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Microelectronics (IICM), Iranian International Conference on

作者： Pegah Paknazar Maryam Shakiba dept. electrical and computer engineering Jundi-Shapur University of Technology Dezful Iran

In this research, the photocarrier transmission mechanism and the effect of the doping concentration of n-and p-strip regions in interdigitated back contact silicon heterojunction (IBC-SHJ) cell efficiency have been studied. In this regards, short-circuit current density, open-circuit voltage, fill factor and cell efficiency values have been evaluated using J-V curves for different conditions. The doping concentration of the n- and p-strip regions have been changed using trial-and-error method to achieve improved efficiency in IBC-SHJ solar cell. The improved IBC-SHJ have no extra ARCs and more structural periodicity. Thus, a simple structure with improved conversion efficiency is proposed. The results have been shown that the n- and p-strip doping concentration were the most effective parameters on efficiency improvement. According to the results, the best doping concentration of Emitter and BSF regions to achieve improved efficiency is equal to $2 \times 10^{19} \mathrm{~cm}^{-3}$ and $4.3 \times 10^{18} \mathrm{~cm}^{-3}$ respectively.

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Energy-Based Controller Design for Decentralized AC Inverter-Base Micro-grids

Energy-Based Controller Design for Decentralized AC Inverter...

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Control, Electronics and computer technology (ICCECT), IEEE International Conference on

作者： Mohsen Bozorgmehrian Samareh Attarsharghi Amin Ramezani Dept. of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Dept. of Electrical Engineering University of Doha for Science and Technology Doha Qatar

Micro-grids, which utilize photo-voltaic (PV) cells, wind turbines, and batteries, are gaining widespread adoption as a viable solution for renewable and sustainable energy infrastructures. However, ensuring the reliability and stability of these power grids is critical, and several control strategies have been developed to achieve these goals. In this study, we have modeled the decentralized behavior of microgrids using the port-Hamiltonian formulation and a PI controller to control the inverter voltage and output power. To demonstrate the effectiveness of our control method, we have conducted simulations that consider both maximum and worst-case system fluctuations.

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Model Predictive Control of MMC-based Medium Voltage Microgrid for Grid Connected and Islanded Operation

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IEEE Transactions on Industry Applications 2025年

作者： Sharma, Ankita Chilipi, Rajasekharareddy Kumar, Kunisetti V. Praveen Dept. of Electrical Engineering of Sardar Vallabhbhai National Institute of Technology Gujarat Surat India

This article focuses on the development of a model predictive control (MPC) for a modular multilevel converter (MMC)-based medium voltage microgrid. The developed MPC is aimed to effectively control MMC-based microgrid during both grid-connected (GC) and islanded (IS) modes, with seamless transitions between the two. The developed MPC anticipates state variables behavior and uses a cost function to determine an optimal switching sequence. As a result, unlike classical vector control methods, the developed MPC eliminates need for pulse width modulation schemes, proportional-integral controllers, and extensive tuning efforts. The developed MPC enhances system performance by incorporating power quality improvement and AC fault ride-through capabilities. Additionally, the developed MPC also provides a submodule fault-tolerant feature to ensure system reliability and stability. The effectiveness and robustness of the developed MPC are validated through MATLAB/Simulink-based simulations. Further, extensive experimental studies are performed on a scaled-down laboratory prototype of a 5-level MMC, using dSPACE 1202. The performance evaluation encompasses various operating conditions, including GC and IS operations, smooth transitions between these modes, AC fault ride-through, unbalanced and distorted grid conditions, submodule fault and power quality enhancement. The performance of the developed MPC is compared with traditional vector control methods, demonstrating its superiority in managing medium-voltage microgrid operations. © 1972-2012 IEEE.

关键词： Islanding

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Multi Class Classification of Acute Leukemia using Transfer Learning

Multi Class Classification of Acute Leukemia using Transfer ...

