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7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023

作者： Khudhur, Ahmed Mahmood Alwan, Mohammed Hasan Al Omairi, Qayssar Mahmood, Omar Abdulkareem Hammadi, Yousif I Muthanna, Mohammed Saleh Ali Aziz, Ahmed Muthanna, Ammar Information Technology Department College Of Computer Science And Information Technology Kirkuk University Iraq Department Of Communications Engineering College Of Engineering University Of Diyala Baqubah32001 Iraq Department Of Computer Engineering College Of Engineering University Of Diyala Iraq Bilad Alrafidain University College Diyala32001 Iraq Institute Of Computer Technologies And Information Security Southern Federal University Taganrog344006 Russia Department Of Computer Science Faculty Of Computer And Artificial Intelligence Benha University Egypt Department Of International Business Management Tashkent State University Of Economics Tashkent Uzbekistan Department Of Telecommunication Networks And Data Transmission The Bonch Bruevich Saint Petersburg State University Of Telecommunications Russia Department Of Applied Probability And Informatics Peoples Friendship University Of Russia Russia

ISBN: (纸本)9798400709036

Cardiovascular diseases, also known as CVDs, currently rank as the primary incidence of mortality. The present approach for identifying illnesses involves the analysis of the Electrocardiogram (ECG), an electronic diagnostic device utilized to capture the rhythm of the heart. Regrettably, the process of seeking out specialists to conduct analysis on a substantial volume of electrocardiogram (ECG) data results in a significant depletion of medical capabilities. Hence, the utilization of deep learning algorithms for the identification of ECG characteristics has progressively gained prominence. Nevertheless, there exist certain limitations associated with these conventional approaches, which necessitate the need for manual characteristic identification, intricate models, and extensive training duration. This study presents a novel and effective approach for categorizing the five different types of heartbeats in the MIT-BIH Arrhythmia database. The proposed method involves the utilization of a 16-layer deep one-dimensional convolutional neural network, which exhibits both robustness and efficiency in its classification performance. Thus, the designed model is consisting of five-groups, first to fourth groups are the main feature extraction and mapping blocks, while the fifth group is fully connected and classification layers. The findings indicate that the model presented in this study has superior performance in terms of accuracy, precision, and F1-score. The proper classification of medical cases has a significant impact on the conservation of medical resources, hence positively influencing clinical practice. Additionally, the model training phase is characterized by its efficiency, since it does not significantly deplete resources. © 2023 ACM.

关键词： Electrocardiograms

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Measurement of Leakage Radiation from Random Nanoislands for Machine Learning-Based Prediction

Measurement of Leakage Radiation from Random Nanoislands for...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Hongki Lee Seongmin Im Sukhyeon Ka Jooyoung Kim Jaekwon Lee Kar-Ann Toh Donghyun Kim Department of Electrical & Computer Engineering University of California at San Diego School of Electrical and Electronic Engineering Yonsei University Seoul Korea

This work addresses measurement of leakage radiation characteristics for prediction of far-field images of random nanoisland structures. Leakage radiation images as well as morphology of nanoislands were used to obtai... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Correlation Morphology Measurement by laser beam Machine learning Lasers and electrooptics Laser modes Nanostructures

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Resource-Aware Aggregation Mapping for Service Function Chain in Edge-Cloud Elastic Optical Networks

Resource-Aware Aggregation Mapping for Service Function Chai...

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Optoelectronics and Communications Conference, OECC

作者： Jun Yu Huijie Yang Jian Dang Hong Chen Mingyi Gao Bowen Chen Pin-Han Ho School of Electronic and Information Engineering Soochow University Suzhou China Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada

In this paper, we propose a resource-aware aggregation mapping approach for service function chain. Simulation results show that the proposed mapping approach achieves better performance in terms of blocking probabili... 详细信息

ISBN: (数字)9798350308396

ISBN: (纸本)9798350308402

关键词： Performance evaluation Service function chaining Simulation Elastic optical networks Edge computing

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Near-Far Field Boundary Analysis and Transmit Covariance Optimization for Dual-Polarized XL-MIMO Communications

Near-Far Field Boundary Analysis and Transmit Covariance Opt...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Zeng, Shuhao Di, Boya Zhang, Hongliang Han, Zhu Poor, H. Vincent School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China Princeton University Department of Electrical and Computer Engineering United States School of Electronics Peking University Beijing China University of Houston Electrical and Computer Engineering Department United States Kyung Hee University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350368369

Extremely large-scale multiple-input multiple-output (XL-MIMO) is expected to play an important role in future sixth generation (6G) networks. Most existing works in this area focus on single-polarized XL-MIMO, where transceivers transmit and receive signals in only one polarization direction, leading to degraded data rates. To improve multiplexing performance, in this paper, we investigate downlink XL-MIMO networks with dual-polarized antennas. However, unlike conventional dual-polarized massive MIMO, the cross-polarization discrimination (XPD) of channels vary across base station antennas in dual-polarized XL-MIMO due to the enlarged antenna aperture, leading to following two challenges. First, conventional near-far field boundary is insufficient as it only accounts for phase differences across array elements while irrespective of XPD differences. Second, existing transmit covariance optimization methods developed for dual-polarized massive MIMO cannot be directly utilized, since they are developed based on uniform XPD and pathloss assumptions. To address these challenges, we model the variations of XPD across antennas, based on which a non-uniform XPD distance is introduced to complement existing near-far field boundary. Based on the new distance criterion, we propose an efficient scheme for optimizing the transmit covariance, which considers the non-uniform XPD and pathloss. Numerical results validate our analysis and demonstrate the effectiveness of the proposed algorithm. © 2025 IEEE.

