UV固化蓖麻油基聚氨酯丙烯酸酯/SiO2杂化材料的制备与性能Q

以异佛尔酮二异氰酸酯（IPDI）、蓖麻油（CO）和丙烯酸羟乙酯（HEA）合成了蓖麻油基聚氨酯丙烯酸酯（COPUA），以正硅酸乙酯（TEOS）和3-(异丁烯酰氧)丙基三甲氧基硅烷（MEMO）通过溶胶-凝胶法制备了改性硅溶胶，作为无机相与COPUA有机相复合得到了UV固化COPUA/SiO2杂化材料。调节MEMO与TEOS的配比得到一系列改性硅溶胶，通过测试确定了MEMO与TEOS的最佳配比为1：1（MT-1）。在此基础上，改变MT-1的添加量得到UV固化COPUA/SiO2杂化材料。用FT-IR、TEM、SEM、TGA等对杂化材料和涂层进行结构表征，测试复合涂层的力学性能和表面性能。当MT-1添加量为COPUA树脂质量的15%时，涂层内部SiO2粒子分布均匀，涂层表面光滑平整，光透过率达到100.2%，硬度为5H，附着力0级，柔韧性1mm；涂膜拉伸强度达到13.52MPa，断裂伸长率为7.49%。     

Electromechanical behavior of hybrid carbon/glass fiber composites with tension and bending

To understand the smart (i.e., good memory) characteristics of hybrid composites of carbon fibers (CFs) and glass fibers (GFs) with epoxy resin as a matrix, the changes in the electrical resistance of composites with tension and on bending were investigated. The electrical resistance behavior of composites under tension changed with the composition of the CF/GF, as well as with the applied strain. The fractional electrical resistance increased slowly with increasing strain within a relatively low strain region. However, with further loading it increased stepwise with the strain according to the fracture of the CF layers. The strain sensitivity of the samples increased with increasing CF weight percentage, and the samples incorporating more than 40 wt % CF showed a strain sensitivity higher than 1.54 for a single CF. The changes in the fractional electrical resistance with bending were not so dominant as those with tension. This difference was attributed to the action of two cancelling effects, which are the increasing and decreasing fractional electrical resistance due to tension and compression with bending, respectively. On recovery from a large applied bending, the fractional electrical resistance decreased slowly with unloading because of the increase of contacts between the fibers that resulted from the reorganization of ruptured CFs during the recovery. Even the composites incorporating a relatively small CF content showed an irreversible electrical resistance with both tension and bending. However, the strain sensitivity being larger with tension than with bending is ascribed to the difference in their mechanical behaviors. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 83: 2447–2453, 2002     

PAIDD: a hybrid P2P-based architecture for improving data distribution in social networks

Rapid growth in social networks(SNs)presents a unique scalability challenge for SN operators because of the massive amounts of data distribution among large number of concurrent online users.A request from any user may trigger hundreds of server activities to generate a customized page and which has already become a huge burden.Based on the theoretical model and analytical study considering realistic network scenarios,this article proposes a hybrid P2P-based architecture called PAIDD.PAIDD fulfills effective data distribution primarily through P2P connectivity and social graph among users but with the help of central servers.To increase system efficiency,PAIDD performs optimized content prefetching based on social interactions among users.PAIDD chooses interaction as the criteria because user’s interaction graph is measured to be much smaller than the social graph.Our experiments confirm that PAIDD ensures satisfactory user experience without incurring extensive overhead on clients’network.More importantly,PAIDD can effectively achieve one order of magnitude of load reduction at central servers.     

基于ADSP-2188的铅酸电池智能管理系统研究

针对铅酸电池单体差异性以及对温度、电流、电压敏感等缺陷,设计基于ADSP-2188的智能管理系统.     

Li NMR, ionic conductivity and self-diffusion coefficients of lithium ion and solvent of plasticized organic-inorganic hybrid electrolyte based on PPG-PEG-PPG diamine and alkoxysilanes

Organic-inorganic hybrid electrolytes based on poly(propylene glycol)-block-poly(ethylene glycol)-block-poly(propylene glycol) bis(2-aminopropyl ether) (D2000) complexed with LiClO₄ via the co-condensation of an epoxy trialkoxysilane and tetraethoxysilane have been prepared and plasticized by a solution of ethylene carbonate (EC)/propylene carbonate (PC) mixture (1:1 by weight). The cross-linked hybrid network shows no solvent exudation and retains a large amount of plasticizer over 70 wt.% in stable state. The in situ built in silica network provides the hybrid electrolytes with good mechanical properties. The ionic conductivity of the dry hybrid electrolyte films was enhanced by two orders of magnitude via plasticization, reaching a maximum conductivity value of 4.0 × 10⁻³ S/cm at 30 °C. Variable temperature ⁷Li-{¹H} magic angle spinning (MAS) NMR demonstrated that the Li⁺ cations can be complexed by the polymer network as well as by the plasticizing solvents, but not with the incorporated silica network. Furthermore, the ⁷Li chemical shift change indicated a progressive change in the lithium coordination from lithium-polymer to lithium-solvent with increasing temperatures. The role of the solvents and the mobility of the lithium ions were investigated by pulsed gradient spin echo (PGSE) NMR measurements to elucidate the behavior of the ionic conductivity.     

