• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1861-1869
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• 2022

Recent climate change can increase the frequency and damage of wildfires worldwide. It can also lead to the deterioration of the forest ecosystem and increase casualties and economic loss. Satellite-based indices for forest damage can facilitate an objective and rapid examination of burned areas and help analyze inaccessible places like North Korea. In this letter, we conducted a detection of burned areas in North Korea using the traditional Normalized Burn Ratio (NBR), the Normalized Difference Vegetation Index (NDVI) to represent vegetation vitality, and the Fire Burn Index (FBI) and Forest Withering Index (FWI) that were recently developed. Also, we suggested a strategy for the satellite-based detection of burned areas in the Korean Peninsula as a result of comparing the four indices. Future work requires the examination of small-size wildfires and the applicability of deep learning technologies.

• Journal of Advanced Navigation Technology
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• v.26 no.2
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• pp.113-118
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• 2022

Motivated by people highlighting important phrases while reading or taking notes we propose a neural network training method by highlighting defective pixel areas to classify effectively defect types of images with complex background textures. To verify our proposed method we apply it to the problem of classifying the defect types of tire band fabric images that are too difficult to classify. In addition we propose a backlight highlighting technique which is tailored to the tire band fabric images. Backlight highlighting images can be generated by using both the GradCAM and simple image processing. In our experiment we demonstrated that the proposed highlighting method outperforms the traditional method in the view points of both classification accuracy and training speed. It achieved up to 13.4% accuracy improvement compared to the conventional method. We also showed that the backlight highlighting technique tailored for highlighting tire band fabric images is superior to a contour highlighting technique in terms of accuracy.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.37-44
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• 2022

Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.1
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• pp.39-48
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• 2022

Purpose : This study aimed to determine the experiences of the disaster response team 9 participants who participated in the disaster after the fire incident occurred in Jecheon Sports Center and their meaning and essence. Methods : Nine disaster response teams were the subjects of the study, and Individual in-depth interviews were conducted. Data were collected online between January 6 and April 30, 2021, from the software Zoom^TM. This study was conducted as a qualitative study by applying Giorgi's phenomenological experiential research method, which has an advantage in revealing the essential structure and meaning of experience. Results : Three major themes were derived from the study results: the stimulus through unfamiliar experiences, the grievances due to work environment and regional characteristics, and dullness resulting from hiding and enduring. The following 17 sub-themes were identified: learning through unfamiliar experiences, frustration due to unexpected circumstances, shock from unfamiliar experiences, doing my best in the present, confidence due to increased experience, disunified system, intervention of various interests, the atmosphere that puts responsibility on others, inactive help, unforgettable regional characteristics, working without time to settle, tolerating it in my own way, memories left in the unconsciousness, sudden suffering from memories that come to mind, movement in anxiety and tension, dullness, work with colleagues in the same situation. Conclusion : This study is meaningful in that it attempted to provide basic data in preparing a long-term strategy for effective policy direction and institutional protection based on the systematic mental health management of the disaster response team. Additionally, this study's results can be used as primary data for future research among Disaster Response Team.

• Korea Trade Review
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• v.42 no.4
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• pp.159-184
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• 2017

OECD MNE Guidelines ('OECD Guidelines') was set forth in 1976 as a form of annex to the OECD Declaration on International Investment and Multinational Enterprises. The objective of the OECD Guidelines is to fulfill the implementation and adoption of the Responsible Business Conduct ('RBC') among the adhering states. To further the effectiveness of the OECD Guidelines, OECD, specifically the Investment Committee of OECD, has utilized National Contact Point ('NCP') structure. According to the Procedural Guidance annexed to the OECD Guidelines, peer learning is prescribed as an important tool for promoting and facilitating the implementation procedures of the OECD Guidelines. This paper, inter alia, is mainly focusing on the peer review mechanism applicable to NCPs because negative assessments by peers are likely to harm Korea's state image and entail international criticisms even though such reviews are conducted voluntarily. In addition, the Working Party on Responsible Business Conduct ('WPRBC') decided to have a peer review of Korean NCP in 2019. This paper first outlines the meaning and current applications of the peer review mechanism, and then analyzes specific peer review cases conducted in Denmark and Belgium in 2015, and in 2016, respectively. Lastly, based on the issues handled in the peer review reports on the above states, this paper makes a few recommendations for Korean government to prepare the peer review scheduled in 2019.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.321-331
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• 2023