关键词： Carrier communication

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Nonlinear Digital Self-Interference Cancellation for Side-Lobe Leakage in MIMO Full-Duplex Systems

Nonlinear Digital Self-Interference Cancellation for Side-Lo...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Hyowon Lee Ian P. Roberts Namyoon Lee Department of Electrical Engineering POSTECH Pohang South Korea Department of Electrical and Computer Engineering UCLA Los Angeles USA Department of Electronic Engineering Korea University Seoul South Korea

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

Digital self-interference cancellation (SIC) plays an essential role in realizing both in-band and sub-band full-duplex wireless systems. In this work, we present a novel digital SIC algorithm which adaptively cancels the nonlinear self-interference (SI) introduced by nonideal hardware in real-world wireless systems. The proposed approach extends our recent work, called AOP-LMS, to cancel the aggregate SI incurred at each receive antenna in a multi-antenna transceiver. We introduce a means to trade off SIC performance for complexity by simplifying our approach to scale with the number of beams (spatial streams) rather than the number of transmit antennas. We then show that the proposed approach is capable of cancelling both in-band SI and sub-band SI via a digital frequency compensation. Simulation confirms that our proposed approach reliably cancels in-band SI, sub-band SI, and both concurrently—all to near the noise floor.

关键词： Wireless communication Interference cancellation Transmitting antennas Receiving antennas Full-duplex system Hardware Transceivers Complexity theory Reliability Streams

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A Review of Intelligent IoT Devices at the Edge

A Review of Intelligent IoT Devices at the Edge

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2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022

作者： Afachao, Kevin Abu-Mahfouz, Adnan M. University of Pretoria Department of Electrical Electronic and Computer Engineering Hatfield Pretoria South Africa Pretoria0083 South Africa

ISBN: (纸本)9798350396768

The Internet of Things is fast expanding with paradigms to describe its new frontiers. A more closely tied term to the Internet of Things is Edge Computing, which describes empowering devices at the edge with intelligence. One characteristic of these edge devices is the improved latency provided against Cloud computing. The network edge is an under-utilized area and by merging intelligence with edge computing devices, we can effectively exploit it with novel approaches. This paper seeks to bring to light several 'Internet of Things' devices at the edge and their capability in bringing intelligence to the network edge. A novel approach is introduced by comparing devices concerning the processing capability, memory capacity and applications. It is then clear, that there are many devices today on par with smartphones equally capable of deploying intelligence at the edge. © 2022 IEEE.

关键词： Internet of things

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Development of a Wireless CPR Assistance Glove to Monitor and Guide Rescuers in Performing Cardiopulmonary Resuscitation 16

Development of a Wireless CPR Assistance Glove to Monitor an...

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16th IEEE Malaysia International Conference on Communication, MICC 2023

作者： Chang, Kai Han Chong, Kim Soon Tiang, Sew Sun Lim, Wei Hong Mokayef, Mastaneh Tan, Bee Sian Technology & Built Environment UCSI University Faculty of Engineering Kuala Lumpur Malaysia UCSI University Department Electrical & Electronic Engineering Kuala Lumpur Malaysia Tunku Abdul Rahman University of Management and Technology Department of Computer Science and Embedded Systems Kuala Lumpur Malaysia

ISBN: (纸本)9798350304343

Cardiopulmonary resuscitation (CPR) assistance glove represents a valuable tool for monitoring chest compressions during CPR, which is crucial for effective cardiac arrest response. By incorporating an MPU6050 accelerometer sensor and a force sensing resistor, the glove enables accurate measurement of the chest compression rate and force exerted. Preliminary testing demonstrated the glove's effectiveness in simulating chest compressions, with data collected and transmitted wirelessly to MATLAB software. Manual counting and MATLAB analysis validated the accuracy of compression rate calculations, while force sensing resistor voltage readings provided insights into the force exerted during compressions. These results highlight the glove's potential to significantly enhance the precision and quality of CPR administration, improving outcomes for cardiac arrest patients. © 2023 IEEE.

