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4th International Conference on electronics and Sustainable communication Systems, ICESC 2023

作者： Karthi, S.P. Kavitha, K. Muralidharan, G. Siva Hari, B. Nithin Pranesh, V. Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore India Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350300093

In general, it can be challenging to identify and investigate errors in filter circuits. Day by day the challenges in detecting the faults in the circuits has become complex and it is a time-consuming process;Due to these faults, the wrong outputs have been obtained, which can affect the desired output. Hence, as a solution, it is suggested a technique for identifying faults in analog filters. With this approach, it spots circuit issues by taking into account elements like phase margin. For the circuit that is being tested, several defective situations are simulated. Using this information as a foundation, a fault dictionary is created, and the FUZZY INFERENCE SYSTEM is utilized to assign fault index values and categorize the defects. © 2023 IEEE.

关键词： Soft computing

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Integrated Ensemble Framework for Real-Time Building Stability Monitoring using Accelerometers and Strain Gauges 8

Integrated Ensemble Framework for Real-Time Building Stabili...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Nithila, Ezhil E. Sundararajan, S. Haribabu, K. Krishnan, R. Santhana Raj, J. Relin Francis Sankar, G. Ram Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai Avadi India Scad College of Engineering and Technology Department of Mechanical Engineering Cheranmahadevi India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9798350376425

Structural health monitoring is critical for ensuring the safety and integrity of buildings, especially in seismic zones or environments subject to high loads. This paper presents the "StrucSense Ensembler,"an advanced ensemble learning model designed to monitor building stability by integrating time-series data from BMA280 accelerometers and spatial data from strain gauges. The StrucSense Ensembler combines the strengths of Long Short-Term Memory (LSTM) networks for analyzing temporal accelerometer data and Convolutional Neural Networks (CNNs) for interpreting spatial strain data. By leveraging this hybrid approach, the Model delivers accurate predictions of structural stability, enabling proactive decision-making. The ensemble is evaluated using various metrics, including accuracy, precision, recall, and F1 score, and is demonstrated to outperform traditional models like Random Forest, Gradient Boosting Machines, and AdaBoost. The proposed StrucSense Ensembler effectively identifies potential risks such as deformation, cracks, and load imbalances, offering actionable insights for timely intervention and maintenance. This innovative approach provides a robust framework for real-time structural monitoring, significantly enhancing the safety and reliability of buildings. © 2024 IEEE.

关键词： Convolutional neural networks

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A Detailed Analysis of Wavelet based Multi-Focus Image Fusion Techniques 5

A Detailed Analysis of Wavelet based Multi-Focus Image Fusio...

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5th International Conference on Smart electronics and communication, ICOSEC 2024

作者： Mohamed Ali, E.A. Vinoth, M. Kalpanadevi, G. Subbulakshmi, M. Dharani, R. Jp College of Engineering Department of Electronics & Communication Engineering Tenkasi India K. Ramakrishnan College of Engineering Department of Electronics & Communication Engineering India Bannari Amman Institute of Technology Department of Artificial Intelligence & Data Science India J.J. College of Engineering and Technology Department of Electronics & Communication Engineering India

ISBN: (纸本)9798331504403

Image fusion combines multiple images of a single scene or object, captured by various sensors or from different angles, to create an enhanced composite image with greater informational content. This process has applications across diverse fields, including remote sensing, medical diagnostics, security systems, robotics, augmented reality, and stereovision. Its primary objectives include improving visual details, overall image quality, and offering novel perspectives. Among the various fusion methods, wavelet-based techniques have gained popularity due to their ability to preserve crucial details, minimize noise, and enhance visual quality. This study aims to compare the efficacy of eight distinct wavelet-based multi-focus image fusion approaches. To assess the spectral and spatial characteristics of the resulting fused images, the research employs eight performance metrics, providing a comprehensive analysis of these techniques. The findings of this comparative study are important for deciding which method is the simplest, most effective, and fastest to produce high-quality merged images. This will enable it to be used with a variety of imaging modalities, especially those that have limited hardware resources or produce images with a high level of quality. © 2024 IEEE.

