Ensemble Stacked Auto-encoder Classification on LIDAR Remote Sensing Images

Light detection and ranging system (LIDAR) can obtain diverse remote sensing datasets which contains different land cover information. The datasets offer vital and significant features for land cover classification. As a new and effective deep learning algorithm, stacked auto-encoders (SAE) consists of multiple auto-encoders in which the code of each auto-encoder is the input of the successive one. The classification precision is closely related to hidden layers, and the number of samples in fine-tuning step also affects classification results. In this paper we study the classifiers based on different number of samples and hidden layers. According to appropriate parameters, we promote SAE with adaptive boosting ensemble strategy to build new classification method. Two tests which are based on LIDAR datasets are implemented. The experiment results prove that the fusion of deep learning and ensemble learning is effective to LIDAR remote sensing images. The proposed method is robust to similar scenes classification. The overall accuracy increases 6% compared with bagging method on test 1.     

Seismic hazard analysis for engineering sites based on the stochastic finite-fault method

Seismic hazard analyses are mainly performed using either deterministic or probabilistic methods. However, there are still some defects in these statistical model-based approaches for regional seismic risk assessment affected by the near-field of large earthquakes. Therefore, we established a deterministic seismic hazard analysis method that can characterize the entire process of ground motion propagation based on stochastic finite-fault simulation, and we chose the site of the Xiluodu dam to demonstrate the method. This method can characterize earthquake source properties more realistically than other methods and consider factors such as the path and site attenuation of seismic waves. It also has high computational efficiency and is convenient for engineering applications. We first analyzed the complexity of seismogenic structures in the Xiluodu dam site area, and then an evaluation system for ground motion parameters that considers various uncertainties is constructed based on a stochastic finite-fault simulation. Finally, we assessed the seismic hazard of the dam site area comprehensively. The proposed method was able to take into account the complexity of the seismogenic structures affecting the dam site and provide multi-level parameter evaluation results corresponding to different risk levels. These results can be used to construct a dam safety assessment system of an earthquake in advance that provides technical support for rapidly and accurately assessing the post-earthquake damage state of a dam, thus determining the influence of an earthquake on dam safety and mitigating the risk of potential secondary disasters.     

黄河口水下三角洲海底冲蚀沟发育的动力机制探讨

根据老黄河口外水下三角洲海底冲蚀沟的地貌特征,用动力学方法分析了其形成发育机制.结果表明,波浪近底流是冲蚀沟形成发育的主导因素.冲蚀沟内的湍流及其次生的横向环流构成了复杂的流场,由此产生的边界切应力对冲蚀沟的侵蚀及沉积物的悬浮、扩散起重要作用.冲蚀沟的断面形态与流场结构密切相关.     

蓄电池自动维护控制器的研制

主要介绍了对蓄电池进行定期维护及容量测定的一种控制器的研设过程。实践表明,该控制器配合充电器,可以实现对蓄电池进行放电、修复、估算容量、自动充电等功能,并可以为判断蓄电池是否达到报废程度提供重要依据。同时,减轻了维护人员的工作量,提高了工作效率。     

河套平原浅层地下水动态监测网优化设计

河套平原的地下水动态监测网存在监测井空间布局不合理的问题,限制了地下水研究工作的进一步深入.采用水文地质分析法和克里金插值法,并结合实际情况对河套平原的浅层地下水监测网络进行了优化设计.地下水动态影响因素分区图的编制主要考虑了地貌、包气带岩性、浅水位埋深、含水层渗透系数、年均降水量、年均蒸发量以及地下水开采模数7个因子.结果表明,优化设计的监测网共有监测井428眼,优化后Kriging插值误差标准差为2.53~10.99 m,比优化前(2.75~27.00 m)显著降低,这说明优化设计的监测网精度有很大提高.此外,优化后的监测网不仅能够对河岸带、断裂带、咸淡水交互带、地下水降落漏斗区等关键地段的水位实施监测,还能够满足不同地区对监测井密度的需求,具有一定的参考和实践价值.     

