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2024 IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2024

作者： Basherlou, Haleh Jahanbakhsh Parchin, Naser Ojaroudi See, Chan Hwang Abd-Alhameed, Raed A. School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh United Kingdom University of Bradford Faculty of Engineering and Informatics BradfordBD7 1DP United Kingdom

ISBN: (纸本)9798350392142

This paper investigates the features of a new metamaterial-inspired phased array that exhibits high-gain and steerable radiation capabilities, catering to the needs of future cellular networks. Its schematic incorporates eight modified dipole elements arranged in a 1 × 8 linear configuration. To enhance the radiation properties of the designed dipole resonators, 2 × 2 metamaterial unit cells are positioned alongside each dipole resonator. The dipole resonators are compact in size and employ microstrip-line feeds. The suggested smartphone phased array design achieves an impedance bandwidth of 28-32 GHz with -10 dB, offering over 80% total efficiencies and 13 dBi radiation gains. This promising performance aligns with the essential requirements of future cellular communications. © 2024 IEEE.

关键词： Antenna phased arrays

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A Data Serialization-based Framework for Efficient IoT Management 10

A Data Serialization-based Framework for Efficient IoT Manag...

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10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Huseynov, Khayal Cakir, Lal Verda Al-Shareeda, Sarah Ozdem, Mehmet Canberk, Berk BTS Group Turkey Istanbul Technical University Department of AI and Data Engineering Turkey Edinburgh Napier University School of Computing Engineering and The Built Environment United Kingdom Türk Telekom Turkey

ISBN: (纸本)9798350373011

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resource constraints and latency requirements. By adopting a zero-copy binary format, Flatbuffers, we reduce the spatial complexity of processing at IoT edge gateway. However, at the service applications, interoperability challenges may arise when dealing with binary data formats compared to text-based formats. To accommodate the constraints of IoT edge gateways and service applications, we introduce a framework that aims to improve the data exchange rate between the IoT layer and the management layer while maintaining interoperability. Our comparative analysis across three scenarios, involving single and multiple sensors, shows that the proposed FlatBuffers-based framework outperforms the conventional JSON and Protocol Buffers formats in terms of frequency. These findings highlight the significant potential of FlatBuffers in boosting the real-time interaction capabilities of IoT systems. © 2024 IEEE.

关键词： Data assimilation

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Resource-efficient Model-free Adaptive Sliding-mode Heading Control for Unmanned Surface Vehicle with Data Dropouts 13

Resource-efficient Model-free Adaptive Sliding-mode Heading ...

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13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024

作者： Chen, Yutong Zhao, Huarong Xu, Dezhi Yu, Hongnian Dan, Chenshi School of Internet of Things Engineering Jiangnan University Jiangsu Wuxi China School of Electrical Engineering Southeast University China School of Computing Engineering and the Built Environment Edinburgh Napier University EdinburghEHI0 5DT United Kingdom

ISBN: (纸本)9798350361674

This paper addresses the issue of heading control for an unmanned surface vehicle (USV) in the presence of un-certainties. We propose a model-free adaptive sliding-mode heading control method considering resource-efficient control and dual-channel data dropouts. First, a dynamic linearization model with a pseudo partial derivative is constructed, the value of the pseudo partial derivative is estimated, and a model-free sliding-mode heading controller is formulated for USV. Second, an event-triggered mechanism allows successful triggering only when the event trigger threshold is reached, thus significantly saving communication resources. Furthermore, a comprehensive compensatory strategy is devised to solve the data loss issues in both the forward and feedback channels. Ultimately, the convergence of heading control error of USV governed by the proposed method is rigorously proved, and the effectiveness of the proposed approach is verified through simulations. © 2024 IEEE.

关键词： Unmanned surface vehicles

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ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT 2

ACNN-IDS: An Attention-Based CNN for Cyberattack Detection i...

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2nd International Conference on Cyber Resilience, ICCR 2024

作者： Huma, Zile Ahmad, Jawad Hamadi, Hussam Al Ghaleb, Baraq Buchanan, William J. Jan, Sana Ullah Institute Of Space Technology Department Of Electrical Engineering Islamabad Pakistan School Of Computing Engineering And The Built Environment Edinburgh Napier University Edinburgh United Kingdom College Of Engineering And It University Of Dubai Dubai United Arab Emirates

ISBN: (纸本)9798350394962

The Internet of Things (IoT) has become an integral part of modern societies, with devices, networks, and applications offering industrial, economic, and social benefits. However, these devices and networks generate vast amounts of data, making them a favourite target for cybercriminals. This article introduces an attention-based convolutional neural network (ACNN) for cyberattack detection in IoT. The proposed ACNN incorporates an Inception architecture with a spatial attention mechanism. This integration optimizes feature extraction and localization, bolstering the IDS's accuracy and efficiency. The efficacy of the designed IDS is investigated through several parameters using the CIC-IDS 2018 dataset. The experimental outcomes indicate that the proposed ACNN achieved a higher attack detection accuracy of 98.11% and successfully classified 14 classes. The model size was determined as 21.172 MB which can be easily deployed on resource-constrained IoT devices. The model exhibited a computational performance of 5.804 GFLOPS when executed on an NVIDIA T4 GPU, and its inference time was recorded as 0.1867 ms. © 2024 IEEE.

