粒子群优化算法在水库调度中的应用

基于水库优化调度常用优化方法存在的不足,本文根据水库优化调度的数学模型,将粒子群优化算法运用到水库优化调度中。该算法通过个体间的协作与竞争,实现复杂空间中最优解的搜索分析,具有计算简便,收敛速度快等优点。将混沌优化算法运用到水库调度中,并与其它优化方法比较,获得了较为满意的结果。     

Transitional phenomenon of particle dispersion in gas-solid two-phase flows

Without using any turbulent model, direct numerical simulation of a three-dimensional gas-solid two-phase turbulent jet was performed by finite volume method. The effects on dispersion of particles with different Stokes numbers by the transitional behavior of turbulent structures were investigated. To produce high-resolution results and reduce the computation and storage, the fractional-step projection algorithm was used to solve the governing equations of gas phase fluid. The low-storage, three-order Runge-Kutta scheme was used for time integration. The governing equations of particles were solved in the Lagrangian framework. These numerical schemes were validated by the good agreement be-tween the statistical results of flow field and the related experimental data. In the study of particle dis-persion, it was found that the effects on particle dispersion by the spanwise vortex structures were prominent. The new behaviors of particle dispersion were also observed during the evolution of the flow field, i.e. the transitional phenomenon of particle dispersion occurs for the particles with small and intermediate Stokes numbers.     

Energetic particle radiations measured by particle detector on board CBERS-1 satellite

Using the data measured by energetic particle detector on board CBERS-01 and -02 for the past five years, statistics was made to show the general features of MeV electrons and protons along a solar synchronous orbit at an altitude of 780 km. This height is in the bottom region of the Earth's radiation belts. Detectors are inside the satellite cabinet and such continuous monitoring of particle radiation environment inside a satellite has seldom conducted so far. After a proper and careful treatment, it is indicated that the data inside satellite are well correlated with the radiation environment outside. Be-sides the agreement of the general distribution characteristics of energetic electrons and protons with similar observations from other satellites, attention is particularly paid to the disturbed conditions. Variations of particle fluxes are closely related with solar proton events, in general, electron fluxes of outer belt are well correlated with Dst index after three days' delay while the electron injection occurred almost at the same day during great magnetic storms. It is confirmed that both energetic electrons and protons appear in the Polar Cap region only after the solar proton events.     

从RBF核函数中抽取关联分类规则

目的为解决SVM分类器的分类模式难以为人类专家所理解等问题而提出一种有关InterRBF算法的新思路。方法通过将RBF核函数将其展开成麦克劳林级数,并从展开式中挖掘对分类分析起重要作用的关联规则,从而在SVM的分类模式中学习出关联规则分类器。结果改进后的SVM分类器具有较好的分类准确度;改变了当前研究从SVM的分类模式中抽取规则的方法仅限于IF-TEHN规则或者学习出决策树的状况。结论从RBF核函数抽取关联分类规则,对于在难以理解的知识中提取可理解的表达规则是可行的方法。     

论高校实验室软件建设

高校实验室的软件建设,涉及实验室硬件运行的质量和效率,关系到实验室资源的优化配置和持续发展。文章从实验室管理制度、实验室队伍、实验室方法、实验室间的联合运作及外部联系五个方面,提出了相应的建设思路和应用策略,总结了实验室软件建设在整个实验室建设中的重要地位。     

浅论高校学生社团建设与发展

社会主义市场经济的发展要求人才具备一专多能的综合素质,高校学生社团是大学生培养实践能力、锻炼综合素质的主要载体,如何将学生社团管理好、发展好,对于高校校园文化建设、培养复合型人才显得尤其重要。     

Research on spatial association rules mining in two-direction

In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships between the attributes and the tuples, and most of the associations occur between the tuples, such as adjacent, intersection, overlap and other topological relationships. So the tasks of spatial data association rules mining include mining the relationships between attributes of spatial objects, which are called as vertical direction DM, and the relationships between the tuples, which are called as horizontal direction DM. This paper analyzes the storage models of spatial data, uses for reference the technologies of data mining in transaction DB, defines the spatial data association rule, including vertical direction association rule, horizontal direction association rule and two-direction association rule, discusses the measurement of spatial association rule interestingness, and puts forward the work flows of spatial association rule data mining. During two-direction spatial association rules mining, an algorithm is proposed to get non-spatial itemsets. By virtue of spatial analysis, the spatial relations were transferred into non-spatial associations and the non-spatial itemsets were gotten. Based on the non-spatial itemsets, the Apriori algorithm or other algorithms could be used to get the frequent itemsets and then the spatial association rules come into being. Using spatial DB, the spatial association rules were gotten to validate the algorithm, and the test results show that this algorithm is efficient and can mine the interesting spatial rules.     

集中式多传感器模糊联合概率数据互联算法

为解决集中式多传感器系统中多目标跟踪问题,提出了集中式多传感器模糊联合概率数据互联算法。该算法应用模糊数学的方法计算测量点迹与航迹测量预测之间的模糊综合相似度,运用阈值判别及经验概率法则给出模糊联合互联概率的计算方法,提出了集中式多传感器模糊联合概率数据互联算法的状态估计模型。对该算法与已有集中式多传感器联合概率数据互联算法进行仿真比较,仿真结果显示该算法的跟踪精度较后者提高了43.7%,同时有效地降低了周期耗时,综合性能更优越。     

燃烧过程中铅颗粒粒径分布的实验研究

使用高3.4m、内径0.15m的一维炉实验台,对燃烧中铅颗粒的粒径分布进行了实验研究。铅元素以醋酸铅溶液的形式通过空气雾化引入到燃烧液化石油气的炉膛中。使用切割粒径从0.48～12.63μm的8级Andersen撞击器和切割粒径从0.030～10.0μm的12级静电低压撞击器(ELPI)进行采样,同时对铅颗粒物的质量浓度粒径分布和数量浓度粒径分布进行了测量。使用场发射扫描电镜(FESEM)对铅颗粒微观形貌进行了观察。结果表明,在质量方面,铅颗粒主要集中在亚微米区间,质量浓度的峰值在0.2～0.6μm之间;在数量方面,铅颗粒主要集中在0.03～0.4μm区间,数量浓度的峰值在0.2～0.3μm之间。     

基于数据挖掘的考试成绩科学化管理

将数据挖掘技术引入到体育考试成绩科学化管理中来,提出了基于数据挖掘的体育考试成绩科学化管理框架,以关联规则为例,详细讨论了利用数据挖掘进行体育考试成绩科学化管理的具体过程,并对结果进行了简要分析.