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Many engineers use analysis tools to predict behavior or find optimal values for properties of systems built to proposed designs, informing system design work by identifying cases where a design will perform incorrectly or in suboptimal ways. Design and
This report presents a comprehensive update to the collection of dwellings used to represent the U.S. housing stock, reflecting changes and trends up to the year 2024. This update aims to ensure the collection remains relevant and accurately mirrors the
DJ Anand, Hamid Ossareh, Yasaman Pedari, Collin Freiheit
Real-time constraint management schemes for timevarying or parameter-varying systems often result in conservative (slow) responses or carry a heavy computational burden. This makes some of the existing solutions less suitable for practical applications
Kevin J. Coakley, Pavel Kabos, Stephane Moreau, Yaw S. Obeng
We present empirical models for measured frequency-dependent insertion loss (|S21|) in a prototypical TSV enabled 3D-IC from SEMATECH. The model parameters are determined with a stochastic optimization implementation of the Levenberg-Marquardt method. We
A variety of network modeling problems begin by generating a degree sequence drawn from a given probability distribution. If the randomly generated sequence is not graphic, we give two new approaches for generating a graphic approximation of the sequence
We present an \it ab initio} method for computing vibro-polariton and phonon-polariton spectra of molecules and solids coupled to the photon modes of optical cavities. We demonstrate that if interactions of cavity photon modes with both nuclear and
The National Institute of Standards and Technology (NIST) is considering replacing its existing reactor, known as NBSR, with a cutting-edge test reactor. This new test reactor, the NIST Neutron Source (NNS), is currently in the conceptualization phase. The
While spiking neuromorphic hardware holds promise for efficient implementations of artificial intelligence, the impact has been limited due in part to a lack of learning algorithms that achieve performance superior to conventional deep learning. One
We review the current status of efforts to develop and deploy post-quantum cryptography on the Internet. Then we suggest specific ways in which quantum technologies might be used to enhance cybersecurity in the near future and beyond. We focus on two goals
Ian Spielman, Amilson Fritsch, Panayotis Kevrekidis, T. Mithun, G. Koutsokostas, D. Frantzeskakis
We consider solitonic excitations above the ground state of $F=1$ spin orbit coupled Bose-Einstein condensates (SOBECs). The low energy properties of SOBECs in any of the three branches of the single particle dispersion relation can be described by
We simultaneously design the porosity and plane symmetry of self-assembling colloidal films by using isohedral tiles to determine the location and shape of enthalpically interacting surface patches on motifs being functionalized. The symmetries of both the
Community resilience planning is challenging as it involves several large-scale systems with interdependency, populations with diverse socio-economic characteristics, and numerous stakeholders. This study introduces a new optimization model to decrease a
Omar Aboul-Enein, Henry Medeiros, Mili Shah, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many industrial and unstructured environments. Namely, large-scale manufacturing processes, typical
Newell Moser, Jake Benzing, Orion Kafka, Jordan Weaver, Nicholas Derimow, Ross Rentz, Nik Hrabe
The additive manufacturing benchmarking challenge described in this work was aimed at the prediction of average stress–strain properties for tensile specimens that were excised from blocks of non-heat-treated IN625 manufactured by laser powder bed fusion
Runbo Jiang, John Smith, Yu-Tsen Yi, Tao Sun, Brian Simonds, Anthony D. Rollett
The quantification of the amount of absorbed light is essential for understanding laser-material interactions and melt pool dynamics in order to minimize defects in additive manufactured metal components. The geometry of a vapor depression, also known as a
Austin Hope, Israel Lopez Coto, Kristian Hajny, Jay M Tomlin, Robert Kaeser, Brian Stirm, Anna Karion, James Whetstone, Paul Shepson
We conduct WRF simulations at multiple resolutions down to the "grey zone" (9 km, 3 km, 1 km, 333 m) to examine boundary layer turbulence in three planetary boundary layer (PBL) schemes: the well-established MYNN PBL scheme and the two newest PBL schemes
Chiehping Lai, Jelena Senic, Camillo Gentile, Nada T. Golmie
Accurate channel propagation modeling of foliage is critical to the design and deployment of wireless networks, given its pervasive nature in rural, suburban, and urban environments. Its blockage effects can be particularly devastating at millimeter-wave
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 transformative algorithms of recent years generate huge amounts of carbon dioxide, potentially
Computer-interpretable representations of system structure and behavior are at the center of developing today's complex systems. Systems engineers create and review these representations using graphical languages and information models that capture
One may consider the generalization of Jacobi polynomials and the Jacobi func- tion of the second kind to a general function where the index is allowed to be a complex number instead of a non-negative integer. These functions are referred to as Jacobi func
Anmol Bhardwaj, Jack Chuang, Camillo Gentile, Chiehping Lai
A wireless channel is wide-sense stationary (WSS) when the mean and autocorrelation of its small-scale fading are displacement invariant. This occurs when the channel is rich in propagation paths – their complex summation averages out any displacement
The use of Modelica for simulating the dynamic behaviors of building heating, ventilation, and air conditioning (HVAC) systems has gained popularity. Calibration of a Modelica model that represents large and complex HVAC systems involves the determination
This paper studies an online service caching problem, where an edge server, equipped with a prediction window of future service request arrivals, needs to decide which services to host locally subject to limited storage capacity. The edge server aims to
Random noise arising from physical processes is an inherent characteristic of measurements and a limiting factor for most signal processing and data analysis tasks. Given the recent interest in generative adversarial networks (GANs) for data-driven