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1st International Conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Kumar, Nishit Ranjan, Ravi Singh, Sachin Pal, Purnima Department of Electronics & Communication Engineering Noida Institute of Engineering and Technology Noida India

ISBN: (纸本)9781032874036

Advancements in electromyography (EMG) technology have open the wayfor the development of advanced prosthetic arms aimed at providing enhanced functionality and more natural control for individuals with upper limb amputations. This paper provides an overview of an EMG-based prosthetic arm system designed to improve the interaction between users and their prosthetic limbs. The proposed system relies on surface EMG signals produced from muscles in the user’s remaining limb. These signals are captured by a set of electrodes were placed on the skin surface and processed using machine learning algorithms to interpret the user’s intended movements. Through analysis of EMG signal patterns and amplitudes, the system can accurately identify desired actions such as grasping, releasing, and manipulating objects. Incorporating state of art actuation mechanisms and sensory feedback systems, the EMG-based prosthetic arm aims to deliver a more experienced and knowledgeable user. By employing advanced motor control algorithms, the prosthetic armcan replicate human limb movements and exert appropriate forces." Moreover, sensoryfeedback components such as pressure sensors and tactile interfaces allow users to perceive forces and textures during object manipulation, thereby enhancing dexterity and overall functionality. Extensive user trials involving individuals with upper limb amputations have been conducted to evaluate the effectiveness of the EMG-based prosthetic arm system. The results demonstrate notable enhancements in users’ ability to control the prosthetic arm, carry out daily tasks, and experience a sense of embodiment. © 2025 the Author(s).

关键词： Sensory feedback

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AskMe - A Customer Service Chatbot 3

AskMe - A Customer Service Chatbot

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3rd International Conference on electronics and Renewable Systems, ICEARS 2025

作者： Kashif, M.D. Dsouza, Bryan James Nagesh, K.N. Nagarjuna College of Engineering and Technology Department of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798331509675

This paper introduces a chatbot system specifically designed to assist students transitioning into higher education by providing them with comprehensive and instant access to departmental information. The primary objective is to support students, faculties, and visitors by addressing their queries and concerns about the department. Utilizing advanced Natural Language Processing (NLP) techniques, the chatbot interprets user intents and delivers accurate responses. Developed using BotPress and seamlessly integrated into a WordPress-based platform via the "Header and Footer Scripts"plugin, the system ensures round-the-clock accessibility without human dependency. The chatbot provides insights into faculty, facilities, and academic resources, fostering a more informed and confident onboarding experience for new students. Performance evaluation demonstrates a high degree of accuracy of generating the answers. This work emphasizes the role of AI-driven solutions in enhancing student engagement and improving the efficiency of information dissemination. © 2025 IEEE.

关键词： AI Botpress Chatbot Natural Language Processing (NLP)

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Efficient Fault Detection Methods in Printed Circuit Boards using Machine Learning Techniques 15

Efficient Fault Detection Methods in Printed Circuit Boards ...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Anbumani, V. Padmapriya, S. Rajaraja, R. Vikram, N. Ranjith, S. Abhinav, B.T. Kongu Engineering College Electronics and Communication Engineering Erode Perundurai India Psg Institute of Technology and Applied Research Electronics and Communication Engineering Coimbatore Neelambur India Sona College of Technology Electronics and Communication Engineering Salem India

ISBN: (纸本)9798350370249

Printed circuit boards (PCBs) becoming more complex as technology advances, adding new components and changing their architecture. One of the most crucial quality control procedures is PCB surface inspection since even little flaws in a signal trace may have a significant detrimental effect on the system. It has always been difficult to determine the pass/fail criteria in traditional machine vision systems based on small failure samples, despite the advancements in sensor technology. Suggesting a sophisticated PCB inspection method built on a skip-connected convolutional auto encoder to address these issues suggested to enhance the PCB inspection system by using convolutional autoencoders. The original, fault-free photos and the damaged ones were used to train the deep autoencoder model. The defect location was then located by comparing the decoded images with the input image. Using proper image augmentation to enhance the model training performance in order to get over the tiny and uneven dataset in the early phases of production. Printed circuit boards, or PCBs, are essential parts of electronic gadgets and are very significant to the electronics sector. While ensuring PCB quality and reliability is crucial, manual inspection techniques are often labour and error-intensive. The proposed novel machine learning (ML)-based method for identifying PCB defects demonstrates a significant improvement in detection rates compared to traditional methods, offering a promising solution for the electronics manufacturing industry. © 2024 IEEE.

