机会约束随机规划集值模型及求解

本文提出了两个随机变量大小关系依阈值α成立的概念．在分析机会约束的基础上，利用此概念将规划ｍｉｎｆ（ｄ），Ｓ．Ｔ．的约束条件转化成集值约束；并给出了相应集值约束规划的解法．

基于集值统计-Entropy的采空区自燃危险性预测模型及应用

针对采空区遗煤自燃危险影响因素多且具有突发性和不确定性、对其进行定量分析难度较大的问题,提出了基于集值统计-Entropy的综合确权模糊预测法对采空区遗煤自燃危险性进行预测与分析。通过引入修正系数和向量内积优化预测评价模型,减小主客观因素对预测结果的影响。基于层次分析原理建立了采空区自燃危险2级预测模型,分析各权重置信度,预测自燃危险性等级。将该模型应用于晋牛煤矿1303工作面采空区,自燃危险预测结果与实际情况吻合较好,实证了基于集值统计-Entropy的模糊数学模型对采空区遗煤自燃危险性预测的科学性,与经典AHP法相比预测过程更直观,预测结果更准确,为采空区自燃灾害有效防治提供了一种新的理论依据。

永磁同步电机幅值控制集模型预测控制策略

传统有限约束集模型预测控制方法仅利用二电平电压源型逆变器的六个有效空间电压矢量和两个零矢量作为控制集合,致使永磁同步电机的相电流中存在较高的电流谐波。针对这一问题,提出一种基于旋转坐标系下电压幅值控制集合的幅值控制集模型预测控制方法。首先通过对电机的负载状态进行分析,根据电机电压状态方程设计电压幅值控制集合,然后根据电流参考值和电流预测模型选择出最优电压幅值,根据当前转子位置,将最优幅值合成逆变器电压矢量作用于电机。该方法能够有效地降低最优矢量的相位误差和幅值误差,从而减小电机的电流谐波和转矩脉动。同时,有限的择优范围和幅值控制集的设计,使得该方法有效地降低了算法的计算复杂度。最后搭建硬件实验平台,通过与电流环PI控制器和占空比模型预测电流控制器进行对比,验证了该方法在动态性能和稳态性能方面优越性。

基于耗散结构的公交驾驶员胜任力熵模型

为了科学评估公交驾驶员群体胜任力水平,提高公交驾驶员的胜任力,促进公交运输方式吸引力的提升.采用耗散结构理论与信息熵原理,从知识、技能与能力、工作风格三个维度出发,构建了基于耗散结构下公交驾驶员的胜任力模型,建立了公交驾驶员的胜任力熵函数,并运用集值统计模型法对胜任力模型各元素赋权.问卷调查数据分析结果显示,越是优秀的公交驾驶员群体,其胜任力系统总熵越低,有序度越高,反之亦然,揭示了公交驾驶员胜任力熵变机理.

Irregular seismic data reconstruction based on exponential threshold model of POCS method

Irregular seismic data causes problems with multi-trace processing algorithms and degrades processing quality. We introduce the Projection onto Convex Sets （POCS） based image restoration method into the seismic data reconstruction field to interpolate irregularly missing traces. For entire dead traces, we transfer the POCS iteration reconstruction process from the time to frequency domain to save computational cost because forward and reverse Fourier time transforms are not needed. In each iteration, the selection threshold parameter is important for reconstruction efficiency. In this paper, we designed two types of threshold models to reconstruct irregularly missing seismic data. The experimental results show that an exponential threshold can greatly reduce iterations and improve reconstruction efficiency compared to a linear threshold for the same reconstruction result. We also analyze the anti- noise and anti-alias ability of the POCS reconstruction method. Finally, theoretical model tests and real data examples indicate that the proposed method is efficient and applicable.

