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9th International Conference on Wireless communications, Signal Processing and Networking, WiSPNET 2024

作者： Archana, Addetla Sirisha, Gosula Sathvika, Nuthanapati Sai Ayyem Pillai, V. Gokaraju Rangaraju Institute of Engineering and Technology Electronics and Communication Engineering Telangana India

ISBN: (纸本)9798350350845

This study presents the design and analysis of a F Shaped Planar Inverted Antenna with diverse slots suited for high-gain applications at a frequency of 2.4 GHz. This antenna can be used in Wi-Fi and WiMAX applications. Various slots, like the H slot, the L slot, and the crossed slot, are designed. In this design, an FR4 substrate of 1.5mm thickness is present, and an air gap of 5mm is present between the ground and radiating patch. Various slots on the radiating patch are constructed, simulated, and compared using CST Studio Suite. A gain of 5.627 dB is achieved by implementing the H slot, 5.83 dB for the crossed slot, and 6.913 dB for the L slot. Among these, the L slot has been most successful in terms of achieving high gain. © 2024 IEEE.

关键词： Wi-Fi

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Design of SIW Based Dual Feed Antenna for 5G communication Systems 9

Design of SIW Based Dual Feed Antenna for 5G Communication S...

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9th International Conference on Science, technology, engineering and Mathematics, ICONSTEM 2024

作者： Sathishkumar, N. Anitha, B. Muhammad, A.Anzel Raj, B.V. Gokul Bhuvanesh, P.S. Kpr Institute of Engineering And Technology Department of Electronics And Communication Engineering Coimbatore India

ISBN: (纸本)9798350365092

Computerized stages expanding use in remote requests high information rates, dependability, and association quality. Single receiving wire frameworks battle, prompting the expanded spotlight on MIMO antenna in current high velocity correspondence frameworks. A holedup component has been noticed, where pit energy from one port is emanated into free space, permitting high seclusion between two receiving wire components without extra detaching or decoupling networks. This study proposes a design to enhance antenna performance by improving isolation between massive MIMO antenna elements, a crucial parameter for 5G communication applications. The planned self-diplexing MIMO antenna with improved aspects works at 3.5 GHz and 3.7 GHz. Every method is analysed in light of boundaries like S-boundaries (return misfortune or reflection coefficient), VSWR, disengagement level, and pinnacle gain. The plan structure is created and approved tentatively. The smallness and promising execution concerning low ECC ( © 2024 IEEE.

关键词： Antenna feeders

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Unified Image Mastery : An Integrated Approach to Image Enhancement, Object Detection and Classification 4

Unified Image Mastery : An Integrated Approach to Image Enha...

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4th International Conference on Multimedia Processing, communication and Information technology, MPCIT 2024

作者： Vandana, N. Vidyasagar, K.N. Suguresh Hanamanal, Vachan Arun Pujari, Rahul R. School of Electronics and Communication Engineering REVA University India

ISBN: (纸本)9798350375466

The proposed system integrates YOLOv5 [1] for object detection, CMFNet [2] for image enhancement, and ResNet [3] for image classification into a unified framework for comprehensive image analysis. This integrated approach overcomes limitations of standalone methods, providing a seamless platform for various image analysis tasks. The system demonstrates improved performance in visual quality enhancement, real-time object detection, and accurate image classification across diverse scenarios. The proposed design allows for flexibility and future extensibility, making it adaptable to evolving requirements in computer vision applications. © 2024 IEEE.

关键词： Image classification

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Investigating the Impact of Thickness on Microwave Absorber Based on Eco-Friendly Rice Husk in the X-Band 2

Investigating the Impact of Thickness on Microwave Absorber ...

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2nd International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Gupta, Hitender Rai, Mayank Kumar Khanna, Rajesh Thapar Institute of Engineering and Technology Electronics and Communication Engineering Department Patiala India

ISBN: (纸本)9798350382952

This paper uses the eco-friendly agriculture material as alternative for conventional microwave absorber to absorb the undesired electromagnetic radiation in X-band frequency range from 8.2 to 12.4 GHz. In this article, rice husk is used as microwave absorber due to its biodegradable nature, good dielectric properties and economic value. Two samples named as RH-4 and RH-5 is prepared with thickness of 4mm and 5mm to analyze the impact of thickness on the reflection loss of the microwave absorber. The dielectric parameters, including dielectric constant and loss factor, of the samples are determined using the transmission line method. The reflection loss is assessed using the input impedance equation and CST-MWS software. The performance of absorber is estimated in terms of their dielectric properties and reflection loss, respectively. For RH-5, the calculated absorption bandwidth is 2.7 GHz whereas for RH-4, it's 1 GHz, respectively. The result shows how the thickness of the microwave absorber affects its total performance in terms of how much energy it can convert into heat. © 2024 IEEE.