融合改造的混合式抽水蓄能与风电联合运行短期调度模型

依托规模庞大的常规水电增建混合式抽水蓄能是加快抽蓄发展的重要途径。相比传统抽蓄电站,融合改造的混合式抽水蓄能电站具有水力联系更紧密、抽-发工况转换更复杂、“量调并重”角色更鲜明等显著特点,为探索其运行模式,本文提出一种融合改造的混合式抽水蓄能与风电联合运行短期调度模型。该模型以联合体整体收益最大为目标,以机组为最小调度单元,针对常规机组和抽蓄机组的差异化运行特性分别精细化建模,并引入状态变量实现运行状态的解耦与关联切换。在模型求解方面,通过线性化方法及建模技巧将原模型转换为混合整数线性规划(Mixed Integer Linear Programming,MILP)模型,最后在JAVA环境中采用CPLEX工具进行求解。以西南某流域电站为参考构建的应用示例验证了本文模型和求解方法的有效性,可为推进常规水电站的融合改造提供借鉴。     

基于超网络的集成工艺决策与调度问题研究

针对多工艺产品的加工路线决策与车间调度方案不能同步制定的问题,在制造车间数字化背景下,提出集成车间不同要素信息的特征—工序—机器—工人的超网络结构,建立基于超网络的加工路线决策与车间调度模型,设计一种集成工艺决策与车间调度的两阶段混合遗传算法求解模型。在工艺决策阶段,设计特征—工序双层矩阵编码染色体保持加工路线的多样性,并在遗传算法的执行过程中使用变邻域搜索方法增强算法的局部搜索能力;在车间调度阶段,采用NSGA-Ⅱ算法优化调度模型,将得到的调度方案多目标值返回至工艺决策阶段用于加工路线的适应度评价。最后通过仿真实验验证了该算法的可行性与有效性。     

基于非平衡数据下不完备混合型信息系统的属性约简

完备混合型信息系统下的粗糙集模型是传统粗糙集模型的重要扩展,目前关于非平衡数据属性约简的研究仅限于完备混合型的粗糙集模型。针对这一问题,提出一种基于不完备混合型信息系统的非平衡数据属性约简。本文首先将传统的粗糙集模型进行推广,提出不完备混合型信息系统下的粗糙集模型;然后针对数据的非平衡性,根据上下边界区域和类分布的不均匀性定义了一种新的属性重要度;在基于区别矩阵的基础上设计出一种非平衡数据的属性约简算法。实验分析表明该算法针对不完备非平衡数据的属性约简具有一定的有效性和优越性。     

基于粗糙集理论的不完备数据分析方法的混合信息系统填补算法

为了提高基于粗糙集理论的不完备数据分析方法（ROUSTIDA）在实际应用中对包含离散型（如整型、字符串型、枚举型）、连续型（如浮点数表达）、缺失型属性的混合信息系统（HIS）数据的填补能力,提出了一种基于粗糙集理论的混合信息系统缺失值填补方法（RSHISMIA）。首先,根据决策属性等价类划分思想并按照决策属性对混合信息系统HIS进行划分,解决了填补后可能出现的决策规则冲突问题;其次,定义混合距离矩阵来合理量化对象间的相似性,从而筛选出具有填补能力的样本并克服ROUSTIDA无法处理连续性属性的缺点;然后,结合近邻思想解决了ROUSTIDA在无差别对象属性值发生冲突情况下无法对相同属性缺失数据进行填补的问题。最后,使用10个UCI标准数据集进行实验,将所提出的方法与ROUSTIDA、K近邻填补（KNNI）算法、随机森林填补（RFI）算法和矩阵分解（MF）等几种经典算法进行了比较。实验结果表明,与ROUSTIDA相比,所提方法在查全率上平均高出81%,在查准率上提升了5%~53%,且其归一化均方根误差（NRMSE）最多减小了0.12。此外,所提方法的分类准确率与ROUSTIDA相比平均提升了7%,且优于KNNI、RFI及MF等填补算法。     

求解0-1背包问题的混合贪婪遗传算法

求解0-1背包问题（KP）的最优解的时候,传统遗传算法（GA）的局部求精能力不足而简单局部搜索算法的全局探索能力有限,针对上述问题,将这两个算法整合并提出了混合贪婪遗传算法（HGGA）。在GA全局搜索框架下增加局部搜索模块,并改进传统仅基于物品价值密度的修复算子,增加基于物品价值的贪婪混合选项,从而加速寻优过程。HGGA一方面引导种群在进化的优质解空间中展开精细搜索,另一方面依靠GA的经典操作算子开拓全局搜索空间,从而达到算法求精能力和开拓能力的良好平衡。HGGA分别在三组数据上做了测试,结果表明在第一组15个测试用例中的12个上,HGGA能够百分百找到最优解,成功率达到80%;在第二组小规模数据集上,HGGA的性能明显好于其他同类GA和其他元启发算法;在第三组大规模数据集上,HGGA较其他元启发式算法具有更好的稳定性和高效性。