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

作者： Dankan Gowda, V. Pathak, Disha Prasad, K.D.V. Srinivas, Ved Manu, Y.M. Reddy, N. Sudhakar Bms Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India Symbiosis Centre for Management Studies-Hyderabad Mulshi Pune Maharashtra Lavale412115 India Symbiosis Institute of Business Management Hyderabad Pune India Thiagarajar School of Management Department of Human Resources Tamil Nadu Madurai India Adichunchanagiri University Bgs Institute of Technology Department of Computer Science and Engineering Nagamangala Taluk B.G.Nagara Karnataka Mandya District India Mohan Babu University School of Engineering Department of Ece Tirupati India

ISBN: (纸本)9798350376425

The machine learning algorithm proposed in this paper is suitable for Big Data multimodal datasets and in particular for integrating image and speech data. Preliminary feature extraction is based on convolutional neural network (CNN) for image analysis and recurrent neural network (RNN) for speech processing, while the fusion was done in a fusion layer. For assessment, the system's performance is compared on the aspect of accuracy and latency, computational overhead, and resource consumption. The above experiment results prove that the proposed framework reduces the latency to 120ms and the required computational power, but the training and validation set accuracies as high as 90% and 87% are higher than the corresponding values of basic models such as CNN and hybrids of CNN+LSTM. It also illustrates the system's scalability: inference time of less than 2s in the range of moderate batch size, and lower memory consumption (110 MB) in comparison with the baseline models. The characteristics of the model mean that it takes less resources to process data, making the model ideal for use in applications where there is a need for processing of data in real time. © 2024 IEEE.

关键词： Convolutional neural networks

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A Detailed Review on Challenges in the Computational Frameworks in Building 6G for Healthcare System

A Detailed Review on Challenges in the Computational Framewo...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： M Shalini Rupesh Sharma M. Bhuvaneswari Arti Badhoutiya M Madan Mohan S P V Subba Rao Department of Electronics and Communication Engineering (ECE) Prince Shri Venkateshwara Padmavathy Engineering College TN Department of Electronics & Communication Engineering (ECE) IES Institute of Technology and Management IES University Bhopal M.P India Department of Biomedical Engineering (BME) Karpagam Academy of Higher Education Coimbatore Department of Electrical Engineering (EE) GLA University Mathura Department of Computer science and Engineering (C S & E) Nehru Institute of Engineering and Technology T.M.Palayam Tamil Nadu India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and Technology Hyderabad

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

In the modern age of Sixth-generation (6G) connections, the merging of the Intellect Internet of Issues (IIoT) plays a crucial part in improving storage and processing of data powers. The core goal of 6 G is to provide extremely small delay, high speed, and improved quality of service so as to enable smooth contact among network points. Within the medical industry, it is important to fit all facilities at state-ofthe-art technology to allow clever diagnoses, patient-centric therapies, and a range of healthcare services, outside the confines of a medical facility and online. To ensure the health care sector’s readiness and flexibility to cutting-edge technology, giving varied uses from robotic treatments to remote patient tracking via portable technologies in Active Adaptive Living (AAL) environments is important. The intelligent connecting platform serves as the backbone, managing various networking hubs and input devices to offer time-sensitive healthcare services. This paper presents a new reference layered communication system designed for realtime conversation among nodes and devices. By studying the future aspects of the 6 G system, the paper shows its potential uses in healthcare, hoping to improve treatment effectiveness and smartly combine services. The suggested structure attempts to build a strong basis for the changing world of healthcare apps in the framework of 6 G technology.

关键词： 6G mobile communication Industries Technological innovation Wireless networks Merging Virtual environments Medical services

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A miniaturized UWB monopole antenna for sub-6 GHz 5G wireless applications

A miniaturized UWB monopole antenna for sub-6 GHz 5G wireles...

