具有硬核—软壳结构的丙烯酸聚合物乳液的研究

利用种子乳液聚合法合成了具有硬核—软壳结构的丙烯酸聚合物微粒子,通过对种子粒子数和最终粒子数的理论计算,并结合最低成膜温度(MFT)的测试结果,描述了聚合物微粒子的聚合过程,同时,还对聚合物乳液的各项性能进行了研究。     

Multi-channel power allocation based on market competitive equilibrium in cognitive radio networks

Cognitive radios such as intelligent phones and Bluetooth devices have been considered essential goods in next-generation communication systems.Such devices will have to share the same frequency band owing to the limited bandwidth resource.To improve spectrum efciency,we formulate multi-channel power allocation as a market competitive equilibrium(CE)problem,and prove that its solution exists and is unique under the condition of weak interference.We then propose two distributed power allocation algorithms achieving CE,namely the fast convergent power allocation algorithm(FCPAA)and the social-fairness-aware FCPAA(SFAF).Theoretical analysis and simulation results demonstrate that the proposed algorithms lead to better system performance in terms of the guaranteed interference temperature constraint using the price mechanism instead of a strategy based on the Nash equilibrium.Moreover,it is shown that the FCPAA maximizes total utility,and converges more quickly than the method addressed in prior research with the help of improved round-robin rules.However,the FCPAA cannot ensure the same social fairness among secondary users as the SFAF scheme in both the non-fading channel and Rayleigh fading channel;the SFAF balances the individual utility by adjusting each user’s budget at the expense of a small quantity of system total throughput.     

薄壁压力容器筒体纵焊缝角变形对应力的影响

提出压力容器简体纵焊缝产生角变形的模型。用简明的解析方法和有限元方法,探讨由变形引起的应力集中系数K_(ta)。结果表明,利用应力集中系数估算焊缝棱角对应力的影响是较合实际的,其公式为:K_(ta)=1+6E/S,式中E为棱角度,S为筒体壁厚。     

北斗高精度定位的地质灾害监测系统的设计

针对滑坡等地质灾害实时监测难,传统的灾害监测方法自动化程度低、灾害预警不及时等问题,设计了基于北斗的地质灾害监测系统。该系统主要由数据采集终端、数据传输层和软件端三部分构成。数据采集终端集成了树莓派、北斗定位模块、雨量计、温湿度传感器、摄像头模块等,并通过数据传输层将实时地质数据传输至云端,实现了数据自动采集与传输。系统通过太阳能板和蓄电池实现了稳定供电。实验结果表明,该系统实现了野外地质数据的自动采集、传输和高精度北斗定位,并且具有全天候、自动化监测的特点,可以广泛应用。     

A color image watermarking framework for copyright protection of stereo images based on binocular just noticeable difference and LU decomposition

Multimedia Tools and Applications - The copyright protection of three-dimensional (3D) content is a matter of interest in artistic and creative works due to the rights of the holder for the...     

Neural network-based adaptive decentralized learning control for interconnected systems with input constraints

In this paper, the neural network-based adaptive decentralized learning control is investigated for nonlinear interconnected systems with input constraints. Because the decentralized control of interconnected systems is related to the optimal control of each isolated subsystem, the decentralized control strategy can be established by a series of optimal control policies. A novel policy iteration algorithm is presented to solve the Hamilton–Jacobi–Bellman equation related to the optimal control problem. This algorithm is implemented under the actor-critic structure where both neural networks are simultaneously updated to approximate the optimal control policy and the optimal cost function, respectively. The additional stabilizing term is introduced and an improved weight updating law is derived, which relaxes the requirement of initial admissible control policy. Besides, the input constraints of interconnected systems are taken into account and the Hamilton–Jacobi–Bellman equation is solved in the presence of input constraints. The interconnected system states and the weight approximation errors of two neural networks are proven to be uniformly ultimately bounded by utilizing Lyapunov theory. Finally, the effectiveness of the proposed decentralized learning control method is verified by simulation results.     

一种改进DA算法的成型滤波器设计

针对高速、高阶成型滤波器的实现问题,在传统分布式DA算法的基础上,提出一种改进算法.利用升采样过程中内插零的结构特点,使用逻辑单元LUT代替存储ROM,减少了有效地址位数,提高了寻址速度;利用表分割算法和滤波器系数的对称性,并通过增加流水线结构,进一步节约了存储资源的消耗,提升了运算速度.通过与商用FIR IP核(DA算法)的实测对比,所提算法最大实现速率有所提高,且在高阶滤波器设计时不受硬件ROM大小和数量的限制,有效改善了逻辑资源的使用情况.     

新建工程类本科院校服务地方经济发展的对策

新建工程类本科院校在服务地方经济与社会发展方面有重要作用。剖析了新建工程类本科院校在服务地方经济发展过程中发展定位、课程设置、实践锻炼、经济效益、人才队伍等方面存在的问题,并从找准发展定位、科学设置课程、政产学研联合、合理配置师资等方面提出了有针对性的对策。     

基于GMD-DPC/THP的两组Alamouti非线性预编码系统

针对Alamouti空时块编码复用增益损失的问题,提出了两组Alamouti编码方案;在此基础上,为了改善系统的误码率（Bit Error Rate,BER）性能和简化接收端复杂度,提出将几何均值分解（Geometric Mean Decomposition,GMD）算法和非线性预编码技术相结合的两组Alamouti传输方案。本方案的设计方法为：首先等效出两组Alamouti空时块编码系统的信道矩阵;进而,通过GMD算法对等效信道矩阵进行收发端联合设计;最后,在发射端应用脏纸（Dirty Paper Coding,DPC）和Tomlinson-Harashima Precoding（THP）非线性预编码技术,消除发送信号间的干扰,从而使系统获得更好的误码率性能。通过仿真结果对比发现,提出的系统可以显著地改善误码率性能。     

仿射投影算法收敛特性随机统计特性的研究

仿射投影算法利用多个输入向量估计自适应滤波器的迭代方向,获得了比较快的收敛速度。在不考虑系统测量噪声的条件下,参数迭代步长等于1,仿射投影算法获得了最快的收敛速度。在此条件下,研究了仿射投影算法收敛性的随机统计特性,分析了仿射投影算法权值误差和权值均方误差的递归迭代方程,获得了仿射投影算法稳定状态的误差。