基于信号相位搜索的WSN节点定位算法

节点定位是无线传感器网络（wireless sensor network,WSN）研究的热点问题之一,基于信号相位信息与物理距离间的关系提出了基于信号相位搜索的WSN节点定位算法。该算法首先根据节点间信号相位信息,基于余弦相似性算法原理构建目标函数,将WSN节点定位问题转换为目标函数最优解搜索问题;然后基于质心定位算法原理确定搜索初始像素单元;最后利用梯度下降法替代逐像素单元的遍历搜索,在不影响定位精度情况下进一步提高定位效率,减小定位功耗。仿真实验结果表明,该算法的各项指标良好,适用于WSN的节点定位。     

Noncovalent Functionalized Graphene-Filled Polyimides with Improved Thermal,Mechanical, and Wear Resistance Properties

A facile method is proposed to prepare poly-o-phenylenediamine (PoPD) noncovalent functionalized graphene (G)-reinforced polyimide (PI) nanocomposites. PoPD-G exhibited excellent dispersibility in various organic solvents. The structures of PoPD-G were characterized by Raman and UV spectrum, which verified the π–π interactions between PoPD and G. The effective exfoliation of graphene nanosheets was investigated by observation of the morphology of PoPD-G with SEM, SPM, and TEM. Compared to PI/G composites, the interfacial adhesion between graphene nanosheets and PI matrices promoted efficient stress transfer from PI chains to PoPD-G nanofillers. Polyimide nanocomposites with different incorporations of PoPD-G exhibited outstanding thermal properties. It is interesting to note that only 0.5 wt% PoPD-G-reinforced PI composites increased by 20.8% in hardness, enhanced by 84.0% in storage modulus, and reduced by 72.8% in wear rate compared with neat PI. The eminent enhancement was attributed to the facile dispersion of graphene nanosheets and strong interface adhesion between PI and PoPD-G.     

基于遗传蜂群算法的运动想象BCI系统导联选择*

在运动想象脑-机接口系统中,常采用高密度导联获取脑电信号,导致实验准备时间长,系统运行速度慢,性能变差等问题。针对上述不足,本文提出了一种基于遗传算子的蜂群算法用于导联优选,引入交叉和变异算子以提高蜂群算法的邻域搜索能力。通过对第四届国际BCI 竞赛 Dataset 1中四名被试者(a,b,f和g)的59导联运动想象数据进行导联优选,用多类CSP算法和支持向量机对优选导联数据进行特征提取和分类识别。结果表明所提出的算法在大大降低了导联维数的同时,也得到了比采用全部导联更高的分类识别率,验证了本文所提算法的实用性和有效性。     

“一纵三横”模式下供电企业全员绩效考核体系的构建

绩效管理是企业将战略转化为行为的过程,是战略管理的一个重要构成要素,是人力资源管理的重要环节。"一纵三横"绩效考核体系是基于供电企业现状,对绩效管理的一次探索,它通过全方位、多层次、全过程的考核,有效地将企业发展目标层层分解到单位、岗位,实现了责任分解、压力传递,建立了组织和员工"利益共同体",为企业目标的实现提供了有力的激励约束机制。     

电能计量装置接线异常分析方法的探讨

文章采用相量图法对三相三线电能表接线异常进行带电检查,通过测量二次侧电压、电流及相关相位角等参数,并与正确接线下对应参数进行对比、分析、判断差错原因。     

火电厂工程项目管理创新模式及基建实践探讨

由于火电厂建设具备"投资大、专业性强、工期长、占地面积大、交叉作业多、施工工序复杂、危险系数大"等特点,基建管理难度大,为此强化项目管理创新显得尤为重要。"六精"管理模式是华电六安电厂在基建期间为实现"精品创优"目标不断总结、提炼而成的项目管理创新成果,并在实践中取得了良好的综合效益,具有实践效果佳、操作性好、可参考性强等特点。     

干旱区土壤中西瓜专化型尖孢镰刀菌拮抗菌的筛选及分类

针对宁夏中部干旱带压砂西瓜田长期连作种植所产生的土壤退化、土壤养分含量降低、土壤真菌性病害增加、西瓜减产、品质下降等问题,从患病的西瓜植株上分离出致病菌-尖孢镰刀菌西瓜专化型(Fusarium oxysporum f.sp.niveum),从宁夏环香山地区压砂瓜集中连片种植区采集健康土壤中分离筛选对西瓜枯萎病致病菌有抑菌效果的拮抗菌株,并对拮抗菌株的防病效果以及分类鉴定进行了研究。通过采用平板稀释法筛选出对目标靶具有拮抗作用的拮抗细菌。通过初筛选取8株对目标靶具有拮抗作用的细菌进一步进行复筛试验。经过数据分析,G-1的抑菌率最大,且与其他处理间存在显著性差异,筛选出对目标靶拮抗最强的拮抗菌为G-1。根据形态学观察、细菌生理生化鉴定和16 S r DNA序列的同源性分析,确定拮抗菌株G-1为萎缩芽孢杆菌(Bacillus atrophaeus)。     

High-speed photographic observation of collapse of two cavitation bubbles

Cavitation as a hydrodynamic phenomenon exists widely in water conservancy, shipbuilding, chemical and many other industries. Previous cavitation bubble dynamic studies mainly focused on single cavitation bubbles and their interaction with the wall. This paper studies the interaction between two cavitation bubbles under conditions with or without a wall. The results show that if the inception of two cavitation bubbles is not synchronized, the cavitation bubble of early inception collapse backwards the cavitation bubble of later inception; if the inception of two cavitation bubbles is synchronized, the two bubbles collapse towards each other; if a wall exists nearby, no matter whether the line connecting the centers of the two cavitation bubbles is vertical or parallel to the wall, the two cavitation bubbles collapse towards each other and then gradually merge, and the merged collapse body quickly moves to the wall. It is suggested that, as the number of cavitation bubbles increases, the cavitation erosion effect is not simply increased proportionally. Instead, mutual inhibitory effect may be demonstrated.     

多制式移动终端身份感知系统研究

移动终端的合法监管是国家安全部门保障移动网络安全的重要手段,获取移动终端身份标识是实现监管的基础.首先阐述了移动终端的主要身份标识,以及监管系统相关研究现状;然后给出一种面向双频点GSM网络和WCDMA网络的多制式移动终端身份感知系统设计方案,阐明系统技术原理与实现方法,并提出对该系统进行优化的技术方案;最后进行测试,验证了方案的可行性.     

Machine-learning-aided precise prediction of deletions with next-generation sequencing

When detecting deletions in complex human genomes,split-read approaches using short reads generated with next-generation sequencing still face the challenge that either false discovery rate is high,or sensitivity is low.To address the problem,an integrated strategy is proposed.It organically combines the fundamental theories of the three mainstream methods(read-pair approaches,split-read technologies and read-depth analysis) with modern machine learning algorithms,using the recipe of feature extraction as a bridge.Compared with the state-of-art split-read methods for deletion detection in both low and high sequence coverage,the machine-learning-aided strategy shows great ability in intelligently balancing sensitivity and false discovery rate and getting a both more sensitive and more precise call set at single-base-pair resolution.Thus,users do not need to rely on former experience to make an unnecessary trade-off beforehand and adjust parameters over and over again any more.It should be noted that modern machine learning models can play an important role in the field of structural variation prediction.