The purpose of this investigation is to enhance the survival rate of patients by transporting them to the hospital within the golden hour through the operational improvement of emergency dispatch instruction. To this end, problems and improvements of current operating system were derived by carrying out a survey against paramedics of Incheon city in 2012 and analyzing the current emergency dispatch instruction. This study analyzed the emergency activity daily reports for one year from January 1 through December 31, 2012 and researched the consciousness of 119 emergency medical technician. According to the analysis of the survey, there were no meaningful differences in the on-site arrival times per triage. Therefore, the item of 'Emergency Classification' specified in the emergency dispatch instruction needs to be integrated in the scheme of "triage". Also, the feedbacks of the emergency action log and the emergency dispatch instruction are necessary for 'duty for operation' to review the adequacy to the severity after the end of emergency operation. Finally, the improvement of the system for the continuous communication between the paramedics and the command staff is necessary. This improvements as stated above are expected to contribute to raise survival rate of patients.

This study aimed to identify the recognition of fire risks on their field operations among firefighters and contribute to setting up safety measures accordingly. A self-administered questionnaire were used to evaluate their recognition of job risks. About 93.4% of respondents answered they have exposed to job risks and 73.4% answered that they had high safety awareness. Our study showed that the lower service years and ranks the fire officers had, the lower relevance in statistics their awareness of the risk of the field operations and safety concerns had. The vulnerable group is those aged 20 to 39, with under 10 years of service, at a lower rank of senior fire sergeant. The study suggests coming up with the measures to motivate the officers to perform safe operations by improving their safety awareness.

Recently, many vision-based navigation methods have been introduced as an intelligent robot application. However, many of these methods mainly focus on finding an image in the database corresponding to a query image. Thus, if the environment changes, for example, objects moving in the environment, a robot is unlikely to find consistent corresponding points with one of the database images. To solve these problems, we propose a novel navigation strategy which uses fast motion estimation and a practical scene recognition scheme preparing the kidnapping problem, which is defined as the problem of re-localizing a mobile robot after it is undergone an unknown motion or visual occlusion. This algorithm is based on motion estimation by a camera to plan the next movement of a robot and an efficient outlier rejection algorithm for scene recognition. Experimental results demonstrate the capability of the vision-based autonomous navigation against dynamic environments.