基于神经网络的特征分析在烟叶分级中的应用。

通过数字图像技术可以自动提取烟叶的颜色和形状特征,而不同特征值对分部位、颜色和等级的决定程度不同,文章结合广义回归神经网络定性分析各种不同特征对部位或颜色分级的影响,分别得到对分部位、颜色和等级有决定影响的特征量,通过建立不同神经网络得到最终等级。     

数字水印攻击及对策分析

数字水印技术作为数字媒体版权保护的重要手段越来越引起人们的重视。文章讨论了数字水印的概念、特征,重点介绍了数字水印的鲁棒性及影响数字水印鲁棒性的因素,总结和分析了数字水印主要攻击方式并提出相应的应对措施。     

图形图像制作软件中的色彩模式分析

色彩模式是在数字处理过程中处理色彩的基本标准,其是以颜色模型为基础,利用数字定量对颜色进行描述的方法。针对图形图像制作软件中的色彩模式进行分析。     

Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network

The rapidly increasing popularity of mobile devices has changed the methods with which people access various network services and increased network traffic markedly. Over the past few decades, network traffic identification has been a research hotspot in the field of network management and security monitoring. However, as more network services use encryption technology, network traffic identification faces many challenges. Although classic machine learning methods can solve many problems that cannot be solved by port- and payload-based methods, manually extract features that are frequently updated is time-consuming and labor-intensive. Deep learning has good automatic feature learning capabilities and is an ideal method for network traffic identification, particularly encrypted traffic identification; Existing recognition methods based on deep learning primarily use supervised learning methods and rely on many labeled samples. However, in real scenarios, labeled samples are often difficult to obtain. This paper adjusts the structure of the auxiliary classification generation adversarial network (ACGAN) so that it can use unlabeled samples for training, and use the wasserstein distance instead of the original cross entropy as the loss function to achieve semisupervised learning. Experimental results show that the identification accuracy of ISCX and USTC data sets using the proposed method yields markedly better performance when the number of labeled samples is small compared to that of convolutional neural network (CNN) based classifier.     

A Hybrid Planning Approach for Accompanying Information-gathering in Plan Execution Monitoring

Journal of Intelligent & Robotic Systems - In this work, we present a new mathematic model for the flight of a bird-scale flapping-wing aerial vehicle, in which the impacts of the wing inertia...     

Observer‐based Reliable Control for Discrete Time Systems: An Average Dwell Time Approach

This paper deals with the problem of reliable control for discrete time systems with actuator failures. The actuator is assumed to fail occasionally and can recover over a time interval. During the time of suffering failures, the considered closed‐loop system is assumed unstable. Using an average dwell time method and under the condition that the activation time ratio between the system without actuator failures and the system with actuator failures is not less than a specified constant, an observer‐based feedback controller is developed in terms of linear matrix inequalities such that the resulting closed‐loop system is exponentially stable. An example is included to demonstrate the effectiveness of the proposed approach.     

一个PASCAL结构编辑器的设计与实现

本文对一个新的PASCAL结构编辑编辑器PSE（PASCAL Structured Editor）的系统结构和功能进行了概括的描述。在设计和实现PSE时,作者提出了一种新的程序内部表示法,即所谓“文本-树”表示。与以往的程序内部表示相较,这种表示方法具有占用内存量小,光标控制及编辑操作简便以及无须进行内部语法树与行式文件间的转换等特点。实践证明,基于此种表示的语法制导编辑器是易于实现的,其工作效率是较高的。     

基于卡尔曼滤波的电力虚假数据注入攻击检测方法

能源互联网的主体是基于状态估计下的电力系统。虚假数据注入攻击（FDIA）通过恶意篡改或注入电力数据,进而引发错误的状态估计结果。这种攻击方式存在引发大面积停电事故的风险,严重影响能源互联网的正常运行。在matpower 4.0中的IEEE-14节点系统上,利用以残差方程为基础的标准残差检测法和目标函数极值法,对FDIA进行了检测实验。提出了一种基于卡尔曼滤波的FDIA检测方法,并在MATLAB上进行了验证。实验结果表明,该方法可以在短时间内发现FDIA的发生。     

较小半径溢洪弯道急流超高的研究

为了探求急流弯道的超高及其相关的影响因素,通过对较小半径弯道急流的水流现象的描述,指出较小半径弯道凹岸水流受惯性离心力和冲击力的共同作用。在此基础上,利用动量原理,推导出了较小半径弯道水流超高公式,与试验资料对比,该理论的合理性得到了证实。还讨论了弯道水流各因素同超高的关系,结果表明,弯道的超高和宽度几乎成正比,弯道的转角影响超高很大,当弯道半径越小,其超高将增加越快。