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The objective of this paper is to study the radar imaging of a commercial drone (DJI Phantom III) in an artificial urban environment. A 10-GHz frequency
Counterfeit semiconductor devices are a major economic and security threat that can cause losses in multiple economic sectors. This problem's impact on national
Howard Dai, Jack Chuang, Jian Wang, Samuel Berweger, David Griffith
Multipath component (MPC) extraction is critical for channel modeling and joint communications and sensing (JCAS). Super-resolution algorithm known as CLEAN
The industrial transition towards a more sustainable Circular Economy (CE) emphasizes the need for products that align with CE principles and robust methods for
Tanguy Ropitault, Steve Blandino, David Griffith, Thao Nguyen, Anirudha Sahoo, Nada Golmie
Sensing is poised to be a crucial feature in 6G, leading 3GPP to integrate sensing capabilities into the 5G New Radio (NR) framework. Significant progress has
Polette Centellas, Stian Romberg, Ran Tao, Alexander Landauer, Karl Schoch, Huong Giang Nguyen, Gale Holmes, Gery Stafford, Christopher Soles
Residual stresses inevitably develop in thermosetting materials used for semiconductor packaging during the curing process and in service. Understanding the
Anthony Kotula, Ran Tao, Jianwei Tu, Young Lee, Gale Holmes
Liquid encapsulants are versatile packaging materials that provide electrical insulation and mechanical protection for microelectronic devices. As more advanced
Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed, Anoop Singhal, Latifur Khan, Punya Modi, Ehab Al-Shaer
Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text
There are few insights into how users' perspectives on smart home security and privacy differ depending on device category. This may leave the smart home
Maya Reslan, Matthew Triebe, Rishabh Venketesh, Ashley Hartwell
Lean manufacturing has gained popularity over the last few decades as a resource-efficient approach to manufacturing. The rise of smart factories and digital
Ryan O'Loughlin, Nicholas Skuda, Bakhrom Oripov, Sonia Buckley, Adam McCaughan
The brain implements recurrent neural networks (RNNs) efficiently, and modern computing hardware does not. Although specialized neuromorphic hardware is well
Yining Luo, Baobao Li, Anoop Singhal, Pei-Yu Tseng, Lan Zhang, Qingtian Zou, Xiaoyan Sun, Peng Liu
Large Language Models (LLMs) have shown promise in automating code vulnerability repair, but their effectiveness in handling real-world code remains limited
Camillo Gentile, Jack Chuang, Steve Blandino, Jelena Senic, Jihoon Bang, Samuel Berweger
This paper presents a methodology for measuring the radar cross-section (RCS) of a target that scatters power from multiple points on its surface, in the
NIST is leading and supporting multiple efforts to develop standards for 3D imaging systems used for industrial automation. There are few standards for
Experts struggle with explaining cybersecurity in a language and tone appropriate for non-expert audiences. This communication gap may make it difficult for a
Bryan Barnes, Aaron Chew, Nicholas Jenkins, Yunzhe Shao, Martin Sohn, Regis Kline, Daniel Sunday, Purnima Balakrishnan, Thomas Germer, Steven Grantham, Clay Klein, Stephanie Moffitt, Eric Shirley, Henry Kapteyn, MARGARET MURNANE
Background: The industry is developing extreme-ultraviolet wavelength (EUV) techniques to measure critical dimensions (CDs) in logic fabrication. As nascent
The pharmaceutical (pharma) manufacturing sector is rapidly evolving to meet the global needs for faster, safer, and more efficient therapeutics. A key focus of
In semiconductor device manufacturing, 3D structure measurements of newly complex devices would be valuable alongside conventional scanning electron microscopy
3D stereo depth sensors have a variety of applications, including sensing for autonomous vehicles, reverse engineering, and manufacturing automation. The
3D stereo depth sensors have a variety of applications, including sensing for autonomous vehicles, reverse engineering, and manufacturing automation. The
Erin Lanus, Brian Lee, Jaganmohan Chandrasekaran, Laura Freeman, M S Raunak, Raghu Kacker, David Kuhn
Artificial Intelligence (AI) models use statistical learning over data to solve complex problems for which straightforward rules or algorithms may be difficult
Buddhika Hapuwatte, Ashley Hartwell, Richard Krock, Brian Whelan, Tribu Persaud
Increasing global efforts towards a circular economy and emissions reductions emphasize alternative pathways for end-of-use recovery of products through value
Picking a part from an unorganized pile of parts requires an accurate vision system integrated with a robotic arm. A proper metric for gauging pose error is
Aaron Cornelius, Gregory Vogl, Ryan Hall, Yongzhi Qu
The development of intelligent machine tools requires integrating sensors that allow the machine to monitor, diagnose, and control the machining process
Brandon Zink, Advait Madhavan, William Borders, Jabez McClelland
In-memory computing is a promising solution for solving the Von-Neumann bottleneck. In particular, computational random-access memory (CRAM) is a promising form