一种基于卫星导航的列车初始定位方法研究

在西北环境恶劣地区,线路区间往往较少设置实体应答器,列车在区间重启时需要长距离低速运行.经过实体应答器后才能确定列车位置。针对该问题.本文提出一种基于卫星导航系统和车载电子地图的列车初始定位方法。该方法利用轨道约束算法和概率学方法,设计满足铁路安全标准要求的列车初始定位方法。     

Evaluating the knowledge of experts in the maritime regulatory field

Regulations are introduced by the International Maritime Organization (IMO) into the maritime industry as the result of safety accidents and/or pollution incidents. When there is lack of historical data, then the IMO appoints experts in order to collect information regarding the costs and benefits generated to a stakeholder of the maritime industry once implementing a maritime regulation. Therefore, the role of experts in providing qualitative and quantitative information is crucial with respect to the quality of the maritime regulatory process within the IMO or other regulatory authorities. In this article, a methodology is proposed involving common criteria in determining the expertise of an individual in the maritime regulatory field. As essential part of the research methodology, analytic hierarchy process (AHP) is utilized to determine the expertise of an individual based on his/her own judgements. The regulatory authorities and other stakeholders of the maritime industry may use this method when selecting experts for decision-making. In this article, a simulation is carried showing the potentials of the AHP methodology in expertise evaluation followed by a case study.     

Generating lane-based intersection maps from crowdsourcing big trace data

Lane-based road information plays a critical role in transportation systems, a lane-based intersection map is the most important component in a detailed road map of the transportation infrastructure. Researchers have developed various algorithms to detect the spatial layout of intersections based on sensor data such as high-definition images/videos, laser point cloud data, and GPS traces, which can recognize intersections and road segments; however, most approaches do not automatically generate Lane-based Intersection Maps (LIMs). The objective of our study is to generate LIMs automatically from crowdsourced big trace data using a multi-hierarchy feature extraction strategy. The LIM automatic generation method proposed in this paper consists of the initial recognition of road intersections, intersection layout detection, and lane-based intersection map-generation. The initial recognition process identifies intersection and non-intersection areas using spatial clustering algorithms based on the similarity of angle and distance. The intersection layout is composed of exit and entry points, obtained by combining trajectory integration algorithms and turn rules at road intersections. The LIM generation step is finally derived from the intersection layout detection results and lane-based road information, based on geometric matching algorithms. The effectiveness of our proposed LIM generation method is demonstrated using crowdsourced vehicle traces. Additional comparisons and analysis are also conducted to confirm recognition results. Experiments show that the proposed method saves time and facilitates LIM refinement from crowdsourced traces more efficiently than methods based on other types of sensor data.     

Papahānaumokuākea: Integrating Culture in the Design and Management of one of the World's Largest Marine Protected Areas

Papahānaumokuākea Marine National Monument is one of the world's largest marine protected areas and was designated the first mixed conservation site in the United States due to its natural and cultural importance. It is also the world's first cultural seascape, being recognized for its continuing connections to indigenous people. As the westernmost place in the Hawaiian universe, many believe these islands and seas are the pathway that Native Hawaiians travel after death, returning to pō (night; realm of the gods). This intimate kinship has profound implications for contemporary management. Current management emphasizes integration of science, policy, cultural knowledge, traditions, and practices to create successful management strategies appropriate for both natural and cultural resources. This management is based on Native Hawaiian values and practices that incorporate observation and understanding of the natural world, indigenous principles and philosophies, cultural norms, community relationships, and unique epistemologies deeply imbedded in and formed by relationships of people with place. A cornerstone of this effort has been the direct involvement of cultural practitioners in policy, management, education, and research. This biocultural approach has led to more effective management of the monument and serves as a model for conservation around the world.     

基于粗糙-模糊软计算的船板线加热成形加工参数预报方法

提出一种基于粗糙-模糊软计算的建模方法,构造一种基于贴近方向修正的高精度模糊推理算法,通过有限元分析(FEA)建立板材线加热成形工艺信息系统,根据粗糙集软计算获取线加热成形的工艺规律,运用模糊推理实现加工参数的快速准确预报。粗糙-模糊建模适用于线加热成形过程的静态或动态模型的构建,为实现该工艺的智能建模与控制提供一种新的技术手段。     

导航电子地图的设计与制作

导航电子地图是智能交通和车载导航领域的重要组成部分,其设计和制作方法的好坏会直接影响到后期的可用性。对导航电子地图的设计和制作进行了详细讨论,包括数据流程设计、电子地图系统构成、数据采集与编辑方法、地图符号制作、图形显示与绘图输出等,针对交通要素介绍了电子地图要素的分层和制作方法,并对目前导航电子地图行业存在的一些问题提出了自己的看法。     

地铁工程地质剖面图典型图例符号自动识别研究

地铁工程地质剖面图中包含施工安全风险辨识所需的重要信息,地质剖面图的自动识别是风险识别自动化系统的重要环节。论述了地铁工程地质剖面图图例的分类,图例识别面临的困难与识别可行性。以"黏土"和"粉质黏土"图例识别为例,描述了识别方法和详细算法。以武汉地铁2号线某车站围护结构地层信息识别为例,示范了图例识别的具体应用。     

准周期强迫园映象中两频率准周期吸引子分形测度

用数值计算方法计算了准周期强迫园映象中两频率准周期吸引子的无穷多维数Ｄq、奇性强度α(q)的点集维数f(α)，并给出了相应的图线。     

某雷达信号处理机的设计

信号处理是雷达系统的重要组成部分,其作用是从回波信号中提取有用信号。文章介绍了某搜索雷达信号处理机的结构及功能实现。     

内蒙古地区桥梁养护信息化管理系统研发

随着内蒙古全公路网的逐年完善,相对应需要养护的桥梁也在按照一定的数量增加,使桥梁管养部门的工作日趋繁重,桥梁养护所需资金不断增加。将计算机信息处理技术运用于桥梁管理工以此实现减轻相关部门工作量和达到节约养护资金的目的,项目组开发了桥梁养护管理系统即BMS(Bridge Management System)。本项目研发的桥梁养护管理系统主要功能包括记录高路公司所辖路段桥梁基本信息的信息库,通过桥梁信息系统的WEB端配套的手机APP端实现桥梁的巡查,将巡查信息上传到信息系统,在桥梁信息库的基础上实现桥梁自动预警,桥梁信息系统可以根据桥梁检测情况对桥梁进行技术状况评定,并根据桥梁技术状况信息系统给出合理的养护方案。桥梁养护管理系统建设中采用的主要技术,如全球唯一标识、面向对象的编程、双缓冲、数据更新等技术和数据通信技术,这些技术已经成熟,采用这些技术可以确保建立的桥梁养护系统更加的先进和适用。