基于半监督深度学习法的网络大数据集成挖掘

传统的数据集成挖掘方法在集成与挖掘两个步骤之间存在较大误差,导致大数据出现乱码问题,数据显示不全.为解决上述问题,提出基于半监督深度学习法的大数据集成挖掘方法.利用有监督与无监督深度学习间的机器学习,组成半监督深度学习.利用支持向量数据组建立超球体.依据超球体结合标记样本,组建半监督深度学习数据检测模型,筛选样本特征词,利用半监督深度学习方法训练单分类SVDD模型,实现网络大数据集成挖掘.仿真结果证明,所提方法能够高精度、高效的对大数据完成集成挖掘,具有理想的应用性能.     

基于python远程主机监控软件的设计与实现

针对网络运维工作中由于服务器主机空间分散导致值勤效率不高的问题,设计了一款可监控远程服务器运行信息的软件.软件基于python的psutil和wmi模块采集远程主机的运行信息,基于UDP套接字传送相关信息,基于SQLite数据库存储信息和Tkinter标准库设计了,运行信息在GUI进行展示.对软件进行实际环境部署并测试,运维人员可在监控端直接查看多台服务器的各类关键信息及运行状态.     

Fixed‐time synchronization for complex‐valued BAM neural networks with time delays

In this paper, the fixed‐time synchronization for complex‐valued bidirectional associative memory (BAM) neural networks with time delays is studied. Based on the fixed‐time stability, the Lyapunov functional method and some inequality techniques, a new criterion is presented to guarantee that the addressed systems achieve synchronization in fixed time and a more accurate estimation independent of the initial conditions is given for the settling time. Meanwhile, a new nonlinear delayed controller different from the existing ones is designed. In the end, two numerical examples are provided to illustrate the effectiveness of the obtained result.     

Global Avalanche Characteristics of Boolean Functions by Concatenation

In order to measure the correlation propeties of two Boolean functions,the global avalanche characteristics of Boolean functions constructed by concatenation are discussed,i.e.,f_1‖f_2and f_1‖f_2‖f_3‖f_4.Firstly,for the function f = f_1‖f_2,the cross-correlation function of f_1,f_2 in the special condition are studied.In this case,f,f_1,f_2 must be in desired form.By computing their sum-of-squares indicators,the crosscorrelation function between f_1,f_2 is obtained.Secondly,for the function g = f_1‖f_2‖f_3‖f_4,by analyzing the relation among their auto-correlation functions,their sum-of-squares indicators are investigated.Based on them,the sum-of-squares indicators of functions obtained by Canteaut et al.are investigated.The results show that the correlation property of g is good when the correlation properties of Boolean functions f_1,f_2,f_3,f_4 are good.     

遥感蒸散发数据应用对SWAT模型径流和蒸散发模拟精度的影响

为探讨遥感蒸散发数据补充研究区水文资料的能力,及其在SWAT模型应用中对径流和蒸散发模拟精度的影响。以淮河上游息县控制流域为研究区建模,并利用实测径流资料与遥感蒸散发数据(MOD16A2)设置3种参数率定情景:仅实测径流率定参数(S1)、仅遥感蒸散发率定参数(S2)、径流与蒸散发同时率定参数(S3),分析不同情景下径流与蒸散发过程的模拟效果。结果表明:从径流模拟而言,S2、S3较S1的模拟精度(NS系数)均有不同程度的降低,但S3在S2的基础上有较明显的改善;从子流域尺度上的蒸散发模拟而言,S1至S3模拟精度呈现出逐渐上升的趋势,在采用径流与蒸散发同时率定时,S3比S2情景NS系数上升的子流域个数占总数的46%。通过逐步深入探究遥感蒸散发数据在SWAT模型中的应用,以及对参数率定的影响,从而分析其对径流与蒸散发的模拟精度产生的变化,此方法也可推广到其他水文模型,在区域尺度水资源管理与利用上具有较好的参考价值。     

N-Fe共掺杂BiVO_4的制备及其光催化活性的研究

采用溶胶凝胶法制备了N和Fe共掺杂的Bi VO4可见光光催化剂,并用X射线衍射(XRD)、比表面积测试(BET)和紫外-可见漫反射谱(UV-Vis DRS)对其进行了表征.结果显示,N-Fe共掺杂对Bi VO4晶型没有产生影响,掺杂前后均为单斜晶系,但晶粒粒径有所减小,BET比表面积相对增大.由UV-Vis可知,N-Fe共掺杂的Bi VO4的吸光强度明显增强,禁带宽度变窄.以可见光降解甲基橙(MO)考察催化剂的光催化活性,N-Fe共掺杂的Bi VO4对MO的降解速率明显高于纯Bi VO4,证明N-Fe共掺杂产生的协同效应提高了Bi VO4在可见光照射下的光催化活性.     

电动汽车跨区域充换电计量计费清分结算研究

为确保电动汽车跨区域充换电顺利完成电费结算,研究了跨区域充换电的交易流程,并提出一种成本清分和收入清分的方法,并建立了运营商运营成本模型和客户支付充换电的费用单价模型.在此基础上,设计开发了一套清分结算系统,并对上述两个模型的实用性加以论证,为实施跨区域充换电提供参考.     

活性粉末混凝土微观层面的研究进展

作为新型水泥基复合材料,活性粉末混凝土具有高强度,高韧性以及高耐久性等优异性能,在桥梁与路面工程、建筑工程、水利工程和特种结构等领域拥有广阔的应用前景.但由于组成中活性组分多,内部结构复杂,微观机理研究尚不够明确,难以为材料的宏观性能提供明确的理论依据.介绍了活性粉末混凝土的基本组成、各组分产生的反应及影响因素,总结了国内外学者对活性粉末混凝土微观形貌及孔结构等的研究成果,更进一步地提出了现阶段微观层面研究和材料本身所存在的问题,指出了发展趋势,并进行了分析和讨论.     

相邻锅炉一次热风联络技术在CFB锅炉上的应用

针对循环流化床锅炉冷态启动用油量较大的问题,采用两台相邻锅炉一次热风风道联络的方法,实践中利用邻炉一次热风进行锅炉冷态启动,以煤代油缩短锅炉点火投油时间。结果表明:此方法使锅炉冷态启动时的用油量大幅下降,达到了显著的节能效果,并在此基础上展望了一次热风联络技术在锅炉防腐保养、冬季防冻等方面的应用前景。     

A Fully Differential Interface Circuit of Closed-loop Accelerometer with Force Feedback Linearization

In this paper,a fifth-order fully differential interface circuit（ IC） is presented to improve the noise performance for micromechanical sigma-delta（ Σ-Δ） accelerometer. A lead compensator is adopted to ensure the stability of the closed-loop high-order system. A low noise capacitance detection circuit is described with a correlated-double-sampling（ CDS） technique to decrease 1 /f noise and offset of the operational amplifier. This paper also proposes a self-test technique for the interface circuit to test the harmonic distortion. An electrostatic force feedback linearization circuit is presented to reduce the harmonic distortion resulting in larger dynamic range（ DR）. The layout of the IC is implemented in a standard 0. 6 μm CMOS technology and operates at a sampling frequency of 250 kHz. The interface consumes 20 mW from a 5 V supply. The post-simulation results indicate that the noise floor of the digital accelerometer is about- 140 dBV /Hz1 /2at low frequency. The sensitivity is 2. 5 V /g and the nonlinearity is 0. 11%. The self-test function is achieved with 98. 2 dB thirdorder harmonic distortion detection based on the electrostatic force feedback linearization.