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IEEE Conference on Decision and Control

作者： Carlos Eduardo Celeste Junior Ilaria Di Loreto Theodore Wu Grunberg Maria Domenica Di Benedetto Alessandro Borri Domitilla Del Vecchio Department of Mechanical Engineering Department of Electrical and Information Engineering Palazzo Camponeschi University of L'Aquila L'Aquila Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Institute for Systems Analysis and Computer Science “A. Ruberti” National Research Council of Italy Rome Italy

Modular composition of systems through defined input/output interfaces is a wide-spread engineering approach that allows to make the design of complicated systems tractable. Although this approach has percolated to the design of synthetic genetic circuits, it has proved challenging to obtain predictable design outcomes. In particular, context-dependence due to sharing a limited pool of cellular resources is a major factor that confounds modular composition of genetic modules. Here, we propose the use of a systems framework in which resource sharing among different subsystems is explicitly modeled through disturbance inputs and outputs. Within this system description, resource sharing results in undesired connectivity among subsystems, which is explicitly accounted for in design. Accordingly, we propose to use this system framework to co-design stable systems, with constant input, based on steady state specifications that each subsystem should satisfy. To this end, we provide sufficient conditions on the system parameters such that the output of each subsystem in the network remains in a small interval around a desired value, as well as an algorithmic procedure to compute the feasible region for these parameters. In general, this framework can be used to design subsystems to satisfy a specification, while explicitly accounting for context-dependence.

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Efficient Estimation of the Human Circadian Phase via Kalman Filtering

Efficient Estimation of the Human Circadian Phase via Kalman...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chukwuemeka O. Ike John T. Wen Meeko M.K. Oishi Lee K. Brown A. Agung Julius Lighting Enabled Systems and Applications (LESA) Engineering Research Center Troy NY USA Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA Department of Internal Medicine University of New Mexico Albuquerque NM USA

Circadian rhythms play a vital role in maintaining a person’s well-being but remain difficult to quantify accurately. Numerous approaches exist to measure these rhythms, but they often suffer from performance issues on the individual level. This work implements a Steady-State Kalman Filter as a method for estimating the circadian phase shifts from biometric signals. Our framework can automatically fit the filter’s parameters to biometric data obtained for each individual, and we were able to consistently estimate the phase shift within 1 hour of melatonin estimates on 100% of all subjects in this study. The estimation method opens up the possibility of real-time control and assessment of the circadian system, as well as chronotherapeutic *** relevance— This establishes a near real-time alternative to melatonin measurements for the estimation of circadian phase shifts, with potential applications in feedback circadian control and chronotherapeutics

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Centralized Operation of Multi-Energy Microgrids

Centralized Operation of Multi-Energy Microgrids

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International Conference on Environment and electrical engineering (EEEIC)

作者： Ali Esmaeel Nezhad Mohammad Sadegh Javadi Pedro H.J. Nardelli Subham Sahoo Department of Electrical Engineering School of Energy Systems LUT University Lappeenranta Finland Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Energy Aalborg University Aalborg Denmark

This paper presents a centralized model for operating multi-energy microgrids. The proposed model is based on a linearized optimal power flow (OPF) model for handling the network constraints in the distribution networks. It is assumed that each local microgrid is self-sustaining and can be operated independently from the other microgrids. However, the network access provides more flexibility to the multi-energy microgrid operators to supply their loads. The network-based electrical energy transactions are accepted in this study, while energy transformation from electricity to the other carriers is an asset to minimize the overall operating cost of the centralized multi-energy microgrid operation. The proposed model is tested and verified on the modified IEEE 33-bus test system.

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electrical stimulation thresholds differ between V1 and V2

Electrical stimulation thresholds differ between V1 and V2

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sabrina Jade Meikle Tim John Allison-Walker Maureen Ann Hagan Nicholas Seow Chiang Price Yan Tat Wong Department of Physiology and Biomedicine Discovery Institute - Neuroscience Program Monash University Clayton VIC Australia Department of Electrical and Computer Systems Engineering Monash University Department of Engineering RMIT University

Cortical visual prostheses are designed to treat blindness by restoring visual perceptions through artificial electrical stimulation of the primary visual cortex (V1). Intracortical microelectrodes produce the smallest visual percepts and thus higher resolution vision - like a higher density of pixels on a monitor. However, intracortical microelectrodes must maintain a minimum spacing to preserve tissue integrity. One solution to increase the density of percepts is to implant and stimulate multiple visual areas, such as V1 and V2, although the properties of microstimulation in V2 remain largely unexplored. We provide a direct comparison of V1 and V2 microstimulation in two common marmoset monkeys. We find similarities in response trends between V1 and V2 but differences in threshold, neural activity duration, and spread of activity at the threshold current. This has implications for using multi-area stimulation to increase the resolution of cortical visual prostheses.

