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arXiv 2025年

作者： Mizmizi, Marouan Alkhateeb, Ahmed Spagnolini, Umberto Department of electronics Information and Bioengineering Politecnico di Milano Milano20133 Italy School of Electrical Computer and Energy Engineering Arizona State University United States

As 6G networks evolve, the upper mid-band spectrum (7 GHz–24 GHz), or frequency range 3 (FR3), is emerging as a promising balance between the coverage offered by sub-6 GHz bands and the high-capacity of millimeter wave (mmWave) frequencies. This paper explores the structure of FR3 hybrid MIMO systems and proposes two architectural classes: Frequency Integrated (FI) and Frequency Partitioned (FP). FI architectures enhance spectral efficiency by exploiting multiple subbands parallelism, while FP architectures dynamically allocate sub-band access according to specific application requirements. Additionally, two approaches—fully digital (FD) and hybrid analog-digital (HAD)—are considered, comparing shared (SRF) versus dedicated RF (DRF) chain configurations. Herein signal processing solutions are investigated, particularly for an uplink multi-user scenario with power control optimization. Results demonstrate that SRF and DRF architectures achieve comparable spectral efficiency;however, SRF structures consume nearly half the power of DRF in the considered setup. While FD architectures provide higher spectral efficiency, they do so at the cost of increased power consumption compared to HAD. Additionally, FI architectures show slightly greater power consumption compared to FP;however, they provide a significant benefit in spectral efficiency (over 4×), emphasizing an important trade-off in FR3 engineering. © 2025, CC BY-SA.

关键词： Spectrum efficiency

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Adaptive Rate Reaching Law Based Sliding Mode Control for a Three-Phase F-type Converter Operated as Bidirectional Battery Charger and SAPF

Adaptive Rate Reaching Law Based Sliding Mode Control for a ...

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Annual Conference of Industrial electronics Society

作者： Hasan Komurcugil Naki Guler Sertac Bayhan Seyfullah Dedeoglu Department of Computer Engineering Eastern Mediterranean University Famagusta Türkiye Department of Electrical-Electronic Engineering Technology Faculty Gazi University Ankara Türkiye Qatar Environment and Energy Research Institute Hamad Bin Khalifa University Doha Qatar Department of Electrical and Electronics Engineering Faculty of Engineering Hitit University Çorum Türkiye

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

This paper presents an adaptive rate reaching law based sliding mode control method for a three-phase F-type converter. Unlike the existing reaching laws in which the gain is always constant, the proposed reaching law employs an adaptive gain that is continuously updated with the grid current errors. This means that the gain can reach to its smallest value when the grid current errors are zero. It is shown that the minimum gain reduces the reaching time. As a consequence of using adaptive gain, the dynamic response of system is improved considerably (i.e: the reaching time is reduced). Moreover, it is shown that the three-phase F-type converter can be operated as bidirectional battery charger as well as shunt active power filter (SAPF) for compensating the nonlinear loads connected at the point of common coupling. The proposed control and correct operation of system are validated by MATLAB/Simulink simulations under various operating conditions which include battery charging mode, battery discharging mode, and simultaneous operation as SAPF and battery charging/discharging.

关键词： Battery chargers Industrial electronics Dynamic response Couplings Simulation Active filters Batteries MATLAB Sliding mode control Load modeling

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A Dual Linearly Polarized Array for 5G FR2

A Dual Linearly Polarized Array for 5G FR2

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European Conference on Antennas and Propagation, EuCAP

作者： Marco Simone Santi Concetto Pavone Matteo Bruno Lodi Nicola Curreli Giacomo Muntoni Alessandro Fanti Gino Sorbello Giuseppe Mazzarella Department of Electrical Electronics and Computer Engineering University of Catania Catania Italy Consorzio Interuniversitario per le Telecomunicazioni (CNIT) Parma Italy Department of Electrical and Electronic Engineering University of Cagliari Cagliari Italy Istituto Italiano di Tecnologia Genova Italy

This paper presents a dual linearly polarized antenna array for the mm-wave band of 5G. The antenna element is a cross-dipole, suitable to obtain two orthogonal radiated fields, independently steerable in array arrangement. The design is conceived to allow its manufacturing in printed circuit board technology, so that the main focus of the work is to simplify as much as possible the geometry and the constructive critical issues. The antenna conductors and the feeding network (engineered in coplanar waveguide technology) are realized in the same laminate, and a second board is applied onto to implement the balun. This upper dielectric layer acts as superstrate on the dipoles as well. The overall structure, which consists of two printed circuit board laminates and a low-loss resin layer that holds them together, is less than 2 mm thick. The antenna has a 7% bandwidth around 27.28 GHz, and a steering capability which covers a ±30% angular width for both the linear polarizations.

