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IEEE ANDESCON

作者： Mohsen Hatami Morteza Azimi Nasab Yu Chen Javad Mohammadi Erika Ardiles Cruz Erik Blasch Dept. of Electrical & Computer Engineering Binghamton University Binghamton NY USA Civil Architectural and Env. Eng. The University of Texas at Austin Austin TX USA The U.S. Air Force Research Laboratory Rome NY USA

ISBN: (数字)9798350355284

ISBN: (纸本)9798350355291

The Internet of Smart Grid Things (IoSGT) is recognized as a promising solution to enhance smart grid (SG) ap-plications. Meanwhile, the strategic deployment and scheduling of Energy Storage System (ESS) capacity are crucial for enhancing the performance, resilience, and robustness of IoSG T ecosystems. To reduce peak loads, improve power profiles, and minimize losses in the system, this paper presents the ELOCESS (Effective Location and Optimal Capacity of the ESS) framework within the IoSG T architecture, showcasing innovative contributions to smart grid operations. Leveraging the Time Domain Power Flow (TDPF) alongside Complex-Valued Neural Networks (CVNN), ELOCESS accurately assesses and forecasts voltage fluctuations over time within the IoSGT. In addition, the Plant Growth Simulation Algorithm (PGSA) is adopted to compute the optimal storage location and capacity. Through extensive simulation studies on a standard 33-node network, the efficacy of the ELOCESS approach in identifying the precise location and size of battery storage systems is convincingly demonstrated, which shows an excellent result of optimization techniques by 97.32 %.

关键词： Voltage fluctuations Robustness Smart grids Batteries Internet Time-domain analysis Optimization Standards Resilience Load flow

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Is Universal Broadband Service Impossible?

arXiv

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arXiv 2022年

作者： Beck, Micah D. Moore, Terry R. Dept. of Electrical Engineering and Computer Science University of Tennessee Knoxville United States Innovative Computing Laboratory University of Tennessee Knoxville United States

Broadband Internet service is widely expected to be the fundamental universal service for the 21st century. But more than a decade of national and international struggles to close the "digital divide" between broadband haves and have nots suggest that reaching global universality will be a very difficult task. This paper argues that the strong guarantees made by the current broadband paradigm—low latency and constant availability—are unnecessary obstacles to its adoption as an affordable and universal digital service. We show that there is nonetheless a plausible strategy for deploying a "Basic Broadband" service that does not require such guarantees and is able to offer, at reasonable cost, almost all the critical and valuable services and applications currently delivered over low latency broadband, synchronous telepresence excepted. Copyright © 2022, The Authors. All rights reserved.

关键词： Network architecture

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Formal Analysis of an IoT-Based Healthcare Application

Formal Analysis of an IoT-Based Healthcare Application

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IEEE Symposium on computers and Communications (ISCC)

作者： Maissa Elleuch Sofiène Tahar Digital Research Center of Sfax Technopark of Sfax Sfax Tunisia CES Laboratory National School of Engineers of Sfax Sfax University Tunisia Dept. of Electrical & Computer Engineering Concordia University Montreal Quebec Canada

In the healthcare context, remote monitoring based on the Internet of Things (IoT) technology is a widespread application. Underlying entities are interacting to bring up various services, so that their communication has to be ensured without defects such as deadlocks. The correct validation of these IoT applications is a major concern because of their distributed and concurrent features, as well as, the safety-critical nature of the health context. In this paper, we show how we use a model checking approach to accurately validate the behavior of an IoT-based healthcare application. We then focus on verifying three important classes of properties namely safety, liveness, and absence of deadlock. The verification is guaranteed by means of the UPPAAL model checker.

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Enhancing Edge Multipath Data Security Offloading Efficiency via Sequential Reinforcement Learning

Enhancing Edge Multipath Data Security Offloading Efficiency...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Wenxuan Qiao Yuyang Zhang Ping Dong Xiaojiang Du Chengxiao Yu Hongke Zhang Mohsen Guizani School of Electronic and Information Engineering Beijing Jiaotong University P. R. China Dept. of New Networks Peng Cheng Laboratory Shenzhen Guangdong China Dept. of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA Dept. of Machine Learning Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi UAE

The multipath transmission structure decouples network services from a single transmission carrier, which has great potential for shaping a more secure and efficient 6G network. Existing multipath transmission schemes face challenges such as network heterogeneity, perception lag, and additional scheduling delay, which limits their ability to improve bandwidth aggregation capacity and information security. To address these issues, we propose the Sequential Reinforcement Evolution (SRE) scheme, which utilizes deep reinforcement learning to predict the value of future scheduling actions based on past network states. The SRE scheme regards improving bandwidth aggregation capacity and anti-eavesdropping ability as optimization goals, and designs a semi-symmetric attention recurrent neural network (SARNN) to better mine the sequential nature of the scheduling process. The SRE scheme utilizes approximately 500 million real network data points to pre-train the SARNN model, and performs cycle optimization during the actual deployment process. Experimental results show that SRE significantly outperforms state-of-the-art scheduling schemes with a 32% increase in bandwidth aggregation and a 117% increase in traffic security dispersion with minimal impact on latency.