关键词： Resuscitation

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Strong nonlinear optical processes with extraordinary polarization anisotropy in inversionsymmetry broken two-dimensional PdPSe

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Light(Science & Applications) 2024年第8期13卷 1524-1533页

作者： Song Zhu Ruihuan Duan Xiaodong Xu Fangyuan Sun Wenduo Chen Fakun Wang Siyuan Li Ming Ye Xin Zhou Jinluo Cheng Yao Wu Houkun Liang Junichiro Kono Xingji Li Zheng Liu Qi Jie Wang School of Electrical and Electronic Engineering Nanyang Technological University639798 SingaporeSingapore School of Material Science and Engineering Nanyang Technological University639798 SingaporeSingapore CINTRA CNRS/NTU/THALES UMI 3288Research Techno PlazaNanyang Technological University637371 SingaporeSingapore School of Materials Science and Engineering Harbin Institute of Technology150001 HarbinChina Department of Chemistry National University of Singapore117543 SingaporeSingapore GPL Photonics Lab State Key Laboratory of Applied OpticsChangchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of Sciences130033 ChangchunChina School of Electronics and Information Engineering Sichuan University610064 ChengduSichuanChina School of Physical and Mathematical Sciences Nanyang Technological University637371 SingaporeSingapore Departments of Electrical and Computer Engineering Physics and Astronomyand Materials Science and NanoEngineeringRice UniversityHoustonTXUSA

Nonlinear optical activities,especially second harmonic generation(SHG),are key phenomena in inversion-symmetrybroken two-dimensional(2D)transition metal dichalcogenides(TMDCs).On the other hand,anisotropic nonlinear optical processes are important for unique applications in nano-nonlinear photonic devices with polarization functions,having become one of focused research topics in the field of nonlinear ***,the strong nonlinearity and strong optical anisotropy do not exist simultaneously in common 2D ***,we demonstrate strong secondorder and third-order susceptibilities of 64 pm/V and 6.2×10^(-19)m^(2)/V^(2),respectively,in the even-layer PdPSe,which has not been discovered in other common TMDCs(e.g.,MoS2).Strikingly,it also simultaneously exhibited strong SHG anisotropy with an anisotropic ratio of~45,which is the largest reported among all 2D materials to date,to the best of our *** addition,the SHG anisotropy ratio can be harnessed from 0.12 to 45(375 times)by varying the excitation wavelength due to the dispersion ofχ^(2)*** an illustrative example,we further demonstrate polarized SHG imaging for potential applications in crystal orientation identification and polarization-dependent spatial *** findings in 2D PdPSe are promising for nonlinear nanophotonic and optoelectronic applications.

关键词： materials anisotropy nonlinear

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VisionEdge: Cataract Detection via Smartphone

VisionEdge: Cataract Detection via Smartphone

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International Conference on computer and Information Technology (ICCIT)

作者： Nourash Azmine Chowdhury Abdul Ahad Ajmain Mahtab Alam Abrar Fahim Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Department of Electrical and Electronic Engineering Islamic University of Technology Dhaka Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

Cataracts, a prevalent eye disease globally, often go undetected until later stages due to complex diagnostic methods. This paper presents VisionEdge, which employs Edge Intelligence for cataract detection using a smartphone. With a 99.11% accuracy rate and a small size that makes it perfect for mobile deployment, MobileNetV2 was the best model among those that were evaluated. Hence, making remarkable improvements towards enhancing cataract screening. Deployed through the SmartEye Android app, it significantly enhances accessibility to cataract screening by eliminating the need for specialized equipment. Integrating mobile technology and Edge Intelligence promises a widespread impact on healthcare delivery, potentially expanding to address other ocular diseases.

关键词： Cataracts Technological innovation Accuracy Image edge detection Computational modeling Transforms Propulsion Eye diseases Smart phones Tuning

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Hybrid ABC-PSO Algorithm based Static Synchronous Compensator for Enhancing Power System Stability

Hybrid ABC-PSO Algorithm based Static Synchronous Compensato...

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International Conference on Power Systems (ICPS)

作者： Md. Faiyaj Ahmed Limon Md. Fazle Hasan Shiblee Abdur Rouf Md. Shahid Iqbal Department of Electrical & Electronic Engineering Sylhet Engineering College Sylhet Bangladesh Department of Computer Science Engineering Sylhet Engineering College Sylhet Bangladesh

This paper introduces a Hybrid Artificial Bee Colony and Particle Swarm Optimization (HABC-PSO) approach for static synchronous compensator (STATCOM) implementation, aimed at improving system damping, addressing low-frequency and sub-synchronous oscillations, and enhancing overall power system stability. The proposed control strategy optimizes both the AC and DC voltage regulator’s proportional-integral (PI) of the STATCOM using a time-domain objective function. To assess the effectiveness of this control scheme, we conducted steady-state and transient analyses using a kundur multi-area four-machine model. The simulation results were analyzed to assess the generator’s rotor speed deviation, angle deviation, and bus-bar voltage deviation when using the HABC-PSO-based STATCOM. These results were then compared with scenarios both with and without the STATCOM, which included an examination of the settling times for rotor speed deviation (Δ ω) and angle deviation (Δ δ) of generators between the two areas. The simulation outcomes affirm that the proposed HABC-PSO based STATCOM is more resilient and efficient in mitigating inter-area oscillations, ultimately strengthening the power system stability.

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