快乐体育教学思想在高校体育教学中的实施

本文运用文献资料法,从“快乐体育”教学思想的内涵和特点入手,在研究我国高校体育教学现状和分析运用“快乐体育”相关资料的基础上,对快乐体育教学思想在高校体育教学中如何实施作了分析和阐述。     

信号控制下交叉口延误计算方法研究

为了对交通信号控制参数进行优化,需要对交叉口延误进行定量的分析与计算。根据信号控制交叉口理论,在以往定时信号延误研究的基础上,基于交叉口一个进口方向的车辆延误分析,针对交叉口各进口方向同时处于非饱和与同时处于过饱和交通状况,分析并推导了交叉口延误公式.并用具体的算例说明了公式的用法。公式表明了交叉口延误与信号控制参数、车辆到达率等参数之间的动态关系,为进一步研究交通信号自适应控制方法和建立交通信号控制参数优化的性能指标函数提供了信息。     

Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach

Estimation of urban network link travel times from sparse floating car data (FCD) usually needs pre-processing, mainly map-matching and path inference for finding the most likely vehicle paths that are consistent with reported locations. Path inference requires a priori assumptions about link travel times; using unrealistic initial link travel times can bias the travel time estimation and subsequent identification of shortest paths. Thus, the combination of path inference and travel time estimation is a joint problem. This paper investigates the sensitivity of estimated travel times, and proposes a fixed point formulation of the simultaneous path inference and travel time estimation problem. The methodology is applied in a case study to estimate travel times from taxi FCD in Stockholm, Sweden. The results show that standard fixed point iterations converge quickly to a solution where input and output travel times are consistent. The solution is robust under different initial travel times assumptions and data sizes. Validation against actual path travel time measurements from the Google API and an instrumented vehicle deployed for this purpose shows that the fixed point algorithm improves shortest path finding. The results highlight the importance of the joint solution of the path inference and travel time estimation problem, in particular for accurate path finding and route optimization.     

从日照港看中国港口经济的发展

介绍了日照港的现状,以及吞吐量跨越增长的历史沿革;分析了日照港经济发展的主要特点和加快港口经济发展的主要措施;从中国港口经济发展应遵循的原则着手,从创建良好外部环境、企业内部经营机制、提高港口核心竞争力等诸多方面,提出了中国港口经济发展的几点思考。     

Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners

This research investigates factors that influence opinion in the decision to fly on fully autonomous passenger airliners primarily from the perspective of aviation and technology professionals. Bayesian statistical inference and a two‐level fractional factorial survey are used to sample passengers' views on fully autonomous airliners. Eight trust, safety, and cost factors are incorporated into a vignette set in the future. Factors include automation levels, safety records, liability guarantees, airline integrity, and service disruptions. Dependent variables exist in five post‐vignette questions and essentially ask “Would you” or “Would you not” be willing to fly on a fully autonomous airliner? Sixteen versions of the vignette, each with unique trust, safety, and cost levels, present varying (unknown) degrees of influence to the survey respondents. For every demographic, the research shows a 99% statistically significant difference between the “prior” and “posterior” sampled population proportions willing to fly. The most significant positive influence involves integrity characteristics of the airline, while the most negative influence relates to life insurance liability guarantees. Research from 2003 suggested that this mode of travel would be acceptable to only 10.5% of respondents. When the 2003 research is used as a Bayesian prior probability, the resulting posterior probability for the demographics sampled can be modeled as a beta distribution, indicating 95% probability that the sampled proportion of the population willing to fly is between 33.2% and 36.4%. After adjusting for age and profession demographics to match the US population, the 95% probability bounds on the proportion willing to fly are 31.35% and 34.15%. Copyright © 2015 John Wiley & Sons, Ltd.     

A new approach for improving the performance of freight train timetabling of a single-track railway system

A new approach for improving the performance of freight train timetabling for single-track railways is proposed. Using the idea of a fixed-block signaling system, we develop a matrix representation to express the occupation of inter- and intra-station tracks by trains illustrating the train blocking time diagram in its entirety. Train departure times, dwell times, and unnecessary stopping are adjusted to reduce average train travel time and single train travel time. Conflicts between successive stations and within stations are identified and solved. A fuzzy logic system is further used to adjust the range of train departure times and checks are made to determine whether dwell times and time intervals can be adjusted for passenger and freight trains at congested stations to minimize train waiting times. By combining manual scheduling expertise with the fuzzy inference method, timetable efficiency is significantly improved and becomes more flexible.     

多分类转导支持向量机

为了完成分类学习,传统的支持向量机基于带标记信息的经验数据归纳出一个通用的决策函数。而转导支持向量机则不同,它考虑包含测试集在内的所有数据信息并致力于最小化测试样本的分类错误数。在已有的2类分类方法的基础上构造了直接求解多类分类问题的的转导支持向量机。     

邓小平"三农"思想的探讨

关于农业现代化的思想是邓小平理论中一个非常重要的组成部分,研究邓小平的农业现代化思想对指导和推动我国社会主义新农村的建设和跨世纪的发展具有重大的现实意义.邓小平的“三农“思想主要包括如下几点:农业是国民经济的基础,同时是社会主义现代化建设的基础;把调动农民积极性作为制定农村政策的出发点;尊重农民的首创精神;保证农民的经济利益;保障农民的生产经营自主权;实践证明是正确的、农民拥护的政策就不要变;农业的发展需要三靠:一靠政策,二靠科技,三靠投入;农业的发展需要科技、教育的支持.     

中英思维模式差异对英汉学术论文写作的影响

探讨了中英语篇思维模式差异对英汉学术论文写作中论证方法的影响问题.文章通过分析指出,中英思维模式存在着直觉与抽象、本体与客体和螺旋与直线型差异,并因此导致英汉学术论文中论证方法在修辞手段、引经据典、引用权威等方面的使用差异.文章最后指出,只有了解英汉思维模式的差异,分析其文化成因,才能真正实现跨文化写作的成功.     

生态思想与道路建设发展综述

为探究生态和生态道路的涵义,厘清生态和道路建设的关系,从生态学和文学角度阐述了生态的释义,探讨了我国“天人合一”和“风水”思想,总结了近年来提出的绿色生态设计思想,梳理了我国道路建设技术和设计理念的发展历程,阐述了对生态道路设计建造的内涵理解,为生态道路建设的理论体系构建提供参考。