溪洛渡水电站进水口门机液压抓梁系统改造

溪洛渡电站进水口检修闸门、叠梁门、拦污栅均用门机结合液压抓梁进行启闭,运行频繁。而液压抓梁在正常蓄水位下的使用水深达到82 m,因此液压抓梁的密封性、同步性及安全可靠性显得尤为重要。前期使用过程中出现过随行抓梁电缆被拉断、液压泵站进水、穿退销中途停止等故障,对电站的正常运行造成一定威胁。为此,对液压抓梁的密封性、同步性及力矩限制器进行了改造,取得了预期的良好效果。     

石墨烯基气凝胶的制备及油吸附性能研究进展

海上漏油的频繁发生以及采油废水、工业含油污水的大量排放造成水资源大片污染和生态系统平衡的严重破坏。目前，从水体中分离油品和有机污染物已受到越来越多的商业和学术的关注。石墨烯基气凝胶是由二维石墨烯片层组装成的三维宏观材料，因其孔隙率高、比表面积大、密度低、机械性能强等特点在油水分离领域具有广阔的应用前景，已成为当今的研究热点之一。本文结合最新研究进展系统地总结了石墨烯基气凝胶的结构设计、组装及干燥方法，归纳了近年来其在油水分离中的应用进展，并对石墨烯基气凝胶在油水分离领域的研究现状和未来研究方向做了简要评述，以期为该领域的深入探索提供新的视角。     

Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts

The Yellow River Estuary area of China is under great pressure from both human intervention and natural processes. For analysis of the changes in this area, this article presents a novel change-detection method based on a local fit-search model and kernel-induced graph cuts in multitemporal synthetic aperture radar images. Change detection involves assigning a label to every pixel. This task is naturally formulated in terms of energy minimization, which can be effectively solved by graph cuts. The difference image is transformed implicitly by a kernel function so that an alternative to complex modelling of the original data makes the piecewise constant model become applicable for graph cuts formulation. An issue is that graph cuts are sensitive to the initial estimate. The local fit-search model is proposed to approximate to the local histogram while selecting an optimal threshold for the initial labelling, which leads to an effective constraint for graph cuts and computational benefits as well. Visual and quantitative analyses obtained on the Yellow River Estuary data set confirm the effectiveness of the proposed method and that it outperforms the other state-of-the-art methods of change detection.     

利用DD混剂合成丙烯酸-3-氯-2-丙烯酯

为了综合利用DD混剂(1,3-二氯丙烯和1,2-二氯丙烷的混合物),以工业副产品DD混剂为主要原料,使1,3-二氯丙烯与丙烯酸、氢氧化钠反应,合成了丙烯酸-3-氯-2-丙烯酯并分离出1,2-二氯丙烷,并确定了适宜的工艺条件。     

Echo state networks based predictive model of vinyl chloride monomer convention velocity optimized by artificial fish swarm algorithm

Conversion rate in the Polyvinylchloride (PVC) polymerizing process has a certain influence on the molecular weight of PVC, porosity, absorption rate of plasticizer, vinyl chloride monomer (VCM) residue and thermal stability. Therefore, a predictive model based on echo state networks (ESN) method optimized by the artificial fish swarm algorithm (AFSA) is proposed to predict the conversion velocity. Firstly, the hot balancing mechanisms of polymerizer and the influenced factors of convention rate of VCM are analyzed in details. Then the auxiliary variables of the predictive model kernel are selected by using the kernel principal component analysis method for reducing the model dimensionality. Thirdly, the structure parameters of the ESN are optimized by the AFSA to realize the nonlinear mapping between input and output variables of the discussed soft-sensor model. The artificial fish swarm behaviors, such as foraging, swarming, chasing, random, are introduced in details. Finally, simulation results show that the proposed model can significantly enhance the predictive accuracy and robustness of the technical index and satisfy the real-time control requirements of PVC polymerizing production process.     

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.     

HPCS-AM-DAC共聚物的合成及絮凝性能研究

以羟丙基壳聚糖(HPCS)、丙烯酰胺(AM)、丙烯酰氧乙基三甲基氯化铵(DAC)为原料合成三元高分子共聚物(HPCS-AM-DAC)。采用FTIR、1HNMR、XRD、SEM对其结构和形貌进行了表征。考察了反应温度、引发剂硝酸铈铵用量、单体滴加时间及DAC用量对产物阳离子度及特性黏数的影响。结果表明,在水为25 mL、丙烯酰胺为2 g、HPCS为1 g、反应温度70℃、引发剂用量为1.7%(以HPCS质量为基准,下同)、单体滴加时间为35min、DAC为3.5g的条件下,产物的阳离子度和特性黏数均达到较佳值,分别为63.01%和468.81mL/g。采用壳聚糖(CTS)、HPCS、HPCS-AM-DAC及市售阳离子聚丙烯酰胺(CPAM)对高岭土模拟废水进行絮凝实验,考察了絮凝体系pH、不同絮凝产品投加量对浊度去除率的影响。结果表明,在浊度为200NTU的高岭土模拟废水中,HPCS-AM-DAC絮凝的适宜pH为2～6,适宜投加量为2～5 mg/L,在该条件下浊度去除率均在96%以上。     

基于WINCE系统软件开发的内存研究

WINCE系统内存配置较小,嵌入式软件如果出现内存泄露问题,将会导致系统的可用内存不足,甚至出现系统崩溃。为此针对WINCE操作系统内存的管理和应用,通过引入一个在实时更新动态图的过程中出现内存泄露的案例,阐述了关于内存管理和内存应用的重要知识点,包括内存模型和内存分配方式,分析了在该案例中出现内存泄露的原因,提出了与案例中出现的内存泄露相似问题的解决方法,并针对一般情况下如何防止内存泄露作了简单介绍,最后详细阐述了案例中为了优化内存所做的工作,对编程者有很好的指导作用。     

配位插层法制备三聚氰胺-甲醛树脂/Cu2+ -蒙脱石纳米复合材料

采用微波加热溶液交换法分两步将提纯后的天然膨润土转变为Cu2 -膨润土(铜基土),通过三聚氰胺单体与Cu2 -蒙脱石层间Cu2 的配位作用,把三聚氰胺单体引入蒙脱石层间,然后加入甲醛经插层原位聚合制备三聚氰胺-甲醛树脂/Cu2 -蒙脱石纳米复合材料。X-射线衍射结果表明蒙脱石的层间距由1.25 nm增加到1.58 nm,所得产物为三聚氰胺-甲醛树脂/Cu2 -蒙脱石插层型纳米复合材料。     

基于无线传感器网络的安全数据融合技术探究

随着我国信息技术的持续完善和无线传感器网络的不断发展,在无线传感器网络中,安全数据融合技术得到了越来越广泛的应用。本文从对安全数据融合技术进行简析入手,对安全数据融合技术在无线传感器网络中的应用进行了分析。