Efficient combination rule of Dezert-Smarandache theory

The Dezert-Smarandache theory （DSmT） is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidence. Therefore, it has been successfully applied in data fusion and object recognition. However, there exist shortcomings in its combination rule. An efficient combination rule is presented, that is, the evidence＇s conflicting probability is distributed to every proposition based on remaining the focal elements of conflict. Experiments show that the new combination rule improves the reliability and rationality of the combination results. Although evidences conflict another one highly, good combination results are also obtained.     

Research on consistency measurement and weight estimation approach of hybrid uncertain comparison matrix

The consistency measurement and weight estimation approach of the hybrid uncertain comparison matrix in the analytic hierarchy process （AHP） are studied. First, the decision-making satisfaction membership function is defined based on the decision making＇s allowable error. Then, the weight model based on the maximal satisfactory consistency idea is suggested, and the consistency index is put forward. Moreover, the weight distributing value model is developed to solve the decision making misleading problem since the multioptimization solutions in the former model. Finally, the weights are ranked based on the possibility degree approach to obtain the ultimate order.     

Periodic performance of the chaotic spreadspectrum sequence on finite precision

It is well known that the periodic performance of spread spectrum sequence heavily affects the correlative and secure characteristics of communication systems. The chaotic binary sequence is paid more and more attention since it is one kind of applicable spread spectrum sequences. However, there are unavoidable short cyclic problems for chaotic binary sequences in finite precision. The chaotic binary sequence generating methods are studied first. Then the short cyclic behavior of the chaotic sequences is analyzed in detail, which are generated by quantification approaches with finite word-length. At the same time, a chaotic similar function is defined for presenting the cyclic characteristics of the sequences. Based on these efforts, an improved method with scrambling control for generating chaotic binary sequences is proposed. To quantitatively describe the improvement of periodic performance of the sequences, an orthogonal estimator is also defined. Some simulating results are provided. From the theoretical deduction and the experimental results, it is concluded that the proposed method can effectively increase the period and raise the complexity of the chaotic sequences to some extent.     

Analysis for MIMO correlated frequency-selective channel in the presence of interference

The space time spreading, superimposed training sequences, and space-time coding are used to present a multiple input and multiple output （MIMO） systems model, and a closed-form of average error probability upper bound expression for MIMO correlated frequency-selective channel in the presence of interference （co-channel interference and jamming signals） is derived. Moreover, the correlation at both ends of the wireless link that can be incorporated equivalently into correlation at the transmit end is also derived, which is significant to analyze space-time link algorithm of MIMO systems.     

Singularly perturbed bifurcation subsystem and its application in power systems

The singularly perturbed bifurcation subsystem is described, and the test conditions of subsystem persistence are deduced. By use of fast and slow reduced subsystem model, the result does not require performing nonlinear transformation. Moreover, it is shown and proved that the persistence of the periodic orbits for Hopf bifurcation in the reduced model through center manifold. Van der Pol oscillator circuit is given to illustrate the persistence of bifurcation subsystems with the full dynamic system.     

Indirect adaptive fuzzy control for a class of nonlinear discrete-time systems

An indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. In this method, two fuzzy logic systems are used to approximate the unknown functions, and the parameters of membership functions in fuzzy logic systems are adjusted according to adaptive laws for the purpose of controlling the plant to track a reference trajectory. It is proved that the scheme can not only guarantee the boundedness of the input and output of the closed-loop system, but also make the tracking error converge to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.     

欧洲落叶松,美洲落叶松生长与气象因子关系的研究

应用灰色系统理论中的关联分析方法,分析并指出了影响欧洲落叶松（Ｌａｒｉｘ ｄｅｃｉｄｕａ）、美洲落叶松（Ｌａｒｉｘｌａｒｉｃｉｎａ）生长的气象因子大小顺序依次为：４０ｃｍ地温、降水量、相对湿度、最低气温、２０ｃｍ地温、水气压、１５ｃｍ地温、最低地面温度、１０ｃｍ地温、５ｃｍ地温、最高气温、最低本地气压、平均本地气压、平均地面温度、最高本地气压、风速、最高地面温度、蒸发量、平均气温;绘制了欧洲落叶松     

中国海洋文化发展迟缓缘由析

针对否定中国海洋文化的错误观点 ,阐述中国海洋文化的内涵、外延 ,用史实论证中国自古就有海洋文化 ,曾几度位居世界前列 ;针对海洋文化建设成为当今世界热点 ,开发、利用海洋成为新世纪国际竞争制高点 ,分析中国海洋文化建设于近代滞后的缘由 ,探索海洋文化建设之途     

负载型固体酸催化合成乙酸乙酯

制备了负载型催化剂TZ－1,利用其催化乙醇和乙醇的酯化反应考察了载体,活性组份等因素的影响,结果表明,在最佳反应条件下,催化率为98．5％,选择性可达100％,催化剂经9次重复使用,活性下降很小。     

脂肪酸中α—亚麻酸的高效液相色谱分析

采用高效液相色谱法对混合脂肪酸中α-亚麻酸的浓度含量进行了测定，并对实验方法的准确性进行了检验。