关键词： Internet of things

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Closed-Form Pathloss Formulation for IRS-Assisted 6G Wireless Networks

Closed-Form Pathloss Formulation for IRS-Assisted 6G Wireles...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Petros Karadimas School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh UK

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

Intelligent reflecting surfaces (IRSs) are smart devices that can manipulate electromagnetic wave propagation to optimize performance of future 6G wireless networks. In IRS-assisted wireless communications, one of the most important performance metrics to optimize is the received signal-to-noise ratio (SNR). As the SNR depends on the received signal power, it is thus dependent on the underlying path loss (PL) of the wireless channel. There exist dozens of PL formulations for wireless links facilitated through an IRS. However, IRS-assisted wireless communications comprise of a transmitter (Tx)-Receiver (Rx) link together with the one through the IRS, that is, the Tx-IRS-Rx link. The Tx-Rx and Tx-IRS-Rx links are subject to different PL formulations. The PL of the complete wireless channel comprised of both links has never been formulated. The latter constitutes the subject of this paper, where we present a closed-form PL solution for IRS-assisted wireless communications comprised of both Tx-Rx and Tx-IRS-Rx links. The presented solution is subject to the PLs of the individual links and demonstrates the great benefit that IRSs can have on overall PL reduction.

关键词： Wireless communication 6G mobile communication Transmitters Surface waves Wireless networks Planning Electromagnetic propagation Smart devices Optimization Signal to noise ratio

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Hyperparameter Optimization Based Deep Belief Network for Clean Buses Using Solar Energy Model

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Intelligent Automation & Soft computing 2023年第7期37卷 1091-1109页

作者： Shekaina Justin Wafaa Saleh Tasneem Al Ghamdi J.Shermina College of Engineering Princess Nourah Bint Abdulrahman UniversityRiyadh 84428Kingdom of Saudi Arabia Transport Engineering School of Engineering and The Built Environment Edinburgh Napier UniversityEdinburgh EH105DUK Department of Computing Muscat CollegeUniversity of SterlingUK

Renewable energy has become a solution to the world’s energy concerns in recent ***(PV)technology is the fastest technique to convert solar radiation into ***-powered buses,metros,and cars use PV *** technologies are always *** in the parameters that need to be analysed and examined include PV capabilities,vehicle power requirements,utility patterns,acceleration and deceleration rates,and storage module type and capacity,among *** is intermit-tent and *** forecasting and modelling of PV sys-tem output power are key to managing storage,delivery,and smart *** unparalleled data granularity,a data-driven system could better anticipate solar *** learning(DL)models have gained popularity due to their capacity to handle complex datasets and increase computing *** article introduces the Galactic Swarm Optimization with Deep Belief Network(GSODBN-PPGF)*** GSODBN-PPGF model predicts PV power *** GSODBN-PPGF model normalises data using data *** is used to forecast PV power *** GSO algorithm boosts the DBN model’s predicted ***-PPGF projected 0.002 after 40 h but observed *** GSODBN-PPGF model validation is compared to existing *** showed that the GSODBN-PPGF model outperformed recent *** shows that the proposed model is better at forecasting than other models and can be used to predict the PV power output for the next day.

关键词： Photovoltaic systems solar energy power generation prediction model deep learning

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Implementation and Comparative Assessment of MPPT Techniques in MPC Based Grid-connected PV System 20

Implementation and Comparative Assessment of MPPT Techniques...

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20th International Conference on Smart Technologies, EUROCON 2023

作者： Ahmed, Jubaer Bana, Prabhat R Amin, Mohammad School of Computing Engineering & Built Environment Edinburgh Napier University Edinburgh United Kingdom Norwegian University of Science and Technology Department of Electric Power Engineering Trondheim Norway

ISBN: (纸本)9781665463973

Due to low conversion losses single-stage conversion process for grid-connected PV systems is getting popular. In recent literature, model predictive control (MPC) is introduced in single-stage PV conversion process since it provides better dynamic response compared to the conventional PI controller. However, the performance of different MPPT techniques is still unknown when MPC control is deployed. This work investigated the performance of adaptive P&O, particle swarm optimization (PSO) and Artificial Bee colony-P&O (ABCPO) algorithm in a MPC- based PV inverter control. The algorithms are tested under both uniform irradiance and partial shading in Matlab Simulink and Opal-RT based hardware setups. It is found that, in a 12S30P PV array, adaptive P&O tracks the global MPP faster compared to the other two. Besides THD induced by Adaptive P&O is significantly lower than PSO and ABCPO. It is concluded that adaptive P&O MPPT algorithms is the most suitable and efficient MPPT algorithm method to be deployed while MPC-based inverter control is implemented in single-stage grid-connected PV system. © 2023 IEEE.

