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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Skentzos, Panagiotis Konstantopoulos, George C. The University of Sheffield Dept. of Automatic Control and Systems Engineering Sheffield United Kingdom University of Patras Dept. of Electrical and Computer Engineering Patra Greece

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

In this paper, a novel nonlinear current-limiting controller that maintains the desired power balance in a hybrid microgrid, is proposed for interlinking converters (ICs). The RMS value of the IC current is analytically proven to remain below a desired maximum value at all times using nonlinear ultimate boundedness theory, without limiting separately the d- and q-axis current components and without using adaptive saturation units, as done in conventional approaches. Furthermore, the stability of the closed loop system is investigated through root locus analysis for different values of the controller gain. Finally, the performance of the proposed control scheme is validated through detailed simulation results of an interlinking converter connected to both an AC and a DC subgrid. © 2022 IEEE.

关键词： Controllers

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iSFA: Intelligent SF Allocation Approach for LoRa-Based Mobile and Static End Devices

iSFA: Intelligent SF Allocation Approach for LoRa-Based Mobi...

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IEEE Conference on Wireless Communications and Networking

作者： Anakhi Hazarika Nikumani Choudhury Dept. of Electrical & Electronics Engineering India Dept. of Computer Science & Information Systems India

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

LoRaWAN (Long Range Wide Area Network) is a low-power, wide-area wireless communication protocol designed specifically for the Internet of Things (IoT) and machine-to-machine (M2M) applications that enable long-range, bidirectional communication between low-power devices. Lo-RaWAN employs Adaptive Data Rate (ADR) technology to dynamically adjust the data rate for each device based on its signal quality and distance from the gateway. ADR enables improved network performance, extends device battery life, and simplifies network management, making LoRaWAN suitable for various IoT deployments. However, the end devices' inefficient utilization of radio resources (e.g., spreading factor and transmission power) significantly degrades network performance, device battery life, and adaptability to changing network conditions. Machine Learning (ML) algorithms analyze and optimize the real-time network conditions to enhance network performance. This work aims to develop an ML-based approach that adaptively selects the most suitable Spreading Factor (SF) for end devices (ED). Two independent ML algorithms such as K-means and Reinforcement Learning (RL) have been applied to EDs and Gateways, respectively, to dynamically allocate SF for both static and mobile EDs. Through simulations, the performance of the proposed mechanism is analyzed in terms of packet success rate, convergence time, energy consumption, latency, and throughput.

关键词： Performance evaluation Wireless communication Wide area networks Machine learning algorithms Reinforcement learning Logic gates Throughput

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Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning

Uplink Over-the-Air Aggregation for Multi-Model Wireless Fed...

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IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Chong Zhang Min Dong Ben Liang Ali Afana Yahia Ahmed Dept. of Electrical and Computer Engineering University of Toronto Canada Ericsson Canada Canada Dept. of Electrical Computer and Software Engineering Ontario Tech University Canada

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

We propose an uplink over-the-air aggregation (OAA) method for wireless federated learning (FL) that simultaneously trains multiple models. To maximize the multi-model training convergence rate, we derive an upper bound on the optimality gap of the global model update, and then, formulate an uplink joint transmit-receive beamforming optimization problem to minimize this upper bound. We solve this problem using the block coordinate descent approach, which admits low-complexity closed-form updates. Simulation results show that our proposed multi-model FL with fast OAA substantially outperforms sequentially training multiple models under the conventional single-model approach.

关键词： Training Upper bound Accuracy Array signal processing Federated learning Wireless networks Simulation Uplink Optimization Convergence

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Controlled Dropout for Uncertainty Estimation

Controlled Dropout for Uncertainty Estimation

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Hasan, Mehedi Hossain, Ibrahim Rahman, Ashikur Nahavandi, Saeid Institute for Intelligent Systems Research and Innovation Deakin University GeelongVIC3220 Australia Bangladesh University of Engineering and Technology Dept. of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350337020

Uncertainty quantification in a neural network is one of the most discussed topics for safety-critical applications. Though Neural Networks (NNs) have achieved state-of-the-art performance for many applications, they still provide unreliable point predictions, which lack information about uncertainty estimates. Among various methods to enable neural networks to estimate uncertainty, Monte Carlo (MC) dropout has gained much popularity in a short period due to its simplicity. In this study, we present a new version of the traditional dropout layer where we are able to fix the number of dropout configurations. As such, each layer can take and apply the new dropout layer in the MC method to quantify the uncertainty associated with NN predictions. We conduct experiments on both toy and realistic datasets and compare the results with the MC method using the traditional dropout layer. Performance analysis utilizing uncertainty evaluation metrics corroborates that our dropout layer offers better performance in most cases. © 2023 IEEE.