关键词： Medical robotics

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Design and Simulation of Piezoelectric Resonator for Sensor Application

Design and Simulation of Piezoelectric Resonator for Sensor ...

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2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024

作者： Hanumanaik, L. Girish, N. Kariyappa Panchami, J. Vinaykumar, R. Nitte Meenakshi Institute of Technology Dept. of Electronics and Communication Engineering Bangalore India Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bangalore India

ISBN: (数字)9798350360660

ISBN: (纸本)9798350360660

This research focuses on the design and simulation of piezoelectric resonator based on aluminum nitride (AlN) material intended for sensor application. The core component of this resonator is constructed using AlN material. This paper meticulously outlines the design parameters of the aluminum nitride piezoelectric resonator, encompassing material properties, size and shape, which were systematically optimized through finite element simulation software. The structural design was optimised, and a simulation was conducted using COMSOL Multiphysics tool to assess the resulting performance for the pressure sensor application. Using FEM modelling, the parameters like resonant frequency, admittance (Y11) and the reflection coefficient (S11) were studied. The resonant frequency achieved for the designed resonator is determined to be 2.188 GHz. The admittance (Y11) and the reflection coefficient (S11) is 143.3 dB and 34.62 dB respectively. As a part of the work, the comparative analysis of the resonator performance parameters with different materials like Zinc Sulfide (ZnS), Cadmium Sulfide (CdS), and zinc oxide (ZnO) were assigned as piezoelectric material and compared the results with AlN based resonator. However, it was found that AlN based resonator results are more effective than others. This comprehensive investigation provides crucial insights into the optimization of piezoelectric resonators tailored for pressure sensor applications. The results of this research also possess the capacity to substantially improve the precision and sensitivity of future pressure sensors. This discoveries offers a substantial contribution to the advancement of pressure sensing as a discipline, offering prospects for the creation of pressure sensors with exceptional performance. Predictably, this study will establish a fundamental basis for subsequent investigations in this field. © 2024 IEEE.

关键词： Aluminum nitride

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Deep Learning Models for Understanding Audience Sentiments in Movie Tweets 5

Deep Learning Models for Understanding Audience Sentiments i...

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5th International Conference on electronics and Sustainable communication Systems, ICESC 2024

作者： Prasath, S. Ram Jeevitha, J.K. Margret, S. Krishnan, R. Santhana Raj, J. Relin Francis Nithila, Ezhil E Scad College of Engineering and Technology Department of Computer Science and Engineering Cheranmahadevi India Psna College of Engineering and Technology Department of Information Technology Dindigul India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India Vel Tech Rangarajan Dr Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai Avadi India

ISBN: (纸本)9798350379945

This study explores the application of deep learning models for analyzing audience sentiments in movie tweets, aiming to provide a comprehensive understanding of audience reception. Leveraging Twitter data collected using Tweepy and supplemented with web-scraped content via BeautifulSoup, the study employs advanced Natural Language Processing (NLP) techniques. Text preprocessing using SpaCy ensures standardized input for subsequent analysis. Sentiment analysis utilizes RoBERTa, an advanced deep learning transformer model known for its robust performance in NLP tasks. RoBERTa effectively classifies tweets into positive, negative, or neutral sentiments, leveraging its contextual understanding to interpret nuanced language expressions prevalent in social media discourse. Simultaneously, RoBERTa is employed for emotion detection, identifying emotional states such as joy, anger, sadness, and more, crucial for gauging audience emotional responses to various aspects of movies. This dual-analysis framework provides detailed insights into audience reactions, facilitating a nuanced evaluation of movie reception across diverse demographic segments. Additionally, the study explores aspect-based sentiment analysis to delve deeper into specific movie attributes like plot, acting, and special effects. Visualizations using Plotly enhance the interpretability of sentiment and emotion distributions over time, supporting informed decision-making in the entertainment industry. © 2024 IEEE.

