• Korean Journal of Remote Sensing
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• v.38 no.3
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• pp.299-309
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• 2022

Recently, The sea water temperature around Korean Peninsula is steadily increasing. Water temperature changes not only affect the fishing ecosystem, but also are closely related to military operations in the sea. The purpose of this study is to suggest which model is more suitable for the field of water temperature prediction by attempting short-term water temperature prediction through various prediction models based on deep learning technology. The data used for prediction are water temperature data from the East Sea (Goseong, Yangyang, Gangneung, and Yeongdeok) from 2016 to 2020, which were observed through marine observation by the National Fisheries Research Institute. In addition, we use Long Short-Term Memory (LSTM), Bidirectional LSTM, and Gated Recurrent Unit (GRU) techniques that show excellent performance in predicting time series data as models for prediction. While the previous study used only LSTM, in this study, the prediction accuracy of each technique and the performance time were compared by applying various techniques in addition to LSTM. As a result of the study, it was confirmed that Bidirectional LSTM and GRU techniques had the least error between actual and predicted values at all observation points based on 1 hour prediction, and GRU was the fastest in learning time. Through this, it was confirmed that a method using Bidirectional LSTM was required for water temperature prediction to improve accuracy while reducing prediction errors. In areas that require real-time prediction in addition to accuracy, such as anti-submarine operations, it is judged that the method of using the GRU technique will be more appropriate.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.143-150
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• 2022

The folk language that lives and breathes in modern works does not just come from old stories, but it is a personal narrative which is based on the experiences of the narrator. Like many genres in oral literature, most of these personal narratives occur from the impulse of communicating and reinventing rather than from the impulse of creating. Compared to traditional folktales, stories about an individual's experiences, such as personal narratives are often performed by adding the individual tendencies of the narrator. In so doing, the phenomenon of "processing the experience by estimating it and reinterpreting the memories roughly" occurs, and this is a significant factor in making the oral literature. However, the question that arises here is: How can we deal with these significant elements that are inevitably captured when performed orally? Text linguistics, the main methodology of this paper, implies the possibility of expressing the impromptu elements of oral literature. Also, textual linguistic analysis of personal narratives provides the possibility of discussing oral characteristics from various angles which have been difficult to analyze, such as on-site atmosphere, speaker mistakes, contradictions in stories, and audience reactions. Hence, it is possible to effectively discuss oral-poetics in oral literature which are based on the one-off of 'words', the 'roughness' of the on-site atmosphere, and the stackability of the 'wisdom of crowds'. Furthermore, it is expected to contribute to the study of personal narrative storytelling that plays an important part in Veabal art in community culture.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.151-162
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• 2022

Recently, contests for college students have emerged as an important factor in employment through self-development, and parents' psychological control on college students can prevent the development of autonomy by suppressing decisions and expressions without helping their children become independent. Therefore, this study aims to find out how the parental psychological control perceived by college students affects the motivation to participate in the contest through self-determination. As a result of the study, first, it was found that the psychological control of separation anxiety of parental psychological control negatively affects only the competence among self-determination. Second, it was found that achievement-oriented parental psychological control had a negative effect on all factors of self-determination. Third, it was found that among self-determination factors, competence had a positive effect on pleasure, financial reward, and recognition of others, and a negative effect on a sense of accomplishment. Fourth, it was found that the relationship among self-determination factors had a positive effect on pleasure, financial compensation, and recognition of others. The results of this will be used as basic data to understand the motivation of college students to participate in the contest and the psychological control of their parents.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.89-96
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• 2022

This study conducted to investigate the effects of Peer-Assisted Learning(PAL) applied to nursing education on self-directed learning ability, academic self-efficacy, and academic achievement of nursing students. The research design was a pre-post-post design with an inequality control group, and a total of 229 students from G University who agreed to participate in the study were included. After the completion of regular classes, the experimental group(N=117) was given a PAL program at least once a week for 10 weeks, and the control group(N=112) was given individual self-learning for 10 weeks. The collected data were analyzed using descriptive statistics, X2-test, and independent t-test using SPSS/WIN 21.0. As a result, self-directed learning ability(t=6.50, p<.001), academic self-efficacy(t=2.01, p=.046), and academic achievement(t=4.98, p<.001) were higher in the experimental group than in the control group. As the positive effect of peer learning on nursing students was confirmed through the results of this study, it can be used as useful basic data when designing extracurricular activities for nursing education.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.385-391
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• 2022

Quality evaluation of beef carcasses is an important issue in the livestock industry. Recently, through the AI monitor system based on artificial intelligence, the quality manager can receive help in making accurate decisions based on the analysis of beef carcass images or result information. This artificial intelligence dataset is an important factor in judging performance. Existing datasets may have different surface orientation or resolution. In this paper, we proposed a two-stage classification model that can efficiently manage the grades of beef carcass image using deep learning. And to overcome the problem of the various conditions of the image, a new dataset of 1,300 images was constructed. The recognition rate of deep network for 5-grade classification using the new dataset was 72.5%. Two-stage evaluation is a method to increase reliability by taking advantage of the large difference between grades 1++, 1+, and grades 1 and 2 and 3. With two experiments using the proposed two stage model, the recognition rates of 73.7% and 77.2% were obtained. As this, The proposed method will be an efficient method if we have a dataset with 100% recognition rate in the first stage.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.23-33
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• 2022

