Lotka-Volterra系统下的社会型危机信息扩散模型

危机信息在扩散过程中的失真会导致社会型危机的损失呈几何级数扩大,研究危机信息的扩散规律有助于社会型危机的应对.将危机信息分成真实信息和虚假信息两大类.从生态学角度来看,可以把社会型危机信息扩散过程看成是真实信息和虚假信息争取灾民信任的动态竞争过程.在Lotka-Volterra模型的基础上建立了社会型危机信息扩散模型,并进行仿真研究和实证分析.结果表明,危机信息扩散过程中的平衡状态只与替代系数相关,达到平衡的时间与扩散率间的差值正相关,而拐点由替代系数、扩散率和初始状态决定.最后提出了通过建立危机信息共享制度、危机信息发布制度和多元参与机制以有效应对危机.     

模糊大脑情感学习的自适应噪声抵消方法

提出一种以模糊大脑情感学习(fuzzy brain emotional learning, FBEL)模型作为自适应噪声抵消器的噪声抵消方法,应用于信号处理问题。该方法通过FBEL模拟经非线性通道传输后的噪声信号,将噪声信号从含噪信号中过滤掉,达到消噪的目的;根据自适应学习算法,利用奖励信号和梯度下降法对FBEL模型的权重及参数进行在线更新,以适应噪声的变化。选取均方根误差和计算时间2个性能指标,采用自适应噪声抵消方法在不同网络中进行仿真比较,结果表明,应用该方法可以获得更好的滤波性能。     

企业生命周期下投资者关注对权益资本成本的影响

基于行为金融学的价格压力假说,结合企业生命周期理论,以2007—2014年的主板上市公司为样本,分析投资者关注对权益资本成本的影响以及这种影响在企业生命周期中存在的阶段性差异。研究发现,投资者关注与权益资本成本显著负相关,即权益资本成本随着投资者关注的提高而降低。对于不同生命周期的企业,投资者关注对权益资本成本的影响存在差异。新生期、衰退期企业的权益资本成本并不会随着投资者关注程度的提高而降低;成长期、成熟期企业的权益资本成本随着投资者关注程度的提高而降低。可以看出,投资者能够识别企业所处的生命周期,并愿意为成长期、成熟期的企业支付更高的溢价。     

砂土中裙式吸力基础复合承载特性数值模拟

海上风电基础在服役过程中,长期受到上部结构传递的竖向荷载以及风、波浪等产生的水平荷载及倾覆力矩作用.这些荷载同时作用于基础,导致基础的复合承载特性复杂.针对海上风电裙式吸力基础开展数值模拟,研究裙式吸力基础在复合加载条件下的承载能力:在复合加载条件下,裙式吸力基础的承载能力更大;随着裙结构宽度和高度的增大,裙式吸力基础的复合承载力逐渐增大;绘制了吸力基础在二维复合荷载(竖向荷载-水平荷载、竖向荷载-弯矩荷载、水平荷载-弯矩荷载)作用情况下的破坏包络线图形以及在三维复合荷载(竖向荷载-水平荷载-弯矩荷载)作用情况下的破坏包络面,得到了裙式吸力基础破坏表达式,可指导工程实践.     

司机-起重机-轨道系统动力学建模与分析

针对轨道缺陷下起重机运行过程中结构振动特性、司机舒适性等问题,提出基于司机-起重机-轨道系统动力学模型。根据拉格朗日方程建立司机-起重机-轨道系统振动微分方程,并通过精细积分法(PTSIM)求解系统振动时域响应。以100/40 t-28.5 m铸造起重机为例,分析了大车运行速度和轨道缺陷对起重机和司机振动的影响。提出的模型和方法为起重机设计、分析和人体各部位动态响应提供理论依据与参数基础。     

美式多资产期权定价问题的有限差分法

提出一种求解美式多资产期权定价问题的有效算法. 首先, 利用惩罚法和完全匹配层技巧将多资产期权满足的线性互补模型转化为有界区域上的非线性抛物问题; 然后采用半隐式有限差分法求解转化后的非线性问题, 并给出该方法的误差结果及数值解的非负性证明; 最后利用数值实验验证所提算法的实用性和有效性.     

分布式优化在智能电网经济调度问题中的应用

为了减少智能电网中节点之间信息交换的需求,降低智能电网的发电成本和用户的用电消费,提出了一种时变拓扑下的分布式优化算法,用以寻找经济调度问题的最优解;结合图论的相关理论,将节点之间的信息交换用时变无向图表示,并根据光滑精确罚函数的思想,简化经济调度问题,将优化问题中的不等式约束整理到目标函数中,从而得到一个只含有等式约束的新的优化问题,随后通过调整参数值求得最优值,因为算法考虑了每个节点的容量约束,所以在实际应用中具有更好的普适性;证明了当全局目标函数取得最小值时,各个节点共同达到最优解,最后通过实例验证了算法的有效性和可行性。     

煤田火灾的形成机理及其探测和控制技术

Coalfield fires are considered a global crisis that contributes significantly to environmental destruction and loss of coal resources and poses a serious threat to human safety and health. In this paper, research related to the initiation, development, and evolution of coalfield fires is reviewed. The existing detection and control techniques of coalfield fires are also reviewed. Traditional firefighting is associated with waste of resources, potential risks of recrudescence, potential safety hazards, extensive and expensive engineering works, and power shortages. Recently, coalfield fires have been recognized as having significant potential for energy conservation and heat energy recovery. Thermoelectric power generation is regarded as a suitable technology for the utilization of heat from coalfield fires. The extraction of heat from coalfield fires can also control coalfield fires and prevent reignition leading to combustion. Technologies for absorbing heat from burning coal and overlying rocks are also analyzed. In addition, the control mode of “three-region linkage” is proposed to improve firefighting efficiency. Integrating heat energy recovery with firefighting is an innovative method to control coalfield fires.     

Batching Scheduling in a Two-Level Supply Chain with Earliness and Tardiness Penalties

This paper studies the batch sizing scheduling problem with earliness and tardiness penalties which is closely related to a two-level supply chain problem. In the problem, there are K customer orders, where each customer order consisting of some unit length jobs has a due date. The jobs are processed in a common machine and then delivered to their customers in batches, where the size of each batch has upper and lower bounds and each batch may incur a fixed setup cost which can also be considered a fixed delivery cost. The goal is to find a schedule which minimizes the sum of the earliness and tardiness costs and the setup costs incurred by creating a new batch. The authors first present some structural properties of the optimal schedules for single-order problem with an additional assumption (a): The jobs are consecutively processed from time zero. Based on these properties, the authors give a polynomial-time algorithm for single-order problem with Assumption (a). Then the authors give dynamic programming algorithms for some special cases of multiple-order problem with Assumption (a). At last, the authors present some structural properties of the optimal schedules for single-order problem without Assumption (a) and give a polynomial-time algorithm for it.