Assessment of a Proposed Software Design for the Solution of Multi-Phase Mechanics Problems on Networked Laptops

This paper presents the design of a computational software system that enables solutions of multi-phase and multi-scale problems in mechanics. It demonstrated how mechanicians can design “process-driven” software systems directly, and that such efforts are more suitable in solving multi-phase or multi-scale problems, rather than utilizing the “data-driven” approaches of legacy network systems. Specifically, this paper demonstrates how this approach can be used to solve problems in flexible dynamics. Then it suggests a view of mechanics algorithms as ‘state equilibrium’ enforcers residing as servers, rather than as computer programs that solve field equations. It puts forth the need for identical input/output files to ensure widespread deployment on laptops. Then it presents an assessment of the laptop platform. A software system such as the one presented here can also be used to supply virtual environments, animations and entertainment/education software with physics.

Application of Design Patterns in Process of Large-Scale Software Evolving

To search for the Design Patterns’ influence on the software, the paper abstracts the feature models of 9 kinds of classic exiting design patterns among the 23 kinds and describes the features with algorithm language. Meanwhile, searching for the specific structure features in the network, the paper designs 9 matching algorithms of the 9 kinds design patterns mentioned above to research on the structure of the design patterns in the software network. At last, the paper analyzes the evolving trends of the software scale and the application frequency of the 9 kinds of design patterns as the software evolves, and search for the rules how these design patterns are applied into 4 kinds of typical software.

An MAC Layer Aware Pseudonym (MAP) Scheme for the Software Defined Internet of Vehicles

This paper proposes a cross-layer design to enhance the location privacy under a coordinated medium access control(MAC) protocol for the Internet of Vehicles(Io V). The channel and pseudonym resources are both essential for transmission efficiency and privacy preservation in the Io V. Nevertheless, the MAC protocol and pseudonym scheme are usually studied separately, in which a new MAC layer semantic linking attack could be carried out by analyzing the vehicles' transmission patterns even if they change pseudonyms simultaneously. This paper presents a hierarchical architecture named as the software defined Internet of Vehicles(SDIV). Facilitated by the architecture, a MAC layer aware pseudonym(MAP) scheme is proposed to resist the new attack. In the MAP, RSU clouds coordinate vehicles to change their transmission slots and pseudonyms simultaneously in the mix-zones by measuring the privacy level quantitatively. Security analysis and extensive simulations are conducted to show that the scheme provides reliable safety message broadcasting, improves the location privacy and network throughput in the Io V.

基于CC2431的WIA-PA网络节点设计

从WIA-PA在通信中的性能要求出发,在详细讨论、分析WIA-PA的主要计算特征以及网络通信要求的基础上,采用集射频与微控制器于一体的无线单片机CC2431作为网络节点设计的核心器件,详细介绍节点硬件设计。简单分析WIA-PA网络协议栈的节点应用程序软件设计。完全实现WIA-PA工业无线网络的终端设备通信,同时还实现电池的智能充电。

网络模拟软件Network Simulator在网络课程教学中的应用

简要介绍网络模拟软件N S(N etw ork S im u lator),分析网络模拟软件N S在教学中应用的优点。认为N S应用于计算机网络课程进行辅助教学和辅助实验具有经济性、方便性、针对性和可重复性等优点。提出应用网络模拟软件N S进行课堂演示、实验比较、设计开发三种教学。这样可以让学生通过观看网络运作动画、分析网络性能结果和设计简单网络实体,能让学生更容易、深入地理解网络协议和算法的复杂行为,收到更好的教学效果。

基于深度学习的宣纸缺陷识别软件设计

作为我国优秀文化遗产书法与国画的主要载体,宣纸需始终保持较高质量,最大程度上避免缺陷以影响外观与使用,这就要求造纸企业必须高度重视宣纸缺陷识别与检测,以机器识别软件替代人工识别检测,并引进合适的识别算法。提出了基于深度学习之卷积神经网络的宣纸缺陷识别算法,且由此进行了宣纸缺陷识别软件设计。结果发现,此软件不仅运行速度快,识别率高,而且识别分类准确率可达98.93%,可完全贡献于宣纸质量提高,值得广泛推广与应用。

