• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.1
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• pp.69-75
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• 2022

Due to the increase in the demand for anomaly detection according to the ageing of power generation facilities, the need for developing an anomaly detection method that can provide high-reliability turbine blade anomaly detection performance has been continuously raised. Additionally, the false detection results caused by a human error accelerates the increase of the need. In this paper, we propose an anomaly detection technique for turbine blades in power plants using deep neural networks. Experimental results prove that the proposed technique achieves stable anomaly detection performance while minimizing human factor intervention.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.95-95
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• 2023

Common hydrological problems of developing countries include poor data management, insufficient measuring devices and ungauged watersheds, leading to small or unreliable data availability. This has greatly affected the adoption of artificial intelligence techniques for flood risk mitigation and damage control in several developing countries. While climate datasets have recorded resounding applications, but they exhibit more uncertainties than ground-based measurements. To encourage AI adoption in developing countries with small ground-based dataset, we propose data augmentation for regression tasks and compare performance evaluation of different AI models with and without data augmentation. More focus is placed on simple models that offer lesser computational cost and higher accuracy than deeper models that train longer and consume computer resources, which may be insufficient in developing countries. To implement this approach, we modelled and predicted streamflow data of the Asa River Watershed located in Ilorin, Kwara State Nigeria. Results revealed that adequate hyperparameter tuning and proper model selection improve streamflow prediction on small water dataset. This approach can be implemented in data-scarce regions to ensure timely flood intervention and early warning systems are adopted in developing countries.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.409-421
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• 2018

The purpose of this study was to examine the effects of shoulder rehabilitation exercise convergence program. This study used a nonequivalent control group pretest-posttest design. A sample of 58 patients undergoing shoulder surgery, was included. The experimental group was given shoulder rehabilitation exercise convergence program including audiovisual education, shoulder rehabilitation exercise and exercise monitoring. The data were collected using a structured questionnaire and measured range of motion(ROM) of shoulder joint and were analyzed using descriptive statistics, ${\chi}^2-test$, t-test and ANCOVA. The experimental group reported significantly lower shoulder pain than control group(p<.001). Shoulder joint ROM and exercise self-efficacy were significantly higher in the experimental group than in the control group(p=.038; p<.001). This findings indicate that shoulder rehabilitation exercise convergence program can be an effective intervention for shoulder surgery patients. Continued development of convergence interventions for patients undergoing various conditions in practice, is suggested.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.38-49
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• 2021

This study is single-group pretest-posttest design study to examine the effects of web-based cognitive training program using tablet on cognition and depression in the elderly with high risk of dementia or mild dementia living in a rural area, enrolled in dementia center. Intervention was provided to the 18 participants once a week for 10 weeks within 1 hour. Data was analyzed with SPSS 24.0 and interview data was categorized. The study result proves that after intervention, the participants' cognitive score increased significantly(Z=-3.35, p=.001) and the depression scores were significantly decreased(Z=-3.13, p=.002). Also, interview shows positive effect of the intervention on cognition and depression. It is necessary to improve access environment for smart devices so as not to be restricted by time and place, and to develop and apply various types of web-based programs for each cognitive level. Then, the intervention could be used as a cognitive training program incorporating information and communication technology for the prevention and management of dementia in rural areas.

• Journal of Service Research and Studies
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• v.11 no.4
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• pp.67-76
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• 2021

The importance of smart learning is increasing as the speed of development of non-face-to-face services increases due to the influence of COVID-19. This study is the user satisfaction evaluation model that utilizes the causal relationship between variables used for evaluation, focusing on the usability evaluation results of the learning disability intervention service (www.basic-edu.net) according to the need to evaluate the use satisfaction of the smart learning system. To this end, theoretical studies were conducted on smart learning and learning disability intervention services, www.basic-edu.net, usability evaluation of learning disability intervention systems, and use satisfaction evaluation models. And based on the results, a hypothesis was presented on the user satisfaction evaluation model of the smart learning system. The experimental method allowed 40 students and parents across the country to use the www.basic-edu.net service and was evaluated for its usability. In addition, using this data, the hypothesis was verified using regression analysis based on four variables: ease of use, interest, self-learning, and satisfaction with use. As a result of the hypothesis verification, it was found that the causal relationship of all hypotheses from H1 to H4 was significant.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.365-374
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• 2013

