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As CMOS scales beyond the 45nm technology node, leakage concerns are starting to limit microprocessor performance growth. To keep dynamic power constant across process generations, traditional MOSFET scaling theory prescribes reducing supply and threshold voltages in proportion to device dimensions, a practice that induces an exponential increase in(More)
—Face recognition applications for airport security and surveillance can benefit from the collaborative coupling of mobile and cloud computing as they become widely available today. This paper discusses our work with the design and implementation of face recognition applications using our mobile-cloudlet-cloud architecture named MOCHA and its initial(More)
The following decade will witness a surge in remote health-monitoring systems that are based on body-worn monitoring devices. These Medical Cyber Physical Systems (MCPS) will be capable of transmitting the acquired data to a private or public cloud for storage and processing. Machine learning algorithms running in the cloud and processing this data can(More)
Current financial and regulatory pressure has provided strong incentives to institute better disease prevention, improved patient monitoring, and push U.S. healthcare into the digital era. This transition requires that data privacy be ensured for digital health data in three distinct phases: I. acquisition, II. storage, and III. computation. Each phase(More)
With the recent advances in cloud computing and the capabilities of mobile devices, the state-of-the-art of mobile computing is at an inflection point, where compute-intensive applications can now run on today's mobile devices with limited computational capabilities. This is achieved by using the communications capabilities of mobile devices to establish(More)
Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health care is a particularly important one. Networked sensors, either worn on the body or embedded in our living environments, make possible the gathering of rich information indicative of our physical and mental health. Captured on a continual basis, aggregated,(More)
— A retiming algorithm is presented which includes the effects of variable register, clock distribution, and interconnect delays. These delay components are incorporated into the retiming process by assigning register electrical characteristics (REC's) to each edge in the graph representation of a synchronous circuit. A matrix, called the sequential(More)
BACKGROUND The QT interval is a risk marker for cardiac events such as torsades de pointes. However, QT measurements obtained from a 12-lead ECG during clinic hours may not capture the full extent of a patient's daily QT range. OBJECTIVE The purpose of this study was to evaluate the utility of 24-hour Holter ECG recording in patients with long QT syndrome(More)