A fast-convergence POCS seismic denoising and reconstruction method

The efficiency, precision, and denoising capabilities of reconstruction algorithms are critical to seismic data processing. Based on the Fourier-domain projection onto convex sets （POCS） algorithm, we propose an inversely proportional threshold model that defines the optimum threshold, in which the descent rate is larger than in the exponential threshold in the large-coefficient section and slower than in the exponential threshold in the small-coefficient section. Thus, the computation efficiency of the POCS seismic reconstruction greatly improves without affecting the reconstructed precision of weak reflections. To improve the flexibility of the inversely proportional threshold, we obtain the optimal threshold by using an adjustable dependent variable in the denominator of the inversely proportional threshold model. For random noise attenuation by completing the missing traces in seismic data reconstruction, we present a weighted reinsertion strategy based on the data-driven model that can be obtained by using the percentage of the data-driven threshold in each iteration in the threshold section. We apply the proposed POCS reconstruction method to 3D synthetic and field data. The results suggest that the inversely proportional threshold model improves the computational efficiency and precision compared with the traditional threshold models; furthermore, the proposed reinserting weight strategy increases the SNR of the reconstructed data.

高速公路运营安全综合评价算法

为了客观评价高速公路运营安全,本文从影响高速公路运营安全的固定基础设施、运营中的交通特征、阶段运营后事故特征三个方面进行综合分析,构建了由表征道路交通设施特征、交通流运行特征和事故特征8个评价指标组成的多指标综合评价指标体系;在此基础上为各评价指标量化提供了相应的计算公式或评价打分依据,并初步提出各评价指标相应的评价阈值。为消除评价中的随机误差用集值统计模型法确定各评价指标的权重,利用功效系数法对各评价指标进行无量纲化处理,并建立了标准化后的评价值域。案例分析结果表明基于多指标的高速公路运营安全综合评价算法可以较好地进行量化对比和评价。

地铁线路割接施工风险管控研究

针对地铁线路割接施工风险防控机理,首次采用集值法对传统信息指数可靠度评估法进行修正,搭建评估模型。从轨道胀轨、轨道断轨、桥隧结构变形、线路隆起或下沉、轨道几何尺寸严重超限五大类构建地铁线路割接施工风险指标体系。以南京地铁一号线、十号线割接为评估样本,运用修正评估模型进行打分及数据处理,得到评估等级。提出地铁线路割接施工关键风险点应对措施。

定量定性相结合的企业综合预警方法研究

本文在理论与实践的基础上提出了定量定性相结合的企业综合预警方法。首先应用人工神经网络对企业进行定量预警,并且简要分析了误警概率和虚警概率,然后利用模糊综合评价法对企业环境进行定性预警,最后将两者结合起来达到综合预警的目的。

Does Intellectual Capital Affect Business Performance？

The aim of this paper is to assess the impact of intellectual capital （IC） on firms＇ financial performance with reference to a sample of companies operating in the European Union （EU） area during the period from 2006 to 2013. The analyses are further differentiated by country of domicile, industry sector, and historical period （pre-crisis and crisis）. We investigate whether the value of the components of IC is a relevant factor that influences firms＇ performance, proposing and testing a modified version of the value added intellectual capital （VAICTM） model which also considers country-specific differences in terms of default risk. The empirical results evidence the relevance of the information on IC disclosed by companies. Differences arise depending on the reference country, industry, and historical period examined. The main limitations of the research are the unbalanced structure of the sample among countries and industries and the specificity of the examined sample （listed firms applying IAS/IFRS system）. The main implication of the study is that, since we demonstrate the value relevance of IC, our findings could be of interest for standard setters for defining a standard （qualitative and quantitative） level of information on human resources to be disclosed by companies in their financial statements. Our contribution to the literature is the proposal of some relevant modifications to the original VAICTM model and providing new evidence on the influence that IC had in recent years on business performance in the EU.

Model On Suspicion Deciding

First. we use graph theory to further clarify information of nodes and topics. Next, our paper analyzes the factor which affects the nodes probability of being conspirators. According to requirement 1, each node is given an initial probability in being a conspirator on the basis of the acquired information.Then we conduct calculations with the iterative equation produced by factor analysis to get the priority list of the 83 given nodes. In addition, according to requirement 2, we make some changes of the nodes information before solving the iterativc modcl above. Compared with former result, some changes of priority and probability of being conspirator emerges.Finally, based upon requirement 3, we pick out some infomaation from some certain topic by semantic analysis and text analysis. A new group of indexes are solved out with TOPSIS to finish the information-gathering period. The terminal indicator, containing the information of nodes and topics, is a weighted average value of the indexes obtained above and the indexes obtained in requirement 1 with the method of the variation coefficient.

