稀土永磁及磁记录材料的矫顽力与有效激活体积

指出了文献 [1]中的一个错误。给出了不同模型的稀土永磁材料以及磁记录材料的矫顽力 Hc和有效激活体积υ之间的正确关系 ,这样的关系被表示成一个复杂的函数关系 ,同时指出 ,对不同模型的稀土磁性材料 ,这个函数关系是不同的     

涟钢连铸优质钢的实践分析

本文介绍涟钢第一炼钢厂１号小方坯连铸机浇铸优质钢的生产实践，并探索连铸优质钢的途径。指出为保证质量，必须严格保证钢水质量，控制合适的浇铸温度，拉坯速度和冷却强度；钢水必须吹氩；采用大容量中间包和伸入式水口保护渣浇涛，确保连铸机的状况良好。     

工程结构动态特性智能优化设计研究

本文针对在传统结构优化设计中，优化过程复杂和费时的问题，采用神经网络的智能算法对结构进行动态优化设计，并给出了具体的设计方法。以门座起重机筒型支柱结构为例，应用此方法对其进行了动态优化设计计算，从而证明了该算法的有效性。     

Attitude control without angular velocity measurement: a passivityapproach

It is well known that the linear feedback of the quaternion of the attitude error and the angular velocity globally stabilizes the attitude of a rigid body. In this note, we show that the angular velocity feedback can be replaced by a nonlinear filter of the quaternion, thus removing the need for direct angular velocity measurement. In contrast to other approaches, this design exploits the inherent passivity of the system; a model-based observer reconstructing the velocity is not needed. An application of the proposed scheme is illustrated for the robot control problem. Simulation results are included to illustrate the theoretical results     

EXL能谱仪薄样品X线的定量分析

研究了Link公司能谱仪中RTS软件（薄膜定量分析软件）可靠性及适用性。实验结果表明：RTS软件定量分析结果误差较小。但对C、N、O等轻元素定量分析，试样厚度小于1500以下时，结果才比较可靠。     

一种基于社会网络的信任模型

社会网络是通过朋友关系、工作关系和信息交换等一组社会机制,将人、组织和其他社会团结联系在一起形成的网络,Web就是一种社会网络.在社会网络中要求有一种自然的机制对网络的真实性进行判断和评价,信任模型就是比较好的一种机制.基于社会网络,本文构建了一种网络信任模型,用来估算信任者和被信任者之间的信任等级,能够用于语义网的信任管理系统和社会网络的信任评价中.实验结果表明,该模型具有很好的效率和效果.     

On social computing research collaboration patterns: a social network perspective

The field of social computing emerged more than ten years ago. During the last decade, researchers from a variety of disciplines have been closely collaborating to boost the growth of social computing research. This paper aims at identifying key researchers and institutions, and examining the collaboration patterns in the field. We employ co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011. This paper gives a snapshot of the current research in social computing and can provide an initial guidance to new researchers in social computing.     

Multi-channel SAR imaging based on distributed compressive sensing

The rapid development of compressive sensing(CS)shows that it is possible to recover a sparse signal from very limited measurements.Synthetic aperture radar(SAR)imaging based on CS can reconstruct the target scene with a reduced number of collected samples by solving an optimization problem.For multi-channel SAR imaging based on CS,each channel requires sufficient samples for separate imaging and the total number of samples could still be large.We propose an imaging algorithm based on distributed compressive sensing(DCS)that reconstructs scenes jointly under multiple channels.Multi-channel SAR imaging based on DCS not only exploits the sparsity of the target scene,but also exploits the correlation among channels.It requires significantly fewer samples than multi-channel SAR imaging based on CS.If multiple channels offer different sampling rates,DCS joint processing can reconstruct target scenes with a much more flexible allocation of the number of measurements offered by each channel than that used in separate CS processing.