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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Abuelrub, Abdelaziz Refaat, Shady S. Kameli, Sayed Mohammad Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar School of Physics Engineering and Computer Science University of Hertfordshire Hatfield United Kingdom

ISBN: (纸本)9781665464543

High voltage (HV) power cables are exposed to various stresses, such as chemical, electrical, mechanical, and thermal. These stresses contribute to the eventual failure of electrical power cables in an unpredictable manner. Cross-linked polyethylene (XLPE) is an essential component of a power cable’s insulation layers, and unwanted stresses negatively affect the insulation layers’ performance in various ways. In this paper, three 3D Maxwell finite element analysis (FEA) models of a single core, 30 kV DC power cable are built to study the effects of chemical stress, electrical stress, and mechanical stress on the characteristics of polymer insulation material. The main parameter utilized for determining insulation health in this work is the polarization index. Temporal evolution in the polarization index is investigated, as aging-induced stresses degrade the XLPE’s structure. The severity of chemical stress, electrical stress, and mechanical stress is estimated and compared based on the polarization index, with a focus on chemical stress, highlighting the severity of the deformation caused within the inner polymeric structure of XLPE. The severity is obtained for the innermost and outermost insulation layers. It was discovered that the insulation layer’s proximity to the cable’s core is the main factor influencing degradation. Moreover, the obtained results successfully demonstrate the polarization index’s ability to detect degradation after the 95-day mark, indicated by the substantial increase in polarization index values, common between all stress types applied. © 2024 IEEE.

关键词： Crosslinking

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Design and Performance Assessment of Variable Fractional Order PID controller 3

Design and Performance Assessment of Variable Fractional Ord...

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3rd IEEE applied Signal Processing Conference, ASPCON 2023

作者： Mukherjee, Nishant Sen, Kausik Chakraborty, Biswajit University of Calcutta Instrumentation Engineering Department of Applied Physics Kolkata India Jadavpur University Department of Electrical Engineering Kolkata India

ISBN: (纸本)9798350325881

This paper puts forth a new controller design of Fractional Order PID (FOPID) controllers i.e., Variable Fractional Order PID (VFOPID) controller. It has been contrived by utilizing three distinct values of λ (integral order) and μ (derivative order) considering different regions of process output. Existing control schemes like Ziegler Nichols (ZN) tuning, Fixed Set Point Weighting (FSPW) and Variable Set Point Weighting (VSPW) fail to provide satisfactory results in both, initial transient and load rejection phases. In this context, VFOPID can provide better response during both phases. The effectiveness of the proposed VFOPID controller is demonstrated by considering two different process models and their perturbed models in MATLAB simulation platform. The supremacy of the proposed controller is established by comparing the various performance indices of existing control methods and the suggested controller. From the results it is observed that, VFOPID shows excellent robust control ability under considerable perturbation which makes it superior. © 2023 IEEE.

关键词： Robust control

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Study of Photonic Platforms for On-Chip Refractive Index Sensing

Study of Photonic Platforms for On-Chip Refractive Index Sen...

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2024 Photonics North, PN 2024

作者： El Shamy, Raghi Swillam, Mohamed A. Li, Xun Faculty of Engineering Department of Electrical and Computer Engineering McMaster University Hamilton Canada School of Science and Engineering Department of Physics The American University in Cairo New Cairo Egypt

ISBN: (纸本)9798350366365

Here we present a rigorous study for the different integrated photonic platforms that can be used for on-chip refractive index (RI) sensing. The study includes the widespread silicon photonics platform, the silicon nitride platform and the silica platform. We compare these three platforms according to five parameters that determine the performance and reliability of the RI sensor. Finally, we conclude with the optimum platform for on-chip RI sensing according to the available technology and the aimed application. © 2024 IEEE.

关键词： Silicon nitride

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Machine Learning-Based Models for Magnetic Resonance Imaging(MRI)-Based Brain Tumor Classification

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Intelligent Automation & Soft Computing 2023年第4期36卷 299-312页

作者： Abdullah A.Asiri Bilal Khan Fazal Muhammad Shams ur Rahman Hassan A.Alshamrani Khalaf A.Alshamrani Muhammad Irfan Fawaz F.Alqhtani Department of Radiological Sciences College of Applied Medical SciencesNajran UniversityNajranSaudi Arabia Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan Department of Computer Science Engineering University of Engineering and TechnologyMardan23200Pakistan Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia

In the medical profession,recent technological advancements play an essential role in the early detection and categorization of many diseases that cause *** technique rising on daily basis for detecting illness in magnetic resonance through pictures is the inspection of ***(computerized)illness detection in medical imaging has found you the emergent region in several medical diagnostic *** diseases that cause death need to be identiﬁed through such techniques and technologies to overcome the mortality *** brain tumor is one of the most common causes of *** have already proposed various models for the classiﬁcation and detection of tumors,each with its strengths and weaknesses,but there is still a need to improve the classiﬁcation process with improved efﬁ***,in this study,we give an in-depth analysis of six distinct machine learning(ML)algorithms,including Random Forest(RF),Naïve Bayes(NB),Neural Networks(NN),CN2 Rule Induction(CN2),Support Vector Machine(SVM),and Decision Tree(Tree),to address this gap in improving *** the Kaggle dataset,these strategies are tested using classiﬁcation accuracy,the area under the Receiver Operating Characteristic(ROC)curve,precision,recall,and F1 Score(F1).The training and testing process is strengthened by using a 10-fold cross-validation *** results show that SVM outperforms other algorithms,with 95.3%accuracy.

