• Journal of Industrial Convergence
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• v.17 no.3
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• pp.39-49
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• 2019

This study, as a study on building platforms for smart campus ecosystem, took an approach that reflected the needs of various stakeholders of smart campus, and focused on functions to help them strengthen their competitiveness and advance into society by focusing on the learning of the most important university student users, college life, and social connection. First, we looked at the theories related to smart campus construction through prior research, and next, through domestic and international environmental analysis and trend analysis, we designed and presented a target model for e-portfolio focusing on core competency development and support system for Industry-Academic Cooperation, and proposed the main point for continuous smart campus development model.

• PNF and Movement
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• v.18 no.1
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• pp.35-44
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• 2020

Purpose: The purpose of this study was to investigate the effect of the simultaneous abdominal drawing-in maneuver (ADIM) on the muscle activity of the ipsilateral trunk and leg during proprioceptive neuromuscular facilitation (PNF) leg flexion, adduction, and external rotation with knee flexion (D1) patterns. Methods: The participants were 20 healthy adult males and females (18 males and 2 females). The maneuvers were performed by a physical therapist who fully understands the PNF leg patterns (D1) and their application in clinical practice. The participants were trained and allowed to practice for 15 minutes prior to applying ADIM, to ensure adequate learning as evidenced by the pressure biofeedback unit. In this study, we measured the muscle activity of the trunk and leg when the PNF leg pattern (D1) was performed by the physical therapist either sustaining or releasing the ADIM. Muscle activity was measured on the right transverse abdominis muscle (TRA), the external abdominal oblique muscle (EO), the internal abdominal oblique muscle (IO), the erector spinae muscle (ES), the vastus medialis oblique muscle (VMO), the vastus lateralis oblique muscle (VLO), and the tibialis anterior muscle (TA) and compared using the mean values from averaging three repeated measurements. Results: The muscle activity of the transversus abdominis, the external abdominal oblique, the internal abdominal oblique, the vastus medialis oblique, and the vastus lateralis oblique was significantly greater (p < 0.05), and the muscle activity of the erector spinae was significantly less (p < 0.05) during PNF leg pattern (D1) when the ADIM contraction was sustained compared to when it was not. Conclusion: These results suggest that sustaining ADIM during PNF leg pattern (D1) training increases the trunk and leg muscle activity, resulting in more effective training.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.181-188
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• 2021

Research and importance of legal services applied with AI so that it can be easily understood and predictable in difficult legal fields is increasing. In this study, based on the decision of the Tax Tribunal in the field of tax law, a model was built through self-learning through information collection and data processing, and the prediction results were answered to the user's query and the accuracy was verified. The proposed model collects information on tax decisions and extracts useful data through web crawling, and generates word vectors by applying Word2Vec's Fast Text algorithm to the optimized output through NLP. 11,103 cases of information were collected and classified from 2017 to 2019, and verified with 70% accuracy. It can be useful in various legal systems and prior research to be more efficient application.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.145-162
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• 2021

Purpose: The 2018 General survey of emergency assistance was conducted to examine the working conditions and welfare, including educational direction, interests, and awareness of work, of the fire department emergency medical technicians (EMT). This would be used as basic data for future policy directions. Methods: Among the fire-fighting officers in 16 cities nationwide, emergency rescue workers engaged in first-aid activities were targeted. With prior consent, a survey was conducted through electronic documents. Of the total 1,227 people, responses from 1,151 were finally analyzed, excluding 76 who did not respond appropriately. Results: The working conditions and welfare of 119 firefighters were moderate, but in the fields of education and interest, the learning according to the regulations was high. In particular, satisfaction with the scope of work was found to be below average. However, it was positive that it will play a role as a social safety net in the future and will converge with cutting-edge science. Conclusion: Although this study was a total investigation of the EMT survey, conducting an EMT survey on all fire fighters in Korea is difficult. Further research is needed, particularly on first-class emergency medical personnel who play a major role in 119 paramedics.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.193-202
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• 2018

