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2024 International Conference on electrical Machines, ICEM 2024

作者： Mahmoud, Mohamed Reda Ibrahim, Mohamed N. Sergeant, Peter Ghent University Department ot Electromechanical Systems and Metal Engineering Ghent9000 Belgium FlandersMake@UGent Core Lab MIRO Leuven3001 Belgium Minia University Faculty of Engineering Electrical Engineering Department Minia61111 Egypt Kafrelshiekh University Department of Electrical Engineering Kafrelshiekh33511 Egypt

ISBN: (纸本)9798350370607

Exploring the design space is essential in the pursuit of developing high-performance and power-dense electric machines. This article explores the transformative potential of topology optimization (TO) in enhancing the performance of electric machines. Conventional techniques for optimizing the design of electric machines use optimization algorithms to determine geometric variables within a predefined range. However, these methods are limited by manufacturing constraints and the designer's expertise in parameterization. On the other hand, topology optimization aims to enhance the performance of electric machines by manipulating the distribution of materials as a design factor. The enhancement is facilitated by additive manufacturing (AM), particularly via the manufacturing of intricate metal parts. In this paper, the main concepts of topology optimization in electric machines are reviewed. Firstly, the requirement for topology optimization is illustrated, and both the achievements and challenges of this technique over the traditional parametric optimization are described. Then, a description is given of different topology optimization methods that were reported in the literature. Finally, the development opportunities of this technology are shown in the electric machine design field. © 2024 IEEE.

关键词： Shape optimization

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An IPoDWDM Implementation Leveraging OpenROADM Standards for Enhanced Service Orchestration 24

An IPoDWDM Implementation Leveraging OpenROADM Standards for...

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24th International Conference on Transparent Optical Networks, ICTON 2024

作者： Kamalzadeh, Moojan Zhang, Tianliang Fumagalli, Andrea Manzotti, Roberto The University of Texas Department of Electrical and Computer Engineering DallasTX United States Optical Systems and Optics Cisco Systems Milan Italy

ISBN: (纸本)9798350377309

This paper introduces an IP over Dense Wavelength Division Multiplexing (IPoDWDM) framework that integrates commercial state-of-the-art routing devices and Reconfigurable Optical Add-Drop Multiplexers (ROADMs), adhering to the OpenROADM MSA standards. A hierarchical software-defined networking controller (H-SDNC) seamlessly orchestrates network resource reservation across the DWDM aggregation layer and layer 2/3 through RESTCONF and NETCONF protocols. This first proof of concept paves the way for network architectures that closely integrate multi-layer resources to boost efficiency and flexibility in open and multi-vendor networks. © 2024 IEEE.

关键词： Dense wavelength division multiplexing

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Classification of Stress using Machine Learning Based on Physiological and Psychological Data from Wearables 15

Classification of Stress using Machine Learning Based on Phy...

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15th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2023

作者： Pauzi, Tuan Muhamad Affiq Aimullah Tuan Mohd Samah, Asma Abu Dela Cruz, Jennifer C. Ghaffa, Dalilah Nordin, Rosdiadee Abdullah, Nor Fadzilah Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Electrical Electronic and Systems Engineering Bangi Malaysia Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Wireless Research@UKM Department of Electrical Electronic and Systems Engineering Bangi Malaysia School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines

ISBN: (纸本)9798350381177

Stress is a common psychological issue in today's world, causing individuals to experience physiological and behavioral changes. When someone experiences stress for a prolonged period, it can have an impact on their body and thoughts, leading to severe behaviors. Stress-related problems can be prevented if identified early. Nowadays, researchers' use of machine learning in early disease detection is increasing, offering a solution to stress-related issues. This study focuses on developing a machine learning predictive model for classifying stress levels using physiological data. Physiological data is obtained from an open-source dataset containing biosignal data such as Electrodermal (EDA), Skin Temperature, Heart Rate (HR), Blood Volume Pulse (BVP), and others. The dataset is then used to train a machine learning model using Support Vector Machine (SVM), Random Forest (RF), Adaboost, and Bootstrapping algorithms. Accuracy, precision, recall, and F1-score are used to evaluate the model's performance. As a result, the predictive model using the Bootstrapping algorithm achieves the best performance with an accuracy of 95.82%, a precision of 99.33%, a recall of 98.02%, and F1-score of 94.69% compared to other machine learning classifiers. Creating such models can aid in early stress detection once they are integrated into a wearable device for continuous monitoring purposes. © 2023 IEEE.

关键词： Decision trees

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Brand Love Enhancement of Micro, Small, and Medium Enterprises in Indonesia: A Systematic Literature Review 1

Brand Love Enhancement of Micro, Small, and Medium Enterpris...

