遗传投影寻踪评价方法的算法实现及其在粉煤灰分类中的应用研究

针对目前粉煤灰分类研究存在的片面性,在分析影响粉煤灰品质有关的化学成分和物理性质的基础上．选择细度、玻璃体、烧失量、K2O、SO3和CaO作为投影寻踪聚类分析的特征指标,以活性特征为目标,建立了投影寻踪聚类分析模型,编制了基于MATLAB的相应程序,采用遗传算法寻求最优投影方向,根据投影特征指标值对粉煤灰进行分类。研究表明该模型克服了以往传统分类法的不足,能较全面地反映粉煤灰产品品质性能。     

Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering

A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval (PRI) analysis. Firstly, we propose the dynamic distance clustering (DDC) for classification. In the clustering algorithm, the multi-dimension features of radar pulse are used for reliable classification. The similarity threshold estimation method in DDC is derived, which contributes to the efficiency of the algorithm. However, DDC has large computation with many signal pulses. Then, in order to sort radar signals in real time, the improved DDC (IDDC) algorithm is proposed. Finally, PRI analysis is adopted to complete the process of sorting. The simulation experiments and hardware implementations show both algorithms are effective.     

基于人工免疫的进化性数据聚类分析的研究

文章提出了一种新型的基于人工免疫系统的进化性聚类分析方法,通过这种方法不仅可以实现对数据的聚类,过滤冗余数据,并且可以根据已知数据的趋势生成未知进化数据,以达到对数据的进化简约处理的功效.     

基于聚类分析对湖北糍粑的品质评价

为了探究不同糍粑品质差异性,并对糍粑品质的评价提供参考,收集了湖北省内不同地域的18个糍粑品种,以及河南和贵州的各1种糍粑,通过物性测定仪和感官评价对其品质测定,并采用描述性统计、相关分析和聚类分析的方法进行分析。结果表明,硬度、黏着性、黏性和咀嚼性4个指标可以作为评定糍粑品质的重要参考指标,且糍粑可接受的参考指标范围:硬度3 607 g,黏着性-325.5 g·s,黏性2 875,咀嚼性2 506。同时以质构测定结合感官评价的糍粑评价方法得到论证,这为糍粑在食味方面的标准制定提供一定的支持。     

The effect of completion strategy on fracture propagation from multiple cluster perforations in fossil hydrogen energy development

The hydraulic fracturing is extensively used to stimulate the production of fossil hydrogen energy. Perforation parameters have a great influence on the performance of hydraulically fractured horizontal wells in fossil hydrogen energy development. In this work, a practical model to study the effect of a completion scheme on simultaneous fracture propagation is proposed, in which the coupling fluid flow and stress interaction is considered, and a fracture propagation uniform index model is used to optimize the completion strategy. Moreover, this model is well validated by Wu's model and Zhang's model. The numerical study results indicate that a uniform completion scheme causes a non-uniform fracture development; an optimal completion method is proposed by reducing the cluster number, non-uniform spacing, and practical limited entry technique in a fracturing stage. Furthermore, the combined use of unequal cluster spacing and a limited entry strategy can significantly reduce the suppression effects between multiple clusters, improve the fluid flow into each cluster, and enhance the uniform propagation to achieve the maximum production. Our present work illustrates a better understanding of the effect of the completion strategy on the multiple fracture propagation, and paves a path for a more optimal completion design for fossil hydrogen energy development.     

