基于工程教育专业认证背景下地方特色院校“金课”建设的研究与探索

"金课"作为一项新提出不久的概念,许多重点院校和地方特色院校已经着手打造了一部分精品课程,主要是一些开放性课程和文法类课程,原因是这一类课程思维发散,教学手段多样,可以运用现代化信息技术手段采取线上线下教学模式。但是教育部推出的"金课"建设不单单只是针对于这些类课程,对于工科专业的课程建设,也需要打造"金课",尤其是以工程教育专业认证的标准和理念打造地方特色院校"金课",是我们这些地方特色工科院校需要重点研究和探索的。本文的研究重点在于如何把工程教育专业认证的理念与课程建设有机融合体现工科"金课"的"四性"。     

基于DLatLRR与VGG Net的红外与可见光图像融合

针对红外与可见光图像融合中特征损失严重、显著目标不突出的问题，提出了一种低秩表示分解与深度神经网络相结合的图像融合算法。首先，对源图像进行潜在低秩表示分解（DLatLRR），得到相应的低秩部分、显著部分及稀疏噪声。然后，分别采用16层的VGG Net模型和联合特征加权算法对低秩部分与显著部分进行融合，舍弃二者的稀疏噪声。最后，对融合得到的低秩部分和显著部分进行图像重建，得到最终的融合图像。实验结果表明:与其他算法进行比较，所提算法能够对图像的深层次细节特征进行融合，突出场景中的感兴趣区域，且融合图像的相关差异和、结构相似性、线性相关度等多种客观指标均有所提升，提升最大值分别为0.73、0.15、0.11，噪声产生率的最大缩减值为0.041 2。      

面向安全属性的软件组件可信依赖关系度量模型

随着软件的应用规模越来越大，软件系统一旦出现故障，很可能会造成人员伤亡或财产等重大损失，因此对软件可信性进行评估尤为重要.在安全攸关如航空航天等领域，作为可信关键属性之一的安全性影响着整个软件系统的可信评估.特别当一个组件受到安全攻击或缺陷出现时，可信性会下降，会影响到与它可信关联的组件可信性，从而影响到整个系统的可信性.遵循这一思路，设计了软件系统组件可信性发生改变后对其它组件可信性影响度量公式，进一步给出当一组件可信性发生变化，整个软件系统各组件可信性度量发生变化的度量模型.本文以某“航天电源管理设备”为例，证明了本文所建立的组件可信依赖关系度量模型的合理性和有效性.     

Effect of matching between the magnetic field and channel length on the performance of low sputtering Hall thrusters

Discharge characteristics of a non-wall-loss Hall thruster were studied under different channel lengths using a design based on pushing a magnetic field through a double permanent magnet ring. The effect of different magnetic field intensities and channel lengths on ionization, efficiency, and plume divergence angle were studied. The experimental results show that propellant utilization is improved for optimal matching between the magnetic field and channel length. While matching the magnetic field and channel length, the ionization position of the neutral gas changes. The ion flow is effectively controlled, allowing the thrust force, specific impulse, and efficiency to be improved. Our study shows that the channel length is an important design parameter to consider for improving the performance of non-wall-loss Hall thrusters.     

Facile Fabrication of Hierarchical Porous N/O Functionalized Carbon Derived from Blighted Grains Towards Electrochemical Capacitors

The hierarchical porous N/O co-functionalized carbon(HPNOC)was scalably prepared by using the lowcost and renewable blighted grains as the raw material coupled with mild KHCO_3 activation for electrochemical capacitors(ECs).The elemental N was in situ doped in the obtained HPNOC without any N-containing additives.Remarkably,the obtained HPNOC was endowed with a large specific surface area(about 2 624m~2·g~(-1)),high pore volume(about 1.35cm~3·g~(-1)),as well as high-content N/O functionalization(about 1.9%(in atom)N and about 10.2%(in atom)O.Furthermore,the as-resulted HPNOC electrode with a high mass loading of 5mg·cm~(-2 )exhibited competitive gravimetric capacitances of about 373.6F·g~(-1 )at 0.5A·g~(-1),and even about 260.4F·g~(-1 )at a high rate of 10A·g~(-1);superior capacitance retention of about 98.8%at 1A·g~(-1 )over 10 000consecutive cycles;and high specific energy of about 9.6W·h·kg~(-1 )at a power of 500W·kg~(-1),when evaluated as a promising electrode in 6mol KOH for advanced electrochemical supercapacitors.More encouragingly,the green synthetic strategy we developed holds a huge promise in generalizing for other biomass-derived carbon materials for versatile energy-related applications.     

Impact of rain on wave retrieval from Sentinel-1 synthetic aperture radar images in tropical cyclones

The main objective of our work was to investigate the impact of rain on wave observations from C-band (~5.3 GHz) synthetic aperture radar (SAR) in tropical cyclones. In this study, 10 Sentinel-1 SAR images were available from the Satellite Hurricane Observation Campaign, which were taken under cyclonic conditions during the 2016 hurricane season. The third-generation wave model, known as Simulating WAves Nearshore (SWAN) (version 41.31), was used to simulate the wave fields corresponding to these Sentinel-1 SAR images. In addition, rainfall data from the Tropical Rainfall Measuring Mission satellite passing over the spatial coverage of the Sentinel-1 SAR images were collected. The simulated results were validated against significant wave heights (SWHs) from the Jason-2 altimeter and European Centre for Medium-Range Weather Forecasts data, revealing a root mean square error (RMSE) of ~0.5 m with a 0.25 scatter index. Winds retrieved from the VH-polarized Sentinel-1 SAR images using the Sentinel-1 Extra Wide-swath Mode Wind Speed Retrieval Model after Noise Removal were taken as prior information for wave retrieval. It was discovered that rain did indeed affect the SAR wave retrieval, as evidenced by the 3.21-m RMSE of SWHs between the SAR images and the SWAN model, which was obtained for the ~1000 match-ups with raindrops. The raindrops dampened the wave retrieval when the rain rate was < ~5 mm/hr; however, they enhanced wave retrieval for higher rain rates. It was also found that the portion of the rain-induced ring wave with a wave number > 0.05 rad/m (~125 m wavelength) was clearly observed in the SAR-derived wave spectra.     

Local Path Planning and Tracking Control of Vehicle Collision Avoidance System

Automotive collision avoidance technology can effectively avoid the accidents caused by dangerous traffic conditions or driver's manipulation errors.Moreover,it can promote the development of autonomous driving for intelligent vehicle in intelligent transportation.We present a collision avoidance system,which is composed of an evasive trajectory planner and a path following controller.Considering the stability of the vehicle in the conflict-free process,the evasive trajectory planner is designed by polynomial parametric method and optimized by genetic algorithm.The path following controller is proposed to make the car drive along the designed path by controlling the vehicle's lateral movement.Simulation results show that the vehicle with the proposed controller has good stability in the collision process,and it can ensure the vehicle driving in accordance with the planned trajectory at different speeds.The research results can provide a certain basis for the research and development of automotive collision avoidance technology.     

差分卫星定位技术及其在武器系统中的应用

差分卫星定位系统可以极大地提高卫星定位的精度,但也有使用、维护复杂等缺点。针对差分卫星定位的特性,首先阐述了卫星差分定位的基本原理,分析了卫星定位误差源,并介绍了差分定位系统对各种误差的修正情况,然后介绍了差分定位系统的分类、方法及发展,其中详细介绍了在武器系统领域中应用较广的局域差分系统的各种方法及其优缺点;最后,对差分系统的实际应用进行了阐述,并重点探讨了其在进攻性武器及防御性武器领域实现应用的可行性。