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Multilevel stacked deep learning assisted techno-economic assessment of hybrid renewable energy system

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Frontiers in Energy Research 2024年 12卷

作者： Kumar, Mantosh Namrata, Kumari Samadhiya, Akshit Kumar, Nishant Azar, Ahmad Taher Kamal, Nashwa Ahmed Hameed, Ibrahim A. Department of Electrical Engineering National Institute of Technology Jamshedpur India Department of Electrical and Electronics Engineering School of Engineering and Technology Sandip University Nashik India Department of Electrical Engineering B.K. Birla Institute of Engineering and Technology Pilani India College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Prince Sultan University Riyadh Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University Benha Egypt Faculty of Engineering Cairo University Giza Egypt Department of ICT and Natural Sciences Norwegian University of Science and Technology Alesund Norway

The growing energy demand and target for net zero emission compelling the world to increase the percentage of clean energy sources which are freely available and abundant in nature. To fulfil this, a hyperparametric tuned multilevel deep learning stacked model assisted grid-connected hybrid renewable energy system (HRES) has been developed. The proposed system has been subjected to techno-economic assessment with a novel application of the rime-ice (RIME) optimization algorithm to determine the lowest possible cost of electricity (COE) corresponding to the best HRES system components. The analysis has been carried out for the residents of the eastern part of India. The results show that the prediction accuracy of the solar irradiance and wind speed are 95.92% and 95.80% respectively which have been used as inputs for the HRES. The proposed optimization used has shown the lowest COE of Rs. 4.65 per kWh and total net present cost (TNPC) of 7,247 million INR with a renewable factor of 87.88% as compared to other optimizations like GWO, MFO and PSO. Further sensitivity analysis and power flow analysis for three consecutive days carried out have also been done to check the reliability of the HRES and its future perceptiveness. Copyright © 2024 Kumar, Namrata, Samadhiya, Kumar, Azar, Kamal and Hameed.

关键词： Clean energy

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Development and Evaluation of Sequential Batch Reactor with Natural Coagulants for Dairy Waste Water Treatment

Development and Evaluation of Sequential Batch Reactor with ...

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Mobile Computing and Sustainable Informatics (ICMCSI), International Conference on

作者： R. Sheela Daniel S. Sundararajan C. Antony Vasantha Kumar J. Nirmal Jothi R. Santhana Krishnan C. Ramasamy Sankar Ram Department of Civil Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Mechanical Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology School of Electrical and Communication Chennai India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Computer Science and Engineering University College of Engineering Anna University Tiruchirappalli India

India is often heralded as the "Cynosure" of the global dairy industry, boasting a staggering valuation of INR 14,899.8 billion in 2022. This industry has exhibited remarkable and sustained growth in milk product availability since the year 1998. However, it's imperative to concede that the dairy sector concurrently bears the dubious distinction of being one of the most ecologically burdensome industries, primarily due to its substantial effluent output. Approximately 50% of the total dairy wastewater emanates from the rinsing of processing units intricately involved in the production of dairy commodities. The sources of this wastewater are multifarious, encompassing spills and seepage from pipelines, suboptimal tanker drainage, foaming incidents, tank spillages, cleaning operations, and liquid losses. This wastewater comprises milk solids, detergents, sanitizers, milk remnants, and cleaning water. It is typified by elevated concentrations of nutrients, both organic and inorganic, and may also encompass acids, alkalis, active agents, disinfectants, in conjunction with a substantial microbiological load, inclusive of pathogenic viruses and bacteria. In recognition of the imperative need to reclaim valuable milk solids to reinvigorate agriculture, particularly in regions grappling with water scarcity, a comprehensive wastewater treatment strategy was proffered. This strategic framework encompassed the meticulous scrutiny of pivotal parameters such as pH, BOD (Biological Oxygen Demand), and turbidity during the treatment regimen. Moreover, an ongoing discourse pertains to the utilization of natural coagulants for the efficacious treatment of dairy wastewater. Diverse ratios of these coagulants were judiciously introduced to the wastewater under treatment, and the levels of pH, BOD, and turbidity were assiduously assessed upon the culmination of each processing stage. The determination of the treatment process's effectiveness hinged upon the discerning comparison of out

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Diamond Power electronics: From 1kV towards 10kV Breakdown Voltage

Diamond Power Electronics: From 1kV towards 10kV Breakdown V...