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RF Performance of FOWLP to PCB Board Transition

RF Performance of FOWLP to PCB Board Transition

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Electronics Packaging Technology Conference (EPTC)

作者： K. B. Zheng Sun Mei Sharon Lim Pei Siang Jong Ming Chinq Lau Boon Long Zhou Lin Lim Teck Guan IME attached student from Dept. of Electrical and Computer Engineering National University of Singapore (NUS) Innovis Tower Singapore Institute of Microelectronics (IME) A*STAR (Agency for Science Technology and Research)

ISBN: (纸本)9798350398861

Fan-Out Wafer-Level-Packaging (FOWLP) to PCB transition enables the scaling of an antenna element into an array at a PCB level. This paper presents key design steps ensuring the FOWLP package-to-board transition structure's performance. The back-to-back package-to-board transition structure has a maximum simulated insertion loss of 0.88 dB and a minimum return loss of 11.73 dB over 20 to 35 GHz. A prototype was also fabricated for further characterization.

关键词： Radio frequency 5G mobile communication Wireless networks System performance Web and internet services Prototypes Insertion loss

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Solving economic dispatch problem using a new hybrid PSO-ALO algorithm 1

Solving economic dispatch problem using a new hybrid PSO-ALO...

引用

1st International Conference on Communications, Control Systems and Signal Processing, CCSSP 2020

作者： Merah, Hana Gacem, Abdelmalek Benattous, Djilani Labbi, Yacine Malik, Om Parkash University of El-Oued VTRS Laboratory Dept. of Electrical Engineering El-Oued Algeria University of El-Oued Dept. of Electrical Engineering El-Oued Algeria University of Calgary Dept. of Electrical and Computer Engineering CalgaryAB Canada

ISBN: (纸本)9781728158358

This study presents the application of a new hybrid particle swarm optimization and ant lion algorithm (Hybrid PSO-ALO) to resolve the economic dispatch problem (ED) considering the limits on generator real power output and power loss in transmission. In hybrid ALO-PSO, individuals in a new generation are created by different strategies of PSO and ALO that allows the creation of a new, richer population and superiority. The effectiveness of this hybrid approach is examined and confirmed by applying it on various test networks of 6 and 10 generators. The results demonstrate that the proposed hybrid PSO-ALO has better performance and gives a better solution compared with other heuristic algorithms in the recent literature. © 2020 IEEE.

关键词： Heuristic algorithms

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Simulating The Effects of Low Intensity Focused Ultrasound in Parkinson's Disease

Simulating The Effects of Low Intensity Focused Ultrasound i...

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International IEEE/EMBS Conference on Neural engineering, CNE

作者： Ítalo Karmann Aventurato Marcelo Ramos Romano Leonardo Abdala Elias Department of Neurology School of Medical Sciences University of Campinas Campinas SP Brazil Dept. of Electronics and Biomedical Engineering School of Electrical and Computer Engineering University of Campinas Campinas SP Brazil Neural Engineering Research Laboratory Center for Biomedical Engineering University of Campinas Campinas SP Brazil

Invasiveness limits current neuromodulation approaches for treating Parkinson's disease (PD). Low-intensity focused ultrasound (LIFUS) is a viable non-invasive alternative to modulate the cortico-subcortical networks involved in PD. In this study, an intramembrane cavitation model was used to simulate the effects of ultrasonic stimulation to the subthalamic nucleus in a simplified validated model of the cortico-subcortical network. Simulation results from single neuron and network models show the ultrasonic stimulus was effective in producing neuronal excitation in the subthalamic nucleus as well as modulation of activities in other nuclei of the network model (e.g., globus pallidus and thalamus). Additionally, depending on LIFUS parameters (i.e., amplitude and duty cycle) there was a reduction in beta-band parkinsonian oscillations to values close to the healthy condition. Exploratory tests of the stimulus parametric space revealed different operating ranges that could be used to optimize the therapeutic response to LIFUS. In conclusion, the membrane cavitation framework provides reasons to believe that LIFUS would be a potential therapeutic intervention to modulate neuronal circuits involved in PD without surgical procedures. Also, the model employed in the present study would be helpful in exploring other neuromodulation effects of ultrasound waves in neuronal circuits in the brain. However, it is important to validate the results from the computer simulations using both experiments with animal models and clinical trials with humans.

