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6th International Conference on Power and Energy Technology, ICPET 2024

作者： Wang, Zengyong Wang, Xiao Xu, Weimao Wang, Chi Liu, Qing Gao, David Wenzhong School of Automation Wuhan University of Technology Wuhan China State Grid Liaoning Electric Power Company Shenyang China Department of Electrical and Computer Engineering University of Denver DenverCO United States

ISBN: (纸本)9798350375855

This paper investigates a distributed cooperative control strategy for large-scale heterogeneous energy storage devices aggregated to form a Virtual Storage Plant (VSP) that behaves in a similar fashion as centralized storage stations in terms of capacity and dynamic response capabilities. Similar to conventional energy storage facilities, maintaining a balanced state of charge is a critical goal for energy management within a VSP. Taking into account the dynamic models of energy storage systems and converters, we propose a synthesis method for designing homogeneous virtual external systems and output regulators within a multi-agent system framework. This approach enables the generation and tracking of consistent reference trajectories, ensuring that the VSP maintains a uniform internal state of charge while responding to external power commands. The effectiveness of the proposed control strategy is validated through Simulink simulation tests and further verified on a distributed control test platform set up in a real network environment. © 2024 IEEE.

关键词： Virtual storage

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A Low-Power Single-Phase Split-Controlled Flip-Flop With No Redundant Switching

A Low-Power Single-Phase Split-Controlled Flip-Flop With No ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Zhuoya Yan Yingna Huang Hailong Jiao School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Flip-flops with ultra-wide-range dynamic voltage scaling capability are attractive for ultra-low power applications. In this paper, a single-phase split-controlled flip-flop (SCFF) is proposed for ultra-wide-range dynamic voltage scaling. By employing a differential structure in the master latch and a unique split-controlled slave latch, the proposed SCFF possesses desirable features for ultra-low voltage operations. Designed in a 55-nm low-power CMOS technology, SCFF achieves 0.4 V minimum supply voltage, and reduces the power-delay-product (PDP) by up to 79.7% compared to the state-of-the-art flip-flops at the typical process corner with 12.5% input toggle rate. SCFF also maintains the benefit of low PDP at different process corners and different supply voltages.

关键词： Latches Circuits and systems Switches CMOS technology Dynamic voltage scaling Delays Low-power electronics

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A Soft-linkingMethod for ResponsiveModelling of Decarbonisation Scenario Costs

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International Journal of Sustainable Energy Planning and Management 2024年 42卷 5-27页

作者： Cameron, Ché Foley, Aoife Lund, Henrik McLoone, Seán School of Mechanical and Aerospace Engineering Queen’s University Belfast Ashby Building Stranmillis Road BelfastBT9 5AG United Kingdom School of Engineering The University of Manchester Oxford Road ManchesterM13 9PL United Kingdom Department of Sustainability and Planning Aalborg University Rendsburggade 14 Aalborg9000 Denmark School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast Ashby Building Stranmillis Road BelfastBT9 5AG United Kingdom

This study presents a methodology that integrates EnergyPLAN and Quintel Energy Transition Model (ETM). Quintel ETM encompasses a holistic view of energy demand and supply from a fixed base year and its user interface enables unparalleled public engagement, but it is constrained by its limited flexibility in updating deeply embedded cost parameters. This shortcoming becomes critical when considering the rapid pace of technological change and market volatility which is characteristic of contemporary energy systems. EnergyPLAN, with its focus on detailed, customizable cost analysis in heating and power sectors, compensates for these limitations by offering a user-friendly interface and a track record of validated costing approaches. This work contributes the ‘epnlink’ python library for EnergyPLAN – a flexible input-output parser with functionality that extends beyond this study. A soft-linking methodology to map ETM outputs to EnergyPLAN inputs is developed and demonstrated on a case study of Northern Ireland. Alternative pathways to net zero carbon by 2050 are explored, where infrastructure for power and non-industrial heat, and total fuel usage are costed. The demonstrated pipeline has broad applicability as a template to enhance the agility and precision of key cost projections for responsive and strategic energy planning across diverse geographical contexts. © 2024, Aalborg University Press. All rights reserved.

关键词： Energy system cost EnergyPLAN Future energy system Quintel Soft-linking

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Novel Deep Learning Network Architectures for Time Series Forecasting

Novel Deep Learning Network Architectures for Time Series Fo...

