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3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Upadhyay, Shrikant Kumar, Binod Singh, Rajan Alam, Md. Irfan Kumari, Barkha Hinz, Binita Roshima Mlr Insitute of Technology Department of Electronics and Communication Engineeing Hyderabad India Jharkhand Rai University Facultyt of Cse & It Ranchi India Mlr Institute of Technology Department of Electronics and Communication Engineering Hyderabad India Jharkhand Rai University Faculty of Cse & It Ranchi India Pune India Rtc Institute of Technology Department of Computer Science and Engineering-Cyber Security Ranchi India

ISBN: (纸本)9798331528201

Mental status through physical appearance identification is not possible as it does not give complete status of any human. Using voice and considering quality extraction of talked it is quite easy to predict the mental behavior and internal variation that will help the doctor related with medical treatment that support them to give proper treatment to person. Hindi is the natural language of India and large community of population talk and speaks this language to exchange and communicate. Various inputs like specific feature, images and vital report of serious person and it is one of the important facts sources for deep training or gaining systems. In this research paper we try to identify the speech signal under different scenario like gun noise, car noise etc. following different feature extraction approaches and compare it for its proper verification. This verification may help to enhance the quality of speech in different adverse scenario and make the speech detection easy. Here, the comparison has been done with various feature extraction method and the results reflects that MFCC has good efficiency of 95% and with a low error rate of 2% compared to other approach. For analysis Hindi voice sample were used for the experimental analysis for 50 samples. © 2024 IEEE.

关键词： Speech enhancement

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Enhanced Small Lesion Detection on Grape Leaves Using Optimized YOLOv7 3

Enhanced Small Lesion Detection on Grape Leaves Using Optimi...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Mahalakshmi, S. Gandhi, Jay Prabakaran, V. Rastogi, Shailesh Chennai Institute of Technology Department of Computer Science and Engineering Kundrathur Chennai India Faculty of Engineering and Technology Parul University Department of Computer science and Engineering Vadodara India Pune India Department of Finance Pune India

ISBN: (纸本)9798331508456

The detection of small lesions on grape leaves plays a pivotal role in the early identification and management of plant diseases, potentially reducing significant agricultural losses. Traditional detection systems, including advanced versions such as YOLOv7, often overlook small target diseases due to resolution constraints and inadequate feature extraction capabilities. Addressing this, our research enhances the YOLOv7 architecture by incorporating a specialized prediction branch and leveraging an improved channel attention mechanism in conjunction with an Extended-Efficient Long-range Attention Network (E-ELAN). Firstly, a new detection head specifically designed for small targets enhances the resolution capabilities of the system. Secondly, the integration of asymmetric convolution into the E-ELAN facilitates refined multi-scale feature extraction, critical for distinguishing minute pathological changes. Further, we enhance the model's sensitivity to small-scale features through a revamped channel attention mechanism. Moreover, we replace the conventional Complete Intersection over Union (CIoU) with a Structured Intersection over Union (SIoU) in the loss function, significantly improving the model's localization accuracy. Experimental results from testing the optimized YOLOv7 on a dataset of grape leaves affected by three prevalent diseases show an average accuracy improvement of 2.7%, achieving a remarkable 93.5%. This substantiates our model's efficacy in enhancing small lesion detection, thereby contributing effectively to early disease intervention strategies in viticulture. © 2025 IEEE.

关键词： asymmetric convolution channel attention mechanism plant disease diagnostics small lesion detection YOLOv7

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An Optimized Algorithm for D2D-MIMO 5G Wireless Networks

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computers, Materials & Continua 2021年第9期68卷 3029-3044页

作者： Shahid Bashir Imran Khan Fahd NAl-Wesabi Nadhem Nemri Ammar Zahary Quang Ngoc Nguyen 无 Department of Business Studies Namal UniversityPakistan Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science King Khalid UniversityMuhayel AseerKSA Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Communications and Computer Engineering Faculty of Science and Engineering Waseda University Shinjuku-kuTokyo169-0051Japan

