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Energy-Function Based Pilot Protection Scheme for Hybrid UHVDC Transmission Applying Improved Hausdorff Distance

CSEE Journal of Power and Energy systems 2024年第3期10卷 891-902页

作者： Zijiang Wang Youping Fan Ben Shang Yinbiao Shu School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Institute of Next Generation Power Systems&International Standards Wuhan UniversityWuhan 430072China CSEE IEEE

A hybrid UHVDC transmission system applying LCC as the rectifier and MMC as the inverter combines the advantages of both converter types,which makes this protection scheme more complicated.A new pilot protection scheme for a three-terminal hybrid DC transmission system applying energy functions is *** energy function for LCC is applied to MMC to derive the energy level of the hybrid ***,an improved Hausdorff distance(IHD)algorithm is proposed to detect the difference in energy levels between the normal and fault *** abrupt change in energy level is characterized by IHD change *** points at which the IHD change rate exceeds the threshold at converter stations are applied to determine the fault line and to estimate the fault *** proposed protection scheme is then verified by a simulation model of the Wudongde±800 kV three-terminal hybrid UHVDC transmission *** appropriate sampling frequency is selected for a real-time calculation,and the threshold is selected considering the effect of *** show the proposed scheme can identify and trip fault lines quickly and effectively,even for a 600Ωgrounding *** waveshape similarity algorithms are compared and *** with existing protection schemes,the proposed scheme transmits less data to improve communication speed and reliability.

关键词： Energy function Hausdorff distance pilot protection UHVDC transmission

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Towards Eight-Bit Quantization for 3D U-Net Medical Image Segmentation via ROI-Based Calibration and Background-Aware Shift

Towards Eight-Bit Quantization for 3D U-Net Medical Image Se...

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2024 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Kim, Soosung Cha, Mincheol Yi, Chaehag Nguyen, Xuan Truong Chungang University Department of Electrical and Computer Engineering Seoul Korea Republic of Seoul National University Department of Electrical and Computer Engineering Seoul Korea Republic of Seoul National University Department of Next Generation Semiconductor Convergence and Open Sharing System Seoul Korea Republic of

ISBN: (纸本)9798331530839

3D U-Net medical image segmentation is essential for precise diagnosis and treatment planning but comes with massive bandwidth requirements and considerable computational costs. Eight-bit fixed-point quantization is crucial for efficient 3D U-Net inference on modern deep learning accelerators. However, quantizing a 3D U-Net model is non-trivial and frequently leads to unfavorable accuracy degradation. We empirically observed that large range imbalances between tumor/non-tumor voxels and foreground/background areas are the main contributing factors. Based on these findings, we propose an eight-bit quantization method with a simple yet effective ROI-based calibration and a background shift that captures outliers in tumor areas to avoid accuracy degradation. Moreover, our method incorporates instance normalization folding, which eliminates computation-intensive operations during inference. Experimental results on the KITS19 dataset show that the proposed method with integer-only arithmetic achieves a negligible accuracy drop, i.e., 0.4%p in the dice score, compared to the FP32 model. © 2024 IEEE.

关键词： Image segmentation

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Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion

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computers, Materials & Continua 2022年第3期70卷 4691-4705页

作者： Ibrahim M.Mehedi Mohd Heidir Mohd Shah Soon Xin Ng Abdulah Jeza Aljohani Mohammed El-Hajjar Muhammad Moinuddin Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Next Generation Wireless Research Group University of SouthamptonUK

