DHGF与熵技术在风险评价中的应用

首先介绍DHGF原理与熵技术方法,同时针对在DHGF过程中主观因素,利用熵技术加以修正。在实例应用中,针对某商场的应急疏散系统,建立风险评价指标体系,应用DHGF和熵技术结合的方法进行风险评价,结果表明该方法确定的风险等级能够和保险公司承保的条件相符合,准确性较高。     

基于ArcGIS的公路沿线三维地形的建立和应用分析

以勉宁高速公路为例，在1：2000的公路沿线地形平面图的基础上，利用AutoCAD和R2V软件对其进行预处理，然后在ArcGIS中建立高精度的DEM，通过DEM和公路沿线平面图的叠加，生成公路沿线单个三维地形，建立Oracle数据库存储二维和三维地形数据，并对其中三维数据进行了缓冲区、面积和体积计算等三维应用分析。     

充分利用信息资源做好人才培养工作

在信息社会里，信息技术和信息资源是必不可少的生产务件，信息资源的开发和利用是科学发展观的内在要求，加强信息资源开发管理，从多方面、多层次培养信息资源管理人才，对提高大学生的就业实力，促进就业工作有着积极的意义。     

基于灰关联熵的航空维修差错致因量化分析

航空维修差错是诱发航空事故的重要原因.为有效实施维修差错的预防与控制,依据维修差错咨询通告(AC-121-007),运用专家调查(Delphi)法结合SHELL模型从人、硬件、软件和环境4方面构建维修差错诱因指标体系,采用灰关联熵理论量化分析诱发航空维修差错的关键因素.结果表明,计划与监督、维修环境、身心因素、信息沟通、职业素养等为导致维修人为差错的关键因素.鉴于以上维修差错致因,有针对性提出维修差错防控措施,从而实现降低差错风险的目的.     

基于固有模态函数频域熵的目标检测算法

为提高海杂波中慢速目标的检测性能,提出了一种基于固有模态函数(IMF)频域熵的目标检测算法。该算法对原始信号经 EMD分解后得到的固有模态函数采用 Fourier变换,自动地提取其各个分量的频域能量,以此获得 IMF能量分布特点,再运用信息熵的方法构建检验统计量,并将其输入非参量检测器中进行目标检测。研究结果表明,相比于海杂波、海尖峰,慢速目标的能量分布更为分散,熵值更大,对比频域广义符号(GS)检测算法,所提 方法检测性能更优,适用于慢速目标检测。     

浅析航空机供品管理信息系统的设计与实现

以东方航空公司某分公司自主开发的"机供品管理平台"为例,分析中小型航空公司机供品管理信息系统的设计与实现的全过程,旨在探讨信息化系统在航空机供品管理中的技术创新而引发的成本及效率革新。     

计算机与航空先进制造技术

信息化、柔性化、智能化是21世纪先进制造技术的基础，本文对此做了介绍，并对发展我国航空先进制造技术提出了建议。     

A novel approximation of basic probability assignment based on rank-level fusion

Belief functions theory is an important tool in the field of information fusion. However, when the cardinality of the frame of discernment becomes large, the high computational cost of evidence combination will become the bottleneck of belief functions theory in real applications. The basic probability assignment (BPA) approximations, which can reduce the complexity of the BPAs, are always used to reduce the computational cost of evidence combination. In this paper, both the cardinalities and the mass assignment values of focal elements are used as the criteria of reduction. The two criteria are jointly used by using rank-level fusion. Some experiments and related analyses are provided to illustrate and justify the proposed new BPA approximation approach.     

A generalized rough set-based information filling technique for failure analysis of thruster experimental data

Interval-valued data and incomplete data are two key problems for failure analysis of thruster experimental data and have been basically solved by the proposed methods in this paper. Firstly, information data acquired from the simulation and evaluation system formed as intervalvalued information system （IIS） is classified by the interval similarity relation. Then, as an improvement of the classical rough set, a new kind of generalized information entropy called ＂H＇-information entropy＂ is suggested for the measurement of uncertainty and the classification ability of IIS. There is an innovative information filling technique using the properties of H＇-information entropy to replace missing data by some smaller estimation intervals. Finally, an improved method of failure analysis synthesized by the above achievements is presented to classify the thruster experimental data, complete the information, and extract the failure rules. The feasibility and advantage of this method is testified by an actual application of failure analysis, whose performance is evaluated by the quantification of E-condition entropy.     

Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump

The underlying study investigates single valued neutrosophic entropy based adaptive sensitive frequency band selection for variational mode decomposition(VMD) for the purpose of identifying defective components in an axial pump. The proposed methodology is applied in the following steps. First, VMD is applied for decomposing vibration signals into various frequency bands, called as modes. After computing energy of each VMD, the lower(minimum) and upper(maximum) bounds from these energy readings ...