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23rd International Conference on Computational Science, ICCS 2023

作者： Ruszczak, Bogdan Wijata, Agata M. Nalepa, Jakub Faculty of Electrical Engineering Automatic Control and Informatics Department of Informatics Opole University of Technology Opole Poland Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Silesian University of Technology Gliwice Poland KP Labs Gliwice Poland

ISBN: (纸本)9783031360206

Non-invasive estimation of chlorophyll content in plants plays an important role in precision agriculture. This task may be tackled using hyperspectral imaging that acquires numerous narrow bands of the electromagnetic spectrum, which may reflect subtle features of the plant, and inherently offers spatial scalability. Such imagery is, however, high-dimensional, therefore it is challenging to transfer from the imaging device, store and investigate. We propose a machine learning pipeline for estimating chlorophyll content from hyperspectral data. It benefits from the Savitzky-Golay filtering to smooth the (potentially noisy) spectral curves, and from gradient-based features extracted from such a smoothed signal. The experiments revealed that our approach significantly outperforms the state of the art according to the widely-established estimation quality metrics obtained for four chlorophyll-related parameters. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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The effect of PV modules on temperature conditions of nearby power cables

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Frontiers in Energy Research 2025年 13卷

作者： Czapp, Stanislaw Szultka, Seweryn Tomaszewski, Adam Khan, Laiq Faculty of Electrical and Control Engineering Gdansk University of Technology Gdansk Poland Institute of Fluid-Flow Machinery Polish Academy of Sciences Gdansk Poland Department of Electrical and Computer Engineering COMSATS University Islamabad Pakistan

The highest permissible load of power cables (ampacity) depends strongly on the ambient temperature, which in the case of cables surrounded by free air is generally assumed to be 25°C. Considering the installation of photovoltaic (PV) modules, the thermal conditions for the cables connected to these modules may be very unfavorable. The cables are laid under the module and the space underneath it is heated by this module. The aim of the paper is to present a numerical model of an example PV module mounted on the roof of a building, as well as the results of numerical calculations of the temperature around the module. Based on the numerical model of the PV system and advanced calculations it is possible to introduce a correction factor to determine the ampacity of the power cables located in the vicinity of the PV module. The authors’ research allows for the correct determination of the cable ampacity, avoiding its overheating and preventing the risk of fire. Copyright © 2025 Czapp, Szultka, Tomaszewski and Khan.

关键词： ampacity energy photovoltaic source power cable power system thermal effect

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Structural Design and Thermal Management Efficiency Study of a High-Stability Doubly-Excited Synchronous Generator

Structural Design and Thermal Management Efficiency Study of...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Dan Li Yuhao Cao Wenmao Liu College of Computer and Control Engineering Northeast Forestry University Harbin China Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

In response to challenges arising from the large-scale integration of new energy sources into power systems, issues such as frequency and voltage stability, peak shaving capability, transient stability, and dynamic stability of the power grid have garnered considerable attention. The research on key equipment, namely the doubly-excited synchronous generator (DESG), characterized by robust stability and the capability for deep-phase operation, has become a focal point. However, addressing the diverse operational requirements under various conditions, the design of rotor topology and thermal balance of the DESG remain unresolved. This study presents a theoretical derivation of the mathematical model for the synchronous axis system of the DESG. Building upon this, an investigation into rotor topology design is conducted, considering factors such as rotor slot pitch, rotor excitation winding arrangements (symmetric and asymmetric, single-layer and double-layer, orthogonal and non-orthogonal), and air gap length. Additionally, a finite volume method is employed to explore the thermal balance issues and optimize the cooling structure of the DESG under stringent operating conditions. The research outcomes contribute theoretical foundations and technical support for the development of high-power doubly-excited synchronous generators by large-scale power generation equipment manufacturers.

