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.     

基于功耗和核温度信号的CPU芯片强制散热控制

基于传统单输入单输出系统的CPU芯片散热控制方法存在控制效果滞后、波动大、耗能高的问题,难适应未来多核高主频芯片的散热要求.引入芯片功耗非线性前馈和核温度跟踪以及表面温度反馈等措施,代替传统的核间温度比例跟踪控制策略.采用实测所得的温度和功耗数据,就传统方法和新方法的控制效果进行了数值计算的仿真和分析.结果验证:相比于传统方法,功耗前馈和多温度PID结合的CPU芯片散热控制策略不仅散热效果更好、耗电较少,而且具有参数可变、适应性强的优点,具有正确性和可行性.     

TURBULENCE TRANSPORT OF SURFACTANT SOLUTION FLOW DURING DRAG REDUCTION DEGENERATION

Turbulence transport of surfactant solution flow during drag reduction degeneration is investigated experimentally in a two-dimensional channel.Particle Image Velocimetry (P1V) system is used to take t...     

Design of a modified repetitive-control system based on a continuous–discrete 2D model

This paper concerns the problem of designing a modified repetitive-control system for a class of strictly proper plants. Repetitive control involves two types of actions: control and learning; but the insertion of a low-pass filter in a modified repetitive controller, which is employed to guarantee the stability of the system, mixes the two actions together. In this paper, a continuous–discrete two-dimensional model is first constructed. Next, the continuity of repetitive control and Lyapunov stability theory are applied to the model to establish two linear-matrix-inequality (LMI) based sufficient stability conditions, one for the design of the cutoff angular frequency and one for the design of the feedback gains. The features of these conditions are exploited to develop an iterative algorithm that searches for the best combination of the maximum cutoff angular frequency of the low-pass filter and the feedback gains. A numerical example illustrates the design procedure and demonstrates the validity of the method.     

“以赛促能”实践教学模式的分析研究

提出了将学科竞赛融入“以赛促能”的实践教学模式,对该模式的特点进行了分析总结.该模式具有综合性、协作性、过程性、独立性、创新性和竞争性等特点,能够提高学生综合运用多种知识的能力、团队协作能力、实践动手能力、独立学习能力、创新思维能力,提高学生的心理素质,对提高教师水平、促进教学改革、形成优良学风也有积极作用.     

基于结构继承的贝叶斯网结构学习优化设计

采用遗传算法建立贝叶斯网络的优化学习结构,一直是贝叶斯网络研究倍受关注的课题.传统遗传算法的个体设计存在需要反复进行无环性检验的问题,降低了进化效率.针对这个问题,提出一种新的个体编码方式.考虑到进化过程中家族得分的可继承性,提出基于家族继承的结构评分改进算法,进而设计相应的改进遗传算法.实验结果表明,改进算法在BN建网精度与效率上都得到明显提升.     

Preface

Recently, there has been a dramatic increase in research on data mining on social networks and social media. Theubiquitous nature of Web-enabled devices, including desktops,     

OSF:一种支持SaaS应用的构件框架

离线SaaS应用可以工作在时断时续的网络连接环境下,是一种环境可感知的智能SaaS软件.目前支持离线访问Web应用的研究成果较少,且其没有考虑到SaaS的特性,更没有形成构件化框架.为了解决上述问题,提出了离线SaaS框架OSF(Offline SaaS Framework),并给出了支持离线访问的面向操作的构件框架的结构和运行机制.通过案例描述验证了该构件框架的功能和性能.理论和实验表明,离线SaaS应用框架极大地改善了用户体验,保证了SaaS服务的可用性,扩大了SaaS的应用范围,同时还提高了系统开发效率.