3D laser scanning strategy based on cascaded deep neural network

A 3D laser scanning strategy based on cascaded deep neural network is proposed for the scanning system converted from 2D Lidar with a pitching motion device. The strategy is aimed at moving target detection and monitoring. Combining the device characteristics, the strategy first proposes a cascaded deep neural network, which inputs 2D point cloud, color image and pitching angle. The outputs are target distance and speed classification. And the cross-entropy loss function of network is modified by using focal loss and uniform distribution to improve the recognition accuracy. Then a pitching range and speed model are proposed to determine pitching motion parameters. Finally, the adaptive scanning is realized by integral separate speed PID. The experimental results show that the accuracies of the improved network target detection box, distance and speed classification are 90.17%, 96.87% and 96.97%, respectively. The average speed error of the improved PID is 0.4239°/s, and the average strategy execution time is 0.1521 s. The range and speed model can effectively reduce the collection of useless information and the deformation of the target point cloud. Conclusively, the experimental of overall scanning strategy show that it can improve target point cloud integrity and density while ensuring the capture of target.     

Novel aluminum-based fuel: Facile preparation to improve thermal reactions

To improve the thermal properties of aluminum (Al) in the energetic system, a coated structure with ammonium perchlorate (AP) was prepared by a facile approach. And N, N-Dimethylformamide (DMF) was chosen as an ideal solvent based on heterogeneous nucleation theory and molecular dynamics simulation. This coated structure could enlarge the contact area and improve the reaction environment to enhance the thermal properties. The addition of AP could accelerate oxidation temperature of Al with around 17.5 °C. And the heat release of 85@15 composition rises to 26.13 kJ/g and the reaction degree is 97.6% with higher peak pressure (254.6 kPa) and rise rate (1.397 MPa/s). An ideal ratio with 15 wt% AP was probed primarily. The high energy laser-induced shockwave experiment was utilized to simulate the reaction behavior in hot field. And the larger activated mixture of coated powder could release more energy to promote the growth of shockwave with higher speed up to 518.7 ± 55.9 m/s. In conclusion, 85@15 composition is expected to be applied in energetic system as a novel metal fuel.     

瞬态高强加热条件下含湿多孔介质传热传质模型研究

提出了瞬态高强加热下含湿多孔介质传热传质的新模型,模型包括的水分种类齐全、水分迁移机制全面,假设条件相对较少,考虑了非Fourier传热效应和非Fick传质效应。新模型通过具体的分区分析得到简化并更加实用。     

基于仿真技术的动力装置优化设计技术研究

针对传统动力装置设计方法中存在计算复杂、动态性能难以计算等问题,提出利用动力装置仿真系统来设计船舶动力装置的方法。首先,利用模块化建模原理建立了动力装置各组成部件的数学模型,然后利用C 语言编写了各模型的仿真程序,并建立了动力装置仿真系统。利用该仿真系统对某型船舶的全燃动力装置进行了详细设计,设计过程及结果表明,采用仿真系统来设计动力装置可以准确计算动力装置的动态性能,同时对动力装置各部件的性能参数进行优化。     

开流形的曲率与拓扑

应用比较几何的方法研究了完备非紧且具有特定曲率条件的黎曼流形,证明了在一定Pinching条件限制下,流形具有有限拓扑型或者微分同胚于Rn。     

海战场舰艇反潜作战的优化配置研究

针对海战场舰艇反潜作战行动的特点,为增大反潜作战能力进行优化配置。在建立数学模型的基础上,以舰艇搜索突击群有效搜索带宽度为主要因素以及其他诸如概率参数的相关要素对反潜搜索能力进行优化配置,从而获得最大反潜搜索能力和最佳作战行动效果。该方法可以较好地为海战场作战行动的模拟仿真和实际应用提供理论依据和决策参考。     

FBN和JF402在泡沫洗消剂中的展开作用及其对泡沫性能的影响

研究了FBN、JF402 2种碳氟表面活性剂与发泡剂配伍后形成的水溶液在油面上的铺展及泡沫性能（发泡力和稳定性）。结果表明FBN、JF402的加入可提高体系的铺展能力。FBN的铺展性能好于JF402,但JF402泡沫性能好于FBN。     

高机动性能导弹大迎角测量方法研究

简要介绍了嵌入式大气数据传感系统的概念及技术。针对高速高机动性能导弹大迎角高马赫飞行的特点,提出应用嵌入式大气数据传感技术解决导弹大迎角测量问题,并结合导弹自身特点,给出了迎角测量原理和方法,这对于新型导弹的设计具有一定的借鉴意义。     

抗压防护服设计构想及应用展望

针对灭火和抢险救援过程中因建筑坍塌引发消防官兵伤亡的事故频频发生的现况,结合高压气体的受力、传力特点,提出了多级气囊缓冲式抗压防护服的设计构想;探讨了抗压防护服的材料选择和各主要部分的设计,分析了多级气囊缓冲式抗压防护服在实际灭火和抢险救援工作中得到运用的可能性,为灭火和抢险救援过程中消防人员的安全提供一定的保障。     

论环境侵权民事责任的构成要件

随着社会经济的发展,环境污染已成为一个不能回避的社会话题。国家要想在将来寻求长远的发展,必须在现有立法的基础上,进一步完善环境保护的法律机制,从而实现社会的和谐。从环境侵权民事责任构成要件角度出发,阐述了如何保护受害人的合法权益,如何在经济发展的同时从根本上正确处理人与自然环境之间的关系。