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	1. Disaster Response System Based on GIS
	JIAO Yanan,AI Gang,ZHANG Kehui,WANG Yue
	Mathematics 09 September 2019
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:Puerto Rico was hit by a hurricane in 2017. In this paper, we will design a disaster response system for help, inc., which makes full use of the various devices and containers mentioned in this paper, and can meet the anticipated medical needs in the event of future disasters. According to the number of medical packages received during the duration of the hurricane on the island, the number of cargo holds that received medical packages was calculated. Through the analysis of given information, the carrying capacity, photographic capability and loading capacity of UAV can be obtained. The different attributes of UAV are given different weights by analytic hierarchy process, and the performance of different UAV is obtained. The packing model is used to calculate the optimal components in the cargo hold. Then, an optimization model is established to calculate and minimize the number of UAVs. Then choose the place where ISO cargo containers will be placed. According to the location of the port and the point of demand, two containers were allocated to distribute medical kits for the Pavia Arecibo Hospital and Caribbean Medical Center. The location of three containers is selected by constructing Tyson polygon. Unmanned aerial vehicles in ISO containers will complete photographic missions in the corresponding areas. Finally, the expression of flight path is obtained by depth-first traversal of binary tree, and the flight schedule is obtained according to the length of road and the flight speed of UAV.
	TO cite this article:JIAO Yanan,AI Gang,ZHANG Kehui, et al. Disaster Response System Based on GIS[OL].[ 9 September 2019] http://en.paper.edu.cn/en_releasepaper/content/4749616


	2. Linear and Differentiable Classifications of ControlSystems with Observation
	LI Jing, ZHANG Zhi-Xiong
	Mathematics 23 December 2013
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:This paper concerns with the linear and differentiableclassification problems of time-invariant linear control systems(governed by ordinary differential equations) with observation. Asan example, the linear and differentiable classificationresults are expressed explicitly in the two-dimensional case. In some sense, theclassification result obtained partially generalizes P. Brunovsky's one onlinear control systems without observation.
	TO cite this article:LI Jing, ZHANG Zhi-Xiong. Linear and Differentiable Classifications of ControlSystems with Observation[OL].[23 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4577283


	3. The Energy Consumption Model for Cell phones and Landlines
	Sien Deng,Yang Yang,Zhuanna Guo
	Mathematics 22 April 2009
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	Abstract:Nowadays, more and more people are likely to choose cell phone as their communicating tool rather than land phone, how will it affect the energy cost? We choose the US as an example to model the using condition of cells and lands in a perspective of energy. For the next 50 years, a prediction is finally given about the change of the energy consumption due to the cell phone revolution in the current US. The conclusion is that the tendency of the total energy consumption per year is decreasing mainly because of the decrease in cell phone manufacturing costs.
	TO cite this article:Sien Deng,Yang Yang,Zhuanna Guo. The Energy Consumption Model for Cell phones and Landlines[OL].[22 April 2009] http://en.paper.edu.cn/en_releasepaper/content/31608


	4. Combination Forecast Model of Urban Water Consumption
	MA Dan,BAI Qing-sheng
	Mathematics 04 October 2008
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	Abstract:Seeking for a scientific and reasonable forecast model is the key point to ensure accurate and reliable prediction results for the urban water consumption. In this paper, a new model is established to solve the combinatorial weighted coefficients by using the forecast precision, and a simple method is introduced to solve the grey-neural network combination forecast model. Based on many examples, the new urban water consumption forecast model is proved to be very effective and much more accurate.
	TO cite this article:MA Dan,BAI Qing-sheng. Combination Forecast Model of Urban Water Consumption[OL].[ 4 October 2008] http://en.paper.edu.cn/en_releasepaper/content/24520

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