A Local Ensemble Transform Kalman Filter Data Assimilation System for the Global FSU Atmospheric Model

Data assimilation is the process by which measurements and model predictions are combined to obtain an accurate representation of the state of the modeled system. We implemented a data assimilation scheme called LETKF （local ensemble transform Kalman filter） with FSUGSM （Florida State University Global Spectral Model） and made an experiment to evaluate the initial condition generated to numerical weather prediction to FSUGSM model. The LETKF analysis carries out independently at each grid point with the use of ＂local＂ observations. An ensemble of estimates in state space represents uncertainty. The FSUGSM is a multilevel （27 vertical levels） spectral primitive equation model, where the variables are expanded horizontally in a truncated series of spherical harmonic functions （at resolution T63） and a transform technique is applied to calculate the physical processes in real space The assimilation cycle runs on the period 01/01/2001 to 31/01/2001 at （00, 06, 12 and 18 GMT） for each day. We examined the atmospheric fields during the period and the OMF （observation-minus-forecast） and the OMA （observation-minus-analysis） statistics to verify the analysis quality comparing with forecasts and observations. The analyses present stability and show suitable to initiate the weather predictions.

An Efficient Approach for the Numerical Identification of R and L Parameters of High Frequency Multi-winding Transformers

In this paper, equivalent circuits for high frequency multi-winding magnetic components are derived from finite element （FE） computations. Lumped parameter models are first presented, based on previously published work. All parameters of these circuits can be interpreted as the results of open and short-circuit tests on the transformer. Based on this consideration, numerical procedures are then proposed to derive frequency-dependent lumped parameters from FE simulations. By using an adequate formulation, parameters are directly obtained from the FE model degrees of freedom, without performing any volume integration in post-processing, which can be source of numerical errors. In this contribution, attention is paid on the modeling of magnetic coupling using inductances, and dissipative effects （winding and core losses） using resistances. The impact of conductor eddy currents on the circuit parameters is moreover studied in details. Instead of an analysis of the impact conductor eddy currents may have on the circuit parameters is moreover carried through.

ON THE TRANSIENT DEPARTURE PROCESS OF M^x/G/1 QUEUEING SYSTEM WITH SINGLE SERVER VACATION

This paper studies the transient departure process of M^x/G/1 queueing system with single server vacation. We present a simple probability decomposition method to derive the expected number of departures occurring in finite time interval from any initial state and the asymptotic expansion of the expected number. Especially, we derive some more practical results for some special cases.

A novel tuned heave plate system for heave motion suppression and energy harvesting on semi-submersible platforms

Deepwater offshore structures such as semi-submersible platforms suffer powerful ocean waves due to their location and site condition. The long distance away from the shore also brings many difficulties to energy supply for the platform operation. How to reduce the response of the platform and convert the wave energy into electrical power is a meaningful topic. In this paper, a tuned heave plate system(THP) is presented and designed to be employed on a semi-submersible platform for heave motion suppression and energy harvesting. This THP system is composed of spring supports, a power take-off system(PTO), and a heave plate. The PTO system is a permanent magnet linear generator(PMLG), which could directly convert the kinetic energy of the heave plate into electronic power. The stiffness of the spring supports is designed based on the principle of the tuned mass damper(TMD). The numerical model of the platform and the THP system is established according to the hydrodynamic analysis results of the platform. The model is tested and modified by scale model tests on the platform in the wave tank. A parameter study, including the size, tuned period, and damping ratio of the THP system, is conducted systematically based on the numerical model. The optimal parameters of the THP are selected due to the maximum heave motion reduction under severe wave conditions in South China Sea. The performance of the semi-submersible with and without the THP system under different wave conditions is analyzed. It is demonstrated that this novel tuned heave plate system could reduce the heave motion of the semi-submersible platform significantly and generate considerable power, which makes the THP system have a broad prospect for development.