Search

With the long-term dependence of humans on ore-based energy, underground mines are utilized around the world, and underground mining is often dangerous. Therefore, many underground mines have established networks that manage and acquire information from sensor nodes deployed on miners and in other places. Since the power supplies of many mobile sensor nodes are batteries, green communication is an effective approach of reducing the energy consumption of a network and extending its longevity. To reduce the energy consumption of networks, all factors that negatively influence the lifetime should be considered. The degree constraint minimum spanning tree (DCMST) is introduced in this study to consider all the heterogeneous factors and assign weights for the next step of the evaluation. Then, a genetic algorithm (GA) is introduced to cluster sensor nodes in the network and balance energy consumption according to several heterogeneous factors and routing paths from DCMST. Based on a comparison of the simulation results, the optimization routing algorithm proposed in this study for use in green communication in underground mines can effectively reduce the network energy consumption and extend the lifetimes of networks.

The study aimed to establish an improvement of body composition analysis prediction model which was suitable for Chinese. This model retained these parameters which were used in former European body composition analysis estimation model such as weight, height 2 /impedance and age, added the correlation factor of Height, and trained the model's weights coefficient respectively by gender. Simulation and the experiments had proved that this paper's model got better degree of correlation and standard deviation than former models.

By introducing the regulation of nervous-endocrine-immune net into the research of wind-power yaw control system, and designing an artificial intelligent yaw controller based on the nervous-endocrine-immune regulatory mechanism of the organism. The controller received the environmental information by artificial immune system and to make the appropriate yaw control .We can get the feedback of control performance by artificial nervous and endocrine system. The adjustment can be inherited through genetic algorithm to ensure that the yaw system of self-learning and adaptive ability. Efficiency of the method was verified on a wind turbine mode using MATLAB. Compares with the fuzzy PID and the traditional PID, results show that the controller has more efficient in terms of the stability and robustness.

In this paper, an even low-magnification by light solar concentrator with the use of the spherical mirror's refraction is designed. The calculation of the concentration ratio and the volume of the concentrator are given, and the concentrator on the unit inter-shading problem is discussed. The relationship between incident angle and optical efficiency is analyzed, and solar concentrator tracking control mode is designed in this article. The simulation experiment results show that this spherical refraction solar concentrator is able to be applied to ensure the condenser unit to absorb ray intensity as five times as the ratio one under the conditions of mutual non-shading.