基于情感计算的商品评论分析系统

针对电子商务中的商品评论信息过载问题,运用情感计算理论,通过挖掘商品评论信息中的商品特征及相应的情感褒贬态度,为消费者提供一个商品特征粒度上的情感分析结果,从而帮助消费者从庞杂的商品评论中快速获取有效信息。系统首先采集指定商品的评论集并挖掘商品特征,然后结合情感语料库和词汇相似度计算,利用依存关系找到特征-极性词对以及程度副词和否定词。基于以上结果,考虑程度副词的强度,以及程度副词和否定词共现语序不同造成的语义差异,提出了商品评论情感倾向程度的计算方式。最后,进行系统实现并验证算法的有效性。实验结果表明,系统具有良好的应用效果。     

Spray Drying Performance of a Laboratory Spray Dryer for Tomato Powder Preparation

This work investigates the performance of a spray dryer for tomato powder preparation by spray drying of tomato pulp. Samples of tomato pulp with a 14% constant total solids concentration were used, and a pilot scale spray dryer (Buchi, B-191) with cocurrent operation and a two-fluid nozzle atomizer was employed for the spray drying process. Twenty-four different experiments were conducted keeping constant the feed rate, the feed temperature, and the atomizer pressure, and varying the compressed air flow rate, the flow rate of drying rate, and the air inlet temperature. In each experiment the air outlet temperature was recorded. Data for the residue remaining in the chamber and cyclone walls was gathered and two types of efficiencies were calculated as an indication of the spray dryer performance. Analysis of experimental data yielded correlations between residue accumulation and the variable operating conditions. The same operating parameters had a great influence on the air outlet temperature whereas temperature deviations were observed comparing measured air outlet temperatures with corresponding outlet adiabatic saturation temperatures.     

CAE技术在解决胶带座注塑缺陷中的应用

介绍了CAE技术在注塑产品生产中的应用。针对胶带座在注塑成型过程中产生的缺陷，借助CAE软件验证了产生缺陷的位置，找出了产生缺陷的原因。并在工艺、模具和产品设计上进行了修改，从而解决了实际生产中遇到的问题，为实际生产提供了指导。     

Windows Mobile智能手机产品管理系统的研究与实现

从实际出发分析了基于Windows Mobile平台的维吾尔文产品管理系统,着重研究Windows Mobile的应用开发,而且研究了维吾尔文的书写特点、手机输入法设计中的难点、以及不等宽,设计实现了具有不同编辑方向的维、汉、英、多语种智能手机的混合输入和屏幕显示。在系统的设计和实现过程中引入Windows Mobile技术和SQL Server Mobile数据库技术来解决相关数据的存储和处理问题。在基于.NET compact Framework的智能设备开发框架下,使用Pocket outlook对象模型,实现对客户的便捷与通讯功能。     

Effect of different oxygen species originating from the dissociation of O2, N2O and NO on the selectivity of the Pt-catalysed NH3 oxidation

An effect of oxygen species formed from O₂, N₂O and NO on the selectivity of the catalytic oxidation of ammonia was studied over a polycrystalline Pt catalyst using the temporal analysis of products (TAP) reactor. The transient experiments were performed in the temperature range between 773 and 1073 K in a sequential pulse mode with a time interval of 0.2 s between the pulses of the oxidant (O₂, N₂O and NO) and NH₃. In contrast to adsorbed oxygen species formed from NO, those from O₂ and N₂O reacted with ammonia yielding NO. It is suggested that the difference between these oxidising agents may be related to the different active sites for dissociation of O₂, N₂O and NO, where oxygen species of various Pt-O strength are formed. Weaker bound oxygen species, which are active for NO formation, originate from O₂ and N₂O rather than from NO. These species may be of bi-atomic nature.     

基于欧氏距离及向量内积的骨架提取算法

对骨架算法进行研究,提出一种骨架提取算法.通过对图像内部像素点进行距离变换得到其最近边界点的位置,将内部像素点到最近边界点的向量定义为边界向量,根据物体内部相邻边界向量的方向,计算每个像素点的内积值和其8邻域的最小内积值,得到的最小内积点,以确定的阈值从最小内积点中选取骨架种子点,再对骨架种子点进行处理,得到连通的骨架.试验证明这种算法能保证骨架具的完整性和连通性,正确反映物体的拓扑结构.     

A systematic data-mining-based methodology for product family design and product configuration

Product family design and product configuration based on data mining technology is identified as an intelligent and automated means to improve the efficiency of product development. However, few of previous literatures have proposed systematic product family design method based on data mining technology. To make up for this deficiency, this research put forward a systematic data-mining-based method for product family design and product configuration. First, the customer requirement information and product engineering information in the historical order are formatted into structural data. Second, principal component analysis is performed on historical orders to extract the customers' differentiated needs. Third, association rule algorithm is introduced to mine the rules between differentiated needs and module instances in the historical orders, thus obtained the configuration knowledge between customer needs and product engineer. Forth, the mined rules are used to construct association rule-based classifier (CBA) that is employed to sort out the best product configuration schemes as popular product variants. Fifth, sequence alignment technique is employed to identify modules for popular product variants, so that the module instances are divided into optional, common and special module, respectively, thereby the product platform is generated based on common modules. Finally, according to new customer needs, the CBA classifier is used to recommend the best configuration schemes, and then popular product variants are configured based on the product platform. The feasibility of the proposed method is demonstrated by the product family design example of desktop computer hosts.     

KBE技术在铝型材挤压模具设计中的应用

将KBE技术应用于铝型材挤压模具设计中，通过充分利用多来源的领域知识对铝型材模具设计提供最大限度支持，提高工程决策有效性。本文介绍了铝型材挤压模具KBE原型系统框架及其关键技术。     

基于ASP模式的产品设计支持系统开发

分析了基于网络的现代产品设计支持系统开发的关键问题，利用ASP模式构建产品设计支持系统开发的结构框架。整个开发模式为不同层次的产品设计参与成员提供一集成人机智能与人人智能的设计支持系统，有效地提高了中小企业的产品开发能力。     

基于STEP的产品数据表达及其向XML的映射研究

从满足产品数据在全生命周期内集成和共享的需求出发,提出了基于STEP标准的产品数据表达框架,构建了基于EXPRESS语言的产品信息模型,并将信息模型向XML进行表达映射.该方法可有效降低产品生命周期内的产品数据交换成本,提高产品研发效率,同时可使产品数据通过Internet进行传输.