• Journal of International Academy of Physical Therapy Research
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• v.8 no.1
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• pp.1114-1121
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• 2017

The purpose of this study was to investigate the effects of hypobarichypoxic training program on competitive performance. This was done by observing their conditioning and measuring their blood constituents before and after a multi-staged intermittent training program, over 2 weeks. Three national handicapped cyclists were placed in a multi-leveled hypobaric-hypoxic (flat-4000 meter (m) high elevation) environment with consistent temperature and humidity ($23{\pm}2^{\circ}C$, $50{\pm}5%$) for 2 weeks. After the training, the blood constituents and average heart rate (HR) were measured and the following results were obtained. In all three athletes, there were no unique changes in red blood cell count, hemoglobin, and hematocrit, while there was a rise in the reticulocyte count. Observations of the difference in average HR during exercise at varying altitudes showed that athlete A had an average increase in the HR for the first 5 days at 2000 m. For athlete B, the comparison of the first and last training sessions at an altitude of 2000 m showed an HR increase of approximately 17%. For athlete C, there was a steady increase in the HR until day 7 of the training. As such, hypobaric-hypoxic training suggested that improvement of aerobic exercise performance in these athletes and it is recommended that there be a development for future training programs at high altitude, geared towards handicapped athletes of various disciplines.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.535-543
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• 2017

This study aimed to improve the satisfaction of multi-cultural children by encouraging their participation in healthy exercises, and confirm the level of changes in their school life, the satisfaction with happiness. In order to achieve this purpose, dividing the participants in this program into an experimental group of 20 who participate in taekwondo training program and a comparison group of 20 who do not do sports activity, the study was conducted with a binary mixed design by three repeated measures by group. The conclusions made through these measures were as follows: According to the measurement time between the experimental group who participated in taekwondo training program and the comparison group who did not do sports activity, there were differences in changes in satisfaction of school life, leisure satisfaction, and satisfaction with happiness. Namely, the change in the experimental group was more than that of the comparison group. In conclusion, for multi-cultural children, it can be assessed that as the duration of participation in the taekwondo training program increases, the effect was clear, and it was found that satisfaction of school life, leisure satisfaction, and happiness satisfaction have changed statistically and significantly.

• Journal of the Korean housing association
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• v.16 no.1
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• pp.37-45
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• 2005

The resident committee is a main board of the multi-family housing communities, which discuss and decide important matters regarding the multi-family housing management. So, the purpose of this study was to provide critical informations in order to revitalize the resident committee of multi-family housing. The research was conducted by surveys and interviews with residents and resident committee members. The major results were as follows : The resident committee members indicated that primary reason for them to volunteer as a committee member was because of the encouragement and recommendation of their neighbors. They were willing to be members of the resident committee but they were displeased by the lack of participation and training of some of the committee members. Resident committee members also pointed out that they had difficulties in fulfilling their roles. For one thing, they were not paid for their participation. Another problem was that there were several committee members who did not have knowledge of related laws and they gave themselves a negative evaluation, which told that they had lack of multi-family housing community management skills and knowledge. Training and education of the committee was essential in areas such as budget management, auditing, and damage control.

• Journal of Electrical Engineering and Technology
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• v.13 no.6
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• pp.2511-2520
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• 2018

In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.44-50
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• 2011

We propose a multi-class AdaBoost algorithm for en efficient classification of multi-class data in this paper. Traditional AdaBoost algorithm is basically a binary classifier and it has limitations when applied to multi-class data problems even though multi-class versions are available. In order to overcome the problems on the AdaBoost algorithm for multi-class classification problems, we devise an AdaBoost architecture with a training algorithm that utilizes multi-class classifiers for its weak classifiers instead of series of binary classifiers. Experiments on a image classification problem using collected Caltech Image Database are preformed. The results show that the proposed AdaBoost architecture can reduce its training time while maintaining its classification accuracy competitive when compared to Adaboost.M2.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2509-2528
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• 2019

There are various styles of license plates for different countries and use cases that require style-specific methods. In this paper, we propose and illustrate a multi-style license plate recognition system. The proposed system performs a series of processes for license plate candidates detection, structure classification, character segmentation and character recognition, respectively. Specifically, we introduce a license plate structure classification process to identify its style that precedes character segmentation and recognition processes. We use a K-Nearest Neighbors algorithm with pre-training steps to recognize numbers and characters on multi-style license plates. To show feasibility of our multi-style license plate recognition system, we evaluate our system for multi-style license plates covering single line, double line, different backgrounds and character colors on Korean and the U.S. license plates. For the evaluation of Korean license plate recognition, we used a 50 minutes long input video that contains 138 vehicles of 6 different license plate styles, where each frame of the video is processed through a series of license plate recognition processes. From two experiments results, we show that various LP styles can be recognized under 50 ms processing time and with over 99% accuracy, and can be extended through additional learning and training steps.