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2022 International Conference for Advancement in technology, ICONAT 2022

作者： Abhishek, Arjun Santhanam, Naveen Jha, Rajib Kumar Sinha, Ruchi Jha, Kamlesh Indian Institute of Technology Dept. of Electrical Engineering Patna India Vellore Institute of Technology Dept. of Computer Science and Engineering Vellore India All India Institute of Medical Sciences Dept. of Pathology Lab Medicine Patna India All India Institute of Medical Sciences Dept. of Physiology Patna India

ISBN: (纸本)9781665425773

Leukemia is a fatal disease which affects blood cells. Detection of this disease using machine learning and deep learning techniques can reduce the burden of doctors and clinicians. The proposed work performs a multi level classification of acute leukemia involving transfer learning technique. An accuracy of 95% and 96% are achieved for support vector machine and logistic regression, respectively, when features extracted by ResNet50 are used for training. 95% test accuracy is obtained for k-Nearest Neighbor classifier (K=5) when features extracted by MobileNet are used for training. © 2022 IEEE.

关键词： Diseases

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Performance Evaluation of Secure and Privacy-preserving DNS at the 5G Edge 20

Performance Evaluation of Secure and Privacy-preserving DNS ...

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20th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023

作者： Hanna, Yacoub Pineda, Diana Akkaya, Kemal Aydeger, Abdullah Harrilal-Parchment, Ricardo Albalawi, Hamdah Florida International University Advanced Wireless and Security Lab MiamiFL33174 United States Florida Institute of Technology Dept. of Electrical Engineering and Computer Science MelbourneFL32901 United States

ISBN: (纸本)9798350324334

With the improved network performance and efficiency, 5G has been a very appealing alternative for various applications and devices, including but not limited to Industrial IoT (IIoT) applications. However, since IIoT applications require real-time transmission guarantees for time-critical data, optimizing the 5G network performance has attracted much research recently by pushing critical services to the 5G edge. One of such services is Domain Name System (DNS) which is typically offered by ISPs to serve 5G networks. However, due to its heavy role on Internet traffic, DNS has seen many attacks in the past in terms of its authenticity of records and exposure of user requests. Therefore, there have been many variants of DNS protocol such as DNSSEC and DNS over TLS (DoT) to address these security and privacy issues. As such these new protocols need to be integrated into 5G edge and their overhead should be investigated for their potential use in time-critical applications. In this paper, we consider deploying secure and privacy-preserving DNS to the 5G base stations and investigate the feasibility and performance of such an edge computing approach. To this end, we utilize SDN capabilities and forward packets to a local SDN controller for extracting and processing DNS queries. Thus, the DNS packets are served at the 5G edge with optional security and privacy features without being forwarded to remote ISP servers. Our approach is implemented in a virtualized 5G testbed network, and we present various DNS performance results via different metrics and scenarios. © 2023 IEEE.

关键词： 5G mobile communication systems

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A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions

A Compensation Mechanism for EV Flexibility Services using D...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Giraldo, Juan S. Arias, Nataly Banol Duque, Edgar Mauricio Salazar Hoogsteen, Gerwin Hurink, Johann L. University of Twente Mathematics and Computer Science Dept. of Electrical Engineering Netherlands Energy Transition Studies Netherlands Eindhoven University of Technology Electrical Energy Systems Group Netherlands

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served. © 2022 IEEE.

关键词： Office buildings

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Feature Extraction Evaluation of Various Machine Learning Methods for Finger Movement Classification using Double Myo Armband

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Journal of engineering and Technological Sciences 2023年第5期55卷 587-599页

作者： Anam, Khairul Ismail, Harun Hanggara, Faruq S. Avian, Cries Nahela, Safri Sasono, Muchamad Arif Hana Dept. of Electrical Engineering Faculty of Engineering University of Jember Kalimantan Street No. 37 Sumbersari Krajan Timur Sumbersari Jember Regency East Java Sumbersari District68121 Indonesia Dept. of Electrical and Computer Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Rd Da’an District Taiwan 106 Taipei City Taiwan Center for Development of Advanced Science and Technology University of Jember Kalimantan Street No. 37 Sumbersari Krajan Timur Sumbersari Jember Regency East Java Sumbersari District68121 Indonesia

The deployment of electromyography (EMG) signals can be used in decoding finger movements for exoskeleton robotics, prosthetic hands, and powered wheelchairs and thus has attracted the attention of many researchers. However, decoding any movement is a challenging task. The success of using EMG signals depends on the appropriate choice of feature extraction and classification model, especially in the feature extraction process. Therefore, this study conducted an eight-feature extraction evaluation on various machine learning methods, i.e., Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree (DT), Naïve Bayes (NB), and Quadratic Discriminant Analysis (QDA). Datasets from four intact subjects were used to classify twelve finger movements. Through five cross-validations, the result showed that almost all feature extractions combined with SVM outperformed the other combinations of features and classifiers. Mean absolute value (MAV) as a feature and SVM as a classifier were the best combination, with an accuracy of 94.01%. © 2023 Published by IRCS-ITB.

