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15th International conference on Cloud Computing and Services Science, CLOSER 2025

作者： Takahashi, Keichi Hayami, Tomonori Mukaizono, Yu Teramae, Yuki Date, Susumu D3 Center University of Osaka Osaka Japan

ISBN: (纸本)9789897587474

mdx ii is an Infrastructure-as-a-Service (IaaS) cloud platform designed to accelerate data science research and foster cross-disciplinary collaborations among universities and research institutions in Japan. Unlike traditional high-performance computing systems, mdx ii leverages OpenStack to provide customizable and isolated computing environments consisting of virtual machines, virtual networks, and advanced storage. This paper presents a comprehensive performance evaluation of mdx ii, including a comparison to Amazon Web Services (AWS). We evaluated the performance of a 16-vCPU VM from multiple aspects including floating-point computing performance, memory throughput, network throughput, file system and object storage performance, and real-world application performance. Compared to an AWS 16-vCPU instance, the results indicated that mdx ii outperforms AWS in many aspects and demonstrated that mdx ii holds significant promise for high-performance data analytics (HPDA) workloads. We also evaluated the virtualization overhead using a 224-vCPU VM occupying an entire host. The results suggested that the virtualization overhead is minimal for compute-intensive benchmarks, while memory-intensive benchmarks experienced larger overheads. These findings are expected to help users of mdx ii to obtain high performance for their data science workloads and offer insights to the designers of future data-centric cloud platforms. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Data Science

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Assessment of a Dynamic Event-Triggered Voltage control for Islanded Microgrids using High-fidelity Cyber-Physical Platform

Assessment of a Dynamic Event-Triggered Voltage Control for ...

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International conference on Smart Energy systems and Technologies (SEST) - Driving the Advances for Future Electrification

作者： Andreotti, Amedeo Caiazzo, Bianca Leccese, Sara Petrillo, Alberto Santini, Stefania Vaccaro, Alfredo Univ Naples Federico II DIETI Naples Italy Univ Sannio Dept Engn Benevento Italy

ISBN: (纸本)9798350386509;9798350386493

Distributed control over networks in modern power systems poses several challenges in terms of communication resources and validation in a high-fidelity cyber-physical environment. To this aim, this paper shows an assessment analysis of a novel distributed Dynamic Event-Triggered control strategy, recently introduced in the technical literature, for voltage regulation in inverter-based islanded Microgrids on a high-fidelity real-time simulation platform, accurately implemented via MATLAB/SimPowersystems environment and Speedgoat Real-Time Target Machine, thus providing insights into its real-world applicability and performance. Moreover, a wide range of off-normal conditions for the islanded Microgrids are emulated, to validate the effectiveness and the resilience of the control strategy. Finally, the latin hypercube sampling approach is exploited for the assessment of the control performance under several systems parameters uncertainties/variations, as well as for all the possible combinations of them.

关键词： Secondary Voltage control Islanded Microgrids Distributed control Cyber-physical energy systems Event-Triggered control

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Model Predictive Power control Strategy for Multiport Magnetic network Energy Routers 6

Model Predictive Power Control Strategy for Multiport Magnet...

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6th International conference on Circuits and systems

作者： Zhao, Yi Deng, Fujin Yin, Zheng Abulanwar, Sayed Southeast Univ Sch Elect Engn Nanjing Peoples R China Mansoura Univ Fac Engn Elect Engn Dept Mansoura 35516 Egypt

ISBN: (纸本)9798350352153;9798350352160

Magnetic network energy router (MNER) has the advantages of high transmission efficiency and high-power quality in distributed energy consumption. Traditional proportional-integral (PI) control applied to MNER converters exhibits slow dynamic response and insufficient multi-objective control capability. To solve this problem, a model predictive power control (MPPC) strategy is proposed in this paper for MNER converter, which can achieve the free flow of power between different ports, has better dynamic performance than PI control. Simulation results demonstrate the effectiveness of the proposed MPPC strategy.

关键词： Magnetic network energy router (MNER) model predictive power control (MPPC) active power transmission

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An Efficient Neural network controller for Autonomous Lane-Keeping Assist System 37

An Efficient Neural Network Controller for Autonomous Lane-K...

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37th International conference on VLSI Design (VLSID) / 23rd International conference on Embedded systems (ES)

作者： Mallik, Debanjan Ghosh, Sumana Jadavpur Univ Kolkata India Indian Stat Inst Kolkata Kolkata India

ISBN: (纸本)9798350384406

With the advent of new technologies and hardware, the importance and demand for autonomous vehicles are also increasing nowadays. For the safe deployment of these autonomous vehicles, efficient and reliable control techniques are very crucial. Classical control techniques encounter difficulties in accommodating various intricate real-world driving situations, hence, fail to properly control them. Moreover, since a major part of the underlying feedback control computation includes heavy vision computation tasks, classical control techniques are falling short in controlling them properly due to the delay coming from this lengthy vision computation. To overcome this, data-driven approaches are being used in many applications. This research work particularly addresses the challenge of controlling an autonomous lane-keeping assist system leveraging the power of neural networks (NN). The aim of the proposed NN-based controller is to enhance the precision and robustness of the lane-keeping assist system. The NN-based controller demonstrates promising results with respect to some state-of-the-art methodologies, offering hope for safer and more effective autonomous driving in dynamic environments.

