Neural network-based adaptive decentralized learning control for interconnected systems with input constraints

In this paper, the neural network-based adaptive decentralized learning control is investigated for nonlinear interconnected systems with input constraints. Because the decentralized control of interconnected systems is related to the optimal control of each isolated subsystem, the decentralized control strategy can be established by a series of optimal control policies. A novel policy iteration algorithm is presented to solve the Hamilton–Jacobi–Bellman equation related to the optimal control problem. This algorithm is implemented under the actor-critic structure where both neural networks are simultaneously updated to approximate the optimal control policy and the optimal cost function, respectively. The additional stabilizing term is introduced and an improved weight updating law is derived, which relaxes the requirement of initial admissible control policy. Besides, the input constraints of interconnected systems are taken into account and the Hamilton–Jacobi–Bellman equation is solved in the presence of input constraints. The interconnected system states and the weight approximation errors of two neural networks are proven to be uniformly ultimately bounded by utilizing Lyapunov theory. Finally, the effectiveness of the proposed decentralized learning control method is verified by simulation results.     

基于三帧差分法和改进ViBe算法的前景检测方法

在运动目标检测众多算法中,ViBe算法是一种快速并且高效的运动目标检测算法,在视频监控领域得到广泛的应用.但是这种方法存在对鬼影的消除速度缓慢,容易形成拖影,而且容易发生漏检,易受到噪音的干扰.当物体运动状态变化缓慢时,原位移区域会留下残影等现象.论文针对以上问题提出了一种结合三帧差分算法的改进的ViBe算法,改进背景模型的初始化来对鬼影进行消除,并且加快鬼影的消除速度.采用自适应阈值来提高检测效果,针对背景中存在的噪声和空洞点采用形态学处理来对其进行消除.实验结果表明,改进的算法可以在很短的时间内就可以消除鬼影,并且在消除噪声和空洞等方面有很好的效果.     

异常声音检测中模型压缩算法研究

深度学习已经在视觉、语音等领域取得了巨大的成功,随着深度学习性能不断的提升,模型的参数也在不断增加.针对如何在保证模型准确度的同时降低模型大小,使其能够部署在物联网设备上的问题,提出了一种异常声音检测模型与模型压缩算法.异常声音检测模型主要包括端点检测、特征提取、卷积检测模型.针对卷积模型较大的问题,提出了一种模型压缩算法,通过计算节点的输入输出权重之和,裁剪对模型影响较小的节点.实验表明,该异常声音检测模型与压缩算法在保持模型准确度的同时,可以一定程度上降低模型的大小.     

The mass,fake news,and cognition security

The widespread fake news in social networks is posing threats to social stability, economic development, and political democracy, etc. Numerous studies have explored the effective detection approaches of online fake news, while few works study the intrinsic propagation and cognition mechanisms of fake news. Since the development of cognitive science paves a promising way for the prevention of fake news, we present a new research area called Cognition Security (CogSec), which studies the potential impacts of fake news on human cognition, ranging from misperception, untrusted knowledge acquisition, targeted opinion/attitude formation, to biased decision making, and investigates the effective ways for fake news debunking. CogSec is a multidisciplinary research field that leverages the knowledge from social science, psychology, cognition science, neuroscience, AI and computer science. We first propose related definitions to characterize CogSec and review the literature history. We further investigate the key research challenges and techniques of CogSec, including humancontent cognition mechanism, social influence and opinion diffusion, fake news detection, and malicious bot detection. Finally, we summarize the open issues and future research directions, such as the cognition mechanism of fake news, influence maximization of fact-checking information, early detection of fake news, fast refutation of fake news, and so on.     

市场机制下建筑节能相关利益主体博弈研究

充分发挥市场机制对节能产品的调控作用是市场经济的基本内容。通过对建筑节能市场发展中存在的相关问题研究,发现我国建筑节能市场的外部性和信息不对称性是产生问题的根源。全面分析建筑节能市场中政府、开发商、消费者以及其他服务组织等利益主体对市场培育的核心作用,通过构建政府与开发商、开发商与消费者之间的动态博弈模型,研究相关利益主体进一步完善建筑节能市场应采取的对策。     

2-（4-氯苯氨基）甲基苯酚降解的动力学研究

采用高效液相色谱技术,开展了Fenton试剂对2-（4-氯苯氨基）甲基苯酚（CMP）的氧化降解动力学的研究。考察了初始双氧水摩尔浓度、亚铁离子摩尔浓度和温度等因素对CMP降解速率的影响,结果表明,当双氧水摩尔浓度、亚铁离子摩尔浓度增大和温度升高时,CMP的氧化速率明显加快。在30~45℃的温度范围内,其氧化降解符合假一级反应动力学模型,反应的表观活化能Ea为102.90kJ/mol。     

基于List集合的多条件查询优化算法研究

在数据库应用程序的研发过程中,经常涉及到对数据表的任意字段进行任意形式的组合查询,这样可以大大缩小查询范围,这就是多条件查询。文章首先对多条件查询的常用方法予以介绍,包括枚举法、递进法;最后笔者给出防止注入攻击的基于List集合的多条件查询优化算法。同时,为了提高性能,避免产生垃圾内存,SQL语句都使用StringBuilder类来创建字符串实例进行拼接,文中的代码均在VS2008平台下运行通过。     

智能缝制设备嵌入实时软件平台的定制与实现*

依据智能缝制设备数字化、网络化的应用特点,首先分析了面向智能缝制设备的嵌入式系统体系结构,重点研究了基于Linux开发面向领域的网络化嵌入实时软件平台的关键技术和方法。目前,基于该方法所实现的嵌入式软件平台已被成功应用于新型的电子花样缝纫机。     

一种计算氢扩散系数的新方法

利用电化学氢渗透曲线来计算室温附近氢在金属中的扩散系数是一种广为应用的方法。从理论上讲,在氢渗透曲线上的任何一点上都可以计算出氢在金属晶格中的扩散系数。但是从实际获得的氢渗透曲线各点算得的氢扩散系数并不一致。这是因为在金属中,一般都不可避免地存在一些氢的陷阱,如位错、晶界、杂质原子等,它们会不同程度地阻碍氢在金属晶格中的扩散过程。而理论推导本身并没有考虑到氢陷阱存在的影响,因此实际得     

Influence of electroplating conditions on magnetic properties of Fe-36wt.% Ni alloy film

A Fe-Ni soft magnetic film was prepared in sulphate solution by electroplating. The influences of the molar ratio of n [Fe2+ ]/ n [Ni2+ ], current density, bath temperature, pH and L-ascorbic acid concentration on magnetic properties of Fe-Ni alloy film were investigated. The results show that the saturated flux density(BS) of the film increases initially and decreases after it reaches the specific value with the increase of n [Fe2+ ]/ n [Ni2+ ] molar ratio, current density, bath temperature and pH. However, the relationship between L-ascorbic acid concentration and B S keeps linear. It is observed that the coercive force( Hc) is enhanced with the increase of n [Fe2+ ]/ n [Ni2+ ] molar ratio, current density and pH. By comparison, when the bath temperature increases, Hc always decreases. With the increase of L-ascorbic acid concentration, the coercive force increases initially and then decreases.