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Resource Efficiency vs Performance Isolation Tradeoff in Network Slicing 21

Resource Efficiency vs Performance Isolation Tradeoff in Net...

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21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023

作者： Nikolaidis, Panagiotis Zoulkarni, Asim Baras, John Department of Electrical & Computer Engineering The Institute for Systems Research University of Maryland College ParkMD20742 United States

ISBN: (纸本)9783903176553

We consider the tradeoff between resource efficiency and performance isolation that emerges when multiplexing the resource demands of Network Slices (NSs). On the one hand, multiplexing allows the use of idle resources, which increases resource efficiency. On the other hand, the performance of each NS becomes susceptible to traffic surges in other NSs, which degrades performance isolation. The analysis of this tradeoff enables network operators to determine the effect of performance isolation on the operating cost of each NS. To study the tradeoff, we solve an optimization problem where we find the multiplexing policy that requires the least provisioned resources to honor the Service Level Agreements (SLAs) of all NSs. The SLA of each NS i states that its resource demand should be met for PiH fraction of time, and for PiL ≤ PiH fraction of time, it should be met regardless of the demands of other NSs. For resource demands that follow ergodic Markov chains, we show that the well-known Max-Weight scheduler is an optimal multiplexing policy. Since the Max-Weight scheduler does not require any knowledge of the statistics of the resource demands, we also propose its use in non-markovian settings. For resource demands obtained in the LTE module of ns-3, we show that the Max-Weight scheduler reduces the provisioned bandwidth by 36.2% when no performance isolation is required. Lastly, for these non-markovian resource demands, the Max-Weight scheduler maintains its optimality since it requires as much provisioned bandwidth as the best non-causal scheduler. © 2023 IFIP.

关键词： Bandwidth

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Temporal Sensitivity Analysis of Internal Temperature Informed Charging Algorithms and Rapid Thermal Management System for E-mobility

Temporal Sensitivity Analysis of Internal Temperature Inform...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Samanta, Akash Chetri, Chandan Karnehm, Dominic Neve, Antje Williamson, Sheldon Ontario Tech University Department of Electrical Computer and Software Engineering Oshawa Canada Bundeswehr University Munich Institute of Intelligent Distributed Systems Neubiberg Germany

ISBN: (纸本)9798350376067

The experimental studies presented in this paper reveal that existing thermal management systems (TMS) and temperature-informed charging algorithms exhibit a response time lag of at least 5.3 minutes due to their reliance on surface temperature measurements. The results indicate that changes in the internal thermal state of lithium-ion batteries (LIBs), induced by variations in charging currents, take an average of 2 minutes to manifest on the battery surface, particularly evident in cylindrical cells. Current thermal management systems for automotive battery packs solely rely on surface temperature measurements, neglecting the approximately 5.8°C temperature difference between the core and surface in TMS control. Consequently, changes in the battery's thermal state due to internal heat losses are not promptly detected by surface-mounted temperature sensors. This delayed response time accelerates battery degradation and increases the risk of thermal runaway events. In this study, temperature-informed fast charging algorithms, tested under various ambient conditions for LIBs, along with a comparative analysis, demonstrate that response time can be reduced by at least 2 minutes by considering internal temperature rather than relying solely on surface temperature measurements. Moreover, accounting for the temperature difference between the core and surface facilitates rapid TMS control and health-conscious fast charging, thereby mitigating the risk of thermal runaway events. © 2024 IEEE.

关键词： Surface measurement

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Improving Information Freshness in Edge-Assisted Smart Grids: An AoI-Aware Routing Strategy for Neighborhood Area Networks 22

Improving Information Freshness in Edge-Assisted Smart Grids...

引用

22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Farag, Hossam Kotb, Mostafa Stefanović, Čedomir Gidlund, Mikael Department of Electronic Systems Aalborg University Denmark Department of Informatics Universität Hamburg Germany Department of Electrical Engineering Aswan University Egypt Mathematics Department Aswan University Egypt Department of Computer and Electrical Engineering Mid Sweden University Sweden

ISBN: (纸本)9798331527471

The integration of edge controllers into smart grid infrastructures facilitates advanced functionalities and high responsiveness, thereby bolstering the overall efficiency of the energy grid. The freshness of the sensing information received at the edge controller, captured by the Age of Information (AoI) metric, is vital to maintain system stability, where outdated information may lead to incorrect responses to grid conditions, potentially causing inefficiencies or system disruptions. However, the timeliness of the transmitted updates is mainly compromised by the delay and congestion within the routing links in the Neighborhood Area Network (NAN). In this work, we develop an intelligent routing strategy to improve the AoI of the Routing Protocol for Low-power and lossy networks (RPL), which is the common routing protocol for smart grids. Our proposed method is based on an AoI-aware parent selection mechanism, by which a node becomes attached to the parent with the highest probability of delivering a packet within a predefined AoI threshold. The prediction is made based on a supervised machine learning model, trained using the collection of heterogeneous routing metrics. The performance of the proposed method is evaluated via extensive discrete-event simulations and the results show its potency to improve the peak AoI and the AoI violation probability compared to the standard RPL. © 2024 IEEE.