关键词： Autonomous Vehicles Lane Keeping Assist systems Neural network controller control performance

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On the Importance of Trust in Next-Generation networked Cyber-Physical systems

On the Importance of Trust in Next-Generation Networked Cybe...

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International conference on Computing, networking and Communications (ICNC)

作者： Torkzaban, Nariman Gholami, Anousheh Baras, John S. Institute for Systems Research Department of Electrical & Computer Engineering United States

ISBN: (纸本)9798350371000;9798350370997

With 5G and beyond promises to realize massive machine-type communications, a wide range of applications have driven interest in complex heterogeneous networked systems, including multi-agent optimization, large-scale distributed learning, 5G service provisioning, etc. This trend highlights the essence of seamless control, management, and security mechanisms to be in place for the next-generation networked cyber-physical systems (CPS). In this paper, we interpret trust as a relation among networked collaborating entities that can set forth a measure for evaluating the status of network components and secure the execution of the collaborative protocol. In this paper, we will first elaborate on the importance of trust as a metric and then present a mathematical framework for trust computation and aggregation within a network. We consider two use-case examples where trust can be incorporated into the next-generation networked CPS and improve the security of decision-making, i.e. i) federated learning (FL), and ii) network resource provisioning. Finally, we explain the challenges associated with aggregating the trust evidence and briefly explain our ideas to tackle them.

关键词： Cyber-physical systems trust model trusted federated learning trusted network service placement

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ReDeSIGN: Reuse of Debug Structures for Improvement in performance Gain of NoC Based MPSoCs

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 2023年第2期11卷 432-447页

作者： Rout, Sidhartha Sankar Badri, M. Sinha, Mitali Deb, Sujay Indraprastha Inst Informat Technol Delhi Dept Elect & Commun Engn Delhi 110020 India Indraprastha Inst Informat Technol Delhi Dept Comp Sci & Engn Delhi 110020 India

network-on-Chip (NoC) is considered as a scalable interconnect medium for Multiprocessor System-on-Chip (MPSoC) due to its ability to provide high bandwidth and low latency communication. With the increasing intricacy of the modern-day systems, the state-of-the-art NoCs are becoming extremely complex. Design-for-Debug (DFD) structures are integrated to the system for the validation of such complex modules during post-silicon debug. However, after the system validation and mass production, the DFD hardware remains vestigial on the design. In this context, we propose ReDeSIGN, a framework to reuse the DFD infrastructure during the in-field operation for performance enhancement of the NoC-based MPSoCs. Major contributions of our work include reuse of (i) trace buffer as extended Virtual Channel (VC) for network throughput improvement, (ii) trace prioritization hardware for critical data prioritization, and (iii) packet monitor module for packet starvation control. Experimental evaluations with real benchmarks show an average of 11.46% increase in network throughput, 34.93% decrease in critical data latency, and 19.17% decrease in packet starvation for an 8x8 homogeneous system.

关键词： Data prioritization debug structure reuse design-for-debug (DFD) network-on-chip (NoC) post-silicon debug system validation starvation control trace buffer virtual channel (VC)

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Securing FACTS-Based Wide Area Damping controllers Using Modified Conditional Generative Adversarial networks

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IEEE TRANSACTIONS ON SMART GRID 2025年第2期16卷 1817-1832页

作者： Vavdareh, Masoud Babaei Ghafouri, Mohsen Ameli, Amir Concordia Univ Concordia Inst Informat Syst Engn Montreal PQ H3G 1M8 Canada Lakehead Univ Elect Engn Dept Thunder Bay ON P7B 5E1 Canada

The performance of wide-area damping controllers (WADCs) heavily depends on the accuracy and authenticity of the measurements received from phasor measurement units (PMUs). These controllers receive PMU data and send the control commands back to grid actuators, e.g., flexible AC transmission systems (FACTS) devices. The use of cyber systems required for transferring PMU measurements, however, makes the controller and entire power system prone to a variety of cyber attacks, e.g., false data injection attacks (FDIAs). On this basis, this paper (i) proposes an FDIA model against FACTS-based WADCs and (ii) develops detection and mitigation methods for the proposed attacks. First, FDIAs are designed to destabilize the system, considering realistic limitations on the power grids. Then, a modified conditional generative adversarial network (MCGAN) is utilized for the detection and mitigation of these FDIAs. To detect this attack, a detector is developed from the discriminator of MCGAN, using the fine-tuning technique. The use of this proposed method enhances detection performance in imbalanced datasets and effectively identifies unseen high-risk attacks. Following the detection, a mitigation method is implemented based on the coordination of a graph-based interpolation and the tuned generator of the developed MCGAN. This method effectively mitigates the impact of the FDIAs on the FACTS-based WADCs. The effectiveness of the attack model, as well as the detection and mitigation methods, is assessed using the two-area Kundur and New England 39-Bus test systems.