The device-to-device(D2D)networking technology is extended to the conventional cellular network to boost the communication efficiency of the entire network,forming a heterogeneous 5G and beyond(B5G)communication network.D2D communication in a cellular cell will boost the efficiency of the spectrum,increase the ability of the device,and reduce the communication burden of base stations through the sharing of approved cell resources,causing serious interference as *** device-to-device(D2D)networking technology is extended to the conventional cellular network to boost the communication efficiency of the entire network,forming a heterogeneous 5G communication network.D2D communication in a cellular cell will boost the efficiency of the spectrum,increase the ability of the device,and reduce the communication burden of base stations through the sharing of approved cell resources,causing serious interference as *** paper proposes an efficient algorithm to minimize interference,based on the parity of the number of antennas,to resolve this *** primary concept is to generate the cellular connection precoding matrix by minimizing the power of interference from the base station to non-targeted *** through the criterion of maximum SINR,the interference suppression matrix of the cellular connection is ***,by removing intra-interference through linear interference alignment,the maximum degree of freedom is *** results of the simulation show that the proposed algorithm efficiently increases the performance of the spectrum,decreases interference,improves the degrees of freedom and energy efficiency compared to current algorithms.

关键词： 5G and beyond(B5G)networks device-to-device heterogeneous interference multiple-input and multiple-output

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Planar Transformer with None Overlapping Winding as Current Balancing Compensator for Paralleled SiC MOSFETs 30

Planar Transformer with None Overlapping Winding as Current ...

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30th International Conference on Electrical engineering, ICEE 2022

作者： Allahyari, Hesamodin Sarfejo, Mahdi Delzendeh Bahrami, Hamid Afify, Ahmad Shoaei, Aran Latifzadeh, Mohammad K. N. Toosi University of Technology Department of Electrical Engineering Tehran Iran Department of Electrical Engineering Tehran Iran University of Tehran School of Electrical and Computer Engineering College of Engineering Iran Malek-Ashtar University of Technology Faculty of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9781665480871

Thanks to the high switching frequency and low switching loss, SiC MOSFET devices have become more popular for high-frequency power converters. however, the active area of SiC MOSFETs is limited by some physical reasons, and consequently, their current rating is low. To use Sic MOSFETs in high current applications, they must be implemented in parallel with each other. One of the main challenges of the parallel connection of these switches is their transient current distribution, which in fact causes unbalance current sharing between them. This paper introduces a new passive approach, practical, simple, and low-cost method to suppress imbalance current in paralleling SiC MOSFET device by using a new type of planar transformer (PT) that called none overlapping winding (NOW) structure. Using the proposed planar transformer is convenient to compare with the conventional transformer due to its predictable and adjustable parasitic parameters. Generally, the parasitic parameters of the transformer have a severely detrimental effect on the current sharing of SiC MOSFETs. The effect of parasitic parameters Theoretically is considered and analyzed and the PT NOW structure with minimum parasitic elements is extracted. the effectiveness of the proposed approach first is considered by Finite Element Method (FEM) simulations and finally verified by simulation results. © 2022 IEEE.

关键词： MOSFET devices

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Using Machine Learning Tools to Analyze Large Real-Time Data Sets 1

Using Machine Learning Tools to Analyze Large Real-Time Data...

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1st IEEE International Conference on Emerging Research in Computational Science, ICERCS 2023

作者： Hannah Jessie Rani, R. Yadav, Rakesh Kumar Garg, Avni Gayathri, C. Gaikwad, Vidya S. Vishnoi, Manish Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Electronics and Department of Civil Engineering Jaipur India

ISBN: (纸本)9798350359756

Using engine getting-to-know-the-gear to investigate big real-time statistics sets has become increasingly commonplace because of its efficiency, scalability, and advanced abilities. Devices getting to know equipment permit for speedy facts evaluation and sample reputation, allowing quicker and more accurate decision making. This gear may make actual-time data sets more beneficial via detecting traits, figuring out correlations, and developing models for predictive analysis. Moreover, machine mastering can personalize products and services to fulfill consumer desires. By utilizing the system and gaining knowledge of algorithms, groups can better understand user behavior and preferences, leading to extra valuable product and provider offerings. Ultimately, the use of system getting-to-know equipment to release real-time facts helps corporations to make greater informed selections and deliver higher consumer studies. © 2023 IEEE.

