Integrated size and topology optimization of skeletal structures with exact frequency constraints

The present paper studies the integrated size and topology optimization of skeletal structures under natural frequency constraints. It is found that, unlike the conventional compliance-oriented topology optimization problems, the considered problem may be strongly singular in the sense that the corresponding feasible domain may be disconnected and the global optimal solutions are often located at the tips of some separated low dimensional sub-domains when the cross-sectional areas of the structural components are used as design variables. As in the case of stress-constrained topology optimization, this unpleasant behavior may prevent the gradient-based numerical optimization algorithms from finding the true optimal topologies. To overcome the difficulties posed by the strongly singular optima, some particular forms of area/moment of inertia-density interpolation schemes, which can restore the connectedness of the feasible domain, are proposed. Based on the proposed optimization model, the probability of finding the strongly singular optimum with gradient-based algorithms can be increased. Numerical examples demonstrate the effectiveness of the proposed approach.     

Toward inference attacks for k-anonymity

Current research still cannot effectively prevent an inference attacker from inferring privacy information for k-anonymous data sets. To solve the issue, we must first study all kinds of aggressive reasoning behaviors and process for the attacker thoroughly. Our work focuses on describing comprehensively the inference attack and analyzing their privacy disclosures for k-anonymous data sets. In this paper, we build up a privacy inference graph based on attack graph theory, which is an extension of attack graph. The privacy inference graph describes comprehensively the inference attack in k-anonymous databases by considering attacker background knowledge and external factors. In the privacy inference graph, we introduce a concept of valid inference path to analyze the privacy disclosures in face of inference attack. According to both above, we design an algorithm to compute the n-valid inference paths. These paths can deduce some privacy information resulting in privacy disclosure. Moreover, we study the optimal privacy strategies to resist inference attack by key attribute sets and valid inference paths in the attack graph. An approximate algorithm is designed to obtain the approximate optimal privacy strategy set. At last, we prove the correctness in theory and analyze the performance of the approximate algorithm and their time complexity.     

抗冲聚丙烯结构与性能研究

对部分国内外抗冲聚丙烯(PP)产品进行了微观形态和结构分析，研究其对材料宏观力学性能的影响。实验结果表明：抗冲PP是一个含有PP均聚物、丙烯与乙烯-丙烯两嵌段共聚物、乙丙橡胶(EPR)、聚乙烯均聚物等的多相体系。EPR的分子序列结构对聚合物抗冲击性能起主要作用。在序列结构中，丙烯、乙烯单体在分子链上的位置交换越频繁，抗冲击性能越得到提高。丙烯序列平均长度的增大对抗冲击性能有一定的削弱作用。     

智能手机点击劫持攻击检测方法研究

点击劫持通过欺骗用户点击经过伪装的界面元素达到攻击目的。移动互联网环境下,智能手机的屏幕特征、手势识别、HTML5支持度高等特性成为点击劫持新的利用点。深入分析并实验验证智能手机脆弱特性,在此基础上提出点击劫持在智能手机上的潜在攻击方案。进而设计并实现一套有针对性的检测方案。该方案从静态页面和动态行为两个角度提取攻击特征,并进行基于规则的量化评估与组合判定。实验结果表明该方案可以有效地降低传统页面特征检测方案的漏报和误报情况。     

用稳态法测量轮胎橡胶复合材料的导热系数

利用稳态法测试了4种轮胎橡胶复合材料的导热系数，在测试温度范围内，实验结果与温度线性相关。对误差进行了分析，并用校核实验验证了实验装置的准确性和精确性。     

古马隆树脂型聚氨酯防水涂料

介绍一种以古马隆树脂改性的新型双组分聚氨酯防水涂料，并对其原材料的选择、配方、生产工艺等方面进行了研究。     

RTV有机硅密封胶的耐介质性

通过介质浸泡试验研究了水、机油、汽油对有机硅密封胶的影响，采用初期耐压性衡量其密封性。试验表明，有机硅密封胶具有优异的耐水性和耐油密封性，但耐汽油性较差；重质碳酸钙可提高其耐油性，有机硅密封胶中的增塑剂在油类介质中会发生迁移。该类密封剂可用作机械部的就地成形垫圈。     

[Zn(BDC)(H2O)2]n: a novel blue luminescent coordination polymer constructed from BDC-bridged 1-D chains via interchain hydrogen bonds (BDC = 1,4-benzenedicarboxylate)

A novel coordination polymer [Zn(BDC)(H₂O)₂]_n 1 (where BDC = 1,4-benzenedicarboxylate), has been synthesized and characterized by X-ray diffraction. 1 crystallizes in the monoclinic space group C2/c, a=15.09(2) Å, b=5.058(7) Å, c=12.196(16) Å, β=103.62(2)°, , Z=4. The most striking feature of 1 is that it consists of a high-dimensional network structure constructed from BDC-bridged 1-D chains via interchain hydrogen bonds. The coordination sphere of the zinc(II) ion is a distorted tetrahedron completed by four oxygen atoms from two water molecules and two BDC ligands. BDC adopts the bis-monodentated (syn–anti) coordination mode linking two adjacent zinc(II) ions. 1 shows strong blue photoluminescence as the result of the fluorescence from the intraligand emission excited state.     

基于概率主题模型的物联网服务发现

针对物联网中服务数量的大规模性、服务描述的异构性以及设备服务的资源高度受限性和移动性等特点,提出了一种基于概率主题模型的物联网服务发现方法.该方法的主要特点是：1） 利用英文Wikipedia 构建高质量的主题模型,并对类似短文本的服务文本描述进行语义扩充,使主题模型能够更有效地估计服务文本描述的隐含主题;2） 提出利用非参数主题模型学习服务文本的隐含主题,降低模型训练时间;3） 利用服务隐含主题对服务进行自动分类和文本相似度计算,快速减少服务匹配数量,加速服务文本相似度计算;4） 提出能够同时支持WSDL-based 和RESTful 两种物联网服务的signature 匹配算法.实验结果表明：与现有的物联网服务发现方法相比,该方法的准确率（precision）和归一化折损累积增益（NDCG）都有较大幅度的提高.     

电子封装用环氧树脂的增韧和提高耐热性研究

用α,ω 二氯聚二甲基硅氧烷(DPS)或α 氯聚二甲基硅氧烷(CPS)来改性普通双酚A环氧树脂(BPAER)和四溴双酚A环氧树脂(TBBPAER),目标是制备出一系列可用于电子封装的高韧性高耐热性的环氧基料。通过对固化物的冲击强度、拉伸强度、断裂伸长率和玻璃化转变温度(Tg)以及断裂面形态的测定,探讨了改性方法、有机硅组成与含量等对材料性能的影响。结果表明,当m(BPAER)∶m(DPS)=100∶10时,树脂固化物的冲击强度达到30 5kJ/m2,拉伸强度达46 95MPa,断裂伸长率达到60 23%,Tg达到141 3℃;分别比未改性BPAER提高了19 7kJ/m2,1 69MPa,54 29%以及5 9℃。而当m(TBBPAER)∶m(CPS)=100∶10时,固化物的冲击强度达到17 2kJ/m2,拉伸强度达39 89MPa,断裂伸长率达到5 60%,Tg达到147 0℃;分别比未改性TBBPAER提高了12 8kJ/m2,28 26MPa,4 29%以及7 9℃。