关键词： Prevention and mitigation Phasor measurement units Vectors Generative adversarial networks Power system stability Power grids Damping Voltage control Security Protocols WADCs FDIA FACTS fine-tuning detection mitigation MCGAN

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Static Synchronous Compensator (STATCOM) Based Neural network to Reducing System Oscillations and Improving Dynamic System performance 21

Static Synchronous Compensator (STATCOM) Based Neural Networ...

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21st International Multi-conference on systems, Signals and Devices, SSD 2024

作者： Ahmed, Raghad Hameed Said Nouri, Ahmed Middle Technical University Department of Technical Electronic Baghdad Iraq Laboratoire CONPRi - ENIG Gabès École Nationale d'Ingénieurs Sfax Tunisia

ISBN: (纸本)9798350374131

The stability of the electrical network is considered a major challenge in the development of energy systems based on various sources. This research provides a comparison of the dynamic performance of FACTS devices such as STATCOM. These techniques, which are integrated stability devices with a multi-source power system, are used. The neural network technology unit is used to control FACTS devices to enhance the performance of power sources under abnormal and different conditions. Testing is conducted under conditions of three-phase short circuit to ground at different locations in the system. MATLAB/Simulink is used for modeling and simulation. The obtained results demonstrate the impact of the control unit based on STATCOM in reducing system oscillations and improving dynamic system performance during the post-fault period. The confirms the superior dynamic performance and quick fault recovery of the control unit. © 2024 IEEE.

关键词： Static synchronous compensators

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Learning Optimal Antenna Tilt control Policies: A Contextual Linear Bandits Approach

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2024年第12期23卷 12666-12679页

作者： Vannella, Filippo Proutiere, Alexandre Jedra, Yassir Jeong, Jaeseong Ericsson Res S-16483 Stockholm Sweden KTH Royal Inst Technol Div Decis & Control Syst S-11428 Stockholm Sweden MIT Lab Informat & Decis Syst Cambridge MA 02139 USA

controlling antenna tilts in cellular networks is critical to achieve a good trade-off between network coverage and capacity. We devise algorithms learning optimal tilt control policies from existing data (passive learning setting) or from data actively generated by the algorithms (active learning setting). We formalize the design of such algorithms as a Best Policy Identification problem in Contextual Linear Bandits (CLB). In CLB, an action represents an antenna tilt update;the context captures current network conditions;the reward corresponds to an improvement of performance, mixing coverage and capacity. The objective is to identify an approximately optimal policy (a function mapping the context to an action with maximal reward). For both active and passive learning, we derive information-theoretical lower bounds on the number of samples required by any algorithm returning an approximately optimal policy with a given level of certainty, and devise algorithms achieving these fundamental limits. We apply our algorithms to the Remote Electrical Tilt optimization problem in cellular networks, and show that they can produce optimal tilt update policy using much fewer data samples than naive or existing rule-based learning algorithms. This paper is an extension of work presented at IEEE International conference on Computer Communications (INFOCOM) 2022 (Vannella et al. 2022).

关键词： Antennas Optimization Approximation algorithms Interference Mobile computing control systems Context modeling Antenna tilt optimization coverage capacity optimization best policy identification contextual linear bandits

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Combining Dynamic Deterministic Latency Bounds and networked control systems

Combining Dynamic Deterministic Latency Bounds and Networked...

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2024 IEEE International performance, Computing, and Communications conference, IPCCC 2024

作者： Laidig, Robin Herrmann, Jona Augustat, David Durr, Frank Rothermel, Kurt University of Stuttgart IPVS Stuttgart Germany

ISBN: (纸本)9798350367942

Since network delays can severely impact networked control systems (NCS), both guaranteed Quality of Service (QoS) at the network level and guaranteed stability at the application level in the presence of delays are essential. The recently developed Dynamic Priority Token Bucket (DPTB) aims to meet network-level requirements through dynamic yet deterministic latency bounds that depend on the application's sending *** concept provides great potential for a combined design method with NCS controllers, which we propose in this paper. We design and implement two approaches that combine DPTB with (1) the well-known robust input/output (DPTB-RobustIO) controller to provide provable stability and (2) a novel multi-level linear quadratic regulator (DPTB-MLQR) to improve control *** the evaluation of the approaches, an Ethernet-based NCS with a Linux software switch and an inverted pendulum is used. This benchmark setup for fully automated evaluations of co-designs that combine network scheduling and QoS mechanisms with NCS controllers running on real hardware components is made available as an open source implementation. DPTB-RobustIO and DPTB-MLQR reduced the data rate by up to 26% and increased the control performance by 27% compared to regular token buckets with RobustIO control. © 2024 IEEE.

关键词： Pendulums

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