关键词： Decision making

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A Three-Stage Adaptive Hybrid Algorithm for Flexible Job Shop Scheduling Problem

A Three-Stage Adaptive Hybrid Algorithm for Flexible Job Sho...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Wu, ChongRui Xie, ZhiJun Chen, KeWei Xin, Yu Zarei, Roozbeh Xie, YunTao Ningbo University Faculty of Electrical Engineering and Computer Science NingBo China Ningbo University Falculty of Mechanical Engineering and Mechanis NingBo China Deakin University School of Information Technology Melbourne Australia New South Wales University School of Computer Science and Engineer NSW Australia

ISBN: (纸本)9798350337020

The flexible job shop scheduling problem (FJSP) is a complex problem with significant applications in modern manufacturing. While various metainspired algorithms are widely used in FJSP, they of-ten converge to local optima, especially as the problem size increases. To overcome this, we propose an adaptive hybrid algorithm with three stages of 'explore-exploit-escape' (E3HA). In the first stage, we design a Simplified Variable Neighborhood Search (Sim-VNS) algorithm and introduce a Simplified Nopt1 Neighborhood for extensive exploration of solution spaces. In the second stage, we introduce the crossover operation from genetic algorithms to better exploit the elite solutions obtained in the first stage, and we also use mutation operations to improve the quality of regular solutions. Finally, in the third stage, we design a hybrid mechanism of Reverse Learning with Path Relinking (RLPR) and introduce a critical path neighborhood structure to increase the effectiveness of solutions in avoiding local optima and premature convergence. We perform ablation experiments to confirm the effectiveness of each stage of E3HA and test the algorithm on all BRdata and Fdata instances, comparing its performance to relevant existing state-of-the-art algorithms. The results show the effectiveness and stability of our algorithm for FJSP. © 2023 IEEE.

关键词： critical path flexible job shop scheduling problem genetic algorithm Neighborhood Search

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FEM-based modeling of microsphereenhanced interferometry

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Light(Advanced Manufacturing) 2022年第4期3卷 73-85页

作者： Tobias Pahl Lucie Hüser Sebastian Hagemeier Peter Lehmann Measurement Technology Group Faculty of Electrical Engineering and Computer ScienceUniversity of KasselWilhelmshöher Allee 7134121 KasselGermany

To improve the lateral resolution in microscopic imaging,microspheres are placed close to the object’s surface in order to support the imaging process by optical near-field *** microsphere-assisted measurements are part of various recent studies,no generally accepted explanation for the effect of microspheres *** nanojets,enhancement of the numerical aperture,whispering-gallery modes and evanescent waves are usually named reasons in context with microspheres,though none of these effects is proven to be decisive for the resolution *** present a simulation model of the complete microscopic imaging process of microsphere-enhanced interference microscopy including a rigorous treatment of the light scattering process at the surface of the *** model consideres objective lenses of high numerical aperture providing 3D conical illumination and *** enhanced resolution and magnification by the microsphere is analyzed with respect to the numerical aperture of the objective ***,we give a criterion for the achievable resolution and demonstrate that a local enhancement of the numerical aperture is the most likely reason for the resolution enhancement.