关键词： Dielectric properties

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Leveraging Convolutional Neural Networks for Classifying Lymphoma Using Histopathological Images

Leveraging Convolutional Neural Networks for Classifying Lym...

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2024 IEEE International Conference on Information technology, electronics and Intelligent communication Systems, ICITEICS 2024

作者： Aravind, K.R. Kumar, K. Anil Reddy, V. Vijay Deepak Yadlapalli, Priyanka Gokaraju Rangaraju Institute of Engineering and Technology Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350382693

The lymphatic system serves as the origin of lymphoma, a cancerous condition in which lymphocytes undergo a malignant transformation and begin to divide uncontrollably. As the medical experts need more time to determine the type of lymphoma based on the histopathologic images. We used CNNs for the classification of lymphomas. In this work, we used the Multi Cancer Dataset for image classification. The Multi Cancer Dataset contains lymphoma images categorized into 3 classes and contains 15000 images with a size of 512× 512 pixels. Here we used a customized pre trained model to classify the images. We achieved accuracy of 96.2% and sensitivity of 96.2% in classifying lymphomas on histopathology images using the customized pre trained model. The preliminary results show how CNNs can be used to achieve a strong and correct classification of lymphomas, making them quite useful as an aid in histopathologic diagnosis. © 2024 IEEE.

关键词： Lung cancer

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Designing a UWB Antenna at Receiving End for Wireless Capsule Endoscopy 2

Designing a UWB Antenna at Receiving End for Wireless Capsul...

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2nd International Conference on Power, Electrical, electronics and Industrial Applications, PEEIACON 2024

作者： Hridika, Rabeya Rubbaiyath Islam, Sheikh Md. Rabiul Khulna University of Engineering & Technology Department of Electronics and Communication Engineering Khulna Bangladesh

ISBN: (纸本)9798331517984

Wireless endoscopic capsule systems incorporate the combination of hardware and software components to safeguard individual health. Among the various antenna technologies in the field, the Ultra-Wideband (UWB) frequency range is highly regarded for its ability to transmit medical images captured by capsules inside the digestive tract with high resolution and minimal signal loss. While passive capsules have been developed, the design of on-body antennas has lagged. This suggested study offers a comprehensive examination of a newly developed on-body antenna functioning within the 3.75-4.25 GHz frequency range. The evaluated antenna exhibits advantageous directivity, achieving 3.1016 dBi without a cavity and 7.9361 dBi with a cavity when directed towards the body. The intended placement of this on-body antenna is on the surface of the body. Simulations are performed with an abdominal multi-layer model, incorporating the navel region of a voxel model, to evaluate its effectiveness in various bodily contexts. The antenna's performance will also be evaluated in proximity to a human abdomen. The simulation findings demonstrate that the suggested antenna, whether featuring a cavity or not, enhances in-body communication when positioned on the belly, minimizing signal loss and exhibiting a markedly low SAR value. On-body measurements additionally validate the antenna's robust functionality. This tiny planar antenna is seen as a good candidate for integration with wireless capsule endoscopic devices on the body. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Dual-Band Antenna System for Advanced Tactical communication Networks in Next Generation Military Applications 9

Dual-Band Antenna System for Advanced Tactical Communication...

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9th International Conference on Science, technology, engineering and Mathematics, ICONSTEM 2024

作者： Sathishkumar, N. Aravind, S. Dharaneeshwaran, N.P. Karthik, R. Dharun Gowtham, K. Kpr Institute of Engineering And Technology Department of Electronics And Communication Engineering Coimbatore India

ISBN: (纸本)9798350365092

Design of dual antenna systems for advanced tactical communications networks in future military applications is presented in this work. This framework is designed for defense-oriented 5G implementations operating within the frequency bands of 28 GHz and 38 GHz. A circular ring comprises the horizontal and vertical segments that comprise the proposed geometry. The capacitive loading effect of the channels carved into the incised gallop ring significantly diminishes the acoustic characteristics of the lower surface. The microstrip input line, characterized by a nominal impedance of 50 O, exhibits a biphasic configuration in its connection to the Substrate Integrated Waveguide (SIW) antenna. Moreover, at frequencies of 28 GHz and 38 GHz, the circular ring slot is integrated into the Transverse Electric (TE) 101 mode for the former and TE102 mode for the latter, respectively. The impedance bandwidths that have been measured are 27.85 to 28.10 GHz and 37.99 to 37.95 GHz. The measured peak values for the upper and lower bands fall within the intervals of 8.10 and 8.22 dBi and 6.96 and 7.15 dBi, respectively. The construction of the envisioned antenna involved the use of RT/droid 5880, a substrate material distinguished by a dielectric constant of 2.2. The evaluation and scrutiny of the developed antenna were completed by employing the CST software application. © 2024 IEEE.

