无源多星定位误差分布特性分析

北斗导航系统正处在由有源双星定位向无源多星定位过渡的关键阶段,通过研究北斗双星和多星定位误差模型,对无源多星定位的误差分布特性进行了分析,从误差分布特性角度研究了无源多星的定位性能,为不同地区用户分析定位精度提供依据。     

多途信道短慕线时间反转聚焦研究(英文)

The existence of a multi-path channel under the water greatly decreases the accuracy of the short baseline positioning system.In this paper,the application of a time reversal mirror to the short baseline positioning system was investigated.The time reversal mirror technique allowed the acoustic signal to better focus in an unknown environment,which effectively reduced the expansion of multi-path acoustic signals as well as improved the signal focusing.The signal-to-noise ratio(SNR) of the time reversal operator greatly increased and could be obtained by ensonifying the water.The technique was less affected by the environment and therefore more applicable to a complex shallow water environment.Numerical simulations and pool experiments were used to demonstrate the efficiency of this technique.     

斗轮堆取料机回转机构定位方式浅析

斗轮堆取料机回转减速机连接螺栓经常松动、断裂,设备运行存在安全隐患。分析了堆取料机回转机构定位方式、定位结构,查找了减速机连接螺栓松动原因。制定可行性解决方案,便于设备进行合理化改造,保障设备安全可靠运行。     

盖挖法超深孔中间支撑柱施工新技术

为了解决盖挖法超深孔中间型钢支撑柱精确定位的难题,通过设计制作专用定位台架,采用短臂校正长臂、激光辅助导向、先插法等施工措施,创新了一种解决十字型钢柱定位的新技术,降低工程成本和风险,同时采取重型型钢支撑柱整体工厂化加工、双导管灌注混凝土等技术措施,达到了施工快速、质量可控、安全、经济效益显著的效果。     

动态模糊神经网络在船舶动力定位中的应用

在前向模糊神经网络的归一化层和输出层之间加入递归层,形成的一种新型动态模糊神经网络(DFNN)具有动态映射能力,从而对动态系统有更好的响应.文章还推导了基于BP的反传学习算法.运用DFNN对船舶动力定位控制进行的仿真实验结果证明了该方法的有效性.     

毛里求斯路易港集装箱业务发展定位

随着世界集装箱三大航线的成熟及远洋航运技术的革新,曾为欧亚绕好望角航线必经补给点的路易港在国际集装箱运输新格局中面临着机遇与挑战。研究当前形势下路易港的集装箱业务发展定位,通过统筹分析内外部形势变化对路易港集装箱业务带来的影响,判断路易港的集装箱业务竞争力以及远期国际集装箱枢纽港的建设可能。分析得出,路易港具有发展为区域性交织式中转枢纽港的条件,但其目前的发展瓶颈主要集中在外海作业条件的限制及国内公司对集装箱码头的垄断经营等方面。针对这些问题,给出后续开发建议。本研究对于准确把握非洲集装箱航运市场前景及拓展新地域的港口工程具有参考价值。     

游艇码头定位桩桩长的确定方法

针对温州瓯江港区浮式游艇码头在接近35 m淤泥质土的地质条件下全直定位桩桩长确定和地基承载能力的问题,采用数值模拟方法,在波浪力和水流力作用下,对不同定位桩长的码头结构进行三维全尺度数值模拟分析和地基承载力校验,得到不同定位桩长的剪力和弯矩的内力分布特征、桩顶最大位移、桩身最大应力随不同桩长变化趋势。再根据定位桩自重和桩侧土极限侧摩阻力标准值确定桩底应力,与地基承载能力进行对比分析。研究表明,对于类似工程,可采用以地基承载力和桩顶位移为主、以桩身应力控制为辅助的控制方法来确定桩长。     

Classifying the purpose of stopped truck events: An application of entropy to GPS data

This paper applies the concept of entropy to mine large volumes of global positioning system (GPS) data in order to determine the purpose of stopped truck events. Typical GPS data does not provide detailed activity information for a given stop or vehicle movement. We categorize stop events into two types: (1) primary stops where goods are transferred and (2) secondary stops where vehicle and driver needs are met, such as rest stations. The proposed entropy technique measures the diversity of truck carriers with trucks that dwell for 15 min or longer at a given location. Larger entropy arises from a greater variety of carriers and an even distribution of stop events among these carriers. An analysis confirms our initial hypothesis that the stop locations used for secondary purposes such as fuel refills and rest breaks tend to have higher entropy, reflecting the diversity of trucks and carriers that use these facilities. Conversely, primary shipping depots and other locations where goods are transferred tend to have lower entropy due to the lower variety of carriers that utilize such locations.     

The carbon footprint of business travel in the knowledge-intensive service sector

We explore the travel needs and patterns, and the corresponding carbon footprint, of small service organizations during different phases of knowledge-intensive business processes, and compare the results with the priorities given to travel-related goals by staff. We apply a combination of focus group data, mobile positioning, and individual follow-up interviews as study methods. The need for physical travel is determined by a combination of the perceived potential for knowledge creation and transfer offered by each trip, the strength of interpersonal relationships in business networks, and the significance of the travel goal in terms of economic sustainability. The priorities given to travel goals reflect the environmental load of business travel only in domestic contexts, where executing core business processes accounted for the highest carbon footprint. We propose the ways in which the management of business interactions could take into account sociotechnical environment and social recognition of low-carbon communication and travel modes.     

精细积分法在结构碰撞中的应用研究

地震会引起相邻结构发生碰撞,导致结构损伤甚至倒塌。为更准确研究结构的碰撞问题及影响,文中将精细积分算法用于结构碰撞的求解中,并进行了公式推导和算例验证。结果表明,精细积分法对于结构的碰撞问题是适用的,并有无条件稳定、精度高和受时间步长限制小的优点。