A novel Minkowski-distance-based consensus clustering algorithm

Consensus clustering is the problem of coordinating clustering information about the same data set coming from different runs of the same algorithm. Consensus clustering is becoming a state-of-the-art approach in an increasing number of applications. However, determining the optimal cluster number is still an open problem. In this paper, we propose a novel consensus clustering algorithm that is based on the Minkowski distance. Fusing with the Newman greedy algorithm in complex networks, the proposed clustering algorithm can automatically set the number of clusters. It is less sensitive to noise and can integrate solutions from multiple samples of data or attributes for processing data in the processing industry. A numerical simulation is also given to demonstrate the effectiveness of the proposed algorithm. Finally, this consensus clustering algorithm is applied to a froth flotation process.     

基于元数据的数据交换系统任务模型

ETL包含数据的抽取、转换、加载三个部分,是构建数据仓库的重要环节。为解决异构数据源集成问题,本文提出了基于元数据的数据交换系统,并在该基础上阐述了数据交换系统中的任务设计模型和任务调度模型。最后介绍了数据交换系统中的主要算法以及设计模式。     

带可变随机函数和变异算子的粒子群优化算法

标准粒子群优化算法的收敛分析表明,改变随机函数、个体历史最优,群体全局最优,有助于提高该算法的性能。为此,本文提出了一种带可变随机函数和变异算子的粒子群优化算法,即通过改变速度更新方程中的随机函数分布来调节粒子在迭代过程中飞向个体历史最优和群体全局最优的比重,通过对个体历史最优和群体全局最优进行变异来增强种群的搜索能力。实验结果证实了该算法的有效性。     

有色冶金净化过程建模与优化控制问题探讨

净化过程是有色金属湿法冶炼的关键工序.它通过置换沉淀的方式去除有色金属矿物浸出液中的杂质金属离子,为后续电解过程提供高纯度的金属电解液,其控制效果直接影响最终金属产品的质量、生产成本以及生产全流程的稳定性.目前,入矿来源混杂、反应机理复杂等因素制约了净化过程的高效和绿色生产.从净化过程工艺与反应机理的特点出发,提炼了净化过程各除杂工段在建模和优化控制中的共性问题,对净化过程建模与优化控制方法的研究现状进行了综述,并以湿法炼锌净化过程为例,较详细地介绍了在沉铁、除铜、除钴工序建模和优化控制方面的最新研究成果.最后结合自动化技术的发展新动向,对湿法冶金净化过程自动化的未来发展趋势进行了展望.     

湿法炼锌沉铁过程氧化速率优化控制

湿法炼锌沉铁过程针铁矿沉淀形成的条件要求苛刻, 亚铁离子的氧化速率必须控制在合理的范围内才能保证溶液中的铁离子以针铁矿形式除去. 本文在沉铁过程动态模型的基础上, 根据针铁矿沉淀形成的条件和结合流程工艺要求, 优化设定每个反应器出口的亚铁离子浓度, 进而建立针铁矿法沉铁过程氧化速率优化控制模型. 采用控制参数化方法将最优控制求解问题转化为非线性规划, 通过状态转移优化算法求取最优的氧气和氧化锌控制率, 以合理控制沉铁过程亚铁离子的氧化速率. 仿真结果表明, 优化控制模型计算所得的控制量不仅可以保证反应过程的氧化速率符合生成针铁矿沉淀的条件, 而且可以稳定生产流程.     

Resveratrol Attenuates Acute Inflammatory Injury in Experimental Subarachnoid Hemorrhage in Rats via Inhibition of TLR4 Pathway

Toll-like receptor 4 (TLR4) has been proven to play a critical role in neuroinflammation and to represent an important therapeutic target following subarachnoid hemorrhage (SAH). Resveratrol (RSV), a natural occurring polyphenolic compound, has a powerful anti-inflammatory property. However, the underlying molecular mechanisms of RSV in protecting against early brain injury (EBI) after SAH remain obscure. The purpose of this study was to investigate the effects of RSV on the TLR4-related inflammatory signaling pathway and EBI in rats after SAH. A prechiasmatic cistern SAH model was used in our experiment. The expressions of TLR4, high-mobility group box 1 (HMGB1), myeloid differentiation factor 88 (MyD88), and nuclear factor-κB (NF-κB) were evaluated by Western blot and immunohistochemistry. The expressions of Iba-1 and pro-inflammatory cytokines in brain cortex were determined by Western blot, immunofluorescence staining, or enzyme-linked immunosorbent assay. Neural apoptosis, brain edema, and neurological function were further evaluated to investigate the development of EBI. We found that post-SAH treatment with RSV could markedly inhibit the expressions of TLR4, HMGB1, MyD88, and NF-κB. Meanwhile, RSV significantly reduced microglia activation, as well as inflammatory cytokines leading to the amelioration of neural apoptosis, brain edema, and neurological behavior impairment at 24 h after SAH. However, RSV treatment failed to alleviate brain edema and neurological deficits at 72 h after SAH. These results indicated that RSV treatment could alleviate EBI after SAH, at least in part, via inhibition of TLR4-mediated inflammatory signaling pathway.     