关键词： Fault detection Image Processing Machine Learning Printed Circuit Boards

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Machine Learning-Assisted Simultaneous Identification and Localization of Impacts on Metallic Structures Using Fiber Bragg Grating-Based Sensor

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IEEE Sensors Journal 2025年第10期25卷 17128-17135页

作者： Vamsi, P.V.M. Kanakambaran, Srijith Indian Institute of Information Technology Design and Manufacturing Kancheepuram Department of Electronics and Communication Engineering Chennai600127 India

Structural health monitoring plays a critical role in assessing the condition and performance of high-cost infrastructure. Impact monitoring is one of the crucial components of structural health monitoring. A fiber Bragg grating (FBG) sensor-based impact monitoring system has been demonstrated in this work, in which an FBG sensor bonded on a metallic plate picks up the vibration signals due to impacts caused by different materials. Time-domain and frequency-domain features extracted from the acquired data were fed to various machine learning models, and an accuracy of 88.25% was obtained using a random forest (RF) classifier for impact-type classification. Further, for simultaneous identification and localization of impacts, wavelet decomposition of the impact signals was performed to extract additional better features. Using all such features, impacts on the metallic plate were identified and localized at quadrant-level granularity with the highest accuracy of 92.25% using the soft voting classifier. © 2001-2012 IEEE.

关键词： Plates (structural components)

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Temporal feature-based approaches for enhancing phoneme boundary detection and masking in speech

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International Journal of Speech technology 2024年第2期27卷 425-436页

作者： Shabber, Shaik Mulla Bansal, Mohan School of Electronics Engineering VIT-AP University Andhra Pradesh Amaravati522237 India Electronics & amp Communication Engineering Indian Institute of Information Technology Sonepat IITD Techno Park Haryana Sonipat131001 India

Automatic phoneme boundary detection is a key problem in speech processing and applications. The accurate phoneme segmentation in continuous speech contributes to the improvement of recognition quality. This study proposes an efficient temporal features-based approach for the automatic detection and masking of phoneme boundaries in speech signals. Changes in speech waveform during a well-spoken word can be used to identify phonemes boundaries. The signal level properties of the speech transitions in the waveform during the transformation from one phoneme to the next are analysed to establish the phoneme boundaries of a speech signal. The short time energy, pitch, zero-crossing rate, and Teager energy operator are used to determine the region of change from unvoiced to voiced and vice versa. The technique proposed in this paper enumerates empirical estimations observed with desired statistical properties for speech signal during phoneme transformation. The results of this study’s demonstrate that precise phoneme boundaries can be obtained by using the proposed method. The proposed method is applied on the TIMIT corpus and achieved the accuracy of 96.04% is accomplished within a tolerance scale of 10 ms. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Speech processing

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Three Possible Dual-Band and Dual-Linearly Polarized Antenna Configurations for WLAN and UHF-RFID Applications Using Metamaterial 3

Three Possible Dual-Band and Dual-Linearly Polarized Antenna...

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3rd International Conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Sakthivel, M. Prabhu, M. Ganesh Jegadeesan, K. Manobala, S. Velammal College of Engineering and Technology Department of Electronics and Communication Engineering Madurai India

ISBN: (纸本)9798331508456

In order to improve WLAN and UHF-RFID system dependability, this study proposes three dual-band, dual-linearly polarized antenna topologies that make use of metamaterial techniques. The core design consists of a square patch emitting broadside at 865 MHz and 2.45 GHz with an outside ring. S3 and S4, two metamaterial superstrates, preserve WLAN performance while switching the lower band to 905 MHz for North American UHF-RFID compatibility. S4 offers a backside beam at 905 MHz, whereas S3 permits a bi-directional pattern. These antennas offer enhanced size, gain, and bandwidth with a small λ0/24.4 profile at 2.45 GHz, which makes them perfect for RFID and WLAN applications. These characteristics make the antennas extremely effective, versatile, and appropriate for WLAN systems and RFID readers, where the WLAN channel acts as a platform for the transmission of data from RFID tags. © 2025 IEEE.