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2023 IEEE Silchar Subsection Conference, SILCON 2023

作者： Panja, Aparna De, Arnab Bhattacharjee, Koyndrik Maity, Somnath Bhattacharya, Ankan Roy, Bappadittya Sarkar, Partha Pratim Bhattacharjee, Anup Kumar National Institute of Technology Deparment of Ece West Bengal Durgapur713209 India Vadlamudi Dept. of Advanced Computer Science and Engineering Vignan's Foundation for Science A.P Guntur India Dr. B C Roy Engineering College Department of Civil Engineering West Bengal Durgapur713206 India Government Women's Polytechnic Deparment of Ece Jharkhand Jamshedpur832108 India Hooghly Engineering & Technology College Dept. of Electronics and Communications Engineering West Bengal Hooghly India VIT-AP University School of Electronics Engneering Amaravati India University of Kalyani Deparment of Engineering and Technological Studeies Kalyani India

ISBN: (纸本)9798350314144

This article describes a miniaturized, ultra-wideband monopole antenna with dimensions of 23.00 x 20.00 x 1.60 mm3 (0.23λ0 x 0.23λ0 x 0.016λ0) designed for sub-6 GHz 5G wireless applications. The suggested layout is compatible with sub-6 GHz 5G, including satellite X-band (7.5-8.5 GHz), ITU n77 (3.3-4.2 GHz), and n79 (4.4-5 GHz) bands, 502.11a WLAN (5.15 - 5.85 GHz), and WiMAX bands (3.5/5.5 GHz). The suggested structure uses a fusion shape of rectangular, triangular, and trapezoidal slits on the ground plane and isosceles triangle, octagonal slot on the metal patch to improve the radiation characteristics and impedance bandwidth. The addition of rectangular slits which are incorporated into the bottom plane just below the microstrip line and trapezoidal-shaped slots shifts the lower cut-off frequency towards the left, while the octagon-shaped slot and the isosceles triangular slit on the radiating patch shift the higher cut-off frequency towards the right. The suggested structure operates over the range from 3.10 to 18.87GHz, having an equivalent fractional bandwidth of 143.56% and a peak gain of around 5.37 dBi. The antenna has a radiation efficiency of 80.00% and displays a decent S11 ≤-10 dB throughout the bandwidth. Results from measurement and simulation are good in agreement. © 2023 IEEE.

关键词： Monopole antennas

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An Improved Bat Optimization Algorithm for Knowledge Discovery for Routing and Energy Efficiency in the Internet of Things Environment

An Improved Bat Optimization Algorithm for Knowledge Discove...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： Ramachandran R L. Kannagi Maria Rubiston. M Govindaraj Karthikeyan R. Ratheesh Abijith G R Department of Biomedical Engineering Rajalakshmi Engineering College Chennai Department of Computer and Communication Engineering Sri Sairam Institute of Technology West Tambaram Chennai Department of ECE S.A. Engineering College Chennai Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Department of Electronics and Communication Engineering Agni College of Technology Chennai Department of Information Technology St. Joseph's Institute of Technology OMR Chennai

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

An improved optimization algorithm, IBA, enhances routing and energy efficiency in IoT environments. As energy conservation becomes increasingly vital in our technological landscape, managing resource consumption is crucial for sustainability. The Internet of Things (IoT) has revolutionized connectivity, enabling diverse applications across various sectors, from smart homes to industrial systems. The impending 5G technology promises to accelerate this transformation further, offering unprecedented speed and coverage. However, with the exponential growth in mobile data transmission, network operators face the challenge of meeting escalating demands. Bio-inspired optimization techniques, like the Bat Algorithm (BA), have emerged as promising solutions due to their computational efficiency and applicability to IoT challenges. The proposed IBA builds upon BA principles, introducing novel enhancements to address specific limitations. Through methodical testing, IBA shows better results in packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead than current protocols. These findings highlight the capability of optimized algorithms to improve IoT system performance and address changing application needs.

