Temperature Regulation in Multicore Processors Using Adjustable-Gain Integral Controllers

This paper considers the problem of temperature regulation in multicore processors by dynamic voltage-frequency scaling. We propose a feedback law that is based on an integral controller with adjustable gain, designed for fast tracking convergence in the face of model uncertainties, time-varying plants, and tight computing-timing constraints. Moreover, unlike prior works we consider a nonlinear, time-varying plant model that trades off precision for simple and efficient on-line computations. Cycle-level, full system simulator implementation and evaluation illustrates fast and accurate tracking of given temperature reference values, and compares favorably with fixed-gain controllers.Comment: 8 pages, 6 figures, IEEE Conference on Control Applications 2015, Accepted Versio

WDM: A Web Document Model and its Supporting Web Document Analyzer

The ever-growing information on the web has meanwhile brought people a great difficulty in quickly and easily finding the exact information they need. A problem causing the difficulty is that the web information and resources are less internally structured. In this paper, we propose a concise metadata model as an intermediate model that can transfer various styles of web models or metadata models used to describe web resources to a more general-used framework. We also develop a platform to realize the modeling functions in the framework

Fourier transform profilometry using a binary area modulation technique

A recent study found that it is very difficult to use the squared binary defocusing technique to eliminate the influence of third-order harmonics without compromising fringe quality, and thus it is challenging to utilize Fourier transform profilometry to achieve high-quality three-dimensional measurement. A novel approach is presented to effectively eliminate the third-order harmonics by modulating the squared binary structured patterns. Both simulation and experiments are presented to verify the performance of the proposed technique

Genetic method to optimize binary dithering technique for high-quality fringe generation

The recently proposed dithering techniques could substantially improve measurement quality when fringes are wide, but offer limited improvement when fringes are narrow. This Letter presents a genetic algorithm to optimize the dithering technique for sinusoidal structured pattern representation. We believe both simulation and experimental results show that this proposed algorithm can substantially improve fringe quality for both narrow and wide fringe patterns