Tracking mobile users in wireless networks via semi-supervised colocalization

Recent years have witnessed the growing popularity of sensor and sensor-network technologies, supporting important practical applications. One of the fundamental issues is how to accurately locate a user with few labeled data in a wireless sensor network, where a major difficulty arises from the need to label large quantities of user location data, which in turn requires knowledge about the locations of signal transmitters or access points. To solve this problem, we have developed a novel machine learning-based approach that combines collaborative filtering with graph-based semi-supervised learning to learn both mobile users' locations and the locations of access points. Our framework exploits both labeled and unlabeled data from mobile devices and access points. In our two-phase solution, we first build a manifold-based model from a batch of labeled and unlabeled data in an offline training phase and then use a weighted k-nearest-neighbor method to localize a mobile client in an online localization phase. We extend the two-phase colocalization to an online and incremental model that can deal with labeled and unlabeled data that come sequentially and adapt to environmental changes. Finally, we embed an action model to the framework such that additional kinds of sensor signals can be utilized to further boost the performance of mobile tracking. Compared to other state-of-the-art systems, our framework has been shown to be more accurate while requiring less calibration effort in our experiments performed on three different testbeds.     

All-hexahedral mesh generation via inside-out advancing front based on harmonic fields

The generation of hexahedral meshes is an open problem that has undergone significant research. This paper deals with a novel inside-out advancing front method to generate unstructured all-hexahedral meshes for given volumes. Two orthogonal harmonic fields, principal and radial harmonic fields, are generated to guide the inside-out advancing front process based on a few user interactions. Starting from an initial hexahedral mesh inside the given volume, we advance the boundary quadrilateral mesh along the streamlines of radial field and construct layers of hexahedral elements. To ensure high quality and uniform size of the hexahedral mesh, quadrilateral elements are decomposed in such a way that no non-hexahedral element is produced. For complex volume with branch structures, we segment the complex volume into simple sub-volumes that are suitable for our method. Experimental results show that our method generates high quality all-hexahedral meshes for the given volumes.     

四川餐饮业信息化人才状况调查与分析

四川餐饮业发展迅猛,为了解餐饮企业信息化发展情况,尤其是餐饮业信息化人才状况,课题组对四川餐饮企业进行了信息化抽样调查。调查涵盖餐饮企业信息化实施总体情况,包括信息化水平、运用效果以及餐饮企业对信息化的认识,调查侧重于餐饮企业现有信息化人才结构状况和需求期待,并对调查数据进行了科学和客观分析,旨在为信息化人才标准和培养模式探索提供依据、奠定基础。     

Thermodynamic considerations of " solid state engines" based on thermoelastic martensitic transformations and the shape memory effect

Engine applications of the shape memory ("Marmem" ) effect associated with thermoelastic transformations are discussed. Such devices potentially enable the direct conversion of heat(i.e., solar energy or waste heat) into mechanical work. It is shown that efficiencies on the order of 20 pct may be expected and can be improved with alloys having certain transformation hysteresis loop characteristics. Formerly with the University of Illinois     

论文化借鉴对增强大学生英语学习动力的作用

许多大学生学习英语的动力局限于考试、升学、就业,实际上,除此以外,英语学习可以使大学生树立远大的理想,培养良好的道德,激发创造的潜能,只有这些才可以增强大学生学习英语的持久学习动力。英语里蕴藏的文化借鉴是增强英语学习动力的有效手段。     

基于小波分析方法的装备价格指数变化研究

针对传统时间序列方法对物价指数的非平稳现象适应性较差的问题,提出运用小波分析方法,将原始数据分解成不同频率段的平稳信号,进而采用传统方法进行处理,从而提高了预测精度,获得令人满意的效果。     

基于模糊神经网络的感应加热电源温度控制

通过对原有感应加热电源温度控制方法的分析，提出了一种适合于非线性系统基于模糊神经网络的温度控制方法，并介绍了该系统的组成及实现方法。     

Propulsive performance of a fish-like travelling wavy wall

Summary. A numerical simulation is performed to investigate the viscous flow over a smooth wavy wall undergoing transverse motion in the form of a streamwise travelling wave, which is similar to the backbone undulation of swimming fish. The objective of this study is to elucidate hydrodynamic features of the flow structure over the travelling wavy wall and to get physical insights to the understanding of fish-like swimming mechanisms in terms of drag reduction and optimal propulsive efficiency. The effect of phase speed, amplitude and Reynolds number on the flow structure over the wavy wall, the drag force acting on the wall, and the power consumption required for the propulsive motion of the wall is investigated. The phase speed and the amplitude, which are two important parameters in this problem, predicted based on the optimal propulsive efficiency agree well with the available data obtained for the wave-like swimming motion of live fish in nature.     

宇宙主胁量限定粒子质量、微观临界尺寸和真空光速（胁量力学初导IV）

扩展到任意质量体的宇宙主胁量描述。宇宙主胁量同质量之间只差一个常量系数。宇宙主胁量创造了粒子的质量，造就了粒子的微观临界尺寸，构筑了恒定而有限的真空光速。     

在Windows下使用五笔字型输入法常见问题及解决方法

讨论了98王码WB9801五笔字型输入法软件在Windows环境下使用时应注意的问题、出现异常现象的解决方法及使用技巧。