关键词： Extraction

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Optimal Classification Tiling Algorithm 15

Optimal Classification Tiling Algorithm

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15th International Conference on Information and Communication technology Convergence, ICTC 2024

作者： Cheng, Wei-Chen Liou, Cheng-Yuan Polylogarithmic technology Ltd United Kingdom University of Oxford Department of Oncology United Kingdom National Taiwan University Dept. of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350364637

This work presents a max-margin tiling algorithm to construct multi-layer perceptrons with perfect performance for all training patterns. Each perceptron distinguishes a portion of a single class patterns from all the rest patterns, as large as possible. The process is a divide and conquer approach therefore the size of the portion gradually reduced and the algorithm accelerate accordingly. Each layer of such perceptrons encodes different class patterns with different codes, maintaining faithful representations. The max-margin separation boundary is optimal to against noise therefore this construction provides resolution of challenging classification of noisy patterns such as seriously corrupted images. To our knowledge, it gives the best performance for noisy testing patterns among all existing methods. We applied the algorithm on highly sparse data of genetic mutations and identified not only gene NF1, which had been previously found by monogenic analysis, but also a list of genes whose deletions may polygenically associate with a group of breast cancer patients. © 2024 IEEE.

关键词： Genetic algorithms

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Design and Characterization of a Ka-Band Parasitic Patch Antenna for 5G Applications

Design and Characterization of a Ka-Band Parasitic Patch Ant...

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International Conference on Communication and Electronics Systems (ICCES)

作者： Kahkashan Kouser Mohammad Hannan Faizan Shafi Mohammad Aknan Dept. of Computer Science & Engineering Motihari College of Engineering (MCE) Motihari Motihari Bihar India Dept. of Electrical and Electronics Engineering Rajiv Gandhi Institute of Petroleum Technology Amethi Uttar Pradesh India Dept. of Electrical Electronics and Communication Engineering Indian Institute of Technology Dharwad India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

He design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable for compact wireless *** design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable

关键词： Wireless communication Fabrication Performance evaluation 5G mobile communication Patch antennas Bandwidth Impedance Ka-band Gain Periodic structures

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Generating Underwater Acoustic Communication Channel Impulse Responses Using a Diffusion Model

Generating Underwater Acoustic Communication Channel Impulse...

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Underwater Communications and Networking (UComms)

作者： Yongjie Zhuang Dariush Kari Zhengnan Li Milica Stojanovic Andrew C. Singer Dept. Electrical and Computer Engineering Stony Brook University Stony Brook New York USA Dept. Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana Illinois USA Dept. Electrical Engineering Northeastern University Boston Massachusetts USA

ISBN: (数字)9798331542511

ISBN: (纸本)9798331542528

Underwater acoustic communication data is expensive to collect, often yielding experimental data sets that are sufficient for proof-of-concept analysis, but are insufficient for applications that demand orders of magnitude more channel realizations, such as data-driven methods for outage-capacity analysis, network simulation, or statistical regression of new communication algorithms. For such applications, a realistic synthetic dataset is a necessity for the successful generalization of data-driven underwater acoustic (UWA) communication systems. This paper investigates the application of diffusion models for UWA data augmentation for such systems. Diffusion models, as opposed to physics-based models such as BELLHOP or other acoustic propagation tools, extract the essential characteristics of the data without explicit knowledge of environmental parameters. We demonstrate the capability of such models by generating data whose multipath structure and spatiotemporal correlation match those of the Kauai ACOMMS MURI 2011 (KAM11) experiment.

关键词： Underwater communication Correlation Deconvolution Diffusion models Acoustic measurements Data models Time measurement Spatiotemporal phenomena Underwater acoustics Synthetic data

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