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| 1 | Underground pressure characteristics analysis in back-gully mining of shallow coal seam under a bedrock gully slope显示文摘我们在一个基岩溪谷斜坡下面在浅煤缝接在背溪谷采矿期间学习了地下的压力和它的机制,借助于物理模拟,数字建模并且地监视。结果证明地下的压力的紧张与它在 coalface 的相对位置有关。地下的压力是集中的,当 coalface 在溪谷的底部时,支持抵抗到达最大值,而地下的压力是中等的并且当 coalface 传递溪谷时,逐渐地减少。当斜坡在不稳定的、多边的块依赖了的采矿和形式组织的背溪谷期间在一个颠倒的方向旋转了到斜坡剧降时,这些变化的机制被分析,由于滑倒。当块破碎是小的时,多边的块的沉淀是可观的,导致在地下的压力的庞大的变化。随块身体的团的增加,块排水量将被减少与一起一增加在废矿由未破损的岩石和破岩石夹钳效果,导致地下的压力的减少。 | Wang Xufeng Zhang Dongsheng Fan Gangwei Zhang Chengguo | 2011 | Mining Science and Technology2011，21，1： | 16 |
| 2 | Computer-Assisted DEM-Based Aero Photography Design显示文摘在航空测量,主要因素是地面波动。然而,大多数为航空测量设计使用的外部航空测量软件不考虑地面波动影响。因此,设计结果有比较 randomicity 和“差距”被期望。一个航空测量设计系统被与 DEM 数据分析地面波动影响到设计结果开发以便前面的重叠和方面重叠能根据块地面波动被认为正当遇见说明或标准。这个系统设计的数据与真实的飞数据相比。结果证明使用 DEM 在航空测量设计帮助能保证设计结果更好适合真实地面。 | FAN Yewen GONG Jianya TAN Chengguo WANG Ruiyao | 2008 | Geo-Spatial Information Science2008，11，1： | 2 |
| 3 | A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment显示文摘Although the flowerpot is widely used for indoor flowers,it cannot meet the needs of intelligent management during the uncared-for period.The objective of this study was to design a new microcontroller-based smart flowerpot.Its overall system was composed of three parts:information collection layer,automatic control layer and data transmission layer.Firstly,in the process of collecting information,the Laiyite criterion and the normalized weighted average algorithm were adopted to improve the accuracy of information collection.Secondly,for making precise control decisions,the fuzzy control was used to achieve automatic on-demand watering.Finally,the method for comparative analysis of regional light intensity was utilized to achieve light-seeking and light-supplementing.Experimental results showed that the smart flowerpot had strong anti-jamming performance for information collection,the relative soil moisture of flowers could be stably maintained near the optimum humidity(65%),and the light was well-distributed on the flower with the error angle of light-supplementing ranged from-3°to 3°. | Xihai Zhang Dong Liu Chengguo Fan Jiali Du Fanfeng Meng Junlong Fang | 2018 | International Journal of Agricultural and Biological Engineering2018，11，2： | 2 |
| 4 | Aberrant expression of microRNAs in gastric cancer and biological significance of miR-574-3p显示文摘 | Yingying Su Zhaohui Ni Guoqing Wang Juan Cui Chengguo Wei Jihan Wang Qing Yang Ying Xu Fan Li | 2012 | International Immunopharmacology2012，，4： | 1 |
| 5 | Novel obstacle-avoiding path planning for crop protection UAV using optimized Dubins curve显示文摘In recent years,the crop protection unmanned aerial vehicle(UAV)has been raised great attention around the world due to the advantages of more efficient operation and lower requirement of special landing airport.However,there are few researches on obstacle-avoiding path planning for crop protection UAV.In this study,an improved Dubins curve algorithm was proposed for path planning with multiple obstacle constraints.First,according to the flight parameters of UAV and the types of obstacles in the field,the obstacle circle model and the small obstacle model were established.Second,after selecting the appropriate Dubins curve to generate the obstacle-avoiding path for multiple obstacles,the genetic algorithm(GA)was used to search the optimal obstacle-avoiding path.Third,for turning in the path planning,a strategy considering the size of the spray width and the UAV’s minimum turning radius was presented,which could decrease the speed change times.The results showed that the proposed algorithm can decrease the area of overlap and skip to 205.1%,while the path length increased by only 1.6%in comparison with the traditional Dubins obstacle-avoiding algorithm under the same conditions.With the increase of obstacle radius,the area of overlap and skip reduced effectively with no significant increase in path length.Therefore,the algorithm can efficiently improve the validity of path planning with multiple obstacle constraints and ensure the safety of flight. | Xihai Zhang Chengguo Fan Zhanyuan Cao Junlong Fang Yinjiang Jia | 2020 | International Journal of Agricultural and Biological Engineering2020，13，4： | 0 |
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