The study was conducted to develop an implementation model for digital transformation (DX) of manufacturing companies. To this end, previous studies on the process of management innovation and digital transformation were reviewed. The DX process model was derived based on the NEBIC theory and innovation theory applied in the innovation process of the Internet business. In addition, a research model including the factors of the will of the top management class (TMT) was constructed and confirmed through empirical data. The research hypothesis were verified based on data collected from members of mid-sized manufacturing companies promoting digital transformation. Through regression analysis, the influence relationship of each stage of the research model (technical knowledge, TK → opportunity perception, OR → performace expectation, PE and → Intention to execute, IE) was confirmed. Hierarchical regression analysis was conducted to understand the mediating effect of the members' perception of the top management's willingness to promote DX in the process. As a result of checking the Sobel test, it was confirmed that the management's perception of DX promotion partially mediated the relationship at each stage. This study is meaningful in that it presented a model applicable to the digital transformation of the mid-sized manufacturing industry. It is also valuable in providing an empirical basis for innovative research and NEBIC expansion. Longitudinal studies are required to overcome the limitations of empirical data for process models with dynamic characteristics whereas extended empirical studies are required in various fields other than manufacturing to generalize research results.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.543-550
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• 2021

This study is a descriptive investigative research study to understand the relationship between perceived parental parenting attitude, grit, and career decision-making self-efficacy of nursing students. The subjects of the study were 195 nursing students located in G city, data were collected from April to October 2019. The data analysis used the SPSS 24.0 program and descriptive statistics, correlation, and multiple regression analysis were conducted. As a result of the study, the father's parenting attitude was 41.84±7.55 points, the mother's parenting attitude was 42.97±8.74 points, grit was 103.43±12.74 points, and career decision-making self-efficacy was 76.99±10 points. Career decision-making self-efficacy was a significant negative correlation with the father's parenting attitude (r=-.228, p<.001), Mother's parenting attitude (r=-.257, p<.001). However, There was a significant positive correlation with grit(r=.584, p<001). The major factors that affect the career decision-making self-efficacy were grit(β=.553, p<.001), and It's explanatory power was 35.2%. Therefore, in order to improve the career decision-making self-efficacy of nursing students, guidance and education using a strategy to increase grit is necessary.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.779-783
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• 2021

The amount of sunlight (irradiation) acts as a very important factor for paprika (Capsicum annuum L.) productivity, but there are difficulties in developing a standard model for estimating paprika productivity using irradiation factors. This study was conducted to investigate how to increase the suitability of using irradiation as an independent variable when developing a standard model. In the linear regression analysis using the independent variable (cumulative irradiation) and the dependent variable (cumulative productivity) were classified as the average value of the total farm productivity (MTFP), and above and below (MHFP, MLFP) based on the average value, respectively. The RMSE value of the estimated linear regression model was 0.9418 kg·m^-2 in the MHFP, which was significantly lower than 1.5468 kg·m^-2 in the MTFP and 1.3812 kg·m^-2 in the MLFP. And in due course of time (month), RMSE value was also the lowest in MHFP, below 1.0 kg·m^-2 in all months. Therefore, when developing a regression model for estimating paprika productivity using irradiation, it is judged that it will improve the suitability of the estimation model by classifying and analyzing the difference in productivity of farms with an appropriate method.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.537-543
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• 2022

The purpose of this simulation study was to evaluate the possibility of pancreas detection through effective atomic number information using dual-energy computed tomography(CT). The effective atomic number of 10 tissue-equivalent materials were estimated through stoichiometric calibration. For stoichiometric calibration, HU values at low-energy (80 kV) and high-energy (140 kV) for 10 tissue-equivalent materials were used. Based on this method, the effective atomic number image of the tissue-equivalent material was extracted through an iterative algorithm. According to the results, the attenuation ratio in accordance with the effective atomic number was estimated to have an R² value of 0.9999, and the effective atomic number of Pancreas, Water, Liver, Blood, Spongiosa, and Cortical bone was overall within 1% accuracy compared to the theoretical value. Conventional pancreatic cancer examination uses a contrast medium, so there is a possibility of potential side effects of the contrast medium. In order to solve this problem, it is thought that it will be possible to contribute to an accurate and safe examination by extracting the effective atomic number using dual-energy CT without contrast enhancement. Based on this study, future research will be conducted on the detection of pancreatic cancer using the HU value of pancreatic cancer based on clinical images.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.423-432
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• 2021

The purpose of this study is to investigate the effect of role recognition of students participating in middle school soccer club activities applying sports education model on responsibility and self-directed learning. In order to achieve this purpose, 410 samples were selected from male students based in Busan using the convenience sampling method. Among them, and 370 data were finally verified through frequency analysis, exploratory factor analysis, Cronbach's α coefficient calculation, and correlation analysis using the SPS statistics 25.0 program. Finally, a regression analysis was performed for hypothesis testing, and the results were as follows. First, the awareness of the role of the student participating in middle school soccer club activities, which applied the sports education model, was found to have a positive effect in part on the sense of responsibility. Second, the role recognition of students participating in middle school soccer club activities, which applied the sports education model, was found to have a partial positive influence on self-directed learning. Finally, the responsibility of students participating in middle school soccer club activities, which applied the sports education model, was found to have a positive effect on self-directed learning in part. Therefore, physical education teachers should ensure that students can choose the right roles for themselves through various role experiences in soccer classes so that more active learning can take place.