• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.75-80
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• 2015

To train convergence experts ICT infrastructure must be learned IoT use capabilities of things. In this paper, targeted to students that are majoring in computer science, and for the design of the curriculum and the educational model that handles education of operation in general for training IoT-related education for five months to experts of convergence training describe the contents. Course is the basic ability of the process, core competence course, is divided into real-life capability process and on-site training course, was constructed in a total of 10 stages of the process details. Curriculum, it was designed to learn sensing technology, network technology, security, and content production technology. This educational model is utilized for job creation human resource training project of 2015 Ministry of Employment and Labor, it demonstrated the utility to contribute in order to achieve a high completion and the employment rate. Applicable to future university education plans to expand the curriculum, including courses that complement the Java.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.81-91
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• 2018

This study to investigate the effects of proprioceptive motor program on proprioceptive and balance ability for patients with chronic stroke. Twenty nine subjects were recruited by means of a convenience sampling from Gyeonggi-do B hospital. The subjects were divided into two group: a proprioceptive motor program and general physical therapy(n=15), general physical therapy(n=14). The stimulation and exercises were conducted for 30 min per day, three days, per week for six weeks. All participants were assessed before and after taping training using proprioceptive, berg balance scale(BBS), timed up and go test(TUG), and balance ability was measured using a BioRescue. After training, the change values of the proprioception and balance ability in experimental group were significantly greater than control group(p<0.05). This findings show that progressive and proprioceptive motor program training convergence can be effective for stroke patients proprioception and balance ability. Continued development of convergence interventions for chronic stroke patients with proprioception and balance ability in the practice are suggested.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.191-198
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• 2020

In this study, in order to propose an improvement plan for fire simulation training to improve fire response capability, fire simulation training is conducted for three business facilities, and changes according to whether training materials are used and whether the response time for each response stage is reflected in the training evaluation. The response posture and response ability of the training participants were observed and analyzed. As a result of the analysis, it was analyzed that most of the training participants improved their participation in training, response posture, and response ability when the use of training textbooks and response time for each response stage were reflected in the training evaluation. In the event of a fire simulation training, a number of training materials that can similarly implement the fire situation are used to improve and maintain the fire response capabilities (fire notification and fire report, initial extinguishing, and evacuation) of the training participants, and the target time for each response step. The result was that it can be used as a useful index for improving fire response capability and improving fire simulation training in the future and feedback only when quantitative training evaluation is conducted based on this setting.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.95-101
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• 2021

The purpose of this study was to investigate the convergence effect of focal vibration stimulation and bilateral upper limb training on the recovery of upper limb function when applied to stroke patients. For 20 stroke patients, divided into an experimental group that performed convergence intervention with focal vibration stimulation and bilateral upper limb training, and a control group who performed only bilateral upper limb training. It was conducted 20 times for 4 weeks, 30 minutes per session. Vibration stimulation was applied to the affected side of the experimental group for 30 minutes during training. Results were measured for the degree of recovery of the affected upper limb function, amount of use on the affected and unaffected sides, the quality and satisfaction in performance on use of both upper limbs. Comparisons were made within groups using a paired-sample t-test and between groups using covariance analysis. As a result of the study, the experimental group showed a significant difference in dexterity and the amount of use on the affected than the control group. The effect size was more than the small effect size in all evaluation items. Through this study, it is thought that the convergence intervention of focal vibration stimulation and bilateral upper limb trainingcan be used clinically as an effective intervention for the recovery of arm function in stroke patients.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.11
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• pp.917-924
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• 2003

Recurrent neural networks have been successfully applied to communications channel equalization. Major disadvantages of gradient-based learning algorithms commonly employed to train recurrent neural networks are slow convergence rates and long training sequences required for satisfactory performance. In a high-speed communications system, fast convergence speed and short training symbols are essential. We propose decision feedback equalizers using a recurrent neural network trained with Kalman filtering algorithms. The main features of the proposed recurrent neural equalizers, utilizing extended Kalman filter (EKF) and unscented Kalman filter (UKF), are fast convergence rates and good performance using relatively short training symbols. Experimental results for two time-varying channels are presented to evaluate the performance of the proposed approaches over a conventional recurrent neural equalizer.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.6
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• pp.775-783
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• 2019

The big data industry market continues to grow and is expected to grow further. In this paper, based on the five-point Likert scale of college students in the process of developing big data young people, the satisfaction of instructors in big data training and improvement of job (education) ability based on AI convergence The survey was conducted on the expectations of the participants and their intention to participate in the training process for the young talents. Male students were more satisfied than students. In terms of students, students who are less than 6th semester have the highest satisfaction, but students who are less than 7th and 8th semesters are less satisfied. By department, the satisfaction level of science and statistics students was the highest, while the satisfaction level of other students was low. According to the average of college credits, the satisfaction of students under 3.5~4.0 was the highest, and the satisfaction of students below 3.0 was the lowest.

