炼钢厂系统的运行原则与调控策略

炼钢厂系统是钢铁制造过程系统的一个重要子系统，其制造过程的复杂性、过程控制的艰巨性是钢铁制造过程多维物质流管制最集中的体现. 炼钢区段的优化与控制是钢铁制造过程系统运行控制的关键. 在总结以往炼钢厂物质流管制研究工作的基础上，从理性角度对炼钢厂系统的运行与控制进行探索，归纳出炼钢厂系统运行优化的逻辑与实现关系，并对转炉炼钢厂系统调控策略进行补充，阐述了炼钢系厂统运行优化的层次与指导策略.     

台塑公司高密度聚乙烯专用树脂的开发策略

介绍了台湾塑胶工业股份有限公司高密度聚乙烯(HDPE)树脂的生产装置、工艺技术、生产能力、树脂牌号及新产品开发现状,同时阐述了HDPE专用树脂的开发策略。目前,台塑公司HDPE商品牌号台塑烯的产品包括薄膜专用树脂、中空吹塑专用树脂、挤出专用树脂和注塑等用树脂等,并且产品具有单峰、双峰甚至宽峰相对分子质量分布的特性。2006年,台塑公司将调整台塑烯专用树脂的生产比例,强化产品结构而维持一定的营利水平。     

石油勘探开发行业可持续发展战略研究

从可持续发展的基本内涵出发，初步研究了石油勘探开发行业可持续发展的主要特征和指导原则，并提出了石油勘探开发行业可持续发展的若干主要对策。将可持续发展思想和战略逐渐融进石油工业业务活动中去，对我国石油工业的持续稳定发展具有十分重要的意义。     

基于优进策略的遗传算法对重油热解模型参数的估计

针对常规遗传算法全局寻优效率偏低的弱点，提出了一种优进策略，用以改进常规遗传算法。该策略将从繁衍过程中获取进化信息，自适应地改进子代分布，适时引入确定性操作，以提高全局寻优性能。提出的相关技术包括维持种群的多样性、改进交叉算子、增加Powell寻优算子等。实例测试表明这种优进策略效果良好，并已成功地应用于重油热解三集总动力学复杂数学模型的非线性参数估计。     

实行可持续发展的战略建设山西能源经济基地

本文根据国内外一些最新资料和数据，顺序分析了世界、中国和山西面向２１世纪的能源供求形势特点和现状后，认为煤炭作为世界第二大能源和中国第一大能源的地位在２１世纪不会有多大变化；但根据精查储量计算，煤炭资源在中国则相当紧张；山西省能源基地经过１５年的建设将进一步成为全国重要的商品煤、电生产基地，但多年来该基地在为全国经济发展做出巨大贡献的同时，资源浪费、电生产基地，但多年来该基地在为全国经济发展做出巨     

旁氏,夏天里的女人故事

美白产品始终是夏季护肤品市场竞争的焦点，旁氏推出“日夜美白不停顿”的新概念以应对传统美白产品的挑战，并利用策略发展和广告创意的源动力——“消费者洞察力”概念推出了一套精准的传播策略和创意出色的广告，对消费者产生了很强的吸引力。     

企业如何建立可持续发展战略

简介“可持续发展战略”的来由和我国的具体要求,介绍国外企业可持续发展的动态,提出５点建议供企业参考。     

应用免疫策略对蒙脱石HIV DNA疫苗免疫作用的研究

目的运用Prime—Boost策略,研究蒙脱石(MMT)DAN疫苗对小鼠免疫功能的影响。方法选用3H-TdR掺入法测定MMT和DNA联合免疫小鼠脾淋巴细胞的增殖反应;采用ELISA试剂盒检测血清中的抗体和细胞因子。结果使用痘苗病毒和/或加入MMT加强免疫DNA疫苗后,均可以提高其体液和细胞免疫功能。结论“Prime-boost-boost”免疫方案在小动物模型中取得了较好的免疫效果。     

Exploiting temporal information in Web search

Time plays important roles in Web search, because most Web pages contain temporal information and a lot of Web queries are time-related. How to integrate temporal information in Web search engines has been a research focus in recent years. However, traditional search engines have little support in processing temporal-textual Web queries. Aiming at solving this problem, in this paper, we concentrate on the extraction of the focused time for Web pages, which refers to the most appropriate time associated with Web pages, and then we used focused time to improve the search efficiency for time-sensitive queries. In particular, three critical issues are deeply studied in this paper. The first issue is to extract implicit temporal expressions from Web pages. The second one is to determine the focused time among all the extracted temporal information, and the last issue is to integrate focused time into a search engine. For the first issue, we propose a new dynamic approach to resolve the implicit temporal expressions in Web pages. For the second issue, we present a score model to determine the focused time for Web pages. Our score model takes into account both the frequency of temporal information in Web pages and the containment relationship among temporal information. For the third issue, we combine the textual similarity and the temporal similarity between queries and documents in the ranking process. To evaluate the effectiveness and efficiency of the proposed approaches, we build a prototype system called Time-Aware Search Engine (TASE). TASE is able to extract both the explicit and implicit temporal expressions for Web pages, and calculate the relevant score between Web pages and each temporal expression, and re-rank search results based on the temporal-textual relevance between Web pages and queries. Finally, we conduct experiments on real data sets. The results show that our approach has high accuracy in resolving implicit temporal expressions and extracting focused time, and has better ranking effectiveness for time-sensitive Web queries than its competitor algorithms.     

An architectural design for effective information retrieval in semantic web

The current web IR system retrieves relevant information only based on the keywords which is inadequate for that vast amount of data. It provides limited capabilities to capture the concepts of the user needs and the relation between the keywords. These limitations lead to the idea of the user conceptual search which includes concepts and meanings. This study deals with the Semantic Based Information Retrieval System for a semantic web search and presented with an improved algorithm to retrieve the information in a more efficient way.This architecture takes as input a list of plain keywords provided by the user and the query is converted into semantic query. This conversion is carried out with the help of the domain concepts of the pre-existing domain ontologies and a third party thesaurus and discover semantic relationship between them in runtime. The relevant information for the semantic query is retrieved and ranked according to the relevancy with the help of an improved algorithm. The performance analysis shows that the proposed system can improve the accuracy and effectiveness for retrieving relevant web documents compared to the existing systems.