基于HLA的模拟训练仿真系统开发设计

运用模拟训练系统进行军事训练是当前部队提高战斗力的重要手段。针对部队当前运用模拟训练系统中存在的问题,文章提出了基于HLA的模拟训练仿真系统的开发设计,介绍了高层体系结构HLA及基于HLA的仿真应用系统的开发过程,给出了基于HLA的模拟训练仿真系统的体系结构及信息流程。     

网络自动生成器NSG在网络教学中的应用

针对计算机网络课程教学抽象难懂,实验条件要求高及设备昂贵的特点,在实际授课过程中,提出应用网络模拟与仿真的方法来辅助教学,在网络仿真器NS2的基础上,应用可以自动生成有线及无线网络环境的网络自动生成器(NSG)来辅助日常的理论及实践教学,经过实践,该仿真平台的应用对提高计算机网络课程教学的效果和水平起到了积极作用。     

仿真应用问题中通用框架的技术研究

基于仿真的类似应用问题,具有很大的相似性,在构建新的应用系统时可以把相同的东西,如方法、模型、框架、数据提取出来共享,其它不同的地方根据需要做出相应的改造,可以达到快速开发、迅速升级的目的。基于这种共享的思想,提出一种基于仿真的通用框架规范SBX,给出仿真应用通用软件的四层结构体系,并介绍有关软件设计的4项主要内容及其6种关键技术。基于SBX仿真通用框架规范,不断完善相应的应用理论,能快捷和方便地实现系统的更新换代,使各类仿真应用系统发挥更大的作用。     

基于Vega粒子系统的自由大气分子运动虚拟仿真

在军事训练中,三维仿真的战场环境发挥了极为重要的作用。本文将对战场环境中的自由大气进行虚拟仿真。首先分析自由大气中运动分子的性质,详细介绍在模拟不规则自然现象中运用最多的粒子系统技术,最后在Vega中运用粒子系统对大气分子的运动进行模拟仿真。仿真结果能基本模拟出大气分子的运动特性,且可以通过接口编程访问粒子的属性,从而能在无人机等航迹规划的危险天气现象的规避中加以运用。     

关于I/O模拟的讨论

详细分析Windows的I/O机制,提出了分别在用户级、系统级、驱动级的I/O模拟操作,通过实际案例和源代码分享在I/O模拟上的得失,着重介绍鼠标与键盘的模拟。     

基于VC＋＋的仿真训练系统编程

给出了以PCI-I64IOT型I/O卡为核心的硬件接口电路和软件设计思想,详细分析了编程方法。实践表明,利用该系统能完全实现侦察专业的全部训练科目,满足部队和院校训练的需要。     

虚拟现实技术在反恐训练中的研究进展

介绍了虚拟现实技术的国内外研究现状,以及仿真技术与虚拟现实技术结合使用的发展趋势.为了更好地履行反恐使命,适应形势的发展,有必要提高反恐教学训练质量,创新反恐行动教学训练手段.将仿真技术和虚拟现实技术应用于路边炸弹的虚拟及仿真,能使反恐受训者不受时间、空间、经费和器材的限制,利用各种3D虚拟模型任意组装不同起爆方式下的路边炸弹,拓展其想象空间和创新思维,使之对路边炸弹的结构组成、工作原理及爆炸效应等有深刻理解.     

Building a right digital twin with model engineering

In recent years, the concept of digital twin (DT) is attracting more and more attention from researchers and engineers. But there is still no consensus on what a right DT is. On one hand, some common models are renamed as DTs. On the other hand, some DTs extremely pursue ‘the same’ as physical objects, which bring unnecessary complexities to them. In this paper, we try to answer two questions from the point of view of model engineering: how to define a right digital twin, and how to build a right digital twin. The concept and related technologies of model engineering are introduced. Some basic principles and a set of metrics for a right DT are given. An evolutionary concurrent modeling method for DT (ECoM4DT) is proposed not only inheriting the theory from classic M&S methods but also highlighting the characteristics of DT compared with traditional models to systemically guide the DT modeling process.     

Transformation of semantic knowledge into simulation-based decision support

Simulation is capable to cope with the uncertain and dynamic nature of industrial value chains. However, in-depth system expertise is inevitable for mapping objects and constraints from the real world to a virtual model. This knowledge-intensity leads to long development times of respective projects, which contradicts the need for timely decision support. Since more and more companies use industrial knowledge graphs and ontologies to foster their knowledge management, this paper proposes a framework on how to efficiently derive a simulation model from such semantic knowledge bases. As part of the approach, a novel Simulation Ontology provides a standardized meta-model for hybrid simulations. Its instantiation enables the user to come up with a fully parameterized formal simulation model. Newly developed Mapping Rules facilitate this process by providing guidance on how to turn knowledge from existing ontologies, which describe the system to be simulated, into instances of the Simulation Ontology. The framework is completed by a parsing procedure for an automated transformation of this conceptual model into an executable one. This novel modeling approach makes model development more efficient by reducing its complexity. It is validated in a use case implementation from semiconductor manufacturing, where cross-domain knowledge was required in order to model and simulate the impacts of the COVID-19 pandemic on a global supply chain network.     

Customer entrepreneurship on digital platforms: Challenges and solutions for platform business models

Drawing on the mixed methods of qualitative research and agent‐based simulation, this study examines: (a) how end‐users use digital platforms to become customer–entrepreneurs undertaking commercial activities on platforms; and (b) how platform providers can convert this customer entrepreneurship into a revenue stream. Considering that end‐users have traditionally been defined as passive and uncharged actors in platform business models, an in‐depth understanding of their commercial activities and the viable revenue model to monetize this emerging customer practice is warranted. Our qualitative study reveals that customer–entrepreneurs make substantial use of platform offerings to advertise their products; communicate with end‐consumers; and accept payments. These commercial activities are largely exercised for free on platforms, even though they could otherwise serve as a source of revenue. On this point, our simulation results identify two pricing models achieving the generation of nearly identical revenues over time. First, platform providers may charge both advertising and transaction fees, which maximize the survival of professional customer–entrepreneurs. Second, platform businesses may levy advertising fees only, which maximizes the survival of informal customer–entrepreneurs operating on a micro‐scale and part‐time basis. This study offers theoretical, methodological, and managerial implications for platform studies.