一种主动网络管理模型的设计与研究

在分析传统网络管理面临困难的基础之上提出了一种新型的主动网络分布式管理模型,讨论了传统网络管理中存在的问题,分析了主动网络管理体系结构与管理机制.重点研究了节点结构、Smart的组成、管理机制、包的格式、编程语言和设计目标,以及安全性.     

Nonlinear integral resonant controller for vibration reduction in nonlinear systems

A new nonlinear integral resonant controller (NIRC) is introduced in this paper to suppress vibration in nonlinear oscillatory smart structures. The NIRC consists of a first-order resonant integrator that provides additional damping in a closed-loop system response to reduce high-amplitude nonlinear vibration around the fundamental reso-nance frequency. The method of multiple scales is used to obtain an approximate solution for the closed-loop system. Then closed-loop system stability is investigated using the resulting modulation equation. Finally, the effects of different control system parameters are illustrated and an approximate solution response is verified via numerical simulation results. The advantages and disadvantages of the proposed controller are presented and extensively discussed in the results. The controlled system via the NIRC shows no high-amplitude peaks in the neighboring frequencies of the resonant mode, unlike conventional second-order compensation methods. This makes the NIRC controlled system robust to excitation frequency variations.     

基于物联网技术的智慧校园应用研究

物联网技术运用到智慧校园系统中,实现校园的智慧化服务和管理模式。例如,智能消费管理、智能教学管理、智能安防管理等应用,将带来创新模式下的智能化的数字校园管理。     

智能卡操作系统高速下载设计

通过对智能卡下载机制的研究,进行改进设计提高智能卡操作系统的下载速度。     

校园一卡通系统的开发与安全实现

介绍了校园一卡通系统的结构和智能卡的应用规划,对一卡通的网络安全建设进行了分析研究。     

Brush drawing multifunctional electronic textiles for human-machine interfaces

Electronic textiles are a promising candidate for futuristic multifunctional clothes. However, the fabrication of robust and reproducible printed electrodes with high mechanical durability, high biocompatibility, and stable electrical performance under various mechanical deformations continues to pose a challenge. In this study, a silk fabric with printed carbon nanotube (CNT) patterns is used to produce a smart electronic textile (E-textile) for multifunctional applications. The printed CNT electrodes are used in triboelectric devices, electrically activated heaters, real-time electrophysiological sensors, and tactile sensors. The E-textile can be used as an electrically activated thermal patch to generate heat on cloth for providing warmth to the human skin and for therapy. Owing to the micro hierarchical pores of the fabric, skin contact generates a power density of about 0.7 mW cm⁻² via effective contact electrification.     

Injection attack detection using machine learning for smart IoT applications

Smart cities are a rapidly growing IoT application. These smart cities mainly rely on wireless sensors to connect their different components (smart devices) together. Smart cities rely on the integration of IoT and 5G technologies, and this has created a demand for a massive IoT network of connected devices. The data traffic coming from indoor wireless networks (e.g., smart homes, smart hospitals, smart factories , or smart school buildings) contributes to over 80% of the total data traffic of the current IoT network. As smart cities and their applications grow, security and privacy challenges have become a major concern for billions of IoT smart devices. One reason for this could be the oversight of handling security issues of IoT devices by their manufacturers, which enables attackers to exploit the vulnerabilities in these devices by performing different types of attacks, e.g., DDoS and injection attacks. Intrusion detection is one way to detect and mitigate the risk of such attacks. In this paper, an intrusion detection method was proposed to detect injection attacks in IoT applications (e.g. smart cities). In this method, two types of feature selection techniques (constant removal and recursive feature elimination) were used and tested by a number of machine learning classifiers (i.e., SVM, Random Forest, and Decision Tree). The T-Test was conducted to evaluate the quality of this proposed feature selection method. Using the public dataset, AWID, the evaluation results showed that the decision tree classifier can be used to detect injection attacks with an accuracy of 99% using only 8 features, which were selected using the proposed feature selection method. Also, the comparison with the most related work showed the advantages of the proposed intrusion detection method.     

波束赋形技术在矿井通信中的应用研究

本文分析了矿井的特殊环境,以及无线通信系统在矿井下的困难,介绍了天线幅度加权波束赋形原理,设计了基于智能天线(SA)波束赋形技术的矿井无线通信系统。仿真结果表明,采用天线波束赋形技术能够增大天线增益,减少多径衰弱,提高频谱利用率和通信系统的可靠性。     

洛阳智慧交通系统的行车引导系统

主要讨论了支持行车引导系统的数据库、引导基础设施、信息发布的方法及内容以及系统的主要功能.行车引导系统是洛阳智慧交通系统应用的重要组成部分,为人们的出行提供实时、准确的道路现状和通行信息以及最佳的行车路线,合理地引导城市车流,保障城市道路的快捷畅通.