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环境信息动态更新是分布式虚拟环境的一个主要特点,如何使环境信息更新更活跃、更反应实际情况,一直是分布式虚拟环境研究的重点。在典型的分布式交互环境中,环境信息动态更新是基于协议数据单元(PDU),它不提供数据可靠性传输保证。如何保证分布式环境中各结点环境信息一致性,本文提出了一种信息校验和协议,它通过极少的信息传输就可保证各结点环境信息高度一致。文中定义了保证分布式环境信息动态一致性更新的协议数据单元,并在试验环境中证明了协议的可靠性。 相似文献
954.
动力学环境试验技术已被广泛应用 ,但动力学环境预示技术还没有得到很好的重视和发展。讨论了几种动力学环境预示方法的特点 ,着重研究了统计能量分析 ( SEA)方法的原理及其应用 ,并以某型号发动机长尾喷管舱为例 ,具体给出其工程分析估计过程 相似文献
955.
现代多功能制导站中央控制计算机并行计算技术研究 总被引:1,自引:1,他引:0
:通过实例分析 ,研究了现代多功能制导站中央控制计算机适合并行计算的软硬件结构与设计思想 相似文献
956.
利用OpenGL研制导弹飞行三维动画软件的关键技术 总被引:2,自引:0,他引:2
介绍了利用OpenGL在PC机上研制具有超强真实感的导弹飞行实时三维动画的关键技术。其中包括 :软件交互界面的设计技术、导弹三维外形建模技术、导弹模型变换技术以及导弹实战环境渲染技术等 相似文献
957.
Inwook Kim 《Contemporary Security Policy》2019,40(2):165-192
The 2016 decision to deploy Terminal High Altitude Area Defense (THAAD) to South Korea has generated multitude of intensely politicized issues and has proved highly controversial. This has made it challenging to alleviate, let alone clarify, points of analytical and policy tensions. We instead disaggregate and revisit two fundamental questions. One is whether THAAD could really defend South Korea from North Korean missiles. We challenge the conventional “qualified optimism” by giving analytical primacy to three countermeasures available to defeat THAAD–use of decoys, tumbling and spiral motion, and outnumbering. These countermeasures are relatively inexpensive to create but exceedingly difficult to offset. Second, we assess the optimal way to ensure South Korean national security against North Korean missiles. By examining the balance of capability and issues of credibility/commitment, we show that the U.S. extended deterrence by punishment remains plentiful and sufficiently credible even without enhancing the current defense capability. 相似文献
958.
为实现多枚导弹协同攻击目标,提出视场角限制下攻击时间角度控制导引律。通过在传统比例导引上增加两项偏置项,推导出一种新型攻击时间和角度控制的导引律,并用Lyapunov理论证明其稳定性。针对导弹大机动下视场角可能超过导引头视场角范围而丢失目标的问题,将用于角度控制的偏置项分为三个阶段,设计了导引头视场角限制下的导引过程。仿真结果表明:所设计的导引律可以将视场角限制在导引头视场角范围内,实现不同位置下的多枚导弹以指定角度同一时间攻击目标,达到导弹协同攻击的效果。 相似文献
959.
《防务技术》2020,16(3):588-595
3D-Honeycombed CL-20 structures with low critical size of detonation have been fabricated successfully for intelligent weapon systems using a micro-flow direct ink writing (DIW) technology. The CL-20-based explosive ink for DIW technology was prepared by a two-component adhesive system with waterborne polyurethane (WPU) and ethyl cellulose (EC). Not only the preparation of the explosive ink but also the principle of DIW process have been investigated systematically. The explosive ink displayed strong shear-thinning behavior that permitted layer-by-layer deposition from a fine nozzle onto a substrate to produce complex shapes. The EC content was varied to alter the pore structure distribution and rheological behavior of ink samples after curing. The deposited explosive composite materials are of a honeycombed structure with high porosity, and the pore size distribution increases with the increase of EC content. No phase change was observed during the preparation process. Both WPU and EC show good compatibility with CL-20 particles. Apparently high activation energy was realized in the CL-20-based composite ink compared with that of the refined CL-20 due to the presence of non-energetic but stable WPU. The detonation performance of the composite materials can be precisely controlled by an adjustment in the content of binders. The 3D honeycombed CL-20 structures, which are fabricated by DIW technology, have a very small critical detonation size of less than 69 μm, as demonstrated by wedge shaped charge test. The ink can be used to create 3D structures with complex geometries not possible with traditional manufacturing techniques, which presents a bright future for the development of intelligent weapon systems. 相似文献
960.
《防务技术》2020,16(1):263-273
Electronic warfare is a modern combat mode, in which predicting digital material consumption is a key for material requirements planning (MRP). In this paper, we introduce an insensitive loss function (ε) and propose a ε-SVR-based prediction approach. First, we quantify values of influencing factors of digital equipments in electronic warfare and a small-sample data on real consumption to form a real combat data set, and preprocess it to construct the sample space. Subsequently, we establish the ε-SVR-based prediction model based on “wartime influencing factors - material consumption” and perform model training. In case study, we give 8 historical battle events with battle damage data and predict 3 representative kinds of digital materials by using the proposed approach. The results illustrate its higher accuracy and more convenience compared with other current approaches. Taking data acquisition controller prediction as an example, our model has better prediction performance (RMSE = 0.575 7, MAPE (%) = 12.037 6 and R2 = 0.996 0) compared with BP neural network model (RMSE = 1.272 9, MAPE (%) = 23.577 5 and R2 = 0.980 3) and GM (1, 1) model (RMSE = 2.095 0, MAPE (%) = 24.188 0 and R2 = 0.946 6). The fact shows that the approach can be used to support decision-making for MRP in electronic warfare. 相似文献