Traditional methods for monitoring targets rely heavily on probabilistic data association (PDA) or Kalman filtering. However, achieving optimal performance in a densely congested tracking environment proves challenging due to factors such as the complexities of measurement, mathematical simplification, and combined target detection for the tracking association problem. This article analyzes a target tracking problem through the lens of fuzzy logic theory, identifies the fuzzy rules that a fuzzy tracker employs, and designs the tracker utilizing fuzzy rules and Kalman filtering.

Soccer is type of sport that carries a high risk of injury. Injury is not only cause in the unlucky soccer carrier and also team performance as well as financial effects can be worse since soccer is a team-based game. The duration of recovery from a soccer injury typically relies on its type and severity. Therefore, we conduct this research in order to predict the probability of players injury type using machine learning technologies in this paper. Furthermore, we compare different machine learning models to find the best fit model. This paper utilizes various supervised classification machine learning models, including Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes. Moreover, based on our finding the KNN and Decision models achieved the highest accuracy rates at 70%, surpassing other models. The Random Forest model followed closely with an accuracy score of 62%. Among the evaluated models, the Naive Bayes model demonstrated the lowest accuracy at 56%. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history.

Many countries across the world are making efforts beyond reducing CO₂ levels and declaring 'net zero,' which aims to cut greenhouse gas emissions to zero by not emitting any carbon or capturing carbon, by 2050. Hydrogen is considered a key energy source to achieve carbon neutrality goals. Korean companies are also interested in building overseas green ammonia production plants and importing hydrogen into Korea in the form of ammonia. Green hydrogen production uses renewable energy sources such as solar and wind power, but the variability of power production poses challenges in plant design. Therefore, optimization of the configuration of a green ammonia production plant using renewable energy is expected to contribute as basic information for securing the economic feasibility of green ammonia production.

Hydrogen is considered a key energy source to achieve carbon neutrality through the global goal of 'net zero'. Due to limitations in producing green hydrogen domestically, Korean companies are interested in importing green hydrogen produced overseas. The Middle East has high-quality solar energy resources and is attracting attention as a region producing green hydrogen using renewable energy. To build a green ammonia plant, optimization of the production facility configuration and economic feasibility analysis are required. It is expected that it will contribute to reviewing the economic feasibility of constructing overseas hydrogen production plants through preliminary economic feasibility analysis.

Many first aiders suffer from the stress of working in uncertain disaster sites. The stress of responding to disasters leads to an increase in post-traumatic stress disorder (PTSD) and a decrease in psychological well-being. It also has many negative effects on the meaning in life for first aiders. Reduced meaning in life will result in many societal opportunity costs due to decreased health and work engagement. To address this issue, this study conducted a survey to analyze the level of meaning in life of first aiders. The results indicated that the overall level of meaning in life of first aiders is very low. This issue needs to be addressed sooner rather than later, given the increasing trend of emergency response. Based on the results of the study, measures were proposed to reduce PTSD and psychological stability by restoring the meaningfulness of first aiders' lives.

This study identified the power distance tendency of firefighters. Power distance propensity is one of the important organizational and cultural factors that influence the development of the organization. There is a big difference in the attitude of the members of the organization to perform their work according to the tendency of the distance of power. As a result of the main study, the overall level of power distance propensity of the subjects was 2.55 points on average. In particular, there was a significant difference in the propensity of power distance according to class (p<0.05). In the future, it is necessary to study the effect of job characteristics according to the rank of firefighters on the propensity to distance power. It is expected to form a positive organizational culture of the firefighting organization by utilizing the power distance tendency of the members of the organization.