This paper presents the design and implementation of Adaptive Generalized Dynamic Inversion(AGDI)to track the position of a Linear Flexible Joint Cart(LFJC)system along with vibration suppression of the flexible *** proposed AGDI control law will be comprised of two control *** baseline(continuous)control law is based on principle of conventional GDI approach and is established by prescribing the constraint dynamics of controlled state variables that reflect the control *** control law is realized by inverting the prescribed dynamics using dynamically scaledMoore-Penrose generalized *** boost the robust attributes against system nonlinearities,parametric uncertainties and external perturbations,a discontinuous control law will be augmented which is based on the concept of sliding mode *** discontinuous control law,the sliding mode gain is made adaptive in order to achieve improved tracking performance and chattering *** closed-loop stability of resultant control law is established by introducing a positive define Lyapunov candidate function such that semi-global asymptotic attitude tracking of LFJC system is *** computer simulations followed by experimental investigation will be performed on Quanser’s LFJC system to authenticate the feasibility of proposed control approach for its application to real world problems.

关键词： Adaptive control generalized dynamic inversion moore-penrose generalized inverse sliding mode control lyapunov stability semi-global asymptotic stability

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Multimedia Fingerprinting Codes Resistant to Linear Attacks and Adversarial Noise

Multimedia Fingerprinting Codes Resistant to Linear Attacks ...

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2023 International Symposium on Networks, computers and Communications, ISNCC 2023

作者： Fernandez, Marcel Kabatiansky, Grigory Kamel, Ibrahim Miao, Ying Rabie, Tamer Farouk The Technical University of Catalonia Department of Network Engineering Spain Center for Next Generation Wireless and IoT Skolkovo Institute of Science and Technology Russia University of Sharjah Electrical and Computer Engineering United Arab Emirates Institute of Engineering Information and Systems University of Tsukuba Japan

ISBN: (纸本)9798350335590

It has recently been shown that there are no multimedia fingerprinting codes that can find all malicious users when they use arbitrary linear attacks plus adversarial noise. It is shown that such codes exist if the complete recovery property is limited to the IPP property, i.e., the property to find at least one malicious user. Moreover, we extend this property to a property that allows us to detect all users whose contribution to the forgery is large enough. Efficient decoding (tracing traitors) algorithms are developed for these codes. © 2023 IEEE.

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An Experimental Investigation into High Bandwidth Wireless Communication Standards for the Underground Mine Stope 16

An Experimental Investigation into High Bandwidth Wireless C...

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16th IEEE AFRICON, AFRICON 2023

作者： Chetty, Brenton Lloyd Isaac, Sherrin John Walingo, Tom Electronic and Computer Engineering University of KwaZulu-Natal Department of Electrical Durban South Africa Next Generation Enterprises and Institutions Council for Scientific and Industrial Research Pretoria South Africa

ISBN: (纸本)9798350336214

There are many challenges associated with developing a feasible wireless communication system for the harsh underground mining environment. Radio signals suffer from strong attenuations due to the excessive reflections, diffractions, scatterings, and multipath caused by the irregular surface characteristics of the stope. This necessitates the need for a robust underground mine wireless communication network that can withstand these phenomena. The network will still need to provide enough bandwidth for productivity enhancement applications as well as maintain low latency alongside robustness for critical mine safety applications. Coded OFDM (COFDM) was identified as the wireless standard for dealing with the harsh mining environment. However, due to the standard not being mainstream, the implementation of such a system will be extremely expensive. This research identifies the possibility of utilising Wi-Fi6 (***) which utilizes Orthogonal Frequency Division Multiple Access (OFDMA) as a more cost-effective alternative as compared to COFDM. Experimental investigations for comparing COFDM and Wi-Fi6 have been conducted in terms of latency, jitter and throughput measurements in several different topology and configurations. The uncoded Wi- Fi6 was found to be quite capable for high bandwidth productivity enhancement applications for the stope at an economical price point as compared to the more robust COFDM. Hence the more expensive COFDM should only be deployed for the critical mine safety applications. © 2023 IEEE.

关键词： Frequency division multiple access

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Virtual Sensing of Room Activity Using Passive Environmental Sensors

Virtual Sensing of Room Activity Using Passive Environmental...

