生物驻极体极化弛豫特性的热刺激电流分析

采用热刺激电流的方法,以猪的肩胛骨为例,对生物体的驻极效应进行了研究,并由此对生物驻极体的极化弛豫特性作了分析．实验表明,复杂的有机生命体中存在着显著的电荷储存效应,产生这一效应的基本原因在于生物体胶原纤维和基质细胞中的结合水及生物体内少量可动载流子,从单一频率弛豫进行计算所得的ＴＳＤＣ谱图与测量结果基本一致,说明其弛豫过程主要对应于单一频率的水分子的极化弛豫．     

无机物的颜色与电子光谱的关系

对无机物的颜色与电子光谱之间的关系进行了探讨，并在此基础上研究分析了无机物显色机理。     

温度和酸碱度对黄精凝集素Ⅱ生物学活性与构象的影响研究

采用圆二色谱和荧光光谱，研究了黄精凝集素Ⅱ(PCLⅡ)在不同温度及不同pH值时，其活性和分子构象变化的关系，结果表明：PCLⅡ具有较强的温度和酸碱度的耐受性，但在80℃，pH2，PH4和pH12时，其分子构象发生较大变化，活性也明显减弱．     

高振动激发态的C_6H_6与N_2、O_2碰撞传能的QCT计算

准经典轨线法 (QCT)是目前理论上研究高振动激发态大分子碰撞传能的常用方法之一 ,本文用QCT方法计算了高振动激发态的C6H6 与N2 、O2 的碰撞传能 通过计算发现 ,与N2 、O2碰撞时 ,C6H6 的每次碰撞平均振动失能值与实验结果符合较好 计算结果表明 ,高振动激发态的C6H6 失去的振动能传到了N2 、O2 的振动自由度上 ,即V V传能 通过分析每一条轨线 ,发现了直接碰撞、络合碰撞及颤动碰撞三种碰撞类型 ,这与文献计算是完全一致的     

Super-resolution processing of passive millimeter-wave images based on adaptive projected Landweber algorithm

Passive millimeter wave （PMMW） images inherently have the problem of poor resolution owing to limited aperture dimension. Thus, efficient post-processing is necessary to achieve resolution improvement. An adaptive projected Landweber （APL） super-resolution algorithm using a spectral correction procedure, which attempts to combine the strong points of all of the projected Landweber （PL） iteration and the adaptive relaxation parameter adjustment and the spectral correction method, is proposed. In the algorithm, the PL iterations are implemented as the main image restoration scheme and a spectral correction method is included in which the calculated spectrum within the passband is replaced by the known low frequency component. Then, the algorithm updates the relaxation parameter adaptively at each iteration. A qualitative evaluation of this algorithm is performed with simulated data as well as actual radiometer image captured by 91.5 GHz mechanically scanned radiometer. From experiments, it is found that the super-resolution algorithm obtains better results and enhances the resolution and has lower mean square error （MSE）. These constraints and adaptive character and spectral correction procedures speed up the convergence of the Landweber algorithm and reduce the ringing effects that are caused by regularizing the image restoration problem.     

Research on ambiguity resolution aided with triple difference

The ambiguity resolution in the field of GPS is investigated in detail. A new algorithm to resolve the ambiguity is proposed. The algorithm first obtains the floating resolution of the ambiguity aided with triple difference measurement. Decorrelation of searching space is done by reducing the ambiguity covariance matrix＇s dimension to overcome the possible sick factorization of the matrix brought by Z-transformation. In simulation, the proposed algorithm is compared with least-squares ambiguity decorrelation adjustment （LAMBDA）. The result shows that the proposed algorithm is better than LAMBDA because of lesser resolving time, which approximately reduces 20% resolving time. Thus, the proposed algorithm adapts to the high dynamic real-time applications.     

Robust reliable guaranteed cost control for nonlinear singular stochastic systems with time delay

To study the design problem of robust reliable guaranteed cost controller for nonlinear singular stochastic systems, the Takagi-Sugeno （T-S） fuzzy model is used to represent a nonlinear singular stochastic system with norm-bounded parameter uncertainties and time delay. Based on the linear matrix inequality （LMI） techniques and stability theory of stochastic differential equations, a stochastic Lyapunov function method is adopted to design a state feedback fuzzy controller. The resulting closed-loop fuzzy system is robustly reliable stochastically stable, and the corresponding quadratic cost function is guaranteed to be no more than a certain upper bound for all admissible uncertainties, as well as different actuator fault cases. A sufficient condition of existence and design method of robust reliable guaranteed cost controller is presented. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.     

System of developing scale modeling and simulation for URAV

The unmanned reconnaissance aerial vehicle （URAV） plays an important role in battlefield monitoring and information acquiring because of its advantage of zero casualties, and has thus attracted considerable attention of the world. The URAV was developed rapidly in our country, however, no scientific assessment methods have yet been provided owing to different fight requirements of armed forces. Considering the demand of the missile artillery on the martial information, the model of information requirement of combat force, the reconnaissance ability of URAV, the survivability of URAV, and the task reliability of URAV were constructed, respectively. By synthesizing the mathematic models above, the model of developing demand was constructed on the URAV equipment. It simulated and calculated some URAV equipment developing scales, and explored a way of settling the problem of URAV equipment developing demand.     

Stability condition of FAST TCP in high speed network on the basis of control theory

Considering the instability of data transferred existing in high speed network, a new method is proposed for improving the stability using control theory. Under this method, the mathematical model of such a network is established. Stability condition is derived from the mathematical model. Several simulation experiments are performed. The results show that the method can increase the stability of data transferred in terms of the congestion window, queue size, and sending rate of the source.     

模拟夹层的大变形有限元等厚节理单元模型

利用大变形有限元基本理论,提出了模拟夹层的大变形有限元等厚节理单元模型,并推导了其相关的大变形有限元计算公式,解决了夹层的大变形有限元模拟计算问题.