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3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024

作者： Sivasankari, N. Rathika, P. Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tirunelveli India Psn College of Engineering and Technology Department of Electronics and Communication Engineering Tirunelveli India

ISBN: (纸本)9798350361186

In the realm of building automation systems, efficient energy consumption modeling stands as a crucial element for sustainable and intelligent environments. This paper presents a predictive modeling approach utilizing deep learning networks like Long Short-Term Memory (LSTM) neural networks, alongside comparisons with Gated Recurrent Unit (GRU) and Bidirectional LSTM (Bi-LSTM) architectures, for predicting energy utilization within buildings. The study employs a smart home dataset from the UMASS Repository, demonstrating the model's effectiveness in capturing temporal dependencies and delivering accurate predictions. The methodology encompasses comprehensive data preprocessing, model training, and evaluation using key performance metrics. Significantly, the obtained results showcase the superior performance of the LSTM model over GRU and Bi-LSTM, with a Mean Absolute Error (MAE) of 0.2662, Root Mean Squared Error (RMSE) of 0.4067, and Mean Squared Error (MSE) of 0.1654. These metrics underscore the model's capability to provide reliable and accurate predictions, thereby contributing to optimizing energy management within building automation systems. The demonstrated success of the predictive model highlights its potential significance in advancing sustainable practices, promoting resource efficiency, and facilitating intelligent decision-making within the realm of intelligent buildings. © 2024 IEEE.

关键词： Long short-term memory

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Low power based ternary half adder using fin type field effect transistor technology

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Materials Today: Proceedings 2023年 79卷 355-361页

作者： Kumar, Sandeep Kumar Dubey, Anil Gupta, Vivek Kumar Ojha, Mukesh Department Of Electronics and Communication Engineering Greater Noida Institute of Technology Greater Noida India

In this paper, we examine a ternary half adder that is low in power and leakage and is based on (FinFET) Fin type field effect transistor technology. The CNTFET technology, as well as various circuits and implantation procedures for the CNTFET technology, will be discussed in this chapter. It is shown in this paper that ternary adders using FinFET (Fin type field effect transistor) and ternary adders without FinFET (Fin type field effect transistor) are comparable in terms of latency, peak power distribution, and leakage power of the ternary adder. In this paper, we study several encoders and decoders that make use of FinFET (Fin type field effect transistor) to achieve their desired results. After that, we must get the right result, which is performed by computing the sum and carry of the decoder and encoder circuits. As a result of the evolution of this kind of technology, all electronic devices have become smarter and more trustworthy in terms of their functionality. Improvements in Average Power, Energy, and Power Dissipation may be shown in this experiment. © 2022

关键词： Adders

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Characterization of AlInN/GaN based HEMT for Radio Frequency Applications

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Micro and Nanosystems 2023年第1期15卷 55-64页

作者： Prasad, Santashraya Islam, Aminul Department of Electronics and Communication Engineering Birla Institute of Technology Ranchi Jharkhand Mesra India

Background: The Si-and GaAs-based devices are not suitable for very high-speed and high-power applications. Therefore, GaN-based devices have emerged as a potential contender. Further improvement in the device characteristics using appropriate mole fractions of Al and InN in the barrier layer of AlInN has become inevitable. Objective: To design AlInN/GaN HEMT and present its salient features. Methods: The design method for the proposed AlInN/GaN HEMT includes a selection of materials, optimization of mole fraction in AlInN barrier layer, optimization of gate oxide thickness, optimization of device dimensions, and doping concentration. The fabrication steps necessary for the AlInN/GaN HEMT are also explained in the paper. Analysis of the structure has been carried out using the Silvaco TCAD tool. Results: All the obtained results have revealed that the proposed device can operate up to the cut-off frequency of 102 GHz and a maximum oscillation frequency of 230 GHz, which are suitable for ra-diofrequency applications. The minimum noise figure and maximum transducer power gain (~18 dB) achieved by the proposed device is quite acceptable. Conclusion: The use of the AlN spacer layer has improved the AlInN film quality and mitigates strain at the heterointerface. Moreover, it reduces the Coulomb attraction between ions in the supply layer and electrons in the channel layer thereby improving carrier mobility. Usage of a SiO2 layer between the gate and AlInN barrier layer has decreased the gate leakage current. This has reduced the subthreshold slope and increased ON/OFF current ratio (~1010). The proposed Si3N4 passivated HEMT offers a breakdown voltage of ~1395 V. © 2023 Bentham Science Publishers.