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2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario, ICPSITIAGS 2023

作者： Katariya, Jitendra Kumar Yadav, Dhananjay Gayathri, C. Kolekar, Vikas K. Daivagna, Umesh M. Pushparajesh, V. Vivekananda Global University Department of Computer Science & Application Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology UP India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Atlas SkillTech University Department of UGDX Maharastra Mumbai India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India

ISBN: (纸本)9798350329773

This paper presents novel deep-learning network architectures for time series forecasting. First, a singular deep gaining knowledge of network architecture is proposed and tested for the usage of the Google tendencies dataset as a benchmark. The proposed structure combines 1-dimensional convolution neural networks, recurrent neural networks, and long-term cells to seize and study lengthy-term styles in the time series information. The structure is compared to current deep getting-to-know architectures and is shown to outperform them in phrases of accuracy. Moreover, the proposed structure is applied to a secondary time collection dataset, the COVID-19 confirmed infection dataset, to attain compelling effects. Eventually, an open-source implementation of the proposed architecture is made available for use in addition to research. © 2023 IEEE.

关键词： Network architecture

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Distributed Optimization with Gradient Tracking Over Heterogeneous Delay-Prone Directed Networks

Distributed Optimization with Gradient Tracking Over Heterog...

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European Control Conference (ECC)

作者： Evagoras Makridis Gabriele Oliva Kasagatta Ramesh Narahari Mohammadreza Doostmohammadian Usman A. Khan Themistoklis Charalambous Department of Electrical and Computer Engineering School of Engineering University of Cyprus Nicosia Cyprus Department of Engineering University Campus Bio-Medico of Rome Roma Italy Nokia Espoo Finland School of Engineering Semnan University Semnan Iran Department of Electrical and Computer Engineering Tufts University Medford Massachusetts United States Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland FinEst Centre for Smart Cities Tallinn Estonia

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this paper, we address the distributed optimization problem over unidirectional networks with possibly time-invariant heterogeneous bounded transmission delays. In particular, we propose a modified version of the Accelerated Distributed Directed OPTimization (ADD-OPT) algorithm, herein called Robustified ADD-OPT (R-ADD-OPT), which is able to solve the distributed optimization problem, even when the communication links suffer from heterogeneous but bounded transmission delays. We show that if the gradient step-size of the R-ADD-OPT algorithm is within a certain range, which also depends on the maximum time delay in the network, then the nodes are guaranteed to converge to the optimal solution of the distributed optimization problem. The range of the gradient step-size that guarantees convergence can be computed a priori based on the maximum time delay in the network.

关键词： Delay effects Computational modeling Europe Delays Optimization Convergence

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Financial Big Data Analysis Using Anti-tampering Blockchain-Based Deep Learning 22nd

Financial Big Data Analysis Using Anti-tampering Blockchain-...

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22nd International Conference on Hybrid Intelligent Systems, HIS 2022 and the 18th International Conference on Information Assurance and Security, IAS 2022

作者： Praghash, K. Yuvaraj, N. Peter, Geno Stonier, Albert Alexander Priya, R. Devi Department of Electronics and Communication Engineering Christ University Bengaluru India Department of Research and Publications ICT Academy IIT Madras Research Park ManagerChennai India CRISD School of Engineering and Technology University of Technology Sarawak Sibu Malaysia School of Electrical Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9783031274084

This study recommends using blockchains to track and verify data in financial service chains. The financial industry may increase its core competitiveness and value by using a deep learning-based blockchain network to improve financial transaction security and capital flow stability. Future trading processes will benefit from blockchain knowledge. In this paper, we develop a blockchain model with a deep learning framework to prevent tampering with distributed databases by considering the limitations of current supply-chain finance research methodologies. The proposed model had 90.2% accuracy, 89.6% precision, 91.8% recall, 90.5% F1 Score, and 29% MAPE. Choosing distributed data properties and minimizing the process can improve accuracy. Using code merging and monitoring encryption, critical blockchain data can be obtained. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Mask R-CNN Based Real Time near Drowning Person Detection System in Swimming Pools

Mask R-CNN Based Real Time near Drowning Person Detection Sy...

