03Cr21Ni14Mn5Mo3N不锈钢动态力学性能和本构关系

以准静态压缩性能作为参考,通过气枪式霍普金森压杆试验,研究了03Cr21Ni14Mn5Mo3N不锈钢在常温20℃和低温-40℃两种环境条件下的动态力学性能,并基于Johnson-Cook本构模型建立了03Cr21Ni14Mn5Mo3N不锈钢本构关系。结果表明,准静态及高应变率下,03Cr21Ni14Mn5Mo3N不锈钢的强度均随着温度的降低呈升高趋势;与准静态相比,03Cr21Ni14Mn5Mo3N不锈钢在高应变率下显示出明显的应变率硬化效应;在1 500/s~4 000/s高应变率范围内,随应变率的增加,钢板动态强度略有增加,但应变率硬化效应不明显。     

新型太阳能混合吸收式制冷系统的蓄能研究

根据太阳能混合吸收式制冷循环的特点，提出一种可用于该循环的新型高效蓄能系统。分析该系统的工作原理及特性，并与传统的蓄热方式和蓄冷方式蓄能系统进行性能比较分析，在相同蓄冷量情况下，新型蓄能系统的蓄能体积是传统系统蓄能体积的1／10以下，从而为促进蓄能装置小型化、推动小型太阳能空调的商品化提供理论依据。     

碱溶法从锂云母中提取锂转化部分工艺研究

研究了碱溶法从锂云母中提取锂的转化工艺。结果表明,将锂云母粉与浓度为50%的氢氧化钠溶液,按3.5∶1的液固比,在190℃的耐压反应釜中反应4h,锂的转化率可达98%以上。     

NiZn软磁材料的制备方法

叙述了采用普通干压方法制备镍锌软磁材料的工艺制备的材料可用于生产ＣＡＴＶ器件,也可作调频收音机的电感元件。     

一种改进的特征提取方法在语音识别中的应用

针对梅尔频率倒谱系数(MFCC)参数在噪声环境中语音识别率下降的问题,提出了一种基于耳蜗倒谱系数(CFCC)的改进的特征参数提取方法.提取具有听觉特性的CFCC特征参数;运用改进的线性判别分析(LDA)算法对提取出的特征参数进行线性变换,得到更具有区分性的特征参数和满足隐马尔可夫模型(HMM)需要的对角化协方差矩阵;进行均值方差归一化,得到最终的特征参数.实验结果表明:提出的方法能有效地提高噪声环境中语音识别系统的识别率和鲁棒性.     

海相及湖相碳酸盐岩储层预测——层序地层学技术在储层预测中的应用

碳酸盐岩是非常重要的一类储层 ,应用层序地层学分析方法对碳酸盐岩有效储层进行预测是实用而有效的 ,地震参数分析方法是有效储层预测的补充方法。总体上极为致密的碳酸盐岩中 ,溶蚀性孔洞是有效储层形成的关键因素 ,而溶蚀性孔洞的发育和沉积相密切相关。在下侏罗统大安寨段湖相介屑灰岩储层的预测中 ,层序地层学储层预测方法成功地得到了运用。使用同样方法对SZ地区下三叠统飞仙关组鲕滩储层、石炭系黄龙组白云岩储层的展布作了全面的分析和预测 ,预测结果基本为钻井所证实 ,研究结果已经用于实际勘探和开发部署     

土壤中1Cr13不锈钢的某些腐蚀行为研究

用埋设试件的方法,研究了１Ｃｒ１３不锈钢在酸性、中性及碱性土壤中,经过１、３、５年三个试验周期后的腐蚀行为特征。结果表明,１Ｃｒ１３不锈钢在酸性及中性土壤中腐蚀轻微,在高盐碱性土壤中腐蚀严重,而且以点蚀为主。土壤中Ｃｌ－及ＳＯ２－４是影响１Ｃｒ１３不锈钢腐蚀的最主要因素,随着土壤中Ｃｌ－及ＳＯ２－４增多,１Ｃｒ１３不锈钢的腐蚀失重近似线性增大     

一种高效地实现运动估计算法的VLSI结构

本文提出了一种全新的低延滞、高吞吐率、可编程的ＶＬＳＩ树型结构，它能十分有效地实现ＦＳＡ和ＴＳＳＡ运动估计算法。该结构比其它树型结构少１／３的处理单元（ＰＥ），而且ＰＥ单元的延时减少一半。独特的ＭＥ窗缓冲结构使Ｉ／Ｏ带宽和Ｉ／Ｏ管脚大大减小，交叉流水线技术使硬件利用率可达到１００％。这些特点使得该结构适合ＶＬＳＩ实现。     

Approximate K-Median of Location Streams with Redundancy and Inconsistency

Data streams produced by positioning systems such as Global Positioning System (GPS) or RFID readers can be considered as location streams[12]. Location streams are usually generated in a distributed fashion by a large scale distributed system covering a wide range of areas. Computing on distributed location streams is both practically useful and theoretically challenging. The results of computation could be used to schedule the traffic in a metropolis to avoid traffic jam, dispatch taxis to serve the passengers more quickly and display the current position of goods in supply chain management, etc. Since location streams are usually generated with very high rate in uncertain ways over hostile environments, the collected updates of location are probably redundant and inconsistent in a wide positioning system. To process distributed location streams with redundancy and inconsistency, this paper proposes a novel method based on min-wise hash. With this method, redundant updates of distributed location streams can be effiectively filtered out, while the true location could be derived from inconsistent ones. Consequently, globally uniform samples can be obtained. Based on the uniform samples, an algorithm for computing the approximate k-median of huge number of moving objects is presented in this paper. Furthermore, it is demonstrated that sketch-based methods are not necessarily effiective in processing location streams with redundancy and inconsistency. In addition to theoretical analysis, some extensive experiments are conducted to validate the efficiency and effiectiveness of the proposed approach.