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This paper presents the use of a binary search algorithm to obtain the simulated response of a superconducting Josephson junction-based sampler. In the absence
As interest in digital engineering within a variety of technical domains begins to accelerate, certain industries continue to encounter obstacles with regards
Mehdi Dadfarnia, Serghei Drozdov, Michael Sharp, Jeffrey Herrmann
Industrial Condition Monitoring Systems (CMSs) collect and evaluate system and equipment operations to support control and decision-making. Despite their
Michelle Pirrone, Keith Forsyth, Jordan Bernhardt, Dan Kuester, Aric Sanders, Duncan McGillivray, Adam Wunderlich
The proliferation of communication devices and systems has led to increasingly complex and dynamic spectral environments. This greatly impacts the operations of
Ganga Neupane, Behrang Hamadani, David Albin, Joel Duenow, Matthew Reese, Susanna Thon
We report on the local photoluminescence properties of grains and grain boundaries of CdSe0.1Te0.9 thin film deposited by the colossal grain growth method using
Samantha Gamboa Quintiliani, Aziza Ben Mosbah, Wesley Garey, Chunmei Liu, Richard A. Rouil
The notion of UE-based relays started with the introduction of Proximity Services (ProSe) and Device-to-Device (D2D) communication, and evolved with the
Andrew Shore, Tali Schlenoff, Bakary Coulibaly, David Navon, Stephanie Moffitt, Brian P. Dougherty, Behrang Hamadani
Longterm reliable operation of photovoltaic modules is necessary to ensure the technology is key to reducing the cost of solar energy. However, degradation
Alp Akcay, Stephan Biller, Boon Ping Gan, Christoph Laroque, Guodong Shao
Digital twins have become an important element in smart manufacturing. As any other product, digital twins also have a lifecycle, starting from specifying the
Simon Taylor, Charles Macal, Andrea Matta, Markus Rabe, Susan Sanchez, Guodong Shao
Simulations are used to investigate physical systems. A digital twin goes beyond this by connecting a simulation with the physical system with the purpose of
William Borders, Advait Madhavan, Matthew Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez J. McClelland, Brian Hoskins
Neural networks are increasing in scale and sophistication, catalyzing the need for efficient hardware. An inevitability when transferring neural networks to
Due to the proliferation of computers in all aspects of our lives, the energy and ecological impacts of computing are becoming increasing important. Some of the
Ashrafi Akbar, Fariha Rahman, Anoop Singhal, Latifur Khan, Bhavani Thuriasingham
Ontology enables semantic interoperability, making it highly valuable for cyber threat hunting. Community-driven frameworks like MITRE ATT&CK, D3FEND, ENGAGE
In this paper we use two Recursive Least Squares (RLS) estimation methods to solve the cooperative localization problem based on Wi-Fi received signal strength
Image texture analysis is ubiquitous as it finds application in many scientific fields of interest, including biomedical and material science. The automated
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