关键词： Cooling Windings Rotors Voltage Power system stability Synchronous generators Stability analysis

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Comparative Techno-Economic-Environmental Analysis of HVDC and HVAC Technologies for an Offshore Wind Farm in China 7

Comparative Techno-Economic-Environmental Analysis of HVDC a...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Liang, Yingqi Wu, Shuangxi Liu, Yang Fu, Dongqiang Lee, Yan Rui Guo, Gengrui Luo, Tianhao Wang, Tianhao National University of Singapore Department of Electrical and Computer Engineering Singapore117576 Singapore Electric Power Dispatching and Control Center of Guangdong Power Grid Co. Ltd. Guangzhou510060 China

ISBN: (纸本)9798350345094

DC collection systems offer advantages by reducing the weight and size of DC cables without requiring reactive power compensation. This enables the replacement of the bulky 50/60 Hz transformers typically used in AC collection systems on offshore platforms with smaller medium-frequency transformers in DC collection configurations. Nonetheless, challenges persist in implementing high-power DC-DC converters with high-voltage transformation ratios and DC protection methods in DC collection systems. It is worth noting that while HVDC (High Voltage DC) transmission can transfer offshore wind power from collection systems to onshore grids, DC collection systems do not always result in fewer power conversion stages compared to AC collection systems. To tackle these challenges, this paper conducts a comparative analysis of the technological, economic, and environmental aspects of DC and AC collection systems for offshore wind farms, using a wind farm in China as an illustrative example. Our approach involves an innovative method for estimating losses and a technical comparison. Simulation results validate that DC collection systems exhibit higher total losses than AC collection systems. We also explore the impact of collection bus voltages on these losses in DC systems. Additionally, we develop an economic cost assessment method, and the sensitivity analysis results confirm that cost reductions primarily stem from the reduced size of DC cables and offshore platforms rather than improvements in DC protective devices and DC-DC converters. Lastly, we investigate the environmental implications of these systems. © 2023 IEEE.

关键词： Offshore wind farms

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A 3d-Pointcloud Based Semi-Automatic Private Dataset Generation Method for Specific 6d Pose Estimation Tasks

SSRN

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SSRN 2024年

作者： Lou, Yuanlong Fu, Dongxiang Tian, Ying Department of control science and Engineering School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

Deep learning algorithms often require high-quality datasets, but public datasets can be less effective for specific applications like visual robotic arm grasping. Generating private datasets traditionally involves time-consuming manual work or is limited by equipment constraints. To address this problem, a 3D-pointcloud based semi-automatic private dataset generation method for specific object pose detection task is proposed, which has broadly adaptive performance that can be done with only one binocular camera. Firstly, the RGBD data is used to automatically generate labeled point clouds. Then, the labels, which contain the target category and position information as well as the pose information are automatically generated from the point cloud. Only the denoising need simple manual processing, the rest of the steps are operated by the algorithm, so it is called semi-automatic method. Compared to manual labeling, experiments show this semi-automatic method significantly reduces time while maintaining accuracy. © 2024, The Authors. All rights reserved.

关键词： Object detection

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Energy-balancing dual-port grid-forming control for VSC-HVDC systems

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IFAC-PapersOnLine 2023年第2期56卷 6447-6452页

作者： Irina Subotić Dominic Groß Automatic Control Laboratory ETH Zürich Switzerland Department of Electrical and Computer Engineering University of Wisconsin-Madison USA

This work examines energy-balancing dual port grid-forming (GFM) control for high-voltage direct current (HVDC) transmission. In contrast to the state-of-the-art, HVDC converters controlled in this way do not require assigning GFM and grid-following roles to different converters. Moreover, this control enables primary frequency control and inertia support through HVDC links. A detailed stability and steady-state analysis results in conditions on the control gains such that i) the overall hybrid dc/ac system is stable, ii) asynchronous ac areas are quasi-synchronous, and iii) circulating power in cyclic topologies is avoided. Finally, a high-fidelity case study is used to illustrate and verify the analytical results.

关键词： Power systems Power systems stability Grid-forming control HVDC transmission

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Efficient Frameworks for EEG Epileptic Seizure Detection and Prediction

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Annals of Data Science 2022年第2期9卷 393-428页

作者： Emara, Heba M. Elwekeil, Mohamed Taha, Taha E. El-Fishawy, Adel S. El-Rabaie, El-Sayed M. El-Shafai, Walid El Banby, Ghada M. Alotaiby, Turky Alshebeili, Saleh A. Abd El-Samie, Fathi E. Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Security Engineering Laboratory Department of Computer Science Prince Sultan University Riyadh11586 Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt KACST Riyadh Saudi Arabia King Saud University Riyadh Saudi Arabia Department of Electrical Engineering King Saud University Riyadh11421 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh21974 Saudi Arabia

