基于QEMU的CAN总线节点仿真器

汽车控制网网络的开发需要引入一套满足软／硬件协同设计需求的低成本开发工具链,其中硬件仿真器是最重要的工具之一。硬件仿真器为软件开发提供功能验证,缩短整个嵌入式系统的开发周期。在开源仿真器平台QEMU和虚拟局域网技术的基础上,实现一款仿真粒度更细的CAN总线节点仿真器CES,并搭建一个满足汽车控制网络软／硬件协同设计需求的CAN总线仿真网络。     

PDA设备开发仿真系统设计与实现

目前使用的PDA设备开发仿真器专一性强、价格昂贵、灵活性差。所以，本文提出了一种完全基于软件平台的开发仿真器的设计思路。实际的使用证明了这一系统成本低，可以成为PDA设备开发的重要途径。     

一种基于虚指令集技术构建快速的可重用的指令集仿真器的方法

指令集仿真器是进行系统体系结构设计与评估、系统软件设计与开发以及进行软、硬件协同开发的有利工具。然而指令集仿真器对目标体系结构具有极大的依赖性,无法跨越多个目标平台工作,这就成了制约它发展的一个重要因素。文章根据DSP处理器的特点,参考传统仿真策略,提出了一种改进后的仿真技术,可以极大地提高仿真器运行效率。在此基础上,又结合虚指令集技术,构建VIS仿真器,改变了传统仿真器只能用于单一处理器的局面,使之能够适用于多款处理器结构。这为指令集仿真器的广泛使用提供了有力的保证。     

ARM系统代码固化的串口实现

早期的嵌入式程序采用“编程-烧写-修改-烧写”的开发模式，大量的时间消耗在重复烧写芯片上，增加了开发成本和研发周期。之后发展到仿真器阶段，虽然简化了开发模式，但是由于仿真器与ARM芯片的兼容性等因素，经常会发生程序在仿真器上能正确运行，但是固化之后运行却出现问题的情况。     

现代过程系统训练仿真的支撑环境

该文从过程系统训练仿真器研制的现状出发，结合信息技术发展，尤其是计算机技术和网络技术发展，分析了充分利用高新技术的发展，建立开放的过程系统训练仿真器的集成开发环境的必要性，最后给出了一种基于Ｉｎｔｒａｎｅｔ的企业级化工过程训练仿真器开发和应用平台的结构。     

在线仿真——Intel在线仿真器的特点和使用中的问题

引言随着微型计算机应用的日趋广泛,微型计算机开发系统越来越受到重视。在线仿真器是微机开发系统的重要组成部分,可以说在线仿真器是微机开发系统区别于一般微机系统的重要标志。从Intel 1975年提出了在线仿真器这一新的概念以后,在线仿真技术已经得到了迅速的发展本文试图对Intel的ICE80、ICE85、ICE86以及单片仿真器ICE51和最新型的仿真器12ICE的特点作一个阐述,并根据Intel有关资料及我们的一些经验对在线仿真中的一些问题作了归纳,以期能对使用开发系统的用户提供一个参考,共同提高开发系统和在线仿真器的应用水平。     

E-KEY电子密钥系统仿真器的设计与实现

介绍一种电子密钥系统仿真器的设计。它实现了目标系统中的CPU模块仿真存储器仿真、以及系统外部设备的仿真。针对该仿真器设计中难点，依据其仿真目标，提出了有效的解决方案。仿真测试实例证明该仿真器的工作正确性。实践证明，作为目标系统软件同步开发工具，该仿真器大大地加快了工程开发的进度。     

基于面向对象的无线信道仿真器设计

无线信道的建模和估计对于现代移动通信系统的研发具有重要意义。该文讨论了无线信道仿真器的构建模式，给出了一种基于面向对象的信道仿真器图形用户界面的设计方案；以典型无线信道作为独立对象进行图形化建模，并对各种信道估计算法进行了基于面向对象技术的模块封装，在此基础上提出了一种无线信道仿真和参数估计平台的实现技术。最后介绍了基于MATLAB GUI开发的可视化无线信道仿真器。该文开发的无线信道仿真器图形用户界面设计简单、一致，具有开放性扩展功能。     

嵌入式在线仿真器SL-K51L的使用范围

SL-K51L仿真器非常适合于51系列产品的学习与开发,也适合用它来将你的成熟产品性能升级。入门者的廉价工具 作为一个初学MCU的人来说,仿真器和编程器一般是必不可少的。因为你是新手,你有时极需要借助仿真器来观察MCU内部是怎样运行的;同时,仿真器本身就是一个可以直接运行的系统,不需要用户考     

