Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Patrick Hansen"'
Autor:
Stefan Vögele, Patrick Hansen, Witold-Roger Poganietz, Sigrid Prehofer, Wolfgang Weimer-Jehle
Publikováno v:
Data in Brief, Vol 10, Iss C, Pp 515-517 (2017)
Many studies stress the needs of interdependence analysis under the special conditions of multidisciplinary systems that include social systems. This applies, in particular, to scenarios on future energy demand and supply. Using the example of the re
Externí odkaz:
https://doaj.org/article/f7e7a8fda55f47ebaec859fd49d6d9af
Autor:
Jae-sun Seo, Jian Meng, Patrick Hansen, Shreyas K. Venkataramanaiah, Paul N. Whatmough, Chuteng Zhou
Publikováno v:
FPL
Convolutional neural networks (CNNs) have become very popular in real-time computer vision systems. CNNs involve a large amount of computation and storage and typically demand a highly efficient computing platform. Researchers have explored a diverse
Autor:
Paul N. Whatmough, Yury Krustalev, Dumidu Talagala, Patrick Hansen, Alexey Vilkin, Matthew Mattina, David Hanwell, James Imber
Publikováno v:
ICPR
Convolutional neural networks (CNNs) are now widely deployed in a variety of computer vision (CV) systems. These systems typically include an image signal processor (ISP), even though the ISP is traditionally designed to produce images that look appe
Autor:
Witold-Roger Poganietz, Patrick Hansen, Sigrid Prehofer, Wolfgang Weimer-Jehle, Stefan Vögele
Publikováno v:
Energy. 120:937-946
A major goal concerning the energy transition in Germany is the reduction of energy usage. In Germany in 2011, private households consumed 2194 PJ and have been identified as a sector with high energy reduction potential. The energy demand of this se
Autor:
Tsung-Yen Yang, Patrick Hansen, Mung Chiang, Elizabeth Tenorio, Christopher G. Brinton, Andrew S. Lan, Richard Junior Bustamante
Publikováno v:
ICDCS
We consider the problem of jointly predicting the quality and timing of responses to questions asked in online discussion forums. While prior work has focused on identifying users most likely to answer and/or to provide the highest quality answers to
Publikováno v:
ESSCIRC
Always-on classifiers for sensor data require a very wide operating range to support a variety of real-time workloads and must operate robustly at low supply voltages. We present a 16nm always-on wake-up controller with a fully-connected (FC) Deep Ne
Publikováno v:
IRI
Petri net (PN) is a modeling tool to represent systems or processes. With the addition of fuzzy logic, Fuzzy Petri nets (FPN) are built to allow for systems to deal with uncertainty. The capability to deal with uncertainty is a useful tool when desig
Autor:
Paul N. Whatmough, Patrick Hansen, David Brooks, Gu-Yeon Wei, Niamh Mulholland, Sreela Kodali
Publikováno v:
ICCD
IoT devices are increasing in prevalence and popularity, becoming an indispensable part of daily life. Despite the stringent energy and computational constraints of IoT systems, specialized hardware can enable energy-efficient sensor-data classificat
Publikováno v:
IROS
Real-time contamination monitoring in health care facilities would allow medical teams to take appropriate actions to carefully enter, avoid, or decontaminate contaminated areas, reducing infection risk for themselves and their patients. In this pape