基于桌面虚拟现实系统车辆运动仿真的立体视觉实现

设计了一套桌面虚拟现实系统，在该系统下实现了立体视觉，并给出了车辆运动仿真的一个实例。虚拟现实技术为车辆运动仿真提供了一种新的方法。     

汽车中控锁执行器性能检测试验研究

对汽车中控锁电动执行器性能检测进行了深入研究。通过力学分析与试验，对交变试验力的特点及产生原因进行了分析，得出盘簧机构相对电动执行器是交变负载，从而提出了以中控锁自身作为检测负载的方案。为解决在恒温箱内测量主动驱动力的困难，采用了间接测量工作电流的方法；此外还进行了耐久性试验和驱动时间的测量。全套检测装置已成功应用于生产中。     

小缸径柴油机喷油系统优化匹配降低排放研究

以480型柴油机为样机，通过试验和模拟计算系统分析了喷油系统参数对小缸径直喷式柴油机排放的影响，提出了喷油系统与整机的优化匹配改进方案。对比试验表明，在柴油机动力性、经济性基本不变的基础上,改进后的排放低于国家现行排放法规限值。能满足欧-1排放法规。     

四轮驱动汽车牵引力模糊控制方法仿真研究

建立了四轮驱动汽车加速过程的数学模型,采用模糊控制方法,建立了以滑转率为控制对象的汽车牵引力控制系统TCS(Traction Control System),用Matlab的模糊工具箱进行了模糊控制器的设计,并在Simulink仿真环境下进行了动态仿真,结果表明:基于模糊控制的TCS可将驱动轮滑转率控制在最佳值附近,有效地改善车辆的牵引性和动力性,抑制驱动轮过度滑转。     

烟草成分对其品质影响程度的粗糙集判别方法

运用粗糙集理论研究了烟草主要化学成分 (总糖、还原糖、总氮、烟碱、氧化钾和氯离子 )对烟草品质影响程度的判别方法。对比已有的研究结果 ,表明基于粗糙集理论的计算方法简单 ,结果明了 ,而且还能量化烟草成分对品质的影响程度。     

Effect of Chilling Stress on Synthesis of Antioxidant Enzymes,Osmotic Adjustment Substances and Membrane Lipid Peroxide Levels in Two White Clover Cultivars

Although white clover has been widely studied and applied, less is known about its physiological responses to chilling stress in northern China. The effects of acclimation time of chilling stress in the two white clover cultivars, Rivendel and Haifa, after exposure to 4℃ for 0, 4, 8, 12, 24 and 48 h were investigated. Seven physiological indexes were measured in shoots of the two cultivars. It was found that Rivendel had a strong ability to maintain the stability of cells, cope with oxidative damage and accumulate osmotic adjustment substances compared with Haifa. In addition, a comprehensive evaluation on the chilling tolerance of the two cultivars based on subordinate function value analysis showed a stronger chilling tolerance of Rivendel than Haifa.     

版纳省藤家系苗期生长特性的初探

文章对收集的版纳省藤家系进行苗期生长变异的观察,结果发现:家系间根长和芽长及叶片数和最大叶长都存在极显著的差异;叶片数和最大叶生长与气温关系显著,叶片数和最大叶生长趋势相似,移苗后的2、3个月生长最快,12月至次年的2月生长缓慢;主成分分析选出6个优良家系,其中4个分布在勐腊尚勇地区。     

Stimulating the Hematopoietic Effect of Simulated Digestive Product of Fucoidan from Sargassum fusiforme on Cyclophosphamide-Induced Hematopoietic Damage in Mice and Its Protective Mechanisms Based on Serum Lipidomics

Hematopoietic damage is a serious side effect of cytotoxic drugs, and agents promoting hematopoiesis are quite important for decreasing the death rate in cancer patients. In our previous work, we prepared the simulated digestive product of fucoidan from Sargassum fusiforme, DSFF, and found that DSFF could activate macrophages. However, more investigations are needed to further evaluate whether DSFF could promote hematopoiesis in the chemotherapy process. In this study, the protective effect of DSFF (1.8–7.2 mg/kg, i.p.) on cyclophosphamide-induced hematopoietic damage in mice and the underlying mechanisms were investigated. Our results show that DSFF could restore the numbers of white blood cells, neutrophils, and platelets in the peripheral blood, and could also retard bone marrow cell decrease in mice with cyclophosphamide-induced hematopoietic damage. UPLC/Q-Extraction Orbitrap/MS/MS-based lipidomics results reveal 16 potential lipid biomarkers in a serum that responded to hematopoietic damage in mice. Among them, PC (20:1/14:0) and SM (18:0/22:0) were the key lipid molecules through which DSFF exerted protective actions. In a validation experiment, DSFF (6.25–100 μg/mL) could also promote K562 cell proliferation and differentiation in vitro. The current findings indicated that DSFF could affect the blood cells and bone marrow cells in vivo and thus showed good potential and application value in alleviating the hematopoietic damage caused by cyclophosphamide.     

人口发展与城市化水平预测——以乌兰察布市为例

科学预测人口城市化水平,对相关政策的制定、制度的改革、城市配套设施的建设以及解决就业问题都具有重要意义。本文以乌兰察布市为例,对地区总人口进行预测的基础之上,运用劳动力结构模型、劳动力地域转移模型等多种数学模型,预测了城镇人口城市化水平和非农业人口的城市化水平。最后,选取与城市化相关的七项指标,对城市化水平进行了综合预测。     

基于无人机影像自动检测冠层果的油茶快速估产方法

快速准确的产量估算对油茶经营管理和可持续发展具有重要意义。该研究针对油茶快速估产的应用现状,提出一种基于无人机影像自动检测冠层果的方法用于油茶快速估产。首先借助无人机航拍影像,通过随机抽样选取120株油茶树进行无人机近景摄影和人工采摘称量;然后利用Mask RCNN(Mask Region Convolutional Neural Networks)网络开展基于近景影像的油茶冠层果自动检测与计数;采用线性回归和K最邻近建立冠层果数与单株果数之间的关系,同时结合研究区典型样木株数和平均单果质量,构建基于冠层果自动检测的估产模型。结果表明:1)无人机超低空近景影像结合Mask RCNN网络能够有效检测不同光照条件油茶果,平均F1值达89.91%;2)同传统卫星遥感相比,基于无人机近景摄影的冠层果自动检测在作物产量估测方面显示出明显优势,Mask RCNN网络预测的冠层果数与油茶样木单株果数之间具有良好的一致性,拟合决定系数R2达0.871;3)结合线性回归和K最邻近构建的模型估产精度均较高,拟合决定系数R~2和标准均方根误差NRMSE(Normalized Root Mean Square Error)分别在0.892～0.913和28.01%～31.00%之间,表明基于无人机影像自动检测冠层果的油茶快速估产是一种切实可行的方法。研究结果可为油茶快速估产和智能监测提供参考。