• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.809-818
• /
• 2024

This paper proposes an action plan for local governments to safely utilize artificial intelligence technology in various local government policies. The proposed method analyzes cases of application of artificial intelligence-related laws and policies in Gyeonggi Province, Seoul City, and New York City, and then presents matters that local governments should consider when utilizing AI technology in their policies. This paper applies the AILocalism-Korea analysis methodology, which is a modified version of the AILocalsm analysis methodology[1] presented by TheGovLab at New York University. AILocalism-Korea is an analysis methodology created to analyze the current activities of each local government in the fields of legal system, public procurement, mutual cooperation, and citizen participation, and to suggest practical alternatives in each area. In this paper, we use this analysis methodology to present 9 action plans that local governments should take based on safe and reliable use of artificial intelligence. By utilizing various AI technologies through the proposed plan in local government policies, it will be possible to realize reliable public services.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.923-932
• /
• 2024

The purpose of this study is to explore the direction of teaching and learning in the era of science and technology. The conclusion is as follows: From the perspective of new materialism, the direction of teaching and learning first emphasizes the importance of learning experience. Second, a teaching method that emphasizes giving meaning is needed. Third, there is a need to consider various perspectives and backgrounds. The direction of teaching and learning in the era of phenomenology is, first, the meaning and meaning of learning is important. Second, it emphasizes the role of independent learners. Third, diverse experiences must be integrated. Fourth, a flexible approach is needed depending on the environment and situation. Rather than a fixed teaching method, it is necessary to use a variety of teaching strategies according to the situation and needs of the learner. From the perspective of actor network theory, the direction of teaching and learning needs to first embrace a variety of actors. Second, there is a need to understand the role of the mediator actor. Third, there is a need to emphasize the dynamic aspect of the network. Fourth, there is a need to emphasize interaction and giving meaning. Fifth, there is a need to strengthen interaction with technology. Sixth, there is a need to create a non-linear and open learning environment. The direction of society and teaching and learning presented in Trend Korea 2024 considers time as a precious resource in a divided society, and teaching and learning must adapt and develop in a useful direction in a changing environment.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.683-692
• /
• 2024

This study aimed to examine the effects of integrated simulation practice education for nursing college students on their communication skills, self-efficacy in learning, clinical reasoning ability, and clinical performance through a pre-post quasi-experimental design with a single group. The participants were 41 fourth-year nursing college students from a university located in G City, and the intervention took place from September to November 2023 over a period of nine weeks. The collected data were analyzed using SPSS 23.0, and the research findings are as follows. First, after simulation practice education, significant effects were observed in self-efficacy in learning (t=-2.21, p=.033), clinical reasoning ability (t=-2.97, p=.005), and clinical performance (t=-2.84, p=.007), but no significant difference was found in communication skills (t=-.224, p=.824). Second, after simulation classes for nursing students, clinical performance showed significant positive correlations with communication skills (r=.650, p<.001), self-efficacy in learning (r=.440, p<.001), and clinical reasoning ability (r=.824, p<.001). Based on these results, integrated simulation practice education for nursing students appears to be an effective educational method for enhancing their self-efficacy in learning, clinical reasoning ability, and clinical performance. To improve nursing students' clinical performance, it is necessary to operate simulation practices with various scenarios.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.30 no.1
• /
• pp.65-73
• /
• 2024

Maritime legislation encompasses a wide range of laws related to the maritime field. A significant number of laws that can be called maritime legislation have been enacted and implemented in domestic legislation. For all types of legislation, including maritime legislation, the meaning of the legal provisions must be clear for those who abide by the law, those who study the law, and those who enforce legislation. Nevertheless, the potential for considerable confusion exists because the definition is not stipulated in relation to the 'Route' specified and regulated in various maritime legislation. Further, the exact meaning of numerous cases is difficult to understand and can be interpreted in various ways. Adding to the confusion is the use of different terms with similar meanings. The maritime field changes and becomes more diverse, and many related maritime legislations are being enacted or amended to reflect this situation. The, authors propose to specify clear route definitions in individual legislation and replace parts that may cause unnecessary misunderstanding with similar terms. The authors believe that the confusion in compliance and enforcement of maritime legislation can be minimized .if these proposals are implemented.

