面向边缘计算的人工鱼群搜索任务调度

如何将计算任务分配到合适的边缘计算资源上进行计算,以满足边缘计算环境下用户的计算需求、提高用户任务请求 的服务质量,是边缘计算中面临的关键问题。 本文提出一种基于人工鱼群搜索的边缘计算任务调度方法(AFETSA)。 将人工 鱼群搜索算法和边缘计算任务调度模型相结合,采用非线性递减函数动态地调整人工鱼的视野范围和步长,以提高启发式任务 调度算法的全局搜索能力,降低任务的计算时延;同时与禁忌搜索算法进行融合,通过引入忌禁表,在每一次迭代中防止算法陷 入局部最优,提高算法的寻优能力。 CloudSim3. 0 仿真平台实验评测结表明,本文所提 AFETSA 方法和已有的 AFSA、ACO 和 PSO 这 3 种调度算法相比,在任务执行时间、算法稳定性、负载均衡方面都有明显的提升,可充分利用边缘服务器计算资源,提 升计算任务的计算性能,有效解决边缘计算中任务调度不均导致的时延过高和负载不均衡问题。     

Critical Relation Path Aggregation-Based Industrial Control Component Exploitable Vulnerability Reasoning

With the growing discovery of exposed vulnerabilities in the Industrial Control Components (ICCs), identification of the exploitable ones is urgent for Industrial Control System (ICS) administrators to proactively forecast potential threats. However, it is not a trivial task due to the complexity of the multi-source heterogeneous data and the lack of automatic analysis methods. To address these challenges, we propose an exploitability reasoning method based on the ICC-Vulnerability Knowledge Graph (KG) in which relation paths contain abundant potential evidence to support the reasoning. The reasoning task in this work refers to determining whether a specific relation is valid between an attacker entity and a possible exploitable vulnerability entity with the help of a collective of the critical paths. The proposed method consists of three primary building blocks: KG construction, relation path representation, and query relation reasoning. A security-oriented ontology combines exploit modeling, which provides a guideline for the integration of the scattered knowledge while constructing the KG. We emphasize the role of the aggregation of the attention mechanism in representation learning and ultimate reasoning. In order to acquire a high-quality representation, the entity and relation embeddings take advantage of their local structure and related semantics. Some critical paths are assigned corresponding attentive weights and then they are aggregated for the determination of the query relation validity. In particular, similarity calculation is introduced into a critical path selection algorithm, which improves search and reasoning performance. Meanwhile, the proposed algorithm avoids redundant paths between the given pairs of entities. Experimental results show that the proposed method outperforms the state-of-the-art ones in the aspects of embedding quality and query relation reasoning accuracy.     

车用柴油机电控喷油系统齿条位移反馈控制研究

介绍了齿条位移反馈控制器的设计,包括开环系统性能分析、系统建模和控制参数整定。设计的直接数字式ＰＩ控制器使得闭环控制系统的静、动态特性满足柴油机喷油电控的要求。     

基于VXI总线的噪声测试系统设计与应用

武器发射时产生的脉冲噪声对人员和仪器会造成很大的危害,因此噪声测试在武器勤务性能考核巾具有重要意义,针对脉冲噪声信号特性,开发了一套基于VXI总线的噪声测试系统;详细介绍了系统硬件结构设计、基于LabWindows/CVI虚拟仪器开发平台的软件设计和系统功能;设计的系统具有存储容量大、采样率高和软件功能强等特点,能够用于各种武器单发或连发射击时的噪声测试,也可以用于武器非行驶状态下的稳态噪声测试;通过在试验中的应用,表明本系统操作简便,工作可靠.     

Disc cutters plane layout design of the full-face rock tunnel boring machine (TBM) based on different layout patterns

The quality of plane layout design of the disc cutters for the full-face rock tunnel boring machine (TBM) directly affects the balance of force distribution on the cutter head during the excavating. Various layout patterns have been adopted in practice during the layout design of the disc cutters. Considering the engineering technical requirements and the corresponding structure design requirements of the cutter head, this study formulates a nonlinear multi-objective mathematical model with multiple constraints for the disc cutters plane layout design, and analyses the characteristics of a multi-spiral layout pattern, a dynamic star layout pattern and a stochastic layout pattern. And then a genetic algorithm is employed to solve a disc cutters’ multi-spiral layout problem, and a cooperative co-evolutionary genetic algorithm (CCGA) is utilized to solve a disc cutters’ star or stochastic layout problems. The emphasis was put on the study of superiority of three different layout patterns. Finally, an instance of the disc cutters’ plane layout design was solved by the proposed methods using three different kinds of layout patterns. Experimental results showed the effectiveness of the method of combining the mathematical model with the algorithms, and the pros and cons of the three layout patterns.     

Dawning Nebulae: A PetaFLOPS Supercomputer with a Heterogeneous Structure

Dawning Nebulae is a heterogeneous system composed of 9280 multi-core x86 CPUs and 4640 NVIDIA Fermi GPUs. With a Linpack performance of 1.271 petaFLOPS, it was ranked the second in the TOP500 List released in June 2010. In this paper, key issues in the system design of Dawning Nebulae are introduced. System tuning methodologies aiming at petaFLOPS Linpack result are presented, including algorithmic optimization and communication improvement. The design of its file I/O subsystem, including HVFS and the underlying DCFS3, is also described. Performance evaluations show that the Linpack efficiency of each node reaches 69.89%, and 1024-node aggregate read and write bandwidths exceed 100 GB/s and 70GB/s respectively. The success of Dawning Nebulae has demonstrated the viability of CPU/GPU heterogeneous structure for future designs of supercomputers.     

ESP8266的无线光色电测试系统设计

ESP8266是一款高性能无线芯片,在家居自动化 、可穿戴设备 、工业无线控制等领域都有广泛的应用.本系统以TFT触摸屏作为用户显示界面,检测命令和检测数据在TFT触摸屏进行显示,以Arduino Leonardo平台作为主控模块,ESP8266作为与功率计和光谱仪的无线通信接口,通过ESP8266进行命令和数据的透传,解决了检测设备的无线通信问题.     

基于数据挖掘技术网络化训练分析系统研究与实现

对于教育测评所积累的大量数据,通过数据挖掘技术能产生出对学生、教师、教育管理者有用的知识。为此,从教育测评的目的、数据准备、数据积累方法,到数据的知识挖掘等几个方面,系统地研究了教育测评的知识发现的过程,并分别就三种需求的知识发现方法进行探讨,以改变教育测评仅能提供定性的结论而不能发现知识的状况,丰富教育测评的内涵。