水泥生产过程计算机仿真器的软件系统设计

本文介绍了水泥生产过程计算机仿真器的软件系统结构的设计、系统的特点及运行方式，是在Ｗｉｎｄｏｗｓ平台上开发的，该系统既能单个任务离线调试和运行，又能由Ｗｉｎｄｏｗｓ的多任务内核实施多任务协调运行，它的开发为水泥生产过程计算机仿真器奠定了基础。     

An Efficient, Practical Parallelization Methodology for Multicore Architecture Simulation

Multiple core designs have become commonplace in the processor market, and are hence a major focus in modern computer architecture research. Thus, for both product development and research, multiple core processor simulation environments are necessary. A well-known positive feedback property of computer design is that we use today's computers to design tomorrow's. Thus, with the emergence of chip multiprocessors, it is natural to re-examine simulation environments written to exploit parallelism. In this paper we present a programming methodology for directly converting existing uniprocessor simulators into parallelized multiple-core simulators. Our method not only takes significantly less development effort compared to some prior used programming techniques, but also possesses advantages by retaining a modular and comprehensible programming structure. We demonstrate our case with actual developed products after applying this method to two different simulators, one developed from IBM Ibrandot and the other from the SimpleScalar tool set. Our SimpleScalar-based framework achieves a parallel speedup of 2.2times on a dual-CPU dual-core (4-way) Opteron server     

Efficient coupling of multibody software with numerical computing environments and block diagram simulators

Simulation of complex mechatronic systems like an automobile, involving mechanical components as well as actuators and active electronic control devices, can be accomplished by combining tools that deal with the simulation of the different subsystems. In this sense, it is often desirable to couple a multibody simulation software (for the mechanical simulation) with external numerical computing environments and block diagram simulators (for the modeling and simulation of nonmechanical components).     

A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry

Consumer expectations for automobile seat comfort continue to rise. With this said, it is evident that the current automobile seat comfort development process, which is only sporadically successful, needs to change. In this context, there has been growing recognition of the need for establishing theoretical and methodological automobile seat comfort. On the other hand, seat producer need to know the costumer’s required comfort to produce based on their interests. The current research methodologies apply qualitative approaches due to anthropometric specifications. The most significant weakness of these approaches is the inexact extracted inferences. Despite the qualitative nature of the consumer’s preferences there are some methods to transform the qualitative parameters into numerical value which could help seat producer to improve or enhance their products. Nonetheless this approach would help the automobile manufacturer to provide their seats from the best producer regarding to the consumers idea. In this paper, a heuristic multi criteria decision making technique is applied to make consumers preferences in the numeric value. This Technique is combination of Analytical Hierarchy Procedure (AHP), Entropy method, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). A case study is conducted to illustrate the applicability and the effectiveness of the proposed heuristic approach.     

A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry

Consumer expectations for automobile seat comfort continue to rise. With this said, it is evident that the current automobile seat comfort development process, which is only sporadically successful, needs to change. In this context, there has been growing recognition of the need for establishing theoretical and methodological automobile seat comfort. On the other hand, seat producer need to know the costumer’s required comfort to produce based on their interests. The current research methodologies apply qualitative approaches due to anthropometric specifications. The most significant weakness of these approaches is the inexact extracted inferences. Despite the qualitative nature of the consumer’s preferences there are some methods to transform the qualitative parameters into numerical value which could help seat producer to improve or enhance their products. Nonetheless this approach would help the automobile manufacturer to provide their seats from the best producer regarding to the consumers idea. In this paper, a heuristic multi criteria decision making technique is applied to make consumers preferences in the numeric value. This Technique is combination of Analytical Hierarchy Procedure (AHP), Entropy method, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). A case study is conducted to illustrate the applicability and the effectiveness of the proposed heuristic approach.     