• Convergence Security Journal
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• v.20 no.5
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• pp.65-74
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• 2020

Recently, with the rapid development of eXtended Reality(XR) technology, the development and use of education and training systems using XR technology is increasing significantly. In particular, in areas that involve great risks and high costs such as military training and counter-terrorism training, the use of XR based simulators is preferred because they can improve training performance, reduce training costs, and minimize the risk of safety issues that may occur in actual training, by creating a training environment similar to actual training. In this paper, we propose a plan to build and evaluate an XR based hyper-realistic counter-terrorism education, training, and evaluation system to improve the ROK police's ability to respond to terrorist situations using the 5G and AR based Integrated Command and Control Platform previously developed by the Korea Military Academy. The proposed system is designed to improve counter-terrorism capabilities with virtual training for individual and team units based on hyper-realistic content and training scenarios. Futhermore, it can also be used as a on-site command and control post in connection with a simulation training site and an actual operation site.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.159-166
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• 2023

Due to the aging workforce in the construction industry in South Korea, the accident rate has been increasing. The cognitive abilities of older workers are closely related to both safety incidents and labor productivity. Therefore, there is a need to improve cognitive abilities through personalized training based on cognitive assessment results, using cognitive training content, in order to enable safe performance in labor-intensive environments. The provided cognitive training content includes concentration, memory, oreintation, attention, and executive functions. Difficulty levels were applied to each content to enhance user engagement and interest. To stimulate interest and encourage active participation of the participants, the difficulty level was automatically adjusted based on feedback from the MMSE-DS results and content measurement data. Based on the accumulated data, individual training scenarios have been set differently to intensively improve insufficient cognitive skills, and cognitive training programs will be developed to reduce safety accidents at construction sites through measured data and research. Through such simple cognitive training, it is expected that the reduction of accidents in the aging construction workforce can lead to a decrease in the social costs associated with prolonged construction periods caused by accidents.

• Convergence Security Journal
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• v.17 no.5
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• pp.179-186
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• 2017

The purpose of this study is to analyze the relation of security officers' martial arts training and job performance. To this end, we conducted surveys on security practitioners. The questionnaire consisted of three variables, "necessity of martial arts training, application to practical security work, improvement of job satisfaction". In this study for reliability analysis, Chronbach's Alpha coefficient was calculated. In order to verify the validity of the measured variables, exploratory factors were analyzed using the Berimax method. Both AVE and CR values of the measured variables were above the reference value of 0.5, indicating that the convergence validity was good. As a result of the hypothesis test, the standardization coefficient is 0.636 for "need for training in martial arts training${\Rightarrow}$practical security work", 0.986 for "practical security work${\Rightarrow}$job satisfaction improving", and the relationship between the two hypotheses is positive(+). In order to improve the job satisfaction of security-related practitioners, it seems necessary to raise the need for martial arts training.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.70-75
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• 2022

With the spread of various digital devices, devices have become commonplace in modern society. Moreover, due to the increase in device usage and online learning while staying indoors during the COVID-19 pandemic, symptoms such as an increase in myopia in children due to eye fatigue, an increase in young presbyopia, and dry eye syndrome are increasing, and now people are paying attention to eye health. This is different from before. There are various prescriptions for eye health, but in this paper, we would like to propose a training method for enhancing visual function using VR contents. The analog methods of the existing teaching aids for visual function reinforcement training were planned and produced as digital contents, and VR-based training contents were selected from among the various methods carried out with teaching aids at the visual function training center, which can be made into contents. was developed with In the training process for each content, it was proposed to apply eye tracking to the VR device in order to give the user feedback on their participation in the training so that the management and concentration of the training process could be analyzed.