关键词： Electromagnetic modeling Microsphere-assisted microscopy Interference microscopy Coherence scanning interferometry Simulation Finite element method

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Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations

arXiv

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arXiv 2024年

作者： Bologni, Giovanni Hendriks, Richard C. Heusdens, Richard The Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands The Faculty of Military Sciences Netherlands Netherlands

This article focuses on estimating relative transfer functions (RTFs) for beamforming applications. Traditional methods often assume that spectra are uncorrelated, an assumption that is often violated in practical scenarios due to factors such as time-domain windowing or the non-stationary nature of signals, as observed in speech. To overcome these limitations, we propose an RTF estimation technique that leverages spectral and spatial correlations through subspace analysis. Additionally, we derive Cramér–Rao bounds (CRBs) for the RTF estimation task, providing theoretical insights into the achievable estimation accuracy. These bounds reveal that channel estimation can be performed more accurately if the noise or the target signal exhibits spectral correlations. Experiments with both real and synthetic data show that our technique outperforms the narrowband maximum-likelihood estimator, known as covariance whitening (CW), when the target exhibits spectral correlations. Although the proposed algorithm generally achieves accuracy close to the theoretical bound, there is potential for further improvement, especially in scenarios with highly spectrally correlated noise. While channel estimation has various applications, we demonstrate the method using a minimum variance distortionless (MVDR) beamformer for multichannel speech enhancement. A free Python implementation is also provided. Copyright © 2024, The Authors. All rights reserved.

关键词： Time domain analysis

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First principle calculation of electronic structures and hole concentration of YBCO family compounds 4

First principle calculation of electronic structures and hol...

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4th International Conference on Separation technology, ICoST 2023

作者： Min Cheong, Choon Kien Chen, Soo School of Engineering INTI International Collge Penang Pulau Pinang11900 Malaysia Faculty of Computer Science & Information Technology Universiti Malaya Kuala Lumpur57100 Malaysia Department of Physics Faculty of Science Universiti Putra Malaysia Selangor Darul Ehsan Serdang43300 Malaysia

Yttrium barium copper oxide (YBCO) family compounds are similar in structure but have different superconducting temperatures. It is well known that superconducting properties arise from the crystal lattice and electronic structure of compounds. This work reveals and discusses the electronic structures of YBCO family compounds (YBa2Cu3O6, YBa2Cu3O6.5, YBa2Cu3O7, and YBa2Cu4O8) based on density functional theory (DFT). The electronic structure results show that Cu-O chains are the trigger components for conduction, and only Cu-O chains and Cu-O2planes play important roles in electronic and superconducting properties. The results also reveal that additional hole doped will be non-trivially distributed between the Cu-O chains and the Cu-O2planes, and hence a more comprehensive method is required to calculate the hole concentration in the Cu-O2plane. This work also demonstrates the calculation of hole concentrations using DFT. By DFT calculation, the Y1236 has hole concentration of 0.5 and the hole doped of Y12365, Y1237 and Y124 are 0.09, 0.16 and 0.10, respectively. The results are consistent with the cuprate-superconductor phase diagram and the bond-valence sum (BVS) calculations. © 2024 Elsevier Ltd. All rights reserved.

关键词： Electronic structure

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Alternately Coupled Magnetoinductive Waveguide with Nulls-Free Characteristic for Two-Way Wireless Power Transfer Application

Alternately Coupled Magnetoinductive Waveguide with Nulls-Fr...

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2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

作者： Rakluea, Chawalit Worapishet, Apisak Chaimool, Sarawuth Zhao, Yan Akkaraekthalin, Prayoot Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand Mahanakorn Institute of Innovation Mahanakorn University of Technology Bangkok Thailand Khon Kaen University Faculty of Engineering Department of Electrical Engineering Khon Kaen Thailand International School of Engineering Chulalongkorn University Faculty of Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (数字)9781665432382

ISBN: (纸本)9781665432382

Two-way alternately coupled magnetoinductive waveguide for wireless power transfer is presented in this paper. With the use of the alternate coupling polarities between consecutive resonator cells and quadrature phase termination at the last cell, the nulls-free characteristics were clearly achieved for all locations. The power is transferred to a single receiver with 74% from the input power. For two receivers placed separately on each path, a small variation of power transfer percentage ranging from 40% to 43% is obtained. Finally, the proposed configuration model can be developed to power and charge multiple electronic devices, robots and EVs without nulling effect. © 2022 IEEE.

关键词： Energy transfer

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