内燃机水泵能效评价方法探讨

内燃机水泵能效评价指标包括泵效率、总效率和燃油消耗率。泵效率来源于泵类产品的能效评价,其方法来源于GB／T24673—2009小型汽油高速离心泵能效评价体系,不足在于测量输入功率时对样机的损坏,导致装配测量误差增加。总效率来源于潜水电泵能效评价,由于输入功率、油料发热值计算的不确定性,致使计算值与真实值误差。燃油消耗率来源于内燃机能效评价,即JB/T6665轻型柴油机泵能效评价体系,其燃油消耗率计算方法欠妥,为内燃机水泵能效评价留下了严重漏洞。本文通过对集中评价方法计算分析,结合试验数据,从参数敏感程度、参数习惯性、参数曲线差异、标准依据、测试方法科学性、测试参数准确性、环境影响等方面做了较深入的分析探讨,发现采用燃油消耗率法评价内燃机水泵能效最优。     

试谈在中职游戏设计类专业进行游戏引擎教学研究

中职类学校的游戏设计类专业,应该让学生学习些简单的游戏引擎设计,让学生能全面感知游戏的构成,从而有利于学生的就业和未来的再学习。     

基于ArcGIS Engine的可扩展地图标绘系统

研究了ArcGIS Engine的人机交互编程接口和空间数据符号化渲染技术,提出了基于ArcGIS Engine的可扩展地图标绘技术方法,并实现了一个突发事件应急标绘系统。系统消息管理模块利用C#反射机制,将各种菜单、工具的消息处理类进行配置组装;绘图工具类实现ITool接口,完成鼠标消息处理,利用GDI＋进行复杂符号的绘制。     

基于淘宝直通车的竞价决策系统的研究与设计

电子商务蓬勃发展的大环境下,广告主具有强烈的电商广告投放意愿,显然他们并未达到电商广告的核心业务SEM （搜索引擎营销优化）的专业要求。所以广告主希望借助第三方工具来进行搜索引擎广告投放的一站式服务来满足其业务需求。基于此,本文将提供一整套的竞价词托管式服务的解决方案。以淘宝直通车这一全新的搜索竞价模式作为研究对象,从语义抽取、关键词扩展、竞价词生成、模型化出价、广告效果正向反馈监控模型几方面进行分析和统计,为直通车广告主提供最优投放策略整体解决方案。第一阶段针对商品信息进行数据挖掘,实现关键词推荐引擎。第二阶段实现投放优化模块,实施定价策略,建立的点击量与PPC（“平均点击花费”）模型,实现在预算资金的约束下对不同竞价组合进行ROI（投入产出比）最大化的投资决策。以实际效果改善直通车竞价搜索用户体验。     

Nonlinear model predictive control of an internal combustion engine exposed to measured disturbances

This work presents the design procedure of a speed controller for a large, lean burn, natural gas engine in island mode operation. This is a disturbance rejection problem with a measured, large disturbance. The core element is a nonlinear model predictive control (NMPC) algorithm that serves as outer loop controller in a cascaded control structure and generates set-points for low level control loops. The NMPC relies on a control oriented model that includes the physics based equations, assumptions on underlying control loops and constraints given by the control requirements. It is shown how to design the running cost such that the stability of the NMPC without terminal cost and constraints can be guaranteed for the nominal system and for the perturbed system exposed to parametric uncertainties and un-modeled dynamics. The functionality of the control strategy is demonstrated in simulation and by experimental results derived at the engine-testbed.     

The CARE platform for the analysis of behavior model inference techniques

ContextFinite State Machine (FSM) inference from execution traces has received a lot of attention over the past few years. Various approaches have been explored, each holding different properties for the resulting models, but the lack of standard benchmarks limits the ability of comparing the proposed techniques. Evaluation is usually performed on a few case studies, which is useful for assessing the feasibility of the algorithm on particular cases, but fails to demonstrate effectiveness in a broad context. Consequently, understanding the strengths and weaknesses of inference techniques remains a challenging task.ObjectiveThis paper proposes CARE, a general, approach-independent, platform for the intensive evaluation of FSM inference techniques.MethodGrounded in a program specification scheme that provides a good control on the expected program structures, it allows the production of large benchmarks with well identified properties.ResultsThe CARE platform demonstrates the following features: (1) providing a benchmarking mechanism for FSM inference techniques, (2) allowing analysis of existing techniques w.r.t. a class of programs and/or behaviors, and (3) helping users in choosing the best suited approach for their objective. Moreover, our extensive experiments on different FSM inference techniques highlight that they do not behave in the same manner on every class of program. Characterizing different classes of programs thus helps understanding the strengths and weaknesses of the studied techniques.ConclusionExperiments reported in this paper show examples of use cases that demonstrate the ability of the platform to generate large and diverse sets of programs, which allows to carry out meaningful inference techniques analysis. The analysis strategies the CARE platform offers open new opportunities for program behavior learning, particularly in conjunction with model checking techniques. The CARE platform is available at http://care.lip6.fr.     

汽车电控发动机故障诊断专家系统在高职教学中的应用

随着电子控制技术在汽车上的广泛应用,电控发动机的检修日益成为汽车维修的重点和难点,同时,发动机电控系统检修也是高职高专汽车类专业重要的专业课之一。对模糊理论和BP神经网络在故障诊断方面的应用进行了探讨,以BP神经网络为主,采用模糊理论作为有益补充设计了电控发动机故障诊断专家系统,给学生创造接近实际的虚拟学习环境,增强学生的学习积极性,取得了良好的教学效果。     

运维管理平台工作流引擎设计

论述在运维管理平台设计中针对业务发展对系统功能的不断要求引入工作流引擎.实现方便地创建公文流程,不需要编写任何代码;方便地构建业务流程,并能无缝融合到现有的IT服务流程中;方便流程配置、管理,通过图形化工具来确定流程的定义功能,方便流程的变更.     

基于OGRE和ODE的碰撞检测在巷道漫游系统中的研究

为了提高交互漫游系统中动态人物与静态场景对象之间的碰撞检测性能,提出了将动态人物采用包围盒的方法,与地面、巷道等静态物体采用三角网格面的方法相结合的思想,并将其应用于OGRE和ODE环境的巷道漫游系统中。结果表明,此方法提升了碰撞检测性能,满足了虚拟现实中实时性的要求。     

基于分布式中间件ICE的应用架构研究

在分布式系统中,分布式平台之间的差异增加了开发的复杂性.基于一种轻量级的分布式中间件ICE,提出了在分布式异构环境中的一般架构模型.该模型可以降低模块之间的耦合度,解决服务器负载过大的问题.将该模型应用到网络安全管理系统中,解决了网络安全管理系统中平台差异问题和服务器负载均衡问题.