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监测区域的覆盖要求和向信宿传输数据的可靠性是多状态节点的无线传感网络(Wireless Sensor Net-works,WSNs)应用的关键.为了量化覆盖要求和数据传输的可靠性,提出区域覆盖-可靠(Area Coverage Reliability,ACR)指标.ACR指标结合WSN可靠、区域覆盖、能耗、信宿的移动、节点的随机值日率以及节点的多状态.并利用Monte Carlo仿真方法,构建能量矩阵评估节点和值日率对ACR的影响.能量矩阵反映了节点的剩余能量、向邻居节点传输数据所消耗的能量以及网络连通率.仿真结果表明,ACR并不随节点数的增加而呈线性增长,但值日率的增加使ACR下降. 相似文献
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舰船配套动员能力是现代化条件下海上作战能力的重要基础和根本保障。从供应链视角看,我国舰船配套动员能力仍存在诸多不足,亟待提升。本文对我国舰船配套动员能力现状进行初步评价,重点分析当前我国舰船配套动员面临的若干突出问题,如产业集中度较低、部分关键零部件可替代性差、服务保障体系不完善、供应链体系整体安全缺乏有效保障等,结合我国船舶工业发展现状,提出提升舰船配套动员能力的方向与策略,如系统提升动员供给能力、逐步实现全面自主可控、切实保障动员快速响应、着力抓好民船改装征用、有效扩展社会动员基础、确保战时生产正常稳定、健全维修服务保障体系等,并给出完善舰船配套动员工作机制、强化舰船配套动员能力建设、提高舰船配套供应链管理水平、加强舰船配套动员人才培养等相关政策建议。 相似文献
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Force chains based mesoscale simulation is conducted to investigate the response behavior of aluminum-polytetrafluoroethylene (Al-PTFE) granular composites under a low-velocity impact. A two-dimensional model followed the randomly normal distribution of real Al particles size is developed. The dynamic compressive process of Al-PTFE composites with varied Al mass fraction is simulated and validated against the experiments. The results indicate that, force chains behavior governed by the number and the size of agglomerated Al particles, significantly affects the impact response of the material. The failure mode of the material evolves from shear failure of matrix to debonding failure of particles with increasing density. A high crack area of the material is critical mechanism to arouse the initiation re-action. The damage maintained by force chains during large plastic strain builds up more local stresses concentration to enhance a possible reaction performance. In addition, simulation is performed with identical mass fraction but various Al size distribution to explore the effects of size centralization and dispersion on the mechanical properties of materials. It is found that smaller sized Al particle of com-posites are more preferred than its bulky material in ultimate strength. Increasing dispersed degree is facilitated to create stable force chains in samples with comparable particle number. The simulation studies provide further insights into the plastic deformation, failure mechanism, and possible energy release capacity for Al-PTFE composites, which is helpful for further design and application of reactive materials. 相似文献
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In order to accurately describe the transverse relaxation characteristic and stress relaxation modulus of HTPB coating during pre-strain thermal aging process, a one month thermal aging test was carried out at 70 C with pre-strain of 0%, 3%, 6% and 9%, respectively. The low-field 1H NMR and stress relaxation modulus tests were carried out for HTPB coating at different aging stages. The stress relaxation model considering the molecular chains was proposed according to the changes of crosslinking chain and dangling chain of HTPB coating during pre-strain aging. The results showed that with the increase of aging time, the decay rate of transverse relaxation curve became faster, the transverse relaxation time decreased, the value of combined parameter qMrl increased, the proportion of crosslinking chain decreased, while the proportion of dangling chain increased. Moreover, the stress relaxation modulus increased, the crosslinking network structure of HTPB coating became denser and the degree of cross-linking increased. At the initial aging stage, the pre-strain will destroy the crosslinking network structure of HTPB coating to a certain extent. With the increase of aging time, the effect of pre-strain will gradually weaken and the influence of aging on materials will gradually increase. The correlations between the stress relaxation model considering the molecular chains and the test results were more than 0.9950, which can accurately describe the stress relaxation modulus of HTPB coating during the pre-strain thermal aging process. 相似文献
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The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements. 相似文献