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2022 Compound Semiconductor Week, CSW 2022

作者： Han, Z. Lee, H.-P. Bayram, B. Bayram, C. University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering UrbanaIL61801 United States University of Illinois at Urbana-Champaign Nick Holonyak Jr Micro and Nanotechnology Laboratory UrbanaIL61801 United States Middle East Technical University Department of Electrical and Electronics Engineering Ankara Turkey

ISBN: (数字)9781665453400

ISBN: (纸本)9781665453400

The rapidly growing demand for power electronics to rout, control, and convert electrical power motivates recent research into devices based on ultra-wide-bandgaps semiconductors. Diamond-based semiconductor devices have drawn increasing attention in high-power applications due to diamond's extraordinary electrical and physical properties. It has a 5.5 eV band gap and over 7.7MV cm-1 breakdown field. Diamond is also one of the best thermal conductors with thermal conductivity over 2200 Wm-1k-1, making it an ideal material for high power applications where heat dissipation is challenging [1]. To demonstrate diamond's advantages in power electronics, diamond power diodes and transistors are fabricated with breakdown voltages much higher than devices based on other wide band-gap materials. © 2022 IEEE.

关键词： Diamonds

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Multi-Mode Predictive Energy Management for Fuel Cell Hybrid Vehicle Using Markov

Multi-Mode Predictive Energy Management for Fuel Cell Hybrid...

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Sustainable Emerging Innovations in engineering and Technology (ICSEIET), International Conference on

作者： Vartika Kulshrestha Kannan Nova M. Padmarasan Naveen Krishna Alla Talasila Venkatesh B.K.Karunakar Rao Computer Science & Engineering ACED Alliance University - Central Campus Bengaluru Karnataka Microsoft Pembroke Pines FL USA Department of Electrical and Electronics Engineering Panimalar Engineering College Chennai Tamilnadu Department of Mechanical Engineering Institute of Aeronautical Engineering Dundigal Hyderabad Department of Electrical and Electronics Engineering Chalapathi Institute of Engineering and TechnologyLam Guntur Andhra Pradesh Department of Electrical and Electronic Engineering DVR & Dr.HS MIC College of Technology Kanchikacherla Andhra Pradesh

In this paper, a Markov decision method-primarily based multi-mode predictive strength control device for fuel mobile hybrid automobiles (FCHVs) is proposed. To improve gas efficiency and reduce emissions, the gadget seeks to optimize energy allocation between the gasoline cell stack and power garage components. The cautioned machine employs a Markov version to forecast destiny situations and operates in numerous modes depending on riding instances and power call for. This enables proactive decision-making. When estimating power requirements and allocating energy accurately, the version takes under consideration variables which include automobile speed, acceleration, and road grade. Dynamic programming is used to optimize a price characteristic that takes into account fuel usage, battery ageing, and machine performance. The ideal strength distribution for every mode is determined with the aid of contemplating the transition chances between riding situations. Compared to rule-based techniques, the system's effectiveness is validated by simulations and experiments, which show extra fuel efficiency and general performance. The device enables proactive choice-making via the use of the Markov version, which improves the usage of the to be had electricity resources and improves car performance. This study introduces a logo-new method for coping with strength in FCHVs that offers enormous upgrades in phrases of gasoline economic system and pollutants reduction.

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Hybrid Deep Learning ((ICNN-BiLSTM) Based Intrusion Detection Model to Secure IoT Networks

SSRN

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SSRN 2024年

作者： Ezhilarasi, M. Gnanaprasanambikai, L. Shanmugapriya, M. Kousalya, A. Department of Electrical and Electronics Engineering Sri Ramakrishna Engineering College Coimbatore India Department of Computer Science Karpagam Academy of Higher Education Coimbatore India Department of Computer Science Ayya Nadar Janaki Ammal College Sivakasi India Department of Information Technology Sri Krishna College of Engineering and Technology Coimbatore India

