基于大数据的客户细分模型及精确营销策略研究

在移动互联网发展带动作用下,电信运营商主营业务已经由传统的语音业务逐渐向移动数据业务方向发展,在这种背景下,互联网企业同移动通讯业务之间的联系越来越紧密,电信运营商面临着被"管道化"的影响,基于此,对于电信运营商而言,当前最主要的任务就是提升产品质量和客户体验水平,满足电信客户多方面的需求,扩大用户范围,避免老客户的流失。而上述目标的实现都需要大数据技术应用的支撑。文章对基于大数据的客户细分模型以及精确营销策略进行深入的研究。

变电站电压无功精确控制策略的研究

针对现有变电站电压无功控制方案存在的控制不够精确、不能完全避免电容器的往复投切以及不能有效减少分接头调节次数的缺点 ,通过对显著影响电压无功控制效果的诸多因素的分析 ,依据变电站电压无功控制的基本原理制定了一种可在各种系统运行方式下对电压无功进行精确控制 ,减少调节次数避免电容器往复投切的控制策略。该策略严密、精确、易于在工程中实现 。

An Adaptive Spectral Conjugate Gradient Method with Restart Strategy

As a generalization of the two-term conjugate gradient method(CGM),the spectral CGM is one of the effective methods for solving unconstrained optimization.In this paper,we enhance the JJSL conjugate parameter,initially proposed by Jiang et al.(Computational and Applied Mathematics,2021,40:174),through the utilization of a convex combination technique.And this improvement allows for an adaptive search direction by integrating a newly constructed spectral gradient-type restart strategy.Then,we develop a new spectral CGM by employing an inexact line search to determine the step size.With the application of the weak Wolfe line search,we establish the sufficient descent property of the proposed search direction.Moreover,under general assumptions,including the employment of the strong Wolfe line search for step size calculation,we demonstrate the global convergence of our new algorithm.Finally,the given unconstrained optimization test results show that the new algorithm is effective.

Folded Hypercubes在PMC模型下的可诊断数

可诊断数是衡量多处理器系统可靠性的一个重要参数。文中通过对折叠立方体的可诊断性研究,证明了在PMC模型下,折叠立方体是(n+2)-可诊断的(n≥3),且是(2n+2)/(2n+2)-可诊断的(n≥4)。

Dissociated neural potential for processing strategies between decimals and fractions

The entity and symbolic fraction comparison tasks separating identification and semantic access stages based on event-related potential technology were used to investigate neural differences between fraction and decimal strategies in magnitude processing of nonsymbolic entities and symbolic numbers.The experimental results show that continuous entities elicit stronger left-lateralized anterior N2 in decimals,while discretized ones elicit more significant right-lateralized posterior N2 in fractions during the identification stage.On the other hand,decimals elicit stronger N2 over the left-lateralized fronto-central sites while fractions elicit the more profound P2 over the right-lateralized fronto-central sites and N2 at biparietal regions during the semantic access stage.Hence,for nonsymbolic entity processing,alignments of decimals and continuous entities activate the phonological network,while alignments of fractions and discretized entities trigger the visuospatial regions.For symbolic numbers processing,exact strategies with rote arithmetic retrieval in verbal format are used in decimal processing,while approximate strategies with complex magnitude processing in a visuospatial format are used in fraction processing.

一种优化的轴叶频提取方法

为避免轴频的漏检和重复检测,文章对倍频提取法中轴频假设值的选取进行了理论分析,提出精确提取和快速提取两种策略的优化轴叶频提取方法。精确提取策略下轴频提取精度较高,但算法运算量大;而快速提取策略在保证舰船辐射噪声的解调(Detection of Envelope Modulation on Noise,DEMON)谱分辨率的情况下可有效降低算法运算量,具有较好的工程实用性。仿真和海试数据验证了两种方法在不同场景应用的有效性。

Definition and Algorithms for Reliable Steiner Tree Problem

This paper considers a new form of the Steiner tree problem that is more practical and reliable,which we call Reliable Steiner Tree(RST)problem.The authors give a detailed definition for this new problem and design both an exact algorithm and an approximation algorithm for it.The definition is based on the reliability of full components instead of Steiner vertices.The task is thus to find the most reliable full components to make up an optimum reliable Steiner tree.The exact algorithm designed for this problem utilizes a dynamic programming frame.The approximation algorithm designed in this paper exploits a local search strategy that looks for the best full component according to a selection function at a time.