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1st IEEE International Symposium on Consumer Technology, ISCT 2024

作者： Christina, Christina Gunarta, I Ketut Syairudin, Bambang Institut Teknologi Sepuluh Nopember Department of Industrial and Systems Engineering Surabaya Indonesia Universitas Kristen Maranatha Bachelor Program in Industrial Engineering Bandung Indonesia

ISBN: (纸本)9798350365191

This preliminary paper presents a Systematic Literature Review (SLR) to explore how consumer brand love of Micro, Small, Medium Enterprises (MSME) in Indonesia could be enhanced through branding strategies. MSMEs play important role in current Indonesia economic growth, but unfortunately, they focus on the trading and forget about the branding. It also examines previous research to observe what should be highligted about brand love, how to identify the variables of the consumer voices and if the latent consumer voices has been identified. To collect the literature data, ScienceDirect and Google Scholar were used as databases. There is a contradictive thing about the masstige brand and MSME's brands about brand love, brand loyalty and purchase intention. Some recommendations strategies could be determined such as good collaboration between the government and MSMEs, and how to gather the latent consumer voice. For further research could be suggested to include interview that would be converted to text document. © 2024 IEEE.

关键词： branding consumer emotion latent consumer voice Latent Dirichlet Allocation strategies

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Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature

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Journal of Modern Power systems and Clean Energy 2021年第6期9卷 1566-1573页

作者： Saad Saleem Khan Hussain Shareef Ahmad Asrul Ibrahim Department of Electrical Engineering College of EngineeringUnited Arab Emirates University IEEE Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia

The membrane water content of the proton exchange membrane fuel cell(PEMFC)is the most important feature required for water management of the PEMFC *** improper management of water in the fuel cell may lead to system *** various faults,flooding and drying faults are the most frequent in the PEMFC *** paper presents a new dynamic semi-empirical model which requires only the load current and temperature of the PEMFC system as the input while providing output voltage and membrane water content as its major *** other PEMFC systems,the proposed dynamic model calculates the internal partial pressure of oxygen and hydrogen rather than using special internal ***,the membrane water content and internal resistances of PEMFC are modelled by incorporating the load current condition and temperature of the PEMFC *** model parameters have been extracted by using a quantum lightening search algorithm as an optimization technique,and the performance is validated with experimental data obtained from the NEXA 1.2 k W PEMFC *** further demonstrate the capability of the model in fault detection,the variation in membrane water content has been studied via the *** proposed model could be efficiently used in prognostic and diagnosis systems of PEMFC fault.

关键词： Proton exchange membrane fuel cell(PEMFC)fault membrane water content modelling optimization quan-tum lightening search algorithm

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Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

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CSEE Journal of Power and Energy systems 2023年第1期9卷 315-325页

作者： Ancheng Xue He Kong Feiyang Xu Junbo Zhao Naichao Chang Joe H.Chow Haiyan Hong State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Department of Electrical and Computer Engineering University of ConnecticutStorrs06268USA National Electric Power Dispatching and Control Center Beijing 100031China Department of Electrical Computerand Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNY 12180USA

Phasor measurement units(PMUs)provide useful data for real-time monitoring of the smart ***,there may be time-varying deviation in phase angle differences(PADs)between both ends of the transmission line(TL),which may deteriorate application performance based on *** address that,this paper proposes two robust methods of correcting time-varying PAD deviation with unknown parameters of TL(ParTL).First,the phenomena of time-varying PAD deviation observed from field PMU data are *** general formulations for PAD estimation are then *** simplify the formulations,estimation of PADs is converted into the optimal problem with a single ParTL as the variable,yielding a linear estimation of *** latter is used by second-order Taylor series expansion to estimate PADs *** reduce the impact of possible abnormal amplitude data in field data,the IGG(Institute of Geodesy&Geophysics,Chinese Academy of Sciences)weighting function is *** using both simulated and field data verify the effectiveness and robustness of the proposed methods.

关键词： Correction line parameters parameter identification phasor measurement time-varying phase angle difference deviation

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iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique

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Multimedia Tools and Applications 2024年第39期83卷 86359-86381页

作者： S, Sreedhar Kumar Ahmed, Syed Thouheed Fathima, Afifa Salsabil Mathivanan, Sandeep Kumar Jayagopal, Prabhu Saif, Abdu Gupta, Sachin Kumar Sinha, Garima Department of Computer Science and Engineering School of Engineering and Technology CMR University Karnataka Bengaluru India Department of Electrical Engineering Indian Institute of Technology Hyderabad Telangana Kandi India School of Computer Science and Engineering REVA University Bangalore India School of Computer Science and Engineering Galgotias University Uttar Pradesh Greater Noida203201 India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Communication and Computer Engineering Faculty of Engineering and IT Taiz University Taiz Yemen Katra India Department of Computer Science Engineering Jain University Bangalore India

