Modelling the travel time of transit vehicles in real‐time through a GTFS‐based road network using GPS vehicle locations

Predicting the arrival time of a transit vehicle involves not only knowledge of its current position and schedule adherence, but also traffic conditions along the remainder of the route. Road networks are dynamic and can quickly change from free‐flowing to highly congested, which impacts the arrival time of transit vehicles, particularly buses which often share the road with other vehicles, so reliable predictions need to account for real‐time and future traffic conditions. The first step in this process is to construct a framework with which road state (traffic conditions) can be estimated using real‐time transit vehicle position data. Our proposed framework implements a vehicle model using a particle filter to estimate road travel times, which are used in a second model to estimate real‐time traffic conditions. Although development and testing took place in Auckland, New Zealand, we generalised each component to make the framework compatible with other public transport systems around the world. We demonstrate the real‐time feasibility and performance of our approach in real‐time, where a combination of R and C++ was used to obtain the necessary performance results. Future work will use these estimated traffic conditions in combination with historical data to obtain reliable arrival time predictions of transit vehicles.     

充分发挥公共关系在素质教育中的独特作用

公共关系以形象塑造为核心,是高等院校进行素质教育的重要组成部分,对大学生学业、择业与就业和成长、成才与成功有极大的帮助。本文重点论述公关教育和素质教育目标一致,并在素质教育中发挥独特的育人作用。在高等院校开展的公共关系教育已成为素质教育的重要资源,是最受大学生欢迎、普及面最广的素质教育辅助课程之一,已构建起新的育人平台。     

Pollutant Ground Concentrations of Nonneutrally Buoyant Particles

A methodology is suggested for the estimation of the mass density and the cumulative ground deposition of a nonvolatile, nonneutrally buoyant, air pollutant (liquid or solid) released from a polluted column (following an explosion caused during routine operation in, e.g., the chemical industry or due to any kind of hostile act) and deposited on the ground via gravitational settling. In many cases, the deposited mass due to gravitational settling constitutes a significant fraction of the original inventory released from the source. Implementation of the methodology in preliminary risk assessments can serve as an efficient tool for emergency planning for both immediate and long‐term measures such as evacuation and decontamination. The methodology considers, inter alia, an estimation of the critical particle diameter, particle size, and mass distributions along the polluted column. This methodology was developed to apply in rural regions since proper application of relevant meteorological input data can be accomplished mainly for such areas.     

象征型品牌的效应——从意义到忠诚

已有研究大都把品牌的象征形象视作一个单维的构念,并未对品牌代表的象征意义的丰富性及其性质的差异予以重点关注。从消费者的视角,以心理学和社会心理学的自我理论为基础,通过文献整理和归纳,将品牌的象征形象区分为个人形象、社会形象、关系形象和集体形象4个维度,通过问卷调查和回归分析研究这些不同性质的象征形象如何作用于消费者的品牌忠诚。研究结果表明,品牌的象征形象总体上可以通过品牌涉入、自我-品牌联结和品牌信任的中介作用对消费者的品牌忠诚产生积极的影响,品牌象征形象的4个维度均对消费者的自我-品牌联结有显著的正向作用,个人形象和集体形象对品牌涉入有显著的正向作用,个人形象、社会形象和关系形象对品牌信任也有显著的正向作用,品牌涉入、自我-品牌联结和品牌信任可以直接促进消费者的品牌忠诚。     

歌德笔下的拿破仑形象

晚年的歌德明确表达了对拿破仑的敬仰和崇拜,塑造出一个“乌托邦化”的拿破仑形象,其原因首先在于拿破仑对歌德有着“知遇之恩”;其次在于拿破仑是个天才,而歌德恰恰推崇天才;再次在于歌德将拿破仑当作批判德国现实、建构德国未来的一面镜子;最后在于歌德是一个世界主义者,反对民族仇恨,呼吁用世界性的眼光看待世界。透过歌德塑造拿破仑形象的四种动机,我们清晰地看到了他身上“庸人”和“天才”的双重性。     

唐五代词中的“小夜曲”——《更漏子》

《更漏子》是晚唐五代时期流行于歌坛的一支"小夜曲",有着短小轻灵、新颖别致的形体特征,既具有大石调"风流酝藉"的韵致,又兼有商调"凄怆怨慕"的风情。今存27首唐五代《更漏子》词作,由9位唐五代词坛的"大家"或"名家"创制,以抒写夜幕下更漏声中女子的相思愁怨之情为主题,以密集的意象运用和孤寒的意境创造为特色。     

民族秘史中的人性放纵与毁灭——白鹿原上论小娥

在陈忠实长篇小说《白鹿原》塑造的众多人物形象中,田小娥只是其中的一个＂小人物＂,但又是形象丰满鲜活的一个,甚至可以说是作品中最为成功的女性形象。与此同时,她又是一个＂被侮辱与被损害的＂人物形象,其在《白鹿原》这一部＂民族秘史＂中的人性放纵与毁灭,充分显示出封建家族文化境遇下的中国女性命运是何等的悲惨。若对其悲剧命运加以具体展现与冷静审视,不难发现田小娥这一女性形象背后所负载的文化价值内涵。     

英语短语动词多义性的认知分析——以 “go up”多义性为例

英语短语动词结构复杂,语义丰富,对于英语学习者来说是一种比较难把握的语言现象,但是其多义性的形成是遵循我们的认知规律的。短语动词的多义性根源于动词和小品词的多义性,动词和小品词的多义性主要由我们对它们本身的意象图式的不同视角焦点和隐喻思维形成的,短语动词的多义性是由动词和小品词的意义分别形成不同的输入空间,两输入空间之间经过有选择性的投射,在整合空间的加工而形成了短语动词的多义性。为了探讨多义性形成的机制,文章以＂go up＂为例,对其多义性进行了详细的阐释。     

针对纸病检测的实时污点提取算法

提出一种高效、实时的专门针对纸病检测的污点提取算法。该算法对CCD相机采集的每一行图像数据进行即时处理,并立即判断该行数据上有几段污点线段,该污点线段是否与上行数据的污块相连通。算法通过逐行扫描的方式,将被检测污块逐段向下推进,直到认为到达污点的最下方边沿。实际应用结果表明,该算法适用于检测任意形状的污块。     

明代意象论研究

意象是中国古典文论所特有的一个文艺理论范畴,通常被用来评诗、论画。意象论的形成经历了漫长的发展过程,经先秦、唐宋之后,到明代才迎来了意象论的真正成熟。明代人在讨论意象时提出了明确的理论观点,认为意象要衡当、意象要含蓄、意象要虚构等。这些理论观点在清代得到了进一步的继承和发展。