关键词： dropout Monte Carlo dropout neural network Uncertainty estimation

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Underwater and In-Air IPT-CPT Wireless Power Transfer Performance Comparison: A Simulation Study

Underwater and In-Air IPT-CPT Wireless Power Transfer Perfor...

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2023 IEEE International Conference on Environment and Electrical engineering and 2023 IEEE Industrial and Commercial Power systems Europe, EEEIC / I and CPS Europe 2023

作者： Shafiei, Sadjad Yazdi, Seyed Saeid Heidari Kermani, Mostafa Saukhimov, Almaz Hekmati, Arsalan Bagheri, Mehdi Nazarbayev University Dept. of Electrical and Computer Engineering Astana Kazakhstan Sapienza University of Rome Dept. of Electrical Engineering Rome Italy Almaty University of Power Engineering and Telecommunications Dept. of Electrical Systems and Networks Almaty Kazakhstan Revterra Company HoustonTXTX77004 United States

ISBN: (纸本)9798350347432

In this study, an inductive-capacitive coupling wireless power transmission (IC-UWPT) system in the seawater environment is discussed. It is revealed that the conductive characteristic of seawater medium will change the eddy current flow as compared to the air medium, and in higher frequency ranges, will increase power dissipation and affect the total efficiency and ultimately the system's performance. A new equivalent circuit is provided to precisely model the seawater WPT, where the eddy current losses are referred to as an additional term coil's parameter in the circuit model. Using Ansys Electronics, simulation studies are carried out in both air and water environment. The eddy current and electrostatic solutions are adopted for IPT and CPT system analysis. Moreover, Ansys Simplorer is utilized to couple the proposed IPT-CPT combined system. The simulation results validate the introduced model for the underwater IPT -CPT system and its performance. © 2023 IEEE.

关键词： Energy transfer

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Reliable Data Storage and Sharing using Block chain Technology and Two Fish Encryption 4

Reliable Data Storage and Sharing using Block chain Technolo...

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4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022

作者： Sivanantham, S. Sakthivel, M. Krishnamoorthy, V. Balakrishna, N. Akshaya, V. Sree Vidyanikethan Engineering College Dept. of Computer Science and Systems Engineering Andhra Pradesh Tirupati India Sree Vidyanikethan Engineering College Dept. of Computer Science and Engineering Andhra Pradesh Tirupati India Bannari Amman Institute of Technology Dept. of Computer Science and Engineering Tamilnadu Sathyamangalam India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Digital data that has been certified by a respected institution is valuable and can be saved or transmitted over the internet. However, the issues are ensuring the security and reliability of stored and shared data, as well as ensuring a secure, transparent, and fair data sharing process. As a result, The schemas for data production, storage, and sharing is suggested. A group signature scheme in the data production schema for a collection of respected organisations that provide similar services is used. A member of the group develops precious digital data from RD (raw data) provided by a DO (data owner) and then provides a certification based on the encipher of that data. The system saves the data's access address in the database after data owner uploading his or her data to the system in the data storage schema. Before submitting a data sharing proposal to the DO, every person on the system might validate the quality of shared data. The data sharing mechanism is carried out via a smart contract to incentivize honesty. The schemas assure the security properties of data storage and exchange, which include confidentiality, integrity, privacy, and non-repudiation. © 2022 IEEE.

关键词： Fish

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Multi-objective optimization for cloud provisioning: A case study in large-scale microservice notification applications 9

Multi-objective optimization for cloud provisioning: A case ...

