建设“数字物流港”提升港城互动发展空间

近年来，在各港口城市公共物流信息平台建设中，出现了各种富于个性的创新模式。其中，有的是政府主动规划设立；有的是有关企业单位横向联合；有的是以一家企事业单位的信息系统为主，然后各方向之靠拢集中，并由政府加以认可。本拟通过对大连市政府与大连港集团公司     

临洪河特大桥上承式移动模架现浇箱梁施工

介绍上承式移动模架的构造、施工特点及工作原理,提出了模架施工中几个关键环节的施工措施,针对上乘式移动模架施工特点提出了混凝土浇筑、预应力张拉、线性控制方面应注意的一些问题,保证了模架施工质量.     

宝马主动转向技术概述

回顾了车辆转向系统的发展历程。指出,相比于线控转向,主动转向技术是今后发展的主要趋势。详细介绍了主动转向系统的结构和组成,以及核心部件双行星齿轮机构的工作原理及工作模式。叙述了该系统变传动比、稳定车辆等功能的实现原理,并指出通过与其他动力学控制系统一起实现底盘一体化集成控制将是主动转向技术未来的发展方向。     

基于流固耦合的汽车双筒式减振器动态特性研究

对双筒阀片充气式液压减振器内部结构进行建模,建立了减振器复原行程阻尼力数学模型,明确了活塞杆直径、复原阀片外半径以及气室充入气体的压强为影响阻尼力的3个关键参数,理论分析了结构参数对复原行程阻尼力的影响。利用动网格技术对减振器复原行程的内部流场进行了三维数值模拟,得到了流固耦合下阀片的运动状态、流场的压力云图和速度矢量图等,详细分析了各结构参数对复原阻尼力的影响,验证了减振器工作状态中的油液流动情况及所提出方法的可操作性。     

基于GIS的公交站台信息查询系统的开发

为乘客的公交出行提供基本的公交信息及最优乘车方案的查询,开发了基于GIS的公交站台触摸屏查询系统。系统数据库以ACCESS进行描述,以ADO．NET与数据库进行连接访问,以Maplnfo地理信息系统平台为基础,利用VB．NET语言编程完成了基于GIS的站台触摸屏公交查询系统的开发。经过实验测试及实际运用,该系统能够在换乘次数最少的前提下,给出四种可供选择的优化目标,分别为出行时间最少、出行费用最少、出行距离最短以及舒适度最佳。用户根据自己的情况选择优化目标,系统将给出相应的乘车方案。     

~(99m)Tc-HL91心肌乏氧组织显像的初步实验研究

目的　验证乏氧组织显像剂99mTc HL91能选择性浓集于缺血的心肌中 ,为临床显像提供依据。方法　制备兔心肌缺血模型 ,观察99mTc HL91在缺血心肌中的分布情况。按常规方法观察99mTc HL91在正常兔体内的分布情况。结果　电生理改变及NBT染色均证实兔左心室LCX区心肌缺血。左心室切片显像见LCX区心肌较LAD区放射性明显增浓。LCX/LAD组织放射性比 :12 0min ,2 .5 7;180min ,3.4 5。99mTc HL91主要分布在肝脏和肾脏 ,其次为胃肠道 ,排泄以泌尿系、肠道为主 ,正常心肌及肺脏中分布少 ,且清除较快。血液清除快。结论　缺血心肌组织较正常组织滞留99mTc HL91明显增高 ,180min时较显著。提示99mTc HL91可用于心肌乏氧显像     

Adaptive robust sliding mode control for ship straight-line tracking in random waves

Since complex controllers do not suit for application,we design a simple controller with robustness in changeable sea state.The characteristics of ship motion are large inertia,strong nonlinearity and large time delay.This paper employs adaptive sliding mode technique.We focus on a class of underactuated ship systems with parametric uncertainties and wave efects.Random wave efects are seldom considered in former studies.Various simulations validate the adaptive characteristics and robustness of the proposed controller.The closed-loop system is stable and tracking error can be arbitrarily small by Lyapunov approach.     

Branch-Activated Multi-Domain Convolutional Neural Network for Visual Tracking

Convolutional neural networks (CNNs) have been applied in state-of-the-art visual tracking tasks to represent the target. However, most existing algorithms treat visual tracking as an object-specific task. Therefore, the model needs to be retrained for different test video sequences. We propose a branch-activated multi-domain convolutional neural network (BAMDCNN). In contrast to most existing trackers based on CNNs which require frequent online training, BAMDCNN only needs offline training and online fine-tuning. Specifically, BAMDCNN exploits category-specific features that are more robust against variations. To allow for learning category-specific information, we introduce a group algorithm and a branch activation method. Experimental results on challenging benchmark show that the proposed algorithm outperforms other state-of-the-art methods. What’s more, compared with CNN based trackers, BAMDCNN increases tracking speed.     

灯盏花对上颌前牵引中骨缝成骨的影响

目的观察灯盏花在上颌前牵引动物模型中对骨缝成骨的影响。方法16只兔随机分为实验组、对照组,每组各8只,两组动物均安置特制外置式牵引支架,向前持续弹性牵引。对照组于双侧前颌缝局部注射生理盐水,实验组则于局部注射灯盏花,每侧0.4 mL,每24 h注射1次。用序列四环素荧光标记法标记骨缝新形成的骨组织,荧光显微镜下观察,用计算机图像分析系统测量新骨量。结果实验组新骨形成的量明显大于对照组(P<0.05)。结论灯盏花在上颌前牵引动物模型中可加快骨缝新骨的形成。     

Adaptive path following controller of underactuated ships using serret-frenet frame

This paper presents an adaptive path following control law to steer underactuated ships along a predefined path at a constant forward speed with uncertain parameters due to changes of added mass matrices. The proposed controller is based on analytic model predictive control and model reference adaptive control. The Serret-Frenet frame is used to describe the ship dynamics. The analytic model predictive control provides a systematic method rather than try-and-error method to get appropriate control parameters to guarantee the stability of the closed-loop system, and the well-defined relative degree is guaranteed by introducing output-redefinition. An identification algorithm based on model reference adaptive control is used to identify the uncertain parameters. Numerical simulations are provided to demonstrate the validity of the proposed control law.