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Research on Distribution Network Security Analysis Based on $K(N-1+k)$ Criterion and Rank Preference Optimal Ordering 基于$K(N-1+ K)$准则和等级偏好最优排序的配电网安全分析研究
Q2 MATHEMATICS, APPLIED Pub Date : 2014-05-25 DOI: 10.1155/2014/790736
Wang Zeng-ping, Yao Yuhai, Yu Junya, Yu Chentai
The objective of security analysis is to find the weak link of distribution network. The criterion based on the characteristics of distribution network was proposed for distribution network security analysis. According to the criterion, the electrical devices in the contingency set can be classified into two kinds. The first kind meets the requirement of the criterion. The rank preference optimal ordering (RPOO) was proposed to evaluate the damage degree of power system. The second kind does not meet the requirement of the criterion, and it is the weak link of distribution network. A numerical experiment shows that the method is efficient and feasible, and the proposed method can provide assistant decision-making for safety precautions.
配电网安全分析的目的是找出配电网的薄弱环节。提出了基于配电网特点的配电网安全分析准则。根据该准则,可将应急集中的电气设备分为两类。第一类符合准则的要求。提出了等级偏好最优排序法(RPOO)来评价电力系统的损伤程度。第二类不符合标准要求,是配电网的薄弱环节。数值实验表明,该方法是有效可行的,可以为安全防范提供辅助决策。
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引用次数: 0
Accurate Simulation of Contaminant Transport Using High-Order Compact Finite Difference Schemes 用高阶紧致有限差分格式精确模拟污染物输运
Q2 MATHEMATICS, APPLIED Pub Date : 2014-04-29 DOI: 10.1155/2014/396738
Gurhan Gurarslan
Numerical simulation of advective-dispersive contaminant transport is carried out by using high-order compact finite difference schemes combined with second-order MacCormack and fourth-order Runge-Kutta schemes. Both of the two schemes have accuracy of sixth-order in space. A sixth-order MacCormack scheme is proposed for the first time within this study. For the aim of demonstrating efficiency and high-order accuracy of the current methods, some numerical experiments have been done. The schemes are implemented to solve two test problems with known exact solutions. It has been exhibited that the methods are capable of succeeding high accuracy and efficiency with minimal computational effort, by comparisons of the computed results with exact solutions.
采用高阶紧凑有限差分格式,结合二阶MacCormack格式和四阶龙格-库塔格式,对污染物的流动-弥散输运进行了数值模拟。两种格式在空间上都具有六阶精度。本文首次提出了一个六阶MacCormack格式。为了证明现有方法的有效性和高阶精度,进行了数值实验。该方案用于解决两个已知精确解的测试问题。计算结果与精确解的比较表明,该方法能以最小的计算量获得较高的精度和效率。
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引用次数: 5
Convergence Theorem for Equilibrium and Variational Inequality Problems and a Family of Infinitely Nonexpansive Mappings in Hilbert Space Hilbert空间中平衡与变分不等式问题的收敛定理及无穷非扩张映射族
Q2 MATHEMATICS, APPLIED Pub Date : 2014-04-07 DOI: 10.1155/2014/232541
Zhou Yin-ying, Cao Jiantao, Wang Ya-li
We introduce a hybrid iterative scheme for finding a common element of the set of common fixed points for a family of infinitely nonexpansive mappings, the set of solutions of the varitional inequality problem and the equilibrium problem in Hilbert space. Under suitable conditions, some strong convergence theorems are obtained. Our results improve and extend the corresponding results in (Chang et al. (2009), Min and Chang (2012), Plubtieng and Punpaeng (2007), S. Takahashi and W. Takahashi (2007), Tada and Takahashi (2007), Gang and Changsong (2009), Ying (2013), Y. Yao and J. C. Yao (2007), and Yong-Cho and Kang (2012)).
针对Hilbert空间中无限非扩张映射族、变分不等式问题的解集和平衡问题的解集,提出了一种寻找公共不动点集的公共元素的混合迭代格式。在适当的条件下,得到了一些强收敛定理。我们的研究结果改进并扩展了(Chang等人(2009)、Min和Chang(2012)、Plubtieng和Punpaeng(2007)、S. Takahashi和W. Takahashi(2007)、Tada和Takahashi(2007)、Gang和Changsong(2009)、Ying(2013)、Y. Yao和J. C. Yao(2007)以及Yong-Cho和Kang(2012))的相应结果。
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引用次数: 2
A Novel Algorithm of Quantum Random Walk in Server Traffic Control and Task Scheduling 一种新的量子随机漫步算法在服务器流量控制和任务调度中的应用
Q2 MATHEMATICS, APPLIED Pub Date : 2014-04-07 DOI: 10.1155/2014/818479
Dong Yumin, Xia Shufen
A quantum random walk optimization model and algorithm in network cluster server traffic control and task scheduling is proposed. In order to solve the problem of server load balancing, we research and discuss the distribution theory of energy field in quantum mechanics and apply it to data clustering. We introduce the method of random walk and illuminate what the quantum random walk is. Here, we mainly research the standard model of one-dimensional quantum random walk. For the data clustering problem of high dimensional space, we can decompose one -dimensional quantum random walk into one-dimensional quantum random walk. In the end of the paper, we compare the quantum random walk optimization method with GA (genetic algorithm), ACO (ant colony optimization), and SAA (simulated annealing algorithm). In the same time, we prove its validity and rationality by the experiment of analog and simulation.