关键词： Military applications

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Handwriting Dynamic Assessment using Deep Neural Network Multi Layer Perceptron for Parkinsons Disease Classification 3

Handwriting Dynamic Assessment using Deep Neural Network Mul...

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3rd International Conference on communication, Control, and Intelligent Systems, CCIS 2024

作者： Arasavali, Nalineekumari Jaffir, Sheik Lavanya, Bommisetti Ashok, Dailapalli Kumar, Ponnada Tarun Dadi Institute of Engineering & Technology Department of Electronics & Communication Engineering Visakhapatnam India

ISBN: (纸本)9798331528201

Parkinson's disease (PD) is a neurodegenerative disorder that significantly affects motor functions, often leading to tremors and abnormal handwriting dynamics. Early diagnosis is crucial for effective treatment, yet accurate detection remains a challenge due to the complex nature of motor impairments. This study explores a novel application of a Deep Neural Network Multi-Layer Perceptron (DNN-MLP) model to assess handwriting dynamics and classify individuals into control or patient groups. The dataset utilized consists of various handwriting metrics such as root mean square, mean relative tremor, and differences in radii between exam templates and handwritten traces. By training the DNN-MLP on these features, an accuracy of 83% was achieved, surpassing other traditional classifiers such as Support Vector Machine (81%), Random Forest (75%), and k-Nearest Neighbours (77%). Our results demonstrate that the DNN-MLP model's ability to capture intricate handwriting patterns makes it a promising tool for the early detection of Parkinson's disease. Further refinement and larger datasets could enable the deployment of this approach in clinical settings, potentially improving diagnostic accuracy and patient outcomes. © 2024 IEEE.

关键词： Support vector machines

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Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language

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International Journal of Speech technology 2024年第3期27卷 687-700页

作者： Abubakar, Abdulqahar Mukhtar Gupta, Deepa Vekkot, Susmitha Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Department of Electronics & amp Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

Research on voice recognition for African languages is limited due to the scarcity of digital resources for training and adaptation, despite its broad usefulness. The Hausa language, spoken by almost fifty million inhabitants in West and Central Africa, is an example of a linguistic domain that has not been thoroughly studied. The Hausa language employs diacritics, which are symbols located above alphabetical characters to convey further information. By removing diacritics, the number of homographs increases, making it difficult to distinguish between similar words. This paper presents a study on speech recognition in the Hausa Language, specifically focusing on diacritized words. The study utilises the state-of-the-art wave2vec2.0 and Whisper deep learning architecture models, for transcribing audio signals into corresponding Hausa text. According to the results obtained in the study, the Whisper-large deep model emerged as the best, achieving a word error rate of 4.23% representing a considerable improvement of 43.9% when compared to the existing state-of-the-art model for Hausa language speech recognition. Additionally, the Whsiper-large model demonstrated a diacritic coverage of 92%, precision of 98.87%, with a diacritic error rate of 2.1%. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep learning

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Advancing Liver Cancer Diagnosis: Innovative Deep Learning Algorithms for Segmentation and Classification

Advancing Liver Cancer Diagnosis: Innovative Deep Learning A...

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2024 International Conference on Integration of Emerging Technologies for the Digital World, ICIETDW 2024

作者： Suganthi, B. Vidhya, U. Dhanalakshmi Srinivasan University School of Engineering and Technology Department of Electronics and Communication Engineering Trichy India Dhanalakshmi Srinivasan University School of Engineering and Technology Department of Computer Science and Engineering Trichy India

ISBN: (纸本)9798331541170

Liver cancer is a significant worldwide health issue that requires precise diagnosis techniques and efficient treatment options. This paper presents sophisticated deep learning (DL) algorithms for the segmentation and classification of liver cancers, providing a thorough comparative comparison. The advancements in DL have led to significant progress in other domains. As a result, there is a rising excitement for using DL techniques in liver research to aid clinicians in diagnosing and treating medical conditions. The Improved Fully Convolutional Neural Network (IFCNN) has been introduced in this study as a solution to the problem of liver tumor segmentation in cases of liver cancer. The IFCNN has been mathematically designed to address this issue. Transfer learning improves the ability to apply knowledge gained from one patient group to other patient groups with different characteristics. Comparative studies performed against ResNet and VGG16 demonstrate higher sensitivity, specificity, and overall classification metrics. The algorithms' efficacy and real-time processing capabilities have been extensively validated on multiple datasets, including different kinds and stages of liver cancer. This paves the way for eventual incorporation into clinical processes. These advanced algorithms exhibit superior precision and efficiency compared to current models, offering significant potential for improving clinical practice. They provide more dependable tools for precise diagnosis and informed treatment planning in the fight against liver cancer. © 2024 IEEE.

关键词： Convolutional neural networks

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