关键词： Tweets

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An indoor IoT-based LiFi system using LEDs for sensor data transfer

AIMS Electronics and Electrical Engineering

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AIMS electronics and Electrical engineering 2025年第2期9卷 118-138页

作者： Eltokhy, Mostafa A.R. Abdel-Hady, Mohamed Haggag, Ayman Hamad, Hisham A. Hosny, Tarek Youssef, Ahmed A.F. El-Rifaie, Ali M. Electronics Technology Department Faculty of Technology and Education Helwan University Cairo Egypt Communication Engineering Dept Al-Safwa High Institute of Engineering High Ministry of Education Cairo Egypt College of Engineering and Technology American University of the Middle East Egaila54200 Kuwait

The Internet of Things (IoT) has an ever more significant function in many areas of our modern world. It improves the overall quality of life, where almost everything, including objects and devices, can be linked to the cloud and thus be hyper-connected. Within this changing IoT system, this paper focuses on data transfer, emphasizing the critical role of light fidelity (LiFi) technology. LiFi technology is an up-and-coming technology that makes use of light-emitting diodes (LEDs) and photodetectors (PDs) as transmitters and receivers (RX), respectively, for concurrent data communications and lighting. This paper proposes a single-input multiple-output IoT-based LiFi system using an LED array, phototransistor, and ambient light sensor-based RXS for simultaneous data transmission. DHT11 sensor is used to measure the environmental conditions and store collected data via Wi-Fi in the cloud server using HTTP protocol. Through indoor LiFi communication, the cloud streaming data is transferred using pulse position modulation (PPM) at a frequency of 2 KHz. The experimental results illustrate transferring and receiving data successfully at a communication distance of 1 meter. MATLAB software is used to evaluate the performance of the spatial radiance pattern and illuminance intensity of an LED Array used and received power depending on a line-of-sight (LOS) channel. © 2025 the Author(s).

关键词： MATLAB

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Resource allocation for wireless networks based on enhanced Harris hawks optimisation algorithm

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International Journal of Security and Networks 2024年第4期19卷 178-187页

作者： Meng, Xianmeng Cai, Cuicui Tan, Linglong Wang, Qijian School of Electronics Engineering Anhui Xinhua University Hefei230088 China School of Computer Science and Information Engineering Hefei University of Technology Hefei230601 China School of Electronics and Information Engineering West Anhui University Lu’an237012 China

Efficient resource allocation is critical to improve the quality of service in wireless networks. The problem of resource allocation is usually non-convex and non-deterministic polynomial-hard. Meta-heuristic algorithms are widely used to solve non-convex optimisation problems due to their efficient execution and high iteration accuracy. The Harris hawk optimisation (HHO) algorithm has recently received attention as an effective approach for addressing various optimisation problems. However, the HHO algorithm is employed for resource allocation issues in WNs and suffers from early convergence and local optimal problems. To overcome these issues, we develop a novel enhanced HHO (EHHO) algorithm with low computational complexity and explore the performance of the EHHO in resource allocation. Firstly, we introduce the power allocation for secrecy rate maximisation and spectrum efficiency trade-off in wireless networks. Then, the fundamental of the basic HHO algorithm is described, and the EHHO algorithm is proposed with nonlinear control update and local search strategies. Finally, we demonstrate the remarkable capabilities of the EHHO in terms of the benchmark functions and resource allocation in wireless networks. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： energy efficiency enhanced Harris hawks optimisation algorithm meta-heuristic optimisation resource allocation secrecy rate spectral efficiency

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Power Efficient Approximate Multiplier for Neural Network Applications 27th

Power Efficient Approximate Multiplier for Neural Network A...

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27th International Symposium on VLSI Design and Test, VDAT 2023

作者： Anil Kumar, Uppugunduru Arva, Venkat Sai Kottur, Chamundeswari Boppidi, Abhishek Reddy Syed, Abudhagir Umar Veeramachaneni, Sreehari Ahmed, Syed Ershad Department of Electronics and Communication Engineering Faculty of Science and Technology ICFAI Foundation for Higher Education Hyderabad India Department of Electronics and Communication Engineering B V Raju Institute of Technology Telangana Narsapur India Department of Electronics and Communication Gokaraju Rangaraju Institute of Engineering Technology Hyderabad India Department of Electrical and Electronics Engineering BITS Pilani Hyderabad Campus Hyderabad India

