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A Lightweight Blockchain Scheme for Secure Data Communication in Internet of Things-enabled Wireless Sensor Network

A Lightweight Blockchain Scheme for Secure Data Communicatio...

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2024 international conference on Smart Systems for Applications in electrical sciences, ICSSES 2024

作者： Balraj, Lavina Prasanth, A. Devi Sowndarya, K.K. Kuntavai, T. Sri Venkateswara College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Sriperumbudur India Institute of Science and Technology Tamil Nadu Vel Tech Rangarajan Dr. Sagunthala R&D Department of Computer Science and Engineering India DMI College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India Adhipara Sakthi Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chengalpattu India

ISBN: (纸本)9798350364040

In today's world, there will probably be an enormous rise in the volume of data sensed by sensors on the Internet of Things-enabled Wireless Sensor Network (IWSN). The sensed data from sensor nodes is gathered and transmitted to the sink. These sensor nodes suffer from several consequences including security, transparency, trust, and immutability. Furthermore, other technical impairments like computation, storage of sensed data, privacy, and energy conservation enhance the issues of the IWSN. To overcome this, a novel Blockchain Interplanetary File Access control System (BIFACS) has been proposed to manage intelligent autonomous access control for IWSN. Efficient data security and data transmission can be achieved in the proposed scheme by using the BIFACS algorithms. Further, the proposed scenario is implemented in the Solidity programming language and deployed on the local Ethereum. The efficacy of the proposed system has been analyzed based on computing, storage, and network performance. © 2024 IEEE.

关键词： Smart contract

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Image Caption Generation with Python: A Deep Learning-Based Approach 5

Image Caption Generation with Python: A Deep Learning-Based ...

引用

5th international conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Krishna, Siram Chaitanya Reddy, Painti Nagi Kirubanantham, P. School of Computing SRM Institute of Science and Technology Kattankulathur Department of Computing Technologies Chennai India School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Faculty of Engineering and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798331518097

Today, the day-to-day generation of such a large amount of content on social media and other websites makes it impossible to maintain each image manually, so the need for automatically identifying sensitive images and filtering them out becomes inevitable. This project proposes a sensitive image classification application using automatic captions in identifying and filtering inappropriate content. Thus, the information extracted from images by ResNet50 in the caption generation process is allowed to integrate such features with a standard model through Senti-Long Short-Term Memory networks (SLSTM) for better captioning. Deep learning models bring about drastically improved quality of captions along with contextual understanding. The captions are tested rigorously with training loss metrics, BLEU scores, and sentiment analysis through the VADER Sentiment Analyzer. This system efficiently categorizes images involving violence, negativity, or dangerous situations into the class of negative. A Flask-based web application was developed for implementing a scalable and user-friendly interface, ensuring efficient content moderation. This project has illustrated the possibility of integrating deep learning techniques with natural language processing to yield beneficial content moderation, further ensuring safe and controlled online environments. © 2024 IEEE.

关键词： Long short-term memory

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EEG-Driven Approach to Improve Academic Performance via Auditory Brainwave Entrainment Techniques 8

EEG-Driven Approach to Improve Academic Performance via Audi...

引用

8th IEEE international conference on computing, Communication, control and Automation, ICCUBEA 2024

作者： Banait, Shweta Kanhere Ranjan, Prabhat Chavan, Sanjana Chavan, Devang D Y Patil International University School of Interdisciplinary Research and Studies Maharashtra Pune India D Y Patil International University School of Bio-Sciences and Bio-Engineering Maharashtra Pune India D Y Patil International University School of Computer Science Engineering and Applications Maharashtra Pune India

ISBN: (纸本)9798350391770

As the most intelligent species, humans possess highly developed cognitive abilities facilitated by complex neural mechanisms. Our brains generate electrical signals in response to sensory inputs and experiences. Audiovisual Entrainment (AVE) techniques leverage this neuroplasticity, allowing external stimuli to modulate brain wave patterns. This approach has shown potential in addressing various neurological conditions, alleviating stress and anxiety, and enhancing cognitive performance and overall well-being. Brain-Computer Interface (BCI) technologies enable direct monitoring and analysis of neural activity through non-invasive methods like Electroencephalography (EEG). EEG provides a cost-effective and practical solution for recording brain wave patterns during cognitive tasks, facilitating insights into neurophysiological processes and informing the development of targeted interventions, such as AVE. © 2024 IEEE.

关键词： Electroencephalography

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Research on Aerodynamic Layout System of Small UAV Based on Computer Intelligent Flight control Software 3

Research on Aerodynamic Layout System of Small UAV Based on ...

