工程机械综合传动装置磨损量预测分析

通过介绍工程机械综合传动装置的磨损类型,研究了灰色神经网络模型与检验方法的拟合精度,并分析主要磨损部件磨损量预测的过程。通过对工程机械综合传动装置道路试验数据的分析预测,得到较精确的预测结果,证实了灰色神经网络模型用于综合传动装置磨损元素浓度预测的可行性。     

常规公交票价综合评价方法分析

常规公交票价的评价对于指导城市公交票价制定、改善影响公交票价的因素具有重要意义。首先,对影响常规公交票价制定因素进行系统分析,在充分考虑居民、公交企业、政府3方面利益的基础上,构建常规公交票价评价指标体系。然后采用灰色关联度分析法对常规公交票价方案进行评价,评价过程中引入三角模糊数对定性指标进行模糊化处理。最后,通过算例对评价指标和算法进行验证。结果表明,文章所构建的公交票价方案评价指标体系是可取的,采用灰色关联度分析法对城市常规公交票价方案进行评价可行。     

基于思维短暂性缺失诱发交通事故分析

基于交通事故诱发趋势的链式原理,建立以人体思维短暂性缺失为主体的系统模型并进行理论分析。思维短暂性缺失属于哲学、心理学、行为学和社会学等综合范畴,建立适当的系统模型,从理论上对于思维短暂性缺失诱发交通事故进行分析。通过灾害链式理论的指导并从能量学角度的进一步升华,从环境、车辆、疲劳、违章通行等因素对交通事故诱发的链式过程进行分析,探寻交通事故的诱发过程及预防措施。     

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为定量衡量天津港构建的内陆港群与区域经济的关系,在分析二者协调发展机理的基础上,选取相应指标,构建基于DEA的评价模型.内陆港和城市经济发展有效性的评价结果显示,北京的内陆港与城市的发展均有效,包头、石家庄、德州属于城市经济有效、内陆港发展无效,惠农内陆港有效、城市经济无效,侯马的内陆港与城市经济的发展均无效,表明天津港的内陆港发展程度不同,腹地经济发展十分不平衡.对二者关系有效性的评价结果则表明,内陆港群与城市经济没有实现良好的双向有效协调发展,其中惠农和侯马两个城市与其内陆港的发展极其不平衡.     

南海神庙具有怀柔远人的功能

怀柔远人是中华传统文化的重要内涵．睦邻友好、互利互惠、合作共赢,正是中华文化的这种博大胸怀,吸引了众多外国人到中国旅游、经商、传教、定居．南海神庙作为中国最早的通商口岸和海上丝绸之路的重要起点,自古至今都是怀柔远人的重要载体和有力见证,也是广州对外经济文化交流的主要纽带和重要平台．     

67000DWT新型节能环保散货船的研发

浙江正和造船有限公司从2011年开始,在联合日本大鳢船舶设计事务所株式会社共同设计的67000DWT散货船基础上,精心研发和设计67000DWT新型节能环保散货船。本文就该船研发背景、技术及经济性等方面进行了分析,供同行参考。     

民营企业转型升级对策研究——以南通市为例

文章结合南通民营企业的发展现状,从政府作用、产业集群、创新能力、产业结构、产品附加值等方面探讨了民营经济发展中的存在问题,并提出了相应的对策。     

创建校企合作模式下数字化资源服务体系——基于网络参考咨询模式下的信息服务与实践

文中针对当前高职院校校企合作服务社会科技攻关的现状和问题,提出创建和完善合作模式下的高职院校图书馆数字化信息资源服务体系,切实支撑校企合作服务社会的智力资源保障,通过创新基于网络的数字化参考咨询服务模式,实现校企深度合作。     

Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance

The third part of the state-of-the-art focuses on the future of road safety modeling and on conjectures concerning the evolution of national safety indicators. In the absence of econometric developments specific to road safety modeling, the research future must rely on pre-existing statistical procedures of econometrics applied to discrete/count and to aggregate data. In terms of contents, growing interest in the heterogeneity of road accident outcomes by category of victims could lead to treatments of this issue across research streams, say by top-down and bottom-up developments, but this speculation does not rest on extant adequate formulations of the issue of road user class and victim analysis. But understanding the time profile of aggregate national performance indicators is quite another matter.     

Navigating Institutional Constraints in the Process of Computational Environmental Modeling

Abstract

The use of computational models has proliferated in the last few decades due to the practical benefits that they offer in terms of understanding complex systems. However, the process of developing a computational model is not only shaped by scientific and practical concerns. Modelers must also navigate the institutional structures in which the models are constructed and implemented. In the process, they must often draw upon existing or create new social relationships that can, themselves, alter the institutional structures they are attempting to navigate. In this article, I use an ethnographic approach to examine three examples in which the process of building and implementing a computational model was constrained by institutional factors and the strategies the modelers used to navigate them. The research was conducted with computational modelers at the Chesapeake Bay Program who are involved in constructing the Chesapeake Bay modeling system for nutrient management in the watershed. Modelers in this context had to: build relationships with the broader scientific community to reinforce the “believability” of the model, draw upon institutional relationships in order to work around limitations on data-sharing between organizations, and manage differing incentive structures to motivate and coordinate the research needed to complete the model