提出了一种用于网络集群服务器流量控制和任务调度的量子随机漫步优化模型和算法。为了解决服务器负载均衡问题,我们研究和讨论了量子力学中的能量场分布理论,并将其应用于数据聚类。我们介绍了随机漫步的方法,并阐明了什么是量子随机漫步。本文主要研究一维量子随机漫步的标准模型。对于高维空间的数据聚类问题,我们可以将一维量子随机漫步分解为一维量子随机漫步。最后,我们将量子随机行走优化方法与遗传算法(GA)、蚁群算法(ACO)和模拟退火算法(SAA)进行了比较。同时,通过模拟和仿真实验证明了该方法的有效性和合理性。
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引用次数: 3
Stability and Sensitivity Analysis of a Plant Disease Model with Continuous Cultural Control Strategy 具有连续培养控制策略的植物病害模型的稳定性和敏感性分析
Q2 MATHEMATICS, APPLIED Pub Date : 2014-03-16 DOI: 10.1155/2014/207959
Zhonghua Zhang, Yaohong Suo
In this paper, a plant disease model with continuous cultural control strategy and time delay is formulated. Then, how the time delay affects the overall disease progression and, mathematically, how the delay affects the dynamics of the model are investigated. By analyzing the transendental characteristic equation, stability conditions related to the time delay are derived for the disease-free equilibrium. Specially, when , the Jacobi matrix of the model at the disease-free equilibrium always has a simple zero eigenvalue for all . The center manifold reduction and the normal form theory are used to discuss the stability and the steady-state bifurcations of the model near the nonhyperbolic disease-free equilibrium. Then, the sensitivity analysis of the threshold parameter and the positive equilibrium is carried out in order to determine the relative importance of different factors responsible for disease transmission. Finally, numerical simulations are employed to support the qualitative results.
本文建立了具有连续培养控制策略和时滞的植物病害模型。然后,时间延迟如何影响整体疾病进展,并在数学上研究了延迟如何影响模型的动力学。通过对先验特征方程的分析,导出了与时滞有关的无病平衡的稳定性条件。特别地,在无病平衡时,模型的雅可比矩阵总是具有一个简单的零特征值。利用中心流形约简和范式理论,讨论了模型在非双曲无病平衡点附近的稳定性和稳态分岔问题。然后,对阈值参数和正平衡进行敏感性分析,确定导致疾病传播的不同因素的相对重要性。最后,通过数值模拟对定性结果进行了验证。
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引用次数: 7
Richardson Cascadic Multigrid Method for 2D Poisson Equation Based on a Fourth Order Compact Scheme 基于四阶紧格式的二维Poisson方程的Richardson级联多重网格法
Q2 MATHEMATICS, APPLIED Pub Date : 2014-03-10 DOI: 10.1155/2014/490540
Li Ming, Li Chen-liang
Based on a fourth order compact difference scheme, a Richardson cascadic multigrid (RCMG) method for 2D Poisson equation is proposed, in which the an initial value on the each grid level is given by the Richardson extrapolation technique (Wang and Zhang (2009)) and a cubic interpolation operator. The numerical experiments show that the new method is of higher accuracy and less computation time.
基于四阶紧凑差分格式,提出了二维泊松方程的Richardson级联多网格(RCMG)方法,该方法利用Richardson外推技术(Wang and Zhang(2009))和三次插值算子给出每个网格层上的初始值。数值实验表明,该方法具有较高的精度和较短的计算时间。
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引用次数: 1
A Hybrid Mean Value Involving the Two-Term Exponential Sums and Two-Term Character Sums 涉及两项指数和和两项特征和的混合平均值
Q2 MATHEMATICS, APPLIED Pub Date : 2014-02-27 DOI: 10.1155/2014/845845
Liu Miaohua, L. Xiaoxue
The main purpose of this paper is using the properties of Gauss sums and the estimate for character sums to study the hybrid mean value problem involving the two-term exponential sums and two-term character sums and give an interesting asymptotic formula for it.
