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A Compact Petal Shaped Two-Port MIMO Antenna for Quad-Band Millimeter Wave 5G Applications

A Compact Petal Shaped Two-Port MIMO Antenna for Quad-Band M...

引用

2023 International Telecommunications Conference, ITC-Egypt 2023

作者： Parveez Shariff, B.G. Ali, Tanweer Mane, Pallavi R Kumar, Pradeep Kumar, Praveen Manipal Institute of Technology Manipal Academy of Higher Education Dept. of Electronics and Communication Manipal576104 India University of KwaZulu-Natal Discipline of Electrical Electronic and Computer Engineering Durban4041 South Africa

ISBN: (纸本)9798350326062

A compact size nature-inspired, petal shaped two-port MIMO antenna is proposed to operate at V- and E-band. Initially, a single-element antenna is designed to resonate for quad-band. The proposed antenna resonates at 41.7 GHz, 51.75 GHz, 71.4 GHz, and 78.9 GHz, with bandwidths of 41.25-42.3 GHz, 51.45-52.05, 70.35-72.3 GHz, and 78.15-79.65 GHz respectively. A two-port MIMO antenna design is supported by a full ground plane, where radiating elements are apart 0.25λ_0 from the edges. The overall dimension of the structure is 0.726λ_0x1.675λ_0. The MIMO antenna has obtained isolation of -30.36, -31.27, -22.9, and -34.27 dB at respective bands. A decent gain of 8.64, 7.93, 7.15, and 11.84 dBi is obtained at respective bands. The proposed MIMO antenna has satisfied the ECC, DG, CCL, and TARC validation. This antenna is suitable for aeronautical mobile, maritime, 5G mobile, and radio navigation applications. © 2023 IEEE.

关键词： 5G mobile communication systems

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Characterization of MOS Varactors in 40 nm CMOS Technology at 77 K and 4 K 31

Characterization of MOS Varactors in 40 nm CMOS Technology a...

引用

31st Asia-Pacific Microwave Conference, APMC 2023

作者： Liou, Fang-Chuan Huang, Tzuen-Hsi National Cheng Kung University Institute of Computer and Communication Engineering Tainan Taiwan National Cheng Kung University Dept. of Electrical Engineering Tainan Taiwan National Cheng Kung University TSMC-NCKU AIR-Center Tainan Taiwan

ISBN: (纸本)9781665494182

In this work the characterization of MOS varactors are performed by using three testkeys fabricated in tsmc 40-nm CMOS technology. We investigate the characteristics of MOS varactors at cryogenic temperatures as well as at room temperature for comparisons. The comparisons of varactor capacitances and Q factors at 300 K, 77 K, and 4 K are given. The capacitance of varactors and other parasitic parameters were extracted by using on-wafer de-embedding skill. Based on the observations from the simulation and the measurement data, equivalent circuit models are also proposed. These equivalent circuit models aim to properly represent the RF behavior of varactors at cryogenic temperatures for RF oscillator design applications. © 2023 IEEE.

关键词： cryogenic temperatures on-wafer de-embedding quality factor quantum computing varactor

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Active Element Arrangement and Prediction Model for Channel Estimation in IRS-Assisted systems

Active Element Arrangement and Prediction Model for Channel ...

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IEEE Region 10 International Conference TENCON

作者： Yoshihiko Tsuchiya Norisato Suga Kazunori Uruma Masaya Fujisawa Dept. of Information and Computer Technology Tokyo University of Science Tokyo Japan Dept. of Information and Communication Engineering Shibaura Institute of Technology Tokyo Japan Dept. of Computer Science Kogakuin University Tokyo Japan

