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关键词： 操作系统   多维度安全保护   深度学习   可部署性   GPU   神经网络  

摘要： 操作系统漏洞长期威胁用户隐私安全,给用户带来的不仅是经济损失,更有个人隐私泄漏等威胁。基于操作系统的内存管理、进程管理、IO管理三大核心功能,分析针对各功能的攻击方案的表现形式,提出利用深度学习技术,搭建包含基础数据层、特征提取层、特征学习层、防御行为层的操作系统多维度安全保护架构。基础数据层收集操作系统运行数据,并将原始数据提供给特征提取层;特征提取层对原始数据进行变换,向特征学习层提供易于理解与学习的特征;特征学习层借助深度神经网络,理解特征提取层提供的数据,并将检测结果反馈给防御行为层;防御行为层产生防御行为,并优化特征学习层,降低误判概率,提升检测精度。该架构通用性强,可部署性良好,能检测到未曾发现的攻击。若辅以GPU硬件支持,神经网络的算力资源开销将降低80%。

关键词： 数据记录模块   跨平台操作系统   文件系统   网络通信  

摘要： 为了提高航空发动机实时记录数据的可靠性,提出了一款跨平台操作系统数据记录模块。该模块以Zynq7010芯片为核心,基于可移植操作系统接口标准,设计了统一的应用程序接口(API),兼容Linux和VxWorks 7.0操作系统。通过调用Linux的EXT4文件系统和VxWorks的TrueFFS文件系统驱动,结合用户数据报协议的网络通信方式,完成跨平台数据记录模块的存储操作。测试结果表明,该模块能以较快的速率实现两种操作系统下的数据记录过程,保障了航空发动机数据记录的准确性和可靠性。

关键词： 翻转课堂   Linux操作系统   磁盘配额   准实验  

摘要： 该文分析传统教学模式下Linux操作系统教学存在学生思考问题和动手能力不同步现象,以配置与管理磁盘中的磁盘配额为例提出翻转课堂教学实例,采用准实验和调查问卷两种方案对传统教学和翻转教学比较研究,实现数据显示总体上翻转教学模式更优于传统教学模式。

关键词： 电力系统   防误操作系统   电气闭锁   机械联锁  

摘要： 电力调度防误操作是保障电力系统正常运转、降低故障概率的主要途径之一,首先针对电力调度中存在误操作的原因及具体风险项进行简单论述,进而在此基础之上研究电力调度网络系统的具体架构。通过对电力系统原理的分析,结合现实中电力系统常常使用到的数种防误操作系统,浅谈电力系统的中监控电气闭锁以及机械联锁的相关控制回路设计、逻辑操作程序等。

关键词： 创客   Linux   课程  

摘要： 《Linux操作系统》是西安思源学院网络工程专业的专业方向课,本课程结合项目驱动进行案例式教学,整个教学过程突出以学生为中心的思想,并建立了“思政+知识+能力”的科学、客观、公正的基于过程化管理的教学效果评价体系。实现了创新与实践的有机结合,提高了学生主动实践、终身学习的能力。该文主要介绍了基于项目式教学的创客教育理念在该课程改革中的应用。

关键词： unmanned aerial vehicles   cyber-physical systems   network attack   security  

摘要： To perform advanced operations with unmanned aerial vehicles (UAVs), it is crucial that components other than the existing ones such as flight controller, network devices, and ground control station (GCS) are also used. The inevitable addition of hardware and software to accomplish UAV operations may lead to security vulnerabilities through various vectors. Hence, we propose a security framework in this study to improve the security of an unmanned aerial system (UAS). The proposed framework operates in the robot operating system (ROS) and is designed to focus on several perspectives, such as overhead arising from additional security elements and security issues essential for flight missions. The UAS is operated in a nonnative and native ROS environment. The performance of the proposed framework in both environments is verified through experiments.

关键词： 操作系统  

ISBN: (纸本)9787302570691

摘要： 本书兼顾理论性与实用性，结合计算机类专业卓越工程师的要求编排相应内容。该教材不仅介绍操作系统基础原理，包括进程管理、内存管理、设备管理、文件管理。针对Windows、Linux与Android三种操作的进程管理、内存管理、设备管理和文件管理的实现技术进行分析与对比，为基于操作系统编程提供理论和技术基础。结合最新研究成果，还介绍了多CPU、多核操作系统，还单独分析了操作系统的安全与保护技术，同时用一章介绍现代操作系统的最近技术及我国对操作系统的自主创新情况。

关键词： Price forecasting   Price spike detection   Inter-hours rolling   Scheduling of BTM operating systems   Deep learning  

摘要： With the growth of renewable energy utilities, it is necessary to optimize system scheduling to reduce operation cost and increase profit. An effective approach depends on electricity price forecasting becomes important in energy management and control of behind-the-meter storage system. In this paper, for the first time, an inter hours rolling horizon strategy is proposed to offer a more effective scheduling strategy based on high resolution five-minute data. In addition, to avoid great uncertainties in price fluctuation, we present a novel model based on deep learning for hour-period and multi-step price forecasting. Moreover, in order to detect spikes in thecurrent day, we design a convolutional neural network with an end-to-end manner to detect price spikes and capture severe price variations in market profiles, which remarkably improve the scheduling of behind-the-meter storage system and operation profits. Sufficient experiments introduced the real-time available market dataset from Ontario to evaluate the performances of our proposed models. Related spike predictions were also used to optimize operation scheduling of a behind-the-meter storage system, demonstrating the outcomes of our proposed inter-hours rolling horizon strategy from an economic perspective. Compared with the state-of-the-art model (ARX), our proposed strategy based on enhanced spike detection achieved 8.7% improvement on operating cost with more predominant robustness and efficiency.

关键词： Digital control systems  

摘要： In the context of the life-extension program for the No. 3 unit of the Smolensk NPP, the life-exhausted RBMK-1000 control and protection system, the safety control systems of the power unit, and the analog-relay control apparatus of the technological equipment of the block control board (reactor and turbine departments) have been replaced with systems and software-hardware suites (SHS) developed by NIKIET. NIKIET has completed the full cycle of work from the structural development of the systems and SHS to implementation followed by follow-up support services. Based on experience in modernization of special RBMK CPS and SCS-T systems and the process control and protection systems of the technological equipment of reactor installations developed by NIKIET, a unique automated digital control system with a single multi-level and decentralized structure of a complex of technical means was created, which secures not only safe and reliable operation of the entire power unit but also the fulfillment of key requirements of the system. Currently, the fundamental solutions implemented in this system are used as standards for the development of automated monitoring and control systems for other facilities, specifically, reactor installations with fast reactors (BREST, MBIR).

关键词： Controllers  

摘要： In interventional surgery, the manual operation of the catheter is not accurate. It is necessary to operate the catheter skillfully and effectively to protect the surgeon from radiation injury. The purpose of this paper is to design a new robot catheter operating system, which can help surgeons to complete the operation with high mechanical precision. On the basis of the original mechanical structure-real catheter, the operation information of the main end operator is collected. After the information is collected, the control algorithm of the system is improved, and the BP neural network is combined with the traditional PID controller to adjust the PID control parameters more effectively and intelligently so that the motor can reflect the output of the controller better and faster. The feasibility and superiority of the BP neural network PID controller are verified by simulation experiments.