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2023 International Conference on Sustainable Emerging Innovations in engineering and Technology, ICSEIET 2023

作者： Mukti, Bayu Krisna Novita, Mega Amirudin, Muhammad Singh, Sanjay Kumar Harjanto, Imadudin Bhardwaj, Priyanka Kusmantoro, Adhi Roy, Manidipa Universitas Pgri Semarang Faculty of Engineering and Informatics Department of Electrical Engineering Jl. Sidodadi Timur No. 24 Central Java Semarang50232 Indonesia Universitas Pgri Semarang Postgraduate Program of Science Education Jl. Sidodadi Timur No. 24 Central Java Semarang50232 Indonesia ABES Engineering College Department of Electronics & Communication Engineering 19th KM Stone NH-09 Uttar Pradesh Ghaziabad201009 India

ISBN: (纸本)9798350329186

The Covid-19 pandemic has emphasized the critical role of mask-wearing in reducing virus transmission. However, declining public awareness necessitates effective monitoring solutions. This study explores the Single Shot Multibox Detector (SSD) approach, a Convolutional Neural Networks (CNN)-based object detection method, for mask detection. Specifically, we investigate the performance of the SSD model with the ResNet50 architecture as the base network. Through the analysis of a dataset comprising 1000 images of individuals wearing and not wearing masks, the SSD model with ResNet50 achieves an impressive accuracy of 98.23%, surpassing the VGG16-based model's accuracy of 93.56%. These findings underscore the superiority of the CNN-based SSD model with ResNet50 for mask detection. Moreover, they have significant implications for real-time monitoring and enforcing mask-wearing protocols, emphasizing the importance of public awareness and adherence. Leveraging advanced AI techniques, such as CNN-based object detection with SSD, strengthens public health initiatives. The development of robust and efficient mask detection systems contributes to creating a safer environment amid the ongoing Covid-19 pandemic. This research highlights the value of harnessing these advanced technologies to effectively address public health crises. By employing CNN-based SSD with ResNet50, society can enhance its ability to mitigate risks and ensure public safety. © 2023 IEEE.

关键词： Object detection

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Early detection and staging of retinitis pigmentosa using multifocal electroretinogram parameters and machine learning algorithms

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Physical and engineering sciences in medicine 2025年 2025 Jun 16页

作者： Bayram Karaman Ayse Öner Aysegül Güven Graduate School of Natural and Applied Sciences Biomedical Engineering Graduate Program Erciyes University Kayseri Turkey. baryamkaraman103@***. Department of Electrical and Electronics Engineering Engineering and Architecture Faculty Tokat Gaziosmanpasa University Tokat Turkey. baryamkaraman103@***. Department of Ophthalmology Acibadem Taksim Hospital Istanbul Turkey. Department of Biomedical Engineering Engineering Faculty Erciyes University Kayseri Turkey.

Retinitis pigmentosa is an inherited retinal disease caused by damage to photoreceptor cells. Diagnosis and staging of this disease are crucial for early intervention and effective treatment planning. In this study, the amplitude and latency features of N1, P1, and N2 waves obtained from multifocal electroretinogram responses over five rings were used with binary and multiclass classification methods using four different machine learning algorithms to distinguish retinitis pigmentosa patients from healthy individuals and to evaluate the stages of the disease. Binary classifications were performed for six different groups, and the Naive Bayes (NB) algorithm performed the best on all evaluation metrics, achieving 99% accuracy in distinguishing healthy individuals from each disease stage. Furthermore, multiclass classification was applied in two different steps. In the first step, the Naive Bayes model achieved 82% accuracy in four-class classification, including healthy individuals. Considering the near-perfect separability of healthy individuals, in the second step, a three-class classification including only disease stages was performed, and the model achieved 76% accuracy. These results indicate that the proposed approach provides objective and accurate staging for retinitis pigmentosa and can serve as a valuable decision support system to assist ophthalmologists in clinical practice.