关键词： Fabrication

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HAZARD PERCEPTION TEST AMONG YOUNG INEXPERIENCED DRIVERS AND RISK ANALYSIS WHILE DRIVING THROUGH A T-JUNCTION

Decision Making: Applications in Management and Engineering

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Decision Making: Applications in Management and engineering 2023年第1期6卷 1-17页

作者： Kabir, Md Faysal Roy, Sahadev Department of Electronics & Communication Engineering National Institute of Technology Arunachal Pradesh Jote India

In this article, the hazard-based accident duration model and the reaction time due to various types of distractions are considered. This analysis is mainly considered T-junction or T-junctions like all other forms of road geometries which are more prone to accident. The model proposed is constructed by using a electronics devices along with driving simulator, to study the behavior of the yang inexperienced drivers as well as an experienced driver about their reaction by calling their phone from unknown numbers intentionally. The results show that drivers distracted by mobile phones uses the hard breaking due to least available time to respond after identification of an event. Some of the research and theory bearing on decision making and risk perception, driver situation awareness, and possible mediators of risk-taking is also analyzed here. © 2023 Decision Making: Applications in Management and engineering. All rights reserved.

关键词： Accidents

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Synergistic applications of nanostructured boron nitride in photocatalysis and targeted drug delivery

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Nanotechnology for Environmental engineering 2024年第2期9卷 179-188页

作者： Mali, Priyadarshani Shivakumar Jagtap, Bhagyashree Krishnarao Gowda V, Dankan Ashreetha, B. Vasanthakumar, G.U. kaur, Mandeep Hariram, Venkatesan Department of Electronics and Telecommunications Engineering Bharati Vidyapeeth’s college of Engineering Kolhapur Maharashtra416013 India Department of Electronics and Computer Engineering Sharad Institute of Technology college of Engineering Yadrav Maharashtra Ichalkaranji Kolhapur416115 India Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka560064 India Department of Electronics and Communication Engineering School of Engineering Mohan Babu University Andhra Pradesh Tirupati India Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Yelahanka Bengaluru560064 India Department of Electronics and Communication Engineering Punjabi University Punjab Patiala147002 India Department of Practice of Medicine Vinayaka Mission’s Homoeopathic Medical College and Hospital A Constituent College of Vinayaka Mission’s Research Foundation Deemed to be University Tamilnadu Salem636 308 India

This study explores the applications of nanostructured boron nitride (BN) in photocatalysis and targeted drug delivery, highlighting its notable thermal conductivity, chemical stability, and wide bandgap. Through the synthesis and detailed characterization of BN nanoparticles, employing Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM), the material’s efficacy in light-induced chemical reactions and potential as a nanocarrier for drug delivery systems are investigated. Photocatalytic experiments reveal an enhanced ability of BN to absorb light and facilitate charge separation, suggesting a promising approach for environmental detoxification and sustainable energy generation. In parallel, investigations into BN’s drug loading capacity, release kinetics, and targeting efficiency, particularly in the context of cancer therapy, are conducted. Findings indicate that BN nanoparticles significantly enhance photocatalytic performance and offer a safe, effective platform for controlled drug release. This research underscores the dual utility of BN in addressing critical challenges in environmental engineering and medical treatment, pointing towards novel interdisciplinary applications of this versatile nanomaterial. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Photocatalysis

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CMOS compatible sinusoidal oscillator structures with explicit voltage and current outputs

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Australian Journal of Electrical and electronics engineering 2023年第3期20卷 251-268页

作者： Kumar, Atul Chaturvedi, Bhartendu Mohan, Jitendra Department of Electronics and Communication Engineering Jaypee Institute of Information Technology UP Noida India

The paper presents two novel circuits of sinusoidal oscillator featuring single differential difference dual-X second-generation current conveyor (DD-DXCCII) based realisation. One of the presented circuits provides voltage output signal and employs one DD-DXCCII, two capacitors and two resistors. Another presented circuit offers current output signal and employs one DD-DXCCII, two capacitors and three resistors. Both the circuits use grounded capacitors only. The output signals of presented circuits are obtainable at suitable impedance terminals (voltage signal at low impedance terminal and current signal at high impedance terminal), therefore the presented oscillator circuits offer rich cascadability. The additional performance features such as good operating frequency (49 MHz), low total harmonic distortion ( ©, Engineers Australia.

关键词： Analog circuits

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Explainable AI-based Model Interpretability for Tomato Leaf Disease Identification 15

Explainable AI-based Model Interpretability for Tomato Leaf ...

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

作者： Gowri, P. Aathilakshmi, S. Sivapriya, G. Boomika, A. Ashika, K. Aswin, P. Kongu Engineering College Department of Electronics and Communication Engineering Perunduarai Erode638060 India Chennai Institute of Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350370249

Tomatoes are one of the most widely produced, nutritionally dense crops. However, their cultivation is frequently hampered by a variety of viral and bacteria-borne illnesses. To overcome this issue, Deep Learning based on Convolutional Neural Networks has been created to give effective leaf disease detection. This research describes an innovative AI-based farmer support system capable of swiftly detecting diseases and monitoring crops to ensure food security. The system incorporates a model based on modified DenseNet 121 and XAI algorithms to precisely identify diseased tomato leaves, facilitating disease detection, soil analysis, and yield prediction. The system has shown an accuracy of over 99% after testing on real-world datasets, which greatly promotes sustainable agriculture practices and guarantees the supply of food services. © 2024 IEEE.