关键词： Technological innovation Protocols System performance Routing Throughput Knowledge discovery Energy efficiency Delays Internet of Things Testing

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Near-Far Field Three-Stage Beam Training for RIS-Assisted Wideband OFDM Communications

Near-Far Field Three-Stage Beam Training for RIS-Assisted Wi...

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IEEE Conference on Wireless Communications and Networking

作者： Zhichao Cheng Shupei Zhang Shu Fu Boya Di School of Electronics Engineering and Computer Science Peking University Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China Department of Microelectronics and Communication Engineering Chongqing University Chongqing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Large-scale reconfigurable intelligent surfaces (RISs) have emerged as a promising technology for signal strength enhancement and coverage extension in 6G networks. However, as the antenna scale and the bandwidth increase, large-scale RIS-assisted wideband orthogonal frequency division multiplexing (OFDM) communication systems face new challenges due to the near-field range expansion and the beam split effect, complicating the acquisition of channel state information (CSI). To tackle these challenges, in this paper, we present a wideband beam training scheme by utilizing the beam split effect to bypass the CSI acquisition. Specifically, by analyzing the beam split effect in RIS-assisted OFDM communication systems, we propose a beam-split-aware codebook capable of covering both the near and far fields. The coverage of codewords in the proposed codebook is expanded benefiting from the beam split effect, leading to fewer codewords compared to conventional narrow-band codebooks. Utilizing such a codebook, a three-stage beam training mechanism is performed to obtain the optimal codeword with low time overhead, thereby facilitating the beamforming. Simulation results demonstrate that the proposed scheme outperforms existing codebook-based beam training schemes in terms of training overhead and sum rate in the hybrid near-far field.

关键词： Training Upper bound Array signal processing OFDM Simulation Reconfigurable intelligent surfaces Broadband antennas Wideband Faces Channel state information

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Deep Learning Techniques for Fault Detection in Industrial Machinery

Deep Learning Techniques for Fault Detection in Industrial M...

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Recent Trends in computer Science and Technology (ICRTCST), International Conference on

作者： Bhawani Sankar Panigrahi Thiyagarajan T M. Tamilselvi S. B G Tilak Babu Pavithra G Bazani Shaik Department of IT Vardhaman College of Engineering Hyderabad Telangana Department of Computer Applications Nehru Institute of Information Technology and Management Coimbatore Tamilnadu Computer Science And Engineering Roever Engineering College Perambalur Tamilnadu Department of ECE Aditya Engineering College Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore Karnataka Department of Mechanical Engineering Ramachandra College of Engineering Eluru Andhra Pradesh India

ISBN: (数字)9798350351378

ISBN: (纸本)9798350351385

The use of deep learning techniques for the purpose of improving fault detection in industrial machinery. It is of the utmost importance to have defect detection mechanisms that are both reliable and effective, since the complexity of industrial processes continues to increase. In this paper, the implementation of deep learning algorithms is investigated. These algorithms make use of neural networks to understand complex patterns and anomalies that are present in data coming from machinery. There are many different models that are being researched to see whether or not they are effective in detecting defects at early stages, limiting downtime, and eliminating costly interruptions. These models include convolutional neural networks (CNNs) and recurrent neural networks (RNNs). For the purpose of this , the performance of various methodologies is evaluated over a wide range of industrial situations, taking into consideration issues such as the variability of sensor data and noise. The findings demonstrate the promise of deep learning as a significant tool for enhancing defect detection skills, thereby paving the way for industrial equipment systems that are more reliable and resilient.

