一类非线性四阶偏微分方程的精确解研究

研究了一类非线性四阶偏微分方程的精确解.首先将四阶偏微分方程约化成为常微分方程,进而对相应的常微分方程问题求解,而后通过参数取值的改变得到相关的精确解.最后根据不同情形下所得的精确解,利用Matlab软件绘图给出精确解的波形图分析.     

单片机在无线通讯中的应用

采用可工作于433 MHz频段的无线射频收发模块n RF9E5,通过内嵌8051单片机C语言编程,实现多通道、短距离的数据传输。并在近距离范围内验证了所设计的无线通讯模式的可靠性和准确性。     

冻融循环下纤维水泥改良风积沙NMR试验研究

新疆和若铁路沿线属于季冻区,路基基床表层采用玄武岩纤维加筋水泥改良风积沙填筑时,运营期间会长期受冻融循环的影响.为了研究冻融循环作用对玄武岩纤维加筋水泥改良风积沙微观结构的影响,对其进行0,4,7,10,14和18次冻融循环条件下的核磁共振试验,单次冻融循环的冻结和融化时间均为12 h,冻结温度和融化温度分别为?20℃和20℃.研究结果表明:T2时间分布于0.1～10000 ms之间,随着冻融循环次数增加,纤维水泥改良风积沙的T2谱向右移动,达到14次冻融循环后,T2谱的变化不明显;纤维水泥改良风积沙的小孔和中孔的比例随冻融循环次数的增加而降低,而大孔的比例逐渐提高,14次冻融循环后,孔径分布趋于稳定;纤维水泥改良风积沙的孔隙率和最可几孔径随冻融循环次数呈双曲线增长.本文成果解释了冻融循环作用对纤维水泥改良风积沙力学性能影响的微观机理,对沙漠季冻区铁路路基基床的设计与施工具有参考价值.     

反坡对边坡稳定性分析的影响探讨

在对边坡进行条分法稳定性分析时,一般情况下滑动面形状是复杂的.根据底滑面倾斜方向的不同,在条分后会出现顺坡条块和反坡条块.依据二者对边坡稳定性的作用效果不同,顺坡条块和反坡条块也可称为致滑条块及阻滑条块.虽然人们承认反坡条块的阻滑作用,但传统条分法在求解过程中并未对这2类条块进行区分,求解公式中反坡条块重力分力仍作为分母下滑力项计算.若对2类条块有所区分,将反坡条块重力分项作为分子中阻滑力项计算,显然会有不同的计算结果.对于2种计算方式的差异程度及其对计算结果的影响,进而对边坡稳定性评估的影响,至今缺乏理论上的分析.本文通过对传统条分法安全系数求解公式中2类条块进行区分,分析将反坡条块重力作为阻滑力的计算结果与传统公式的计算结果的差异,并通过推导获得2种计算方式之间的规律和特点,探讨2种计算方式对滑动面含反坡的边坡稳定性分析的适用性.研究结果可为传统条分法忽视正、反坡差异的计算方式提供有益的补充.     

共享自动驾驶汽车经营策略优化分析

研究共享自动驾驶汽车(SAV)与普通汽车共存背景下，SAV公司如何根据运营目标优化经营策略并影响通勤者出行方式选择. 假设高速公路上存在一定数量的独驾通勤者，无车通勤者在SAV和地铁之间进行权衡. 分析固定需求和弹性需求下，SAV公司追求系统总成本最小或系统净收益最大和利润最大时的最优经营策略，即SAV票价和容量，进而得到均衡时模式划分情况，SAV最优发车数，系统总成本或系统净收益，以及公司利润等指标. 算例对均衡结果进一步验证发现，SAV公司垄断经营会收取较高的票价，提供容量较小的车型. 在系统最优情形下，SAV公司无法获得正利润，需要政府补贴运营.     

基于群决策层次理论的预防性养护方案决策

基于高速公路预防性养护决策方案选择的特性,使用群决策理论的层次分析法,通过对决策组成员意见的集合,得到了各成员动态权重,减少主观误差,提高决策方案结果的客观可靠性。通过案例,将措施费用、行车特征、技术因素、施工因素等作为目标层,对4种备选方案进行分析,得出最佳措施。案例结果证明群决策方法的有效性与可靠性,为选择合理的养护措施提供参考。     

CT reconstruction with priori MRI images through multi-group datasets expansion

Computed tomography (CT) reconstruction with a well-registered priori magnetic resonance imaging (MRI) image can improve reconstruction results with low-dose CT, because well-registered CT and MRI images have similar structures. However, in clinical settings, the CT image of patients does not always match the priori MRI image because of breathing and movement of patients during CT scanning. To improve the image quality in this case, multi-group datasets expansion is proposed in this paper. In our method, multi-group CT-MRI datasets are formed by expanding CT-MRI datasets. These expanded datasets can also be used by most existing CT-MRI algorithms and improve the reconstructed image quality when the CT image of a patient is not registered with the priori MRI image. In the experiments, we evaluate the performance of the algorithm by using multi-group CT-MRI datasets in several unregistered situations. Experiments show that when the CT and priori MRI images are not registered, the reconstruction results of using multi-group dataset expansion are better than those obtained without using the expansion.     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.     

港口供电系统改进

目前港口供电系统存在体积大、结构设置不合理和不适应环境等问题,经研究提出了减小体积、优化系统配置、提高箱变安全性和环境适应性等相应对策,在研究的基础上设计了一种新型箱式变电站,解决了目前港口供电系统存在的不足.