关键词： Logistic regression Multifocal electroretinogram Multilayer perceptron neural networks Naive Bayes Retinitis pigmentosa Support vector machine

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Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding

arXiv

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arXiv 2023年

作者： Alexandre, David Hang, Hsueh-Ming Peng, Wen-Hsiao Electrical Engineering and Computer Science International Graduate Program Institute of Electronics Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan

Typical video compression systems consist of two main modules: motion coding and residual coding. This general architecture is adopted by classical coding schemes (such as international standards H.265 and H.266) and deep learning-based coding schemes. We propose a novel B-frame coding architecture based on two-layer Conditional Augmented Normalization Flows (CANF). It has the striking feature of not transmitting any motion information. Our proposed idea of video compression without motion coding offers a new direction for learned video coding. Our base layer is a low-resolution image compressor that replaces the full-resolution motion compressor. The low-resolution coded image is merged with the warped high-resolution images to generate a high-quality image as a conditioning signal for the enhancement-layer image coding in full resolution. One advantage of this architecture is significantly reduced computational complexity due to eliminating the motion information compressor. In addition, we adopt a skip-mode coding technique to reduce the transmitted latent samples. The rate-distortion performance of our scheme is slightly lower than that of the state-of-the-art learned B-frame coding scheme, B-CANF, but outperforms other learned B-frame coding schemes. However, compared to B-CANF, our scheme saves 45% of multiply–accumulate operations (MACs) for encoding and 27% of MACs for decoding. The code is available at https://***. Copyright © 2023, The Authors. All rights reserved.

关键词： Image coding

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Modified Turnstile Antenna Design for Multi-Band and Broadband Applications

Modified Turnstile Antenna Design for Multi-Band and Broadba...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： I-Fong Chen Chia-Mei Fei-Lung Wu Jian-An Xie Dept. of Computer and Communication School of Electronics and Electrical Engineering Dongguan Polytechnic Jinwen University of Science and Technology New Taipei City Taiwan Department of Communications Engineering Feng Chia University Taichung City Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung City Taiwan

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

The proposed antenna with a size of 90 mm x 90 mm, and the ground portion is 64 mm x 64 mm, which material is FR4 glass epoxy substrate with the thickness of 1.6 mm, relative permittivity of 4.3 and loss tangent of 0.023, consists of four modified dipole elements and four power dividers, as shown in Figure. 1. For the multi-band and broadband operation, three dipole antennas were shunted to be a dipole element. The electrical-length of the dipole element can be determined from the one quarter-wave length at the 2.45 GHz, 5.5 GHz and 6.525 GHz, for covering 2400 MHz-2500 MHz, 5150 MHz-5850 MHz and 5925 MHz-7125 MHz. In order to operates in various modes such as normal mode and axial mode, the modified four port triple-band microstrip series power divider was designed. In normal mode, it radiates horizontally polarized waves where as in axial mode, it radiates circularly polarized waves. The radiated patterns of the proposed antenna as shown in Figure. 2. The features of the proposed antenna are shown in the Table I. Impressive radiated gains and efficiencies are obtained.

关键词： Power dividers Dipole antennas Conferences Glass Broadband communication Broadband antennas Microstrip

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Experimental Evaluation of Commercial Powerline Communication System for Monitoring of Sensors in Industrial Processes

Experimental Evaluation of Commercial Powerline Communicatio...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Murilo Oliveira Leme Sergio Luiz Stevan Department of Electronics UTFPR-PG Federal University of Technology -Parana (UTFPR) Ponta Grossa Brazil Postgraduate Program in Electrical Engineering - PPGEE Federal University of Technology - Parana (UTFPR) Ponta Grossa Brazil

