和谐校园背景下的隐性思想政治教育

隐性思想政治教育是社会转型时期建设和谐校园，巩固社会和谐的思想道德基础的核心途径。加强隐性思想政治教育的路径包括：寓教于活动、动之以环境和建之以制度。     

城市轨道交通自动售检票系统回收类票卡的时序数据挖掘

为优化城市轨道交通自动售检票系统回收类票卡的库存、调配管理,根据系统提供的大量时序数据,设计了一个基于"ARIMA+RBF"的组合预测模型,利用组合模型预测回收类与非回收类票卡的比例趋势、每周回收类票卡使用数量,以及每周遗失回收类票卡数量。结果表明,组合模型预测的精度要比单纯ARIMA模型要高,可以用作票卡库存管理的理论依据。将其应用到回收类票卡的采购、库存及调配等方面,可以减少运营成本、提高服务质量。     

量、本、利分析法是经济活动分析好方法

在社会主义市场经济条件下,要作好经济管理工作,用量、本、利分析法开展经常性的经济活动分析,赢得市场竞争的主动权.     

基于SVM的桥梁状态监测方法

随着交通领域的迅速发展,保障桥梁安全、降低维护费用成为普遍关注的问题。以振动分析为基础、广泛借助信息技术的理论和方法,进行桥梁状态监测成为当前的研究热点。考虑到的桥梁损伤样本很难获得、个体差异使得损伤数据难以共享的实际问题,本文将桥梁状态监测归结为异常监测问题,引入基于SVM的一类学习算法从长期监测数据中获取正常状态的模式,实现异常状态的精确报警。文中采用香港汀九桥400小时实测数据,验证了这种方法的实际效果。     

文化资本积累与华村准中产阶层的形成

文化资本积累是华村准中产阶层形成的重要因素。华村第一代准中产阶层最初的发育和成长更多地是依赖外部环境与机遇,而缺乏真正意义上文化资本的投入与积累;而许多年轻一代的村民则是依赖其文化资本的积累而成为新的准中产阶层或中产阶层。     

A级表面SMC的研究进展及其在汽车上的应用

介绍了国内外研究A级SMC（片状模塑料）的状况、最新进展及其在汽车领域的一些应用实例，指出用A级SMC制造汽车（特别是轿车）壳体是重要发展趋势之一。     

TMIS车站货运系统班统计的实现

针对TMIS车站系统在建设实施中出现的统计功能的不足之处,提出了完善系统统计功能的思路和实现方式,并结合郑州东车站系统的建设实际,以班统计为例,予以较为具体的阐述.     

Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling

Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date, there exist a few sensor network based systems to address this problem. However, these techniques are not suitable enough in terms of monitoring an entire transportation system and delivering emergency services when needed. These techniques require real-time data and intelligent ways to quickly determine traffic activity from useful information. In addition, these existing systems and websites on city transportation and travel rely on rating scores for different factors (e.g., safety, low crime rate, cleanliness, etc.). These rating scores are not efficient enough to deliver precise information, whereas reviews or tweets are significant, because they help travelers and transportation administrators to know about each aspect of the city. However, it is difficult for travelers to read, and for transportation systems to process, all reviews and tweets to obtain expressive sentiments regarding the needs of the city. The optimum solution for this kind of problem is analyzing the information available on social network platforms and performing sentiment analysis. On the other hand, crisp ontology-based frameworks cannot extract blurred information from tweets and reviews; therefore, they produce inadequate results. In this regard, this paper proposes fuzzy ontology-based sentiment analysis and semantic web rule language (SWRL) rule-based decision-making to monitor transportation activities (accidents, vehicles, street conditions, traffic volume, etc.) and to make a city-feature polarity map for travelers. This system retrieves reviews and tweets related to city features and transportation activities. The feature opinions are extracted from these retrieved data, and then fuzzy ontology is used to determine the transportation and city-feature polarity. A fuzzy ontology and an intelligent system prototype are developed by using Protégé web ontology language (OWL) and Java, respectively. The experimental results show satisfactory improvement in tweet and review analysis and opinion mining.     

Gas anxiety and the charging choices of plug-in hybrid electric vehicle drivers

Plug-in hybrid electric vehicles (PHEVs) can provide many of the benefits of battery electric vehicles (BEVs), such as reduced petroleum consumption and greenhouse gas emissions, without the “range anxiety” that can accompany driving a vehicle with limited range when there are few charging opportunities. However, evidence indicates that PHEVs are often plugged in more frequently than BEVs in practice. This is somewhat paradoxical: drivers for whom plugging in is optional tend to do so more frequently than those for whom it is necessary. This has led to the coining of a new term – “gas anxiety” – to describe the apparent desire of PHEV drivers to avoid using gasoline. In this paper, we analyze the variables influencing the charging choices of PHEV owners, testing whether drivers express preferences consistent with the concept of gas anxiety. We analyze data collected in a web-based stated preference survey using a latent class logit model. The results reveal two classes of decision-making patterns among the survey respondents: (1) those who weight the cost of gasoline and the cost of recharging approximately equally (the cost-minimizing class), and (2) those who weight the cost gasoline more heavily than the cost of recharging (the gas anxiety class). Respondents in the gas anxiety class expressed a willingness to recharge at a charging station even when doing so would cost approximately four times as much as the cost of the gasoline avoided. While the gas anxiety class represents the majority of our sample, more recent PHEV adopters are more likely to be in the cost-minimizing class. Looking forward, this suggests that public charging station operators may need to price charging competitively with gasoline on a per-mile basis to attract PHEV owners.     

宁海白峤岭隧道设计

宁海白峤岭隧道是宁波市规划的高等级公路网中沿海南线公路的组成部分 ,为双向四车道 ,下行线隧道长 85 0m ,目前已建成通车。隧道地质条件较差 ,因而对隧道的施工、防排水要求较高。另外该隧道位于城区 ,要求隧道建成后两侧洞门与自然景观协调、富有特色 ,从而增加了设计的难度和复杂性。本文对该隧道的设计概况作一介绍