performance assessment which elementary teachers are concerned about through the survey on distance teacher training, and relieves instructors from overload of managing and scoring performance tests. The proposed model provides problem-based learning situations, interactions between individuals and groups, and web-based cooperative evaluation and the peer evaluation.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.1
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• pp.70-85
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• 1998

This study intends to identify the effects of user attitude, user education & training on the information systems implementation performance. In order to obtain data, survey questionnaires were distributed to the users of 'D' company, the major findings can be summarized as follows. First, it's suggested from the analyses that user attitude and user education & training independently have statistically significant effects on information systems implementation performance. Second, it's revealed that even though the interaction effects by both user attitude and user education & training have positive effects on the level of usage, but have no statistically significant effects on satisfaction level. Based on these results, it's recommended to convert user attitude favorably toward user environment and to increase the level of user education & training, in order to promote information systems implementation performance. Especially, differentiated user education & training are highly recommended.