基于Proteus的单片机软硬件实时动态仿真

Proteus是一种基于VSM的功能强大的电路和单片机系统动态仿真软件.结合单片机控制闪烁灯实例,介绍了Proteus的单片机软硬件实时动态仿真功能,详细地讲解其仿真过程,并给出Keil与Proteus联合仿真的方法     

用IAR EWARM开发嵌入式系统时目标代码的链接与定位

采用IAR EWARM集成开发工具进行ARM嵌入式系统开发,具有高效和灵活的特点,可以生成多种格式的目标文件.源程序经编译后生成包含数据或代码存储器逻辑映像的数据段和代码段,必须经过合理的链接定位,才能保证最终目标代码能够下载到系统的F1ash内并正确运行.     

基于μC/OS-II的智能电机控制系统的实验教学设计

当前嵌入式技术已成为通信和消费类产品的主流技术。 Proteus作为一款EDA工具软件,它不仅具有其它EDA工具软件的仿真功能,还能仿真单片机及外围器件,是目前最好的仿真单片机及外围器件的工具。本文通过在Proteus上实现基于μC/OS-II的电机温度测量与控制系统来阐述该软件在嵌入式系统的开发与教学中的价值。最后给出了该系统在Proteus仿真平台上的运行结果,说明了其在工程实践中的意义。     

基于模型的嵌入式代码快速生成

采用一种有别于传统嵌入式系统开发过程的新型开发方法:从概念到实现.以一个简单的乘法为例,利用Simulink、Embedded MATIAB、Real-Time Workshop等工具,在MATLAB平台上一次性完成从算法模型仿真到嵌入式代码生成的过程.之后在生成的代码中添加硬件接口并编译,经Proteus虚拟硬件测试...     

基于Proteus的硬件在回路仿真

软、硬件的并行开发方法可以加快设计进程,但在系统整合时常常出现诸如软、硬件不兼容等很多问题,而硬件在回路仿真能有效解决这些问题,它的最大特点是将软件仿真与实际硬件紧密联系起来,采用该技术可以在开发周期初完成嵌入式系统的仿真.介绍了一种基于Proteus的硬件在线回路仿真技术,为嵌入式产品的开发提出了新的思路.并通过"电子警察"这一具体开发实例来说明基于Proteus的硬件在回路仿真技术在嵌入式产品开发中的意义.实践证明,基于Proteus的硬件在回路仿真可以大大缩短产品的开发周期和降低开发成本.     

基于ARM Cortex-M3的智能数据采集终端的设计

设计并实现一个基于ARM Cortex-M3内核处理器的电力智能数据采集终端,并对该智能数据采集终端的软件和硬件部分进行详细的介绍。数据终端设计选用IAR EWARM作为系统的开发平台,既缩短了开发周期,又提高了系统的稳定性。测试结果表明该系统功耗小,性价比高,功能易于扩展,便于推广使用。     

MSP430单片机在仿真中要注意的几点问题

MSP430系列单片机由于其超低功耗、片内资源丰富和性能优异等诸多优点,在业界被广泛使用。初学者在学习过程中,使用仿真软件时遇到若干问题。本文提供了相关问题的解决方法,介绍了MSP430系列单片机在IAR集成开发环境中进行软件仿真调试的设置和使用方法,以及在Proteus硬件仿真软件中的时钟信号、定时器、源码级调试和硬件乘法器的设置方法。     

Matlab／RTW实时仿真与嵌入式系统开发

给出一种开发嵌入式系统的新方法。主要基于Matlab的RTW（Real—TimeWorkshop）工具箱的代码生成功能,采用Keil作为中间工具,将RTW生成的C语言代码转换为单片机可以运行的HEX文件,并利用Proteus软件进行仿真,以验证代码的正确性,从而快速开发嵌入式系统,并且实现了实时仿真。测试结果验证了该方法的可行性与正确性。     

基于Proteus和Keil接口的ARM仿真开发

嵌入式开发需要良好的软硬件环境,目前ARM公司的开发工具ADS、RealView以及Keil与ARM核处理器结合的较好,但硬件开发平台昂贵.Proteus软件较好的解决了硬件仿真的问题,它支持外围数字电路和模拟电路与处理器协同仿真,可以随意搭建硬件虚拟仿真平台.针对Keil for ARM编译器,结合Proteus软件,以ARM处理器LPC2124介绍了如何构建ARM嵌入式开发平台进行源代码级调试的方法.为嵌入式系统学习提出了一种新的思路和方法.     

RISC-V MCU的FreeRTOS移植与应用开发

具有相同的RISC-V指令集的处理器实现并不相同.本文将针对基于RISC-V开源指令集的处理器芯片GD32VF103 MCU,介绍FreeRTOS在IAR EWRISC-V编译和开发环境下的移植过程.采用RTOS后,嵌入式系统很难监控系统的运行时行为、发现应用存在的问题,本文基于Tracealyzer分析工具直观地跟踪...     

Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases

Context: Value stream mapping (VSM) as a tool for lean development has led to significant improvements in different industries. In a few studies, it has been successfully applied in a software engineering context. However, some shortcomings have been observed in particular failing to capture the dynamic nature of the software process to evaluate improvements i.e. such improvements and target values are based on idealistic situations.Objective: To overcome the shortcomings of VSM by combining it with software process simulation modeling, and to provide reflections on the process of conducting VSM with simulation.Method: Using case study research, VSM was used for two products at Ericsson AB, Sweden. Ten workshops were conducted in this regard. Simulation in this study was used as a tool to support discussions instead of as a prediction tool. The results have been evaluated from the perspective of the participating practitioners, an external observer, and reflections of the researchers conducting the simulation that was elicited by the external observer.Results: Significant constraints hindering the product development from reaching the stated improvement goals for shorter lead time were identified. The use of simulation was particularly helpful in having more insightful discussions and to challenge assumptions about the likely impact of improvements. However, simulation results alone were found insufficient to emphasize the importance of reducing waiting times and variations in the process.Conclusion: The framework to assist VSM with simulation presented in this study was successfully applied in two cases. The involvement of various stakeholders, consensus building steps, emphasis on flow (through waiting time and variance analysis) and the use of simulation proposed in the framework led to realistic improvements with a high likelihood of implementation.     

基于VSM的分布仿真软件适配器研究

为满足针对航空、航天领域的大规模虚拟实验的要求,在认真研究适配器技术和基于以太网的VSM(虚拟共享内存)中间件的基础上,提出构造一种基于VSM机制的分布式仿真软件适配器和实时网VSM中间件来扩展已有的以太网VSM中间件的技术.根据松耦合系统与紧耦合系统的不同仿真需求,采用松耦合适配器和紧耦合适配器两种适配器对以太网VSM中间件进行浅层和深层两个层次的扩充.其中松耦合适配器已经在实际中得到应用,并取得了良好的效果.     

浅谈ST-LINK调试器的时间线调试技巧

介绍了使用ST-LINK调试器调试STM32系列单片机的时间线功能及在EWARM集成开发环境中的参数设置技巧,以及一个在直流无刷电机控制系统中定位与时间相关的软件问题的应用实例.实验结果表明,ST-LINK系列调试器以低廉的价格,提供了强大的调试功能,可以快速定位软件的问题,提高软件开发的效率与质量.     

基于Proteus的车载温度时钟系统设计与仿真

利用Proteus虚拟系统仿真技术（VSM）开展单片机应用系统的设计仿真有助于快速掌握单片机原理、接口技术以及多种外围器件的使用,积累开发经验。基于ProteuS给出车载温度时钟显示器的设计,利用软件提供的数字温度传感器、实时时钟／日历芯片仿真模型．实现温度、时间、日期的读取显示及时间、日期设置等功能,给出仿真测试结果。     

A novel document ranking method using the discrete cosine transform

We propose a new spectral text retrieval method using the discrete cosine transform (DCT). By taking advantage of the properties of the DCT and by employing the fast query and compression techniques found in vector space methods (VSM), we show that we can process queries as fast as VSM and achieve a much higher precision.     

基于语义的VSM模型改进

文本聚类在很多领域都有广泛的应用,传统的文本聚类方法由于并不考虑语义因素,得出的聚类效果并不理想.利用语义对VSM模型进行变换,即基于语义对VSM模型的各维进行扭曲,将原本的正交坐标系基于语义变换为斜角坐标系,然后将文本的特征向量映射到变换后的VSM模型上再进行聚类,相对减小语义相关的特征向量间的语义距离,从而提高了文...     

基于WordNet概念向量空间模型的文本分类

文章提出了一种文本特征提取方法,以WordNet语言本体库为基础,以同义词集合概念代替词条,同时考虑同义词集合间的上下位关系,建立文本的概念向量空间模型作为文本特征向量,使得在训练过程中能够提取出代表类别的高层次信息。实验结果表明,当训练文本集合很小时,方法能够较大地提高文本的分类准确率。     

Information Ordering with an Event‐Enriched Vector Space Model for Multi‐Document News Summarization

Information ordering is a nontrivial task in multi‐document summarization (MDS), which typically relies on the traditional vector space model (VSM) notorious for semantic deficiency. In this article, we propose a novel event‐enriched VSM to alleviate the problem by building event semantics into sentence representations. The mediation of event information between sentence and term, especially in the news domain, has an intuitive appeal as well as technical advantage in common sentence‐level operations such as sentence similarity computation. Inspired by the block‐style writing by humans, we base the sentence ordering algorithm on sentence clustering. To accommodate the complexity introduced by event information, we adopt a soft‐to‐hard clustering strategy on the event and sentence levels, using expectation–maximization clustering and K‐means, respectively. For the purpose of cluster‐based sentence ordering, the event‐enriched VSM enables us to design an ordering algorithm to enhance event coherence computed between sentence and sentence–context pairs. Drawing on the findings of earlier research, we also incorporate topic continuity measures and time information into the scheme. We evaluate the performance of the model and its variants automatically and manually, with experimental results showing clear advantage of the event‐based model over baseline and non‐event‐based models in information ordering for multi‐document news summarization. We are confident that the event‐enriched VSM has even greater potential in summarization and beyond, which awaits further research. © 2014 Wiley Periodicals, Inc.