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Industrial automation systems use distributed computing architecture, comprising industrial networks with a wiring bus that is standardized to integrate their devices and monitoring process. A number of technologies, in a wide range of application levels, must operate in hostile environments, with high temperatures, humidity and magnetic interference. The Industry 4.0 applications requires that the communication infrastructure provide "last mile" communication services with a high level of reliability, which may increase costs and complexity of that infrastructure. Within such scenario, there is a growing demand for simpler and robust systems for monitoring and supervision of industrial processes. Powerline communication (PLC) is one of such systems that could provide ease of use and maintenance, since it uses the power system for serial digital data communication. This system has been commonly used in home applications, but it carries a great potential for the management of an industrial plant. Here, we present a new concept for the hardware, which collects field signals with PLC for industrial applications, using a Commercial-Of-The-Shelf (COST) modem. Three different setups have been performed, for a specific application that could be integrated to any industrial computer. The system has been experimentally evaluated in severe industrial environments, considering different noise levels, and provided reliable communication.

关键词： Wiring Costs Wireless networks Interference Sensor systems Sensors Power system reliability

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The Effect of Vehicles Speed on the Performance of VANET Protocol

The Effect of Vehicles Speed on the Performance of VANET Pro...

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Advanced engineering and Technologies (ICONNIC), International Conference on

作者： Osama A. Qasim Dania Mohammed Mahdi Mohammed S. Noori Rabei Raad Ali Christy Atika Sari Eko Hari Rachmawanto Department of Computer Engineering Technology Northern Technical University Mosul Iraq Department of Electrical and Electronics Engineering Uniersiti Tenaga Nasional Selangor Malaysaia Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia

At present, ad hoc networks are getting a lot of attention, because they have many features that differ from the rest of the networks and because they are technically advanced. In routing protocols, the Vehicular Ad-hoc network (VANET) differ in performance because each protocol has different variables, such as variable density, speed, and traffic scenarios. In this work, we proposed topology-based routing namely Ad hoc On Demand Distance Vector (AODV) protocol. The AODV protocol has been simulated in case of the movement of vehicles at a fixed velocity at 60km/h, and in case of randomly changing the vehicle's locations in the network. There are three parameters used to investigate the performance of the proposed AODV protocol which are packet delivery ratio, and overheads. The Simulation results show a significant decrease from 0.55 to 0.82 in the packet delivery ratio. On the other hand, the performance of the AODV protocol demonstrates effective communication for the VANETs.

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Ultra Wide Dynamic Range High Power RF Rectifier

Ultra Wide Dynamic Range High Power RF Rectifier

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European Conference on Antennas and Propagation, EuCAP

作者： Xiaochen Yu Jinyao Zhang Minzhang Liu Yi Huang Ta-Jen Yen Jiafeng Zhou Department of Electrical Engineering and Electronics University of Liverpool Liverpool UK Department of Materials Science and Engineering National Tsing Hua University Hsinchu Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan

A high-power RF-to-DC rectifier applied to wireless power transfer (WPT) with ultra-wide input power dynamic range is proposed in this paper. A GaN (gallium nitride) HEMT (high electron mobility transistor) is utilized to realize rectification at high power up to 12 W and a Schottky diode is used for lower-power rectification. Excellent switching between the two circuits’ rectification modes is achieved by adding a circulator. The rectifier has a 30 dB dynamic range with an efficiency of over 50% at 2.4 GHz.

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Reachability Analysis of Nonlinear Discrete-Time Systems Using Polyhedral Relaxations and Constrained Zonotopes

arXiv

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arXiv 2025年

作者： Rego, Brenner S. Raffo, Guilherme V. Terra, Marco H. Scott, Joseph K. Department of Chemical and Biomolecular Engineering Georgia Institute of Technology 311 Ferst Dr. AtlantaGA30318 United States Department of Electrical and Computer Engineering University of São Paulo SP São Carlos13566-590 Brazil Department of Electronics Engineering the Graduate Program in Electrical Engineering Federal University of Minas Gerais MG Belo Horizonte31270-901 Brazil

This paper presents a novel algorithm for reachability analysis of nonlinear discrete-time systems. The proposed method combines constrained zonotopes (CZs) with polyhedral relaxations of factorable representations of nonlinear functions to propagate CZs through nonlinear functions, which is normally done using conservative linearization techniques. The new propagation method provides better approximations than those resulting from linearization procedures, leading to significant improvements in the computation of reachable sets in comparison to other CZ methods from the literature. Numerical examples highlight the advantages of the proposed algorithm. © 2025, CC BY-NC-ND.