ISBN: (数字)9798350350821

ISBN: (纸本)9798350350838

Intelligent reflecting surfaces (IRS) that can dynamically control the phase of radio waves and reflect them are attracting attention to realize non line-of-sight communication in the high-frequency band. Channel state information (CSI) is estimated to properly control the phase, however the overhead of the estimation reduces communication efficiency. To reduce the overhead, IRS systems with active elements that perform channel estimation are considered. One approach treats the partial CSI obtained from the active elements as an image and utilizes a super-resolution technique to predict the entire CSI. However, because the active elements are arranged in grid, prediction is difficult when the active elements spacing and the CSI fluctuation period match. In this study, we propose a new arrangement that gathers the active elements in the center of the IRS. Furthermore, we regard prediction as an image-inpainting problem that recovers missing pixels from known pixel values, and we propose applying the U-Net to solve this problem. Numerical experiments show that the proposed method outperforms conventional methods in prediction accuracy and spectral efficiency.

关键词： Fluctuations Accuracy Surface waves Spectral efficiency Superresolution Channel estimation Line-of-sight propagation Predictive models Numerical models IEEE Regions

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Reinforcement Learning Based UAV Swarm communications Against Jamming

Reinforcement Learning Based UAV Swarm Communications Agains...

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IEEE International Conference on communications (ICC)

作者： Zefang Lv Guohang Niu Liang Xiao Chengwen Xing Wenyuan Xu Dept. of Information and Communication Engineering Xiamen University School of Information and Electronics Beijing Institute of Technology Dept. of System Science and Engineering Zhejiang University

Reinforcement learning based unmanned aerial vehicle (UAV) swarm communications have to address the challenges raised by the large-scale dynamic network and strong jamming and interference. In this paper, we propose a multiagent reinforcement learning based UAV swarm anti-jamming communication scheme to optimize the UAV relay selection and power allocation based on the network topology, channel states, previous performance and the network states shared by neighboring UAVs. This scheme formulates the policy distribution to improve the policy space exploration and designs a soft learning mechanism to guide the policy update and stabilize the learning process. According to transfer learning, the shared swarm experiences are exploited to accelerate the initial policy learning. We investigate the computational complexity of the proposed scheme and derive the performance bound regarding the message bit error rate, the swarm energy consumption and the utility. Simulation results show that the proposed scheme improves the swarm communication performance and saves energy consumption compared with the benchmark scheme.

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Fovea Segmentation Using Semi-Supervised Learning 20

Fovea Segmentation Using Semi-Supervised Learning

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20th IEEE India Council International Conference, INDICON 2023

作者： Ghosh, Ankita Khose, Sahil Kamath, Yogish S. Kuzhuppilly, Neetha I. R. Harish Kumar, J.R. Manipal Academy of Higher Education Manipal Institute of Technology Dept. of Computer Science and Engineering Manipal India Manipal Academy of Higher Education Manipal Institute of Technology Dept. of Information and Communication Technology Manipal India Manipal Academy of Higher Education Kasturba Medical College Dept. of Ophthalmology Manipal India Manipal Academy of Higher Education Manipal Institute of Technology Dept. of Electrical and Electronics Engineering Manipal India

ISBN: (纸本)9798350305593

Despite the accessibility of retinal fundus images in recent years, fovea segmentation is an exacting task due to the insufficiency of labelled data. In this paper, we propose a deep learning pipeline which utilizes unlabelled data alongside labelled data for the segmentation of fovea. We train 484 labelled images using the Deeplabv3+ architecture and deploy EfficientNet-B3 as the encoder in the framework. Additionally, we introduce semi-supervised learning in our pipeline and train 1200 unlabelled images by generating their pseudo labels. We evaluate our results on the Jaccard index, Dice score, sensitivity, specificity and accuracy. Our Dice score of 82.43% and Jaccard index of 70.52% surpasses the existing methods. We obtain 91.74% sensitivity, 99.75% specificity and 99.57% accuracy. © 2023 IEEE.

关键词： Fovea Segmentation Semi-supervised learning

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A Novel Disturbance Particle Filtering Algorithm for Reduced Degeneracy and Improved Tracking Accuracy

A Novel Disturbance Particle Filtering Algorithm for Reduced...

