Structure and Magnetic Properties of LaCo_(13-X)M_X Intermetallic Compounds

ＳｔｒｕｃｔｕｒｅａｎｄＭａｇｎｅｔｉｃＰｒｏｐｅｒｔｉｅｓｏｆＬａＣｏ＿（１３－Ｘ）Ｍ＿ＸＩｎｔｅｒｍｅｔａｌｌｉｃＣｏｍｐｏｕｎｄｓＷＵＪｉａｎＭｉｎ；ＬＩＦｅｎｇ；ＴＡＩＬｉＣｈｉａｎｄＺＨＥＭＧＱｕｎＳｔｒｕｃｔｕｒｅａｎｄＭａｇｎｅｔｉｃＰ...     

关于布尔函数的二次逼近

本文首先利用矩阵形式引入了二阶ｗａｌｓｈ谱的概念并讨论了其性质，其次引入了二次ｂｅｎｔ函数的概念，同时论述了二次ｂｅｎｔ函数的密码学意义。     

准分子激光的应用

本文介绍了准分子激光器的基本类型、主要应用领域及其与材料相互作用的机理。对准分子激光在电子工业、生物医学和材料加工方面的一些重要应用做了比较详细的论述。     

CVD金刚石工具膜生长特征SEM观察

本文用不热形变栅状直丝化学气相沉积（ＣＶＤ）法生长金刚石膜，在Ｓｉ及ＷＣ－Ｃｏ硬质合金衬底上金刚石膜晶面显露规律随衬底温度和甲烷浓度而异，经适当表面处理及选择合适的工艺条件，当生长初期衬底上就呈现出良好晶形的沉积膜，衬底与膜之间的粘结力能得到提高。Ｒａｍａｎ谱分析表明此膜仅具有特征金刚石１３３２ｃｍ￣（－１）峰，通过ＳＥＭ观察揭示出盒刚石膜可在表面、侧面及棱上生长，并与衬底有良好的联结。     

New efficient designs for XOR and XNOR functions on the transistorlevel

Two new methods are proposed to implement the exclusive-OR and exclusive-NOR functions on the transistor level. The first method uses non-complementary signal inputs and the least number of transistors. The other one improves the performance of the prior method but two more transistors are utilized. Both of them have been fully simulated by HSPICE on a SUN SPARC 2 workstation     

热声热机系统振荡频率的理论计算与实验验证

以热声发动机为例采用网络模型计算了热声热机系统的振荡频率，得出振荡频率为复频率，其实部代表实际频率，虚部表示压力幅值的衰减程度。对热机系统在各种不同的情况下(包括不同大小的谐振腔、板叠间距、气体静压、系统长度)进行了数值计算，理论计算值与实验结果能很好的吻合。     

LXT384接口芯片的几种环回形式

LXT384是一个用于SONET/SDH设备的八进制T1/E1/J1线路接口单元芯片。文中简述了该芯片在实际应用中进行自检的若干种不同的环回形式(包括：模拟环回、数字环回、运程环回等)，直观地指出了各种环回形式的特点和区别。     

苯和甲苯差分吸收光谱方法的实验室测量研究

本文介绍了差分光学吸收光谱法(DOAS)测量大气污染气体浓度的基本原理。DOAS方法就是利用氙灯发出的紫外—可见光，经望远镜准直后再经过一段距离的传输，由望远镜来接收．在传输中，由于各种不同的分子在不同的波段对光有不同的吸收特征，使光谱具有了污染物的特征，再通过与光源发出的光进行比较，反演这些气体在大气中浓度．我们将DOAS方法应用在监测有机物上，在分析光谱的过程中，应用多项式拟合和最小二乘法，从而精确地从测量光谱中来反演出大气中污染气体的浓度．文中用DOAS方法测量了苯和甲苯的样品，并分析了结果，结果和理论吻合．可为环境中有机污染物监测提供可靠的方法。     

Apply geometric duality to energy-efficient non-local phenomenon awareness using sensor networks

A powerful concept to cope with resource limitations and information redundancy in wireless sensor networks is the use of collaboration groups to distill information within the network and suppress unnecessary activities. When the phenomena to be monitored have large geographical extents, it is not obvious how to define these collaboration groups. This article presents the application of geometric duality to form such groups for sensor selection and non-local phenomena tracking. Using a dual-space transformation, which maps a non-local phenomenon (e.g., the edge of a half-plane shadow) to a single point in the dual space and maps locations of distributed sensor nodes to a set of lines that partitions the dual space, one can turn off the majority of the sensors to achieve resource preservation without losing detection and tracking accuracy. Since the group so defined may consist of nodes that are far away in physical space, we propose a hierarchical architecture that uses a small number of computationally powerful nodes and a massive number of power constrained motes. By taking advantage of the continuity of physical phenomena and the duality principle, we can greatly reduce the power consumption in non-local phenomena tracking and extend the lifetime of the network.