• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.807-816
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• 2021

With the technology of the 4th industrial revolution, network traffic is increasing due to an increase in supply, an increase in demand, and an increase in the complexity of traffic patterns. SDN, a concept in which H/W and S/W are separated in order to efficiently manage such massive traffic, is attracting attention as a next-generation network. A lot of research is being conducted on the merits of applying flexible policies by avoiding the problem of rigid vendor dependency by using the SDN controller implemented with S/W Opensource. Therefore, in this paper, we propose an efficient load balancing technique by grouping through the packet structure of the network layer using the control layer and infrastructure layer of SDN and analyzing the packet delay and reception rate.

• Journal of Industrial Convergence
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• v.19 no.3
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• pp.35-40
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• 2021

This study attempted to derive important factors of emerging infectious diseases by collecting and analyzing text data onto emerging infectious diseases. For this purpose, articles in the Naver News database were directly crawled, pre-processed, and used for data analysis. In addition, additional analysis was performed using Big Kinds. As a result of the priority analysis, the importance was shown in the order of corona, infectious disease, quarantine, vaccine, outbreak, virus, infection, and development. As a result of the proximity centrality analysis, the importance was shown in the order of government, death, and plan, and the analysis result of Big Kinds showed that Covid-19 and the Korea Centers for Disease Control and Prevention were important. Based on the results of this study, it can be said that the government's policy support is needed to raise public awareness of new infectious diseases, prevent disease, and develop vaccines and treatments.

• Journal of Environmental Science International
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• v.30 no.1
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• pp.11-17
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• 2021

This research was conducted to propose the basic direction of a smart city plan for the satisfaction of residents of Gangwon-do. Initially, the awareness of smart cities among the residents of Gangwon-do was as follows: The response "I have no idea" was 21.7% higher and "I do not know the details, but have heard of it" was 15.1% lower than the awareness among residents across the nation. Based on these results, it was confirmed that awareness was very low despite the government's smartification reinforcement policy. In addition, the residents of Gangwon-do expected that their time would be saved and their living convenience would increase but were worried that their privacy would be invaded and that the conflict between generations would intensify. Thus, it is necessary to develop a plan to enhance the awareness of smart cities, as well as a plan to enhance digital awareness. Second, based on the importance of and satisfaction with the urban problem response system examined among the residents of Gangwon-do, it seems necessary to prioritize improvements in public space control and administrative problem responses involving deteriorated parks/plazas, pedestrian environment, and administrative processing inefficiency and fairness. Additionally, the first prioritization priority of the residents of Gangwon-do was "health/welfare/medical service" (27.7%); the second and third highest priorities were "transportation service" (26.3%) and "environmental service" (19.0%), respectively. In particular, as "transportation service" was highly preferred in the Chuncheon and Wonju regions and "health/welfare/medical service" was highly preferred in the Gangneung, Sokcho, and other southern regions, it was confirmed that the level of urbanization is deeply associated with smart services.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.287-299
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• 2022

The article deals with the formation of managerial competence of the future head of preschool education institution by means of information and communication technology as a prerequisite for his ability to act competently and objectively evaluate actions and understand the interaction of forms and content of preschool education. The article aimed to study the effectiveness of information and communication technologies in the formation of managerial competence of the future head of preschool education institution. To achieve the objectives, the methods of comparative and systematic analysis were used to compare different views on the problem under study, namely, the formation of managerial competence of the future head of preschool education institution by means of information and communication technologies. The authors of the article determined that the use of information and communication technologies in the preparation of future heads of preschool educational institutions is of great importance and is an indicator in the structure of managerial competence. The priority directions of the use of various software products for the study of the modern Ukrainian language, methods of teaching the Ukrainian language contribute to the intensification of learning material. It is noted that the current state of development of information technologies and their widespread use in education satisfies the requirements of the objectivity of the assessment obtained the quality of the control process of forming the managerial competence of the future leader in the context of the general problems of pre-school education. It is noted that the means of information and communication technologies play a leading role in creating new educational policies and projects, as they motivate the way of access to knowledge.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.1-8
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• 2023

