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Hybrid approaches that combine data-driven learning with physics-based insight have shown promise for improving the reliability of industrial condition monitoring. This work develops a hybrid condition monitoring framework that integrates…

Machine Learning · Computer Science 2026-04-14 Maryam Ahang , Todd Charter , Masoud Jalayer , Homayoun Najjaran

Agile beam management is key for providing seamless millimeter wave (mm-wave) connectivity given the site-specific spatio-temporal variations of the mm-wave channel. Leveraging non radio frequency (RF) sensor inputs for environment…

Signal Processing · Electrical Eng. & Systems 2024-05-03 Aleksandar Ichkov , Aron Schott , Niklas Beckmann , Ljiljana Simić

This study explores the promising potential of integrating sensing capabilities into multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM)-based networks through innovative multi-sensor fusion techniques,…

Signal Processing · Electrical Eng. & Systems 2023-12-13 Elia Favarelli , Elisabetta Matricardi , Lorenzo Pucci , Wen Xu , Enrico Paolini , Andrea Giorgetti

Automatic modulation recognition (AMR) is a crucial step in wireless communication systems, which identifies the modulation scheme from detected signals to provide key information for further processing. However, previous work has mainly…

Signal Processing · Electrical Eng. & Systems 2025-12-01 Yunpeng Qu , Yazhou Sun , Bingyu Hui , Jian Wang

We propose and implement a novel fibre sensing control device and associated sensing control plane that effectively controls backscatter and polarization-based fibre sensing. We experimentally demonstrate in a fibre network that this device…

Systems and Control · Electrical Eng. & Systems 2023-10-10 Mijail Szczerban , Mikael Mazur , Lauren Dallachiesa , Haïk Mardoyan , Sarvesh Bidkar , Roland Ryf , Jesse Simsarian

Calibration of sensors is a fundamental step to validate their operation. This can be a demanding task, as it relies on acquiring a detailed modelling of the device, aggravated by its possible dependence upon multiple parameters. Machine…

In this paper, we show an approach to build deep learning algorithms for recognizing signals in distributed fiber optic monitoring and security systems for long perimeters. Synthesizing such detection algorithms poses a non-trivial research…

Computer Vision and Pattern Recognition · Computer Science 2016-10-04 A. V. Makarenko

The development and operation of smart cities relyheavily on large-scale Internet-of-Things (IoT) networks and sensor infrastructures that continuously monitor various aspects of urban environments. These networks generate vast amounts of…

Networking and Internet Architecture · Computer Science 2025-02-10 Hrishikesh Dutta , Roberto Minerva , Maira Alvi , Noel Crespi

We propose a magnetometer for the precise measurement of AC magnetic fields that uses a Terbium-doped optical fiber with half-waveplates built into it at specified distances. Our scheme uses an open-loop quantum control technique called…

Quantum Physics · Physics 2018-07-25 Manish K. Gupta , Jonathan Kunjummen , Xiaoting Wang , Jonathan P. Dowling

We propose a device that can take an arbitrary monochromatic input beam and couple it into a single-mode guide or beam. Simple feedback loops from detectors to modulator elements allow the device to adapt automatically to any specific input…

Optics · Physics 2015-06-12 David A. B. Miller

Several site-testing programs and observatories currently use combined MASS-DIMM instruments for monitoring parameters of optical turbulence. The instrument is described here. After a short recall of the measured quantities and operational…

Astrophysics · Physics 2009-11-13 V. Kornilov , A. Tokovinin , N. Shatsky , O. Voziakova , S. Potanin , B. Safonov

Optical sensors offer precision, remote read-out, and immunity to electromagnetic interference but face adoption challenges due to complex and costly readout instrumentation, mostly based on high-resolution. This article challenges the…

In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint. A new trend of investigating massive MIMO, especially for the sparse scenario like…

Signal Processing · Electrical Eng. & Systems 2019-10-23 Mingjin Wang , Feifei Gao , Shi Jin , Hai Lin

We introduce a design for a tip-tilt sensor with integrated single-mode fiber coupling for use with the front-end prototype of the iLocater spectrograph at the Large Binocular Telescope to detect vibrations that occur within the optical…

Diverse applications in photonics and microwave engineering require a means of measurement of the instantaneous frequency of a signal. A photonic implementation typically applies an interferometer equipped with three or more output ports to…

Synergetic use of sensors for soil moisture retrieval is attracting considerable interest due to the different advantages of different sensors. Active, passive, and optic data integration could be a comprehensive solution for exploiting the…

Image and Video Processing · Electrical Eng. & Systems 2022-11-30 Reza Attarzadeh , Hossein Bagheri , Iman Khosravi , Saeid Niazmardi , Davood Akbarid

In the past few years, there is a renewed interest in using multimode fibers for a wide range of technologies such as communication, imaging and spectroscopy. Practical implementations of multimode fiber in such applications, however, are…

Optics · Physics 2023-03-24 Zohar Finkelstein , Kfir Sulimany , Shachar Resisi , Yaron Bromberg

The high-dimensionality and volume of large scale multistream data has inhibited significant research progress in developing an integrated monitoring and diagnostics (M&D) approach. This data, also categorized as big data, is becoming…

Machine Learning · Statistics 2018-12-27 Samaneh Ebrahimi , Chitta Ranjan , Kamran Paynabar

Smart Grid systems not only transport electric energy but also information which will be active part of the electricity supply system. This has led to the introduction of intelligent components on all layers of the electrical grid in power…

Systems and Control · Computer Science 2016-08-24 Mohammed S. Kemal , Rasmus L. Olsen

Microfluidic systems with integrated sensors are ideal platforms to study and emulate processes such as complex multiphase flow and reactive transport in porous media, numerical modeling of bulk systems in medicine, and in engineering.…