• Analytical Science and Technology
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• v.8 no.4
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• pp.1075-1078
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• 1995

This paper describes how industry has responded to the environmental challenge. Benefits include compliance with environmental legislation; genuine reductions to environmental impact; sustainable improvements to profitability in the face of increased competitive pressure. National and international Standards for environmental management offer security and direction for a company wishing to improve environmental performance and coupled with a waste minimisation strategy many financial and environmental benefits can be achieved. Introduction of new technical skills, techniques and worker understanding to aid motivation is an essential component of such a strategy. Monitoring and targeting has a key role to play in the establishment of improved environmental performance.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.1-17
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• 2022

Purpose - This exploratory study analyzes the performance of the business from the HRM point of view. Analyzed the influence of HRM and organization effectiveness on business performance. Also moderating effect of the strategy is analyzed. Research design, data, and methodology - Two outcome variables are measured, non-financial performance and financial performance. Two organizational effectiveness variables are measured, job satisfaction and organizational commitment. And two HRM areas are measured, HRM practice and organizational culture. Finally, two strategies are measured as moderators, market strategy and product/service strategy. This study analyzed employees of 554 from the 7th HCCP. This study used SEM and MCFA. Result - The results of turnover intention, growth rate, and profit rate verified the influence of HRM and organizational effectiveness. Overall results showed a contrary effect of education & training system implement and participation on job satisfaction and organizational commitment. Among organizational culture, innovation and relation positively affect job satisfaction and organizational commitment. However, antecedents influencing turnover intention, growth rate, and profit rate bear no resemblance. And the MCFA result shows that strategy's group differentiation analysis is meaningful in turnover intention not in financial performance. Conclusion - Based on this study result, management suggestions for turnover intention, growth rate, profit rate, and organizational effectiveness are made. Especially, due to the company's strategy.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.95-101
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• 1999

In this paper, a comparison between different methods to combine predictions from neural networks will be given. These methods are bagging, bumping, and balancing. Those are based on the analysis of the ensemble generalization error into an ambiguity term and a term incorporating generalization performances of individual networks. Neural Networks and AI machine learning models are prone to overfitting. A strategy to prevent a neural network from overfitting, is to stop training in early stage of the learning process. The complete data set is spilt up into a training set and a validation set. Training is stopped when the error on the validation set starts increasing. The stability of the networks is highly dependent on the division in training and validation set, and also on the random initial weights and the chosen minimization procedure. This causes early stopped networks to be rather unstable: a small change in the data or different initial conditions can produce large changes in the prediction. Therefore, it is advisable to apply the same procedure several times starting from different initial weights. This technique is often referred to as training ensembles of neural networks. In this paper, we presented a comparison of three statistical methods to prevent overfitting of neural network.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.341-348
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• 2010

The aim of this article is suggesting the training system of social enterpriser through the discussion about the promoting of social enterprise to meet the demands of the times. The part of discussion about the promoting of social enterprise addresses the social background, a fundamental concept, directivity, the present condition of social enterprise and the current social enterpriser's training program. The part of proposal about the training system of social enterpriser gives two areas that support social enterprise's establishment and conversion with supply a basic knowledge of social enterprise and deal with expert knowledge and management strategy making preparations as a social enterpriser. These suggestions introduced in the training system should go ahead in phases through the government aids.

• Journal of Information Technology Applications and Management
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• v.9 no.2
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• pp.17-32
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• 2002

Even though the distance education via web has a great advantage to overcome time and space, its problem is that the management of trainees is not efficient compared with classroom and group education. This problem is a great obstacle to the objects and achievement standards of distance education, giving controversial arguments to the advocators of distance education. Distance educators need to monitor the trainees'participation and responses continuously and offer appropriate feedback to the trainees. However, the existing distance education system only focuses on teaching and learning activities, and as a result, the efficient management function of distance education is not available. Accordingly, the study attempts to find out the appropriate managing elements of distance teacher training in order to effectively achieve the goals of teacher training and the efficient management of distance education. Also, it proposes distance teacher training management system that offers appropriate feedback to trainees, applying the derived elements of distance teacher training to the training processes. To verify the efficiency of the system, hypotheses on related items of distance teacher education and learning types are suggested, and the achievement degree of learning and its relations are investigated through questionnaire of learning types. In addition, a system using UML which is the standard of object-oriented modeling language is devised, so. that mutual management, language independence and convenient development environment as well as reusability can be offered, and so the design standardization and efficient system realization could be achieved, while flexible change of system according to education process and computing environment is possible.

