Publications related to IEEE 1394

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Olga Fink, Mina Montazeri

Finding optimal bidding strategies for generation units in electricity markets would result in higher profit. However, it is a challenging problem due to the system uncertainty which is due to the lack of knowledge of the strategies of other generation uni ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals

Martin Vetterli, Adam James Scholefield, Karen Adam

In event-based sensing, many sensors independently and asynchronously emit events when there is a change in their input. Event-based sensing can present significant improvements in power efficiency when compared to traditional sampling, because (1) the out ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Evading Voltage-Based Intrusion Detection on Automotive CAN

Mathias Josef Payer, Duo Xu, Rohit Bhatia

The controller area network (CAN) is widely adopted in modern automobiles to enable communications among in-vehicle electronic control units (ECUs). Lacking mainstream network security capabilities due to resource constraints, the CAN is susceptible to the ...

INTERNET SOC2021

Quench Simulation of REBCO Cable-in-Conduit Conductor With Twisted Stacked-Tape Cable

Pierluigi Bruzzone, Kamil Sedlák, Davide Uglietti, Rainer Wesche

Quench protection is a critical issue for magnet using high-temperature superconducting (HTS) materials such as REBCO. For cable-in-conduit conductor (CICC) with twisted REBCO tapes, which is considered for high-current HTS conductor for fusion magnet, the ...

2020

MORPHIC: Programmable photonic circuits enabled by silicon photonic MEMS

Niels Quack, Hamed Sattari, Alain Yuji Takabayashi, Banafsheh Abasahl

In the European project MORPHIC we develop a platform for programmable silicon photonic circuits enabled by waveguide-integrated micro-electro-mechanical systems (MEMS). MEMS can add compact, and low-power phase shifters and couplers to an established sili ...

SPIE-INT SOC OPTICAL ENGINEERING2020

Topology design of general tensegrity with rigid bodies

Yafeng Wang

This study presents a general approach to the topology design of tensegrities with rigid bodies. To the best of the authors' knowledge, all existing topology design methods of tensegrities focus on tensegrities that only consist of members carrying axial f ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Robust optimization of power grid with distributed generation and improved reliability

Amarasinghage Tharindu Dasun Perera, Zhengchao Wang

Uncertainties of demand, generation and component outage can lead to black-outs in the grid. This study proposes an optimization algorithm (based on Benders Decomposition (BD)) to optimize a Power Transmission System (PTS) that is robust to aforementioned ...

ELSEVIER SCIENCE BV2019

Low EMI signaling for parallel conductor interfaces

Mohammad Amin Shokrollahi, Nicolae Chiurtu

Methods are disclosed for creation of vector signaling codes having reduced or minimized electromagnetic emissions when transmitted over multiple conductor communications media such as microstrip channels. Particular code formulation constraints are shown ...

2016

A consensus algorithm for networks with process noise and quantization error

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval ...

IEEE2015

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IEEE 1394

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals

Evading Voltage-Based Intrusion Detection on Automotive CAN

Quench Simulation of REBCO Cable-in-Conduit Conductor With Twisted Stacked-Tape Cable

MORPHIC: Programmable photonic circuits enabled by silicon photonic MEMS

Topology design of general tensegrity with rigid bodies

Robust optimization of power grid with distributed generation and improved reliability

Low EMI signaling for parallel conductor interfaces

Plug-and-Play Voltage and Frequency Control of Islanded Microgrids With Meshed Topology

A consensus algorithm for networks with process noise and quantization error

Graph Chatbot

Chat with Graph Search

MORPHIC: Programmable photonic circuits enabled by silicon photonic MEMS

Topology design of general tensegrity with rigid bodies

Low EMI signaling for parallel conductor interfaces

Plug-and-Play Voltage and Frequency Control of Islanded Microgrids With Meshed Topology

Robust optimization of power grid with distributed generation and improved reliability

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Evading Voltage-Based Intrusion Detection on Automotive CAN

Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals

Quench Simulation of REBCO Cable-in-Conduit Conductor With Twisted Stacked-Tape Cable

A consensus algorithm for networks with process noise and quantization error