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57th Annual International Telemetering Conference, ITC 2022

作者： Milic, Dejan Djordjevic, Goran T. Vasic, Bata Makal, Jaroslaw Vasic, Bane Faculty of Electronic Engineering University of Nis Nis Serbia Faculty of Electrical Engineering Bialystok University of Technology Bialystok Poland Electrical and Computer Engineering Department University of Arizona Tucson United States

We perform statistical characterization of the wireless channel between the low-power transmitter and the receiver moving along the straight path in laboratory conditions. Our aim is to process the measurement results of the signal level variations and propose a model of fading suitable for analytical analysis. In addition, we will determine the appropriate parameter values for the proposed model that describes the statistics of signal intensity with random changes. Based on the measured values, in addition to the first order statistical characteristics, we will determine the second order characteristics, such as level crossing rate and average fade duration. These values are important in estimating the probability of error and ergodic capacity, as well as in the adequate design of the interleaver and error-correction codes. © 2022 International Foundation for Telemetering. All rights reserved.

关键词： Error correction

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Wire grounding electrode placed near cylindrical multi-layered ground non-homogeneity 22

Wire grounding electrode placed near cylindrical multi-layer...

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22nd International Symposium on Electrical Apparatus and Technologies, SIELA 2022

作者： Jovanovic, Dejan Cvetkovic, Nenad Jovanovic, Dragana Vuckovic, Dragan Hederic, Zeljko University of Nis Faculty of Electronic Engineering Nis Serbia Josip J. Strossmayer University Faculty of El. Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (数字)9781665411394

ISBN: (纸本)9781665411394

Analysis and realization of grounding system fulfilling technical requirements, very often require analysis of the influence of soil non-homogeneity on grounding characteristics. In some cases, non-homogeneity can be approximated as vertical homogeneous cylindrical domain. Such non-homogeneities are various tubes, wells or pillar foundation. In this paper, the procedure for modeling of soil non-homogeneity as multilayered cylindrical domain is presented. The approach is based on using the Method of Moments and Green's function, applicable for analysis of grounding electrodes placed in the surrounding soil. Within that, particular procedure for grounding electrode formed of finite number of wires is described. It has been applied on problem of vertical electrode in the vicinity of well having concrete cylindrical shell. © 2022 IEEE.

关键词： Method of moments

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Probabilistic Constellation Shaping for OFDM-Based ISAC Signaling

Probabilistic Constellation Shaping for OFDM-Based ISAC Sign...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Du, Zhen Liu, Fan Xiong, Yifeng Han, Tony Xiao Yuan, Weijie Cui, Yuanhao Yao, Changhua Eldar, Yonina C. School of Electronic and Information Engineering Nanjing University of Information Science & Technology Nanjing China Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen China School of Information and Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Huawei Technologies Ltd. Shenzhen China Weizmann Institute of Science Faculty of Mathematics and Computer Science Rehovot Israel

ISBN: (纸本)9798350370218

Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for the upcoming sixth-generation wireless communication systems (6G). In pursuit of this goal, a common strategy is that a unified waveform, such as Orthogonal Frequency Division Multiplexing (OFDM), should serve dual-functional roles by enabling simultaneous sensing and communications (S&C) operations. However, the sensing performance of an OFDM communication signal is substantially affected by the randomness of the data symbols mapped from bit streams. Therefore, achieving a balance between preserving communication capability (i.e., the randomness) while improving sensing performance remains a challenging task. To cope with this issue, in this paper we analyze the ambiguity function of the OFDM communication signal modulated by random data. Subsequently, a probabilistic constellation shaping (PCS) method is proposed to devise the probability distributions of constellation points, which is able to strike a scalable S&C tradeoff of the random transmitted signal. Finally, the superiority of the proposed PCS method over conventional uniformly distributed constellations is validated through numerical simulations. © 2023 IEEE.

关键词： ambiguity function ISAC OFDM PCS

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A∗ Algorithm-Based Indoor Navigation System for Multi-Story Building 13

A∗ Algorithm-Based Indoor Navigation System for Multi-Story...

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13th IEEE Global Conference on Consumer electronic, GCCE 2024

作者： Sariman, Muhammad Shazmin Othman, Maisara Saon, Sharifah Mahamad, Abd Kadir Kadir, Herdawatie Abdul Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Teknologi Petronas Department of Computer and Information Sciences Perak Malaysia Yamaguchi University Graduate School of Sciences and Technology for Innovation Japan

ISBN: (纸本)9798350355079

Augmented reality (AR)-based indoor guidance is gaining popularity in various industries. With AR's capability to connect to other devices and perform innovative tasks, technological firms are investing heavily in its development. At the beginning of each semester, university students often struggle to navigate the campus, relying on maps or seeking help from others. This project addresses the need for an AR-based indoor navigation app specifically for Block QB, faculty of Electrical and electronic engineering (FKEE), Universiti Tun Hussein Onn Malaysia (UTHM). The proposed method addresses a shortest path planning problem in a multi-story building in a computationally efficient way by adopting an A∗ algorithm. The app incorporates the A∗ algorithm to ensure users can find the fastest and most accurate routes. The indoor navigation app was successfully developed for Android users utilizing the 3D Unity software. It gives users with real-time, precise guidance within the three-story Block QB FKEE building. © 2024 IEEE.