关键词： Model predictive control

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Analysis and Control of Simplified Dual-Output Single-Phase Split-Source Boost Inverters 23

Analysis and Control of Simplified Dual-Output Single-Phase ...

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23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Dabour, Sherif M. Aboushady, Ahmed A. Gowaid, I.A. Elgenedy, Mohamed A. Farrag, Mohamed Emad School of Computing Engineering and Built Environment Glasgow Glasgow United Kingdom Tanta University Faculty of Engineering Tanta Egypt School of Computing Engineering and Built Environment Glasgow Caledonian University Electrical and Electronics Eng. Dept Glasgow United Kingdom

ISBN: (纸本)9781665463638

A simplified dual-output boosting inverter topology (DOBI) is proposed in this study. It can be used to supply two independent single-phase loads from a low voltage DC-power supply with fewer active and passive components. The output voltages can be at common frequency (CF) mode or different frequencies (DF) mode of operations. The DOBI topology uses a single inductor and capacitor to control boosting and inversion operations. Compared to the traditional dual output inverter, the proposed topology in this paper (DOBI) reduces the active switches by 25%, while compared to the basic Z-source-based dual output inverter, it reduces the passive elements by 50%. The main drawback of this topology is the high-frequency current commutation problem of the forward diodes. A novel carrier-based pulse width modulation scheme to obtain sinusoidal output voltage with low input current ripples of the proposed topology is presented in this paper. Moreover, the presented topology's operating principles and mathematical analysis are introduced. Finally, a simulation study is presented to confirm the theoretical study. © 2022 IEEE.

关键词： Topology

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COMPARATIVE ASSESSMENT OF SWARM-BASED MPPT TECHNIQUES IN MPC-BASED SINGLE-STAGE GRID-CONNECTED PV SYSTEM 19

COMPARATIVE ASSESSMENT OF SWARM-BASED MPPT TECHNIQUES IN MPC...

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19th International Conference on AC and DC Power Transmission, ACDC 2023

作者： Ahmed, Jubaer Bana, Prabhat R. Amin, Mohammad School of Computing Engineering & Built Environment Edinburgh Napier University Edinburgh United Kingdom Department of Electric Power Engineering Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781839538650

The predominant topology to connect the Photovoltaic (PV) system to the grid is the two-stage conversion process integrated with PI-based controllers. In the last decade, single-stage conversion has drawn significant attention due to relatively low conversion losses and installation costs. Operating a single stage grid connected PV system using the model predictive control (MPC) method is introduced in the literature very recently. Under such a scheme, the behaviours of the different maximum power point algorithms are still unknown. This paper investigates the performance of swarm-based Maximum Power Point Tracking (MPPT) techniques in MPC controlled single-stage grid-connected PV systems. For comparison, three algorithms namely particle swarm optimization, grey wolf optimization and artificial bee colony are chosen. All MPPT algorithms are cascaded with a continuous control set-based model predictive controller for inverter control. MPPT schemes are tested under uniform irradiance variation and partial shading conditions. It is observed that in a 12S30P PV configuration, an artificial bee colony performs slower tracking compared to the other two. Nevertheless, all three algorithms track the global MPP under all conditions successfully. The swarm-based MPPT techniques perform well with the MPC controller and a smooth AC signal is generated for grid integration. The total harmonic distortion (THD) is recorded as 3.05% in the steady state. © 2023 IET Conference Proceedings. All rights reserved.

关键词： Model predictive control

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Broker-Less OPC UA PubSub Communication Model Performance Analysis 30

Broker-Less OPC UA PubSub Communication Model Performance An...

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30th IEEE International Conference on Telecommunications, ICT 2024

作者： Homay, Aydin Chrysoulas, Christos Watt, Tess Wollschlaege, Martin De Sousa, Mario Maglaras, Leandros Technische Universität Dresden Faculty of Computer Science Dresden Germany School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh United Kingdom University of Porto Faculty of Engineering Porto Portugal

ISBN: (纸本)9798350356694

The advent of Industrial Internet of Things (IIoT) has accelerated the adoption of OPC UA (Object Linking and Embedding for Process Control Unified Architecture) PubSub communication models, enabling efficient data exchange in industrial automation systems. This study delves into the performance analysis of a broker-less OPC UA PubSub communication model, a paradigm gaining prominence for its potential to streamline communication in distributed systems. Our methodology involves the establishment of a representative test environment, configuration of OPC UA PubSub components without an intermediary broker, and the design of diverse test scenarios. The results of this performance analysis not only reveal the inherent capabilities of the broker-less OPC UA PubSub communication model but also identify potential bottlenecks and areas for optimization. This research advances our understanding of broker-less OPC UA PubSub communication models, offering empirical evidence of their performance in diverse scenarios. © 2024 IEEE.

关键词： Electronic data interchange

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