薄层扫描法测定冬眠过程中刺猬活性组织酶的周期变化

薄层扫描法测定冬眠过程中刺猬活性组织酶的周期变化冯金城（天津师范大学天津３０００７４）孙金生（天津水产研究所天津３００２２１）１前言为了跟踪观察刺猬在冬眠过程中体内乳酸脱氢酶的周期性变化，利用薄层扫描仪测定了其相关的组织同工酶的差异。实践证明，此法简...     

薄层扫描法测定冬眠过程中刺猬活性组织酶的周期变化

 In this paper,the determination of periodic change in the hedgehog active tissue ferment by TLC is de-scribed.The results showed that the total LDH activity and the number of LDH isozyme patterns decreasedin the BAT and other tissues of the winter hypothermic hedgehog,and increased after hibernation.     

Memory-augmented adaptive flocking control for multi-agent systems subject to uncertain external disturbances

This paper presents a novel flocking algorithm based on a memory-enhanced disturbance observer.To compensate for external disturbances,a filtered regressor for the double integrator model subject to external disturbances is designed to extract the disturbance information.With the filtered regressor method,the algorithm has the advantage of eliminating the need for acceleration information,thus reducing the sensor requirements in applications.Using the information obtained from the filtered regressor,a batch of stored data is used to design an adaptive disturbance observer,ensuring that the estimated values of the parameters of the disturbance system equation and the initial value converge to their actual values.The result is that the flocking algorithm can compensate for external disturbances and drive agents to achieve the desired collective behavior,including virtual leader tracking,inter-distance keeping,and collision avoidance.Numerical simulations verify the effectiveness of the algorithm proposed in the present study.     

Distance-based formation tracking control of multi-agent systems with double-integrator dynamics

This paper addresses the distance-based formation tracking problem for a double-integrator modeled multi-agent system(MAS) in the presence of a moving leader in d-dimensional space. Under the assumption that the state of leader can be obtained over fixed graphs, a distributed distance-based control protocol is designed for each double-integrator follower agent. The protocol consists of three terms: a gradient function term, a velocity consensus term, and a leader tracking term.Different shape stabilizing functions proposed in the literature can be applied to the gradient function term. The proposed controller allows all agents to both achieve the desired shape and reach the same velocity with moving leader by controlling the distances and velocity. Finally, we analyze the local asymptotic stability of the equilibrium set with center manifold theory. We validate the effectiveness of our approach through two examples.     

基于混沌神经网络的单向Hash函数

提出了一种基于混沌神经网络的单向Hash函数，该方法通过使用以混沌分段线性函数作为输出函数的神经网络和基于时空混沌的密钥生成函数实现明文和密钥信息的混淆和扩散，并基于密码块连接模式实现对任意长度的明文序列产生128位的Hash值.理论分析和实验结果表明，提出的Hash函数可满足所要求的单向性，初值和密钥敏感性，抗碰撞性和实时性等要求. 关键词： 混沌神经网络 Hash函数 分段线性混沌映射 时空混沌     

改进型单边EWMA指数控制图设计

现代制造过程中,某些产品的不合格率非常低,通常将这类过程称为高质量过程。由于高质量过程中相邻不合格产品之间的时间间隔服从指数分布,可以通过指数控制图实现对过程状态的监控。因此,本文提出一种改进型指数加权移动平均(Improved Exponentially Weighted Moving Average,IEWMA)指数控制图,并采用蒙特卡洛仿真获得控制图的平均运行链长(Average Run Length,ARL),仿真结果表明该控制图的性能优于传统单边EWMA指数控制图,尤其针对过程中产生较小偏移的情形具有较好的检测性能。