关键词： Ultrasonic imaging Parkinson's disease Computational modeling Surgery Brain modeling Thalamus Acoustics

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A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems

arXiv

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arXiv 2022年

作者： Xu, Ronghua Chen, Yu Li, Xiaohua Blasch, Erik Dept. of Electrical and Computer Engineering Binghamton University Binghamton United States The U.S. Air Force Research Laboratory Rome United States

The fast integration of 5G communication, Artificial Intelligence (AI), and Internet-of-Things (IoT) technologies is envisioned to enable Next Generation Networks (NGNs) for diverse smart services and user-defined applications for Smart Cities. However, it is still challenging to build a scalable and efficient infrastructure that satisfies the various performance, security, and management demands by heterogeneous IoT applications across multiple administrative domains. This paper presents a dynamic edge resource federation architecture, which integrates the concept of network slicing (NS) and blockchain to improve scalability, dynamicity, and security for multi-domain IoT applications. A NS-enabled dynamic edge resource federation framework adopts intelligent mechanisms to support efficient multi-domain service coordination that satisfies diverse Quality of Service (QoS) and security requirements. We propose a Hierarchical Integrated Federated Ledger (HIFL), which aims to guarantee decentralized security and privacy-preserving properties in multi-domain resource orchestration and service re-adjustment. As a secure-by-design solution, HIFL is promising to support efficient, trust and secured end-to-end IoT services. A preliminary proof-of-concept prototype has been implemented for comparing intra- and inter-domain performance expectations. © 2022, CC BY-NC-ND.

关键词： Blockchain

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DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication

arXiv

引用

arXiv 2022年

作者： Nagothu, Deeraj Xu, Ronghua Chen, Yu Blasch, Erik Aved, Alexander Dept. of Electrical and Computer Engineering Binghamton University Binghamton United States The U.S. Air Force Research Laboratory Rome United States

Advancements in generative models, like Deepfake allows users to imitate a targeted person and manipulate online interactions. It has been recognized that disinformation may cause disturbance in society and ruin the foundation of trust. This article presents DeFakePro, a decentralized consensus mechanism-based Deepfake detection technique in online video conferencing tools. Leveraging electrical Network Frequency (ENF), an environmental fingerprint embedded in digital media recording, affords a consensus mechanism design called Proof-of-ENF (PoENF) algorithm. The similarity in ENF signal fluctuations is utilized in the PoENF algorithm to authenticate the media broadcasted in conferencing tools. By utilizing the video conferencing setup with malicious participants to broadcast deep fake video recordings to other participants, the DeFakePro system verifies the authenticity of the incoming media in both audio and video channels. © 2022, CC BY-NC-SA.

关键词： Video recording

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Temperature Impact on Partial Discharge Induced Aging of Aviation Wires Under High DV/DT Voltage Excitations

Temperature Impact on Partial Discharge Induced Aging of Avi...

引用

Power Electronics for Aerospace Applications (PEASA), IEEE Workshop on

作者： Khalid Alkhalid Jin Wang Pengyu Fu Daniel Schweickart Dennis Grosjean dept. Electrical and Computer Engineering The Ohio State University Columbus OH USA Air Force Research Laboratory/RQQE Wright Patterson AFB Ohio USA Innovative Scientific Solutions Inc Dayton OH USA

The higher efficiency of wide-bandgap (WBG) power switching devices makes them a promising candidate for future more electric aircraft (MEA). However, partial discharge (PD) behavior and its impact on the failure of the insulation system under pulse width modulated (PWM) voltages are not yet fully understood. This paper investigates the impact of temperature on PD current pulse and time-to-failure of aircraft power wiring. The experimental setup includes a repetitive high dv/dt unipolar square pulse voltage excitation, with the test sample placed in a vacuum chamber containing dry air to minimize the influence of humidity. The aviation wires are tested at room temperature (22.5°C), 50 ° C, 75 ° C, and 100 ° C. The results show that the wire's temperature has a negligible impact on the partial discharge inception voltage (PDIV) or PD current pulse. However, when the voltage is higher than the PD IV, the failure time decreases significantly at higher temperatures. The findings show that the degradation rate due to PD accelerates exponentially at higher temperatures, even if the temperature is below the rated temperature of the wire. Furthermore, the results show the limitations of PD measurements as a stand-alone evaluation parameter for insulation status, and additional measurements such as temperature could enhance the evaluation accuracy.

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