关键词： Motion planning

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Wildlife Intrusion Detection System for Agriculture Protection Based on Image Recognition 13

Wildlife Intrusion Detection System for Agriculture Protecti...

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13th IEEE Global Conference on Consumer electronic, GCCE 2024

作者： Kiat, Yong Kit Som Mahamad, Abd Kadir Saon, Sharifah Othman, Maisara Kadir, Herdawatie Binti Abdul Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Teknologi Petronas Department of Computer and Information Sciences Perak Malaysia Yamaguchi University Graduate School of Sciences and Technology for Innovation Japan

ISBN: (纸本)9798350355079

The proposed project uses a Raspberry Pi microcontroller to prevent crop losses caused by animals like dog, wild pigs, and monkeys. These animals pose a significant threat to farmers, leading to financial losses. This project offers an innovative solution, as it is impractical to physically secure entire fields or have farmers present at all times. Raspberry Pi 4 and the Raspberry Pi Camera Module 2 NoIR havebeen used in this project, to captures images of intruding animals, sends notifications to users, and triggers an alarm. The model obtained an accuracy of 95% for intruder detection. The goal is to provide timely alerts, allowing farmers to respond quickly and minimize crop damage, effectively addressing wildlife-induced agricultural losses. © 2024 IEEE.

关键词： Livestock

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A High-Performance MTJ-LUT Circuit Using 4T1M Architecture 17

A High-Performance MTJ-LUT Circuit Using 4T1M Architecture

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17th IEEE International Conference on Solid-State and Integrated Circuit technology, ICSICT 2024

作者： Pan, Yu Zhang, Yuejun Guo, Shuaicheng Tian, Yuanxin Hong, Bo Fang, Rui Wen, Liang Ding, Yong Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China China Coast Guard Academy Department of Electronic Technology Ningbo315211 China College of Integrated Circuits Zhejiang University Hangzhou310058 China

ISBN: (纸本)9798350361834

As fundamental components of programmable logic circuits, Lookup Table (LUT) circuits enable the implementation of arbitrary combinational logic. The volatility, standby power dissipation, and propagation delay of LUT circuits critically affect the performance of programmable logic circuits. In order to address the problems of circuit volatility, propagation delay and standby power dissipation, a high-performance Magnetic Tunnel Junction LUT (MTJ-LUT) circuit design scheme is proposed based on the 4T1M structure. According to the characteristics of MTJ principle, and comparing with the classical MTJ-LUT memory cell, MTJ-LUT memory module based on 4T1M structure is proposed;Based on the LUT circuit principle of 4T1M structure, a circuit architecture with current mirror bias circuitry is proposed to adopt the compliant reference resistor, and the steady-current-powered reading mode is used to achieve the optimal reading operation and reduce the delay;The circuit function is implemented in SMIC 40nm process using SPICE simulation tool. The experimental results show that the propagation delay and power dissipation of the MTJ-LUT circuit proposed are reduced by 72% and 15%, respectively, compared with the conventional MTJ-LUT circuit. © 2024 IEEE.

关键词： Delay circuits

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Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains

Towards Building a Reputation-Based Microservices Trust Mode...

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19th International Conference on Software Technologies, ICSOFT 2024

作者： Lu, Zhongyi Delaney, Declan T. Li, Tong Lillis, David School of Computer Science University College Dublin Dublin 4 Ireland School of Electrical and Electronic Engineering University College Dublin Dublin 4 Ireland Faculty of Information Technology Beijing University of Technology Beijing100124 China

ISBN: (纸本)9789897587061

Microservices have been seen as a solution to open systems, within which microservices can behave arbitrarily. This requires the system to have strong trust management. However, existing microservices trust models cannot fully support open systems. In this paper, we propose a reputation-based trust model designed for open microservices that groups similar microservices within the same "similarity domain" and includes a trust bootstrapping process and a comprehensive trust computation method. Our proposal introduces a new concept called "trust balancing" to assure that all microservices can fairly be incorporated into the operation of the system. The design of the evaluation plan is also introduced to demonstrate the suitability of the proposed model to open microservice systems. © 2024 by SCITEPRESS – Science and technology Publications, Lda.