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9th International Conference on Future Internet of Things and Cloud, FiCloud 2022

作者： Vrbaski, Mira Bolic, Miodrag Majumdar, Shikharesh University of Ottawa School of Electrical Engineering and Computer Science Ottawa Canada Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (数字)9781665493505

ISBN: (纸本)9781665493505

An approach to optimizing a large-scale microservice deployment for a critical notification system is presented. This paper addresses optimization for three objectives: cloud service cost, cloud resource utilization of CPU, RAM and storage, and meeting the system notification deadlines. To the best of our knowledge, this is the first work dealing with multi-objective optimization for microservice notification applications where the notification load is variable and depends on other priorly executed microservice in request processes. Furthermore, best of our knowledge, this is the first work that is based on multi-objective optimization, analyzing and proposing a Pareto front and optimal list from preselected VM candidates. First, the paper formulates multi-objective optimization problems for microservice-based large-scale notification system applications and provides the mathematical deployment model. Then, based on the expected workload and required multi-objective criteria, the paper proposes a set of algorithms that provide the Pareto front optimal solution for preselecting a Cloud Service provider's VM type. In the end, the paper presents a case study that demonstrates the use of the proposed technique. © 2022 IEEE.

关键词： Multiobjective optimization

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Lightweight Direct Memory Access on FPGA Using AXI Protocol

Lightweight Direct Memory Access on FPGA Using AXI Protocol

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2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Kidwell, Adam Horvath, Matthew P. Hanna, Darrin Jones, Bryant Oakland University Dept. of Electrical and Computer Engineering Rochester HillsMI United States Intrepid Control Systems TroyMI United States

ISBN: (纸本)9798350327595

This paper presents a lightweight AXI DMA Controller architecture useful for embedded systems that do not require fully featured DMA controllers. Simulation is accomplished with VUnit, and implementation results are obtained on a Xilinx XC7Z010CLG400-1 FPGA. When compared with Xilinx's AXI DMA controller with the same configuration, the presented controller utilizes between 16 and 82% fewer resources with comparable speed. © 2023 IEEE.

关键词： AXI DMA Embedded systems FPGA

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A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store

arXiv

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arXiv 2023年

作者： Chembakottu, Bhagya Li, Heng Khomh, Foutse Dept. of Computer and Software Engineering Polytechnique Montreal Canada

Context: Prior studies on mobile app analysis often analyze apps across different categories or focus on a small set of apps within a category. These studies either provide general insights for an entire app store which consists of millions of apps, or provide specific insights for a small set of apps. However, a single app category can often contain tens of thousands to hundreds of thousands of apps. For example, according to AppBrain, there are 46,625 apps in the "Sports" category of Google Play apps. Analyzing such a targeted category of apps can provide more specific insights than analyzing apps across categories while still benefiting many app developers interested in the category. Objective: This work aims to study a large number of apps from a single category (i.e., the sports category). Our work can provide two folds contributions: 1) identifying insights that are specific to tens of thousands of sports apps, and 2) providing empirical evidence on the benefits of analyzing apps in a specific category. Method: We perform an empirical study on over two thousand sports apps in the Google Play Store. We study the characteristics of these apps (e.g., their targeted sports types and main functionalities) through manual analysis, the topics in the user review through topic modeling, as well as the aspects that contribute to the negative opinions of users through analysis of user ratings and sentiment. Results: We identified sports apps that cover 16 sports types (e.g., Football, Cricket, Baseball) and 15 main functionalities (e.g., Betting, Betting Tips, Training, Tracking). We also extracted 14 topics from the user reviews, among which three are specific to sports apps (accuracy of prediction, up-to-dateness, and precision of tools). Finally, we observed that users are mainly complaining about the advertisements and quality (e.g., bugs, content quality, streaming quality) of sports apps. Conclusion: It is concluded that analyzing a targeted category of apps (e.g.,

关键词： Android (operating system)

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Privacy-Preserving Attribute-Based Access Control with Non-Monotonic Access Structure 7

Privacy-Preserving Attribute-Based Access Control with Non-M...

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7th Cyber Security in Networking Conference, CSNet 2023

作者： Ashouri-Talouki, Maede Kahani, Nafiseh Barati, Masoud University of Isfahan Dept. of Information Technology Iran Carleton University Systems and Computer Engineering Canada School of Information Technology Carleton University Canada

ISBN: (纸本)9798350342871

Attribute-Based Encryption (ABE) with non-monotonic access policies provides fine-grained access control for widespread applications like Cloud-assisted HealthIoT systems. In this context, multi-authority ABE with untrusted authorities eliminates the need for a trusted authority, but ensuring user's identity and attributes-set privacy against these authorities remains a significant challenge. This paper proposes a new, efficient multi-authority ABE approach that preserves user's identity privacy and attributes-set privacy, and is secure against collusion attack. Also, the proposed approach provides non-monotonic access policies, which supports positive and negative constraints using NOT operation as well as AND and OR operations. © 2023 IEEE.

关键词： Access control

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