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International Conference on Internet of Things 2024, ICIoT 2024

作者： Li, Yeqin Chieng, David Kwong, Chiew Foong Lee, Boon Giin Zhang, Yunfan Wang, Yin Lin, Ting-Jung Next-Generation Internet of Everything Laboratory Department of Electrical and Electronic Engineering University of Nottingham Ningbo China Ningbo China School of Computer Science University of Nottingham Ningbo China Ningbo China Department of Electrical and Computer Engineering Duke University United States HealthyPhoton Technology Co. Ltd. Ningbo315042 China

A data-driven approach has been developed to classify indoor activities using only commonly available passive environmental sensors, such as CO2, temperature, humidity, and passive infrared (PIR). An integrated IoT system comprising of sensor nodes, edge node and an intelligent server is designed and developed to provide real-time activity classification. Spectral Clustering and bidirectional long short-term memory (BiLSTM) are employed to achieve automatic labeling and room state prediction. The results show that the overall classification accuracy ranges from 88% to 96% for five target states across three distinct environments using CO2 and PIR values as input variables. Additionally, incorporating more input variables has been evaluated to access the ability of real-time classification of proposed model. An innovative monitoring mode can provide a different approach for detecting activities and occupancy in the future. © The Institution of engineering & Technology 2024.

关键词： Sensor nodes

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Network-Based Design of Reactive Beamforming Metasurfaces

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IEEE Transactions on Antennas and Propagation 2025年

作者： Almunif, Malik Alsolamy, Faris Grbic, Anthony University of Michigan Electrical and Computer Engineering Department Ann ArborMI48109 United States Next Generation Connectivity Institute Saudi Arabia

The paper introduces a microwave network-based technique to design beamforming metasurfaces. The metasurface consists of a grid of unit cells, each connected to a port. The impedance matrix that characterizes the metasurface is computed using a commercial electromagnetic full-wave solver to account for coupling between the unit cell ports. To achieve beam steering and shaping, the ports are terminated with reactive loads optimized through network theory. The metasurface can function either as a directly-fed antenna or reflector by simply changing the reactive loads. This design technique is applied to a metasurface of aperture-coupled unit cells consisting of three layers: a patch, a slotted ground plane, and a microstrip line with ports. The unit cell topology ensures good isolation between the radiated field and the reactive loads. Several design examples are presented and validated through full-wave solver, highlighting the technique’s potential for generating multi-beam metasurface designs. © 1963-2012 IEEE.

关键词： Beamforming

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D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission

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IEEE Transactions on Communications 2024年第6期72卷 3305-3322页

作者： Shen, Li-Hsiang Wu, Po-Chen Ku, Chia-Jou Li, Yu-Ting Feng, Kai-Ten Liu, Yuanwei Hanzo, Lajos National Central University Department of Communication Engineering Taoyuan320317 Taiwan Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom University of Southampton Next Generation Wireless Research Group SouthamptonSO17 1BJ United Kingdom

The joint uplink/downlink (JUD) design of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) is conceived in support of both uplink (UL) and downlink (DL) users. Furthermore, the dual STAR-RISs (D-STAR) concept is conceived as a promising architecture for 360-degree full-plane service coverage, including UL/DL users located between the base station (BS) and the D-STAR as well as beyond. The corresponding regions are termed as primary (P) and secondary (S) regions. Both BS/users exist in the P-region, but only users are located in the S-region. The primary STAR-RIS (STAR-P) plays an important role in terms of tackling the P-region inter-user interference, the self-interference (SI) from the BS and from the reflective as well as refractive UL users imposed on the DL receiver. By contrast, the secondary STAR-RIS (STAR-S) aims for mitigating the S-region interferences. The non-linear and non-convex rate-maximization problem formulated is solved by alternating optimization amongst the decomposed convex sub-problems of the BS beamformer, and the D-STAR amplitude as well as phase shift configurations. We also propose a D-STAR based active beamforming and passive STAR-RIS amplitude/phase (DBAP) optimization scheme to solve the respective sub-problems by Lagrange dual with Dinkelbach's transformation, alternating direction method of multipliers (ADMM) with successive convex approximation (SCA), and penalty convex-concave procedure (PCCP). Our simulation results reveal that the proposed D-STAR architecture outperforms the conventional single RIS, single STAR-RIS, and half-duplex networks. The proposed DBAP of D-STAR outperforms the state-of-the-art solutions found in the open literature for different numbers of quantization levels, geographic deployment, transmit power and for diverse numbers of transmit antennas, patch partitions as well as D-STAR elements. © 1972-2012 IEEE.