关键词： Open systems

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Efficient Deep CNN Model for COVID-19 Classification

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computers, Materials & Continua 2022年第3期70卷 4373-4391页

作者： Walid El-Shafai Amira A.Mahmoud El-Sayed M.El-Rabaie Taha E.Taha Osama F.Zahran Adel S.El-Fishawy Mohammed Abd-Elnaby Fathi E.Abd El-Samie Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Coronavirus(COVID-19)infection was initially acknowledged as a global pandemic in Wuhan in *** Health Organization(WHO)stated that the COVID-19 is an epidemic that causes a 3.4%death *** X-Ray(CXR)and computerized Tomography(CT)screening of infected persons are essential in diagnosis *** are numerous ways to identify positive COVID-19 *** of the fundamental ways is radiology imaging through CXR,or CT *** comparison of CT and CXR scans revealed that CT scans are more effective in the diagnosis process due to their high ***,automated classification techniques are required to facilitate the diagnosis *** Learning(DL)is an effective tool that can be utilized for detection and classification this type of medical *** deep Convolutional Neural Networks(CNNs)can learn and extract essential features from different medical image *** this paper,a CNN architecture for automated COVID-19 detection from CXR and CT images is *** activation functions as well as three optimizers are tested and compared for this *** proposed architecture is built from scratch and the COVID-19 image datasets are directly fed to train *** performance is tested and investigated on the CT and CXR *** activation functions:Tanh,Sigmoid,and ReLU are compared using a constant learning rate and different batch *** optimizers are studied with different batch sizes and a constant learning ***,a comparison between different combinations of activation functions and optimizers is presented,and the optimal configuration is ***,the main objective is to improve the detection accuracy of COVID-19 from CXR and CT images using DL by employing CNNs to classify medical COVID-19 images in an early *** proposed model achieves a classification accuracy of 91.67%on CXR image dataset,and a classification accuracy of 100%on CT dataset with training times of 58 min and 46 min on CXR an

关键词： COVID-19 image classification CNN DL activation functions optimizers

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DDFAD: Dataset Distillation Framework for Audio Data

arXiv

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arXiv 2024年

作者： Jiang, Wenbo Zhang, Rui Li, Hongwei Liu, Xiaoyuan Yang, Haomiao Yu, Shui The School of Computer Science and Engineering University of Electronic Science and Technology of China China The School of Computer Science The Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia

Deep neural networks (DNNs) have achieved significant success in numerous applications. The remarkable performance of DNNs is largely attributed to the availability of massive, high-quality training datasets. However, processing such massive training data requires huge computational and storage resources. Dataset distillation is a promising solution to this problem, offering the capability to compress a large dataset into a smaller distilled dataset. The model trained on the distilled dataset can achieve comparable performance to the model trained on the whole dataset. While dataset distillation has been demonstrated in image data, none have explored dataset distillation for audio data. In this work, for the first time, we propose a Dataset Distillation Framework for Audio Data (DDFAD). Specifically, we first propose the Fused Differential MFCC (FD-MFCC) as extracted features for audio data. After that, the FD-MFCC is distilled through the matching training trajectory distillation method. Finally, we propose an audio signal reconstruction algorithm based on the Griffin-Lim Algorithm to reconstruct the audio signal from the distilled FD-MFCC. Extensive experiments demonstrate the effectiveness of DDFAD on various audio datasets. In addition, we show that DDFAD has promising application prospects in many applications, such as continual learning and neural architecture search. Copyright © 2024, The Authors. All rights reserved.

关键词： Distillation

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Performance Comparison of dSPACE and MCU MPC Implementation in PV Power Optimizer

Performance Comparison of dSPACE and MCU MPC Implementation ...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Metry, Morcos Guler, Naki Rohouma, Wesam Balog, Robert S. Texas A&m University Department of Electrical and Computer Engineering Doha Qatar Gazi University Department of Electrical-Electronic Engineering Technology Faculty Ankara Turkey University of Doha for Science and Technology Department of Electrical Engineering Doha Qatar Texas A&m University Department of Electrical and Computer Engineering College StationTX United States

ISBN: (纸本)9798350316445

Finite control set model predictive control (MPC) can be computationally intensive especially when scaled up for more complicated converters since each state variable in the system is evaluated for all possible switching configurations. Multi-objective optimization of the cost function adds to the complexity of MPC. Much of the MPC literature in power electronics relies on expensive rapid prototyping (RP) platforms (RPP) such as dSPACE and OPAL RT. This paper aims to bridge the gap between expensive RPP and low-cost MCUs by exploring the feasibility of rapid prototyping (RP) on the low-cost F28379D launchpad. This paper is aimed toward the practitioner or researcher who desires to reduce to practice the MPC methods developed on a RPP to a lower-cost embedded controller. The suitability of a low-cost Texas Instrument (TI) launchpad to perform the same rapid-prototyping functions needed for MPC regulator development in a full-featured, high-end RPP is discussed. Experimental results using the dSPACE 1006 and the F28379D Launchpad showing steady-state performance and dynamic response are illustrated and compared. Comparative results show the F28379D launchpad and dSPACE 1006 offer similar performance markers. © 2023 IEEE.

关键词： Low-cost controller Model Predictive Control Power electronics rapid prototyping platforms

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