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Multi-Model Federated Learning Optimization Based on Multi-Agent Reinforcement Learning

Multi-Model Federated Learning Optimization Based on Multi-A...

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IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

作者： S. Kaveh Atapour S. Jamal Seyedmohammadi S. Mohammad Sheikholeslami Jamshid Abouei Arash Mohammadi Konstantinos N. Plataniotis Department of Computer & Electrical Engineering Tarbiat Modares University Tehran Iran Concordia Institute of Information Systems Engineering (CIISE) Montreal Canada The Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering University of Toronto Canada Department of Electrical Engineering Yazd University Yazd Iran

This paper addresses the problem of Multi-Model Federated Learning (MMFL) in a typical wireless network, where a cellular Base Station (BS) cooperates with multiple clients to simultaneously train several Machine Learning (ML) models. Accordingly, the objective of this paper is to make an efficient joint decision for client association and communication-computation resource allocation to optimize the performance of the MMFL algorithm. In this regard, an optimization problem is formulated to minimize the average global loss of ML models under clients' energy and delay constraints. It is shown that the problem is a mixed-integer optimization whose objective is implicit in terms of the decision variables. To solve the optimization problem, we propose a Multi-Agent Multi-Model Federated Learning (MAMMFL) scheme based on a cooperative multi-agent configuration to intelligently assign models and resources to clients. Specifically, the problem is first converted to a Markov Decision Process (MDP) problem, then it is divided into four sub-MDP problems, where each problem relates to a phase in MMFL. The reinforcement learning algorithm solves each sub-problem, and a team-Q algorithm is adopted to coordinate agents in a cooperative multi-agent setting. Simulation results show that the proposed method can outperform other baselines in terms of average global loss and resource consumption.

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IoT Cloud Computing Middleware for crowd monitoring and evacuation

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International Journal of Circuits, systems and Signal Processing 2021年 15卷 1790-1802页

作者： Gazis, Alexandros Katsiri, Eleftheria Democritus University of Thrace Department of Electrical and Computer Engineering Xanthi67100 Greece Institute for the Management of Information Systems Athena Research & Innovation Center in Information Communication & Knowledge Technologies Marousi15125 Greece

Map-Reduce is a programming model and an associated implementation for processing and generating large data sets. This model has a single point of failure: the master, who coordinates the work in a cluster. On the contrary, wireless sensor networks (WSNs) are distributed systems that scale and feature large numbers of small, computationally limited, low-power, unreliable nodes. In this article, we provide a top-down approach explaining the architecture, implementation and rationale of a distributed fault-tolerant IoT middleware. Specifically, this middleware consists of multiple mini-computing devices (Raspberry Pi) connected in a WSN which implement the Map-Reduce algorithm. First, we explain the tools used to develop this system. Second, we focus on the Map-Reduce algorithm implemented to overcome common network connectivity issues, as well as to enhance operation availability and reliability. Lastly, we provide benchmarks for our middleware as a crowd tracking application for a preserved building in Greece (i.e., M. Hatzidakis’ residence). The results of this study show that IoT middleware with low-power and low-cost components are viable solutions for medium-sized cloud computing distributed and parallel computing centres. Potential uses of this middleware apply for monitoring buildings and indoor structures, in addition to crowd tracking to prevent the spread of COVID-19. © 2021, North Atlantic University Union NAUN. All rights reserved.

关键词： Middleware

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A Multi-layer Non-Terrestrial Networks Architecture for 6G and Beyond under Realistic Conditions and with Practical Limitations

arXiv

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arXiv 2025年

作者： Khennoufa, Faical Abdellatif, Khelil Yanikomeroglu, Halim Ozturk, Metin Elganimi, Taissir Kara, Ferdi Rabie, Khaled LGEERE Laboratory Department of Electrical Engineering Echahid Hamma Lakhdar University El-Oued Algeria Laboratory Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada Electrical and Electronics Engineering Ankara Yıldırım Beyazıt University Ankara Turkey The Department of Electrical and Electronic Engineering University of Tripoli Libya The Department of Computer Engineering Zonguldak Bulent Ecevit University Zonguldak Turkey Division of Communications Systems KTH Royal Institute of Technology Sweden The Department of Computer Engineering King Fahd University of Petroleum and Minerals Saudi Arabia

