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hemodynamic data including MAP, HR, and SpO2 before and after induction, immediately after tracheal intubation, after artificial pneumoperitoneum, at cessation of anesthetics, immediately after extubation

For the assignment problem in UAVs against multi-target, model is established of UAV attack advantage and target threat level respectively from attack and defense, and comprehensively establish the UAVs against multi-target optimization model. Transform the model into a multivariable nonlinear optimization problem, an optimization method based on cell winning suppression (CWS) is proposed, set the target simulation scenario to test the performance of CWS. It is also compared with the Hungarian method and Genetic algorithm. Comparing with other mathematical optimization methods, the simulation results show that the CWS algorithm has more advantages in the computational efficiency and the attack of the key targets.

In this paper, we propose a Generalized Multi-Bernoulli Filter for Track-before-detect (GMB-TBD) of objects from image observations when the objects' influence regions are overlapping. We analyze the overlapping objects' measurement likelihood function, estimate this likelihood function by predicted objects' states and eliminate the objects' overlapping influence on objects' states updating using this estimation. In this filter, the predicted and updated objects' states are strictly assumed as Multi-Bernoulli RFS(Random Finite Set), so it's a truly Multi-Bernoulli based TBD filter and it can be used under either the objects' influence region overlapping or non-overlapping situations. We give the filter's realization steps, prune and extract the objects' tracks by labeling the Multi-Bernoulli components. Lastly, we test the GMB-TBD filter's performance by computer Monte-Carlo simulations.

The general power system based on single-slice motor control have many advantage such as control safety and operation stabilize, this paper is taking the illumination system under single-slice motor control as example, has discussed single-slice motor control circuit (the modular of low voltage) how to carry out realization of accurate timing control for general power system (the modular of high voltage).

In some complex control system, the performance of data acquisition system has a direct impact of the performance index of the whole control system, so it has the important significance that research the accurate assessment method of data acquisition system. This paper put forward a performance quantitative method of data acquisition system based on model identification. Its basic idea is as follows: treating transverse impact response of finite length units (FIR) filter as system model to obtain the system characteristics of the sinusoidal signal amplitude and phase shift characteristics as indexes. In the system identification, the channel parameters of system is iterated by the least mean square (LMS) algorithm, equate the output of system in response to sinusoidal signal. and obtain the transmission characteristic of the sinusoidal signal of data acquisition system; Finally, the simulation test of the algorithm is performed by the computer software, experimental results show that LMS reflects accurately the data acquisition characteristic of system, and provides a good analysis way for performance appraisal of acquisition system.