Terahertz detectors based on superconducting hot electron bolometers

Low noise terahertz(THz)heterodyne detectors based on superconducting niobium nitride(NbN) hot electron bolometers(HEBs)have been studied.The HEB consists of a planar antenna and an NbN bridge connecting across the antenna’s inner terminals on a high-resistivity Si substrate.The double sideband noise temperatures at 4.2 K without corrections have been characterized from 0.65 to 3.1 THz.The excess quantum noise factor β of about 4 has been obtained,which agrees well with the calculated value.Allan variance of the HEB has been measured,and Allan time up to 20 s is obtained using a microwave feedback method.Also,the intermediate frequency gain bandwidth(GBW)was measured using two dierent methods,resulting in same GBW value of about 3.5 GHz.     

邻域等价关系诱导的改进ID3决策树算法

经典ID3决策树算法适用于离散型数据分类,但用于连续处理时需要数据离散化容易导致信息损失。提出邻域等价关系从而诱导邻域ID3(NID3)决策树算法,NID3算法改进了ID3决策树算法,能够直接实施连续预测并获取更好的分类效果。在邻域决策系统中,挖掘一种邻域等价关系;基于邻域等价粒化,构建邻域信息度量;基于邻域信息增益,设计NID3决策树算法。实例分析与数据实验均表明,NID3算法具有连续数据分类预测有效性,在分类机器学习中优于ID3算法。     

基于改进HBA算法的生鲜闭环供应链网络鲁棒优化设计

针对生鲜闭环供应链网络设计问题,建立了一种基于生鲜闭环供应链网络的鲁棒优化模型,以解决供应链网络中的不确定性问题。首先,针对涵盖五个节点的生鲜供应链网络结构建立了多周期、多产品,以最小化成本、最小环境影响为目标的混合整数规划模型,采用模糊折中规划与区间数据鲁棒优化方法进行处理;其次,在原有蜜獾算法的基础上引入差分进化原则,增强算法的全局搜索能力与收敛速度;最后,通过MATLAB数值分析与仿真实例表明,所提鲁棒优化模型与蜜獾算法在求解生鲜闭环供应链网络设计问题中具有明显优势。     

一种基于协同作用网络的特征模块搜索算法

如何利用数据挖掘领域的特征选择技术,从高维复杂的组学数据中提取关键特征一直是研究重点。对此,针对组学数据特征间存在的复杂关联关系进行研究,提出了基于协同作用网络的特征模块搜索算法。该算法利用交互增益值构建协同作用网络,通过衡量候选节点与当前特征模块连接的紧密程度,同时结合节点自身分类性能实现模块搜索,确定重要特征。在十个数据集上对该算法的性能进行了测试分析,在分类准确率、灵敏度、特异性三项指标上该算法与对比算法相比均有优势,这表明其所确定的网络模块性能更优。     

Gain‐scheduled dynamic output feedback control for discrete‐time LPV systems

This paper presents synthesis conditions for the design of gain‐scheduled dynamic output feedback controllers for discrete‐time linear parameter‐varying systems. The state‐space matrix representation of the plant and of the controller can have a homogeneous polynomial dependency of arbitrary degree on the scheduling parameter. As an immediate extension, conditions for the synthesis of a multiobjective ??_∞ and ??₂ gain‐scheduled dynamic feedback controller are also provided. The scheduling parameters vary inside a polytope and are assumed to be a priori unknown, but measured in real‐time. If bounds on the rate of parameter variation are known, they can be taken into account, providing less conservative results. The geometric properties of the uncertainty domain are exploited to derive finite sets of linear matrix inequalities based on the existence of a homogeneous polynomially parameter‐dependent Lyapunov function. An application of the control design to a realistic engineering problem illustrates the benefits of the proposed approach. Copyright © 2011 John Wiley & Sons, Ltd.     

单片机控制弧焊电源外特性的研究

本文ＺＸＧ－２５０型硅整流弧焊机为例，介绍了采用ＭＣＳ－５１单片微机控制弧焊电源外特性的原理和方法。阐述了闭环控制系统的硬件结构和软件特点。实验表明，采用微机控制后的弧焊电源，不仅可以实现多种外特性，而且系统的静、动特性及控制特性均得到改善，焊接电流可按预定的工艺曲线输出和实现数字显示，并能实现对故障的自诊断和自处理。     

Fast network intrusion detection system using adaptive binning feature selection

Aiming at the problems of the low detection rate of traditional intrusion detection systems and the long training and detection time of intrusion detection systems based on deep learning,an adaptive binning feature selection algorithm using the information gain is proposed,which is combined with LightGBM to design a fast network intrusion detection system.First,the original data set is preprocessed to standardize the data;then the redundant features and noise in the original data are removed through the adaptive binning feature selection algorithm,and the original high-dimensional data are reduced to the low-dimensional data,thereby improving the accuracy of the system and reducing the training and detection time;finally,LightGBM is used for model training on the training set selected by the characteristics to train an intrusion detection system that can detect attack traffic.Through verification on the NSL-KDD data set,the proposed feature selection algorithm only takes 27.35 seconds in feature selection,which is 96.68% lower than that by the traditional algorithm.The designed intrusion detection system has an accuracy rate of 93.32% on the test set,and its training time is low.Compared with the existing network intrusion detection system,the accuracy rate of the proposed system is higher,and its model training speed is faster.     

电子束钎焊温度模糊控制系统

将被焊工件温度模糊控制技术应用于电子束扫描钎焊中,所研发的系统集成了电子束焊接过程控制、电子束扫描轨迹控制、工件温度模糊控制、焊接数据高速采集与存储等多项功能.通过扫描轨迹的编辑与控制,可以适应各种形状曲线钎焊缝的温度场要求;在电子束对工件进行扫描加热的同时,通过温度采集装置实时得到被焊工件的温度信号并与设定值进行对比从而得到温度偏差及偏差的变化率作为模糊控制器的两个输入变量,以模糊控制器输出控制量调节电子束流大小,从而实现钎焊温度的闭环控制.控制系统具有响应速度快、稳定时间短、稳态误差小、超调量小等特点,表明在电子束钎焊过程中采用模糊控制技术可以得到非常理想的控制效果.     

紧耦合分布式系统中的故障过滤算法*

分布式系统中的各部分在运行过程中,由于外界或自身因素的影响,会产生瞬态故障、间歇故障或永久故障,要处理故障,首先必须识别出严重故障.增量/减量过滤算法根据故障性质、出现频率和严重程度,设置增量、减量和门限值,实现灵活的故障过滤策略,保证系统可靠、稳定地运行.     

变频开关电源Fuzzy-PID控制器的设计

针对感应式变频开关电源在对金属材料进行热处理过程中，负载的等效参数和谐振频率发生变化，而变频电源的输出频率不能及时调整和跟踪的问题，结合PID和Fuzzy控制技术的优点，设计Fuzzy-PID控制器对变频电源进行控制，在大偏差时用Fuzzy控制，在小偏差时用PID调节。Fuzzy-PID控制器以单片机8098为核心，采用SPWM专用芯片SA4828，实现变频开关电源的电压、电流双闭环控制，使变频电源不仅具有较快的动态响应、更小的超调，并且具有较高的稳态精度和频率跟踪控制特性。