This study was performed to find out the knowledge and attitude of smoking, and smoking cessation recommendation among nursing students. The data were collected from 529 nursing students being at three colleges in Gwangju city through structured questionnaire from 1 to 30 October 2012. In results, the smoking cessation recommendation showed statistically significant differences in grading, residence, subjective health perception, recognition about smoking, present smoking, assessment experience of smoking history, experience of smoking cessation recommendations, and participation intention of smoking cessation intervention education. The smoking cessation recommendation had correlated with smoking knowledge and smoking attitude. In multiple regression analysis, the participation intention of smoking cessation intervention education, the attitude and knowledge of smoking, and experience of smoking cessation recommendation were significant factors of the smoking cessation recommendation explaining 15.5% of the variables. To enhance recommendations of smoking cessation for patients, there are necessary to enforce smoking cessation intervention program for nursing students and increase the experience of smoking cessation intervention recommendation of nursing students in clinical practice.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.33-43
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• 2016

The purpose of this study was using a meta-analysis to estimate effect size of school violence prevention program. Using an objective and systematic method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 33studies were selected and 129 effect size were calculated as analysis objects. The overall effect size of school violence prevention program was 0.624. In the human characteristic, the affective domain had the largest effect size. Next were the physical domain, cognitive domain, the social domain and the complex domain. Analysis on age of participant, high grade elementary students group had the largest effect size. Next were the high school students, middle school students and the lower grade elementary students group. Analysis on intervention periods, tertiary prevention had a largest effect size. Next were secondary prevention and primary prevention. Based on the findings, implications for future study were discussed.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.221-231
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• 2018

The purpose of this study was to identify the effect of simulation integrated with problem based learning(SIM-PBL) on nursing students. A non-equivalent pre-post test of quasi-experimental design was used. 37 were assigned to an intervention group and 41 to a control group. SIM-PBL was applied to intervention group and simulation was applied to control group. Data were analyzed using the SPSS 20.0 program. There were significant increases in system thinking(t=2.14, p=.036), proactivity in problem solving(t=2.07, p=.042), and performance ability for medication(t=5.26, p=<.001) in the intervention group compared to the control group. However, there was no difference in learning flow between the intervention and control groups. In order to adapt to the clinical setting, it is necessary to consider the SIM-PBL needs to be considered in the curriculum of nursing students.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.217-223
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• 2017

With the development of sensor networks and Internet of Things (IoT) technology, personalized context information has been collected and customized services can be provided to related users. Currently, the context information system is at the level of analyzing and recognizing user specific behavioral characteristics and generating events.In the IoT environment, IoT products themselves should provide the required services with minimal user intervention, rather than acting for a specific purpose. In this paper, to minimize the user intervention in the IoT environment, we implemented an automatic attendance recognition system using context information from the ECG based on beacon. Environment of provided specific Context information, we compared and analyzed the degree of user intervention among the authentication method using ECG sensor in this paper and the existing authentication method. As a result of the analysis, we confirmed that the system implemented in this paper minimizes user intervention.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.479-486
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• 2016

The purpose of this study was to investigate effects of 12-week physical activity intervention on obesity and metabolic syndrome risk factors and smartphone game time in children. A total of 27 children(fifth grade elementary school students) participated in this study. The subjects were divided to exercise group(n=16) and control group(n=11), and participants in exercise group performed running and jump rope(60min/day; 3days/week; 50~70% of THR) during 12-week. We analyzed measurement data using two-way ANOVA. As results, obesity indices except body weight and metabolic syndrome risk factor decreased significantly in exercise group compare with control group. And VO2max increased and smartphone game time decreased significantly in exercise group compare with control group. In conclusion, we suggest that 12-week exercise intervention in children has positive effects on obesity and metabolic syndrome and improve negative lifestyle such as smartphone game.