Magnetic properties of high-temperature superconductors: Analysis within the framework of the impurity mechanism

The impurity mechanism proposed earlier is used to interpret the magnetic properties of hightemperature superconductors. The appearance of superconductive granules and the existence of weak bonds in grains of ceramics and in single crystals is explained. The irreversibility line is obtained and its new interpretation as the line of thresholds of appearance of infinite nonsuperconductive cluster is given. The relaxation time of the magnetic susceptibility in alternating magnetic fields is calculated. The decrease of the Meissner fraction with increase in magnetic field and decrease in doping, and other magnetic properties are explained.     

PIRF-Nav 2.0: Fast and online incremental appearance-based loop-closure detection in an indoor environment

This paper presents a fast and online incremental solution for an appearance-based loop-closure detection problem in a dynamic indoor environment. Closing the loop in a dynamic environment has been an important topic in robotics for decades. Recently, PIRF-Nav has been reported as being successful in achieving high recall rate at precision 1. However, PIRF-Nav has three main disadvantages: (i) the computational expense of PIRF-Nav is beyond real-time, (ii) it utilizes a large amount of memory in the redundant process of keeping signatures of places, and (iii) it is ill-suited to an indoor environment. These factors hinder the use of PIRF-Nav in a general environment for long-term, high-speed mobile robotic applications. Therefore, this paper proposes two techniques: (i) new modified PIRF extraction that makes the system more suitable for an indoor environment and (ii) new dictionary management that can eliminate redundant searching and conserve memory consumption. The results show that our proposed method can complete tasks up to 12 times faster than PIRF-Nav with only a slight percentage decline in recall. In addition, we collected additional data from a university canteen crowded during lunch time. Even in this crowded indoor environment, our proposed method has better real-time processing performance compared with other methods.     

Adiabatic shear failure in brittle solids

Recent studies have revealed microscopic amorphous lamella resulting from inelastic deformation in the ballistic impact of boron carbide ceramic. The possibility that these deformation features are a consequence of adiabatic shear deformation in the impact event is explored. An early theory of adiabatic shear that was limited to the response of rigid-plastic deformation is expanded to include elastic strain energy. The study reveals that elastic strain energy is commonly a small, but not negligible, contribution to impact-induced adiabatic shear in metals. Elastic strain energy is paramount in brittle solids. Relations are developed from the theory to predict the nominal width and spacing of adiabatic shear-bands in brittle solids. Comparisons of the theoretical predictions are consistent with observations of impact-induced deformation features in boron carbide.     

无线传感器网络节点定位技术综述

无线传感器网络在许多领域有着重要的科研和使用价值,网络中传感器节点自身定位可为无线传感器网络的很多应用提供基础信息,是重要研究方向之一.从无线传感器网络节点定位技术的研究意义与应用价值出发,介绍了节点定位技术的基本原理与方法,并讨论了定位算法的评价标准,最后对节点定位技术的发展方向进行了展望.     

Mode‐SVD‐Based Maximum Likelihood Source Localization Using Subspace Approach

A mode‐singular‐value‐decomposition (SVD) maximum likelihood (ML) estimation procedure is proposed for the source localization problem under an additive measurement error model. In a practical situation, the noise variance is usually unknown. In this paper, we propose an algorithm that does not require the noise covariance matrix as a priori knowledge. In the proposed method, the weight is derived by the inverse of the noise magnitude square in the ML criterion. The performance of the proposed method outperforms that of the existing methods and approximates the Taylor‐series ML and Cramér‐Rao lower bound.     

受限视觉下RoboCup3D中机器人的定位

针对RoboCup3D中机器人视觉模型的重大改变,即由原来的完美视觉模型变为受限视觉模型,在综合完美视觉下机器人的定位方法,即陀螺仪定位、1个标志杆定位,3个标志杆定位,提出一种受限视觉下机器人自身定位策略,并应用卡尔曼滤波器来提高定位的精度,在Rcssserver3D仿真环境中进行了定位数据的采样和对比,实验表明此定位方法具有很好的竞赛适应性与健壮性。     

基于CMMI模型的软件本地化测试

本地化测试是随着软件国际化发展起来的一种新型测试方式,结合软件本地化测试的特点,通过探讨CMMI模型在软件测试过程中的应用,提出一种基于CMMI模型软件本地化测试的过程模型,该模型对提高本地化测试水平以及缺陷管理有着重要的参考价值。     

一种彩色图像文本自动定位算法

图像中的文本包含了重要的语义信息。提出了一种基于连通区域分析的彩色图像文本自动定位算法。首先对彩色图像进行多通道分解,得到少量代表颜色下的二值图像。对二值图像进行连通区域标记,并计算连通区域的属性参数。然后根据关于连通区域属性的先验知识限制,去掉连通区域中的非文本区域,其他的作为候选文本区域。最后根据文本行的排列规律从候选文本区域中提取文本行。实验结果表明该方法能较快地定位文本区域,定位精度较高。     

CO2激光加热局域热固定LiNbO3光折变全息的温度影响

利用 CO2 激光加热铌酸锂 ( L i Nb O3)光折变晶体可局域固定体全息 ,但形成的温度场空间上是不均匀的。在对固定显影后空间电荷场幅度 Esc 与固定温度 Tf 的关系进行理论分析的基础上 ,通过定义局域性系数和平均空间电荷场幅度两个判据 ,来评价不同的激光加热温度场的固定效果。这种方法也适用于对其他各类边界条件的 CO2 激光加热温度场局域热固定进行分析。     

Low-cost sound-based localization using programmable mixed-signal systems-on-chip

There have been extensive theoretical studies on sound-based localization using both, a pair of microphones and microphone arrays. In contrast, there has been much less work on implementing and experimenting sound-based localization realized as customized electronic designs. This paper presents a low-cost implementation of the sound-based localization method proposed in Halupka et al. [11]. A new method called wave counting is proposed in this paper, as an alternative to the Maximum Likelihood procedure used in [11]. The implementation uses PSoC programmable mixed-signal embedded system-on-chip, which incorporates microcontroller, on-chip SRAM and flash memory, programmable digital blocks, and programmable analog blocks, all integrated on the same chip. The paper presents an extensive set of experiments to characterize the quality of localization using the proposed low-cost design.