This study aimed to develop an engineering design-based science education program for high school students and to investigate its effects on students' science-related attitudes and engineering design abilities. "Creating healthy shoes for maintaining proper posture program" was developed as an activity to come up with creative solutions using the methodology of an engineering design process to solve problems in daily life. The creating healthy shoes for maintaining proper posture program consisted of the following five stages: "defining the problem," "ingathering information related to the problem," "generating the solution," "implementing the best solution," and "evaluating the solution & reflecting." As a result of applying this engineering design-based science education program, it improved the high school students' science-related attitudes and engineering design abilities. Therefore, the program developed in this study has a positive effect on enhancing high school students' science-related attitudes and engineering design abilities. These findings imply that the continuous operation and expansion of activities incorporating an engineering design process in science education are necessary as a teaching and learning strategy for cultivating future science talents.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.17-26
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• 2023

Blockchain technology has emerged as one of the most crucial solutions in numerous industries, including healthcare. The combination of blockchain technology and cloud computing results in improving access to high-quality telemedicine and healthcare services. In addition to developments in healthcare, the operational strategy outlined in Vision 2030 is extremely essential to the improvement of the standard of healthcare in Saudi Arabia. The purpose of this survey is to give a thorough analysis of the current state of healthcare technologies that are based on blockchain and cloud computing. We highlight some of the unanswered research questions in this rapidly expanding area and provide some context for them. Furthermore, we demonstrate how blockchain technology can completely alter the medical field and keep health records private; how medical jobs can detect the most critical, dangerous errors with blockchain industries. As it contributes to develop concerns about data manipulation and allows for a new kind of secure data storage pattern to be implemented in healthcare especially in telemedicine fields is discussed diagrammatically.

• Steel and Composite Structures
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• v.48 no.2
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• pp.179-190
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• 2023

Many recent attempts have sought accurate prediction of pile pullout resistance (P_ul) using classical machine learning models. This study offers an improved methodology for this objective. Adaptive neuro-fuzzy inference system (ANFIS), as a popular predictor, is trained by a capable metaheuristic strategy, namely equilibrium optimizer (EO) to predict the P_ul. The used data is collected from laboratory investigations in previous literature. First, two optimal configurations of EO-ANFIS are selected after sensitivity analysis. They are next evaluated and compared with classical ANFIS and two neural-based models using well-accepted accuracy indicators. The results of all five models were in good agreement with laboratory P_uls (all correlations > 0.99). However, it was shown that both EO-ANFISs not only outperform neural benchmarks but also enjoy a higher accuracy compared to the classical version. Therefore, utilizing the EO is recommended for optimizing this predictive tool. Furthermore, a comparison between the selected EO-ANFISs, where one employs a larger population, revealed that the model with the population size of 75 is more efficient than 300. In this relation, root mean square error and the optimization time for the EO-ANFIS (75) were 19.6272 and 1715.8 seconds, respectively, while these values were 23.4038 and 9298.7 seconds for EO-ANFIS (300).

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.145-151
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• 2023

This study was attempted to provide basic data for the development of the nursing major curriculum and the admission strategy for attracting new students by identifying the perception of the nursing major among freshmen in the nursing department. Participants in this study were 40 freshmen who agreed to participate in the study among freshmen in the department of nursing who completed self-exploration, a required liberal arts course for freshmen opened in the first semester of 2021. Data collection was a study diary written by participants after 15 weeks of class, and the traditional content analysis method suggested by Heieh and Shannon was applied to data analysis. As a result of the study, three themes were derived: 'motivation for entering the nursing major', 'value of the nursing major', and 'obstacles to the nursing major'. Therefore, colleges and departments need to strengthen their entrance examination strategies to develop and conduct field trip programs for experiential departments linked to middle and high schools and It is necessary to solve the difficulties in taking major courses by providing subject and extracurricular programs targeting students who lack basic learning ability.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.159-166
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• 2023

Humanities are as crucial as the technology itself in the intelligent information society. Human-centered convergence information technology (IT), which reflects emotional and human nature, can be considered a unique technology with an optimistic outlook in the unpredictable future. Based on this research background, this paper proposed an education model that can improve the IT humanities capabilities of various learners, including elementary and secondary students, prospective teachers, incumbent teachers, school managers, and the general public, through analysis of previous studies on convergence education models. Furthermore, the practical aspects of the proposed model were closely examined so that the proposed education model could be stably incorporated and utilized in the educational field. There are seven strategies for implementing the education model proposed in this paper, including research on textbooks, teaching and learning materials, activation of research results, maker space creation, global joint research, online education operation, developing living lab governance, and diversification of self-sustaining platforms for sustainable and practical education. In the future, validity verification through expert Delphi is required as a follow-up study.