关键词： Deep learning Recurrent neural networks Limiting Fault detection Noise Market research Reliability

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Noise multiplication and bandwidth of photodetectors employed with Taylor dispersion in micro optical fiber channel system

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Journal of Optical Communications 2024年第0期45卷 s1383-s1398页

作者： Nagendram, Sanam Babu, Gade Harish Ahammad, Shaik Hasane Kiran, Kasi Uday Anwer, Twana Mohammed Kak Hossain, Md. Amzad Rashed, Ahmed Nabih Zaki Amin, Marwa Hamed Department of Artificial Intelligence KKR & KSR Institute of Technology and Sciences Guntur India Department of ECE CVR College of Engineering Hyderabad India Department of ECE Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522302 India Department of ECE Koneru Lakshmaiah Education Foundation Guntur522502 India Department of Physics College of Education Salahaddin University-Erbil Kurdistan Region Erbil44002 Iraq Institute of Theoretical Electrical Engineering Faculty of Electrical Engineering and Information Technology Ruhr University Bochum Bochum44801 Germany Department of Electrical and Electronic Engineering Jashore University of Science and Technology Jashore7408 Bangladesh Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt Department of VLSI Microelectronics Institute of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamilnadu Chennai602105 India

This work has clarified the noise multiplication and bandwidth of photodetectors employed with Taylor dispersion in micro optical fiber channel system. The simulation performance evaluation of slide and squeeze film damping and fluidics mechanics. The damping ratio versus gap distance for a cantilever beam and a mass suspended from beams are determined. The damping ratio with gap size for a suspended mass with and without holes is reported. The damping ratio variations with the gap distance variations for a mass suspended from beams is clarified. The velocity field for fluid flow in a circular channel, a square channel, a rectangular channel, a parabolic channel and a triangular channel is estimated. Besides the velocity field for the fluid flow in a channel with and without slip is outlined. The spreading of a diffusion front in one dimension in a resting fluid and the dispersion coefficient in a square channel [Taylor dispersion in micro fluidic channels] are clarified. The 2D diffusion profile of a solute in a T mixer and normalized concentration versus the channel width for the solute at the outlet of H filter are determined. © 2023 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Photodetectors

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Smart Design and Implementation of Self Adjusting Robot using Arduino

Smart Design and Implementation of Self Adjusting Robot usin...

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2022 International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022

作者： Vidhya, R.G. Singh, Kamlesh Paul, P John Sai Srinivas, T. Aditya Prasad Patra, Jyoti Sagar, K.V.Daya HKBK College of Engineering Department of Electronics and Communication Engineering Bangalore India Graphic EraHill University Department of Computer Science Engineering Dehradun Campus Dehradun India Ellenki College of Engineering and Technology Department of Computer Science and Engineering Hyderabad India G Pulla Reddy College of Engineering Department of Computer Science and Engineering Andhra Pradesh Kurnool India Odisha University of Technology and Research Faculty of Electrical OUTR Mahalaxmi ViharGhatikia Techno campus Odisha Bhubaneswar India Koneru Lakshmaiah Education Foundation Department of ECE Guntur Andhrapradesh Vaddeswaram India

ISBN: (纸本)9781665489621

Self-adjusting robots are an excellent approach for keeping up with breakthroughs and developments in advanced mechanics. This idea is based on the basic pendulum theory. A framework goes through a cycle of self-adjustment to reinforce itself from inside. This study intends to overcome the difficulties of stabilizing an unstable structure by supplying the robot with the essential components for self-adjustment and balance. Data from the accelerometer and gyrator are used to compute the robot's accurate three-dimensional location, which is then relayed to a controller. The regulator then uses its own code to legally direct the wheel rotation of the drive module, boosting the robot's stability. This robot has an advantage over others with four wheels since it can spin faster and around obstacles more readily. As a result, it is a necessary tool in many current scenarios. © 2022 IEEE.

关键词： Accelerometers

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Improving Data Encoding for Enhanced AI Performance in Complex Datasets via Quantum Feature Space Mapping: Harnessing Quantum Algorithms

Improving Data Encoding for Enhanced AI Performance in Compl...