• Nuclear Engineering and Technology
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• v.56 no.6
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• pp.2428-2435
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• 2024

Training for radiation protection and control requires a visual understanding of radiation, which cannot be perceived by the human senses. Trainees must also master the effective use of measuring instruments. Traditionally, such training has exposed trainees to radiation sources. Here, we present a novel e-training strategy that enables safe, exposure-free handling of a radiation measuring tool called a survey meter. Our mixed reality radiation-training system merges the physical world with a digital one. Collaborating with a mixed reality headset (HoloLens 2), this system constructs a mock-up of a survey meter in real-world space. The HoloLens 2 employs a browser-based application to visualize radiation and to simulate/share the use of the survey meter, including its physical movements. To provide a dynamic learning experience, the system adjusts the survey-meter mock-up readings according to the operator's movements, distance from the radiation source, the response time of survey meter, and shielding levels. Through this approach, we expect that trainees will acquire practical skills in interpreting survey-meter readings and gain a visual understanding of radiation in real-world situations.

• Journal of Information Technology Applications and Management
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• v.9 no.3
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• pp.47-56
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• 2002

A variety of enterprises have Implemented ERP system on the promises of feasible strategic benefits. The objectives of this study are (1) to classily and analyze the motives and critical success factors o the enterprises'ERP system adoptions, and (2) to measure their impacts on the business performance. The data for this research were collected from 43 cases in Korea that have operated ERP system for more than 6 months after the implementation. This study results reveals that the Information strategic planning and business strategy establishment prior to ERP adoption and the demands of field people activate as critical triggers In the larger firms Among the six critical success factors, training was statistically significant for all of four performance measures control, cost reduction, quality and service, and work efficiency. And other findings are furnished. Also the larger company group In the sales volume has shown the higher performance except work efficiency.

• Health Policy and Management
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• v.29 no.1
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• pp.11-18
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• 2019

The purpose of this research is to introduce the best practice of the Japanese national dementia strategy and explore implications to the Korean national dementia strategy. Interview was conducted among professions those who is in charge of Kumamoto dementia care practice in Kumamoto province, upon review of related literature and public documents. The Kumamoto model is implemented by the department of neuropsychiatry in public university hospitals, which can offer dementia-specialized medical services. Medical centers for dementia in public university hospitals play a leading role for managing practice and training local dementia centers specialist, coordinating medical services among medical institutions and community welfare facilities. In reference to the Kumamoto model, the Korean national dementia strategy can find implications in the direction of current system, specifically its approaches toward policy governance.

• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.411-437
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• 2018

This paper articulates the STI strategy development principles and methodologies that have been elaborated through iterative processes of STI strategy development cases for the past ten years. The consultation cases include poverty traps in Nepal and Laos, African health challenges in Nigeria and Tanzania, and ASEAN global challenges in Indonesian Water, Vietnamese Green Energy, and Filipino Food, in partnership with some multilateral agencies.The iterative elaboration process has continued with consultation activities on Thailand and on Cambodia, Laos and Myanmar in planning partnership with Thailand. The principles were originally conceptualized from the benchmarking process of the Korean STI development experience. They were further incorporated as methodologies with which relevant planning bodies are guided to address individual and regional challenges through science, technology and innovation strategies. The methodologies are strong in providing plausible holistic perspective scenarios by which various stakeholders can be engaged in the planning and implementation process. But it is heuristic in nature and can be learned only through on-the-job training process. This is the structural limitation for scaling up.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.991-998
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• 2004

In many practical teaming problems including bioinformatics area, there is a small amount of labeled data along with a large pool of unlabeled data. Labeled examples are fairly expensive to obtain because they require human efforts. In contrast, unlabeled examples can be inexpensively gathered without an expert. A common method with unlabeled data for data classification and analysis is co-training. This method uses a small set of labeled examples to learn a classifier in two views. Then each classifier is applied to all unlabeled examples, and co-training detects the examples on which each classifier makes the most confident predictions. After some iterations, new classifiers are learned in training data and the number of labeled examples is increased. In this paper, we propose a new co-training strategy using unlabeled data. And we evaluate our method with two classifiers and two experimental data: WebKB and BIND XML data. Our experimentation shows that the proposed co-training technique effectively improves the classification accuracy when the number of labeled examples are very small.