• International Journal of Industrial Entomology and Biomaterials
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• v.26 no.2
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• pp.74-80
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• 2013

Three new Multi ${\times}$ Bi combinations M.Con.4 ${\times}$ (SK6 ${\times}$ SK7), M.Con.4 ${\times}$ NB4D2 and Nistari ${\times}$ (SK6 ${\times}$ SK7) were studied in five seasons i.e. during the period of $18^{th}$ June - $12^{th}$ July, $30^{th}$ August - $23^{rd}$ September, $3^{rd}$ November - $2^{nd}$ December, $29^{th}$ January- $2^{nd}$ March and $30^{th}$ March-$25^{th}$ April with one control Nistari ${\times}$ NB4D2 considering nine reeling characteristics along with shell percent and cocoon yield per 100 disease free layings (DFLs) to establish the seasonal effect on all the parameters. Results reveal that all the characters performed well in November-December. Highest yield per 100 DFLs was recorded during November-December in all combinations showing >60 kg yield. Higher correlation of yield/100 DFLs with filament length, non-breakable filament length, denier, raw silk percent, reelability percent and recovery percent was recorded in all combinations of Multi ${\times}$ Bi considered in this study. Variability observed among four combinations indicates the effect of different temperature and humidity of different seasons on expression of different traits. The results indicate that there is significant relationship of raw silk percent with reelability percent, recovery percent and evenness. Reelability percent showed higher correlation with recovery percent. It was observed that neatness was positively correlated with evenness. The overall performance of the newly evolved combinations with regard to productivity and reeling characteristics is discussed emphasizing their utilization at commercial level.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.335-354
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• 2014

The accuracy of training-based activity recognition depends on the training procedure and the extent to which the training dataset comprehensively represents the activity and its varieties. Additionally, training incurs substantial cost and effort in the process of collecting training data. To address these limitations, we have developed a training-free activity recognition approach based on a fuzzy logic algorithm that utilizes a generic activity model and an associated activity semantic knowledge. The approach is validated through experimentation with real activity datasets. Results show that the fuzzy logic based algorithms exhibit comparable or better accuracy than other training-based approaches.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.10
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• pp.1528-1534
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• 2015

This paper designed the railway vehicle running device with a proto-type for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel. In addition, this paper applied a multi-thread technology in order to implement the staged fault and the propulsion control device protected operation test and an implementation of the failure that occur in actual rail vehicle and confirm the validity as the propulsion control device simulator for the maintenance training.

• Journal of Distribution Science
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• v.17 no.3
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• pp.5-19
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• 2019

Purpose - The purpose of this research is to investigate the factors contributing to sustainable competitive advantage for multi-level marketing (MLM) firms in Malaysia. The selected variables in this study are company image, product innovation, leadership, distributor rewards system and distributor training system. Research design, data, and methodology - Quantitative research method is employed with collected sample size of 398 respondents using judgmental sampling technique. Normality and reliability test were performed in the first stage utilizing SPSS 22 and Confirmatory Factory Analysis (CFA) and variance analysis were obtained in the subsequent stage, following up with the overall fit of the measurement model, Structural Equation Model (SEM) using AMOS 22 with maximum likelihood estimation to assess the internal consistency, convergent validity and discriminant validity. Results - The research findings show that company image, leadership, distributor rewards system and distributor training system were supported and are factors affecting the sustainable competitive advantage of MLM companies in Malaysia. However, in this study, product innovation was not supported but this result does not depict that it is trivial and inconsequential in maintain sustainable advantage. Conclusion - Companies can build sustainable competitive advantage by focusing on these contributing factors. Several other comments and implications were brought to light and discussed in the paper.