关键词： Edge computing

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Improving the Area-Delay Tradeoff for Academic FPGA Architectures by Applying Rent's Rule to Logic Block Modeling 33

Improving the Area-Delay Tradeoff for Academic FPGA Architec...

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33rd International Scientific Conference Electronics, ET 2024

作者： Minev, Petar Kukenska, Valentina Dinev, Matyo Varbov, Ilian Technical University of Gabrovo Faculty of Electrical Engineering and Electronics Department of Computer Systems and Technologies 4 H. Dimitar str Gabrovo5300 Bulgaria

ISBN: (纸本)9798350376449

This paper presents a study on the effect of using a smaller number of inputs in the FPGA logic block calculated according to a pre-compiled model based on Rent's rule. This rule, when applied to the FPGA logic block with a logic block crossbar, allows for the reduction of the size of its multiplexers, thereby reducing its area and the delays in the switching circuits. The study uses a set of benchmark circuits, which are implemented in FPGA architectures with predefined parameters. The obtained results allow for comparing the architectures based on the total area and the critical path delays of the benchmark circuits. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Model-based Loss Minimization Control of a Squirrel cage Induction Motor Drive with shorted Rotor under Indirect Field Orientation

Model-based Loss Minimization Control of a Squirrel cage Ind...

引用

2023 IEEE Conference on Control Technology and Applications, CCTA 2023

作者： Olajube, Ayobami Anubi, Olugbenga Moses Florida State University FAMU-FSU College of Engineering Center for Advanced Power Systems Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350335446

This paper presents the development of an energy saving scheme via indirect field oriented control (IFOC) at the optimum operating region. A model-based steady state power loss analysis is carried out to determine the optimal speed and the optimal rotor flux that will serve as reference for the speed and torque tracking control. IFOC ensures the decoupled control of the torque and flux components of the stator current in a similar version as in DC drives through rotor flux orientation. The need for multiple sensors is eliminated by the analytical loss model approach, leading to an appreciable cost reduction. PI controller is used for the independent control of the flux and the torque producing components of the stator current. This is done at steady state, using the optimal rotor flux and speed computed in a loss minimization algorithm. The gains for optimum performance of the PI controller is selected via genetic algorithm (GA) optimization technique. The developed scheme is validated via a realistic numerical simulation and, the shorted rotor induction machine shows a very efficient speed and torque tracking performance at various load conditions and speed settings. © 2023 IEEE.

关键词： Induction machine

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Consensus-Based Leader-Follower Formation Tracking for Control-Affine Nonlinear Multiagent systems 9

Consensus-Based Leader-Follower Formation Tracking for Contr...

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9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Enwerem, Clinton Baras, John S. Institute for Systems Research University of Maryland Department of Electrical & Computer Engineering College ParkMD20742 United States

ISBN: (纸本)9798350311402

In the typical multiagent formation tracking problem centered on consensus, the prevailing assumption in the literature is that the agents' nonlinear models can be approximated by integrator systems, by their feedback-linearized equivalents, or by dynamics composed of deterministic linear and nonlinear terms. The resulting approaches associated with such assumptions, however, are hardly applicable to general nonlinear systems. To this end, we present consensus-based control laws for multiagent formation tracking in finite-dimensional state space, with the agents represented by a more general class of dynamics: control-affine nonlinear systems. The agents also exchange information via a leader-follower communication topology modeled as an undirected and connected graph with a single leader node. By leveraging standard tools from algebraic graph theory and Lyapunov analysis, we first derive a locally asymptotically stabilizing formation tracking law. Next, to demonstrate the effectiveness of our approach, we present results from numerical simulations of an example in robotics. These results - together with a comparison of the formation errors obtained with our approach and those realized via an optimization-based method - further validate our theoretical propositions. © 2023 IEEE.