河南卢氏三官庙钼多金属矿区土壤地球化学特征及成矿预测

河南省卢氏县三官庙钼多金属矿区位于华北陆块南缘卢氏-栾川陆缘褶断带中西部,为寻找钼钨铅锌金银多金属矿的有利地区。采用多元统计分析方法中的经过去量纲标准化的Euclidean距离法对三官庙矿区进行了土壤地球化学找矿预测研究,采用聚类分析方法按相关元素组合、亲疏关系、成因联系将元素异常组合分为Mo-Cu-Zn-Pb-W元素相关性异常、As-Sb-Hg-Ag元素相关性异常和Bi异常,有效解决了化探工作中因元素线性相关性不佳而导致R型聚类效果不理想的问题。将元素相关性异常和单元素异常的分布特征进行比较,找出了主成矿元素Mo、Zn、Pb和伴生元素Cu、W。在此基础上,结合区域成矿背景和矿区综合异常特征对矿区进行了成矿预测,并圈定了找矿靶区,分别采用了1∶1万高精度磁法扫面、槽探法以及钻探法对找矿靶区进行了验证和工程揭露。研究表明：①圈定的I类三官庙-赵凹综合异常Mo-Cu-Zn-Pb-W找矿靶区、Ⅱ类北南沟综合异常Mo-Zn-Pb-W-Hg-As-Cu找矿靶区均为矿致异常,与元素聚类分析结果一致,均为寻找钼多金属矿较有利的地区;②I类找矿靶区Mo品位未达到工业品位,Ⅱ类找矿靶区Mo、TFe品位均达到了矿床工业品位（w(Mo)最大为0.28%,w(TFe)最大为46.1%）,为寻找钼多金属矿的有利靶区;③矿区内形成中-高温热液和斑岩-矽卡岩型钼多金属矿床的潜力较大。     

基于创新生态系统理论的创新集聚区规划研究

创新集聚区是创新发展的重要空间 载体。近年来,我国已开展了大量的相关规划 建设工作,但对于创新集聚区规划尚缺乏系 统的研究。创新生态系统理论是指导创新发 展的重要理论工具,但相关研究主要集中在 经济管理领域。理论方法的欠缺不但影响了 创新集聚区规划的科学性、适用性,而且会对 创新发展的速度、质量产生负面作用。本文在 概述创新生态系统理论及其发展的基础上, 明确了协同互动是创新生态系统的关键生态 机制,认为创新集聚区规划的本质是通过规 划设计促进协同创新关系的培育与发展。在 此基础上,设计了以关键协同创新关系为基础 的创新集聚区规划研究方法,并提出了应进 一步研究的内容及实现路径。研究内容厘清了 创新聚集区的本质内涵、关键机制及其主要 的规划研究策略,对于创新聚集区的发展研 究、规划设计、组织管理等具有指导意义。     

Optimum design of externally pressurized air bearing using Cluster OpenMP

This study presents a performance evaluation of a new portable parallel programming paradigm, the Cluster OpenMP (CLOMP) for distributed computing, in conducting an optimum design of air bearings. The multi-objective optimization was carried out by using a genetic algorithm (GA) incorporating Pareto optimality criterion. Since the GA is natural parallel evolution algorithm, the computation of the search was carried out in parallel by using the CLOMP. In this study, the performance of a CLOMP cluster of four dual-core computers for the air bearing optimization was compared with a shared-memory processing (SMP) computer equipped with two quad-core processors. To examine the parallel efficiency of the CLOMP in the GA optimization, several multithread applications of various task sizes were tested. It is shown that the air bearing optimization can be effectively dealt with by the CLOMP (parallel efficiency of 96.2-98.8%) as well as the SMP computing (93.1-99.4%) in the studied cases. The CLOMP retains the characteristics of directive-based OpenMP, such as incremental programming and serial-coding compatibility. The verified high parallel efficiency of the CLOMP cluster demonstrates its potential applications of the scalable computing in many tribological optimizations.     

Cluster analysis of antioxidant compounds in dates (Phoenix dactylifera): Effect of long-term cold storage

Both soft (SD, Bam) and dry (DD, Kharak) date varieties were stored at 4 °C for six months followed by an additional one week storage at 18 °C. Antioxidant compounds (total phenolic content (TPC) and total flavonoid content (TFC)) of the dates increased following storage. Cluster analysis applied on TPC and TFC data before and after storage obtained two statistically significant clusters of SD and DD indicating that TPC and TFC had different behaviors according to the types of dates. As antioxidant concentration in dates was dependent on type of dates, selection of variety with high antioxidant compounds may be recommended. Further cold storage of up to six months followed by one week storage at 18 °C may further improve the level of antioxidant compounds.