新型节能点阵智能控制系统

以AT89C52单片机为主控芯片,将LED点阵、门禁系统和语音系统结合在一起组成一个智能点阵控制系统,该系统能够实现在人体靠近感应系统时门自动打开,同时播放迎宾致辞,并利用后台时间控制整个系统的工作时间的功能.该系统有效地解决了点阵长期工作造成寿命短、能源损耗大和功能单一等缺点,具有很好的应用前景.     

Genocchi多项式的傅立叶展开和积分表示

利用Lipschitz求和公式,通过分析的方法和级数变换技巧,得到了Genocchi多项式的傅立叶展开式,并由此得到了它的积分表示,我们也给出了Genocchi多项式的一些新的应用和有趣的结果。     

一种适合于迭代求复数根的抛物牛顿法

提出了一种适合于迭代求复数根的抛物牛顿法,并进行了收敛性分析,给出了若干数值实例.该方法与切线牛顿法共同构架了复数域上求非线性代数方程近似解的基本方法,在切线牛顿法失效时它可替代使用.其收敛的阶为3,高于切线牛顿法的收敛阶2.特别地,对于实多项式可迭代求出全部的实根和复根.与已有的抛物迭代法相比较,该方法是单步而非多步.     

有限域上线性q-相伴多项式及其应用

先探讨利用有限域上线性q-相伴多项式由低次不可约或本原多项式构造高次不可约多项式或本原多项式。其次证明多项式与其线性q-相伴多项式的整除关系等价,通过求次数低的多项式的最大公因式,给出他们的线性q-相伴多项式的最大公因式,比直接求高次数的线性q-相伴多项式的最大公因式大大减少了计算量。     

Simulation of wind gust structure in the atmospheric boundary layer with Lattice Boltzmann Method

Cold fronts occur in northern East Asia during winter and spring.After cold frontal passage,airflow is downward and accompa-nying strong winds fluctuate significantly;this is termed wind gusts.Analysis of observation data shows that wind gust structure has coherent characteristics.This is important for entrainment of spring dust storms into the upper boundary layer,where they are transported great distances.The Lattice Boltzmann Method(LBM) is a computational fluid technique based on the Boltzmann transport equation.The LBM has been used to study complex motion such as turbulence,because it describes motion at the micro level.In this paper,Large eddy simulation is introduced in the LBM,enabling simulation of turbulent flow in the atmospheric boundary layer.The formation and development of wind gusts are simulated,and a coherent structure with a combination of wave and vortex is obtained.This explains the mechanism of soil erosion and sand entrainment by the coherent structure of wind gusts.     

Down-conversion characteristics of Eu3+ doped M2Y2Si2O9 (M = Ba,Ca, Mg and Sr) nanomaterials for innovative solar panels

Down-conversion properties of Eu³⁺ doped M₂Y₂Si₂O₉ (M = Ba, Ca, Mg, Sr) phosphors have been investigated in detail. These phosphors were synthesized via the simple, fast and cost-effective sol-gel technique at a temperature of 950 °C. Color coordinates and emission color can be altered by the varying concentration of dopant ion in Ca₂Y₂Si₂O₉ phosphor. Optimum luminescence intensity was obtained when doping 0.03 mol of Eu³⁺ ion. Using the excitation wavelength of 395 nm, these silicates showed strong red color, pure and sharp spectral peaks in visible region due to ⁵D₀→⁷F_1-3 transitions of Eu³⁺ present in the lattice. Effect of reaction temperature on luminescence was also analyzed for these phosphors. The sharp peaks in the X-ray diffraction pattern indicated the high crystallinity of prepared phosphors. Ca₂Y₂Si₂O₉ has shown an orthorhombic crystal structure. The FTIR results confirmed the metal-oxygen vibrational modes available in the range of 400–1600 cm^?1. Transmission electron microscopy images have revealed that the variation of alkaline earth metal provided a very different crystal structure. Excellent down conversion response of these phosphor materials can provide a great significance in the application of the coming solar devices.     

断圈定理的一个应用

利用断圈定理得到了（ｒ，ｓ，ｔ）－图的色多项式一次项系数的绝对值的计算公式。     

An efficient method of N-D FIR digital filter designs and implementation

An efficient method of N-D FIR digital filter designs and implementation is presented in the paper. The most interesting aspects of the work in the paper are divided into three parts: First, an efficient transformation functions which have good properties are proposed. Second, the essential properties for spherically or hyperspherically symmetric filters are given. Finally, the most efficient implementation which exploits the structure inherent in the design is discussed. Supported by the National Natural Science Foundation of China Li Jixing: born in Jan. 1945, Associate Professor     

Forecasting non-normal time series

We look at the problem of forecasting time series which are not normally distributed. An overall approach is suggested which works both on simulated data and on real data sets. The idea is intuitively attractive and has the considerable advantage that it can readily be understood by non-specialists. Our approach is based on ARMA methodology and our models are estimated via a likelihood procedure which takes into account the non-normality of the data. We examine in some detail the circumstances in which taking explicit account of the nonnormality improves the forecasting process in a significant way. Results from several simulated and real series are included.     

On lattice consensus methods

We investigate the consensus problem for classifications of three types: partitions, dendrograms, and n-trees For partitions or dendrograms, lattice polynomials define natural consensus functions We extend these lattice methods to n-trees, introducing a general class of consensus functions that includes the intersection consensus functions in current use These lattice consensus methods have a number of desirable mathematical properties We prove that they all satisfy the Pareto Axiom For each of the three classification types, we determine which lattice consensus functions satisfy the Betweenness AxiomAuthor partially supported by a research grant from the Faculty Research Committee, Bowling State University