基于BP神经网络的企业绿色竞争力评价研究

本文在阐明企业绿色竞争力内涵及特征的基础上,构建企业绿色竞争力评价指标体系,给出了基于BP神经网络的企业绿色竞争力评价模型,以期为企业构建绿色竞争力,实现可持续发展提供支持和参考。     

别让IT运维成为中小企业迈向国际化的“包袱”

随着中国改革开放的不断深入,中国加入WTO,国内中小企业如雨后春笋般的发展起来,甚至已经将公司开到了国外,为新中国的经济腾飞做出了不可磨灭的贡献,期间IT系统在规范管理、提升工作效率方面起到了应用的作用。但随着企业规模的不断扩大,分公司越来越多,地域间隔越来越远,IT系统运维正变得空前困难。鉴于此,本文将着重介绍如何利用新技术降低IT运维成本,提升运维效率。     

电子笔记在项目化教学中的初步应用

电子笔记是本学期在实践教学使用的一种新教学方式,尤其在计算机专业实践性较强的网络数据库课程中,起到了良好的效果。电子笔记教学方法功能强大,但也有使用的局限性。     

大学生网络道德教育研究

本文详细探究互联网对大学生各方面的影响及产生影响的原因和过程,并结合实际工作提出应对各种负面影响的措施,这将为进一步加强大学校园络管理及利用网络开展思想政治工作提供决策依据。     

网络环境对图书馆工作的影响

网络环境的形成给图书馆的馆藏结构、业务工作、文献信息服务等方面带来巨大影响,并对图书馆工作起到重大推动作用。     

当代大学生信息素质教育

信息素质教育是大学生素质教育的重要组成部分.高校图书馆应开设有关课程,开展一系列教育活动,加强大学生信息能力的培养,大力发展信息专业教育.     

团队跨边界活动对团队有效性的影响作用研究

通过文献综述,得出了团队跨边界活动对团队有效性有着倒U型的影响作用这一结论。同时,在团队学习理论和社会网络理论的基础上,对上述作用的内部机制进行研究探索,并从团队和个体两个层面分析相关的影响因素。最后,从企业管理实践的角度出发,基于研究结果提出几点思考和意见。     

互联网+背景下乌鲁木齐网约车的发展研究

网约车的出现使人们日常出行变得更加方便、快捷,但对传统的出租车行业产生了深远的影响。在“互联网+”背景下,如何使网约车在今后获得真正的可持续发展是当今社会普遍关注的热点之一。从网约车在我国的兴起与发展入手,以乌鲁木齐市为例,对乌鲁木齐市网约车发展过程中面临的主要问题,即自身网络平台、司机端、乘客端与传统出租行业的竞争以及相关监管部门等方面进行深入分析,并在完善平台系统、加强司机培训、引导市民认知、加快促进网约车和传统出租车融合发展及完善网约车服务运营管理五个方面提出合理性建议。     

Data-mining,GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.     

Predictive spatial network analysis for high-resolution transport modeling,applied to cyclist flows,mode choice,and targeting investment

Betweenness is a measure long used in spatial network analysis (SpNA) to predict flows of pedestrians and vehicles, and more recently in public health research. We improve on this approach with a methodology for combining multiple betweenness computations using cross-validated ridge regression to create wide-scale, high-resolution transport models. This enables computationally efficient calibration of distance decay, agglomeration effects, and multiple trip purposes. Together with minimization of the Geoffrey E. Havers (GEH) statistic commonly used to evaluate transport models, this bridges a gap between SpNA and mainstream transport modeling practice. The methodology is demonstrated using models of bicycle transport, where the higher resolution of the SpNA models compared to mainstream (four-step) models is of particular use. Additional models are developed incorporating heterogeneous user preferences (cyclist aversion to motor traffic). Based on network shape and flow data alone the best model gives reasonable correlation against cyclist flows on individual links, weighted to optimize GEH (r² = 0.78, GEH = 1.9). As SpNA models use a single step rather than four, and can be based on flow data alone rather than demographics and surveys, the cost of calibration is lower, ensuring suitability for small-scale infrastructure projects as well as large-scale studies.