• Journal of Korea Water Resources Association
• /
• v.57 no.2
• /
• pp.73-85
• /
• 2024

Predicting water quality of rivers and reservoirs is necessary for the management of water resources. Artificial Neural Networks (ANNs) have been used in many studies to predict water quality with high accuracy. Previous studies have used Gradient Descent (GD)-based optimizers as an optimizer, an operator of ANN that searches parameters. However, GD-based optimizers have the disadvantages of the possibility of local optimal convergence and absence of a solution storage and comparison structure. This study developed improved optimizers to overcome the disadvantages of GD-based optimizers. Proposed optimizers are optimizers that combine adaptive moments (Adam) and Nesterov-accelerated adaptive moments (Nadam), which have low learning errors among GD-based optimizers, with Harmony Search (HS) or Novel Self-adaptive Harmony Search (NSHS). To evaluate the performance of Long Short-Term Memory (LSTM) using improved optimizers, the water quality data from the Dasan water quality monitoring station were used for training and prediction. Comparing the learning results, Mean Squared Error (MSE) of LSTM using Nadam combined with NSHS (NadamNSHS) was the lowest at 0.002921. In addition, the prediction rankings according to MSE and R² for the four water quality indices for each optimizer were compared. Comparing the average of ranking for each optimizer, it was confirmed that LSTM using NadamNSHS was the highest at 2.25.

• Advanced Industrial SCIence
• /
• v.3 no.1
• /
• pp.23-29
• /
• 2024

In this scholarly investigation, the focus is placed on the transformative potential of edge computing in enhancing Intelligent Transportation Systems (ITS) for the facilitation of autonomous driving. The intrinsic capability of edge computing to process voluminous datasets locally and in a real-time manner is identified as paramount in meeting the exigent requirements of autonomous vehicles, encompassing expedited decision-making processes and the bolstering of safety protocols. This inquiry delves into the synergy between edge computing and extant ITS infrastructures, elucidating the manner in which localized data processing can substantially diminish latency, thereby augmenting the responsiveness of autonomous vehicles. Further, the study scrutinizes the deployment of edge servers, an array of sensors, and Vehicle-to-Everything (V2X) communication technologies, positing these elements as constituents of a robust framework designed to support instantaneous traffic management, collision avoidance mechanisms, and the dynamic optimization of vehicular routes. Moreover, this research addresses the principal challenges encountered in the incorporation of edge computing within ITS, including issues related to security, the integration of data, and the scalability of systems. It proffers insights into viable solutions and delineates directions for future scholarly inquiry.

• Journal of the Society of Disaster Information
• /
• v.20 no.1
• /
• pp.232-243
• /
• 2024

Purpose: Recently, large-scale forest fires caused by climate change, natural disasters, and human factors have been increasing every year in the East Coast and Taebaek Mountains region. Although forest fire extinguishing using helicopters is currently increasing, the need to introduce air force transport aircraft has continued to be raised due to the importance of early fire extinguishment to respond to large forest fires and the difficulty of extinguishing forest fires between sheep. This study seeks to present a plan for developing a post-fire management system for several aspects - achieving operational objectives, overcoming the operating environment, selecting a staging area, and efficient operation measures - to efficiently perform forest fire extinguishing missions using Air Force transport aircraft. Method: Based on literature research on forest fire extinguishing, forest fire extinguishing experiments using fixed-wing aircraft, and the operation status and operation method of forest fire extinguishing helicopters, the pros and cons of helicopter operation and the effects of large forest fire extinguishing using a large transport aircraft (C-130) Analyze the effectiveness of operation through analysis. Results: When extinguishing a large forest fire, an effective CM (Consequence Management) application plan was derived, including effective operation, control, command system, dispatch request, and forest fire extinguishment when integrating helicopter and fixed-wing aircraft (C-130). Conclusion: The application of the concept of CM (Consequence Management) is partially applied to some areas of chemical, biological, and radiological (CBRNE) protection in Korea, but efficient operation, control, and command systems are established when integrated operation of helicopters and large aircraft (C-130) in forest fire extinguishment. the concept of CM (Consequence Management), which is operated in advanced countries, was applied for safety management, dispatch requests, and forest fire extinguishing, thereby contributing to the establishment of a more advanced disaster and post-disaster management system.

