On compatibility of uncertain multiplicative linguistic preference relations based on the linguistic COWGA

The aim of this work is to develop a new compatibility for the uncertain multiplicative linguistic preference relations and utilize it to determine the optimal weights of experts in the group decision making (GDM). First, the compatibility degree and compatibility index for the two multiplicative linguistic preference relations are proposed. Then, based on the linguistic continuous ordered weighted geometric averaging (LCOWGA) operator, some concepts of the compatibility degree and compatibility index for the two uncertain multiplicative linguistic preference relations are presented. We prove the property that the synthetic uncertain linguistic preference relation is of acceptable compatibility under the condition that the uncertain multiplicative linguistic preference relations given by experts are all of acceptable compatibility with the ideal uncertain multiplicative linguistic preference relation, which provides a theoretic basis for the application of the uncertain multiplicative linguistic preference relations in GDM. Next, an optimal model is constructed to determine the weights of experts based on the criterion of minimizing the compatibility index in GDM. Moreover, an approach to GDM with uncertain multiplicative linguistic preference relations is developed, and finally, an application of the approach to supplier selection problem with uncertain multiplicative linguistic preference relations is pointed out.     

多酚氧化酶催化单宁的氧化聚合反应研究

研究了多酚氧化酶催化单宁的氧化聚合反应情况 ,探索了反应条件及 7种化合物对酶活性的抑制效果 ,对产物进行了红外光谱和紫外光谱测试 ,相对粘度法测定了产物的分子量。结果表明 ,反应的最佳条件是pH为 5 .2 9,温度为 3 0℃ ,在所用抑制剂中 ,硫酸铜的抑制作用最强 ,与单宁酸的IR图相比 ,产物的 -OH吸收带变窄 ,在 12 60cm-1处吸收峰增强 ,而紫外吸收无变化。产物平均分子量为 3 5 41,说明多酚氧化酶能催化单宁的氧化聚合     

新型绝缘树脂及应用

本文介绍了FUCHEM系列无溶剂绝缘树脂的性能及应用，着重探讨了产品的阻燃、低收缩、高耐腐蚀、高耐热等级等特性。     

新型绝缘树脂的应用

本文介绍了FUCHEM系列无溶剂绝缘树脂的性能及应用，着重探讨了产品的阻燃，低收缩，高耐腐蚀，高耐热等级等特性。     

3D Shape Segmentation and Labeling via Extreme Learning Machine

We propose a fast method for 3D shape segmentation and labeling via Extreme Learning Machine (ELM). Given a set of example shapes with labeled segmentation, we train an ELM classifier and use it to produce initial segmentation for test shapes. Based on the initial segmentation, we compute the final smooth segmentation through a graph‐cut optimization constrained by the super‐face boundaries obtained by over‐segmentation and the active contours computed from ELM segmentation. Experimental results show that our method achieves comparable results against the state‐of‐the‐arts, but reduces the training time by approximately two orders of magnitude, both for face‐level and super‐face‐level, making it scale well for large datasets. Based on such notable improvement, we demonstrate the application of our method for fast online sequential learning for 3D shape segmentation at face level, as well as realtime sequential learning at super‐face level.     

Morphologies and dynamic mechanical properties of core‐shell emulsifier‐free latexes and their copolymers for P(BA/MMA)/P(MMA/BA) and P(BA/MMA)/PSt systems in the presence of AHPS

Different poly(methyl methacrylate/n‐butyl acrylate)/poly(n‐butyl acrylate/methyl methacrylate) [P(BA/MMA)/P(MMA/BA)] and poly(n‐butyl acrylate/methyl methacrylate)/polystyrene [P(BA/MMA)/PSt] core‐shell structured latexes were prepared by emulsifier‐free emulsion polymerization in the presence of hydrophilic monomer 3‐allyloxy‐2‐hydroxyl‐propanesulfonic salt (AHPS). The particle morphologies of the final latexes and dynamic mechanical properties of the copolymers from final latexes were investigated in detail. With the addition of AHPS, a latex of stable and high‐solid content (60 wt %) was prepared. The diameters of the latex particles are ～0.26 μm for the P(BA/MMA)/P(MMA/BA) system and 0.22–0.24 μm for the P(BA/MMA)/PSt system. All copolymers from the final latexes are two‐phase structure polymers, shown as two glass transition temperatures (T_gs) on dynamic mechanical analysis spectra. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 86: 3078–3084, 2002     

Robust event discovery from photo collections using Signature Image Bases (SIBs)

Analyzing personal photo albums for understanding the related events is an emerging trend. A reliable event recognition tool could suggest appropriate annotation of pictures, provide the context for single image classification and tagging, achieve automatic selection and summarization, ease organization and sharing of media among users. In this paper, a novel method for fast and reliable event-type classification of personal photo albums is presented. Differently from previous approaches, the proposed method does not process photos individually but as a whole, exploiting three main features, namely Saliency, Gist, and Time, to extract an event signature, which is characteristic for a specific event type. A highly challenging database containing more than 40.000 photos belonging to 19 diverse event-types was crawled from photo-sharing websites for the purpose of modeling and performance evaluation. Experimental results showed that the proposed approach meets superior classification accuracy with limited computational complexity.     

Anodic dissolution of spongy titanium in ethanol solution for preparation of nano-sized TiO2 powder

Nano-sized TiO₂ powder was prepared by electrochemical dissolution of spongy titanium in an ethanol solution following direct hydrolysis of the electrolyte solution. Characterization of the electrochemical product revealed that Ti(OEt)₄ was formed by anodic dissolution of spongy titanium in ethanol solution. X-ray diffraction and transmission electron microscope were, respectively, used to investigate the structure of TiO₂. This study showed that nano-sized TiO₂ prepared by this method has a structural and thermal stability with a narrow size distribution of 5-10 nm. The optimum electrochemical operating conditions established were a temperature of 333-343 K, current density of 400 A m⁻² and faradaic efficiency of 86%. Experiments showed that this process might be recommended as a promising technique for synthesis of nano-sized powder.     

Stochastic stability of semi‐Markovian jump systems with mode‐dependent delays

Semi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi‐Markovian systems with mode‐dependent time‐variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time‐delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright © 2013 John Wiley & Sons, Ltd.     

孔隙水压力与恒定时间对砂岩变形的实验研究

探讨三峡库水位在145-175 m之间涨落及蓄水时水压对岩（石）体的变形特性影响。以实验为基础,进行了不同轴向应力（1σ=55.54,34.18和12.82 MPa）条件下,周期孔隙水压力（Pmin=2 MPa,Pmax=6 MPa）与上、下限恒定时间（ΔT=120和240 s）作用下砂岩的变形特性实验。通过分析1ε-T与p-T关系曲线和p-1ε滞回曲线,可知：1ε-T砂岩曲线呈连续正弦波形演化,当孔隙水压力加载时,应变减小;上限恒定时,应变持续减小到谷值;卸载时,应变逐渐增大;下限恒定时,应变持续增大到峰值。砂岩p-1ε滞回曲线的2个阶段变化,一是微孔隙压密阶段,未形成明显的滞回曲线;二是孔隙水压力耦合阶段,形成了稳定的滞回曲线,表现形式由疏变密,并且稳定的滞回曲线呈逆时针演化。还对比了不同轴向应力和不同恒定时间条件下,每个p-1ε滞回曲线的四区段（加载段、卸载段、上限恒定段和下限恒定段）的Δε-n关系曲线。