In this paper, we propose a training method of a recommendation learning model that analyzes the battlefield situation and recommends a suitable hypothesis for the current situation. The proposed learning model uses the preference determined by comparing the two hypotheses as a label data to learn which hypothesis best analyzes the current battlefield situation. Our model is based on Siamese neural network architecture which uses the same weights on two different input vectors. The model takes two hypotheses as an input, and learns the priority between two hypotheses while sharing the same weights in the twin network. In addition, a score is given to each hypothesis through the proposed post-processing ranking algorithm, and hypotheses with a high score can be recommended to the commander in charge.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.94-107
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• 2022

Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

• Korean Medical Education Review
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• v.24 no.1
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• pp.3-9
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• 2022

The concept of "public health care (public health and medical services)" as discussed in South Korea is used in an unclear sense, with a meaning unlike the terminology used worldwide. The terms "public health care (public health and medical services)" and "health care (health and medical services)" have the same legal definition in Korea. Globally, "public health care (public health and medical services)" refers to medical services provided to the public that are operated as publicly funded resources, but in Korea, this term is confined to limited medical services prescribed by the government. The following considerations regarding "public health care (public health and medical services)" in Korea are proposed: All medical services performed by the state, regional governments, health care institutions, or health care workers to protect and promote the health of the people should be clearly established as "public health care (public health and medical services)" by definition. The financial burden borne by the state through national health insurance should be increased to an appropriate level to clarify the state's responsibility. Improving public health is an urgent priority in Korea, and this goal can be achieved by improving regional public health through systematic relationships between the state and regional governments, establishing a Ministry of Health, and efficiently allocating public health doctors who are important for providing regional medical care in rural and remote areas. It will be possible to actively deal with infectious diseases at the national level through establishment of a Ministry of Disease Control and Prevention.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.29-43
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• 2023

It is necessary to grasp the characteristics of traffic flow passing through a specific road section and the topological structure of the road in advance in order to quickly prepare a movement management strategy in the event of a disaster or disaster. It is because it can be an essential basis for road managers to assess vulnerabilities by microscopic road units and then establish appropriate monitoring and management measures for disasters or disaster situations. Therefore, this study presented spatial density, time occupancy, and betweenness centrality index to evaluate vulnerabilities by road link in the city department and defined spatial-temporal and topological vulnerabilities by clustering analysis based on distance and density. From the results of this study, road administrators can manage vulnerabilities by characterizing each road link group. It is expected to be used as primary data for selecting priority control points and presenting optimal routes in the event of a disaster or disaster.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.41-49
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• 2023

Objectives: Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015; however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45%. The best options for the early detection and treatment of stunting should be made a community policy priority, and health services remain an issue. Hence, this research aimed to develop a model for predicting stunting in Rwandan children. Methods: The Rwanda Demographic and Health Survey 2019-2020 was used as secondary data. Stratified 10-fold cross-validation was used, and different machine learning classifiers were trained to predict stunting status. The prediction models were compared using different metrics, and the best model was chosen. Results: The best model was developed with the gradient boosting classifier algorithm, with a training accuracy of 80.49% based on the performance indicators of several models. Based on a confusion matrix, the test accuracy, sensitivity, specificity, and F1 were calculated, yielding the model's ability to classify stunting cases correctly at 79.33%, identify stunted children accurately at 72.51%, and categorize non-stunted children correctly at 94.49%, with an area under the curve of 0.89. The model found that the mother's height, television, the child's age, province, mother's education, birth weight, and childbirth size were the most important predictors of stunting status. Conclusions: Therefore, machine-learning techniques may be used in Rwanda to construct an accurate model that can detect the early stages of stunting and offer the best predictive attributes to help prevent and control stunting in under five Rwandan children.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.580-581
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• 2021

There are various Location-Based Services(LBS) that apply GPS technology in mobile devices such as smart-phone and tablet. In this paper, we designed non-face-to-face oriented LBS software in the reality that non-face-to-face services are increasing due to COVID-19. The proposed model searches location information for trading goods or services and utilizes information identified in real time. The proposed scheduling and priority control algorithm provides efficient service allocations and simulation was performed based on web/app to verify this. While commercialized LBS platforms focus on used goods transactions, the designed method is different in that it provides non-face-to-face services and not-direct transactions between individuals. It provides a wide range of transactions and services to users such as small business owners and franchises.