• Journal of Technologic Dentistry
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• v.33 no.2
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• pp.159-170
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• 2011

Purpose: This study were to analyze satisfaction with job ability development training among Dental Technicians', examine the degree of their actual satisfaction with training courses and their status, and provide some basic data to help improve the quality level, satisfaction, and effective operation of job ability development training in the future. Methods: This study carried out self-administered questionnaire survey from January 15, 2011 to March 10 by having research subjects as 180 dental technicians who participated in the course of employees' Job Ability Development Training by 'Gil Occupational Training Institute,' which is being conducted as part of dental technicians' job ability development in Seoul region. Among these things, 160(88.8%) copies were collected. Except 19 copies with incomplete response, 141(78.3%) copies were used as the materials of final analysis. Results: First of all, as a result of grasping the whole satisfaction with training according to general characteristics, the significant difference was indicated in the whole satisfaction with training depending on gender & age, and voluntary participatory intention. Second, the satisfaction with contents of Job Ability Development Training was in order of helpful level in ability development with 4.10(${\pm}.70$), co-worker's recommendation and a plan for reparticipation with 4.08(${\pm}.77$), consistence with the content goal with 4.07(${\pm}.71$), and reflection of demand with 4.01(${\pm}.70$). Third, examining satisfaction with instructors of Job Ability Development Training, it is being indicated with a little higher score compared to the satisfaction with other items. Fourth, satisfaction with service of supporting learners in job ability development training was shown to be slightly low in all the items. Especially, the convenience of administrative procedure was indicated to be the lowest with 3.52(${\pm}.92$) Fifth, satisfaction with the facility of job ability development training was showing very low satisfaction compared to other satisfaction items. Conclusion: A continuous effort will be needed in order to be possibly strengthened dental laboratory technicians' professionalism and reinforced qualitative level in major ability through offering more educational opportunities and education in good quality.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.12
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• pp.1031-1037
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• 2016

This study was to verify the effect of complex training programs on the postural balance and trunk muscle strength of the elderly. We recruited 40 elderly participants aged 60 to 75 years. Subjects were evaluated before, and 12 weeks after. The participants underwent complex training programs, including free exercise, elastic band and unstable plate. Exercise were performed as follows: 10 repeats in 50 minutes (0 to 4 weeks), 13 repeats in 50 minutes (5 to 8 weeks), and 15 repeats in 50 minutes (9 to 12 weeks). The training group underwent complex training, including warm up, thrice a week for twelve weeks. The control group did not perform any complex training. Results indicate that the postural balance and trunk muscle strength in the training group significantly increased. Data generated from this study could be applied to develop a complex training program to efficiently build whole body muscle strength.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3889-3903
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• 2022

To address the problem of low detection accuracy due to training noise caused by mislabeling when Tri-training for network intrusion detection (NID), we propose a Tri-training algorithm based on cross entropy and K-nearest neighbors (TCK) for network intrusion detection. The proposed algorithm uses cross-entropy to replace the classification error rate to better identify the difference between the practical and predicted distributions of the model and reduce the prediction bias of mislabeled data to unlabeled data; K-nearest neighbors are used to remove the mislabeled data and reduce the number of mislabeled data. In order to verify the effectiveness of the algorithm proposed in this paper, experiments were conducted on 12 UCI datasets and NSL-KDD network intrusion datasets, and four indexes including accuracy, recall, F-measure and precision were used for comparison. The experimental results revealed that the TCK has superior performance than the conventional Tri-training algorithms and the Tri-training algorithms using only cross-entropy or K-nearest neighbor strategy.

• Journal of the Korean Institute of Gas
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• v.28 no.2
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• pp.84-92
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• 2024

This study applied the User-Centered Design(UCD) to develop effective VR safety training content for specific users. The UCD-based design was tailored to the VR, facilitating efficient design activities. The UCD process comprises key activities: deriving design concepts from user needs, designing with VR features, developing prototypes, conducting comprehensive evaluations with experts and users, and completing the finals. Unlike traditional UCD, this flexible approach allows iterative cycles, enhancing the quality and user satisfaction of VR safety training contents.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.883-892
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• 2021

This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.189-196
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• 2024