关键词： MRI images brain tumor machine learning-based classiﬁcation

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Using Zodiacal Light For Spaceborne Calibration Of Polarimetric Imagers

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IEEE Transactions on Pattern Analysis and Machine Intelligence 2023年 PP卷 1-12页

作者： Avitan, Or Schechner, Yoav Y. Behar, Ehud Viterbi Faculty of Electrical and Computer Engineering Technion-Israel Institute of Technology Haifa Israel Department of Physics Technion-Israel Institute of Technology Haifa Israel

We propose that spaceborne polarimetric imagers can be calibrated, or self-calibrated using zodiacal light (ZL). ZL is created by a cloud of interplanetary dust particles. It has a significant degree of polarization in a wide field of view. From space, ZL is unaffected by terrestrial disturbances. ZL is insensitive to the camera location, so it is suited for simultaneous cross-calibration of satellite constellations. ZL changes on a scale of months, thus being a quasi-constant target in realistic calibration sessions. We derive a forward model for polarimetric image formation. Based on it, we formulate an inverse problem for polarimetric calibration and self-calibration, as well as an algorithm for the solution. The methods here are demonstrated in simulations. Towards these simulations, we render polarized images of the sky, including ZL from space, polarimetric disturbances, and imaging noise. IEEE

关键词： Calibration

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A Digital Calibration Source for 21 cm Cosmology Telescopes

A Digital Calibration Source for 21 cm Cosmology Telescopes

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2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025

作者： Bhopi, Kalyani Tyndall, Will Cole, Morgan Helfenbein, Mallory Bandura, Kevin Newburgh, Laura Lane Department of Computer Science and Electrical Engineering MorgantownWV United States Department of Physics Yale New HavenCT United States

ISBN: (纸本)9781946815200

Radio surveys of the red-shifted 21 cm emission line from neutral hydrogen provide a means to measure statistical cosmological signals that cannot be measured through other means. Many past experiments have shown that the major challenge for carrying out 21 cm measurements is the presence of bright foregrounds from the galaxy, and suppressing these foregrounds has become vital in 21 cm Cosmology. Attempts to separate signal and foreground components have led to new developments in hardware specifically dedicated to instrument calibration. The measurement of the instrument beam is implemented by flying radio calibration sources over an interferometric array to measure beam pattern. The calibration sources currently used in literature are broadband incoherent sources that can be detected as total power only, and no direct phase sensitivity is recorded. As a result, these instruments must contend with signal-to-noise issues where the beam has low response as well as the lack of a direct phase measurement without a reference antenna. © 2025 USNC-URSI.

关键词： Cosmology

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Smart Devices Based Multisensory Approach for Complex Human Activity Recognition

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computers, Materials & Continua 2022年第2期70卷 3221-3234页

作者： Muhammad Atif Hanif Tallha Akram Aamir Shahzad Muhammad Attique Khan Usman Tariq Jung-In Choi Yunyoung Nam Zanib Zulfiqar Department of Electrical and Computer Engineering COMSATS University IslamabadWah Campus47040Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad Campus22040Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Applied Artificial Intelligence Ajou UniversitySuwonKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Department of Electrical and Computer Engineering CUISahiwalPakistan

Sensors based Human Activity Recognition(HAR)have numerous applications in eHeath,sports,fitness assessments,ambient assisted living(AAL),human-computer interaction and many *** human physical activity can be monitored by using wearable sensors or external *** usage of external devices has disadvantages in terms of cost,hardware installation,storage,computational time and lighting conditions ***,most of the researchers used smart devices like smart phones,smart bands and watches which contain various sensors like accelerometer,gyroscope,GPS etc.,and adequate processing *** the task of recognition,human activities can be broadly categorized as basic and complex human *** of complex activities have received very less attention of researchers due to difficulty of problem by using either smart phones or smart *** reasons include lack of sensor-based labeled dataset having several complex human daily life *** of the researchers have worked on the smart phone’s inertial sensors to perform human activity recognition,whereas a few of them used both pocket and wrist *** this research,we have proposed a novel framework which is capable to recognize both basic and complex human activities using builtin-sensors of smart phone and smart *** have considered 25 physical activities,including 20 complex ones,using smart device’s built-in *** the best of our knowledge,the existing literature consider only up to 15 activities of daily life.

