Conferences

A Knowledge Constrained Deep Spatio-Temporal Clustering Approach for Melt Pool Anomaly Detection in Laser Powder Bed Fusion

March 25, 2024

Author(s)

Zhuo Yang, Yan Lu, Erfan Ziad, Feng Ju

The rapid expansion of the manufacturing sector has brought laser-based metal additive manufacturing, like laser powder bed fusion, to the forefront of

An Evaluation of Methods for Assessing Robot Kinematic Model Accuracy in the Presence of Noise

March 25, 2024

Author(s)

Mitchell R. Woodside, Patrick Bazzoli, Philip A. Olubodun, J. Adam Nisbett, Helen Qiao, Douglas A. Bristow

While there are many works developing methods for modeling and calibrating robot kinematics, assessing the accuracy of those models has received little

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis

March 23, 2024

Author(s)

Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung

Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as

Implementing the Risk Management Framework for Additive Manufacturing Security: A Model-based Approach

March 20, 2024

Author(s)

Duncan Gibbons, Joshua Lubell, Paul Witherell

Metal additive manufacturing machines are complex and inherently digital and often cyber-physical systems. As the adoption of this manufacturing technology

SURFACE ROUGHNESS REPEATABILITY ANALYSIS FOR MULTI-BUILD OVERHANG PARTS IN POWDER BED FUSION ADDITIVE MANUFACTURING

March 20, 2024

Author(s)

Zhuo Yang, Gi Suk Hong, Yan Lu, Brandon Lane, Chun-Chun Hu, Haw-Ching Yang

Additive manufacturing (AM) has been evolving from rapid prototyping towards applications in high-volume production and mass manufacturing. However, achieving

KNOWLEDGE EXTRACTION IN ADDITIVE MANUFACTURING A FORMAL CONCEPT ANALYSIS APPROACH

March 20, 2024

Author(s)

Zhuo Yang, Yan Lu, Yande Ndiaye, Mario Lezoche, Herve Panetto

In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and

MULTI-SCALE MODEL PREDICTIVE CONTROL FOR LASER POWDER BED FUSION ADDITIVE MANUFACTURING

March 20, 2024

Author(s)

Gi Suk Hong, Zhuo Yang, Yan Lu, Brandon Lane, Ho Yeung, Jaehyuk Kim

Additive manufacturing (AM) process stability is critical for ensuring part quality. Model Predictive Control (MPC) has been widely recognized as a robust

SELF-SUPERVISED MULTI-LABEL MELT POOL ANOMALY CLASSIFICATION IN POWDER BED FUSION ADDITIVE MANUFATURING

March 20, 2024

Author(s)

Zhuo Yang, Yan Lu, Gi Suk Hong, Jaehyuk Kim

Laser Powder Bed Fusion (LPBF) is a key technique in metal additive manufacturing (AM) that enables the fabrication of parts with complex geometries and

TOWARDS REPRODUCIBLE MACHINE LEARNING-BASED PROCESS MONITORING AND QUALITY PREDICTION RESEARCH FOR ADDITIVE MANUFACTURING

March 20, 2024

Author(s)

Yan Lu, Zhuo Yang, Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Hyunwoong Ko, Yaoyao Fiona Zhao

Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in

Atomic and Molecular Databases Open Science for a sustainable world

March 19, 2024

Author(s)

Yuri Ralchenko, Marie-Lise Dubernet, Bruce Berriman, Paul Barklem, K Choi, Adam Foster, Iouli Gordon, Christian Hill, J Kim, DH Kwon, Harold Linnartz, Farid Salama, Hanna Shmagun, P Schilke, D Seo, J Shim, S Shin, Mi-Yong Song, Jonathan Tennyson, Charlotte VASTEL

The building of online atomic and molecular databases for astrophysics and for other research fields started with the beginning of the internet. These databases

An Abstract Model for Digital Forensic Tools - A Foundation for Systematic Error Mitigation Analysis

March 15, 2024

Author(s)

Chris Hargreaves, Alexander Nelson, Eoghan Casey

As automation within digital forensic tools becomes more advanced there is a need for a systematic approach to ensure the validity, reliability, and

A Photoacoustic Technique for Measuring Soot Deposition on Surfaces

March 13, 2024

Author(s)

Ryan Falkenstein-Smith, Amy Mensch

This study investigates a soot deposition measurement technique that relies on the photoacoustic effect of soot. A non-invasive and reliable soot deposition