关键词： Numerical methods

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Endurance > 1011Cycling of 3D GAA Nanosheet Ferroelectric FET with Stacked HfZrO2to Homogenize Corner Field Toward Mitigate Dead Zone for High-Density eNVM

Endurance > 1011Cycling of 3D GAA Nanosheet Ferroelectric FE...

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2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022

作者： Liao, C.-Y. Hsiang, K.-Y. Lou, Z. -F. Tseng, H.-C. Lin, C.-Y. Li, Z.-X. Hsieh, F.-C. Wang, C.-C. Chang, F.-S. Ray, W.-C. Tseng, Y.-Y. Chang, S.T. Chen, T.-C. Lee, M.H. National Taiwan Normal University Institute and Undergraduate Program of Electro-Optical Engineering Taipei Taiwan National Yang Ming Chiao Tung University Department of Electronics Engineering and Institute of Electronics Hsinchu Taiwan Synopsys Taiwan Co. Ltd. Tcad Silicon Engineering Group Hsinchu Taiwan National Chung Hsing University Department of Electrical Engineering Taichung Taiwan Taiwan Semiconductor Manufacturing Company Corporate Research Hsinchu Taiwan

ISBN: (纸本)9781665497725

After 1011 high endurance cycles with memory window (MW) =0.9 V is achieved for the 3D gate-all-around (GAA) nanosheet (NS) ferroelectric field-effect transistor (FeFET) based on double-HZO;the aim is to homogenize the corner field and mitigate dead zones. The interlayer Al2O3 or TiN in the double-HZO exhibits MW enhancement or low access voltage, respectively. The proposed MFMFS GAA-FeFET demonstrates a low VP/E = ±3.5 V (±2.3 MV/cm), large MW = 1.3 V, >1011 robust endurance cycles, and stable storage with data retention of >2×104 s;therefore, physical dimension scaling of the embedded nonvolatile memory (eNVM) is feasible for future generations. © 2022 IEEE.

关键词： Aluminum oxide

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The Evolution of Non-invasive Hemoglobin Measurement with IoT and AI-Based Optical Sensors

The Evolution of Non-invasive Hemoglobin Measurement with Io...

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International Conference on electrical engineering, Computer Science and Informatics (EECSI)

作者： Tole Sutikno Lina Handayani Rochana Ruliyandari Oktomi Wijaya Hendril Satrian P Watra Arsadiando Master Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Faculty of Public Health Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded System and Power Electronics Research Group (ESPERG) Yogyakarta Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

Hemoglobin measurement has significantly evolved with the integration of IoT and artificial intelligence (AI) technologies. This paper presents the evolution of non-invasive hemoglobin measurement using IoT and AI-based optical sensors. IoT and AI-based optical sensors have revolutionized the field of hemoglobin quantification, allowing us to measure this important biomarker in a way that isn't invasive or difficult to handle. The use of optical sensing technology, along with IoT frameworks and AI methods, has improved the accuracy and usefulness of hemoglobin tests, showing a promising way to improve healthcare outcomes. However, challenges remain in the field of non-invasive hemoglobin measurement, such as precision constraints, data security, and privacy safeguards. Despite these challenges, the future landscape of non-invasive hemoglobin measurement leveraging IoT and AI-powered optical sensors appears poised to transform healthcare delivery significantly. Together, IoT and AI-based optical sensors have the potential to revolutionize healthcare monitoring and diagnosis.

关键词： Accuracy Electric variables measurement Medical services Optical variables measurement Real-time systems Optical sensors Reliability Artificial intelligence Medical diagnostic imaging Monitoring

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