• Journal of Internet of Things and Convergence
• /
• v.10 no.3
• /
• pp.7-12
• /
• 2024

The development of artificial intelligence technology changes the social structure and educational environment, and the importance of artificial intelligence capabilities continues to increase. This study was conducted with the purpose of developing a checklist of questions to measure AI capabilities of elementary school students. To achieve the purpose of the study, a Delphi survey was used to analyze literature and develop questions. For literature analysis, two domestic studies, five international studies, and the Ministry of Education's curriculum report were collected through a search. The collected data was analyzed to construct core competency measurement elements. The core competency measurement elements consisted of understanding artificial intelligence (6 elements), artificial intelligence thinking (4 elements), artificial intelligence ethics (4 elements), and artificial intelligence social-emotion (3 elements). Considering the knowledge, skills, and attitudes of the constructed measurement elements, 19 questions were developed. The developed questions were verified through the first Delphi survey, and 7 questions were revised according to the revision opinions. The validity of 19 questions was verified through the second Delphi survey. The checklist items developed in this study are measured by teacher evaluation based on performance and behavioral observations rather than a self-report questionnaire. This has the implication that the measurement results of competency are raised to a reliable level.

• Journal of Internet of Things and Convergence
• /
• v.10 no.3
• /
• pp.19-24
• /
• 2024

Recent advances in large-scale data processing technologies such as big data, cloud computing, and artificial intelligence have increased the demand for high-performance storage devices in data centers and enterprise environments. In particular, the fast data response speed of storage devices is a key factor that determines the overall system performance. Solid state drives (SSDs) based on the Non-Volatile Memory Express (NVMe) interface are gaining traction, but new bottlenecks are emerging in the process of handling large data input and output requests from multiple hosts simultaneously. SSDs typically process host requests by sequentially stacking them in an internal queue. When long transfer length requests are processed first, shorter requests wait longer, increasing the average response time. To solve this problem, data transfer timeout and data partitioning methods have been proposed, but they do not provide a fundamental solution. In this paper, we propose a dual queue based scheduling scheme (DQBS), which manages the data transfer order based on the request order in one queue and the transfer length in the other queue. Then, the request time and transmission length are comprehensively considered to determine the efficient data transmission order. This enables the balanced processing of long and short requests, thus reducing the overall average response time. The simulation results show that the proposed method outperforms the existing sequential processing method. This study presents a scheduling technique that maximizes data transfer efficiency in a high-performance SSD environment, which is expected to contribute to the development of next-generation high-performance storage systems

• Journal of Internet of Things and Convergence
• /
• v.10 no.3
• /
• pp.49-55
• /
• 2024

This study was conducted with the purpose of developing a checklist of questions to measure middle school students' AI capabilities. To achieve the goal of the study, literature analysis and question development Delphi survey were used. For literature analysis, two domestic studies, five international studies, and the Ministry of Education's curriculum report were collected through a search. The collected data was analyzed to construct core competency measurement elements. The core competency measurement elements are understanding of artificial intelligence (5 elements), artificial intelligence thinking (5 elements), utilization of artificial intelligence (4 elements), artificial intelligence ethics (6 elements), and artificial intelligence social-emotion (6 elements). elements). Considering the knowledge, skills, and attitudes of the constructed measurement elements, 31 questions were developed. The developed questions were verified through the first Delphi survey, and 10 questions were revised according to the revision opinions. The validity of 31 questions was verified through the second Delphi survey. The checklist items developed in this study are measured by teacher evaluation based on performance and behavioral observations rather than a self-report questionnaire. This has the implication that the level of reliability of measurement results increases.

• Journal of Internet of Things and Convergence
• /
• v.10 no.3
• /
• pp.57-64
• /
• 2024

In this paper, we propose a Line-of-Sight (LoS)/Non-Line-of-Sight (NLoS) identification- based Human Activity Recognition (HAR) system using Channel State Information (CSI) to improve the accuracy of HAR, which dynamically changes depending on the reception environment. to consider the reception environment of HAR system, the proposed system includes three operational phases: Preprocessing phase, Classification phase, and Activity recognition phase. In the preprocessing phase, amplitude is extracted from CSI raw data, and noise in the extracted amplitude is removed. In the Classification phase, the reception environment is categorized into LoS and NLoS. Then, based on the categorized reception environment, the HAR model is determined based on the result of the reception environment categorization. Finally, in the activity recognition phase, human actions are classified into sitting, walking, standing, and absent using the determined HAR model. To demonstrate the superiority of the proposed system, an experimental implementation was performed and the accuracy of the proposed system was compared with that of the existing HAR system. The results showed that the proposed system achieved 16.25% higher accuracy than the existing system.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.36 no.4
• /
• pp.129-137
• /
• 2024

An analytic solution for the interaction between an array of circular piles made by joining trapezoid steel pipes (TSP) and waves was obtained using an eigenfunction expansion method. First, an analytic model for the wave scattering of multiple piles fixed at arbitrary positions was derived, and then a simplified model was obtained assuming that an infinite array of identical piles were deployed perpendicular to the propagating direc- tion of incident waves. A regular wave experiment was conducted using an experimental model with a scale ratio of 1/100 in a two-dimensional wave tank to verify the analytic solutions. The analytic results and experimental results were qualitatively consistent with each other. Using a developed analytic model, we examined the wave force on the multiple piles and the wave deformation in front of the arrayed piles. The period for the installation is greatly reduced as the TSP pile can be prefabricated in a factory. In particular, it is possible to install at the soft seabed. A seawall structure using arrayed TSP piles will be an ideal complement for a concrete seawall in future.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.23 no.4
• /
• pp.37-53
• /
• 2024