地震监测自组网系统的研究与设计

传统观察台网是一种用于观测和监测的网络系统,由多个分区在特定区域的观测点组成,随时收集和传送环境数据、参考数据或其他类型的观察数据,但其在通信范围扩展、网络稳定性和性能效率方面还略显不足。基于Mesh协议的自主网络系统在密集观测台网中具备良好的通信能力和数据控制能力,用于解决密集观测台中的通信问题。该系统通过引入Mesh网络结构和能量感知机制,实现通信范围扩展、网络自主组织和数据控制等功能。该研究为密集观测台网的应用提供一种可行的解决方案,并具有很好的实用性和估值。通过设计无线自组网传输系统与台阵监控管理中心和自组网管理节点相结合可以更好地对系统进行研究。

基于SRAM缓存和存内计算的低功耗关键词唤醒系统

为了解决关键词唤醒算法部署在边缘计算硬件会带来较高功耗、给电池驱动的设备带来续航挑战的问题,提出了一种基于存内计算技术和软硬件协同优化的低功耗关键词唤醒系统。在算法层面,基于标准MFCC算法拓扑结构提出了一种三值量化MFCC-CNN联合算法,将MFCC中的全部通用矩阵乘映射到神经网络加速器当中。在电路层面,提出了一种基于SRAM的存内计算核心,用于解决传统冯·诺依曼架构加速器存在的功耗墙和存储墙问题。同时通过复用存内计算核心的SRAM存储功能提出了一种基于查找表实现的缓存电路,用于替代寄存器延迟链电路。SRAM存内计算核心和SRAM缓存电路均采用定制单元实现。在系统层面,基于以上2种定制电路设计了一种低功耗关键词唤醒系统。该系统采用ASIC与定制化电路设计流程设计,并使用28 nm CMOS工艺库对该设计进行了ASIC综合,在250 kHz下,关键词唤醒系统运行10分类任务的延迟是64 ms,整体功耗为645.28μW,其中MFCC流水线的动态功耗占总动态功耗的5.9%,总功耗仅占系统功耗的1.3%。

激光跟踪仪CFIII三维控制网数据采集软件研制

根据激光跟踪仪自身特点和实际工程应用需要,设计开发了一款激光跟踪仪CFIII三维控制网数据采集软件,该软件主要为高速磁浮、火箭撬滑轨测设一类具有特殊精度要求的测量工作提供外业数据采集服务。本文首先按照软件开发的一般流程进行需求分析和功能设计,并以此为基础对激光跟踪仪控制网测量等相关功能算法进行研究,然后对其中一些关键的功能算法进行阐述,再对各项子功能进行编码实现。最后,本文设计了一系列测量对比分析和仿真计算实验对软件各项功能进行可靠性验证,实验结果表明,本文研制的软件运行正常,测量结果正确、可靠。

基于Qt的BP神经网络演示软件设计

BP(Back Propagation)神经网络算法是一种典型的神经网络算法,具有广泛的应用。为了直观地显示该算法训练和验证数据的完整流程,文章设计了一个基于国产化平台Qt的BP神经网络演示软件,使用Qt自带的图形化控件来实现算法的结果演示。文章首先介绍了BP神经网络的基本原理、公式推导和工作流程,其次使用Qt实现了该算法并绘制了图形化界面,最后使用该算法对经典的鸢尾花数据集进行训练和验证,并将验证结果在界面上显示。实验验证,该软件能够支持BP神经网络算法的算法运行与结果显示,满足软件设计的相关要求。

