岩爆预测的最大熵最优相对隶属度方法

通过分析国内外岩爆预测的判据,选择岩爆发生所需的力学条件、完整性条件、储能条件和脆性条件作为岩爆预测指标.引入岩爆预测的相对隶属度概念,计算了岩爆的相对隶属度模糊矩阵和预测指标的权重,以信息熵来描述并比较岩爆评价中的不确定性,定义了加权广义权距离来表征岩爆的差异.根据最大熵原理建立了岩爆预测的模糊最优化模型,对一些岩石...     

Exergy：热力学第二定律的实践者

大多数研读热力学的学生都对熵抽象的观念感到痛苦。尤其甚者,他们对热力学第二定律的陈述及如何应用都觉得困惑。这篇短文借着Smith等人著名热力学教科书上的范例阐述有效能量（Exergy）的观念,并进而彰显热力学第二定律的意涵。     

基于熵权与TOPSIS融合法的绿色刀具制造方案评估模型研究

基于绿色制造理念的刀具方案评估是推动机械加工行业实现绿色制造的重要措施。针对现有面向绿色制造的刀具方案评价研究中评价指标权重确定方面存在的不足,提出了一种新的熵权法和TOPSIS法相结合的绿色制造刀具方案评估方法。首先建立了多层次的绿色制造刀具方案评估指标体系,在此基础上,将熵权法与TOPSIS法相结合建立了基于熵权TOPSIS法的绿色制造刀具方案评估模型。最后通过方案评估实例验证了所建立的绿色制造刀具方案评估模型是合理有效的。     

云计算平台中分布式Hadoop数据挖掘关键技术研究

云计算环境下的大数据特征挖掘是大数据统计及分析的基础。为了提高聚类的准确度和速度,设计了一种基于分布式Hadoop平台和熵加权特征选择的数据挖掘方案。该方案首先采用无回路有向图对Hadoop平台下的Map Reduce 作业流调度问题进行了分析。然后采用并行 Map Reduce执行过程完成分布式计算。最后,采用熵加权聚类算法实现海量数据挖掘。仿真结果显示,提出的数据挖掘方案具有较好聚类效果和运行效率。     

动态测量不确定度贝叶斯评定的改进方法研究

动态测量不确定度的评定一直是比较复杂的问题,到目前为止,国内外有许多学者对这一问题进行了探索与研究,给出了一些评定的方法,但这些方法都存在自身的缺点与不足,还不能给出十分精确的评定结果。因此,通过对现有基于贝叶斯理论的动态测量不确定度评定方法进行分析,用最大熵原理改进其先验分布的选择与计算方法,从而有效提高计算后验分布的精度,最终提高不确定度的计算准确度。     

新型智能预装式变电站状态评价关键参量研究

研究了预装式变电站主要设备的关键状态参量,建立了配电变压器状态评价模型,利用状态评价模型进行了实例分析,给出了分析结果。     

Minimum Moment Method for Resource Leveling Using Entropy Maximization

The minimum moment method for resource leveling is revisited and restated as an entropy-maximization problem. The minimum moment method assumes that the moment of the daily resource demands about the horizontal axis of a project’s resource histogram is a good measure of the resource utilization and that the optimal resource allocation exists when the total moment is at a minimum, thus when the resource histogram is of rectangular shape. The entropy-maximization method proposed in this paper makes use of the general theory of entropy and two of its principal properties (subadditivity and maximality) to revisit the minimum moment method for resource leveling. The entropy-maximization method presented allows for activity stretching and provides resource allocation solutions that show improvement over previous approaches. A case study is also presented that validates the results.     

Evaluation of thermodynamic properties using GAB model to describe the desorption process of cocoa beans

The desorption isotherms and thermodynamic properties of cocoa beans were obtained during the drying process of this product. The isotherms were determined by dynamic method for various temperature (25, 35, 45 and 55 °C) and relative humidity (RH) conditions (30, 40, 50, 60, 70 and 80%). Equilibrium moisture content data were correlated by the Guggenheim–Anderson–de Boer (GAB) model, which presented good fit to the data, according to statistical procedures. Equilibrium moisture content ranged from 5.90 to 16.67 d.b.; it increased with an increment in the RH and decreased with increased temperature at a constant RH. Enthalpy values for each model coefficient were encountered, ranging from ?90.05 to 545.96 kJ kg^?1. The integral isosteric heat of desorption and differential entropy increased with decreased equilibrium moisture content, a tendency also found for Gibbs free energy.     

熵平均法在放射性数据处理中的应用研究

本文阐述了消除放射性数据局部干扰的方法和必要性以及熵平均法对放射性数据局部干扰消除的基本原理和方法。通过熵平均法在某剖面数据的应用,可以看出对局部突跳点干扰处理中,熵平均法的效果要好于多点圆滑法,较好地压制了干扰而突出了异常信息,熵平均法对于γ测量随机影响的消除起到了较好的效果,使地面γ测量得到了较好的应用。