Transistor gate length and threshold voltage variability due to process variations will greatly impact the stability, leakage power, and performance of future microprocessors. These variations are especially detrimental to continued scaling of 6T SRAM (6-transistor static memory) structures. This paper proposes replacing traditional SRAM-based cells in mutliported register files with cells base...

In a standard bifurcation of a dynamical system, the stationary points (or more generally attractors) change qualitatively when varying a control parameter. Here we describe a novel unusual effect, when the change of a parameter, e.g. a growth rate, does not influence the stationary states, but nevertheless leads to a qualitative change of dynamics. For instance, such a dynamic transition can b...

Variation is inevitable in any process, so it has to be dealt with effectively and economically. It has been the focal point of many researchers to control, predict or reduce the variation of a product to increase its competitiveness in the current global marketplace. Reducing variation can be achieved in assembly lines strategically and dynamically. It can be reduced strategically by developin...

Koperwas et al. showed in a recent paper [Phys. Rev. Lett. 111, 125701 (2013)] that the dynamic susceptibility χ4 as estimated by dielectric measurements for certain glass-forming liquids decreases substantially with increasing pressure along a curve of constant relaxation time. This observation is at odds with other measures of dynamics being invariant and seems to pose a problem for theories ...

For projects in knowledge-intensive domains, it is crucially important that knowledge management systems are able to track and infer workers’ up-to-date information needs so that task-relevant information can be delivered in a timely manner. To put a worker’s dynamic information needs into perspective, we propose a topic variation inspection model to facilitate the application of an implicit re...

A dynamic population variation (DPV) in genetic programming (GP) with four innovations is proposed for reducing computational effort and accelerating convergence during the run of GP. Firstly, we give a new stagnation phase definition and the characteristic measure for it. Secondly, we propose an exponential pivot function (EXP) in conjunction with the new stagnation phase definition. Thirdly, ...

BACKGROUND Insulin-on-board (IOB) estimation is used in modern insulin therapy with continuous subcutaneous insulin infusion (CSII) as well as different automatic glucose-regulating strategies (i.e., artificial pancreas products) to prevent insulin stacking that may lead to hypoglycemia. However, most of the IOB calculations are static IOB (sIOB): they are based only on approximated insulin dec...

Our goals were to quantify how non-embolisminducing pressure gradients influence trunk sapwood specific conductivity (ks) and to compare the impacts of constant and varying pressure gradients on ks with KCl and H20 as the perfusion solutions. We studied six woody species (three c~nifers and three angiosperms) which varied in pit membrane struc. ture, pit size and frequency of axial water transp...

When using dynamic simulation for fine tuning of the design of activated sludge (AS) plants diurnal variations of influent data are required. For this application usually only data from the design process and no measured data are available. In this paper a simple method to generate diurnal variations of wastewater flow and concentrations is described. The aim is to generate realistic influent d...

The performance of the MAX -MIN ant system (MMAS) in dynamic optimization problems (DOPs) is sensitive to the colony size. In particular, a large colony size may waste computational resources whereas a small colony size may restrict the searching capabilities of the algorithm. There is a trade off in the behaviour of the algorithm between the early and later stages of the optimization process. ...