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Conference on Information and communication Technology (CICT)

作者： Deepthi Kattula Praveen B. Choppala Rajesh K. Pullagura Paul D. Teal Dept. of Electronics & Communication Engineering Andhra University India School of Engineering & Computer Science Victoria University of Wellington New Zealand

ISBN: (数字)9798331531539

ISBN: (纸本)9798331531546

Particle filtering is a Bayesian technique used for tracking moving targets in nonlinear dynamic systems. However, the resampling step in this filter is computationally intensive, limiting its application in real-time tracking. This paper introduces a methodology that eliminates the need for resampling while effectively parallelizing the particle filter. The approach involves iteratively sampling multiple heading disturbances for each particle until unbiasedness is achieved. This method is highly suitable for parallel processing since all particles are handled in batches, rather than sequentially as in the resampling process. The benefits of the proposed technique are demonstrated through a simulated study.

关键词： Target tracking systematics Limiting Heuristic algorithms Parallel processing Information filters Real-time systems Particle filters Nonlinear dynamical systems Information and communication technology

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Data Extraction from an Electrocardiogram Signal and QRS Peak Detection Employing Wavelet-Based Approach 3

Data Extraction from an Electrocardiogram Signal and QRS Pea...

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3rd International Conference for Emerging Technology, INCET 2022

作者： Ahmed Himu, Sheik Erfan Kalam, Safayet Das, Rana Nayem, Jannatul Sirajudeen, Safdhan Kabir, Md. Maharaj Abrar, Fahim Choity, Tasnia Fahrin International Islamic University Chittagong Dept. of Electrical and Electronic Engineering Chittagong Bangladesh South Eastern University of Sri Lanka Dept. of Information and Communication Technology Sri Lanka International Islamic University Chittagong Dept. of Computer Science and Engineering Chittagong Bangladesh

ISBN: (纸本)9781665494991

The electrocardiogram (ECG) is a powerful diagnostic tool for attaining physiological signals. It can detect a wide range of information about a patient's pathophysiological individual state. A wavelet transform (WT) based method is introduced in this paper to analyze ECG signals. Reviewing the theory behind ECG and WT as well as identifying and summarizing the potential applications for applying WT to examine ECG are also done in this paper. Moreover, an algorithm is applied on the basis of WT to perform ECG beat segmentation and subsequently extract useful clinical parameters. ECG data from the physio-net as well as real patient data will be tested with this algorithm. The results demonstrate that even subtle changes in the ECG from synthetic data can be detected through the algorithm. Afterwards, the performed test data will be compared with previous work. So, this newly introduced system has become reliable and significant for biomedical research. © 2022 IEEE.

关键词： Electrocardiograms

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Interdigital Bandpass Filter Passband Shifting and Miniaturization Study Based on Via Hole Location and Diameter

Interdigital Bandpass Filter Passband Shifting and Miniaturi...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Minjong Yoo Kyngmin Park Huijune Kang Youna Jang Jongsik Lim Dal Ahn Dept. of Electrical Communication System Engineering Soonchunhyang University Asan Republic of Korea Dept. Information and Convergence Technology Soonchunhyang University Asan Republic of Korea Dept. Electric Engineering Soonchunhyang University Asan Republic of Korea

ISBN: (数字)9798350364163

ISBN: (纸本)9798350364170

This paper analyzes the passband shift of a microstrip line interdigital bandpass filter as a function of the position and diameter of the via holes. It was found that the passband shifted to a lower frequency range when the via hole was placed at the edge of the resonator and its diameter was reduced. To compensate for this passband shift, the length of the resonator was shortened and adjusted to match the intended 3400-3600 MHz bandwidth. The substrate used has a thickness of 0.762 mm, a dielectric constant of 2.97 and a loss tangent of 0.0012. As a result, based on the longest resonator used in this proposed structure, the size was reduced by approximately 13.15% compared to a conventional structure.

