Unfortunately, many persons are injured or killed during disasters. The problems of paper triage tags, which are widely used at disaster scenes, include an inability to show the current priorities of casualties and a failure to collect the physiological conditions of the casualties. To save lives, this paper proposes an electronic triage system that consists of two types of electronic triage tags and an electronic triage server. The electronic triage tag continuously monitors the vital signs of casualties and transmits them to the electronic triage server, and the electronic triage system shows the current priorities of the casualties. Experimental results show that our proposed electronic triage system can save more lives than paper triage tags.
A floorplan of a bounding box is its dissection into rectangles (rooms) by horizontal and vertical segments. This paper proposes a string data structure called the Quarter-state sequence (or Q sequence) to represent the floorplan. The Q sequence is a concatenation of the states of rooms along the Abe order and is related to the VH graph, which is the union of the vertical-constraint and horizontal-constraint graphs. It is proved that any floorplan of rooms is uniquely encoded by a Q sequence and any Q sequence is uniquely decoded to a floorplan, both in ( ) time. An exact formula for counting distinct floorplans is given and compared with existing bounds. A linear time transformation of one Q sequence to another is defined. An -room packing algorithm based on simulated annealing was implemented and found to compare favorably with existing packing algorithms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.