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Robust Three-Dimensional Near-Field Source Localization Method Based on Deep Feature Fusion Extraction Network

IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Chen, Hua Zhang, Wanjun Teng, Liping Liu, Wei Yang, Songjie Yuen, Chau Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China Nantong University School of Information Science and Technology Nantong226019 China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong Hong Kong University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu610054 China Nanyang Technological University School of Electrical and Electronics Engineering Singapore639798 Singapore

A deep learning (DL) based approach for near-field (NF) source localization is introduced to enhance the accuracy and robustness in both direction of arrival (DOA) and range estimation. The received data is first preprocessed by leveraging temporal and spatial correlation of the incident signals and symmetry of the employed cross array. This preprocessing step achieves parameter decoupling, reduces mutual interference between different features and simplifies the model training process. Next, a feature fusion extraction network (FFEN) is proposed, which mainly consists of a feature fusion network (FFN) and a feature extraction network (FEN). Adopting a multiple-input-multiple-output (MIMO) model structure, FFEN transforms the NF parameter estimation problem into a multi-task learning problem. The network adopts a dual-branch strategy for processing input data, which enables the extraction and learning of diverse parameter features from the data stream, thereby acquiring comprehensive information of all parameters of interest. Utilizing residual connections and introducing attention mechanisms allows the network to focus on important features within the input data, avoiding issues like gradient vanishing and network degradation, and subsequently, the three branches output labels for different parameters separately. This design ensures the network's efficiency and accuracy when dealing with complex multi-task learning problems. Experimental results demonstrate that the proposed method achieves high-precision parameter estimation with good generalization capabilities, and it also outperforms traditional model-driven approaches. © 2015 IEEE.

关键词： Multi-task learning

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A Pervasive Achievement of Iterative Mean Filter for An Outlier Extinguish Objective on FVIN

A Pervasive Achievement of Iterative Mean Filter for An Outl...

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2022 International Conference on Power, Energy and Innovations, ICPEI 2022

作者： Patanavijit, Vorapoj Wasayangkool, Kitipoth Srisomboon, Kanabadee Thakulsukanant, Kornkamol Assumption University of Thailand Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9781665460194

ISBN: (纸本)9781665460194

For outlier extinguish investigating population, especially on the impulsive outlier, the outlier extinguish approach is a prevalent process, which is first executed before other progress operations therefore the iterative mean filter (IMF) is originated for FVIN (Fix Value Impulsive Noise) and turned into one of the most achievement outlier extinguish approach. This academic article addresses to prospect the outlier extinguish approach established on IMF, which is originated from mean filter in order to carry out the deficiency of the foregoing outlier extinguish approach, for FVIN at omnipresent scattering of outlier consistency (5%-90%). In the experimental analysis, abundant outlier figures, which are unified of F16, Girl, Lena and Pepper at omnipresent scattering of outlier consistency, are examined for analyzing the achievement of an outlier extinguish approach established on iterative mean filter. From these results, the outlier extinguish approach established on IMF has superior achievement, in contrast with SMF, MF, AMF. © 2022 IEEE.

关键词： Median filters

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An Enhanced Deep Super-Resolution Generative Adversarial Network Approach for Skin Disease Image Regeneration and Assessment

An Enhanced Deep Super-Resolution Generative Adversarial Net...

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Electronic engineering (ICEEM), International Conference on

作者： Ibrahim Abd El-Fattah Taha E. Taha Walid El-Shafai Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department Electronics and Electrical Communications Engineering Alexandria Higher Institute of Engineering and Technology (AIET) Alexandria Egypt Computer Science Department Security Engineering Lab Prince Sultan University Riyadh Saudi Arabia

Skin cancer is a critical medical concern, posing significant challenges in accurate diagnosis. Algorithmic approaches have seen remarkable advancements across various occupations, including skin disease assessment. This study introduces a distinctive Improved Deep Super-Resolution Generative Adversarial Network (I_DSUR-GAN) methodology for regenerating low-resolution (LOR) skin disease images into super-resolution (SUR) format. Additionally, a modified SUR-dataset inspired by HAM10000 is presented for skin disease applications. The proposed approach incorporates a novel loss function design to provide supplementary information, facilitating the creation of high-quality SUR images. Experimental results demonstrate that our method outperforms existing approaches on the HAM10000 dataset. A comprehensive evaluation and employing sensitive metrics is conducted to assess the effectiveness, training periods, and memory requirements of the proposed framework. The outcomes reveal that the suggested model excels in restoring and identifying hue and texture compared to conventional and earlier models.

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DNR Optimization for Loss Reduction and Voltage Stability Considering EV Charging Load 9

DNR Optimization for Loss Reduction and Voltage Stability Co...

