多媒体技术在课堂教学中的优化应用研究

目前多媒体技术在各种领域中发挥的作用越来越重要。特别在教育教学领域中,由于多媒体技术的运用,对教学水平的提高更是起到了显著的作用。本文从教学实践的角度出发,论述了多媒体在教学活动当中的作用,讨论了多媒体技术在教学当中的优化问题以及相关的解决方法。     

风力发电机接入直流微电网的运行控制研究

本文针对目前现行风力发电机系统接入微网效率低和不易控制的问题,提出建立改进型的风力发电模型,这个系统主要包括:风力机、永磁同步发电机、三相整流桥、DC-DC变换器以及蓄电池。利用PSIM仿真软件进行等效仿真验证。仿真结果表明风力发电机通过整流变换后能很好的能接入直流微电网,为用户提供高质量的电能。     

Agent-based simulation of consumer purchase behaviour based on quality,price and promotion

ABSTRACT

This paper studies the influence factors in consumer purchase behaviour. First, through reading and analysing the related paper, the authors summarise a lot of influence factors. Second, combined with the theme of the study, experts and scholars discuss these influence factors and choose quality, price and promotion of commodity as the object of this paper. Third, this paper presents an agent-based model and simulation method on the consumer purchase behaviours based on quality, price and promotion of commodity. The utility function is used to describe the model, which is implemented under NetLogo simulation environment. The results show that the proposed model can analyse and predict the effects of different quality, price and promotion strategies by the emergence of consumer purchase behaviour.     

连杆式椭圆规机构的动态演示

针对连杆式椭圆规的特征进行了运动分析,应用ActionScript语言进行了椭圆轨迹控制方法研究,并对画杆机构的速度瞬心轨迹进行了动态模拟演示.     

基于ERP沙盘模拟的企业管理培训模式研究

企业培训是一种有目标、有计划、有步骤的学习,有助于改善和提高员工的知识技能、工作方法和工作绩效,不断推动个人和企业不断进步,实现企业目标。本文在具体介绍ERP沙盘模拟的基础上,将其应用于企业培训,构造一个新的体验式的培训模式,并对该模式的实施策略进行了说明,分析了该模式的特点和优势,体现出了传统培训模式所无法比拟的优越性,该模式提倡学员学为主,老师教为辅的培训方式,有利于提高培训效果。     

互联网企业价值评估模型比较研究

基于互联网企业轻资产、高估值、迭代快以及风险大等特点,比较传统价值评估模型与Schwar-tz-Moon等实物期权价值评估模型,分别运用于评估案例企业泛微网络价值.结果发现,相较于传统现金流贴现模型,实物期权价值评估模型评估结果更接近于公司实际价值.三种实物期权模型敏感性分析表明:Schwartz-Moon模型评估误差最小,且模型稳健性最强,适用于不确定性高的互联网企业估值.     

产业结构优化对我国林业产业发展影响分析

选取泰尔指数作为衡量指标对我国31个省区2013—2018年期间林业产业结构合理化水平进行测算,并运用固定效应模型就产业结构优化对地区林业产业发展的影响进行分析。结果显示,我国林业产业发展与产业结构合理化水平地区间发展不平衡,产业结构优化对地区林业产业发展具有显著正向影响。对此提出了提高林业产业技术投入、强化林业产业间衔接与加强林业产业合理化监测和引导等建议。     

No-Arbitrage ROM simulation

Ledermann et al. (2011) propose random orthogonal matrix (ROM) simulation for generating multivariate samples matching means and covariances exactly. Its computational efficiency compared to standard Monte Carlo methods makes it an interesting alternative. In this paper we enhance this method׳s attractiveness by focusing on applications in finance. Many financial applications require simulated asset returns to be free of arbitrage opportunities. We analytically derive no-arbitrage bounds for expected excess returns to be used in the context of ROM simulation, and we establish the theoretical relation between the number of states (i.e., the sample size) and the size of (no-)arbitrage regions. Based on these results, we present a No-Arbitrage ROM simulation algorithm, which generates arbitrage-free random samples by purposefully rotating a simplex. Hence, the proposed algorithm completely avoids any need for checking samples for arbitrage. Compared to the alternative of (potentially frequent) re-sampling followed by arbitrage checks, it is considerably more efficient. As a by-product, we provide interesting geometrical insights into affine transformations associated with the No-Arbitrage ROM simulation algorithm.     

A multiple objective particle swarm optimization approach for inventory classification

This paper presents a particle swarm optimization approach for inventory classification problems where inventory items are classified based on a specific objective or multiple objectives, such as minimizing costs, maximizing inventory turnover ratios, and maximizing inventory correlation. In addition, this approach determines the best number of inventory classes and how items should be categorized for the desired objectives at the same time. Experiments are employed to determine the best combination of algorithm parameter values. Extensive numerical studies are conducted and results are compared to other known classification methods. The performance of the algorithm on a practical case is also presented.     

原木随机存贮策略的最优化问题

介绍在周期内原木变价销售情况下的最佳期初贮存量的决策方法 ,在建立期望机会成本的数学模型基础上 ,探讨原木随机存贮策略的最优化问题。