Unstructured Numerical Image Dataset Separation (UNIDS) method employing an enhanced unsupervised clustering technique. The objective is to delineate an optimal number of distinct groups within the input grayscale (G-S) image content, utilizing the improved limited iteration agglomerative clustering (iLIAC) clustering technique for the separation and enhancement of picture elements. The UNIDS method is structured into two primary stages: partitioning and validation. In the partitioning stage, the UNIDS method identifies an appropriate number of discrete clusters within the grayscale image using the iLIAC technique, eliminating the need for predetermined procedures. Subsequently, the method evaluates the similarity and deviation among data elements within the same group in the resultant image dataset. Additionally, it assesses the proximity and inters severance among clusters in the outcome of the image dataset through the partitioning process. Empirical results indicate that the UNIDS system excels in the spontaneous identification of an optimal number of discrete clusters within the input G-S image. The system demonstrates superior thickness, reduced deviation among data elements within the same cluster, increased inter-separation, and diminished inter-closeness between cluster elements. Furthermore, empirical analysis establishes the superior performance of the UNIDS approach compared to existing clustering techniques. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Iterative methods

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Secure and Reliable 6G Communications with BCH-Based GLDPC and Kyber

Secure and Reliable 6G Communications with BCH-Based GLDPC a...

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2025 IEEE International Conference on Consumer Electronics, ICCE 2025

作者： Nguyen, Linh Min, Cheol-Hong Lee, Hanho Nguyen, Tuy Tan School of Informatics Computing and Cyber Systems Northern Arizona University United States Department of Electrical and Computer Engineering University of St. Thomas United States Department of Electrical and Computer Engineering Inha University Korea Republic of

ISBN: (纸本)9798331521165

Channel coding in sixth-generation (6G) networks must attain exceptionally low bit error rate (BER), typically in the range of 10-6 to 10-9, to ensure the requisite level of reliability. While fifth-generation (5G) New Radio (NR) coding techniques have made substantial progress, the inherent limitations of the low error floor impede the attainment of such stringent BER targets. Compared to the low-density parity check (LDPC) codes employed in 5G communications, generalized low-density parity check (GLDPC) codes offer a more advantageous trade-off between computational complexity and error correction performance in 6G networks. GLDPC codes enhance traditional LDPC structures by incorporating more complex local decoding units within their check nodes. When coupled with cryptographic techniques, GLDPC codes can establish a robust information security framework. In this paper, we propose a new security-based GLDPC that uses a number of BCH matrices for the GLDPC decoding process combined with the Kyber algorithm (BCH-based KyGLDPC) before transmitting data to increase reliability and solve the security problem against quantum computer attacks. The system's performance is assessed using both image data and data encrypted prior to transmission in a white additive Gaussian noise environment. The results indicate that the system provides strong error correction and data security. © 2025 IEEE.

关键词： Qubits

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Analysis and Experimental Implementation of SHEPWM based on Newton-Raphson Algorithm on Three-Phase Inverter using Dspace 1104 2

Analysis and Experimental Implementation of SHEPWM based on ...

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2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Djafer, Lemya Taleb, Rachid Toubal Maamar, Alla Eddine Mehedi, Faycal Mostefaoui, Seyyid Ahmed Rekmouche, Hafidha Department of Electrical Engineering Chlef Algeria University of m'Hamed Bougara of Boumerdes Faculty of Technology Department of Electrical Systems Engineering Boumerdes Algeria Chlef Algeria

ISBN: (纸本)9798350314243

This paper discusses the analysis, simulation and experimental investigation of selective harmonics elimination with pulse width modulation using Newton-Raphson algorithm for three phase inverter. The purpose of using this modulation strategy is to increase the life span of the switching elements and improve the inverter output voltage. This study offers a general analytical description of the harmonic problem and explains the application of a Newton-Raphson algorithm for eliminating some target harmonics step by step. The accuracy of the method has been confirmed using MATLAB environment with a digital signal processor that goes by the name of Dspace 1104. The experimental results matches the simulation ones perfectly, thereby strengthening the previous studies about the effectiveness of the selective harmonics elimination based on Newton-Raphson algorithm. © 2023 IEEE.

关键词： Digital signal processors

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Current Biases and Future Research Avenues for Archive Image Colourisation 16

Current Biases and Future Research Avenues for Archive Image...

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16th IEEE AFRICON, AFRICON 2023

作者： Wachira, Kinyua Mwangi, Elijah Absaloms, Heywood Ouma Jeon, Gwanggil University of Nairobi Department of Electrical and Information Engineering Kenya Incheon National University Department of Embedded Systems Engineering Korea Republic of

ISBN: (纸本)9798350336214

Recent advances in deep learning (DL) have resulted in a proliferation of techniques able to colourise achromatic or monotone images. This was a previously dormant area of image processing due to the under-constrained nature of the problem. Many of these novel methods have been documented and reviewed. Despite this, many colourisation problems persist that include chromatic aberrations, lack of standard datasets and the absence of a quality no-reference assessment measure. This paper presents a brief review of the research field and highlights these salient problems re-framing them as possible avenues for further research;particularly in the archive image domain. © 2023 IEEE.

关键词： Generative adversarial networks

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