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9th IEEE International Conference on Power and Energy, PECon 2022

作者： Saedi, Azrin Abu Hanifah, Mohd Shahrin Ladin, Hilmi Hela Peeie, Mohamad Heerwan Ghafar, Halim International Islamic University Malaysia Dept. of Electrical and Computer Eng. Gombak Malaysia International Islamic University Malaysia Department of Mechanical Engineering Gombak Malaysia Universiti Malaysia Pahang Faculty of Mechanical Engineering Pekan Malaysia

ISBN: (数字)9781665409902

ISBN: (纸本)9781665409902

In recent years, electric vehicles (EVs) have been a countermeasure to the serious carbon emission problem in the transportation sector. However, despite being one of the essential infrastructures in the EV ecosystem, the EV charging load causes voltage instability and increases power losses in the distribution network. Thus, this paper proposed optimizing distribution network reconfiguration (DNR) to solve the problem. The best two metaheuristic methods, Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO) were compared to get the optimum solution. It was tested on the IEEE 33-bus system in the MATLAB environment with various cases of charging activity. As a result, the CSA showed better consistency with better power loss reduction and voltage stability compared to PSO. © 2022 IEEE.

关键词： Electric power distribution

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Coherence Big Data Space Division Multiplexing

Coherence Big Data Space Division Multiplexing

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Fazea, Yousef Alobaedy, Mustafa Muwafak Alsamman, Mohamed Mohammed, Fathey Marshall University Department of Computer Sciences and Electrical Engineering HuntingtonWV25755 United States City University Malaysia Faculty of Information Technology Petaling Jaya46100 Malaysia School of Computing Universiti Utara Malaysia Kedah06010 Malaysia Sunway Business School Sunway University Selangor 47500 Malaysia

ISBN: (纸本)9798350364910

Modal dispersion is well recognized as multimode fiber's primary limitation, leading to connection failures when transmitting huge volumes of data. Numerous central launch conditions have been employed to overcome this obstacle, which had a significant effect on a failure in the connection. These conditions solely induce the primary propagation mode. The potential of utilizing the different light channels in multimode fiber for data centers has not been effectively used. Nevertheless, these fiber modes have the potential to be advantageous for large data applications. At the donut level, beams facilitate the transmission of separate data streams, leading to a higher total bandwidth. The novelty of this work lies in the utilization of the donut beam to optimize computing performance at the infrastructure layer, which, in turn, improves data analytics at the middleware and application layers. By utilizing a central wavelength of 1550.12 nm, achieving a transmission rate of 14 gigabits per second is feasible across a maximum distance of 1200 meters. © 2024 IEEE.

关键词： Middleware

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Hysteresis Current control of Buck-Boost Non-Isolated Onboard Charger for Electric Vehicles

Hysteresis Current Control of Buck-Boost Non-Isolated Onboar...

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Annual Conference of Industrial Electronics Society

作者： Hasan Komurcugil Naki Guler Sertac Bayhan Ozan Gulbudak Department of Computer Engineering Eastern Mediterranean University Famagusta Turkey Department of Electrical-Electronic Engineering Technology Faculty Gazi University Ankara Turkey Qatar Environment and Energy Research Institute Doha Qatar Department of Electrical & Electronics Engineering Karabuk University Turkey

This paper proposes a hysteresis current control (HCC) method for a single-inductor buck-boost non-isolated onboard charger for electric vehicles. The charger is capable of working both in the boost and buck modes. The proposed HCC relies on the buck-boost inductor current and its reference which is generated using a proportional-resonant (PR) controller using grid current error. The reference current generated by PR controller is modified to suppress the oscillations in the inductor currents. An active damping by using a virtual resistor connected in series to filter inductor is used which does not require an additional sensor. A proportional-integral (PI) controller is used to generate the amplitude of grid current reference, which is utilized in constant current (CC) and constant voltage (CV) modes. The effectiveness of the proposed control strategy as well as the control method, is investigated by simulation studies by considering two different battery voltage levels (48V and 350V). The results show that the proposed method is able to charge the battery in CV and CC modes. Moreover, the grid current is maintained in unity power factor at a reasonably low total harmonic distortion (THD) which is smaller than the limits recognized by international standards.

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Robust Voltage Regulation for DC Microgrids via Passivity-Based Sliding Mode control

Robust Voltage Regulation for DC Microgrids via Passivity-Ba...

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International Workshop on Variable Structure Systems, VSS

作者： Edoardo Vacchini Michele Cucuzzella Pablo Borja Antonella Ferrara Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen (ENTEG) Faculty of Science and Engineering University of Groningen Groningen The Netherlands School of Engineering Computing and Mathematics University of Plymouth Plymouth U.K.

ISBN: (数字)9798350353686

ISBN: (纸本)9798350353693

This paper proposes a decentralized sliding mode control approach to the voltage regulation problem in a DC microgrid consisting of distributed generation units interconnected with each other through resistive-inductive power lines and supplying unknown nonlinear loads. In particular, the port-Hamiltonian structure of the system suggests the design of a suitable sliding manifold such that the system on this manifold exhibits desired passivity properties. This approach simplifies the control design and relaxes some restrictive assumptions required by other controllers proposed in the literature, while offering satisfactory performance.

