船用蓄电池保养装置旋盖机构的建模和运动仿真

介绍使用Pro／E与ADAMS建立船用蓄电池保养装置中旋盖机构的虚拟样机方法,建立三维模型样机并进行了运动仿真分析。分析过程中使用参数化设计方法得到适合机构运动要求的零件参数,为旋盖机构和安装平台的整体设计提供了理论依据。     

雷达侦察信号环境描述与建模

信号环境仿真是检验雷达侦察设备性能的重要手段。针对雷达侦察信号环境时域、空域、频域、能域分布特点,对雷达侦察信号环境进行了数学描述,建立了雷达辐射源信号环境数学模型,为雷达侦察信号环境仿真奠定基础。     

形式化可测性约束在软件模型实现过程中的研究

在软件测试中,软件使用模型反映实际运行场景的能力是直接决定测试的成功与否的关键因素之一。一般可以通过对在需求分析阶段已生成的UML建模进行研究得到使用模型,但原始的UML模型,由于缺乏严格的定义及必要的约束,如果要生成高精度的软件模型,必须对其添加必要的形式化可测性约束。这正是文章研究的重点。     

舰船工程风险演变机理和建模分析

为增强舰船工程风险管理的针对性与有效性,研究了舰船工程风险的演变机理,讨论了舰船工程中的各种风险成分及其相互关系.通过定性分析表明,随着舰船工程阶段的推移,不仅总的风险度是逐渐降低的,而且各种风险成分占总风险的比例也是不断变化的.在此基础上又通过建立数学模型的方法给出了舰船工程风险的演变模型与函数关系,并通过举例给出了风险演变和转化的趋势,进一步验证了定性分析的正确性.本文的研究成果为舰船工程风险的管理提供了理论依据.     

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。     

Daily activity and travel sequences of students,faculty and staff at a large Canadian university

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia. Results show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.     

A model for the visualization and analysis of elevator traffic

ABSTRACT

Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or modified according to analyses of traffic flow. However, interpretation of traffic flow based solely on numerical data may not be explicit and transparent for EGCS experts as well as for other non-expert building administration. In this study, we present a model for visualization and analysis of elevator traffic. First, we present an alternative approach for traffic analysis which we call route visualization. In the proposed approach, we initially decompose elevator traffic into its component parts and investigate each component independently. Then, using superposition of components we obtain a reconstructed model of overall traffic. This modeling approach provides component-based traffic analysis and representation of routes with intensities through data visualization. In the second part we introduce a multi-dimensional analysis of time parameters in ECGS. This approach provides a comparative analysis of several control algorithms such as dispatch or park algorithms for different combinations of traffic components.     

A field evaluation case study of the environmental and energy impacts of traffic calming

This study quantifies the energy and environmental impact of a selection of traffic calming measures using a combination of second-by-second floating-car global positioning system data and microscopic energy and emission models. It finds that traffic calming may result in negative impacts on vehicle fuel consumption and emission rates if drivers exert aggressive acceleration levels to speed up to their journeys. Consequently by eliminating sharp acceleration maneuvers significant savings in vehicle fuel consumption and emission rates are achievable through driver education. The study also demonstrates that high emitting vehicles produce CO emissions that are up to 25 times higher than normal vehicle emission levels while low emitting vehicles produce emissions that are 15–35% of normal vehicles. The relative increases in vehicle fuel consumption and emission levels associated with the sample traffic calming measures are consistent and similar for normal, low, and high emitting vehicles.     

马尔柯夫灰色残差模型在剐构桥控制中的应用

文章结合罗天乐特大桥的马尔柯夫灰色残差模型预测实例,介绍马尔柯夫灰色残差模型在线性控制中的原理、计算及应用过程,并根据实际监控经验提出了建议。罗天乐特大桥的具体监控应用实践表明,马尔柯夫灰色残差模型预测精度高,能较好地应用于大跨连续刚构桥的施工线形控制。     

海员胜任力结构及其评价标准初步研究

对129名海员进行了5项6个心理指标的测试。通过专家咨询法确定海员胜任力检测指标体系的权重系数，构建了海员胜任力特征结构模型与综合评价模型。提出了40岁以下和以上年龄海员的胜任力评价标准。