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Daniel Schug, Sai Yerramreddy, Rich Caruana, Craig Greenberg, Justyna Zwolak
As the deployment of computer vision technology becomes increasingly common in science, the need for explanations of the system and its output has become a
Bilal Ayyub, Ramsay Sawaya, David Butry, Yumi Oum, Vincent Loh, Jennifer Helgeson
Electric and gas investor-owned utilities operate in a regulated environment, and are scrutinized by media and stakeholders for key strategic and operational
Elena Jelisic, Nenad Ivezic, Boonserm Kulvatunyou, Perawit Charoenwut, Ana Nikolov
The COVID-19 pandemic has brought the cold chain for bio-pharmaceutical products to the spotlight. To preserve their structure and function, biopharmaceuticals
Yeun Park, Paul Witherell, Albert T. Jones, Hyunbo Cho
As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The
Fahad Milaat, Paul Witherell, Ho Yeung, Martin Hardwick
Traditionally, inspection and geometric dimensioning and tolerancing (GD&T) are deployed at the macroscale, where complete parts are tested to meet geometric
Lean manufacturing is based on data collection and analysis that is used toward reducing waste and enabling continuous improvement. However, little research has
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to
Ameya Ramadurgakar, Jake Rezac, Lennart Heijnen, Kate Remley, Dylan Williams, MELINDA PIKET-MAY, Rob Horansky
We introduce a type of RF fingerprint for nondestructive, cellular device identification. The new fingerprinting algorithm, termed Eigenphones, is a data-driven
Nathan Nakamura, Paul Szypryt, Joseph Fowler, Zachary H. Levine, Daniel Swetz
Accurate characterization of subsurface features in integrated circuits (ICs) is essential for defect detection, quality assurance, and supply chain security
Eugene Song, Kang B. Lee, Nishi Hiroaki, Yuki Takayama, Janaka Wijekoon
It is vital to establish a suitable thermal environment for crop cultivation and greenhouse to improve production quality. However, in greenhouse environments
Rob Jones, Jerome Cheron, Bryan Bosworth, Ben Jamroz, Dylan Williams, Miguel Urteaga, Ari Feldman, Peter Aaen
In this paper, we investigate the effect of two calibration errors, probe placement and capacitance per unit length, on transistor characterization from 220 GHz
Gregory W. Vogl, Yongzhi Qu, Reese Eischens, Gregory Corson, Tony Schmitz, Andrew Honeycutt, Jaydeep Karandikar, Scott Smith
Monitoring cutting forces for process control may be challenging because force measurements typically require invasive instrumentation. To remedy this situation
Jon R. Pratt, Stephan Schlamminger, Charles Condos, Jack Manley, Dalziel Wilson
We previously reported the use of a chip-scale torsion pendulum as a clock gravimeter, exploiting the parametric coupling of its frequency to the local
Due to self-occlusions in 3D point clouds acquired with line-of-sight sensors, an incomplete representation of an object's surface is used in fitting a CAD
Duckbong Kim, Mahdi Bajestani, Guodong Shao, Albert T. Jones, Sang Do Noh
Smart manufacturing has the goal of finding near-optimal, sustainable, and resilient solutions to various manufacturing problems. It is based on a vision that
Benedikt Hampel, Richard Mirin, Sae Woo Nam, Varun Verma
Superconducting Nanowire Single-Photon Detectors (SNSPDs) are excellent devices for the analysis of faint light from the ultraviolet to the mid-infrared. Recent
While recent advancements have been made in performance-based earthquake engineering to stochastically quantify functional recovery times for individual
Kumar Shashwat, Francis Hahn, Xinming Ou, Anoop Singhal
Matter is an open-source connectivity standard for the purpose of allowing smart home IoT devices from different vendors to interoperate with one another. A
Xiaowen Qi, Jing Geng, Mohamed Hany, Shuvra Bhattacharyya, Rick Candell
Internet of Things (IoT) technologies have impacted many fields by opening up much deeper and more extensive integration of communications connectivity, sensing
Energy harvesting (EH) is the process of capturing and storing energy from external sources or the ambient environment. The EH devices have found various
Brian D. Cloteaux, Vladimir Marbukh, Kamran Sayrafian
Automatic exposure notification apps operate based on guidelines that specify distance and time thresholds to measure the occurrence of contacts with infected
Isaac Leventon, Mahdi Tlemsani, Mohammadhadi Hajilou, Xiaoyu Ju, Michael Gollner
9 Between December 2019 and January 2020, 14 full-scale experiments were conducted at the University of 10 Maryland (UMD) in collaboration with the National Ins
Jason Floyd, Morgan Bruns, Isaac Leventon, Kevin B. McGrattan
12 This poster presents Fire Dynamics Simulator (FDS) simulations of anerobic, PMMA, gasification tests 13 performed by the National Institute of Standards and
Paritosh Manurkar, Dan Kuester, Joshua Kast, Rob Horansky
We present an experimental approach to design an over-the-air (OTA) millimeter-wave measurement of error vector magnitude (EVM) and associated uncertainties
Ameya Ramadurgakar, Kate Remley, Dylan Williams, Jake Rezac, MELINDA PIKET-MAY, Rob Horansky
Standard formulations of error vector magnitude compare a wireless device's symbol constellation to an ideal reference constellation. In this work, we utilize