整合营销传播理论与新广告主义革命

整合营销传播（IMC）理论在广告业界的导入并未完成中国广告传播理念的根本性转移。中国广告尚期待一场深层意义上的实践性变革,即实现从集＂销售主义＂大成的＂整合营销传播（IMC）＂到＂人文关怀与社会关怀＂相融汇的新广告范式建构,亦即本文所论及的＂新广告主义革命＂,以此完成广告传播的观念重建,最终实现从以物为本到以人为本的根本性变革。     

试论汽车驾驶培训中的一体化教学

职业技能培训教学一体化是职业教育的优选方法,能提高受培训者的综合能力素质。汽车驾驶培训教学中的三个"一体化"是指汽车构造理论与实物车辆教学一体化、车辆使用常识与实车操作教学一体化和驾驶考试项目与道路驾驶教学一体化。要提高汽车驾驶培训教学一体化的效果,就必须打造实施教学一体化的环境;多头并举,着力推进教学一体化;培训能实施教学一体化的"实力"型教师。     

支持产品工程分析的集成产品模型

本文分析了基于产品几何模型、装配信息，支持产品工程分析的集成产品模型描述。该模型在产品几何模型和装配模型的基础上集成了零部件设计参数、参数之间的约束关系、受力状况、力学性能。阐述了Pro/Engineer平台应用系统原理。     

基于软构件的Web办公系统的设计与实现

该文对软构件进行了研究,提出了利用DSCIE（Distributed Software Component Integrated Environment）,即分布式软构件集成环境的框架开发Web办公系统的方法。Web办公系统通过.net技术来实现。并且基于这个框架成功开发出了铁路Web办公系统。     

基于融合信息的癌症相关基因选择方法

基因表达数据的出现,为人类从分子生物学的角度研究和探索癌症的发病机理提供了广阔的前景,利用基因表达数据发现与癌症相关的基因对于癌症的诊断和治疗具有重要的意义。在过去的十几年里,已经有很多种计算方法被成功地用于从基因表达数据中找出与癌症相关的关键基因,然而,不同的方法从不同的角度刻画基因对不同类型样本的区分能力,它们选择出来的关键基因可能不一致,这将给医学解释和应用带来困扰。现提出一种融合的方法,即将基因在不同方面对样本的判别能力结合起来,首先计算每个基因的信息增益、全局判别能力和局部判别能力,再用它们的识别率进行加权,进而计算每个基因的综合判别能力,最后筛选出判别能力最高的基因子集作为关键基因子集。实验结果表明,此方法得到了比采用单独一种评价标准更好的识别效果。     

Eclipse插件的开发与研究

本文以Eclipse插件为例,给出了插件开发的目的、意义和具体实现的方法。     

通信工程项目的集成化管理之我见

通信工程项目的管理应以项目管理为核心,以控制项目进度为目的,并合理控制项目预算和物资的库存,对项目进行全方位的管理。传统项目管理模式人为地将项目管理割裂为相互独立的几个阶段,导致许多难以克服的弊端,例如：信息的沟通渠道不畅通;数据的管理工作无法统一,容易造成资源浪费等。把通信工程项目管理的传统管理模式过渡到工程项目管理的深层影响因素上来,下文尝试通过对集成理论的引入,来研究通信工程项目管理理论。     

Use of a dark object concept and support vector machines to automate forest cover change analysis

An automated method was developed for mapping forest cover change using satellite remote sensing data sets. This multi-temporal classification method consists of a training data automation (TDA) procedure and uses the advanced support vector machines (SVM) algorithm. The TDA procedure automatically generates training data using input satellite images and existing land cover products. The derived high quality training data allow the SVM to produce reliable forest cover change products. This approach was tested in 19 study areas selected from major forest biomes across the globe. In each area a forest cover change map was produced using a pair of Landsat images acquired around 1990 and 2000. High resolution IKONOS images and independently developed reference data sets were available for evaluating the derived change products in 7 of those areas. The overall accuracy values were over 90% for 5 areas, and were 89.4% and 89.6% for the remaining two areas. The user's and producer's accuracies of the forest loss class were over 80% for all 7 study areas, demonstrating that this method is especially effective for mapping major disturbances with low commission errors. IKONOS images were also available in the remaining 12 study areas but they were either located in non-forest areas or in forest areas that did not experience forest cover change between 1990 and 2000. For those areas the IKONOS images were used to assist visual interpretation of the Landsat images in assessing the derived change products. This visual assessment revealed that for most of those areas the derived change products likely were as reliable as those in the 7 areas where accuracy assessment was conducted. The results also suggest that images acquired during leaf-off seasons should not be used in forest cover change analysis in areas where deciduous forests exist. Being highly automatic and with demonstrated capability to produce reliable change products, the TDA-SVM method should be especially useful for quantifying forest cover change over large areas.