关键词： Convolution Neural Network (CNN) explainable AI Tomato leaf diseases transfer learning

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Solar Panel and Battery Maintenance Using IoT 10

Solar Panel and Battery Maintenance Using IoT

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10th International Conference on communication and Signal Processing, ICCSP 2024

作者： Kansal, Tejasvin Suryakala, S. Vasanthadev Narayanan, Arun Rajalakshmi, T. Bharath, V. Giri, Merrill Srm Institute of Science and Technology Department of Electronics and Communication Engineering Chennai603203 India Srm Institute of Science and Technology Collage of Engineering and Technology Department of Electronics and Communication Engineering Chennai603203 India

ISBN: (纸本)9798350353068

The use of solar energy has increased significantly over the world. They are well-liked due to their endlessness and purity. It also stands out for being low maintenance. Yet, if a little issue with the panel or circuit is not identified promptly, it could cost a lot to maintain. Another challenging task is finding the flaw inside the vast solar field. This study examines the viability of employing IoT for real-time fault detection. Reducing the maintenance expense and detection time, Panel temperature, light intensity, and current are monitored and maintained continuously, respectively, using temperature, light, and current sensors. In the proposed study to maintain the standard level of voltage, battery voltage is constantly monitored to meet the industrial need and to increase the life span. The study also aims to measure efficiency concerning the increase and decrease in power levels. Further, the study involves a cleaning system that can be integrated into the solar panel to clean the dust layer accumulated on the panel. Cleaning dust is an important factor in solar panel maintenance to improve efficiency and reduce corrosion. The novelty of the system lies in the comprehensive approach towards solar panel maintenance through the integration of IoT technology, smart cleaning systems, and rigorous analysis of efficiency factors. © 2024 IEEE.

关键词： Solar panels

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IoT-enabled smart healthcare data and health monitoring based machine learning algorithms

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Journal of Intelligent and Fuzzy Systems 2023年第2期44卷 2927-2941页

作者： Deepa, S. Sridhar, K.P. Baskar, S. Mythili, K.B. Reethika, A. Hariharan, P.R. Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore India Department of Electronics and Communication Engineering Karpagam Academy of Higher Education Coimbatore India Environmental Engineer Karupa Foundation Coimbatore India Department of Electronics and Communication Engineering Kpr Institute of Engineering and Technology Coimbatore India Department of Scientific and Industrial Research New Delhi India

A smart healthcare network can use sensors and the Internet of Things (IoT) to enhance patient care while decreasing healthcare expenditures. It has become more difficult for healthcare providers to keep track and analyze the massive amounts of data it generates. Health care data created by IoT devices and e-health systems must be handled more efficiently. A wide range of healthcare industries can benefit from machine learning (ML) algorithms in the digital world. However, each of these algorithms has to be taught to anticipate or solve a certain problem. IoT-enabled healthcare data and health monitoring-based machine learning algorithms (IoT-HDHM-MLA) have been proposed to solve the difficulties faced by healthcare providers. Sensors and IoT devices are vital for monitoring an individual's health. The proposed IoT-HDHM-MLA aims to deliver healthcare services via remote monitoring with experts and machine learning algorithms. In this system, patients are monitored in real-time for various key characteristics using a collection of small wireless wearable nodes. The health care business benefits from systematic data collection and efficient data mining. Thus, the experimental findings demonstrate that IoT-HDHM-MLA enhances efficiency in patient health surveillance. © 2023 - IOS Press. All rights reserved.

关键词： Internet of things

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Implementation of 256-Bit AES and SHA3 on FPGA 4

Implementation of 256-Bit AES and SHA3 on FPGA

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4th IEEE International Conference on Mobile Networks and Wireless communications, ICMNWC 2024

作者： Ambaprasad, N. Amogh, R. Ravikumar, K. Sachin Madhura, R. Shashidhar, R. Dayananda Sagar College of Engineering Department of Electronics and Communication Engineering Bengaluru India Jss Science and Technology University Department of Electronics and Communication Engineering Mysuru India

ISBN: (数字)9798331528348

ISBN: (纸本)9798350352931

The work discusses an implementation of the SHA3 algorithm and AES encryption/decryption algorithms which is of 256 bits using Verilog HDL on FPGA. The approach emphasizes optimizing resource utilization and minimizing latency through advanced pipeline design and parallel processing techniques. It provides detailed insights into design considerations, algorithmic intricacies, and FPGA-specific optimizations, demonstrating high-speed operations with minimal overhead. Additionally, the work justifies the synergistic application of both algorithms, leveraging their complementary strengths to offer a comprehensive and efficient solution for secure data processing in real-time applications. It contributes significantly to the advancement of cryptographic systems by providing a robust framework for secure and responsive data handling in modern computing environments. Anticipated work provides a straightforward implementation, suitable for swift deployment in real-world settings. Able to achieve usage of 8271 LUTs using Sha-3 function and achieve 170.94 Mhz frequency which is greatly reduced from 245Mhs when used with AES algorithm with efficient LUT usage. © 2024 IEEE.

关键词： Data handling

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