With the social and economic development and people's living standards improve,more and more emphasis on modern society,people improve the quality of family life,the use of intelligent controller applications in h...
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ISBN:
(纸本)9781612848334
With the social and economic development and people's living standards improve,more and more emphasis on modern society,people improve the quality of family life,the use of intelligent controller applications in high-grade sanitary ware physiotherapy *** of high-grade sanitary ware physiotherapy common functions pointed out in the production and use of the possible risks,proposed implementation of the system hardware and matching,given the system software implementation ***-grade sanitary ware physiotherapy intelligent controller not only to achieve elegant and beautiful,simple,physical therapy,water power,deodorant,multi-function,intelligent control,to meet the consumers,the high-end sanitary ware market,strong demand,and accelerate the enterprise product Upgrade and improve the competitiveness of enterprises.
Concentration of carbon dioxide as the main greenhouse gas has been increasing, which has seri-ous impacts on climate change, ecosystem, and human health. This study uses the Regional At-mospheric Modeling System (RAM...
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Concentration of carbon dioxide as the main greenhouse gas has been increasing, which has seri-ous impacts on climate change, ecosystem, and human health. This study uses the Regional At-mospheric Modeling System (RAMS V6.2) with the Simple Biosphere (SiB-2) sub-model to simu-late and forecast the concentration of carbon dioxide over the Daintree Rainforest in Australia. To evaluate the performance of the model, results are compared with the satellite product (MultiIn-strumentFusedXCO2). This work evaluates the impact of various grid sizes, different combina-tions of diffusion parameters, and boundary conditions on CO2 simulations. Results reveal that RAMS can remarkably improve the statistical measures of the simulations particularly compared with the previous modeling analysis. The maximum mean bias error and RMSE in this study for all simulations are smaller than 1.85 and 2.07 ppm, respectively. The most proper simulation type (type III) leads to the average bias error and RMSE of 0.34 and 0.94 ppm, respectively. Fur-thermore, results show that the fuzzy algorithm is a proper method to provide initial CO2 in fore-casting. This study shows that RAMS can be efficiently used in CO2 simulation and forecasting, which is valuable for CO2 monitoring, climate, environment, and management applications.
This paper deals with the stable walking for a bipped robot, on uneven terrain, A bipped robot necessitates achieving posture stabilization since it has basic problems such as structural instability. In this paper, a ...
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ISBN:
(纸本)9781479999767
This paper deals with the stable walking for a bipped robot, on uneven terrain, A bipped robot necessitates achieving posture stabilization since it has basic problems such as structural instability. In this paper, a stabilization algorithm is proposed using the ground reaction forces, which are measured using FSR (Force Sensing Resistor) sensors during walking, and the ground conditions are estimated from these data. From this information the robot selects the proper motion pattern and overcomes ground irregularities effectively. In order to generate the proper angel of the joint. The performance of the proposed algorithm is verified by simulation and walking experiments on a 24-DOFs bipped robot.
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