PVC基热塑性弹性体的制备

采用机械共混法制备PVC基弹性体，研究了聚合物的质量配比、增塑剂的用量及增塑剂的配合使用对体系性能的影响，并考察了填料对体系性能的影响。结果表明，通过不同的聚合物质量配比、增塑剂的选择以及不同填料的选用，可制得不同性能的热塑性弹性体。     

水声传感阵列指向性与系统传输性能研究

针对浅海水声通信中水汽界面和海底的反射产生多途效应对信号传输的影响,依据水下声传输原理,分析了水声信道中的噪声特点和产生多途效应机理,研究水声信道中声传感器指向性与传输性能关系,探讨水声传感阵列方式在水下通信环境的优势,设计合理的阵元间连接形式、阵列驱动电路和阻抗匹配电路,保证有效的功率耦合效率。经水下试验测试表明:采用一定指向性的声阵列结构,利用单个阵元波束宽度小于10°,构成阵列结构的波束宽度小于30°,并进行一定阻抗匹配,可减小能量损失,有效提高水声通信系统性能。     

Face detection by structural models

Despite the successes in the last two decades, the state-of-the-art face detectors still have problems in dealing with images in the wild due to large appearance variations. Instead of leaving appearance variations directly to statistical learning algorithms, we propose a hierarchical part based structural model to explicitly capture them. The model enables part subtype option to handle local appearance variations such as closed and open month, and part deformation to capture the global appearance variations such as pose and expression. In detection, candidate window is fitted to the structural model to infer the part location and part subtype, and detection score is then computed based on the fitted configuration. In this way, the influence of appearance variation is reduced. Besides the face model, we exploit the co-occurrence between face and body, which helps to handle large variations, such as heavy occlusions, to further boost the face detection performance. We present a phrase based representation for body detection, and propose a structural context model to jointly encode the outputs of face detector and body detector. Benefit from the rich structural face and body information, as well as the discriminative structural learning algorithm, our method achieves state-of-the-art performance on FDDB, AFW and a self-annotated dataset, under wide comparisons with commercial and academic methods.     

利用废茶制备洁面用品的研究

茶叶中含有茶多酚、氨基酸、茶碱等护肤和洁肤成分 ,将茶提取液添加到洁面用品中 ,使洁面用品既具有洁肤效果 ,又有护肤作用 ,可改善洁面用品的使用感觉 ,提高洁面用品的品质 ,符合化妆品的发展方向。通过实验 ,成功研制了多种性能良好、价格较低的含茶提取液洁面用品 ,为我国废茶的综合利用提供了一种新途径。     

异龙脑愈创木酚合成檀香的制备

以酸性白土为催化剂 ,进行异龙脑与愈创木酚的选择性烷基化反应 ,烷基化反应产物异龙脑基愈创木酚在雷尼镍存在下催化加氢 ,得到合成檀香异莰基环己醇混合物。该工艺所得合成檀香中主要成分含量较高 ,香气纯正 ,粘度较大 ,留香时间长 ,有一定的实用价值。     

Level fast dyeing of wool with nucleophilic amino-alkyl dyes and crosslinking agents-Part 2: using bifunctional crosslinking agents

Covalently binding dyes through reactions between commercially available bi-functional crosslinking agents, wool and aminoethylaminotriazinyl dyes is discussed. In particular, dye fixation, levelness and fastness properties have been assessed and shown to be very promising. The proposed system offers the dyer the opportunity to achieve covalent bonding of the dye to the fibre in a controlled manner, thus ensuring good levelness.     

固相法氯化聚乙烯与聚氯乙烯共混物的形态与性能

研究了聚氯乙烯(PVC)与固相法氯化聚乙烯(CPE)共混物的应力-应变行为和冲击强度对CPE用量和氯含量的依赖关系,考察了共混物形态与性能的关系。动态力学性能和透射电子显微镜的研究结果表明,PVC/CPE为部分相容体系,两相间存在着一定的相互作用,当CPE氯含量为36％～42％,用量为7～15份时,CPE在PVC/CPE共混物中形成比较完整的网络结构、共混物具有更好的抗冲击性能。Brabender流变仪研究表明,CPE能促进PVC的塑化,共混物的加工性优于纯PVC。     

有限元法在建筑卫生陶瓷生产中的应用

有限元法是随着计算机技术的应用而发展起来的一种先进的CAE技术，广泛应用于各个领域中的科学计算、设计、分析中，已成为工程设计和分析中的重要工具。本文在有限元法基本原理的基础上，综述了有限元法在建筑卫生陶瓷生产中的应用情况，分析了有限元的优越性。     

Accelerating sequential programs on commodity multi-core processors

A recently proposed pipelined multithreading (PMT) technique exhibits wide applicability in parallelizing general sequential programs on multi-core processors. However, significant inter-core communication overhead limits PMT performance and prevents its commercial utilization. A simple and effective clustered pipelined multithreading (CPMT) approach is presented to accelerate sequential programs on commodity multi-core processors. This CPMT technique adopts a clustered communication mechanism that can yield very low average communication overhead by eliminating false sharing as well as reducing communication operation and transit delays in the software-only approach. A single-producer/single-consumer concurrent lock-free clusteredQueue algorithm based on a two-level queue structure is also proposed. The accuracy of CPMT is theoretically demonstrated. The performances of the algorithm and CPMT are evaluated on a commodity AMD Phenom four-core processor. The number of enqueue and dequeue times of the algorithm are 20.8 and 23 cycles given an appropriate parameter, respectively. The speedup of CPMT ranges from 13.1% to 119.8% for typical loops extracted from the SPEC CPU 2000 benchmark suite.     

八甲基环四硅氧烷与氨取代基有机硅单体的共聚动力学Ⅱ模型考核与结果讨论

对前文 (I)的共聚动力学模型进行了分析与简化 ,并分别通过对各影响因素的单因素实验和多因素相互作用实验对模型进行了进一步的考核 ,确定了模型参数并通过模型对聚合动力学行为作了说明