Abstract. In this paper, we present a simple explicit type numerical method for discretizations in time for solving one dimensional Burgers' equations. The proposed method does not need an iteration process that may be required in most implicit methods and have good convergence and efficiency in computational sense compared to other known numerical methods. For evidences, several numerical demonstrations are also provided.
Using multidimensional liquid chromatography technology, a liquid chromatography sample pretreatment system which was controlled by a microcontroller was designed. Real sample pretreatment experiments have been done. The experimental results showed that the complex samples can be separated effectively with this system according to 3 polarities. The operation of this system is simple, fast and high automatic, which meet the requirements of pretreatment of liquid chromatography complex samples.
This paper proposed a novel RED protocol which takes the node's energy into account depending on the length of the data packet. It also proposed a routing protocol for wireless sensor networks with congestion control which imitates the ant colony foraging behavior. Sensor nodes choose routings according to the pheromone density. The experiment result shows that the algorithm balances the energy consumption of each node. It mitigated congestion effectively with the proposed routing protocol.
ECG signal contains a large number of health information of human body, the accurate measurement of ECG signal have important significance on the prevention and treatment of cardiovascular disease (CVD). The existing pulse detection instruments cannot meet the needs of today's society in terms of portability and real-time, especially for the elderly with CVD, it almost has nothing effect on real-time monitoring. Therefore, a wrist pulse real-time monitoring system is designed in this dissertation, which can make real-time detection and record the pulse information, and do short-term heart rate variability (HRV) analysis to the pulse information gained, to react and sent a distress signal with multilevel alarm mechanism quickly when the patient is sick, trying the best to ensure the safety of patients' life. Experimental results show that the hardware circuit of this system is stable and reliable, and pulse analysis algorithm has a good consistency with a small amount of data, this system can be applied to CVD monitoring in modern family.
This paper proposes parameter optimization method of GP-MSE based on extraction parameters model. First, we identify the function relationship between dependent and independent variables by using neural networks. Second, independent variable set is made by interpolating the original independent variables, and then input these independent variables to fitted function to generate the dependent variable set. Last, we find the maximum value on dependent variable set to confirm the optimal parameters. Experimental result shows that the proposed method is not only simple and fast, but also ideal for recovery of single analyte.
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