Efficient data selection for speech recognition based on prior confidence estimation using speech and monophone models

This paper proposes an efficient speech data selection technique that can identify those data that will be well recognized. Conventional confidence measure techniques can also identify well-recognized speech data. However, those techniques require a lot of computation time for speech recognition processing to estimate confidence scores. Speech data with low confidence should not go through the time-consuming recognition process since they will yield erroneous spoken documents that will eventually be rejected. The proposed technique can select the speech data that will be acceptable for speech recognition applications. It rapidly selects speech data with high prior confidence based on acoustic likelihood values and using only speech and monophone models. Experiments show that the proposed confidence estimation technique is over 50 times faster than the conventional posterior confidence measure while providing equivalent data selection performance for speech recognition and spoken document retrieval.     

CPE系列聚合物改性路用沥青

研究了氯化聚乙烯(CPE)系列聚合物体系对改性沥青性能的影响．以及CPE含量、母料比例等对改性沥青的影响。实验结果表明．母炼胶法制备的改性沥青能够取得较好的效果。通过对CPE体系和CPE—g—MAH体系的比较．能直观的看到界面相容性对改性沥青起着至关重要的作用，使改性沥青呈现较好的延度、针入度和软化点。同时。对改性沥青的工艺进行了探索。     

含CO2气体混合物在60℃时的混合性质

测定了６０℃和２－６００ｂａｒ时由ＣＯ２和Ｈｅ、Ａｒ、ＳＦ６以及ＣＨＦ３组成的等分子二元混合物的压缩因子，根据纯物质和混合物的压缩因子计算了压力混合效应和过剩体积。对于真实气体混合性质的描述，本文采用五参数的ＢＡＣＫ方程，方程计算值与实验值符合较好。     

二元混合氯化盐的配制及热物性研究

在太阳能热发电技术中,硝酸盐类相变材料是使用最多的一种相变材料,但其最高使用温度仅为600 ℃,因此找到一种热容量大、工作温度范围宽、热损失低、价格便宜的相变储热材料是目前的研究重点。选取氯化锂和氯化钠两种高温熔盐相变材料按照不同的质量比混合制备了9种二元熔盐混合物,利用差式扫描量热仪（DSC）对其在600 ℃范围内的相变温度和相变潜热进行了研究。实验结果显示：由于氯化钠的熔点较高,当氯化锂和氯化钠的二元混合物中氯化钠的含量较多时,即氯化锂的含量较少时,少量的氯化锂不能将混合物的熔点降低至600 ℃以下,混合材料无法熔化;当氯化钠和氯化锂发生熔融时,无论何种比例其相变温度均保持在540 ℃左右,浮动±15 ℃;以质量配比为90%氯化锂-10%氯化钠的二元混合物的熔融温度与结晶温度相差较大,所以该二元混合熔盐可以应用于太阳能发电的传热和蓄热技术中。     

常见塑料溶解性能研究及其混合物的选择性分离

以常见塑料为原料,以有机物为溶剂,研究了塑料在有机溶剂中的溶解性能,提出了选择性分离混合塑料的方案。结果表明,实验所选用的塑料在有机溶剂中的溶解性能和溶解条件不同;可利用塑料与有机溶剂的相容性差别分离混合塑料。     

NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model

Due to advances in medical research, more and more diseases can be cured nowadays, which largely increases the need for an easy-to-use software in calculating sample size of clinical trials with cure fractions. Current available sample size software, such as PROC POWER in SAS, Survival Analysis module in PASS, powerSurvEpi package in R are all based on the standard proportional hazards (PH) model which is not appropriate to design a clinical trial with cure fractions. Instead of the standard PH model, the PH mixture cure model is an important tool in handling the survival data with possible cure fractions. However, there are no tools available that can help design a trial with cure fractions. Therefore, we develop an R package NPHMC to determine the sample size needed for such study design.     

基质沥青及聚合物改性沥青的老化研究进展

介绍了国内外沥青包括基质和聚合物改性沥青老化性能的研究方法,涉及沥青宏观层次(力学、流变及组分等)和微观层次(波谱分析及显微技术等)上各技术的应用,并比较了各研究方法的优缺点,综述了沥青的老化机理。     

硅烷偶联剂改性乳化沥青的性能研究

研究了硅烷偶联剂改性乳化沥青的基本性能。研究结果表明,硅烷偶联剂改性乳化沥青仍为带正电荷的阳离子乳化沥青,其与矿料的粘附性及储存稳定性明显优于对比样乳化沥青;但硅烷偶联剂会稍微延缓乳化沥青的破乳速度,改性乳化沥青拌和后的沥青混凝土略松散,且略欠光泽。     

Dehydration of tetrahydrofuran by pervaporation using crosslinked PVA/PEI blend membranes

Dense blend membranes were prepared by blending hydrophilic polymers poly(vinyl alcohol) (PVA) and poly(ethyleneimine) (PEI), which were then crosslinked by glutaraldehyde (GA) in a mixture of solvents under the catalysis of hydrochloric acid (HCl) for the dehydration of tetrahydrofuran (THF) by pervaporation. The effect of experimental parameters such as feed water concentration, permeate pressure, and membrane thicknesses on permeate parameters, i.e., flux and selectivity were determined with feed water concentration less than 40 wt %. The membranes were found to have good potential for breaking the azeotrope of 94 wt % THF with a flux of 1.072 and 0.376 kg/m² h for plane PVA/PEI and crosslinked PVA/PEI blend membrane, which exhibited high selectivity of 156 and 579 respectively. Selectivity was found to improve with decreasing feed water concentration and increasing membrane thickness, whereas flux decreased correspondingly. High permeate pressure causes a reduction in both flux and selectivity. These effects were clearly elucidated with the aid of the known relationship among plasticization effect, degree of swelling, permeate pressure, and feed water concentration. These blend membranes were also subjected to sorption studies to evaluate the extent of interaction and degree of swelling in pure as well as binary feed mixtures. Further ion exchange capacity studies were carried out for all the crosslinked and uncrosslinked membranes to determine the total number of interacting groups present in the membranes. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 1152–1161, 2006     

选矿过程精矿品位自适应在线支持向量预测方法

本文提出了一种基于支持向量回归的选矿过程精矿品位自适应在线预测方法,通过使用新的混合核函数和参数在线更新机制提高了精矿品位的预测精度.在分析经典核函数特性后,构造了一种混合核函数以兼顾模型的学习能力与泛化能力,同时为了提高预测方法对选矿生产动态过程的适应性,模型依据新工况样本对现有样本集统计特性的影响,引入了模型参数自适应调整机制,并采用在线迭代学习机制更新模型,提高了模型的计算速度.使用某选矿厂生产实际数据进行实验分析,结果表明本文方法比现有方法在计算时间和预测精度上都有明显优势,适合应用于动态变化的选矿生产过程.