This study aims to develop a Commercial Vehicle Integrated Traffic Safety System utilizing Connected Intelligent Transportation Systems (C-ITS) technology. This system provides functionalities for accident prevention and efficient traffic management through vehicle-to-vehicle and vehicle-to-infrastructure communications. The key findings suggest that the integrated system using C-ITS can offer functions for traffic safety and preliminary stages of autonomous driving. It is anticipated that by applying vehicle and Information and Communication Technology (ICT) technologies, traffic safety issues and driver convenience can be enhanced.

Degenerative arthritis is a common joint disease that affects many elderly people and is typically diagnosed through radiography. However, the need for remote diagnosis is increasing because knee pain and walking disorders caused by degenerative arthritis make face-to-face treatment difficult. This study collects three-dimensional joint coordinates in real time using Azure Kinect DK and calculates 6 gait features through visualization and one-way ANOVA verification. The random forest classifier, trained with these characteristics, classified degenerative arthritis with an accuracy of 97.52%, and the model's basis for classification was identified through classification algorithm by features. Overall, this study not only compensated for the shortcomings of existing diagnostic methods, but also constructed a high-accuracy prediction model using statistically verified gait features and provided detailed prediction results.

Refrigerators used in homes occupy a large portion of the power consumption. In addition, most of the power consumption of the refrigerator is used by the compressor. Therefore, it is necessary to study on the improvement of compressor efficiency to save energy. In this study, the suction system was changed to improve the efficiency of the linear compressor. For this, numerical analysis was performed by linking the 1 dimensional lumped model and the 2 dimensional axisymmetric CFD model. The numerical analysis results were also compared with the experimental results. As a result of the numerical analysis, the model with modified suction system increased EER by about 0.25% compared to the basic model, which was also confirmed by experiment.

This study identified the impact of the service quality of local food stores on customer satisfaction and revisiting intention of the customers as the interest into local foods is increasing. The main outcomes are as follows: First, many of the respondents said that they use the local food stores based on the trust in the origin of the products and good quality. Second, reliability and validity were suitable for factor analysis and the correlation had a positive (+) directivity. Third, reliability, assurance, empathy and tangibles were analyzed to have a positive (+) impact among the 5 aspects of service quality except for responsiveness. Fourth, customer satisfaction had a positive (+) impact on the intention to revisit the local food stores, and reliability, assurance and empathy had a positive (+) impact on revisiting intention at the statistical significance level except for responsiveness and tangibles among the 5 service quality aspects. Therefore, it is thought to be required to keep having interests into service quality to gain a competitive edge as a sustainable management system since the service quality of local food stores has impacts on customer satisfaction and intention to revisit.