引用

3rd IEEE international conference on electrical engineering, Big Data and Algorithms, EEBDA 2024

作者： Wei, Dechen Fan, Yukun Zhao, Xiaoyang College of Electromechanical Engineering Binzhou University Shandong Province Binzhou City China

ISBN: (纸本)9798350380989

In this paper, the one-click full-function detection scheme is adopted to realize the comprehensive test method of the flight control system. Firstly, the hardware design of interface board, power board, signal adjusting board and test board is completed based on 586 driver board. Then the layered software architecture is given. The method adopts the modular design idea and completes the task decomposition. Then the communication mode based on ORB is proposed, and the idea of state machine is used to deal with emergencies. The system has the functions of bottom drive, timing control, power-on control, current detection, function detection and so on. It can detect the flight control computer automatically according to the preset timing logic without human intervention. Four different test cases are presented. The results of computer simulation verify that the chosen test route is consistent with the real one. The experiment proves that the scheme can complete the reliability test of the system well. © 2024 IEEE.

关键词： aerodynamic layout automatic detection autonomous flight drones signal threshold detection

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Underground Electric Field Radiated by Lightning Return Stroke on Tall Sructures: Analysis Using EM Models and the 3D-FDTD Method 3

Underground Electric Field Radiated by Lightning Return Stro...

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3rd international conference on Advanced electrical engineering, ICAEE 2024

作者： Talbi, Mohamed Abdelghani Arzag, Kaddour Azzouz, Zin-Eddine University of Saida LGE. Lab. Fac. of Technology Saida Algeria Utms of Saida Ldee Lab. USTO-MB of Oran Dept. of Electrotechnics Algeria USTO-MB of Oran LDEE. Lab. USTO-MB Oran Dept. of Automatic and control Algeria

ISBN: (纸本)9798350349351

In this study, we present an analysis of the underground propagation relative to the vertical and horizontal electrical fields, generated by the interaction between lightning and a tall object, namely a tower erected on a finite conductivity ground. The effect of the soil depth on the propagation of electrical field is taken into account in this study. The tower under consideration has resemblance to the Peissenberg Tower built in Germany. Simulation results are obtained by using electromagnetic models of the lightning current. These models are associated to the three-dimensional finite differences in time domain (3D-FDTD) method based on Taflove formulation and the the UPML limit conditions. A computing code is developed in Matlab based on the suggested approach. Three distinct distances from the bottom of the tower were taken into account and in the calculation, we considered two different depths. Finally, the findings highlighted that the suggested approach is an effective method for assessing and analyzing lightning underground electrical fields. © 2024 IEEE.

关键词： MATLAB

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Adaptive Incremental Conductance as a Highly Efficient Maximum Power Point Tracking Algorithm for Photovoltaic Systems under Partial Shading 19

Adaptive Incremental Conductance as a Highly Efficient Maxim...

引用

19th international conference on electrical engineering, computing science and automatic control, CCE 2022

作者： Diaz-Bernabe, Jose L. Morales-Acevedo, Arturo Cinvestav Ipn Chemistry Department Cdmx Mexico Cinvestav Ipn Electrical Engineering Department Cdmx Mexico

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455084

The Maximum Power Tracking (MPPT) Incremental Conductance (IC) and Adaptive Incremental Conductance (AIC) algorithms are simulated and compared for different shading patterns on a typical Photovoltaic (PV) System. The results show that the conventional IC algorithm misses the Global Maximum Power Point (GMPP) and achieves a low dynamic MPPT efficiency around 83% for PV strings under different critical shading conditions. However, the AIC algorithm, with optimized parameters, successfully tracks the GMPP and its dynamic MPPT efficiency is above 99.3% under similar shading conditions. Then, it is concluded that the AIC is far superior to the conventional IC algorithm, and it has a good performance like other soft computing and bio-inspired methods, but it is simpler to implement than those algorithms. © 2022 IEEE.

关键词： Maximum power point trackers

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Performance Analysis of High-Resolution Direction of Arrival Estimation Based on Music Algorithm With Impact of Mutual Coupling 3

Performance Analysis of High-Resolution Direction of Arrival...

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3rd IEEE international Maghreb Meeting of the conference on sciences and Techniques of automatic control and Computer engineering, MI-STA 2023

作者： Abu Isbayhah, Munayr J. Makkari, Abuojaylah A. Khalifa, Ramdan A M. Abuzaid, Osama M. Azzaytuna Uinversity Electrical and Electronice Department Libya Uinversity Technology Telecommunction and Electronice Department Malaysia High Istitue of Science End Technology-Suk Algumaa Electrical and Electronice Department Libya Faculty of Technical Sciences Electrical Engineering Department Bani Walid Libya

ISBN: (纸本)9798350319897

This research paper used the MATLAB software for preview of the Direction of Arrival (DOA) estimation based on Multiple Signal calcification (MUSIC) algorithm. Abone on The estimation of the direction of arrival of the signal has been investigated and compared for several types of uniform array configurations, including linear and orbicular, with and without mutual coupling. The Modified Root Pisarenko (MRP) technique was used to evaluate how the mutual coupling affected the precision of the (DOA) estimation using (MUSIC) algorithms. © 2023 IEEE.