关键词： Complex human activities human daily life activities features extraction data fusion multi-sensory smartwatch smartphone

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Detection and Classification of Pulsed Doppler Radar Signals Using Deep Learning 1

Detection and Classification of Pulsed Doppler Radar Signals...

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1st International Conference on Global Aeronautical engineering and Satellite Technology, GAST 2024

作者： Grover, Suhani Gupta, Sujal Mandpura, Anup Delhi Technological University Department of Applied Physics New Delhi India Delhi Technological University Department of Electrical Engineering New Delhi India

ISBN: (纸本)9798350371598

Pulsed Doppler radars are commonly used in military applications, especially in aircraft and missile systems, as they are able to detect and track fast-moving targets, such as enemy aircraft, while filtering out ground clutter and slower-moving objects. Classification of modulation types in airborne radar signals is essential for ensuring efficient and reliable communication, target identification, and interference rejection. This research paper presents a comprehensive study on modulation classification techniques for radar signals on an airborne module. The transmitter identity message signal is coded with pseudo-random noise codes and modulated using five modulations, namely, BASK, BFSK, BPSK, QAM and QPSK. Additionally, it is also subjected to Additive White Gaussian Noise(AWGN) and Rayleigh distribution for multipath fading in wireless transmission environments. The paper proposes a modulation recognition scheme based on multi-class classification, hierarchical feature extraction using a convolutional neural network (CNN) and residual neural network (ResNet50) architecture. The simulated result indicates that the proposed method demonstrates adaptability to modulational recognition even in low Signal-to-Noise Ratio (SNR) environments. © 2024 IEEE.

关键词： Signal detection

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Rational strategy for power doubling of monolithic multijunction Ⅲ-Ⅴ photovoltaics by accommodating attachable scattering waveguides

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Light(Science & Applications) 2024年第11期13卷 2734-2744页

作者： Shin Hyung Lee Hyo Jin Kim Jae-Hyun Kim Gwang Yeol Park Sun-Kyung Kim Sung-Min Lee School of Electrical Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Optoelectronic Convergence Research Center Korea Photonics Technology InstituteGwangju 61007Republic of Korea Department of Applied Physics Kyung Hee UniversityYongin 17104Republic of Korea Department of Electrical Engineering Hanyang UniversitySeoul 04763Republic of Korea Division of Materials Science and Engineering Hanyang UniversitySeoul 04763Republic of Korea

While waveguide-based light concentrators offer significant advantages,their application has not been considered an interesting option for assisting multijunction or other two-terminal tandem solar *** this study,we present a simple yet effective approach to enhancing the output power of transfer-printed multijunction InGaP/GaAs solar *** utilizing a simply combinable waveguide concentrator featuring a coplanar waveguide with BaSO4 Mie scattering elements,we enable the simultaneous absorption of directly illuminated solar flux and indirectly waveguided *** deployment of cells is optimized for front-surface photon collection in monofacial *** systematic comparisons across various waveguide parameters,supported by both experimental and theoretical quantifications,we demonstrate a remarkable improvement in the maximum output power of a 26%-efficient cell,achieving an enhancement of~93%with the integration of the optimal scattering ***,a series of supplementary tests are conducted to explore the effective waveguide size,validate enhancements in arrayed cell module performance,and assess the drawbacks associated with rear *** findings provide a comprehensive understanding of our proposed approach towards advancing multi-junction photovoltaics.

关键词： waveguide scattering power

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A Robust Speech Encryption Method Using Segmentation and Chaotic Keys for Enhanced Audio Security 1

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3rd International Conference on Advances in Computing Research, ACR 2025

作者： Abu-Faraj, Mua’ad Al-Hyari, Abeer Alqadi, Ziad Department of Computer Information Systems The University of Jordan Aqaba77110 Jordan Department of Electrical Engineering Al-Balqa Applied University As Salt19117 Jordan Department of Computers and Networks Engineering Al-Balqa Applied University Amman15008 Jordan

ISBN: (数字)9783031876479

ISBN: (纸本)9783031876462

This paper presents an innovative method for safeguarding audio files. The proposed technique leverages an advanced primary key with a complex structure, offering a vast keyspace resistant to hacking. The private key includes details for segmenting the speech audio file and generating unique chaotic keys for encryption. These keys are extremely sensitive to minor changes in the primary key, flagging any slight alteration during decryption as a hacking attempt. The method is tested and implemented on various speech signals, with the results analyzed to highlight the main features and improvements. The findings demonstrate how the technique improves encryption and decryption by optimizing metrics such as MSE, PSNR, CC, and NSCR. Speed analysis verifies the method’s performance by maximizing the throughput of the speech cryptography process. The results are compared with existing approaches to show the superiority and enhancements provided. This method is straightforward to implement, as it does not require modifying the algorithm when altering the speech audio file or the private key, making it a versatile solution for various speech encryption needs. This research is highly relevant to network security, as it ensures the integrity and confidentiality of transmitted speech signals, preventing unauthorized access and improving overall communication security. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Speech enhancement

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