非线性耗散型Schrodinger方程的惯性分形集

证明了非线性耗散型Schrodinger方程初边值问题的解半群S(t)的Lipschitz连续性和挤压性,得到了惯性分形集的存在性。     

顾客满意度评价体系的建立及应用

介绍了顾客满意度评价体系的构建,该体系包括评价指标的构成、权重确定、顾客对评价指标态度的量化等,采用主观赋权等方法确定各评价指标的权重,将顾客对评价指标态度分为五个等级,并通过多层加权方法,给各等级相应赋值。通过对莱钢某产品顾客满意度定量测评,说明该评价体系对挖掘顾客价值取向、指导企业经营改进、开拓市场等方面的作用,并对该评价体系的运用作了进一步的探讨与思考。     

储层流动单元研究新技术在油田开发中的应用

流动单元研究提供了精细解剖砂体,表征砂体内部非均质性的新方法。本文在传统流动单元划分的基础上应用流动带指标新方法(F z)进行储层流动单元的定量划分,为合理进行油田开发动态分析提供依据,同时开辟了一个可预测可操作的有效流动单元研究方法。     

激光处理对油松种子活力指数的影响

用激光分别处理油松干、湿种子,干种子发芽率与活力指数分别为对照组的 １３６％ 和 １６７％ ,浸水 ３６ｈ后的湿种子发芽率与活力指数分别为对照组的 １３７％ 和 １５９％ 。     

拓扑集成指数与TIBO类衍生物构效关系的研究

4H-甲基咪唑苯二氮(?)酮(TIBO)类衍生物是抗爱滋病的一种新药,分子连接性指数是经证明应用广泛、较为成功的一种指数,本文定义并计算了TIBO类衍生物原子的特征值δi,利用量子化学计算方法,建构新的拓扑集成指数G和分子连接性指数mX,基于多元回归技术建立的对TIBO类衍生物药物的油水分配系数,作出精确估算和预测的定量结构-活性相关关系,得到的多元回归方程为:logP=0.782 G-0.1430X 0.2312X-3.829,估算的平均相对误差为2.53%。为了检验模型的稳定性和预测能力,做了留一法交互校验,预测平均相对误差为3.40%。该模型相关系数高,稳定性好,预测能力强。     

程序升温条件下煤炭自燃特性

通过程序升温实验研究了煤炭的自燃特性,测定了不同粒度煤样在不同温度下产生CO,CO₂等气体的浓度.讨论了指标气体的选择,分析了CO,CO₂等气体浓度随温度的变化规律,得到了耗氧速度与煤温及煤体粒度的关系.结果表明,煤体粒度越小,温度越高,则煤氧复合的强度越大.本实验的研究结果对煤矿火灾的防治具有指导作用.     

Optimal robot positioning using task-dependent and direction-selective performance indexes: General definitions and application to a parallel robot

Performance evaluation is an important issue for optimal robot positioning within workcells. Performance indexes can provide essential contributions to such an evaluation, in particular if they can account for the specific task with respect to which the optimization is carried out.     

火力发电厂性能指标一致化问题的思考和建议

针对火力发电厂纯凝汽式机组主要性能指标计算的影响因素,结合国内外不同标准对于机组工况的定义,提出了性能指标计算取值过程当中存在的工况不一致的问题,分析了问题存在的原因,提出了解决问题的建议。     

Determination of sieve grading curves using an optical device

The grading curve of an aggregate is a fundamental characteristic for mix design that can easily be modified to adjust several mix properties. While sieve analysis remains the reference method to determine this curve, optical devices are developing, allowing easier and faster assessment of aggregate grading. Unfortunately, optical grading results significantly differ from sieve grading curves. As a consequence, getting full acceptance of these new methods requires building bridges between the various particle size measurement systems. In order to build the sieve grading curve of an aggregate sample from video image analysis, a new model using images captured by a single camera device has been developed. This model has been tested on different samples stemming from four quarries with various petrography and flakiness index. For the 10/12.5, 12.5/16, 10/16 and 10/25 size fractions, the difference between actual sieve grading curve and optical grading curve is smaller than 7%. For the 6.3/10 fraction, the maximum difference between the two grading curves is equal to 15%. This difference could mainly be explained by parasitical rotation of small particles before image capture.