This study selected bicycle road hazard detection factors for mobile IoT sensor device operation and developed service application plans. Twelve bicycle road hazard detection factors were derived through a focused group interview, and a fuzzy AHP-based importance analysis was conducted on 30 road and transportation experts. As a result, 'damage to pavement' (1st overall) and 'environmental obstacle' (2nd) with low visibility but a high risk of accidents were selected the most. The factors in terms of facility management, such as 'disconnected route occurrence' (4th), 'artificial obstacle' (5th), 'effective width' (6th), and 'poor drainage' (7th), were selected as the upper and middle areas. Factors that are not direct accident-inducing factors, such as 'loss of road markings' (11th) and 'free space width' (12th), were selected the least. Based on this, a plan was presented to apply the bicycle road hazard detection service and a service operation strategy according to real-time performance. Nevertheless, follow-up studies, such as human behavioral analysis based on bicycle operators, analysis according to the bicycle road type, service demonstration, and pilot operation, will be needed to develop safe bicycle road management is expected.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.351-356
• /
• 2024

This paper concerns the dynamic relational landscape between art curating and publishing, and proposes continued interest and research on it. Publishing about art functions as a major means of mediating and disseminating art practices. It is also a metaphorical space for curating that visualizes original creations and their discourse, and also has a collective character that converges various art practices. Accordingly, this paper examines the complex aspects implied in publishing as art curating and the meaning of its manifestation. In the main text of this paper, first of all, there are authors such as Seth Siegelaub, who used publications as a space to produce works and reveal them to the public, and art critic Lucy Lippard, who founded Printed Matter and filled the space with books produced by artists. We also examine the concept of publication as an 'exhibition' through several examples. We also analyzes the historical changes that have raised the status of publications containing the voices of curators by revealing the intellectual narrative inherent in experimental curating through printed materials. Lastly, we traced Kassel Documenta's publication strategy, which gave authenticity and authority to the act of art curating and raised social attention to the curator persona. This research process is intended to promote an expanded understanding of art curating and to confirm the importance of publication, which is considered a part of curating within the art world.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.505-511
• /
• 2024

This study is to identify the awareness and performance of hand washing according to the presence of Medical care onboard of Seafarers and provide basic data of education on hand washing that can be practically applied. 118 Seafarers were the study subjects and we distributed to those who agreed to participate in the study to carry out survey using questionnaire. The results showed that the average number of hand washing per day was 1~4 times (70 students, 59.3%). In the difference in hand washing perception according to the medical care board, statistically significant differences were found in all items except 'it needs to be completely dried after hand washing'(p<0.05). The difference in hand washing performance according to in-flight medical care was found to be statistically significant in all items except 'hand washing after coughing' and 'hand washing after touching money', 'before eating food such as drinks while working' and 'hand washing before patient contact' (p<0.05). The correlation between awareness and performance of hand washing showed that if awareness of hand washing is high, its performance is increased, too. We try to provide basic data of education on hand washing that can improve awareness and performance on hand washing based on the results of this study.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.523-536
• /
• 2024

This article examines the types of abalone as recorded in 17 royal protocols studies of the Joseon dynasty (1392-1909). The types of abalone food during the Joseon dynasty appeared. The frequency of the Abalone types during the Joseon dynasty in order were; 'Tang with abalone' 37.4%, 'abalone-stir-fried(炒)' 12.8%, 'raw-abalone(膾)' & 'hwayangjeok with abalone' each 9.9%, 'abalone-sever(折)' 8.8%, 'steamed-abalone(蒸)' 7.0%, the other abalone food 6.2%, 'abaloneripening(熟)' 4.4%, 'echae(魚采)' 3.6%. In Jeonbokcho(全鰒炒), abalone and beef were generally used. In the stirfried(炒), raw(膾), hwayangjeok(花陽炙), steamed(蒸), ripening(熟), jeotgal(醢) and dumplings(饅頭) containing raw-abalone(生鰒), raw-abalone(生鰒) was used, and in other cases, abalone(全鰒) was used. This study, based on years of research on Euigwe, emphasizes the academic value of the author's new role and research outcomes. We anticipate that these findings will contribute to product development and the systematic establishment of Korean food culture.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.827-832
• /
• 2024

The AI program Sora is a video production model that can be used innovatively and is the starting point of a major paradigm shift in video planning and production in the future. In this paper, through consideration of the characteristics, application, and process of the AI video production program, the characteristics of the AI design video production method were understood, and the production algorithm was considered. The detailed consideration and characteristics of the work creation process for the video graphic AI video generation program that will be intensified every year were examined. Next, the method of generating a customized video with a text prompt and the process of innovative production results different from the previous production method were considered. In addition, the design direction through the generation of AI images was studied through the review of the strengths and weaknesses of the image details of the recently announced AI music video results. By considering the security of the AI generation video Sora and looking at the internal process of the actual AI process, it will be possible to present indicators for the future direction of AI video model production and education along with the direction of the design designer and education system. In the text and conclusion, we analyzed the strengths and weaknesses and future status of OpenAI Sora image, concluded how to apply the Sora model's capabilities, limitations, quality, and human creativity, and presented problems and alternatives through examples of the Sora model's capabilities and limitations to increase human creativity.