关键词： Manifolds Variable structure systems Power transmission lines Microgrids Power system stability Stability analysis Robustness Reduced order systems Voltage control Sliding mode control

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On the Stability of Strategic Energy Storage Operation in Wholesale Electricity Markets (Extended Version)

arXiv

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arXiv 2024年

作者： Navon, Aviad Belikov, Juri Orda, Ariel Levron, Yoash The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering Technion—Israel Institute of Technology Israel The Department of Software Science Tallinn University of Technology Estonia

High shares of variable renewable energy necessitate substantial energy storage capacity. However, it remains unclear how to design a market that, on the one hand, ensures a stable and sufficient income for storage firms, and, on the other hand, maintains stable and affordable electricity costs for the consumers. Here, we use a game theoretic model to study storage competition in wholesale electricity markets. A main result is that these types of games are not necessarily stable. In particular, we find that under certain conditions, which imply a combination of a high share of variable renewable energy sources and low flexibility of conventional power plants, the system will not converge to an equilibrium. However, we demonstrate that a price cap on storage price bids can ensure convergence to a stable solution. Moreover, we find that when the flexibility of conventional power plants is low, while the storage usage for energy balancing increases with renewable energy generation, the profitability of using storage for the sole purpose of energy arbitrage decreases. Copyright © 2024, The Authors. All rights reserved.

关键词： Game theory

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Dynamic Load Frequency control for Small Signal Stability Analysis in Steam Plant with Reheater 21

Dynamic Load Frequency Control for Small Signal Stability An...

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21st IEEE International Symposium on Intelligent Systems and Informatics, SISY 2023

作者： Shahgholian, Ghazanfar Fathollahi, Arman Mosavi, Amirhosein Islamic Azad University Smart Microgrid Research Center Najafabad Branch Najafabad Iran Aarhus University Department of Electrical and Computer Engineering Aarhus Denmark John von Neumann Faculty of Informatics Budapest Hungary Ludovika University of Public Service Budapest Hungary

ISBN: (纸本)9798350343366

Steam energy plants are the fundamental source of electricity in the world, which has a large share of renewable energy. Load changes impact the frequency of electrical networks. Frequency stabilization is very important based on the boosting influence of renewable power sources in energy systems. The main task of load frequency control is to keep the system frequency according to the determined nominal value and to maintain the correct amount of exchange energy between the control areas. Maintaining the output power and actual frequency of the interconnected energy system and controlling the variation in power along the connection link between control areas are the central objectives of load frequency control (LFC). In this work, the purpose is to analyze and investigate load frequency control in a two-area energy system. Each area contains a steam turbine with a reheater. The system equations are expressed in state space and analyzed in MATLAB software. The simulation outcomes demonstrate the impact of changes in the gain parameters of the equivalent power system model and high-pressure coefficient in an area. © 2023 IEEE.

关键词： Thermoanalysis

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High-Gain Wideband CP S-shaped Slot Antenna with Metasurface Reflector for UHF-RFID Readers

High-Gain Wideband CP S-shaped Slot Antenna with Metasurface...

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2022 International electrical engineering Congress, iEECON 2022

作者： Supreeyatitikul, Nathapat Boonpoonga, Akkarat Phongcharoenpanich, Chuwong King Mongkut's Institute of Technology Ladkrabang School of Engineering Bangkok10520 Thailand Faculty of Engineering King Mongkut's University of Technology North Bangkok Research Center of Innovation Digital and Electromagnetic Technology Department of Electrical and Computer Engineering Bangkok10800 Thailand

ISBN: (纸本)9781665402064

This research proposes a high-gain wideband circularly polarized (CP) S-shaped slot antenna with metasurface (MTS) reflector for UHF-RFID handheld readers. The proposed antenna consisted of the S-shaped slot antenna with coplanar waveguide feed on the upper substrate and 4 × 4 periodically-arranged plus-sign-shaped slot MTS unit cells on the lower substrate functioning as a reflector. The MTS reflector was utilized to realize the high-gain of the CP S-shaped slot antenna. To achieve wide impedance bandwidth (IBW) and axial ratio bandwidth (ARBW), the evolution of the antenna was developed in four stages. The simulated IBW and ARBW of the Antenna IV (proposed antenna) at 0.9 GHz (center frequency) were 37.7% (0.66-1 GHz) and 27.7% (0.72-0.97 GHz), respectively. In addition, the maximum gain was 7.56 dBic at 0.78 GHz with left-hand circular polarization (LHCP) radiation characteristics. The dimension of the proposed antenna was 0.35?0 × 0.35?0 × 0.195?0. © 2022 IEEE.

关键词： Coplanar waveguides

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