填料-旋流板脱硫塔在净化加压变脱改造中的设计与应用

阐述了以塑料阶梯环填料与带溢流锥双程叶片旋流塔板组合的新型复合脱硫塔的设计开发,其结构特点为旋流板塔板采用了双程叶片结构,溢流装置采用新型带螺旋叶片结构,塔上部设置高2.53m填料层,改进并优化了喷淋装置及气体进、出口结构等。通过实际应用,证明该型脱硫塔在净化加压变换气脱硫工序中的应用是成功的。     

领域知识图谱快速构建和应用框架

快速构建和应用领域知识图谱(domain knowledge graphs, DKG)已成为企业的迫切需求。然而,领域知识图谱的快速构建和应用仍然存在问题:1）构建前,复杂领域场景涉及知识维度广,业务专家短时间内难以构建完备的领域schema;2）构建中,业务和技术专家深度耦合,图谱构建缓慢,难以适应业务快速发展需求;3）构建后,图谱应用严重依赖技术人员开发,业务专家无法自主基于领域知识图谱探索问题解决方案。为解决上述问题,本文提出了领域知识图谱的快速构建和应用框架,其中包括:多人协作构建领域schema解决领域知识的复杂性问题,将业务和技术专家解耦合,提高领域知识图谱的构建效率,最后通过建立基于行业schema的auto-KBQA((knowledge base question answering)解决领域知识图谱在知识问答应用的快速落地。通过实际项目的应用落地,验证了该框架可有效加快领域知识图谱的落地应用,期望该框架给领域知识图谱的快速构建和应用带来一定的启发和帮助。     

Some Results for Pythagorean Fuzzy Sets

Pythagorean fuzzy sets (PFSs), originally proposed by Yager (Yager, Abbasov. Int J Intell Syst 2013;28:436–452), are a new tool to deal with vagueness considering the membership grades are pairs satisfying the condition . As a generalized set, PFSs have close relationship with intuitionistic fuzzy sets (IFSs). PFSs can be reduced to IFSs satisfying the condition . However, the related operations of PFSs do not take different conditions into consideration. To better understand PFSs, we propose two operations: division and subtraction, and discuss their properties in detail. Then, based on Pythagorean fuzzy aggregation operators, their properties such as boundedness, idempotency, and monotonicity are investigated. Later, we develop a Pythagorean fuzzy superiority and inferiority ranking method to solve uncertainty multiple attribute group decision making problem. Finally, an illustrative example for evaluating the Internet stocks performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.     

大数据和云计算技术探析

随着大数据时代的来临,海量数据的处理成为了新的难题.结合大数据和云计算技术的背景,阐述了大数据和云计算的产生、发展和一些关键技术以及将来面临的诸多问题及新的挑战.     

Conceptual equivalence for contrast mining in classification learning

Learning often occurs through comparing. In classification learning, in order to compare data groups, most existing methods compare either raw instances or learned classification rules against each other. This paper takes a different approach, namely conceptual equivalence, that is, groups are equivalent if their underlying concepts are equivalent while their instance spaces do not necessarily overlap and their rule sets do not necessarily present the same appearance. A new methodology of comparing is proposed that learns a representation of each group’s underlying concept and respectively cross-exams one group’s instances by the other group’s concept representation. The innovation is fivefold. First, it is able to quantify the degree of conceptual equivalence between two groups. Second, it is able to retrace the source of discrepancy at two levels: an abstract level of underlying concepts and a specific level of instances. Third, it applies to numeric data as well as categorical data. Fourth, it circumvents direct comparisons between (possibly a large number of) rules that demand substantial effort. Fifth, it reduces dependency on the accuracy of employed classification algorithms. Empirical evidence suggests that this new methodology is effective and yet simple to use in scenarios such as noise cleansing and concept-change learning.     

An Agent-Based Hybrid System for Microarray Data Analysis

This article reports our experience in agent-based hybrid construction for microarray data analysis. The contributions are twofold: We demonstrate that agent-based approaches are suitable for building hybrid systems in general, and that a genetic ensemble system is appropriate for microarray data analysis in particular. Created using an agent-based framework, this genetic ensemble system for microarray data analysis excels in both sample classification accuracy and gene selection reproducibility.     

Spherical fuzzy decision making method based on combined compromise solution for IIoT industry evaluation

The Industrial Internet of Things is crucial for enterprise and country to drive the strategic upgrade and raise the level of national intelligent manufacturing. When pondering the IIoT industry evaluation, the corresponding dominating issues involve numerous indeterminacies. Spherical fuzzy set, portrayed by memberships of positive, neutral and negative, is a more efficient methods of seizing indeterminacy. In this article, firstly, the fire-new spherical fuzzy score function is explored for solving some suspensive comparison issues. Moreover, the objective weight and combined weight are determined by Renyi entropy method and non-linear weighted comprehensive method, respectively. Later, the multi-criteria decision making method based on combined compromise solutionis developed under spherical fuzzy environment. Finally, the corresponding method is effectively validated by the issue of IIoT industry evaluation. The main characteristics of the presented algorithm are: (1) without counterintuitive phenomena; (2) no division or antilogarithm by zero problem; (3) no square root by negative number issue; (4) no violation of the original definition issue.

     

基于疲劳应变—寿命曲线的应变式负荷传感器设计研究

稳定性应变式负荷传感器研究的热点之一。基于40Cr Ni Mo A疲劳应变—寿命曲线,分别设计了不同额定应变的柱式和轮辐式传感器,并通过对各传感器的疲劳加载及相应的计量性能检测,探索传感器计量性能随疲劳加载的变化规律。实验结果表明,传感器的额定应变越小,传感器的计量性能越稳定,传感器重复性和线性受外部循环加载影响较大,而滞后、蠕变和蠕变恢复对外部循环加载并不敏感,且相对轮辐式传感器,柱式传感器拥有更好的稳定性。     

空间太阳能电站太阳能接收器二维展开过程的保结构分析

针对传统数值方法求解微分-代数方程过程中经常遇到的违约问题,本文以空间太阳能电站太阳能接收器的简化二维模型为例,采用辛算法模拟了简化模型的展开过程,研究了辛算法在求解过程中约束违约问题.首先,基于Hamilton变分原理,将描述简化二维模型展开过程的Euler-Lagrange方程导入Hamilton体系,建立其Hamilton正则方程;随后,采用s级PRK离散方法离散正则方程,得到其辛格式;最后,采用辛PRK格式模拟太阳能接收器的二维展开过程.模拟结果显示:本文构造的辛PRK格式能够很好地满足系统的位移约束.     

On domination number of Cartesian product of directed cycles

Let γ(G) denote the domination number of a digraph G and let Cm□Cn denote the Cartesian product of Cm and Cn, the directed cycles of length m,n?2. In this paper, we determine the exact values: γ(C₂□Cn)=n; γ(C₃□Cn)=n if , otherwise, γ(C₃□Cn)=n+1; if , otherwise, .