关键词： Beamforming

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A Novel Approach to Reduce A Visual Gap Using Inpainting GAN

A Novel Approach to Reduce A Visual Gap Using Inpainting GAN

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2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023

作者： Truong, Thanh Hien Lee, Tae-Ho Munasinghe, Viduranga Kim, Tae-Sung Kim, Jin-Sung Lee, Hyuk-Jae Seoul National University Electrical and Computer Engineering Korea Republic of Seoul National University Next-Generation Semiconductor Convergence and Open Sharing System Korea Republic of Sun Moon University Department of Electronic Engineering Korea Republic of

ISBN: (纸本)9798350344318

Image blending represents a technique employed in image composition, aimed at creating a composite image that appears as natural and realistic as possible. The objective of image blending is to ensure that the transitions between objects in the image appear seamless and without any color distortion. Recently, numerous studies investigated image blending methods adopting deep learning-based image processing algorithms and contributed to generating natural blended images. Although the previous studies show remarkable performance in many cases, they suffer from quality drop when blending incompletely cropped object. This paper introduces a novel approach that effectively reduces the unnatural edges and the color distortion in such cases. In this study, an algorithm which called edge checking (EC) is proposed to identify and manage incompletely cropped regions. To address missing or masked parts of the object image and integrate them into the image blending process, an inpainting generative adversarial model are employed. © 2023 IEEE.

关键词： Generative adversarial networks

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Enhancing Robotic Grasp Failure Prediction Using A Pre-hoc Explainability Framework*

Enhancing Robotic Grasp Failure Prediction Using A Pre-hoc E...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Cagla Acun Ali Ashary Dan O. Popa Olfa Nasraoui Dept. of Computer Science & Engineering Knowledge Discovery & Web Mining Lab Next Generation Systems Group

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Enhancing the explainability of machine learning (ML) models is crucial for bridging their use gap for practical applications of robotic autonomy. The common standard for adding explainability has been to use a post-hoc explanation approach. However, post-hoc approaches have recently attracted criticism for their lack of transparency, specifically because the post-hoc methods learn a surrogate model after the predictive model has already been learned, which means that the explanations are not authentically explaining the model’s behavior. This study aims to add explainability to the task of robot grasping failure prediction using Factorization Machines as the predictive model and using a novel pre-hoc explainability framework to learn an explainable Factorization Machine model. Unlike post-hoc methods, pre-hoc explainability starts with learning the explainable model before training the black-box model and then provides guidance while learning the latter to make predictions that are faithful to the explanations through a regularization mechanism. Through a detailed case study, we explore the trade-off between prediction accuracy and explanation fidelity and show that our framework is able to make predictions that are more accurate than an explainable white-box model while simultaneously learning a model whose pre-hoc explanations achieve a high level of fidelity relative to the predictions. Results show that our framework can predict the robustness of the grasp with 83% accuracy while explaining that increased effort exerted in Joint 2 of Finger 3 contributes tremendously to producing grasp failure, which is in contrast to increased efforts exerted at Joint 2 of Fingers 1 and 2 and at joint 1 of Finger 3, that all lead to reducing grasp failure.

关键词： Training Knowledge engineering Accuracy Fingers Grasping Predictive models Robustness Robots Standards Optimization

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