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26 Bozorgmehr, BehnamQES-Winds v1.0: Theory and User's GuideA new dispersion modeling system based on the well-used FORTRAN-based QUIC (Quick Urban and Industrial Complex) dispersion modeling system originally developed by the University of Utah and Los Alamos National Laboratory [1], has been under development as collaboration between the University of Utah...2021
27 Smith, Amanda D.Performance modeling and parametric study of a stratified water thermal storage tankThermal energy storage (TES) can significantly increase the overall effciency and operational flexibility of adistributed generation system. A sensible water storage tank is an attractive option for integration in building energy systems, due to its low cost and high heat capacity. As such, this pap...2016-02-13
28 Horch, Kenneth W.; Dhillon, Gurpreet S.Direct neural sensory feedback and control of a prosthetic armEvidence indicates that user acceptance of modern artificial limbs by amputees would be significantly enhanced by a system that provides appropriate, graded, distally referred sensations of touch and joint movement, and that the functionality of limb prostheses would be improved by a more natural co...Peripheral Nerve Implant; Prosthetic Limb Control; Sensory Feedback2005-12
29 Adams, DanielMicromechanical modeling of high energy compositesHigh-energy polymer-binded explosives (PBXs) are composed of high-energy crystaline particles and a rubbery binder. The volume fraction of particles is approximately 92 percent. The high-energy particles have a Young's modulus that is three orders of magnitude higher than that of the binder. Eff...2000
30 Ameel, Timothy AMicrochannel fluid behavior using micropolar fluid theoryIn this paper, we describe microchannel fluid behavior using a numerical model based on micropolar fluid theory and experimentally verify the model using micromachined channels. The micropolar fluid theory augments the laws of classical continuum mechanics by incorporating the effects of fluid ...1998
31 Legorburu, GabrielEnergy modeling framework for optimizing heat recovery in a seasonal food processing facilitySocietal, cultural and economic factors are driving food processors to reduce energy consumed per unit mass of food. This presents a unique problem because time variant batch processing using low to medium grade heat is common in food production facilities. Heat recovery methods may be implemented b...Energy efficiency; Food industry; Heat recovery; Optimization; Simulation2018-07-20
32 Normann, Richard A.; Johansson,Torbjorn; Abbasi, Masoud; Huber, Robert J.Three-dimensional architecture for a parallel processing photosensing arrayA three-dimensional architecture for a photosensing array has been developed. This silicon based architecture consists of a 10 x 10 array of photosensors with 80 microns diameter, through chip interconnects to the back side of a 500 microns thick silicon wafer. Each photosensor consists of a 300 x 3...Retina; Optics; Silicon; Photosensing1992
33 Legorburu, GabrielUsing Observed Data During Early Design To Simulate Building Mechanical System Energy PerformanceEnergy Modeling; Real-World Data; Neural Networks2019
34 Rahman, AowabinPredicting fuel consumption for commercial building with machine learning algorithmsThis paper presents a modeling framework that uses machine learning algorithms to make longterm, i.e. one year-ahead predictions, of fuel consumption in multiple types of commercial prototype buildings at one-hour resolutions. Weather and schedule variables were used as model inputs, and the hourly ...Building energy modeling; Machine learning; Prediction; Heating load; Data-driven modeling2017-08
35 Horch, Kenneth W.; Lawrence, Steve M.; Dhillon, Gurpreet S.Acute peripheral nerve recording characteristics of polymer-based longitudinal intrafascicular electrodesWe examined the recording characteristics of two different types of polymer-based longitudinal intrafascicular electrodes (LIFEs) in peripheral nerve: single-stranded (s-polyLIFEs) and multistranded (m-polyLIFEs). Recordings were also made from Pt-Ir wire-based electrodes (PtIrLIFEs) as a control. T...Sciatic Nerve; Intrafascicular Electrodes, Peripheral Nerve Recording2004
36 Roundy, Shadrach J.A cost-effective planar electromagnetic energy harvesting transducerThis paper presents a planar multi-pole electromagnetic energy harvesting transducer. We report on the design, manufacture, and performance results of integrated devices based on this transducer. The transducer leverages recent advancements in the manufacture of multi-pole magnets and can be impleme...2012-01-01
37 Jayamohan, HarikrishnanApplications of microfluidics for molecular diagnosticsDiagnostic assays implemented in microfluidic devices have developed rapidly over the past decade and are expected to become commonplace in the next few years. Hundreds of microfluidics-based approaches towards clinical diagnostics and pathogen detection have been reported with a general theme of ra...Microfluidics; Micro-total-analysis-systems; Lab-on-a-chip; Point-of-care devices; Sample preparation; MEMS; Rapid prototyping; Biomarker detection; Personalized medicine; Global health care2012-11-04
38 Brown, Don R.The design and implementation of partnetPartNet is a federated database for providing interactive online access to mechanical parts catalogs. The data contained in the vendor's product database is exported to the federated database using a networkbased distributed database protocol. A Single coherent view of these vendor databases is pro...1995
39 Normann, Richard A.; Abbasi, Masoud; Johansson,TorbjornSilicon carbide enhanced thermomigrationThe widespread acceptance of thermomigration technology to produce through-chip interconnects has been impaired by (i) a random walk of the Si-Al liquid eutectic inclusion as it traverses the wafer, and (ii) a ?surface barrier? which allows thermomigration of only relatively large inclusions. In ...Silicon Dioxide; Thermometers; Transducers; Thermomigration Technology; Infrared Lamps1992
40 Rahman, AowabinPredicting heating demand and sizing a stratified thermal storage tank using deep learning algorithmsThis paper evaluates the performance of deep recurrent neural networks in predicting heating demand for a commercial building over a medium-to-long term time horizon (≥ 1 week), and proposes a modeling framework to demonstrate how these longer-term predictions can be used to aid design of a strati...Building Energy Modeling; Machine Learning; Recurrent Neural Networks; Deep Learning; Heating Load Prediction; Thermal Energy Storage2018
41 Didier, Richard C.Linking microclimate and energy use with a low cost wall mounted measurement systemUrban microclimate plays a critical role in overall urban energy demand and efficiency. At the building scale, energy use and internal conditions are directly impacted by local microclimate. The direct link between building energy use and local microclimate is through building envelope heat fluxes. ...Microclimate; Energy; Temperature; Humidity; Arduino; EnergyPlus2016-06
42 Rahman, AowabinDeep recurrent neural networks for building energy predictionThis poster illustrates the development of a deep recurrent neural network (RNN) model using long-short-term memory (LSTM) cells to predict energy consumption in buildings at one-hour time resolution over medium-to-long term time horizons ( greater than or equal to 1 week).Machine learning; Energy; Building energy modeling; Deep learning; Recurrent neural networks; Prediction2017-01-13
43 Jayamohan, HarikrishnanNovel titania nanotube based electrochemical detection in micrototal analysis systemWe report the modification of titania (TiO2) nanotubes for quantitative electrochemical (EC) detection of biomolecules on a microfluidic platform.Microfluidics; Titania nanotubes; Electrochemical detection2015
44 Ameel, Timothy A;Harvey, Ian R.; Miller, Mark S.; Blair, Steven; Gale, Bruce K.; Ring, Terry ArthurBuilding academic, research, and commercialization programs in micro and nano science and engineering at the University of UtahAbstract-This paper presents a case-study of some University /Government / Industry interactions at the University of Utah that build research and academic programs and create opportunities fur economic growth in the areas of micro and nanu science and engineering.2003
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