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Powder bed fusion (PBF) has become a widely used additive manufacturing (AM) technology to produce metallic parts. As the PBF process is driven by a moving heat
Since the Named Data Networking (NDN) data plane requires name-based lookup of potentially large tables using variable-length hierarchical names as well as per
Kamran Sayrafian, Masoud Roudneshin, Amir G. Aghdam
Recent advancements in micro-electronics have led to the development of miniature-sized wearable sensors that can be used for a variety of health monitoring
Smart home technology exposes adopters to increased risk to network security, information privacy, and physical safety. However, users may lack understanding of
Rebecca Faust, Kartherin Isaacs, William Z. Bernstein, Michael Sharp, Carlos Scheidegger
Debugging is famously one the hardest parts in programming. In this paper, we tackle the question: what does a debugging environment look like when we take
Juan F. Fung, Siamak Sattar, David Butry, Steven L. McCabe
Aging building clusters all around the world, especially in high seismic regions, will require a retrofit approach to improve the resilience of the built
M S Raunak, David Kuhn, Richard Kogut, Raghu Kacker
In previous work we have looked at trends in vulnerabilities due to ordinary programming errors [2, 3]. This analysis focuses on two of the most widely used
The analysis of complex samples without extensive preparation steps (e.g., filtration or centrifugation) is a persistent challenge for applications ranging from
Juan Fung, Dustin Cook, Yating Zhang, Katherine Johnson, Siamak Sattar
Current building design practice targets life safety performance for the design-level earthquake. While some buildings (e.g., schools, hospitals) may be
Smart home device updates are important tools for users to remediate security vulnerabilities and protect devices from future attacks. However, no prior
During a strong earthquake, commercial and residential buildings designed to meet current building codes and standards may sustain damage that significantly
Jun Wang, Andy Tam, Paul A. Reneke, Richard Peacock, Thomas Cleary, Eugene Yujun Fu, Grace Ngai, Hong Va Leong
This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for
Inherent variability in the mechanical properties of reinforcing steel and concrete introduces uncertainty into the seismic assessment of reinforced concrete
Codes and standards developing organizations, such as American Society of Civil Engineers (ASCE) and American Concrete Institute (ACI), rely on experimental
Jun Wang, Youwei Jia, Eugene Yujun Fu, Jiajia Li, Andy Tam
This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research
Both ASCE/SEI 7-16 and ASCE/SEI 41-17 design standards require that P-D effects be included in the nonlinear dynamic analysis procedure for designing new and
Alexander Landauer, Jared C. Van Blitterswyk, Michael Riley, Aaron Forster
Impact mitigating materials (IMMs) are used to reduce injury or damage due to a blunt impact, which often occurs at high rates or energies. Innovation in IMMs
Sumit Bhushan, Oliver T. Slattery, Xiao Tang, Lijun Ma
We outline a proposal to realize Electromagnetically Induced Transparency (EIT) with the potential to store Terahertz (THz) optical pulses in Cesium atoms. Such
This paper describes a metrology instrument designed for detecting noise and interference in digital communications. A quadrature detector downconverts in-phase
Thomas Gerrits, Alan L. Migdall, Joshua C. Bienfang, John H. Lehman, Sae Woo Nam, Oliver T. Slattery, Jolene D. Splett, Igor Vayshenker, Chih-Ming Wang
We present our measurements of the detection efficiency of free-space and fiber-coupled single- photon detectors at wavelengths near 851 nm and 1533.6 nm. We
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close
With the gaining popularity of performance-based engineering, it is essential to have reliable estimates of component (e.g., steel beam or column) performance
Alexandra Artusio-Glimpse, Ivan Ryger, Natalia A. Azarova, Paul A. Williams, John Lehman
Demonstration and validation of a linear radiation pressure-based high-power laser power meter is presented. To date, this device is the most promising real
For accurate realization of the ac volt, the Josephson Arbitrary Waveform Synthesizer (JAWS) must not be overly loaded by the electrical network in which it is
Brian Simonds, Jack R. Tanner, Alexandra B. Artusio-Glimpse, Paul A. Williams, Niranjan Parab, Cang Zhao, Tao Sun
During high-power laser metal processing, the absorbed light is intimately related to the molten metal cavity shape. For the first time, we directly and