The ubiquitous Internet of Things (IoT) includes heterogeneous objects and protocols for collecting and processing sensitive data. Thus, IoT networks possess substantial security issues, which have gained high research priority. The necessity of securing IoT network from attacks and intrusions is essential as the dependability increase every day. Conventional security practices followed to secure the network are incompatible with IoT networks due to resource characteristics. Thus, providing a second line of defense is essential for IoT networks. Intrusion detection systems support IoT networks in detecting intrusions. However, the conventional approaches developed for IDS lag in detection performance due to improper feature processing. Recent advancements and acceptance of deep learning techniques in various domains attract deep learning into IoT-IDS applications. Combining multiple deep learning models would provide more benefits over conventional learning procedures. Thus, a hybrid deep learning model is presented to detect intrusions in the IoT network. An Improved Convolutional Neural Network (ICNN) and Bidirectional Long Short-Term Memory (BiLSTM) algorithm are combined for feature extraction and classification. Additionally, to improve the classifier performances, the Deer Hunting optimization (DHO) model is included which optimizes the network parameters of the BiLSTM model. Proposed model experimentations using benchmark IoTID20, CICIDS2018, and NSL-KDD datasets confirm the superior performance over existing approaches in terms of detection accuracy. © 2024, The Authors. All rights reserved.

关键词： Network intrusion

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Near-field Source Localization in 3-D Using Two Parallel Centrally Symmetric Unfold Coprime Array

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4738-4749页

作者： Chen, Hua Li, Junjie Yang, Songjie Liu, Wei Eldar, Yonina C. Yuen, Chau Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu610054 China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Kowloon Hong Kong Weizmann Institute of Science Faculty of Mathematics and Computer Science Rehovot7610001 Israel Nanyang Technological University School of Electrical and Electronics Engineering Singapore639798 Singapore

Most near-field (NF) localization algorithms cannot deal with the underdetermined case, while those which can are computationally expensive due to employment of fourth-order cumulants. In this work, a low-complexity solution is provided for underdetermined three-dimensional (3-D) NF localization, by employing second-order statistics with a tailored array configuration named two parallel centrally symmetric unfold coprime (TPSC) array. Its implementation can be divided into three stages. Firstly, the proposed algorithm constructs two cross-correlation matrices based on the received array data, which eliminates the non-linear range-related information of NF signals. Secondly, covariance and vectorization operations are applied to these two cross-correlation matrices to form a virtual array with extended aperture. Finally, the two-dimensional (2-D) angle parameters are estimated by the sparse and parametric approach (SPA) and a phase retrieval operation, and then the one-dimensional (1-D) range parameter is achieved by the multiple signal classification (MUSIC) algorithm. One specific feature is that the estimated angle and range parameters are matched automatically. An analysis of the properties of the TPSC array is provided, and an optimal parameter configuration is derived, given that the total number of array elements is fixed. Simulation results demonstrate that the designed TPSC array can achieve underdetermined 3-D NF localization, and deliver enhanced estimation capabilities, surpassing those of established algorithms. © 2002-2012 IEEE.

关键词： Multiple signal classification

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A Sensorless Method based on Zero-sequence Back-EMF for Five-phase Open-end Winding PMSM with Deadtime Compensation

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IEEE Transactions on Energy Conversion 2025年

作者： Jiang, Chunyang Wang, Yingjie Liu, Hongchen Wheeler, Pat Bao, Danyang Northeast Forestry University College of Computer and Control Engineering Harbin150001 China Harbin Institute of Technology School of Electrical Engineering and Automation Harbin150001 China University of Nottingham Department of Electrical and Electronics Engineering NottinghamNG7 2RD United Kingdom Shenzhen Polytechnic University School of Mechanical and Electrical Engineering Shenzhen518000 China

This paper proposes a sensorless method using the zero-sequence back electromotive force (ZSB-EMF) for five-phase open-end winding permanent magnet synchronous machine (OEW-PMSM) with common dc bus. The output of the zero-sequence controller, which is applied to suppress the zero-sequence current (ZSC), is used to reconstruct the ZSB-EMF. Then the position of the rotor is extracted from the output signal of the zero-sequence controller by single phase locked loop. A compensation of the deadtime is proposed to eliminate the negative effect for the position estimation and increase the effective modulation index. The proposed method needs no parameters of the motor, like the resistance, d-q inductance, which are vulnerable and might affect the accuracy of the estimation for the conventional sensorless methods based on the ZSB-EMF. It is easy to implement and the resistance network and complex calculation of conventional methods are also avoided. Experimental results on the five-phase open-end winding PMSM drive system are shown to validate the proposed sensorless method. © 1986-2012 IEEE.

关键词： Permanent magnets

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