In order to bolster the next generation of wireless networks, there has been a great deal of interest in non-terrestrial networks (NTN), including satellites, high altitude platform stations (HAPS), and uncrewed aerial vehicles (UAV). To unlock their full potential, these platforms can integrate advanced technologies such as reconfigurable intelligent surfaces (RIS) and next-generation multiple access (NGMA). However, in practical applications, transceivers often suffer from radio frequency (RF) impairments, which limit system performance. In this regard, this paper explores the potential of multi-layer NTN architecture to mitigate path propagation loss and improve network performance under hardware impairment limitations. First, we present current research activities in the NTN framework, including RIS, multiple access technologies, and hardware impairments. Next, we introduce a multi-layer NTN architecture with hardware limitations. This architecture includes HAPS super-macro base stations (HAPS-SMBS), UAVs–equipped with passive or active transmissive RIS–, and NGMA techniques, like non-orthogonal multiple access (NOMA), as the multiple access techniques to serve terrestrial devices. Additionally, we present and discuss potential use cases of the proposed multi-layer architecture considering hardware impairments. The multi-layer NTN architecture combined with advanced technologies, such as RIS and NGMA, demonstrates promising results;however, the performance degradation is attributed to RF impairments. Finally, we identify future research directions, including RF impairment mitigation, UAV power management, and antenna designs. © 2025, CC0.

关键词： Unmanned aerial vehicles (UAV)

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Universal Energy Access: Enhancing Networked Rural Electrification Using Modified Fuzzy Inference Method

Universal Energy Access: Enhancing Networked Rural Electrifi...

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2022 IEEE Region 10 International Conference, TENCON 2022

作者： Li, Jerry C.F. Zimmerle, Daniel Young, Peter Colorado State University Department of Systems Engineering Fort CollinsCO United States Energy Institute Colorado State University Fort CollinsCO United States Colorado State University Department of Electrical and Computer Engineering Fort CollinsCO United States

ISBN: (数字)9781665450959

ISBN: (纸本)9781665450959

To achieve UN Sustainable Development Goal 7 (SDG7) by 2030, better rural electrification is required. Most current projects provide electricity inefficiently to rural users rather using stand-alone designs. As most remaining unserved users are located in difficult-to-reach areas, IEA has pointed out that the marginal cost of rural electrification is increasing. Earlier work indicates that networking rural villages would be more cost-effective than prior models. This work uses modified fuzzy inference to improve power distribution costs by improving the optimality of distribution network design. © 2022 IEEE.

关键词： Fuzzy inference

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Anisotropy of two-dimensional ReS_(2)and advances in its device application

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Rare Metals 2021年第12期40卷 3357-3374页

作者： Ya-Di Cao Ying-Hui Sun Su-Fei Shi Rong-Ming Wang Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface ScienceSchool of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing100083China Department of Chemical and Biological Engineering Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic InstituteTroyNY 12180USA

Two-dimensional(2D)transition metal dichalcogenides(TMDCs)have attracted growing interest regarding their potential applications in next-generation electronic and optoelectronic *** to their atomic thickness and tunable bandgap,they exhibit unique mechanical,electrical,and optical *** a specific member of the TMDC family,rhenium disulfide(ReS_(2))has stimulated intensive interest due to its anisotropic crystal structure,weak inter-layer coupling,and anisotropic electrical and optical *** this review,we summarize the distinct crystal structure and intrinsic anisotropic properties of ReS_(2),followed by an introduction to its synthesis *** current applications of ReS_(2)and its heterojunctions are presented based on its anisotropic *** review not only provides a timely summary of the current applications of ReS_(2)and its heterojunctions,but also inspires new approaches to develop other innovative devices based on 2D materials with a low lattice symmetry.

关键词： Transition metal dichalcogenides(TMDCs) Rhenium disulfide Anisotropic property Heterojunction Functional device

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On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description

arXiv

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arXiv 2024年

作者： Stamatelis, George Gavriilidis, Panagiotis Fakhreddine, Aymen Alexandropoulos, George C. Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece Institute of Networked and Embedded Systems University of Klagenfurt Austria Department of Electrical and Computer Engineering University of Illinois Chicago United States

In this paper, we study the problem of promptly detecting the presence of non-cooperative activity from one or more Reconfigurable Intelligent Surfaces (RISs) with unknown characteristics lying in the vicinity of a Multiple-Input Multiple-Output (MIMO) communication system using Orthogonal Frequency-Division Multiplexing (OFDM) transmissions. We first present a novel wideband channel model incorporating RISs as well as non-reconfigurable stationary surfaces, which captures both the effect of the RIS actuation time on the channel in the frequency domain as well as the difference between changing phase configurations during or among transmissions. Considering that RISs may operate under the coordination of a third-party system, and thus, may negatively impact the communication of the intended MIMO OFDM system, we present a novel RIS activity detection framework that is unaware of the distribution of the phase configuration of any of the non-cooperative RISs. In particular, capitalizing on the knowledge of the data distribution at the multi-antenna receiver, we design a novel online change point detection statistic that combines a deep support vector data description model with the scan B-test. The presented numerical investigations demonstrate the improved detection accuracy as well as decreased computational complexity of the proposed RIS detection approach over existing change point detection schemes. © 2024, CC BY.

关键词： Orthogonal frequency division multiplexing

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