• Journal of Nutrition and Health
• /
• v.57 no.2
• /
• pp.244-260
• /
• 2024

Purpose: With the 2021 revision of dietary guidelines in Korean emphasizing environmentally sustainable dietary practices, this study attempted to develop an evaluation tool to comprehensively evaluate the degree of practice and compliance with food and nutrient intake, dietary habits, and dietary culture guidelines based on the revised dietary guidelines. Methods: The candidate evaluation items were collected by reviewing 934 literature reviews on domestic and foreign dietary evaluations. Fifty-nine candidate items were derived by selecting the items corresponding to dietary guidelines. The content validity ratio (CVR) cutoff point evaluation was conducted with 11 experts to delete 11 items that did not meet the CVR standard. Fifty-five pilot survey candidate items were selected through revision and additional process according to expert opinion. Seventy final candidate items were selected by adding 15 questions for validity verification and reference. A pilot survey was conducted online and offline on 332 adults aged 19-64 in Seoul and the metropolitan area, and exploratory factor analysis was used to verify the construct validity of the evaluation items. Through exploratory factor analysis, the Kaiser-Meyer-Olkin, Bartlett's sphericity test, variance explained, and Cronbach's alpha criteria were confirmed in each process. Results: Exploratory factor analyses derived three criteria: food and nutrient intakes (11 items), eating behaviors (9 items), and dietary culture (14 items), consisting of 34 evaluation items. Conclusion: The present scale was validated and can be used for comprehensive evaluations of the dietary guidelines for Korean adults in a simple way.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.23 no.1
• /
• pp.82-96
• /
• 2024

While analyzing traffic flow, speed, traffic volume, and density are important macroscopic indicators, and acceleration and spacing are the important microscopic indicators. The speed and traffic volume can be collected with the currently installed traffic information collection devices. However, acceleration and spacing data are necessary for safety and autonomous driving but cannot be collected using the current traffic information collection devices. 'You Look Only Once'(YOLO), an object recognition technique, has excellent accuracy and real-time performance and is used in various fields, including the transportation field. In this study, to measure acceleration and spacing using YOLO, we developed a model that measures acceleration and spacing through changes in vehicle speed at each interval and the differences in the travel time between vehicles by setting the measurement intervals closely. It was confirmed that the range of acceleration and spacing is different depending on the traffic characteristics of each point, and a comparative analysis was performed according to the reference distance and screen angle to secure the measurement rate. The measurement interval was 20m, and the closer the angle was to a right angle, the higher the measurement rate. These results will contribute to the analysis of safety by intersection and the domestic vehicle behavior model.

• Journal of Industrial Convergence
• /
• v.22 no.2
• /
• pp.97-103
• /
• 2024

The purpose of this study was to examine the impact of balance training on the Inbody and recovery of the balance capability in stroke patient with obesity. The exercise program was to conduct obesity group and normal weight group, 22 subjects were divided equally into experimental(obesity) and controlled group(normal weight), assigned to excercise using the balance training system for 30min a day and 5 days a week. Every pre and post-experimental data of both groups were gathered by Inbody and BSS(Biodex Medical Systems) for 8 weeks. As a result, Comparing the intra-group data measured by Inbody, obesity group showed significant difference in every parameter (p<.05). In the inter-group data, every parameter showed significant difference between both groups (p<.05). Comparing the intra-group data of LOS(Limits Of Stability), obesity group showed significant difference with all parameters, except with 'Backward' and 'Left' (p<.05). In the inter-group data, 'Forward' parameter showed significant difference. Comparing the intra-group data of PS(Postural Stability), obesity group showed significant difference with all parameters (p<.05). The inter-group PS(Postural Stability) results differed significantly only with 'Med/lat'(p=.000). The above results implicate about the following conclusions that the balance training had a big effect on the Inbody and recovery of the balance capability in stroke patient with obesity.