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2022 Mohammad Ali Jinnah University International Conference on Computing, MAJICC 2022

作者： Hayat, Muhammad Aftab Yang, Goutian Iqbal, Atif School of Control & Computer Engineering North China Electric Power University Beijing China The University of Lahore Department of Electrical Engineering Lahore Pakistan

ISBN: (数字)9781665475198

ISBN: (纸本)9781665475198

To find the drowning person in time in swimming pool to reduce the drowning person mortality rate. We used the Mask R-CNN algorithm, and optimizing the convolution backbone of the traditional Mask R-CNN algorithm by adding features of cascaded with pyramid model to design a swimmer drowning detection system. Through real-time recognition of the posture of swimmers in the swimming pool, it can determine the drowning person and alert in time. The system's proposed algorithm has been put to the test on multiple real-world video sequences taken in swimming pools, and the findings show that it is very accurate and capable of monitoring people in real time. The experimental results show that the detection speed of the system is 6 FPS, while the detection rate is 94.1 %, while the false detection rate is 5.9%. The effect is good, which satisfying the anticipated requirements. © 2022 IEEE.

关键词： Swimming pools

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Aggressive Jamming Attack in IoT Networks 4

Aggressive Jamming Attack in IoT Networks

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4th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2022

作者： Al Sharah, Ashraf Owida, Hamza Abu Edwan, Talal A. Al Balqa Applied University College of Engineering Technology Department of Electrical Engineering Amman Jordan Al Ahliyya Amman University Faculty of Engineering Medical Engineering Department Amman Jordan The University of Jordan School of Engineering Department of Computer Engineering Amman Jordan

ISBN: (纸本)9781665494113

The emerging scope of the Internet-of-Things (IoT) has motivated both academia and industry to investigate the security aspect of this field. An IoT architecture is subject several potential cyber-attacks, one of which is Jamming attacks, where threats can affect performance and hence cause a critical problem for IoT devices. This paper presents several scenarios of a smart jamming attack (coalition attack) mechanism, where the attackers are originally legitimate nodes and form part of a network before they leave it and return as a compromised nodes. In order to intensify the attack, the compromised nodes re-group smartly, share the memorized network information, assign the role of a jammer for each node and subsequently achieve an aggregate jamming effect. Furthermore, the mechanism allows the compromised nodes to select the correct transmission rates for attacking according to an attacking-probability table which is kept updated during the coalition life cycle and contains the most probable link-transmission rate among the network nodes. Simulation results of the presented scenarios using NS3 show that attacks which rely on this mechanism can adversely affect the performance of the network. © 2022 IEEE.

关键词： Network security

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Design and Analysis of Class Φ Inverters in the Wireless Power Transfer

Design and Analysis of Class Φ Inverters in the Wireless Po...

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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Chen Chen Tenghao Ji Junxiang Yang Rui Liang Kaiyuan Wang Jinhong Sun School of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Electrical and Computer Engineering University of Michigan Ann Arbor USA School of Physical Science University of Science and Technology of China Hefei Anhui China Department of Electrical and Electronic Engineering Hong Kong Polytechnic University Hong Kong China

ISBN: (数字)9798350365801

ISBN: (纸本)9798350365818

Wireless power transfer systems have been widely studied, especially in 13.56MHz. This paper presents a framework for modeling, analysis, and design a Class $-\Phi$ Inverter, a single switch topology with low switch voltage stress and fast transient. Building upon this foundation, a compensation topology was introduced to enhance the smoothness of the circuit's output voltage and achieve load-independent characteristics. Subsequently, simulation analysis and verification were conducted using L Tspice. The results show that Class $\Phi$ inverter with SS compensation can improve the smoothness of the output waveform, have better filtering effect, and have a lower impact on the output voltage as the resistance changes.

关键词： Resistors Resistance Simulation Voltage Wireless power transfer Switches Inverters

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Retractable Commitment over Noisy Channels

Retractable Commitment over Noisy Channels

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Rémi A. Chou Matthieu R. Bloch Department of Electrical Engineering and Computer Science Wichita State University School of Electrical and Computer Engineering Georgia Institute of Technology

Consider a commitment protocol between two parties, Alice and Bob, in which Alice may (i) commit to a message using a non-redundant discrete memoryless channel whose outputs are observed by Bob; and (ii) later reveal her committed message to Bob who must decide whether Alice is revealing the message she actually committed to. A commitment protocol should meet three standard requirements: concealment, bindingness, and soundness, to ensure that no party may act dishonestly. Our objective is to study whether one can enforce a fourth requirement that would allow Alice to retract a commitment before the reveal phase starts without Bob detecting that she ever participated in the commit phase of the protocol. We positively answer this question and characterize the commitment capacity for such a setting by relying on tools developed for covert communication.A full version of the paper is available at https://***/***.

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