Static energy reduction techniques for microprocessor caches

Microprocessor performance has been improved by increasing the capacity of on-chip caches. However, the performance gain comes at the price of static energy consumption due to subthreshold leakage current in cache memory arrays. This paper compares three techniques for reducing static energy consumption in on-chip level-1 and level-2 caches. One technique employs low-leakage transistors in the memory cell. Another technique, power supply switching, can be used to turn off memory cells and discard their contents. A third alternative is dynamic threshold modulation, which places memory cells in a standby state that preserves cell contents. In our experiments, we explore the energy and performance tradeoffs of these techniques. We also investigate the sensitivity of microprocessor performance and energy consumption to additional cache latency caused by leakage-reduction techniques.     

Connectionist simulation of quantification skills

The study of numerical abilities, and how they are acquired, is being used to explore the continuity between ontogenesis and environmental learning. One technique that proves useful in this exploration is the artificial simulation of numerical abilities with neural networks, using different learning paradigms to explore development. A neural network simulation of subitization, sometimes referred to as visual enumeration, and of counting, a recurrent operation, has been developed using the so-called multi-net architecture. Our numerical ability simulations use two or more neural networks combining supervised and unsupervised learning techniques to model subitization and counting. Subitization has been simulated using networks employing unsupervised self-organizing learning, the results of which agree with infant subitization experiments and are comparable with supervised neural network simulations of subitization reported in the literature. Counting has been simulated using a multi-net system of supervised static and recurrent backpropagation networks that learn their individual tasks within an unsupervised, competitive framework. The developmental profile of the counting simulation shows similarities to that of children learning to count and demonstrates how neural networks can learn how to be combined together in a process modelling development.     

Role of carrier material in encapsulation of yeast (Saccharomyces cerevisiae) by spray drying

ABSTRACT

Yeast was encapsulated using different carrier materials and their combinations to explore the possible synergistic effect of carrier material during encapsulation using spray drying. Freeze-drying was performed for comparison. The dried cell powders were analyzed for the quality aspects (morphology, flowability, and storage stability). The best results were observed, with a combination of whey protein and corn starch (cell survival: 82.37% and yield: 56%, w/w) with a shelf life of 6 months (with only 10% reduction in cell survival). The survival was found to be 40% without any carrier material, which decreased to less than 25% within 4 weeks.     

Ink‐jet printing: The route to production of full‐color P‐OLED displays

Abstract— Ink‐jet‐printing technology for displays has been making rapid progress and is now nearing production. This paper will go through the developments that have been carried out at CDT, Ltd., to achieve this status. The ink‐jet head and machine development that underpin the capability of the RGB printing process to manufacture P‐OLEDs at high speed with high reliability and with the film‐forming properties to achieve the appropriate device performance will be described. The important contribution made by the availability of flexible metrological tools will be discussed.     

A generic method for determining up/down orientation of text in roman and non-roman scripts

This paper presents a method for determining the up/down orientation of text in a scanned document of unknown orientation, so that it can be appropriately rotated and processed by an optical character recognition (OCR) engine. The method analyzes the “open” portions of text blobs to determine the direction in which the open portions face. By determining the respective densities of blobs opening in a pair of opposite directions (e.g., right or left), the method can establish the direction in which the text as a whole is oriented. We first describe a method for determining the up/down orientation of roman text based on the asymmetry in the openness of most roman letters in the horizontal direction. For non-roman text such as Pashto and Hebrew, we provide a method that determines a direction that is the most asymmetric, and therefore the most useful for the determination of text orientation, given a training data set of documents of known orientation. This work can be adapted for use in automated mail processing or to determine the orientation of checks in automated teller machine envelopes, scanned or copied documents, documents sent via facsimile, and digital photographs that include text (e.g., road signs, business cards, driver's licenses), among other applications.     

Optimization of binary thermodynamic and phase diagram data

An optimization technique based upon least squares regression is presented to permit the simultaneous analysis of diverse experimental binary thermodynamic and phase diagram data. Coefficients of polynomial expansions for the enthalpy and excess entropy of binary solutions are obtained which can subsequently be used to calculate the thermodynamic properties or the phase diagram. In an interactive computer-assisted analysis employing this technique, one can critically analyze a large number of diverse data in a binary system rapidly, in a manner which is fully self-consistent thermodynamically. Examples of applications to the Bi-Zn, Cd-Pb, PbCl₂-KCl, LiCl-FeCl₂, and Au-Ni binary systems are given.