数据机柜主动探测预警灭火系统的软件实现

目前一体机柜火灾探测主要为被动监测,火灾现场温度升高及烟雾浓度达到一定的浓度,烟雾传感器采集信息后传递给系统,从而实现火灾报警和后续的灭火减灾,这种处置方法造成了火灾隐患大、救灾时间晚、灾害程度重等问题。为解决被动报警的弊端,采用基于4G网络和ARM处理器采用C语言开发主动探测软件,驱动主动吸入装置,并提升温度和烟雾传感器的敏感程度,增强主动探测预警系统的监测能力。同时,在激发火灾预警系统后,软件触发自动灭火设备,进而实现在火灾初期灭火目标,最大程度上降低火灾危害。

DESIGN METHODOLOGY OF NETWORKED SOFTWARE EVOLUTION GROWTH BASED ON SOFTWARE PATTERNS

Recently, some new characteristics of complex networks attract the attentions of scientist, in different fields, and lead to many kinds of emerging research directions. So far, most of the researcl work has been limited in discovery of complex network characteristics by structure analysis in large-scale software systems. This paper presents the theoretical basis, design method, algorithms and experiment results of the research. It firstly emphasizes the significance of design method of evolution growth for network topology of Object Oriented （OO） software systems, and argues that the selection and modulation of network models with various topology characteristics will bring un-ignorable effect on the process, of design and implementation of OO software systems. Then we analyze the similar discipline of ＂negation of negation and compromise＂ between the evolution of network models with different topology characteristics and the development of software modelling methods. According to the analysis of the growth features of software patterns, we propose an object-oriented software network evolution growth method and its algorithms in succession. In addition, we also propose the parameter systems for OO software system metrics based on complex network theory. Based on these parameter systems, it can analyze the features of various nodes, links and local-world, modulate the network topology and guide the software metrics. All these can be helpful to the detailed design, implementation and performance analysis. Finally, we focus on the application of the evolution algorithms and demonstrate it by a case study. Comparing the results from our early experiments with methodologies in empirical software engineering, we believe that the proposed software engineering design method is a computational software engineering approach based on complex network theory. We argue that this method should be greatly beneficial for the design, implementation, modulation and metrics of functionality, structure and performance in large-scale OO software complex system.

Remote Monitoring System of Ship Running State under Wireless Network

In order to improve the stability and safety of ship operation, real-time monitoring to running state of the ship, a ship remote monitoring system, the running state of the design of wireless network system, including ship running state feature acquisition module, AD conversion module, bus transmission module, wireless network communication module, integrated control module and human-computer interaction module, ship communication network uses remote satellite communications and wireless sensor networking technology, SIP session initiation protocol H. 23 protocol based on IETF and wireless network communication for ship design. To focus on the implementation of the multi thread control method for ship running state monitoring instruction, monitoring system application development and integration in cross compiler GCC compiler environment, design software platform monitoring system using heterogeneous and hierarchical middleware technology, network access services and real-time monitoring service ship monitoring system, the system test results show that the designed remote monitoring system of ship running state can monitor the running state characteristics of ship in real time, and the system has good adaptability and reliability.

基于模糊系统的网络入侵检测软件设计与实现

随着互联网技术的迅速发展,网络安全问题日益严重,网络入侵检测成为网络安全领域的重要研究方向。网络入侵检测系统(NIDS)是一种有效的防止和检测恶意网络行为的工具,其主要目标是通过监视网络流量,检测并记录可能的攻击。然而,传统的基于规则或者基于统计的网络入侵检测方法在处理模糊、不确定和不完全的信息时存在很大的不足。因此,如何提高网络入侵检测的准确性和可靠性,减少误报和漏报,一直是网络安全领域的重要研究课题。

测震站网仪器标定管理软件的研究与设计

为提高测震站网仪器标定管理的效率,研发一款仪器标定管理软件。该软件采用C++语言设计开发,主要包括用户管理、信息查询、标定结果录入、表格输出和后台数据库5个模块。该软件设计完成并应用到山西测震站网后,可优化原有的标定流程,缩短标定时间,提升了测震站网的标定效率,实现测震站网仪器标定信息的统一管理。

