Superior corrosion resistance-dependent laser energy density in(CoCrFeNi)95Nb5 high entropy alloy coating fabricated by laser cladding

(CoCrFeNi)95Nb5 high entropy alloy(HEA)coatings were successfully fabricated on a substrate of Q235 steel by laser cladding technology.These(CoCrFeNi)95Nb5 HEA coatings possess excellent properties,particularly corrosion resistance,which is clearly superior to that of some typical bulk HEA and common engineering alloys.In order to obtain appropriate laser cladding preparation process parameters,the effects of laser energy density on the microstructure,microhardness,and corrosion resistance of(CoCrFeNi)95Nb5 HEA coating were closely studied.Results showed that as the laser energy density increases,precipitation of the Laves phase in(CoCrFeNi)95Nb5 HEA coating gradually decreases,and diffusion of the Fe element in the substrate intensifies,affecting the integrity of the(CoCrFeNi)95Nb5 HEA.This decreases the microhardness of(CoCrFeNi)95Nb5 HEA coatings.Moreover,the relative content of Cr2O3,Cr(OH)3,and Nb2O5 in the surface passive film of the coating decreases with increasing energy density,causing corrosion resistance to decrease.This study demonstrates the controllability of a high-performance HEA coating using laser cladding technology,which has significance for the laser cladding preparation of other CoCrFeNi-system HEA coatings.     

基于专利数据的葛根产业发展现状研究

葛根作为我国传统的中药材之一,在食品和药品领域皆有很强的产业化价值.随着我国乡村振兴工作的推进,葛根由于其对于山地、林地的适应性,被广泛用于乡村振兴工作当中,但目前葛产业的发展不够充分,发展前景和发展趋势不够明朗,存在诸多发展问题.随着科技的发展,专利与产业的发展息息相关.文章通过对葛根相关专利数据的搜集整理,对葛根及葛根素专利的分析,整理出了现阶段葛根产业发展的问题,对葛根产业目前存在的发展不平衡、不充分现状进行了详细的分析说明,并提出了葛根产业未来发展的建议.     

ID-Based Public Auditing Protocol for Cloud Storage Data Integrity Checking with Strengthened Authentication and Security

Cloud storage service reduces the burden of data users by storing users’ data files in the cloud. But, the files might be modified in the cloud. So, data users hope to check data files integrity periodically. In a public auditing protocol, there is a trusted auditor who has certain ability to help users to check the integrity of data files. With the advantages of no public key management and verification, researchers focus on public auditing protocol in ID-based cryptography recently. However, some existing protocols are vulnerable to forgery attack. In this paper, based on ID-based signature technology, by strengthening information authentication and the computing power of the auditor, we propose an ID-based public auditing protocol for cloud data integrity checking. We also prove that the proposed protocol is secure in the random oracle model under the assumption that the Diffie-Hellman problem is hard. Furthermore, we compare the proposed protocol with other two ID-based auditing protocols in security features, communication efficiency and computation cost. The comparisons show that the proposed protocol satisfies more security features with lower computation cost.     

全煤厚掘进巷道瓦斯涌出数值模拟

为揭示全煤厚掘进中煤巷瓦斯涌出规律,采用有限体积法对煤巷掘进过程中巷帮瓦斯压力及巷道瓦斯涌出速率进行数值模拟,瓦斯渗流过程控制方程采用C-N隐式时间积分方案离散化.研究结果表明:掘进煤巷巷帮采动应力集中区煤体渗透率减小对巷帮深处瓦斯向巷道方向运移具有明显的抑制作用;掘进煤巷瓦斯涌出主要集中于迎头部位,致使一个掘进循环周期内掘进煤巷瓦斯涌出总速率波动大.     

基于卷积神经网络的OFDM频谱感知方法

在认知无线电网络中,高效且准确的频谱感知是必不可少的一个环节。针对传统机器学习算法在频谱感知训练慢的难题,提出一种基于卷积神经网络的正交频分复用(orthogonal frequency division multiplexing,OFDM)频谱感知方法,将深度学习在图像处理上的优势应用到OFDM信号频谱感知中。该方法首先分析OFDM信号的循环自相关和频谱感知模型,对循环自相关进行归一化灰度处理,形成循环自相关灰度图;然后以LeNet-5网络为基础设计卷积神经网络分层地对训练数据进行学习,提取出更加抽象的特征;最后将测试数据输入到训练好的卷积神经网络模型,完成频谱感知。仿真实验表明,该方法能够完成OFDM信号的频谱感知,在低信噪比条件下具有较高的检测概率。     

基于强化学习和共识融合的分布式协作频谱感知方法

在频谱感知中为了解决不同信誉用户网络节点之间的数据融合问题,提出了一种基于强化学习和共识融合的分布式协作频谱感知方法。该方法将每个感知用户认为是一个智能体(agent), agent通过强化学习算法从相邻节点选择合作用户进行共识融合,采用信誉值作为奖励,确保agent倾向于信誉高的节点进行融合,并同时降低恶意用户的信誉值,使其逐渐退出感知网络,最后采用一致性融合方法使整个网络达成共识,并与判决门限对比,完成协作频谱感知。仿真实验表明,该方法能够有效的识别恶意用户,并通过强化学习提高整个网络的感知性能,使协作频谱感知网络更具智能性和稳定性。     

Financial volatility modeling: The feedback asymmetric conditional autoregressive range model

An implied assumption in the asymmetric conditional autoregressive range (ACARR) model is that upward range is independent of downward range. This paper scrutinizes this assumption on a broad variety of stock indices. Instead of independence, we find significant cross‐interdependence between the upward range and the downward range. Regression test shows that the cross‐interdependence cannot be explained by leverage effect. To include the cross‐interdependence, a feedback asymmetric conditional autoregressive range (FACARR) model is proposed. Empirical studies are performed on a variety of stock indices, and the results show that the FACARR model outperforms the ACARR model with high significance for both in‐sample and out‐of‐sample forecasting.     

颈型颈椎病功能锻炼的研究概述

近年来,颈型颈椎病的发病率不断增高,对人们的工作、生活造成严重影响。研究表明,功能锻炼对颈型颈椎病的康复有重要作用,功能锻炼的方法分为传统中医气功锻炼法、肌力锻炼和保健操3类,这些方法实用、有效、方便,在颈型颈椎病的治疗中可以综合运用这些方法,从而在更短的时间里收到比以往更好的疗效。