波浪作用下粘质粉砂底床性态变化的试验研究

利用不同波高条件下的波浪水槽试验,对现行黄河水下三角洲粘质粉砂底床的性态变化进行了研究.试验中观测了底床土体孔隙水压力的变化和扰动破坏区与未扰动破坏区之间在波浪作用下的性态差异.结果分析表明,土体孔隙水压力受波高要素影响较大;扰动破坏区含水量减小和容重增加现象比未扰动破坏区明显.在扰动破坏区经波浪长时间作用后形成凹坑塌陷,此结果对认识黄河三角洲上凹坑塌陷的形成过程有借鉴意义.     

老黄河口水下三角洲前缘底坡不稳定地形的近期演变及控制因素

根据1988～1996年埕北浅海区的海底调查资料,深入探讨了海底不稳定现象的形成及发育机制,分析了老黄河口水下三角洲不稳定地形的近期演变动态,提出海底地形及地貌演变的主要特征。并指出波浪是控制海底地形及微地貌变化的主要外动力因素。     

基于网络药理学探讨浙贝母治疗小儿腺样体肥大的作用机制

目的：运用网络药理学方法探讨浙贝母治疗小儿腺样体肥大的作用机制。方法：应用 TCMSP平台及UniPort数据库检索并筛选浙贝母的活性成分及其对应的靶基因,通过GeneCards数据库获取腺样体肥大的靶点基因,并筛选浙贝母有效活性成分与腺样体肥大的交集靶点,使用Cytoscape 3.9.0软件绘制蛋白质-蛋白质相互作用（PPI）网络图,预测其关键靶点;对交集靶点进行基因本体（GO）功能和京都基因与基因组百科全书（KEGG）通路富集分析。结果：浙贝母治疗腺样体肥大的有效化合物包含天竺葵素、β-谷甾醇、贝母辛碱、浙贝树脂醇、6-甲氧基-2-乙酰基-3-甲基-1,4-萘醌-8-O-β-D-吡喃葡萄糖苷,相关潜在靶点涉及腺苷受体（AR）、过氧化物酶体增生激活受体γ（PPARG）、糖皮质激素受体（NR3C1）等。GO功能富集分析显示预测靶点主要与雌二醇的反应、药物反应、对脂多糖的反应、相同蛋白结合、凋亡过程的正调控等分子功能相关。KEGG通路富集分析显示潜在基因主要集中在凋亡-多物种、肿瘤蛋白p53、白细胞介素-17、肿瘤坏死因子（TNF）、血管内皮生长因子等信号通路。结论：浙贝母可能通过诱导凋亡、减轻炎症反应、调节免疫系统等多靶点、多通路发挥治疗腺样体肥大的作用。     

Effects of salinity on embryonic and larval development of Chinese mitten crab Eriocheir sinensis(Decapoda: Brachyura) and salinity-induced physiological changes

To investigate the effects of salinity on early development of Chinese mitten crab(Eriocheir sinensis),and the salinity tolerance mechanism of embryos,different developmental stages of embryos(gastrula,eyespot and pre-hatching stage),and hatched stage I zoea and megalopa,were exposed to a range of salinities(1,5,10,15(control),20,25,30,35 and 40).Hatching,survival and molting were monitored.Effects of 24-hour hypersaline(35)and hyposaline(1)stress on egg diameter,water content,Na~+/K~+-ATPase(NKA)activity,and crustacean hyperglycemic hormone(CHH)gene mRNA expression in embryos and megalopa,are reported.Embryos are more tolerant of low(≤5)than high(≥25)salinities,with optimum ranges for gastrula and pre-hatching stage embryos being 5-20,and for eyespot embryo and stage I zoea,10-20.Most megalopa can molt to the first juvenile instar by day 5 at salinities between 1 and 40,whereas molting of megalopa stages was delayed at 40.Hypersaline conditions resulted in a loss of moisture,reduction of egg volume,and a significant increase in NKA activity and CHH mRNA expression at some developmental stages.Hyposaline conditions did not affect moisture content or egg volume,but resulted in decreased NKA activity and CHH mRNA expression in embryos.For megalopa stages,NKA activity was significantly upregulated following both hypo-and hypersaline stress.Our results suggest high salinity will inhibit development and hatching of E.sinensis embryos,and low salinity will affect the survival of their stage I zoea.Increased NKA activity in embryos and megalopa stages might indicate a hyporegulation response under hypersaline conditions.These findings provide useful information for spawning ground protection of indigenous E.sinensis and enrich the knowledge of embryonic tolerance mechanisms of hyperregulating crustaceans following osmotic stress.