Abstract: Dengue disease is still a serious problem in many tropical countries which risks nearly 40% of the world population. There are some intervention programs to eliminate the disease, however they seem unsuccessful so far. Many creative solutions are explored to overcome the disease since some conventional solution, such as spraying the mosquitoes with insecticides, have created more problems (e.g. resistance to the drug). The introduction of wolbachia-infected mosquitoes into the wild Aedes aegypti population is among the new method to control the transmission of the disease. In this paper we develop a mathematical model to investigate the possibility of non coexistence of these two mosquitoes populations. The analysis of the model shows that the introduction of wolbachia-infected mosquitoes is promising, since it can replace the natural population once they are release into the wild

• Publication Date: 29-Aug-2015
• DOI: 10.15224/978-1-63248-075-0-43
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Abstract: Dynamic Time Warping (DTW) has been widely used in time series domain as a distance function for similarity search. Several works have utilized DTW to improve the classification accuracy as it can deal with local time shiftings in time series data by non-linear warping. However, some types of time series data do have several segments that one segment should not be compared to others even though DTW can naturally warp across those segments. In this paper, we propose PartialDTW distance measure that utilizes domain knowledge about special characteristics of different sections of the data to limit the warping path. The experiment shows that our PartialDTW has much better performance when compare with other well known algorithms.

• Publication Date: 29-Aug-2015
• DOI: 10.15224/978-1-63248-075-0-44
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• Downloads: 0