Classification of drones and birds is challenging due to diverse flight patterns and limited data availability. Previous research has focused on identifying the flight patterns of unmanned aerial vehicles by emphasizing dynamic features such as speed and heading. However, this approach tends to neglect crucial spatial information, making accurate discrimination of unmanned aerial vehicle characteristics challenging. Furthermore, training methods for situations with imbalanced data among classes have not been proposed by traditional machine learning techniques. In this paper, we propose a data processing method that preserves angle information while maintaining positional details, enabling the deep learning model to better comprehend positional information of drones. Additionally, we introduce a training technique to address the issue of data imbalance.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.44-51
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• 2005

Water flow in rivers during flood season can be 10 to 100 fold higher than normal seasons (low precipitation) in Japan and predicting flood runoff is essential for operating reservoirs with discharging gates. Abundant experiences and knowledge are requisites for operators to be able to make efficient decisions at work. This research investigated a method to transfer technical knowledge by acquiring skills and knowledge from actual dam operators and by using the information to construct an educational training system. The purpose of the research was to enable the execution of a secure and rational reservoir operation during flood period. The educational training system for reservoir operation was developed with the focuses on acquiring knowledge on hydraulics and hydrology and learning about decision making related to the reservoir operation as well as the timing of control. The system is capable of conducting education that corresponds to individual levels in each location. Of the educational training methods, a lecture method that uses textbooks is effective for the understanding of basic knowledge and concepts while a training method that uses a simulation device is essential for the practice of advanced and specialized procedures in specific fields. Simulation devices are used in operational training for airplane flight and driving cars and trains. The educational system presented here was designed to provide further assistance to those who have acquired basic knowledge and concepts through textbooks and also to at low them to perform the satisfactory operation of dam equipment. Our research proposes a method which can realize a system to acquire technical skills-the skills which are the foundation of technical knowledge and operation.

• Industry Promotion Research
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• v.1 no.1
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• pp.71-77
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• 2016

The main objective of this study was found to be empirically seeing whether on-site training for students in the field of education and various programs in the field of SMEs michyeotneun any impact on production duties. Results of sub-areas of education and training educational experience, training motivation, training, experience, demographic characteristics and performance of education and training, and because there is a close correlation as sub-areas of business productivity, industrial welfare, governance, education, the period of increased productivity by properly adjusting the sub-variables of education and training it can maximize the educational experience of the work. This study provides the policy implications and implications for the future so that the unemployed(including unemployed youth) re-employment training and on-site training is satisfactory to shine and develop more good quality programs.

• ETRI Journal
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• v.26 no.6
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• pp.615-621
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• 2004

Next generation mobile communication system, such as IMT-2000, adopts Turbo codes due to their powerful error correction capability. This paper presents a block-wise maximum a posteriori (MAP) Turbo decoding structure with a low memory requirement. During this research, it has been observed that the training size and block size determine the amount of required memory and bit-error rate (BER) performance of the block-wise MAP decoder, and that comparable BER performance can be obtained with much shorter blocks when the training size is sufficient. Based on this observation, a new decoding structure is proposed and presented in this paper. The proposed block-wise decoder employs a decoding scheme for reducing the memory requirement by setting the training size to be N times the block size. The memory requirement for storing the branch and state metrics can be reduced 30% to 45%, and synthesis results show that the overall memory area can be reduced by 5.27% to 7.29%, when compared to previous MAP decoders. The decoder throughput can be maintained in the proposed scheme without degrading the BER performance.

• Culinary science and hospitality research
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• v.11 no.4 s.27
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• pp.59-76
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• 2005

The purpose of this study is to illuminate the influence happened by the process of acquirement of professional cooking skills related to satisfaction with duty of hotel cooks according to the development and expansion of the food service industry. First, interaction with colleagues, working environment, accomplishment of duty, satisfaction of duty etc. have a big effect on improvement of cooking skills, that is, acquirement and accumulation of cooking skill. Therefore, it's confirmed that improvement of skill can be promoted if we focus on this kind of factors and meet more positively. Second, field education training should be operated professionally with systematic education training. Third, duty rotation has an effect on skill advancement. It can be interpreted that oppressive feelings caused by ability, skill, knowledge, human relations etc. which is required in new business related to frequent change of the business in one's charge can have an effect on duty satisfaction. It's considered that comprehensive and in-depth study should be accomplished in future concerning duty rotation, field training.