Byzantine Fault-Tolerance in Decentralized Optimization under 2f-Redundancy

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Modeling Combined Fabric Evolution in an Anisometric Granular Material Driven by Particle-Scale X-Ray Measurements

Edward Carlo Giorgio Andò

A combined fabric evolution (CFE) model is used to predict real-world fabric evolution of a strongly anisometric granular material under triaxial loading, connecting advances in theoretical developments and experimental measurement technology for fabric ev ...

ASCE-AMER SOC CIVIL ENGINEERS2022

Negative Capacitance in HfO2 Gate Stack Structures With and Without Metal Interlayer

Mihai Adrian Ionescu, Igor Stolichnov, Ali Saeidi, Francesco Bellando, Matteo Cavalieri, Carlotta Gastaldi, Eamon Patrick O'Connor

In this work, we experimentally explore and compare FET gate stacks with and without an inner metal plane between a linear dielectric (SiO2) and a ferroelectric layer (Si-doped HfO2) operating in the negative capacitance (NC) regime. The use of nanosecond- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Design of a low-loss hybrid silicon-organic terahertz field detector

Ileana-Cristina Benea-Chelmus, Alessandro Tomasino, Francesco Bertot

We propose an innovative design for an integrated, low-loss on-chip terahertz (THz) field detector based on hybrid silicon-organic slot waveguides and THz antennas. We perform a numerical study of the dependency of electro-optic interaction on geometrical ...

IEEE2022

Privacy in Retrieval, Computing, and Learning

Michael Christoph Gastpar

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Gökan May

Virtual metrology (VM) involves estimating a product's quality directly from production process data without physically measuring it. This enables the product quality of each unit of production to be monitored in real time, while preserving the process eff ...

TAYLOR & FRANCIS LTD2022

Quantification of influence of monitoring duration on measured traffic action effects on fatigue of RC deck slabs of road bridges

Eugen Brühwiler, Bartlomiej Wojciech Sawicki

The safety of existing bridges may be assessed using data from monitoring. The fatigue damage induced during observation period is extrapolated to the total service duration of a structure, and the reserve capacity is estimated. However, due to the randomn ...

2022

Seismic performance of steel columns interacting with embedded column bases while exhibiting inelastic deformations

Dimitrios Lignos, Hiroyuki Inamasu

Observations from past earthquakes indicate that embedded column bases (ECBs) in steel moment resisting frames (MRFs) exhibited inelastic deformations while they were designed to be non-dissipative. Consequently, the amount of inelastic damage concentrated ...

ELSEVIER SCI LTD2022

Experimental investigation of surface roughness effect on a free-flight sphere in a Ludwieg tube

Seong-Hyeon Park

Understanding the aerodynamic coefficients of meteoroid fragments, deorbiting space debris, or launch vehicle stages through atmospheric reentry is essential for ground risk assessments. In high enthalpy flow, surface roughness is a crucial factor affectin ...

KOREAN SOC MECHANICAL ENGINEERS2022

Design and Automation for Quantum Computation and Quantum Technologies

Giovanni De Micheli

Quantum computation is a promising field of research that will shift the computation paradigm for data and information processing with quantum parallelism. This Special Issue of the IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS (JETC ...

2022

Robust Isometric Non-Rigid Structure-From-Motion

Shaifali Parashar

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...

IEEE COMPUTER SOC2022

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Jean-Louis Scartezzini, Alina Ursula Rosa Walch, Federico Amato

With wind power providing an increasing amount of electricity worldwide, the quantification of its spatio-temporal variations and the related uncertainty is crucial for energy planners and policy-makers. Here, we propose a methodological framework which (1 ...

SPRINGER2022

Ozone disinfection of waterborne pathogens and their surrogates: A critical review

Urs von Gunten

Viruses, Giardia cysts, and Cryptosporidium parvum oocysts are all major causes of waterborne diseases that can be uniquely challenging in terms of inactivation/removal during water and wastewater treatment and water reuse. Ozone is a strong disinfectant t ...

PERGAMON-ELSEVIER SCIENCE LTD2022