A vectorial boundary element method analysis of integrated optical waveguides

In this paper, a new vectorial boundary element method is introduced and applied to the modal analysis of dielectric waveguides with piecewise homogeneous refractive indexes. The procedure, which is free of spurious modes, determines the full field distribution from the longitudinal fields at the refractive index boundaries. Singular kernels are evaluated through series solutions while the electric field discontinuity at corners is accommodated through either a grid refinement technique or a semianalytic approach. Our formalism generates propagation constants and modal field distributions for several representative refractive index profiles with far higher accuracy than standard finite-difference or finite-element procedures.     

Periodic surface modeling for computer aided nano design

Current solid and surface modeling methods based on Euclidean geometry in traditional computer aided design are not efficient in constructing a large number of atoms and particles. In this paper, we propose a periodic surface model for computer aided nano design such that geometry of atoms and molecules can be constructed parametrically. At the molecular scale, periodicity of the model allows thousands of particles to be built efficiently. At the meso scale, inherent porosity of the model represents natural morphology of polymer and macromolecule. Surface and volume operations are defined to support crystal and molecular model creation with loci and foci periodic surfaces. The ultimate goal is to enable computer assisted material and system design at atomic, molecular, and meso scales.     

首钢2号高炉的技术进步

介绍首钢2号高炉大修采用的新技术、开炉操作和投产以来的生产情况。     

管内覆丝网强化对流换热及阻力特性的实验研究

通过实验对管内覆丝网管进行了强迫对流换热和阻力特性研究。结果表明：管内覆丝网使换热明显增强，阻力也相应增长。菱形丝网对角线距离与平行边距离之比对换热效果有决定作用，丝网厚度对换热的影响比较小，而丝网网格的大小对换热几乎没有影响，在相同的泵功率和几何条件下，换热系数最大增加２１％。     

平均不等式有趣应用几例

介绍了平均不等式在数学证明中的几例有趣应用。     

GaAs FET辐射退化研究

低噪声ＧａＡｓ ＦＥＴ和功率ＧａＡｓ ＦＥＴ经中子辐射都未发生致命性的通或断失效，直流偏置伏态下，其失效模式仅仅表现为源漏饱和电流ＩＤＳＳ的退化降低，据此提出了ＩＤＳＳ退化失效与快中子注量φｎ之间的解析关键式ｌｎｙ＝ａ＋ｂｌｎφ。     

Efficient Skyline and Top-k Retrieval in Subspaces

Skyline and top-k queries are two popular operations for preference retrieval. In practice, applications that require these operations usually provide numerous candidate attributes, whereas, depending on their interests, users may issue queries regarding different subsets of the dimensions. The existing algorithms are inadequate for subspace skyline/top-k search because they have at least one of the following defects: 1) they require scanning the entire database at least once, 2) they are optimized for one subspace but incur significant overhead for other subspaces, or 3) they demand expensive maintenance cost or space consumption. In this paper, we propose a technique SUBSKY, which settles both types of queries by using purely relational technologies. The core of SUBSKY is a transformation that converts multidimensional data to one-dimensional (1D) values. These values are indexed by a simple B-tree, which allows us to answer subspace queries by accessing a fraction of the database. SUBSKY entails low maintenance overhead, which equals the cost of updating a traditional B-tree. Extensive experiments with real data confirm that our technique outperforms alternative solutions significantly in both efficiency and scalability.