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Pervasive Computational Technologies (ICPCT), International Conference on

作者： Gurpreet Singh Walia Sathiya Priya S KV Karthikeya D. Suresh P Sudheer V. Syambabu Lead Enterprise Security and Networking Architect NetApp Inc. Durham NC Department of ECE Panimalar Engineering College Chennai AT&T Sattva Knowledge City Hyderabad Department of ECE St. Joseph's Institute of Technology Chennai Department of Computer Science and Engineering (AI&ML) CVR College of Engineering Department of Electronics and Communication Engineering MLR Institute of Technology Hyderabad

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The purpose of this study is to investigate the potential for quantum feature space mapping to be utilized in the enhancement of data encoding approaches for artificial intelligence (AI) systems that are capable of managing complicated datasets. Traditional artificial intelligence models frequently face challenges when confronted with the high-dimensionality and non-linearity of such datasets. This can hinder their performance in areas such as pattern recognition, optimization, and predictive modeling. Quantum computing, which is able to make use of quantum superposition and entanglement, provides a method that is revolutionary in nature by means of quantum feature space mapping. By encoding data into quantum states, this technology enables the construction of feature spaces that are tenfold bigger than those that would be possible in classical conditions. This makes it much simpler to differentiate between intricate patterns that would otherwise be indistinguishable. The purpose of this research is to investigate the application of quantum algorithms, such as Quantum Support Vector Machines (QSVM) and Variational Quantum Classifiers (VQC), with the intention of enhancing the capacity of artificial intelligence to learn from complex and high-dimensional data. We demonstrate that quantum feature space mapping leads to more efficient and accurate data classification, regression, and clustering tasks by comparing the performance of quantum-enhanced artificial intelligence models to that of their classical counterparts on difficult datasets. Additionally, the research addresses important difficulties, such as the constraints of the quantum hardware that is now available and the requirement for quantum circuits that are scalable. Quantum computing has the potential to improve the performance of artificial intelligence in the management of complicated, high-dimensional data, which may ultimately pave the way for advances in domains such as genetics, finance, and cryptogra

关键词： Support vector machines Quantum computing Quantum algorithm Quantum entanglement Computational modeling Space mapping Quantum state Encoding Hardware Quantum circuit

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Liner multimode fibers with high distributed optical amplification system based high efficient quadrature modulation system for reliable high capacity local area network

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Journal of Optical Communications 2024年第s1期45卷 s2815-s2823页

作者： Thandaiah Prabu, Ramachandran Mandhala, Venkata Naresh Ramya, Mohanraj Mallan, Srinivasan Shibu, Soman Arumugam, Parimala Hemadan, Ayman Zain Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamilnadu Chennai India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram Guntur India Department of ECE S.A. Engineering College Tamilnadu Chennai India Department of EEE Bannari Amman Institute of Technology Tamilnadu Sathyamamgalam Erode India Department of Electronics and Communication Engineering Panimalar Engineering College Tamilnadu Chennai India Department of ECE Sree Sastha Institute of Engineering and Technology Tamilnadu Chennai India Ismailia Institute of Technology Ismailia Egypt

This paper clarified the liner multimode fibers with high optical amplification system based high efficient quadrature modulation system for high capacity local area optical networks. The clarified the lighted QPSK transmitter system based linear multimode fiber profile is clarified under modal bandwidth effects. The optimum power variations are studied with spectral base band wavelength variations for various modal bandwidths based linear multimode fiber. Optimum power is clarified with time variations for various modal bandwidths based linear multimode fiber. Total power for 1500 and 1700 MHz km modal bandwidth is demonstrated based linear multimode fiber. The Max-Min signal base band amplitude based QAM pulse generator is clarified after photo-detector by using electrical constellation visualizer. The optimum Q Factor form with Min BER is demonstrated after photo-detector for 1300, 1500, and 1700 MHz km modal bandwidth based linear multimode fiber. The base band lighted SNR is clarified and simulated with the modal bandwidth variations based linear multimode fiber. Optimum Q form factor through photo-detector is demonstrated with the modal bandwidth variations based linear multimode fiber. The electrical SNR through photo-detector is studied and simulated with the modal bandwidth variations based linear multimode fiber. © 2024 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Light sources

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