基于部分可辨识振动系统的载荷恢复方法

在复模态分析和参数辨识的基础上,对部分可辨识振动系统的载荷识别问题进行了研究,提出了基于部分可辨识复模态参数的载荷恢复方法。恢复模型存在幅值模糊和相位模糊,不存在排列模糊。数值仿真验证了该方法的有效性,并讨论了提高恢复精度的方法。     

法学教学中案例教学法的反思与探索

法学是一门理论性与实践性都很强的学科,法学教育的目的在于为社会培养应用型、实践型的法律人才。传统上重理论轻实践的教学模式已无法满足这一要求,而科学合理地引入案例教学是弥补传统模式不足的有效手段。     

军民融合与技术创新

军民融合成为适应时代和平主旋律的一种新的国际趋势。随着现代科学技术的发展,技术创新有助于促进我国转变经济增长方式、有助于建设创新型国家、有助于增强我国的综合国力。军民融合与技术创新两者并不是相分离的,技术创新需要军民融合的不断深化提供资金、人才以及法律支持,同时军民融合促进技术创新模式选择。     

舰艇作战系统工作模式及其作战对策分析

探讨了基于敌情事件触发的舰艇作战系统工作模式及其作战对策。根据舰艇的内外部需求,依据传感器系统与武器系统所处的状态,提出了舰艇作战系统的五种工作模式。并研究了在敌情事件触发下,如何根据舰艇所处的工作模式,迅速做出相应的作战对策,给出各种模式下的模式转换流程。这种作战对策可使作战过程自动化、信息传输扁平化,从而提高舰艇在紧急状况下的反应速度。     

舰载电子设备布线设计方法及其工程应用

针对舰载电子设备布线所导致的电磁兼容问题,以及传统电子设备布线设计效率和布线施工效率低等问题,在介绍布线设计技术的基础上,提出了一种舰载电子设备布线设计的方法。在此基础上,给出了在没有进行三维布线设计的情况下,布线设计的替代方案——一种简化的布线设计方法。通过舰载电子设备布线设计,给出了解决电子设备电磁兼容问题的方法,提高了电子设备布线设计效率和布线施工效率。     

作战实验在海军装备体系建设中的应用研究

结合国内外作战实验研究现状,详细分析了作战实验体系的应用领域和类别,描述了典型作战实验体系的构架,在此基础上重点对作战实验在海军装备体系建设中的应用需求进行了分析,最后提出了一种作战实验在海军装备体系建设中的典型应用模式。     

空袭模式的进化与防护技术的发展

通过分析空袭兵器、空袭历史、防空体系和防护技术的发展,将空袭模式划分为防区内(低空)地毯式打击、防区内(中低空)多手段打击、防区外陆海空三位一体精确打击三代。将防护体系划分为"边陲墙壕烽火台+腹地城池"、"防空系统+防护工程"两代。并预测了第四代空袭模式:防区外陆海空天四位一体全球快速精确打击和与之相对应的第三代"防空反导+信息化防护工程"防护体系。根据打击力和防护力相生相克的矛盾运动,提出了末端防护工程应吸收信息技术、发展综合防护技术,信息化时代的防护工程不仅要保护可以转入地下的目标,而且要保护无法转入地下的目标。从源头上为陆基目标防护的研究和建设提供参考和启迪。     

基于FMECA的某型雷达系统故障分析

故障模式、影响及危害性分析 (简称FMECA)是提高系统可靠性的一种有效的工具。在雷达系统故障分析中运用FMECA方法 ,通过计算机辅助程序实现了故障分析的预测分析和定量分析。与传统的故障分析方法相比 ,该方法能够避免分析中的盲目性和主观性 ,可以获得更为准确的分析结果     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.     

Pricing and capacity allocation strategies: Implications for manufacturers with product sharing

Emerging sharing modes, like the consumer-to-consumer (C2C) sharing of Uber and the business-to-consumer (B2C) sharing of GoFun, have considerably affected the retailing markets of traditional manufacturers, who are motivated to consider product sharing when making pricing and capacity decisions, particularly electric car manufacturers with limited capacity. In this paper, we examine the equilibrium pricing for a capacity-constrained manufacturer under various sharing modes and further analyze the impact of capacity constraint on the manufacturer's sharing mode selection as well as equilibrium outcomes. We find that manufacturers with low-cost products prefer B2C sharing while those with high-cost products prefer C2C sharing except when the sharing price is moderate. However, limited capacity motivates manufacturers to enter into the B2C sharing under a relatively low sharing price, and raise the total usage level by sharing high-cost products. We also show that the equilibrium capacity allocated to the sharing market with low-cost products first increases and then decreases. Finally, we find that sharing low-cost products with a high limited capacity leads to a lower retail price under B2C sharing, which creates a win-win situation for both the manufacturer and consumers. However, sharing high-cost products with a low limited capacity creates a win-lose situation for them.