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The National Institute of Standards & Technology (NIST) invites educators to discover STEM resources on the NIST Educational STEM Resource (NEST-R) registry
Metal Additive Manufacturing (MAM) is a transformative technology with the potential to revolutionize manufacturing through the production of complex, high-valu
In digital forensics, file system analysis is a precursor task to event reconstruction. Often, unallocated content within a file system is content of interest
Common-view time transfer can be performed using either single (L1) or dual (L1/L2) frequency global navigation satellite system (GNSS) signals. Using dual
Marla L. Dowell, Hannah Brown, Gretchen Greene, Paul D. Hale, Brian Hoskins, Sarah Hughes, Bob R. Keller, R Joseph Kline, June W. Lau, Jeff Shainline
The CHIPS and Science Act of 2022 called for NIST to "carry out a microelectronics research program to enable advances and breakthroughs....that will accelerate
Sijie Tao, Nuo Chen, Tetsuya Sakai, Zhumin Chu, Hiromi Arai, Ian Soboroff, Nicola Ferro, Maria Maistro
This paper provides an overview of the NTCIR-17 FairWeb-1 Task. FairWeb-1 is an English web search task which seeks more than an ad-hoc web search task. Our
The applications of digital twins continue to grow with the volume and variety of data collected. These data support the modeling of function, behavior, and
Julie Haney, Clyburn Cunningham, Susanne M. Furman
The "research-practice gap" can prevent the appli- cation of valuable research insights into practice. While the gap has been studied in several fields, it is
Amar Abane, Abdella Battou, Mheni Merzouki, Tao Zhang
To address the increasing complexity of network management and the limitations of data repositories in handling the various network operational data, this paper
We present the long-term timing accuracy of STL receivers by validating their performance against UTC(NIST), the timing reference at the National Institute of
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
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
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
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
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