酸化缓蚀剂曼尼希碱缓蚀机理的电化学研究

由苯乙酮、甲醛及二乙胺合成了曼尼希碱,用电化学方法考察了该曼尼希碱在15%盐酸中对P110钢的缓蚀作用。20℃下的极化曲线表明P110钢在盐酸中发生阳极活性极化过程,随该曼尼希碱加入量的增大(0～1.0%),腐蚀速率减小,自腐蚀电位正移,表明该曼尼希碱为抑制阳极过程为主的缓蚀剂;EIS谱表明该曼尼希碱在钢表面形成的保护膜随温度升高(20～80℃)而减弱;随该曼尼希碱加入量增大而增强。用电化学方法测定的P110钢在15%盐酸中的腐蚀速率,在不加该曼尼希碱时随温度升高而急剧增大,20℃时为2.796g/m2.h,80℃时高达493.4g/m2.h,在同一温度下随曼尼希碱加量增大而减小,同一曼尼希碱加量下的缓蚀率随温度升高而增大,即该曼尼希碱的缓蚀效率随温度升高而增大。图6表2参5     

An ε-twin support vector machine for regression

A special class of recurrent neural network termed Zhang neural network (ZNN) depicted in the implicit dynamics has recently been introduced for online solution of time-varying convex quadratic programming (QP) problems. Global exponential convergence of such a ZNN model is achieved theoretically in an error-free situation. This paper investigates the performance analysis of the perturbed ZNN model using a special type of activation functions (namely, power-sum activation functions) when solving the time-varying QP problems. Robustness analysis and simulation results demonstrate the superior characteristics of using power-sum activation functions in the context of large ZNN-implementation errors, compared with the case of using linear activation functions. Furthermore, the application to inverse kinematic control of a redundant robot arm also verifies the feasibility and effectiveness of the ZNN model for time-varying QP problems solving.     

基于分数阶的多向微分算子的高炉料面轮廓自适应检测

高炉料面图像含有丰富的高炉炉况信息,高炉料面轮廓能直接反映料面的凹凸起伏、煤气流分布以及炉况等信息,但高炉料面图像具有对比度低、细节不明显和有强亮斑等特点,使得高炉料面轮廓检测十分困难.本文提出一种新型的高炉料面轮廓检测方法：1）对高炉料面图像进行预处理,增强图像动态范围和图像边缘信息;2）采用分数阶的多向微分算子提取一组料面轮廓可行域;3）用自适应方法确定最佳分数阶阶次,获得可行域中最优的料面轮廓曲线;4）用改进的Canny算子对其进行修正和补偿,得到连续准确的料面轮廓曲线.理论研究和实验结果表明,该方法可准确获取平滑的高炉料面轮廓,对高炉操作人员及时有效调控布料具有很好的参考价值.     

针铁矿法沉铁过程亚铁离子浓度预测

针对针铁矿法沉铁过程出口亚铁离子浓度离线化验获得,存在很大滞后性,难以实现沉铁过程实时控制的问题,研究反应器出口亚铁离子浓度在线预测方法.本文在分析沉铁过程化学反应机理的基础上,考虑铜离子对反应过程的影响,结合连续搅拌反应器（Continuous stirred tank reactor,CSTR）特性,建立了针铁矿法沉铁过程的机理模型,并提出了基于信息交换的双粒子群搜索算法（Double particle swarm optimization,DPSO）优化选择机理模型的参数,构建基于最小二乘支持向量机（Least squares support vector machine,LS-SVM）的机理模型输出误差的补偿模型,采用并联补集成方式建立了亚铁离子浓度的集成预测模型.工业现场数据验证了所建模型能有效地反映亚铁离子浓度的变化趋势,为针铁矿法沉铁过程的优化控制奠定了基础.