• International Journal of Advanced Culture Technology
• /
• v.12 no.4
• /
• pp.1-10
• /
• 2024

Today, martial arts have developed into international competitions based on rules and forms, and various competitions are held on the world stage. Judo and Taekwondo have been adopted as Olympic sports, and Kendo, Karate, Wushu, and Sumo are also being held at the international level. The purpose of this study is to investigate the relationship between martial arts mentality, lifestyle attitude changes, and training continuity of martial arts sports participants. In order to achieve this purpose, the research subjects were selected as Chinese college students participating in martial arts sports, and the survey link was shared online and sampled through email. A total of 400 data were sampled, and 50 questionnaires that could not be used for analysis due to insincere responses or missing answers were excluded, and a total of 350 questionnaires were finally used for analysis. The martial arts sports were limited to Wushu, Taekwondo, and Judo. Data processing was performed using the statistical program SPSS 22.0 version to perform statistical processing according to the purpose of analysis. The results obtained through this research process are as follows. First, martial arts mentality was found to partially affect changes in lifestyle attitudes. Second, martial arts mentality was found to partially affect training continuity. Third, changes in lifestyle attitudes were found to partially affect training continuity.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.1
• /
• pp.413-435
• /
• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.10
• /
• pp.217-223
• /
• 2013

This research tries to study the effect that the welfare field training the course selection. Because of being the important place where the welfare field training trains the expert, the knowledge, value, and practical lodging tries to be identify instructed. In this aspect, we try to analyze about the extend of satisfaction of the actual training, that is the extent of desiring the link including the class of school subject extend of satisfaction of the department of social welfare engine, and etc. and factor about the actual training of the department of social welfare, because the welfare field training the technique is connected directly with the route. First, the individual characteristic of the social welfare and trainees is grasped. Second, the relationship of the social welfare and factor and course selection is investigated. Third, the social welfare and university (circle) lives look into whether the social welfare field training has an effect on the course selection or not.

• Proceedings of the KIEE Conference
• /
• 1990.07a
• /
• pp.500-503
• /
• 1990

Neural network is a computational model of the biological nervous system developed to exploit its intelligence and parallelism. Applying neural networks to robots creates many advantages over conventional control methods such as learning, real-time control, and continuous performance improvement through training and adaptation. In this paper, dynamic control of a six-link robot will be presented using neural networks. The neural network model used in this paper is the backpropagation network. Simulated control of the PUMA 560 arm shows that it can move at high speed as well as adapt to unforseen load changes. The results are compared with the conventional PD control scheme.

• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.123-124
• /
• 2006

This paper investigates an efficient pre-equalization technique that can be applied on the up-link of a time division duplex (TDD) orthogonal frequency division multiplexing (OFDM) systems. This technique provides the spectral efficiency by omitting the usage of training sequences on the up-link. In this paper, the performance of a variety of pre-equalization techniques is analyzed and simulations are performed by applying power efficient pre-equalization algorithms with phase and amplitude & phase pre-equalization in the Rayleigh fading channel.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.09a
• /
• pp.300-303
• /
• 2003

An Algorithm based on direct implementation of variable structure systems theory approach is proposed for on-line training of multilayer perceptrons. Network structures which have multiple inputs, single output and one hidden layer are considered and the weights are assumed to have capabilities for continuous time adaptation. The zero level set of the network learning error is regarded as a sliding surface in the learning parameters space. A sliding mode trajectory can be brought on and reached in finite time on such a sliding manifold. Results from simulated on-line identification task for a two-link planar manipulator dynamics are also presented.

• ETRI Journal
• /
• v.42 no.3
• /
• pp.341-350
• /
• 2020

In a wireless sensor network (WSN), the data transmission technique based on the cooperative multiple-input multiple-output (CMIMO) scheme reduces the energy consumption of sensor nodes quite effectively by utilizing the space-time block coding scheme. However, in networks with high node density, the scheme is ineffective due to the high degree of correlated data. Therefore, to enhance the energy efficiency in high node density WSNs, we implemented the distributed source coding (DSC) with the virtual multiple-input multiple-output (MIMO) data transmission technique in the WSNs. The DSC-MIMO first compresses redundant source data using the DSC and then sends it to a virtual MIMO link. The results reveal that, in the DSC-MIMO scheme, energy consumption is lower than that in the CMIMO technique; it is also lower in the DSC single-input single-output (SISO) scheme, compared to that in the SISO technique at various code rates, compression rates, and training overhead factors. The results also indicate that the energy consumption per bit is directly proportional to the velocity and training overhead factor in all the energy saving schemes.

• Clinical and Experimental Reproductive Medicine
• /
• v.44 no.1
• /
• pp.28-32
• /
• 2017

Objective: Growing evidence suggests that increased cardiovascular disease (CVD) risk is associated with female infertility caused by conditions such as polycystic ovarian disease, obesity, thyroid dysfunction, and endometriosis. The aim of this study was to evaluate whether any relationship exists between CVD and unexplained infertility. Methods: Sixty-five women with unexplained infertility and 65 fertile controls were enrolled in the study. CVD risk markers such as low-density lipoprotein (LDL), high-density lipoprotein (HDL), total cholesterol (TC), triglycerides (TG), insulin resistance (defined by the homeostasis model assessment ratio), and high-sensitivity C-reactive protein (hs-CRP) were assessed. Results: TG, TC, LDL, and hs-CRP levels were higher and HDL levels were lower in patients with unexplained infertility than in fertile controls (p<0.05 for all). Positive associations were found between unexplained infertility and TG, TC, LDL, and hs-CRP levels, and a negative correlation was found for HDL (p<0.05 for all). Multivariate logistic regression analysis showed that TG, HDL, and hs-CRP were independent variables associated with unexplained infertility. Conclusion: Our study showed that women with unexplained infertility had an atherogenic lipid profile and elevated hs-CRP levels, suggesting a higher risk of developing CVD in the future. Further studies with larger groups are needed to investigate the nature of this link.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.6 no.1
• /
• pp.17-23
• /
• 2005

According to the trend that knowledge information and technology become resource of international competitiveness in industrial development, some countries of world are improving national human resource development system through National Occupational Standards, which is inseparable link system of work-education and training-qualification. National Occupational Standards have been developed fur over all industries by Human Resource Development Korea since 2002. Purpose of this study is to develop a competency based curriculum of computer mechanical design department in junior college or polytechnic college by systematic curriculum and instructional development model based on Korean National Occupational Standards. A guide line how to develop education and training program is presented also.

• Journal of Family Resource Management and Policy Review
• /
• v.25 no.1
• /
• pp.63-75
• /
• 2021

The purpose of this research was to examine the experiences of three types of family-friendly workplace professionals (professionals here after) including consultants, certification auditors, and professional instructors, and to provide suggestions for the improvement of training programs aimed at such professionals. Ten professionals participated in focus group interviews. Two themes were identified: the competencies of the professionals and ways to improve the training system and the curriculums of training programs. Competencies are dependent on job type. Therefore, different training programs should be provided to the three types of professionals. To make training programs more comprehensive, most participants agreed that training program curriculums for the three types of professionals should link together. Participants also suggested increasing training time and differentiating training programs between new and experienced specialists. In terms of improving the training system, professional networking and the creation of a database for family-friendly programs were discussed. The findings suggest that training programs need to be restructured in line with the competencies required by the professionals and professionals' needs.