Seizure detection and prediction are a very hot topics in medical signal processing due to their importance in automatic medical diagnosis. This paper presents three efficient frameworks for applications related to electroencephalogram (EEG) signal processing. The first one is an automatic seizure detection framework based on the utilization of scale-invariant feature transform (SIFT) as an extraction tool. The second one depends on the utilization of the fast Fourier transform (FFT) and an artificial neural network for epileptic seizure prediction. Finally, an automated patient-specific framework for channel selection and seizure prediction is presented based on FFT. The simulation results show the success of the proposed frameworks for automated medical diagnosis. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Fast Fourier transforms

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Contrast enhancement of optical videoscope images

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Iran Journal of computer Science 2023年第3期6卷 261-275页

作者： Ammar, Reda Aboshosha, Sahar El-Hag, Noha A. Saifeldeen, Reda El-Shafai, Walid El-Banby, Ghada M. Ashiba, Huda I. Khalaf, Ashraf A. M. Elazm, Atef Abou El-Rabaie, El-Sayed M. Abd El-Samie, Fathi E. El-Safrawey, Amir Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Comm. Faculty of Engineering Minia University Minya Egypt Department of Management of Information Systems Higher Institute of Commercial Science El-Mahala El-Kobra Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Communications Engineering Bilbis Higher Institute of Engineering Sharqia Bilbis Egypt Security Engineering Laboratory Computer Science Department Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia

The videoscope (VS) images have poor quality and low contrast. Hence, in this paper, three proposed frameworks to improve the quality of VS images are presented. The first framework depends on contrast-limited adaptive histogram equalization (CLAHE) with adaptive gamma correction. The second framework depends on homomorphic processing. The third framework is based on the homomorphic enhancement with histogram equalization. The first one is superior from the entropy perspective, while the third one is superior from the contrast perspective. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Fuzzy enhancement Histogram equalization Homomorphic enhancement Spectral entropy

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Resilient Routing Table Computation Based on Connectivity Preserving Graph Sequences 42

Resilient Routing Table Computation Based on Connectivity Pr...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Tapolcai, Janos Babarczi, Peter Ho, Pin-Han Ronyai, Lajos Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Telecommunications and Media Informatics BudapestH-1111 Hungary University of Waterloo Deptartment of Electrical and Computer Engineering Canada Institute for Computer Science and Control Eötvös Loránd Research Networkand Department of Algebra Hungary Institute of Mathematics Budapest University of Technology and Economics BudapestH-1111 Hungary

ISBN: (纸本)9798350334142

Fast reroute (FRR) mechanisms that can instantly handle network failures in the data plane are gaining attention in packet-switched networks. In FRR no notification messages are required as the nodes adjacent to the failure are prepared with a routing table such that the packets are re-routed only based on local information. However, designing the routing algorithm for FRR is challenging because the number of possible sets of failed network links and nodes can be extremely high, while the algorithm should keep track of which nodes are aware of the failure. In this paper, we propose a generic algorithmic framework that combines the benefits of Integer Linear Programming (ILP) and an effective approach from graph theory related to constructive graph characterization of k-connected graphs, i.e., edge splitting-off. We illustrate these benefits through arborescence design for FRR and show that (i) due to the ILP we have great flexibility in defining the routing problem, while (ii) the problem can still be solved very fast. We demonstrate through simulations that our framework outperforms state-of-the-art FRR mechanisms and provides better resilience with shorter paths in the arborescences. © 2023 IEEE.

关键词： Graph theory

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The Effect of Disturbances on Plant-Model Mismatch Detection using the Plant-Model Ratio: A Surge Tank Case Study

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IFAC-PapersOnLine 2024年第22期58卷 24-29页

作者： Heinz K. Mittermaier Johan D. le Roux Ian K. Craig Measurement and Control Division Mintek Randburg South Africa. Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa.

The surge tank in a bulk tailings treatment plant aims to reject flow and density disturbances. However, for large disturbances, there may be an inversion in the gain between the water inflow and tank slurry density for a linearized model of the plant. The plant-model ratio (PMR) is a method to diagnose model-plant mismatch (MPM), such as gain-inversion, in the absence of disturbances. This article evaluates the influence of disturbances on the ability of the PMR to diagnose MPM for the surge tank. If the disturbance is measured, as in the case of the surge tank, the PMR is able to detect MPM such as gain-inversion. A controller can be adapted according to the MPM information from the PMR diagnosis.

关键词： controller performance monitoring model predictive control model-plant mismatch process performance monitoring surge tank

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