公路沥青混凝土路面的病害特征与养护管理方式浅议

本文通过对于沥青混凝土路面病害的分析研究,提出了有效的养护方法来进行病害预防,从而使沥青混凝土路面的质量达到使用要求。     

Dynamic Behavior of Two Part Towing Cable System During Turning

An improved numerical method is used to simulate the dynamic behavior of a two part towing cable systems during turnings. In U turns and full turns, periodical heave motions are found both for the towed vehicle and for the depressor. Periodic motions of the subsea units and of the cable surface tension are closely related to the turning parameters, such as turning velocity and turning radius. System parameters, such as length of the second cable and the vehicle hydrodynamics, also damp turning instability.     

浅谈公路路基路面病害治理措施

本文详细阐述了一般公路工程路基路面病害及产生病害原因,并针对路面常见病害,根据施工现场所处地质环境,结合已有经验,提出针对性解决方案。对突发性病害、预测难度大等病害,提前做出预防并提出最佳治理方案,降低病害对公路工程的破坏。     

反应条件对产物晶型和形貌的影响以二氧化锰为例

本文采用水热法制备了一系列的二氧化锰粉末状晶体。探索了反应温度、氧化剂浓度、压力等因素对二氧化锰晶型、结晶度与形貌的影响及其内在联系。结果表明反应温度、氧化剂浓度、压力对二氧化锰晶型均有影响,氧化剂浓度对其晶型影响尤为明显。温度对形貌影响较为明显。在晶型相同情况下,二氧化锰结晶度正相关于其形貌规整度。     

500米长轨营业线火车市场运费与概预算编制办法计算运费对比分析

随着《铁路基本建设项目投资管理办法》(铁总计统〔2017〕179号)及《关于铁路建设项目清理概算工作的通知》(发改投资电〔2019〕1号)文的出台,标志着铁路建设项目概算清理工作,将逐步交由建设单位按照不突破初步设计批复金额进行处理,因此初步设计阶段如何确保招标预算金额的准确性,体现的越来越为重要,本文通过对500米长轨营业线火车市场运费与编制办法计算运费的分析,量化两者费用存在的差异,列明差异原因,并提出相关建议。     

GSM-R中跨SGSN更新时源SGSN域名解析数据的智能生成方案设计

源SGSN域名解析数据是GSM-R网络编号方案数据中重要的需跨局制作的一类数据。由RAI编码构造生成,在跨SGSN路由区更新时,存储于DNS中,以解析源SGSN的IP地址。全路400多条G网线路,错综复杂的基站引用关系,导致数据复杂多样。针对该情况,利用聚类分析和关联规则分析算法,研究源SGSN解析数据的智能生成方案,提高数据的全面性、准确性,从而有效保障GSM-R分组域应用业务的正常运转。     

船用电器柜抗冲击设计研究

为增强船内部电器柜的抗冲击性能,采用有限元法对船内不同安装型式的电器柜结构进行了模态和抗冲击性能仿真分析,通过对比分析得出了使用撑杆加固型式安装的电器柜能显著提高船内电器柜的抗冲击性能的结论,并确定了电器柜抗冲击优化设计方案。     

浙江与韩国铁路的比较研究

浙江与韩国在土地面积、 人口数量、 资源禀赋以及区位条件等多个方面都十分相似， 两者具有很强的可比性。 同时， 两者在经济发展水平以及铁路发展水平等方面也表现出了一定的差距。 文章以铁路运输为切入点， 分别回顾和总结了浙江和韩国两地的铁路发展历程和铁路运输现状。 在充分比较和分析两地铁路发展水平的基础上， 提出了韩国铁路发展对浙江的几点启示： 首先， 浙江应进一步扩大铁路网规模和密度； 其次， 浙江铁路将继续发挥对经济发展的拉动作用， 但随着时间推移拉动效应逐渐减弱； 最后， 浙江应积极探索和制定更为灵活多样的票制票价， 以吸引更多群体类型的旅客选择铁路出行。     

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.     

Automatic outer surface extraction of femoral head in CT images

Computer-aided hip surgery planning and implant design applications require accurate segmentation of femoral head and proximal acetabulum. An accurate outer surface extraction of femoral head using marching cubes algorithm remains challenging due to deformed shapes and extremely narrow inter-bone regions. In this paper, we present an automatic and fast approach for segmentation of femoral head and proximal acetabulum which leads to accurate and compact representation of femoral head using marching cubes algorithm. At first, valley-emphasized images are constructed from original images so that valleys stand out in high relief. Otsu’s multiple thresholding technique is applied to seperate the images into bone and non-bone classes. Region growing method and threedimensional (3D) morphological operations are performed to fill holes in the bone. In the reclassification process, the bone regions are further segmented, and the boundaries of the bone regions are further refined based on Bayes decision rule. Finally, marching cubes algorithm is applied to reconstruct a 3D model and extract the outer surface of femoral head and proximal acetabulum. Experimental results show that this method is an accurate segmentation technique for femoral head and proximal acetabulum and it can be applied as a tool in medical practice.