The purpose of this study was to focus on the personality education which is considered a requirement in university education and searched the components to be considered to develop an integrated curricular-noncurricular system to promote the personality education. For this purpose, a method of study was used to explore relevant prior studies in the form of appeal. The basic components of the integrated curricular-noncurricular system for personality education in university are: 'fundamental contents of regular courses of personality education as a fundamental noncurricular program', 'noncurricular areas and hands-on topics related to the contents of regular courses of personality education', 'configuration of integrated curricular-noncurricular system of personality education', 'capacities for personality education and organic categorization', and 'management of follow-up learning'. Finally, the conclusions discussed above were based on the conditions of the leader that could be realized on the basis of the personality education curriculum at the university site.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.1
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• pp.33-38
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• 2019

This paper proposes an effective recognition method of VPI patient's speech employing DNN-HMM-based speech recognition system, and evaluates the recognition performance compared to GMM-HMM-based system. The proposed method employs speaker adaptation technique to improve VPI speech recognition. This paper proposes to use simulated VPI speech for generating a prior model for speaker adaptation and selective learning of weight matrices of DNN, in order to effectively utilize the small size of VPI speech for model adaptation. We also apply Linear Input Network (LIN) based model adaptation technique for the DNN model. The proposed speaker adaptation method brings 2.35% improvement in average accuracy compared to GMM-HMM based ASR system. The experimental results demonstrate that the proposed DNN-HMM-based speech recognition system is effective for VPI speech with small-sized speech data, compared to conventional GMM-HMM system.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.7-12
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• 2019

The application of neural networks to stock forecasting has received a great deal of attention because no assumption about a suitable mathematical model has to be made prior to forecasting and they are capable of extracting useful information from data, which is required to describe nonlinear input-output relations of stock forecasting. The paper builds neural network models to forecast daily KOrea composite Stock Price Index (KOSPI), and their performance is demonstrated. MAPEs of NN1 model show 0.427 and 0.627 in its learning and test, respectively. Based on the predicted KOSPI price, the paper proposes an alpha trading for trades in Exchange Traded Funds (ETFs) that fluctuate with the KOSPI200. The alpha trading is tested with data from 125 trade days, and its trade return of 7.16 ~ 15.29 % suggests that the proposed alpha trading is effective.

• Education of Primary School Mathematics
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• v.22 no.3
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• pp.149-166
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• 2019

The purpose of this study is to analyze the statistical literacy in elementary school students when they beginning inference. Picto-graphs provide statistical information and often data-related arguments they certainly qualify as objects for interpretation, for critical evaluation, and for discussion or communication of the conclusions presented. For research, the inference from pictograph task was designed and statistical literacy standards for evaluating the student's level was presented based on prior studies. Evaluating student's statistical literacy is meaningful in that it can check their current level. To know the student's current level can help them achieve a higher level of performance. The outcomes of this research indicate that pictograph can provide a basis for rich tasks displaying not only student's counting skills but also their appreciation of variation and uncertainty in prediction. Raising statistical thinking by students is an important goal in statistical education, and the experience of informal statistical reasoning can help with formal statistical reasoning that will be learned later. Therefore, the task about the inference from a pictograph, discussions on statistical learning of elementary school children are expected to present meaningful implications for statistical education.

• Journal of Christian Education in Korea
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• v.64
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• pp.409-444
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• 2020

The purpose of this study is to develop and propose a tool for accurately diagnosing factors influencing academic activities in Christian University. The first, the evaluation area is composed of factors that influence the academic life of students. Then, by developing a tool to diagnose the status in that areas, it is intended to provide a basis for providing appropriate help for students to adjust to university life. This tool composed items through prior research and developed a draft of tool through Delphi research. The draft tool was verified for reliability and validity by analyzing the response values of 182 freshmen at K University. As a result of the analysis, the reliability showed high reliability of .869~.955 for each diagnosis area. In conclusion, through the results of EFA and CFA, a final diagnostic tool was developed and suggested.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.199-208
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• 2021

Automatic Post Editing(APE) is the study that automatically correcting errors included in the machine translated sentences. The goal of APE task is to generate error correcting models that improve translation quality, regardless of the translation system. For training these models, source sentence, machine translation, and post edit, which is manually edited by human translator, are utilized. Especially in the recent APE research, multilingual pretrained language models are being adopted, prior to the training by APE data. This study deals with multilingual pretrained language models adopted to the latest APE researches, and the specific application method for each APE study. Furthermore, based on the current research trend, we propose future research directions utilizing translation model or mBART model.