ISBN: (纸本)9789819737550

This paper presents a new architecture for an approximate unsigned multiplier, aiming to minimize both area utilization and power consumption while maintaining high accuracy. The architecture is divided into three regions: the least significant region (LSR), the approximate region, and the accurate region (most significant region). To improve hardware savings, the least-contributing to the final result, the LSR, is replaced with zeros. On the other hand, the approximate region utilizes two new approximate compressors, which are highly efficient 4:2 compressors introducing ‘+1’ and ‘−1’ errors. These compressors are carefully designed to offset each other’s error, thereby mitigating the overall error introduced by the approximation. Experimental results for 8-bit multipliers demonstrate that the proposed designs outperform the existing design in terms of power, achieving improvement of 15%. Furthermore, the proposed designs are evaluated using image processing and neural network applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Compressors

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Impact of AlGaN Barrier Composition on Enhancement-Mode GaN HEMTs on Ultra-Wide Band Substrate for RF Applications 1

Impact of AlGaN Barrier Composition on Enhancement-Mode GaN ...

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1st International Conference on Innovations in communications, Electrical and Computer engineering, ICICEC 2024

作者： Natarajan, Ramkumar Chinnaswamy, Sivamani Murugapandiyan, P. Vigneshwari, N. Nirmala Devi, K. Krishna, B. Vamsy Sr University Department of Electronics and Communication Engineering Warangal India KIT-Kalaignar Karunanidhi Institute of Technology Department of Biomedical Engineering Coimbatore India Anil Neerukonda Institute of Technology and Sciences Department of Electronics and Communication Engineering Visakhapatnam India Sri Krishna College of Engineering and Technology Department of Electronics and Communication Engineering Coimbatore India Saveetha Engineering College Department of Electronics and Communication Engineering Chennai India Seshadri Rao Gudlavalleru Engineering College Andhra Pradesh India

ISBN: (纸本)9798350376517

This paper investigates the influence of AlGaN barrier composition on the performance of enhancement-mode GaN high electron mobility transistors (HEMTs) on β-Ga2O3 substrates. Specifically, metal-insulator-semiconductor high electron mobility transistors (MISHEMTs) are analyzed, utilizing Al2O3 and HfO2 as dielectric materials. We examine how variations in the aluminium content of the AlGaN barrier layer affect the electrical characteristics and RF performance of the devices. The use of ultra-wide bandgap β-Ga2O3 substrates, known for their high breakdown voltage and superior thermal stability, is explored to enhance device performance for RF applications. The proposed device with High-k dielectric (HfO2) reports the highest drain current of 4.80 A/mm and gm of 1.125 S/*** device with Al2O3 dielectric reports the cut-off frequency of 40.2 GHz. These promising results pave the way for the next generation of RF electronics. © 2024 IEEE.

关键词： Gallium nitride

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Design and Analysis of Sixth-Generation (6G) Microstrip Patch Antenna

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SN Computer Science 2023年第2期4卷 153页

作者： Jayanth, J. Mahadevaswamy, Manasa Shreehansa, R. Gururaj, K.S. Ravikiran, H.K. Department of Electronics and Communication Engineering GSSS Institute of Engineering and Technology for Women Karnataka Mysore India Department of Electronics and Communication Engineering Navkis College of Engineering Karnataka Hassan India

The design of microstrip antennas for a 6G application is the main emphasis of this work. In the area of mobile communication, the rate of scientific and technological advancement has never slowed. To handle the enormous quantity of data traffic brought on by the increase in wirelessly linked devices, 6G was created. In addition, it provides customers with massive capacity, low latency, high bit rates, a variety of brand-new services, and vertical applications. Due to this, the new THz band frequency range is in focus. This study focuses on designing an antenna that operates at 250 GHz, where ground plane and patch antenna is used which is made of copper material and substrate is made of polyimide film which has ε = 3.4 where the antenna's performance was examined and improvements were made. The simulation results show that the proposed single-element 6G antenna has a greater gain of 6.41 dBi and a larger bandwidth of 8.25 GHz between 246.50 GHz and 254.75 GHz at − 10 dB level. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： 6G Gain HFSS Microstrip patch antenna

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