本文的主要目的是利用高斯和的性质和特征和的估计来研究两项指数和与两项特征和的混合均值问题,并给出一个有趣的渐近公式。
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引用次数: 1
Social Network Analysis Based on Network Motifs 基于网络母题的社会网络分析
Q2 MATHEMATICS, APPLIED Pub Date : 2014-02-16 DOI: 10.1155/2014/874708
Xu Hong-lin, Yang Han-bing, Gao Cui-fang, Zhu Ping
Based on the community structure characteristics, theory, and methods of frequent subgraph mining, network motifs findings are firstly introduced into social network analysis; the tendentiousness evaluation function and the importance evaluation function are proposed for effectiveness assessment. Compared with the traditional way based on nodes centrality degree, the new approach can be used to analyze the properties of social network more fully and judge the roles of the nodes effectively. In application analysis, our approach is shown to be effective.
基于频繁子图挖掘的社区结构特征、理论和方法,首次将网络母题的发现引入社会网络分析;提出了有效性评价的倾向性评价函数和重要性评价函数。与传统的基于节点中心性的方法相比,该方法可以更全面地分析社会网络的属性,有效地判断节点的作用。应用分析表明,该方法是有效的。
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引用次数: 6
Bounds on Subspace Codes Based on Subspaces of Type(m,1)in Singular Linear Space 奇异线性空间中基于(m,1)型子空间的子空间码的界
Q2 MATHEMATICS, APPLIED Pub Date : 2014-01-01 DOI: 10.1155/2014/497958
You Gao, G. Wang
The Sphere-packing bound, Singleton bound, Wang-Xing-Safavi-Naini bound, Johnson bound, and Gilbert-Varshamov bound on the subspace codesn+l,M,d,(m,1)qbased on subspaces of type(m,1)in singular linear spaceFq(n+l)over finite fieldsFqare presented. Then, we prove that codes based on subspaces of type(m,1)in singular linear space attain the Wang-Xing-Safavi-Naini bound if and only if they are certain Steiner structures inFq(n+l).
给出了有限域上奇异线性空间efq (n+l)中基于(M, 1)型子空间的子空间码+l,M,d,(M, 1) q上的球-填充界、单胞界、Wang-Xing-Safavi-Naini界、Johnson界和Gilbert-Varshamov界。然后,我们证明了奇异线性空间中(m,1)型子空间上的码当且仅当它们是某些Steiner结构inFq(n+l)时达到wang - xing - safavii - naini界。
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引用次数: 0
Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data 从模糊数据中确定模糊测度的遗传算法优化
Q2 MATHEMATICS, APPLIED Pub Date : 2013-12-03 DOI: 10.1155/2013/542153
Chen Li, Gong Zeng-tai, Duan Gang
Fuzzy measures and fuzzy integrals have been successfully used in many real applications. How to determine fuzzy measures is a very difficult problem in these applications. Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms, neural networks, and particle swarm algorithm, it is hard to say which one is more appropriate and more feasible. Each method has its advantages. Most of the existed works can only deal with the data consisting of classic numbers which may arise limitations in practical applications. It is not reasonable to assume that all data are real data before we elicit them from practical data. Sometimes, fuzzy data may exist, such as in pharmacological, financial and sociological applications. Thus, we make an attempt to determine a more generalized type of general fuzzy measures from fuzzy data by means of genetic algorithms and Choquet integrals. In this paper, we make the first effort to define the rules. Furthermore we define and characterize the Choquet integrals of interval-valued functions and fuzzy-number-valued functions based on rules. In addition, we design a special genetic algorithm to determine a type of general fuzzy measures from fuzzy data.
模糊测度和模糊积分已经成功地应用于许多实际应用中。在这些应用中,如何确定模糊度量是一个非常困难的问题。虽然目前已经有一些解决这一问题的方法,如遗传算法、梯度下降算法、神经网络和粒子群算法,但很难说哪一种更合适、更可行。每种方法都有其优点。现有的工作大多只能处理由经典数组成的数据,这在实际应用中可能会受到限制。在我们从实际数据中得出数据之前,假设所有的数据都是真实的数据是不合理的。有时,模糊数据可能存在,例如在药理学、金融和社会学应用中。因此,我们尝试用遗传算法和Choquet积分从模糊数据中确定一种更广义的一般模糊测度。在本文中,我们首次尝试定义这些规则。在此基础上,定义了区间值函数和模糊值函数的Choquet积分,并对其进行了规则刻画。此外,我们设计了一种特殊的遗传算法,从模糊数据中确定一类一般模糊测度。
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引用次数: 5
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Journal of Applied Mathematics
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