LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA

Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis. Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise. Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series, it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations. This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models, which extends the additive nonlinear times series to nonlinear structural vector autoregressive models. An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables. Simulations demonstrate the effectiveness of the nroosed method.     

地方文献与州市本科高校图书馆的特色化建设

地方文献特色化建设内容可以分为物质文化形态的地方文献资源、行为文化形态的地方文献建设和观念文化形态的地方文献理论.地方文献特色化发展的基本思路就是以文化层次结构理论审视地方文献系统,以组织形象设计理论指导地方文献建设,以地方文献的形象展示为落脚点推进学科建设和特色发展;其主要措施就是全面加强图书馆的馆藏资源建设、行为规范建设、文献理论建设和组织形象建设.     

A high-level synthesis based dual-module redundancy with multi-residue detection （DMR-MRD） fault-tolerant method for on-board processing satellite communication systems

On board processing （OBP） satellite systems have obtained more and more attentions in recent years because of their high efficiency and performance.However,the OBP transponders are very sensitive to the high energy particles in the space radiation environments.Single event upset （SEU） is one of the major radiation effects,which influences the satellite reliability greatly.Triple modular redundancy （TMR） is a classic and efficient method to mask SEUs.However,TMR uses three identical modules and a comparison logic,the circuit size becomes unacceptable,especially in the resource limited environments such as OBP systems.Considering that,a new SEU-tolerant method based on residue code and high-level synthesis （HLS） is proposed,and the new method is applied to FIR filters,which are typical structures in the OBP systems.The simulation results show that,for an applicable HLS scheduling scheme,area reduction can be reduced by 48.26％ compared to TMR,while fault missing rate is 0.15％.     

Privacy Quantification Model Based on the Bayes Conditional Risk in Location-Based Services

The widespread use of Location-Based Services(LBSs),which allows untrusted service providers to collect large quantities of information regarding users’locations,has raised serious privacy concerns.In response to these issues,a variety of LBS Privacy Protection Mechanisms(LPPMs)have been recently proposed.However,evaluating these LPPMs remains problematic because of the absence of a generic adversarial model for most existing privacy metrics.In particular,the relationships between these metrics have not been examined in depth under a common adversarial model,leading to a possible selection of the inappropriate metric,which runs the risk of wrongly evaluating LPPMs.In this paper,we address these issues by proposing a privacy quantification model,which is based on Bayes conditional privacy,to specify a general adversarial model.This model employs a general definition of conditional privacy regarding the adversary’s estimation error to compare the different LBS privacy metrics.Moreover,we present a theoretical analysis for specifying how to connect our metric with other popular LBS privacy metrics.We show that our privacy quantification model permits interpretation and comparison of various popular LBS privacy metrics under a common perspective.Our results contribute to a better understanding of how privacy properties can be measured,as well as to the better selection of the most appropriate metric for any given LBS application.     

苯并[1，2-b：4，5-b’]二噻吩-thieno[3，4-易]thiadiazole导电性的理论研究

采用密度泛函理论，在B3LYP／6—31G（d）水平下，对苯并[1，2-b：4，5-b’]二噻吩（BDT）-thieno[3，4-b]thiadiaz01e（TD）的低聚物和聚合物进行了理论计算．其中，BDT为电子供体，TD为电子受体，以1：2的方式结合形成化合物，并计算了二面角、分子内的电荷传输、桥键键长和中心键电荷密度．结果显示：随着聚合链增长，共轭程度增加．NICSs值显示：中心环比边环的共轭程度更大．聚合物的能带结构表明：该聚合物的带隙比较低（0．87eV），故其可以作为潜在的导电材料．     

航班运行风险网络的传播与控制改进

为探究航班运行风险的产生、传播与控制过程, 首先统计华北区域航班运行数据共计76个风险节点。然后，采用偏秩相关系数构建风险网络, 再使用社团模块探测算法与三角最大滤波法验证网络适用性。并且, 提出一种适用于航班运行风险分析的SEIR(susceptible-infected-exposed-recovered)模型。根据动力学传播结果, 聚类定位网络传播中关键节点。最后, 采用前置预防与战术处置两类控制方案。计算结果表明，仅控制5个节点后, 感染峰值可降低18.44%, 峰值时间推后两个周期, 起降等重要操纵节点被感染次数平均下降11.74%。该方案在感染峰值、感染周期、重要节点感染3个方面的抑制效果均占优。以上结果证实, 所提方案可有效用于航班运行风险问题分析。     

四川羌族成人皮褶厚度的研究

运用人体测量学方法对四川羌族602例(男299例,女303例)成年人进行7项皮褶(面颊、肱二头肌、肱三头肌、肩胛下、髂嵴上、髂前上棘、小腿内侧)厚度的测量,分析该族群皮褶厚度随年龄变化的特征,并与我国部分族群进行比较.结果表明:(1)四川羌族男性和女性的躯干皮褶厚度总体上高于面部和四肢皮褶厚度,后者最低;(2)男性和女性的7项皮褶中,均是髂嵴上皮褶厚度最大,肱二头肌皮褶厚度最小;(3)女性的皮褶厚度和体脂率均高于同年龄组男性的数值,性别间差异均具有统计学意义(P0.05);(4)男性和女性各项皮褶、体脂率之间均存在正相关,相关性具有高度统计学意义(P0.01);(5)同西部地区13个族群基于皮褶厚度的聚类分析结果表明,羌族男性与甘肃汉族最接近,羌族女性与四川汉族、贵州屯堡人最接近.     

基于两次异常检测的雷达HRRP杂波稳健目标识别方法

对地目标识别中,目标回波中将不可避免的含有大量杂波,严重影响识别性能。针对该问题,提出了杂波稳健识别方法,该方法首先采用基于球形假设聚类的异常检测方法,完成小簇杂波的抑制;然后利用参数非依赖局部异常因子异常检测法对剩余散射点进行异常检测,完成点杂波的抑制;最后利用杂波抑制后的高分辨距离像进行特征提取和目标识别。本文方法对目标是否运动无要求,算法涉及参数不需要人为设定。实测数据验证表明,所提方法的识别率优于传统方法,随着信杂噪比降低识别性能稳健,且运算量较小。     

不同农药残留标准下家庭农场种植行为选择

文章建立了政府与家庭农场农户之间的博弈模型,探讨在不同农药残留标准下政府如何对生态种植行为进行激励.研究表明,在宽松的农药残留标准下,政府可通过征收农药税等方式提高农药成本来激励农户选择生态种植,生态补贴及超标罚款的效果不明显;在严格的农药残留标准下,当农产品抽查难度较大时,政府可选择降低检查概率,同时大幅度提高农药价格来增加农户使用生态种植的动机;当政府对农药成本控制力较低或农药价格增量的边际效益较小时,政府应提高其检查概率,同时提高对于农药残留超标的罚款及生态种植的补贴来激励农户使用生态种植.