STATEMATE环境下数据软件接口的开发

嵌入式系统在现代汽车电控装置上的广泛应用使得软件工程在汽车产品开发过程中的地位越来越重要。要提高车用电控软件的开发效率,只有通过有效地使用计算机辅助软件工程的有关工具(CASE-Tools),如建模、仿真和软件测试工具等才可能实现。但由于技术和商业上的原因,构成开发链的各种工具之间往往缺少有效的衔接,形成了开发过程中的瓶颈。该文介绍了在集成开发环境STATEMATE下开发的一个数据接口,可以实现仿真环境与软件测试环境的连接,从而提高嵌入式系统软件的开发效率。     

车联网仿真测试评价技术研究综述

智能化和网联化是汽车发展的重要方向,车联网技术作为智能网联汽车体系架构的重要组成部分,近年来成为业界的研究热点之一。车联网的大规模部署及其在智能汽车领域的广泛应用前需要对其性能及功能进行全面、深入的测试评价,然而在真实环境下进行车联网的测试与评估存在成本高、难度大的问题,因此通过仿真手段对其进行评价分析是当前的主流测试手段。本文总结了主流的网络仿真器和交通仿真器,对现有车联网仿真平台进行了分类,研究并对比分析了典型的车联网仿真平台;针对车联网的应用特性,研究并归纳了影响车联网仿真性能的车辆移动模型、信道传播模型及驾驶员行为等;从网络仿真指标、车联网应用相关指标归纳了车联网功能及性能测试的典型评价指标。     

组成原理与系统结构模拟实验系统的设计与开发

为了解决组成原理与系统结构课程内容抽象难懂、教学难度大等问题,我们设计和开发了国内第一套用于这些课程实验的模拟器,并在此基础上开出了10多个实验。实际使用情况表明,达到了很好的教学效果。本文介绍这些模拟器的设计和功能等。     

LSE：一种处理器体系结构软件仿真器开发工具

在现代处理器体系结构设计中,利用软件仿真技术对设计结果进行验证是最重要的方面之一.然而,处理器体系结构仿真器的开发是一个非常困难的过程.主要的困难表现在三个方面:第一,目前用于处理器体系结构仿真器开发的编程语言如C或C 语言都是串行执行的语言,而处理器的各部件是可以并行运行的,使用串行编程语言编程来模拟并行执行的部件需要长时间的、仔细的程序功能与部件功能的匹配工作,并且容易出错;第二,使用串行程序来模拟并行部件的运行,模拟速度很低,并且仿真速度低是处理器体系结构软件仿真器开发领域的瓶颈问题;最后,仿真器仿真结果的可信度低也是一个关键问题.本文首先介绍了一种新的处理器体系结构软件仿真器开发工具,然后深入分析了该开发工具的优点和缺点,最后对该仿真器开发环境提出了改进方案.     

Simulating Robots Without Conventional Physics: A Neural Network Approach

The construction of physics-based simulators for use in Evolutionary Robotics (ER) can be complex and time-consuming. Alternative simulation schemes construct robotic simulators from empirically-collected data. Such empirical simulators, however, also have associated challenges. This paper therefore investigates the potential use of Artificial Neural Networks, henceforth simply referred to as Neural Networks (NNs), as alternative robotic simulators. In contrast to physics models, NN-based simulators can be constructed without requiring an explicit mathematical model of the system being modeled, which can simplify simulator development. The generalization abilities of NNs, along with NNs’ noise tolerance, suggest that NNs could be well-suited to application in robotics simulation. Investigating whether NNs can be effectively used as robotic simulators in ER is thus the endeavour of this work. Two robot morphologies were selected on which the NN simulators created in this work were based, namely a differentially steered robot and an inverted pendulum robot. Accuracy tests indicated that NN simulators created for these robots generally trained well and could generalize well on data not presented during simulator construction. In order to validate the feasibility of the created NN simulators in the ER process, these simulators were subsequently used to evolve controllers in simulation, similar to controllers developed in related studies. Encouraging results were obtained, with the newly-evolved controllers allowing experimental robots to exhibit obstacle avoidance, light-approaching behaviour and inverted pendulum stabilization. It was thus clearly established that NN-based robotic simulators can be successfully employed as alternative simulation schemes in the ER process.     

微型嵌入式GIS软件平台的重要意义及发展动态

近年来,嵌入式应用技术蓬勃发展,市场迅猛扩大,产品已经深入到工业生产和人们生活的各个角落,制造工业,过程控制,通讯,汽车,船舶,航空,航天,军事装备,消费类产品等都已成为嵌入式计算机的应用领域,给微型嵌入式GIS软件的研究与发展提供了良好的机遇,本文从技术发展背景,含义及特点,应用发展前景,国内外发展动态,我国微型嵌入式GIS软件平台发展的重要意义以及发展微型嵌入式GIS软件平台的技术探讨与建议等几方面对微型嵌入式GIS软件平台进行了详细的论述。