low-level data (which are typically too voluminous to understand and digest easily) into other forms that might be more compact (for example, a short report), more abstract (for example, a descriptive approximation or model of the process that generated the data), or more useful (for example, a

to network dynamics and by considering application level performance. We present details of Narada and evaluate it using both simulation and Internet experiments. Our results indicate that the performance penalties are low both from the application and the network perspectives. We believe the potential

With increasing clock frequencies and silicon integration, power aware computing has become a critical concern in the design of embedded processors and systems-on-chip. One of the more effective and widely used methods for poweraware computing is dynamic voltage scaling (DVS). In order to obtain

that the mitochondrial gene, cytochrome c oxidase I (COI), can serve as the core of a global bioidentification system for animals. We show firstly that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analyzed taxa to the appropriate phylum or order. We

the importance of high socioeconomic status (SES) for achievement and low SES and residential instability for behavioral/emotional outcomes. The third section identifies 3 pathways (institutional resources, relationships, and norms/collective efficacy) through which neighborhoods might influence development

This dissertation examines low-level control of an automated public transit system known as Personal Rapid Transit (PRT). This system consists of a large network of small (automobile-sized), computer-controlled vehicles. It provides passengers with ondemand, non-stop travel similar to a taxi

BACKGROUND: A key question in the risk assessment of exposures to multiple chemicals is whether mixture effects may occur when chemicals are combined at low doses which individually do not induce observable effects. However, a systematic evaluation of experimental studies addressing this issue

Issues in the cognitive representation and control of action are broached from the perspective of action identification theory. This theory holds that any action can be identified in many ways, ranging from low-level identities that specify how the action is performed to high

. Providing type structure for extremely low-level programming languages, such as assembly language, yields a number of important benefits for compiler and systems projects, where reliability and security are crucial concerns. We discuss some of the issues involved in designing type systems for low-level

and anatomical rules that might underlie such computational properties; specifically, we focus our attention on low-level visual processing. In this context we consider optimal featureextractors and neuromorphic architectures for simple visual tasks. 1. Introduction The comprehension of a natural scene