我国轮胎产业的状况与展望

着重叙述了我国轮胎产业规模与结构,十大名牌企业代表我国轮胎业最好水平,国内企业形式是国有、国有控股、民营、台资、外资各种形式并存.提出我国企业应形成合理的经济规模,才能实现更大的效益增长.我国轮胎产量逐年提高,子午化率也提高较快.轮胎品质还有待提高,应增强自主开发能力.轮胎的进口价格远高于我国轮胎出口价格,指出只有不断创新,才能使我国成为轮胎出口强国.只要轮胎企业抓住机遇,未来的中国轮胎业将会有更广淘的发展空间.     

我国聚氯乙烯塑料门窗的现状与发展战略

简述了国内外PVC塑料门窗的发展概况 ,指出在中国入世后我国塑料门窗行业面临着新的挑战和机遇 ,一方面我国经济快速稳定的发展带动了塑料门窗产品需求的稳定增长 ;另一方面我国塑料门窗产品在品种、质量和技术服务等方面同国外相比存在一定的差距。提出了一些对策及看法     

建筑装饰陶瓷饰面砖的应用与发展

分析建筑装饰陶瓷饰面砖的装饰特点，针对陶瓷饰面砖自重大、易脱落、装饰效果受装饰施工技术及质量的影响等问题，提出陶瓷饰面砖的发展应注重适应装饰施工技术及应用而进行产品的技术创新。     

离心机进料技术的改进

通过对离心机进料管线的改进，采用套管式进料管线，浆料泵直接进料的方式，稳定了离心机的电流，防止PVC树脂堵塞管线，达到增强离心机脱水能力的目的。     

THE SUM OF FINITE MOVING AVERAGE PROCESSES

Abstract. It is well known that the sum of moving average processes is itself a moving average process. Existing theory does not provide formulae relating the innovations in the sum process to those in the component processes when some zeros of the autocovari-ance function of the sum process are on the unit circle. This gap is filled here by first showing that these zeros are necessarily shared by the component processes. Conditions for the innovations in the sum process to be current are given. Throughout the paper contemporary innovations in the component processes are allowed to be correlated, replacing the usual assumption that they are uncorrelated.     

用循环经济理念自主创新治理DSD酸氧化废水的新路

本文阐述了在循环经济理论指导下,依靠科技进步自主创新改革氧化工艺,开创了治理DSD酸氧化废水的新路:源头上减少资源的投入,实现″减量化″;末端采用资源化处理技术,回收废水中有用的资源,实现″再利用″、″再循环″。成功的解决了曾经困扰DSD酸行业发展的老大难问题,促进了我国DSD酸工业的发展,从DSD酸生产和出口大国正发展成为强国。     

氯碱盐水生产过程的技术改进及效果

介绍了盐水生产过程中的各项改进措施及改进效果。改进后,精盐水质量稳步提高,同时降低了氯碱生产总成本,优化了生产环境。     

基于灰色关联分析的科研机构科技创新能力评价研究

通过采集科研院所有效数据并选取相应指标,采用改进的灰色关联分析方法,计算出各个指标与特征序列指标的关联度,同时分析其与科技创新能力综合评价之间的关联性,进而建立合理有效的评价指标体系,为科学、合理地评价科研院所技术创新能力提供理论指导,从而更有效地促进科研院所技术创新工作不断迈向新台阶。     

高纯盐酸的合理生产

介绍了“三合一”石墨炉法生产高纯盐酸工艺的改进,确定了最佳工艺流程。结合生产实际提出了注意事项和操作要点。     

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

This paper addresses the optimal least-squares linear estimation problem for a class of discrete-time stochastic systems with random parameter matrices and correlated additive noises. The system presents the following main features: (1) one-step correlated and cross-correlated random parameter matrices in the observation equation are assumed; (2) the process and measurement noises are one-step autocorrelated and two-step cross-correlated. Using an innovation approach and these correlation assumptions, a recursive algorithm with a simple computational procedure is derived for the optimal linear filter. As a significant application of the proposed results, the optimal recursive filtering problem in multi-sensor systems with missing measurements and random delays can be addressed. Numerical simulation examples are used to demonstrate the feasibility of the proposed filtering algorithm, which is also compared with other filters that have been proposed.