In-network processing acoustic data for anomaly detection in smart factory

H Wu, Y Shen, X Xiao, A Hecker… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Modern manufacturing is now deeply integrating new technologies such as 5G, Internet-of-
things (IoT), and cloud/edge computing to shape manufacturing to a new level–Smart …

Computing meets network: Coin-aware offloading for data-intensive blind source separation

H Wu, Z Xiang, GT Nguyen, Y Shen, FHP Fitzek - IEEE Network, 2021 - ieeexplore.ieee.org
Computing in the network (COIN) exploits the sparce computing power of network nodes to
offload applications' computations. This paradigm benefits computation-demanding …

Accelerating industrial iot acoustic data separation with in-network computing

H Wu, Y Shen, X Xiao, GT Nguyen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Acoustic data from the Industrial Internet of Things (IIoT) are widely used in anomaly
detection because audio information reflects richer internal statuses of monitored working …

Y-net: A dual path model for high accuracy blind source separation

H Wu, J He, M Tömösközi… - 2020 IEEE Globecom …, 2020 - ieeexplore.ieee.org
Industrial IoT (IIoT) in conjunction with Ultra-Reliable Low-Latency Communications
(URLLC) often struggles with data-rich, information-poor contexts. Blind Source Separation …

High-Throughput Independent Component Analysis Processor for Full Duplex Systems

JH Cheng, TM Chang, CA Shen… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
This paper presents the algorithm and very-large-scale integration (VLSI) architecture of a
high-throughput and highly efficient independent component analysis (ICA) processor for …

Experimental Proof of the Energy Advantage of In-Network Intelligence

H Wu, M Tömösközi, R Bassoli, J Zhang… - 2022 International …, 2022 - ieeexplore.ieee.org
According to the current architectural visions, 6G is expected to host various new demanding
use cases like massive twinning, massive robots and cobots, and the Tactile Internet. This …

Anomaly detection using audio signals

S Margarit Jaile - 2020 - upcommons.upc.edu
Detecting anomalous behaviors in a specific environment is a challenge and a necessity,
since by detecting an anomaly we can soon avoid wasting time to solve a specific problem …