钢框架-钢板剪力墙结构修复后的使用性能指标

为便于钢框架-钢板剪力墙结构震后快速修复,统计既有实验结果,提出修复后使用的三级性能指标,基于等效拉杆理论,研究结构在侧向载荷作用下塑性铰的出现顺序、层间位移角和结构应力发展等情况,并建立有限元模型对指标进行验证.结果 表明:在一级修复性能指标(位移角1/220)下,结构板墙轻微受损,对应的修复方法为对板墙进行轻微修复;在二级修复性能指标(位移角1/110)下,结构板墙几乎全面进入塑性状态,需要考虑换板或增加加劲肋修复;在三级修复性能指标(位移角1/85)下,结构板墙已经全部进入屈服状态,而且框架梁端也出现塑性铰,此时不仅需要对板墙进行修复,还要考虑对框架进行修复.     

基于RISC-V处理器的卷积加速SoC系统设计

为提高卷积神经网络（CNN）的计算效率和能效,以8 bit定点数据作为输入,设计一个支持激活、批标准化以及池化等CNN网络中常见计算类型的卷积加速器,优化循环计算顺序并将其与数据复用技术相结合,以提高卷积计算的效率。基于软硬件协同设计思想,构建包含RISC-V处理器和卷积加速器的SoC系统,RISC-V处理器基于开源的指令集标准,可以根据具体的设计需求扩展指令功能。将该SoC系统部署在Xilinx ZCU102开发板上,RISC-V处理器和卷积加速器分别工作在100 MHz和300 MHz频率下,测试结果表明,该加速器的算力达到153.6 GOP/s,运行VGG16网络进行图片推理计算时加速效果较好。     

认知任务驱动的fMRI脑功能网络构建方法

针对脑功能网络的构建受到特定大脑图谱对兴趣点描述准确度及覆盖度的限制,提出了基于认知任务信息和神经影像数据的脑功能网络构建方法。首先计算fMRI体素对于认知任务的敏感度,然后在此基础上选取兼顾分布均衡和去中心化的大脑兴趣点,从而构建任务驱动的脑功能网络。实验通过在人脸情绪识别认知任务相关的梭状回构造任务驱动的脑功能网络,其度中心性、聚类系数、全局效率、局部效率这四个复杂网络指标均优于典型大脑图谱梭状回中兴趣点构成的网络。结果表明,计算得到的大脑兴趣点具有更强的整合性,更适合用于表征特定认知任务下的脑功能网络。     

一种可追溯的比特币混淆方案

混淆技术是以比特币为代表的数字货币隐私保护的重要手段,然而,比特币中的混淆技术一方面保护了用户隐私,另一方面却为勒索病毒、比特币盗窃等非法活动提供了便利.针对该问题,提出了一种可追溯的比特币混淆方案,该方案旨在保护合法用户隐私的同时,可对非法资产混淆进行追溯.该方案在中心化比特币混淆基础上引入可信第三方分发用户签名密钥与监管混淆过程,用户签名密钥由基于双线性群和强Diffie-Hellman假设的群签名算法构造,以提供签名的匿名性与可追溯性.当有资产追溯需求时,可信第三方通过系统私钥打开用户签名以确定混淆输出地址,从而确定非法资产转移路径.安全分析表明,该方案不用修改当前比特币系统数据结构即可实施,可对非法资产混淆转移路径进行追溯,同时保护合法用户隐私与资产安全,且可抗拒绝服务攻击.此外,该方案为数字货币隐私保护研究提供了参考方向.     

Backstepping Sliding Mode Trajectory Tracking via Extended State Observer for Quadrotors with Wind Disturbance

To overcome nonlinear, underactuated and external wind disturbances problems for the 6-DOF (degrees of freedom) quadrotor unmanned aerial vehicle (UAV) system, a backstepping sliding mode control algorithm based on high-order extended state observer (ESO) is proposed. Based on the hierarchical control principle, the quadrotor UAV dynamic system is decomposed into position subsystem and attitude subsystem to facilitate the backstepping control design. Moreover, the EXO is used to estimate the remaining unmeasurable states and the external wind disturbances online. The advantages of the controllers are that they can not only ensure good tracking performance, but also deal with uncertain external disturbances. To imitate the real situation as much as possible, the external wind disturbances are composed of four basic wind models in this paper. The tracking error and estimate error of the design methods are shown to arbitrarily small by using Lyapunov theory. Finally, the effectiveness and superiority of the proposed control algorithm are proved by the simulation.

     

贵州省气象档案管理系统建设

贵州省气象档案管理系统的研究与开发,解决了贵州省气象信息中心在日常工作中气象档案收集至归档之间的脱节问题,减少了工作量,为档案管理员提供了完整的档案业务功能。它涵盖了档案的收、管、存、用的全过程,实现对各种档案种类进行有效的组织和管理,初步建立了贵州省气象档案的自动化管理,在一定程度上提高了贵州省气象档案管理水平。     

Optimization of uncertain acoustic metamaterial with Helmholtz resonators based on interval model

Uncertainties existing in the acoustic metamaterial may strongly affect its unusual properties. Aiming at this actuality, the interval model is introduced to treat with uncertainties existing in the acoustic metamaterial with Helmholtz resonators. Frequency intervals in which the sound intensity transmission coefficients are certainly less than the required value and the effective bulk moduli are certainly negative are defined as conservative approximations. Frequency intervals in which the sound intensity transmission coefficients may be less than the required value and the effective bulk moduli may be negative are defined as unsafe approximations. The proportion of the conservative approximation and the unsafe approximation is defined as an approximate precision. Based on the quantification of uncertainties of the sound intensity transmission coefficients and the negative effective bulk moduli, an optimization model for the interval acoustic metamaterial with Helmholtz resonators is constructed. Numerical results showed that even suffering from effects of interval parameters, unusual properties of the optimized acoustic metamaterial (such as the bandgap of the sound transmission and the negative effective bulk modulus) could be improved.     

电控柴油机分缸均衡控制算法及试验

柴油机各个气缸的进气量、喷油量、燃烧等存在差异,导致气缸间存在做功差异,直接影响柴油机转速的平稳性以及排放性能等。针对位置式电控柴油机,采用PI闭环控制,通过瞬时转速信号识别并计算各缸的工作差异,利用分缸均衡控制算法对油量进行补偿修正。试验结果显示低转速稳态工况转速波动由7 r/min降至3 r/min,各缸工作不均匀度由±5 r/min降至±2 r/min,在瞬态过程和高转速3 400 r/min时该算法仍然适用有效。     

基于模糊层次分析的动态联盟伙伴选择策略

论述了基于模糊层次分析(AHP)的动态联盟伙伴选择策略。综合运用AHP方法和模糊决策方法构建了动态联盟伙伴选择的排序模型 ,通过求解该模型来得到参考排序值 ,力求使排序的结果能够客观、公正地反映不精确决策所蕴含的客观规律 ,以保证选择策略的准确性