中文文本信息过滤技术研究

随着互联网信息数量的急剧增加,文本信息过滤技术越来越受到重视。本文首先介绍了文本信息过滤技术的发展历史和研究现状,阐述了中文文本过滤的特点和要求。重点分析了中文文本过滤技术的关键技术和评价标准。     

发展中国智能铁路系统的若干思考

总结了智能交通系统ITS的发展状况和智能铁路系统的国内外研究情况,提出了中国智能铁路系统CIRS的基本组成和总体结构。在此基础上,分析了中国智能铁路系统CIRS的基本特征和所具有的优势,指出了中国智能铁路GIRS的若干关键技术,并对GPS在智能铁路系统中的应用进行了讨论,最后提出了发展中国铁路智能系统CIRS的若干建议。     

试评广州地铁站汉语标示的英译

要把广州建成国际化旅游城市,良好的公共交通及旅游文化环境是必不可少的。广州地铁是公共交通一个重要组成部分,其汉语标示及英译装潢醒目,字体美观,但英译的准确性还存在种种问题。文中根据文化与翻译的有关理论对此试作评论。     

基于建构主义的《道路桥梁施工与养护》高职网络课程开发

本文结合《道路桥梁施工与养护》高职网络课程,从建构主义理论出发,设计网络课程;讨论分析了利用计算机手段把文字、图形、图像、动画、视频和声音等多媒体综合起来,用多种软件技术设计制作网络多媒体课件的实践。     

基于灰度变换的沥青混合料图像增强及分割实现

数字图像技术是提取和描述沥青混合料细观结构的有效途径,可以通过图像增强、图像分割实现集料和其他组分的分离。通过灰度变换方法调整图像的动态灰度范围,便于进行后续的图像分割处理。结合Matlab软件实现图像的灰度变换增强,同时采用代数运算、除噪滤波进行处理,实现了混合料图像的分割处理及边界识别。     

多发脑梗死血浆内皮素的动态变化及补肾化瘀中药的影响

采用放射免疫分析（ＲＩＡ）对多发脑梗死模型组大鼠和补肾益脑、活血化瘀中药治疗组血浆内皮素（Ｅｎｄｏｔｈｅｌｉｎ, ＥＴ）进行动态测定,并用水迷宫试验评价其分辨性学习记忆能力。结果表明：多发脑梗死血浆ＥＴ存在先迅速升高,７ｄ 达峰后迅速下降,至１４ｄ 达正常水平的时相变化;补肾益脑、活血化瘀中药组各时期ＥＴ水平均显著低于模型组（ Ｐ＜ ０．０５）,且前者学习记忆能力缺损轻于后者（ Ｐ＜ ０．０５）。提示补肾益脑、活血化瘀中药通过降低局部ＥＴ而改善脑梗死的结局     

国外职业教育的经验及其对我国高职教育的启示

本文介绍了澳大利亚、加拿大、德国等国家的全民教育情况,分析了这些国家的高职教育经验和方法,并结合我国高职教育的实际情况,提出了制订专业及课程国家标准,建立多元化、多规格的教育体系,打通中职、高职教育与本科教育的通道,深度开展校企合作等建议。     

中英标准结合的重力式码头沉降控制方法

重力式码头是一种常用的码头结构形式,如何有效控制重力式码头的工后沉降,对于保证码头建设质量至关重要。介绍了中、英标准在重力式码头沉降控制上的差异。以沙特海尔港四期项目为例,提出了结合中、英标准的重力式码头沉降控制方法,并进行了基于有限元的理论计算和现场观测试验验证,基于有限元技术的沉降计算和现场观测数据吻合较好。使用中、英标准结合控制重力式码头工后沉降既可保证施工质量,又能缩短工期,具有良好的实施性。     

Impacts of trade liberalization on Chinese economy with Belt and Road initiative

China has been continuously implementing the open-door policy for past 15 years ever since it joined the World Trade Organization, which escalated international trade and demand for shipping. Compared with the other major importing countries in the world, China’s importing tariff is relatively low. Under the Belt and Road initiatives, more Free Trade Agreements to be concluded and more Free Trade Zones to be established, it is expected that the effective import tariff rate may continue to decrease in the future. This study analyses the impact of further reduction in Chinese import tariff rate on major economic indicators using a computable general equilibrium (CGE) model and based on the Chinese macro-economic data of 2012. The model results show that, with a balanced international payment, such a reduction can increase GDP, resident consumption, both imports and exports, and reduce GDP price, trade surplus, and government revenue. The results ease the concern that further import tariff reduction may harm the domestic production. Rather, it points out that there are still rooms to improve national economy and increase the consumer utility by trade liberation.     

Transportation mode detection – an in-depth review of applicability and reliability

The wide adoption of location-enabled devices, together with the acceptance of services that leverage (personal) data as payment, allows scientists to push through some of the previous barriers imposed by data insufficiency, ethics and privacy skepticism. The research problems whose study require hard-to-obtain data (e.g. transportation mode detection, service contextualisation, etc.) have now become more accessible to scientists because of the availability of data collecting outlets. One such problem is the detection of a user's transportation mode. Different fields have approached the problem of transportation mode detection with different aims: Location-Based Services (LBS) is a field that focuses on understanding the transportation mode in real-time, Transportation Science is a field that focuses on measuring the daily travel patterns of individuals or groups of individuals, and Human Geography is a field that focuses on enriching a trajectory by adding domain-specific semantics. While different fields providing solutions to the same problem could be viewed as a positive outcome, it is difficult to compare these solutions because the reported performance indicators depend on the type of approach and its aim (e.g. the real-time availability of LBS requires the performance to be computed on each classified location). The contributions of this paper are three fold. First, the paper reviews the critical aspects desired by each research field when providing solutions to the transportation mode detection problem. Second, it proposes three dimensions that separate three branches of science based on their main interest. Finally, it identifies important gaps in research and future directions, that is, proposing: widely accepted error measures meaningful for all disciplines, methods robust to new data sets and a benchmark data set for performance validation.