基于SDN的视频跨域专网实验设计仿真

软件定义网络(SDN)将网络控制平面与底层的转发设备解耦,为新型互联网体系结构研究提供了新的实验途径。电子信息等相关专业教学亟须基于SDN的网络实验和仿真案例。构建SDN视频跨域专网实验平台,采用PIE算法对专网进行网络流量控制实验设计。结合通信网络教学常用的ns-3仿真软件进行了实验仿真,测试了典型业务场景的网络性能。仿真结果表明,PIE算法具有在网络拥塞时改善端到端时延的能力。

Measuring Structural Quality of Object-Oriented Softwares via Bug Propagation Analysis on Weighted Software Networks

The quality of a software system is partially determined by its structure（topological structure）,so the need to quantitatively analyze the quality of the structure has become eminent.In this paper a novel metric called software quality of structure（SQoS） is presented for quantitatively measuring the structural quality of object-oriented（OO） softwares via bug propagation analysis on weighted software networks（WSNs）.First,the software systems are modeled as a WSN,weighted class dependency network（WCDN）,in which classes are nodes and the interaction between every pair of classes if any is a directed edge with a weight indicating the probability that a bug in one class will propagate to the other.Then we analyze the bug propagation process in the WCDN together with the bug proneness of each class,and based on this,a metric（SQoS） to measure the structural quality of OO softwares as a whole is developed.The approach is evaluated in two case studies on open source Java programs using different software structures（one employs design patterns and the other does not） for the same OO software.The results of the case studies validate the effectiveness of the proposed metric.The approach is fully automated by a tool written in Java.

网络功能虚拟化与软硬件融合的系统设计与实现

随着信息技术的飞速发展,网络通信系统正经历着前所未有的变革。网络功能虚拟化和软硬件融合作为这一变革的重要组成部分,成为现代网络系统设计与实现的关键技术。网络功能虚拟化通过将传统的硬件网络设备功能抽象为软件模块,实现网络服务的灵活部署和管理。而软硬件融合则通过充分发挥软件和硬件的优势,优化系统性能和资源利用率。这两者相互结合,推动网络系统向更高效、灵活、可扩展的方向发展。文章深入研究网络功能虚拟化与软硬件融合的系统设计与实现,通过探讨和总结研究成果,为网络系统设计与实现提供有益指导。

SD-WAN在企业组网中的运用

随着云计算、物联网等新兴技术的不断发展,传统企业网络已经无法满足大规模数据传输和处理的需求。软件定义广域网络(Software-Defined networking in a Wide Area Network,SD-WAN)作为一种新型的企业网络架构方案,具有较高的可扩展性、灵活性和可管理性,成为企业网络升级的重要选择。通过对SD-WAN技术在不同企业组网中的应用和SD-WAN网络设计关键技术的介绍,深入剖析其优势和特点,并分析SD-WAN应用过程面临的挑战和解决方案,探讨未来SD-WAN技术的趋势和发展方向。

基于神经网络的热风炉模糊控制系统研究

钢铁作为我国制造业、建筑业不可或缺的资源,在我国的基础建设中发挥了重要的作用。高炉炼铁是目前进行钢铁加工的主要手段,在热风炉的加热下将从矿山采集的铁原材以及焦炭、煤粉进行混合燃烧,将燃烧产生的热风送入高炉内在进行炼铁加工。热风炉在高炉炼铁中的作用可见一斑。有效的控制热风炉的燃烧过程,保证其蓄热充分,能够最大程度的减少资源浪费。探讨了一种基于神经网络的热风炉模糊控制系统,从热风炉的工艺控制流程入手分析,介绍了基于神经网络的热风炉的模糊控制系统硬件以及软件设计,最后对这一系统的现场实际应用效果进行了分析,结果发现神经网络模糊控制系统具有较高的可行性,提升热风炉的工作效率,保证高炉冶炼的效果。