关键词： Multi agent systems

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ChromaSense-Empowering Health, Empowering You

ChromaSense-Empowering Health, Empowering You

引用

2023 IEEE Biomedical Circuits and systems Conference, BioCAS 2023

作者： Durbha, Ravi Koomson, Valencia Tufts University Advanced Integrated Circuits & Systems Lab Department of Electrical & Computer Engineering MedfordMA United States

ISBN: (纸本)9798350300260

Wearable devices have transformed from novelties into indispensable companions for millions, finding applications in health and wellness, empowering individuals to proactively manage their well-being. Among these, pulse oximeters play a vital role in detecting health issues like hypoxemia. Yet, traditional oximeters struggle with accuracy in individuals with darker skin tones and lack multi-vital sign monitoring using Photoplethysmogram (PPG) signals. Addressing these challenges, we introduce ChromaSense, a Skintone Compensated Pulse Oximeter (SCPO) equipped with advanced sensors and intelligent algorithms. It aims to provide precise oxygen saturation readings for all skin tones, ensuring equitable access to quality healthcare. By addressing pulse oximetry disparities, ChromaSense seeks to enhance patient outcomes, promote inclusivity in healthcare, revolutionize medical diagnostics and treatment, and drive a patient-centered healthcare transformation. © 2023 IEEE.

关键词： Accessible healthcare Business Canvas model Chronic health patient-centric diagnosis Photoplethysmogram Pulse Oximeter Purpose Launchpad radar Tele-medicine Value Preposition

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Selective Secondary Phase-Shift Control for High Gain in LLC Converters with Matrix Transformers

Selective Secondary Phase-Shift Control for High Gain in LLC...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Prakash, Pranav Raj Li, Qiang Virginia Polytechnic Institute and State University Center for Power Electronics Systems The Bradley Department of Electrical and Computer Engineering BlacksburgVA24061 United States

ISBN: (纸本)9798350376067

Many applications such as datacenters and electric vehicles require well-regulated isolated DC-DC power converters. However, these often require high voltage gains for a wide input voltage range or when the input supply is lost. Although resonant converters, especially LLC converters, are great candidates for such dc-dc converters, their performance at the nominal operating conditions must be sacrificed to enable the converter to reach high gain levels with the conventional frequency modulation. Matrix transformers are commonly employed to distribute the high output currents evenly among the different elemental transformers. This paper proposes a control method to utilize matrix transformers to achieve high gains while operating at the resonant frequency. One or more secondary rectifiers (SRs) can be phase-shifted with respect to the other SRs to create periods where the transformer windings are partially shorted, resulting in a precise boost to the resonant tank energy, and hence, the resonant tank gain. This technique is implemented on a 400 V/12 V LLC converter for datacenters that requires high transformer gains during the hold-up period. © 2024 IEEE.

关键词： Phase shift

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AI-Enabled Smart Hybrid Energy Optimization Management System for Green Hydrogen-Based Islanded Microgrids 6

AI-Enabled Smart Hybrid Energy Optimization Management Syste...

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6th IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2024

作者： Mohamed, Noor El-Deen M. El Zoghby, Helmy M. Abdelhakam, Mostafa M. Elmesalawy, Mahmoud M. Helwan University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt Helwan University Department of Electrical Power and Machines Engineering Cairo Egypt Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt

ISBN: (纸本)9798350378511

Renewable hybrid energy systems are crucial for ensuring energy sustainability. This work presents an advanced control and management system for green hydrogen production, leveraging artificial intelligence (AI) and Internet of Things (IoT) technologies. The system optimizes renewable energy utilization, improves hydrogen production efficiency, and ensures a reliable energy supply to meet varying demands. AI algorithms are used, including Random Forest, Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks to forecast photovoltaic (PV) energy production and load consumption. These models are integrated into a centralized control system that dynamically adjusts energy distribution between immediate consumption and hydrogen production. Using data from the Rye microgrid, the system's effectiveness is demonstrated in enhancing decision-making for energy management in small-scale islanded operations. © 2024 IEEE.

关键词： Clean energy

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Shared Information for the Cliqueylon Graph

Shared Information for the Cliqueylon Graph

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Bhattacharya, Sagnik Narayan, Prakash University of Maryland The Department of Electrical and Computer Engineering The Institute for Systems Research College ParkMD20742 United States

ISBN: (纸本)9781665475549

Shared information is a measure of mutual dependence among m=2 jointly distributed discrete random variables. A new undirected probabilistic graphical model, a cliqueylon graph, is introduced, with potential applications in leader-follower swarms and neuron clusters with correlations of varying strength. Shared information is characterized explicitly for the cliqueylon, relying on structural properties of an underlying optimization. Implications for the data compression problem of omniscience are highlighted. © 2023 IEEE.

关键词： Graphic methods

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