关键词： Wireless local area networks (WLAN)

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Deep Learning in the Detection of Chronic Kidney Disease 4

Deep Learning in the Detection of Chronic Kidney Disease

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4th International Conference on Intelligent Technologies, CONIT 2024

作者： Balamanikandan, A. Saravanakumar, M. Gunasekaran, Sudharsan Anjum, Vasiha Gurusamy, P. Ashokkumar, N. Electronics and Communication Engineering Tirupati India Dr.Mahalinagm College of Engineering and Technology Electrical and Electronics Engineering Pollachi India Sona College of Technology Mechatronics Engineering Salem India Bio-Technology Tirupati India Adhiyamaan College of Engineering Electronics and Communication Engineering Hosur India Electronics and Communication Engineering Tirupati India

ISBN: (纸本)9798350349900

Kidney stones are the main kidney-related issue that has arisen in recent times. Small kidney stones are notoriously difficult to detect, thus this research - known as the Detection of Chronic Kidney Disease Using Deep Learning - helps identify kidney tumors and cysts in addition to stones in the kidney. The primary goal of this effort is to reduce time delays and boost accuracy while using less electricity. Two Deep Learning models derived from Machine Learning are included in the paper. Convolutional Neural Network (CNN) and Mobile Net are the two models. The study was able to examine the accuracy of these two models in addition to the outcomes. © 2024 IEEE.

关键词： Convolutional neural networks

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Investigate the Impact of Path-loss on Channel Capacity in IRS-Assist Dual-hop Wireless communication System 3

Investigate the Impact of Path-loss on Channel Capacity in I...

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

作者： Jana, Moumita Kumar, Sanjay Haldia Institute of Technology Electronics and Communication Engineering Haldia India Birla Institute of Technology Electronics and Communication Engineering Mesra Ranchi India

ISBN: (纸本)9798331528201

Intelligent Reflective Surface (IRS) is an emerging and expanding technology that will develop an intelligent radio environment for next-generation wireless standards. In this paper, we explore our vision to design an IRS-assist wireless communication system for uninterrupted connectivity between transceiver terminals, along with measuring the impact of path loss on the average capacity (bits/sec/Hz) of the system indicates the novelty of the works. Four different schemes such as optimal rate adaption (ORA), side information at the transmitter and the receiver (OPRA), channel inversion with fixed rate (CIFR), and truncated channel inversion with fixed rate (TIFR) have been considered to examine the effect of path loss on the average capacity of the system. This investigation ensure higher order of reflecting elements and quantization level can mitigate the effect of path loss in the system. In addition, numerical simulation results from MATLAB have been provided to validate the analytical results. © 2024 IEEE.

关键词： Radio transceivers

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An Efficient Snapshot-by-Snapshot Imaging Scheme for Multichannel Forward-Looking SAR

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IEEE Sensors Journal 2025年第11期25卷 19909-19920页

作者： Chen, Rui Li, Wenchao Yang, Jianyu Zhang, Kun Cheng, Bowen Li, Zhongyu Wu, Junjie University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China

By simultaneously exploiting platform motion information and the phase differences among different channels, multichannel synthetic aperture radar has the ability to realize forward-looking imaging. However, existing imaging schemes usually require the completion of synthetic apertures for imaging processing and face typical problems of high computational complexity and large storage requirement. To address these challenges, an efficient snapshot-by-snapshot imaging scheme is designed and implemented in this paper. In this scheme, fast Fourier transform (FFT) is adopted to realize fast focusing of each snapshot firstly. Then, range registration of different snapshots is achieved by constructing matched filters considering the range differences, and the space-variant Doppler phase is compensated snapshot-by-snapshot to enable coherent summation of the results of each snapshot. Meanwhile, by using the information provided by the inertial navigation device, the motion error compensation of the platform is embedded into the imaging process. At last, the simulated and measured data experiments are illustrated to verify the effectiveness of the proposed scheme in terms of the computational efficiency and imaging performance. © 2025 IEEE.

关键词： Matched filters

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A NOVEL HIGHLY COMPACT MULTIBAND MILLIMETER WAVE ANTENNA FOR WIRELESS APPLICATIONS

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Telecommunications and Radio engineering (English translation of Elektrosvyaz and Radiotekhnika) 2025年第6期84卷 47-62页

作者： Borundiya, Deepshika Ali, Tanweer Department of Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India

A compact size single-port antenna is proposed to operate at V band and E band. The proposed antenna has two resonating frequencies: 61.9 GHz and 69 GHz. It satisfies the wideband with a bandwidth of 11.8 GHz when observed within the frequency range of 58 GHz to 77 GHz. The design is supported by a full ground plane. The overall dimension of the structure is 5.5 × 5 × 0.254 mm3. This antenna is suitable for 5G mobile, radio navigation, aeronautical system, and medical applications. © 2025 by Begell House, Inc. ***.

关键词： Slot antennas

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