关键词： Band-pass filters Microstrip filters Dielectric constant Resonator filters Resonant frequency Dielectric losses Bandwidth Passband Electromagnetics Substrates

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PsychSynth: Advancing Mental Health AI Through Synthetic Data Generation and Curriculum Training

PsychSynth: Advancing Mental Health AI Through Synthetic Dat...

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International Conference on computer Science and engineering (UBMK)

作者： Vedanta S P Madhav Rao Dept. of Computer Science and Engineering IIIT-Kottayam Kottayam India Department of Electronics & Communication Engineering IIIT-Bangalore Bangalore India

ISBN: (数字)9798350365887

ISBN: (纸本)9798350365894

The number of Mental-health help seekers are on rise over recent years, but the medical practitioners are limited due to which the healthcare system is heavily loaded and thereby the outcome is not promising. Advanced AI Technology is expected to ease this problem, however completely relying on the tools is reported to not work with the help seekers. Hence technology to assist help seekers and allow the healthcare system to screen the needy ones from the large pool of distress candidates should make the system efficient a nd effective.H owever for establishing the AI supportive system, two challenges exists: one is the large pool of dataset with diversity, and other is the AI model to respond to a context-aware situations. Expecting large dataset for training model from medical community needs further infrastructure support to make it digitally available with embedded annotations. Relying patiently for the dataset will miss the opportunity to serve the distress patients. Hence synthetic dataset generation and its validation from medical experts is an alternative for training robust and reliable model. Besides, context-aware curriculum inspired AI based summarizer model is found appropriate to adopt for this use-case where relevant features meant for diagnosing the problem is extracted from the improvised input text. The proposed curriculum trained AI model helps in transforming the improvised text inputs fed from the distress individuals to a summarized version representing domain expert form, embedded with symptoms related features for further classification. The synthetic data-set g eneration through OpenAI's GPT-40 models and Nemotron models are further evaluated with BERT based classifier m odels a nd curriculum based AI model. The training of the classifier m odels are also evaluated for synthetic and real-world dataset, which was scrapped from Reddit forum. Around 800 stream of real-world posts were evaluated from the medical experts and their findings related

关键词： Training Adaptation models Accuracy Social networking (online) Computational modeling Feature extraction Data models Artificial intelligence Medical diagnostic imaging Synthetic data

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AgeSynthGAN: Advanced Facial Age Synthesis with StyleGAN2

AgeSynthGAN: Advanced Facial Age Synthesis with StyleGAN2

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IEEE Visual communications and Image Processing (VCIP)

作者： Tung-Ke Hsieh Tsung-Jung Liu Kuan-Hsien Liu Dept. of Electrical Engineering and Graduate Institute of Communication Engineering National Chung Hsing University Taiwan Dept. of Computer Science and Information Engineering National Taichung University of Science and Technology Taiwan

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Facial age synthesis is an important research area that aims to synthesize facial images from the past (age progression) or the future (age regression) by reflecting the age factors of a given face. Ideally, this task should be able to synthesize natural faces of different ages while maintaining identity consistency. However, existing methods suffer from background blur and inconsistency issues when processing the generated images. In this study, we propose a new method that utilizes semantic segmentation technology and attention mechanisms to solve these problems. Through this method, we can control the background of the generated image, making it clearer and more consistent, and we added an attention mechanism to better extract the features of faces. Additionally, we introduce a shape loss to simulate the shape changes of faces across different ages. We evaluate our approach through both qualitative and quantitative assessments. The results show that, compared with state-of-the-art methods, our approach is visually superior, achieves higher age accuracy, and provides reasonable identity confidence. Overall, our research presents a new method for facial age synthesis with promising applications and theoretical significance. The source code and model are available at https://***/34QX5O.

关键词： Attention mechanisms Shape Visual communication Source coding Semantic segmentation Transforms Aging Feature extraction Faces Facial features

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