NIST Multi-Domain Knowledge Planes for Service Federation for 5G & Beyond Public Working Group: Applications to Federated Autonomic/Autonomous Networking

March 13, 2024

Author(s)

Robert B. Bohn, Tao Zhang, Abdella Battou, Ranganai Chaparadza, Taesang Choi, Baek-Young Choi, Hisham Kholidy, SeungKyu Go, Moonkook Park, Sejun Song

The National Institute of Standards and Technology (NIST) is an agency of the United States Department of Commerce. Transformational Networks and Services group

On the Use of Neural Network for Evaluation of Total Absorptivity of Glass in a Non-gray Absorbing/Emitting N2/CO2/H2O Mixture Environment

March 13, 2024

Author(s)

Wai Cheong Tam, Walter W. Yuen

Total absorptivity of glass in the presence of a N2/CO2/H2O is determined numerically using the glass spectral optical properties and the spectroscopic data

Estimations of Photopheresis and Thermophoresis Impacts on Soot Particle Velocity

March 12, 2024

Author(s)

Emma Veley, Amy Mensch, Ryan Falkenstein-Smith, Thomas Cleary

The dissemination of soot particles onto surfaces in a compartment fire is affected by local radiation and temperature gradients. Subsequently, any deposition

Explainable Classification Techniques for Quantum Dot Device Measurements

March 12, 2024

Author(s)

Daniel Schug, Tyler Kovach, Jared Benson, Mark Eriksson, Justyna Zwolak

In the physical sciences, there is an increased need for robust feature representations of image data: image acquisition, in the generalized sense of two

Discover STEM Education Resources

March 6, 2024

Author(s)

Cara O'Malley, Elizabeth Benham

The National Institute of Standards & Technology (NIST) invites educators to discover STEM resources on the NIST Educational STEM Resource (NEST-R) registry

Expanding MAM Readiness: Towards A Holistic Model for Metal Additive Manufacturing in the Fourth Industrial Revolution

February 29, 2024

Author(s)

Yan Lu, Andrew Couch

Metal Additive Manufacturing (MAM) is a transformative technology with the potential to revolutionize manufacturing through the production of complex, high-valu

Provenience-based cross-verification of digital forensic artifacts applied to NTFS

February 19, 2024

Author(s)

Alexander Nelson, Sheldon Douglas

In digital forensics, file system analysis is a precursor task to event reconstruction. Often, unallocated content within a file system is content of interest

Evaluating Common-View Time Transfer Using a Low-Cost Dual-Frequency GNSS Receiver

February 15, 2024

Author(s)

Aidan Montare, Andrew Novick, Jeffrey Sherman

Common-view time transfer can be performed using either single (L1) or dual (L1/L2) frequency global navigation satellite system (GNSS) signals. Using dual

Advancing Measurement Science for Microelectronics: CHIPS R&D Metrology Program

February 13, 2024

Author(s)

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

Overview of the NTCIR-17 FairWeb-1 Task

February 13, 2024

Author(s)

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

Data Requirements for a Digital Twin of a Robot Workcell

February 1, 2024

Author(s)

Deogratias Kibira, Guodong Shao

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

Towards Integrating Human-Centered Cybersecurity Research Into Practice: A Practitioner Survey

January 30, 2024

Author(s)

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

A Smart Network Repository Based on Graph Database

January 25, 2024

Author(s)

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

The Long-Term Timing Performance of Satellite Time and Location Receivers Utilizing Signals from Low Earth Orbit Satellites

January 25, 2024

Author(s)

Andrew Novick, Peter Johnson

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

Josephson Sampler Response using a Binary Search Algorithm

January 19, 2024

Author(s)

BART VAN ZEGHBROECK, Logan Howe, Pete Hopkins

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

Adaptation of ISO 23247 to Aerospace Digital Twin Applications: On-Orbit Collision Avoidance and Space-Based Debris Detection

January 12, 2024

Author(s)

Allan Shtofenmakher, Guodong Shao

As interest in digital engineering within a variety of technical domains begins to accelerate, certain industries continue to encounter obstacles with regards

A Simulation-Based Approach to Assess Condition Monitoring-Enabled Maintenance in Manufacturing

January 8, 2024

Author(s)

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

ATIC: Automated Testbed for Interference Testing in Communication Systems

December 25, 2023

Author(s)

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