关键词： Direction of arrival

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Exploring the Use of Transfer Learning for Automated Brain Tumor Segmentation 5th

Exploring the Use of Transfer Learning for Automated Brain T...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Savita Jaison, Feon Nautiyal, Kshitij Sunitha, B.J. Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bengaluru India Department of Electrical Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

Switch getting to know has become increasingly famous in many aspects of pc vision, including picture segmentation. This paper explores switch-gaining knowledge for automated brain tumor segmentation using a deep getting-to-know structure known as U-net. U-internet is a convolution neural community version that has been used efficiently to ramify scientific image segmentation obligations in the beyond. This work utilizes a U-internet model skilled on a huge-scale brain tumor segmentation dataset. The version plays nicely at the utility of brain tumor segmentation, achieving an average cube coefficient of zero. Ninety-three on check scans. Moreover, qualitative consequences display that the U-net version produces segmentation masks with few false-nice mistakes. These consequences reveal the capability of switch getting to know for automatic mind tumor segmentation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image segmentation

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IoT-Enabled Water Management: A Low-Cost Framework for Sustainable Irrigation in Agricultural Farms and Home Gardens

IoT-Enabled Water Management: A Low-Cost Framework for Susta...

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2024 international conference on Advances in computing, Communication, electrical, and Smart Systems, iCACCESS 2024

作者： Rana, Md Zweel Rahaman, A. S. Md. Mostafizur Ali, Md Osman Mahmud, M. A. Parvez Walton Hi-Tech Ind. Plc Dept. of Research and Innovation Gazipur1751 Bangladesh Jahangirnagar University Dept. of Computer Science and Engineering Dhaka Savar Bangladesh Noakhali Sci. and Tech. University Dept. of Electrical and Electronic Engineering Noakhali3814 Bangladesh School of Mathematical and Physical Sciences University of Technology Sydney Australia

ISBN: (纸本)9798350350289

Agriculture is a major contributor to Bangladesh's economy, with many people depending on it for their livelihoods. Farming and gardening are considered a key initiative in mitigating global warming as well as providing economic support for many families in Bangladesh. However, the vulnerability of gardens to damage during long weekends and vacations necessitates smart solutions. Also, proper irrigation is crucial for agriculture-based farms to thrive, as it is highly dependent on environmental conditions. This paper explores the application of Internet of Things (IoT)-based smart technologies as a promising solution to address this issue. A user-friendly, low-cost system facilitates the commercialization of such solutions on a large scale. In this work, we have implemented an IoT-based solution for the irrigation and watering system for agricultural firms and home gardens in Bangladesh, respectively. Considering the diverse weather conditions of Bangladesh, three key parameters, such as moisture, temperature, and humidity;have been monitored continuously and analyzed in real-time. The proposed system consists of two parts: the watering system, and the mobile app interface. The watering system incorporates an ESP32 Node MCU, sensors, two servo motors and a water pump. In automatic mode the water supply inside the garden or farm is connected to a water pump, that will be activated when the soil moisture sensor detects low moisture level, and the ambient sensor detects low humidity or high temperature. Alternatively, the garden or farm owners can remotely control the pump motor through the mobile app to water in the farm leveraging sensor data. Also, it can control the water flow angle according to their preferences. Additionally, this proposed system has the potential to save 25% to 40% of water and energy resources than traditional irrigation methods. The overall cost of the system is approximately 2476 taka, which is around the cost of 20 USD. The system is designe

关键词： Internet of things

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An Innovation Development of Neuro controller for Condition Monitoring and Smart Industrial Instrumentation 2

An Innovation Development of Neuro Controller for Condition ...

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2nd IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2023

作者： Vanitha, K. Raja Praveen, K.N. Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347456

The Neuro controller is an innovative piece of industrial instrumentation designed to monitor conditions in smart industrial settings. It is a powerful and versatile controller that can be used to monitor, control, and manage industrial processes. The Neuro controller is equipped with advanced sensors and actuators, enabling it to accurately measure and control a variety of conditions. The Neuro controller is able to monitor and control temperature, pressure, humidity, flow, and other parameters in an industrial setting. It is also capable of detecting changes in these parameters, allowing it to respond to changes quickly and accurately. The Neuro controller uses advanced algorithms to analyze data and make decisions, allowing it to optimize and control processes efficiently. Additionally, the controller is able to integrate data from numerous sources, providing a comprehensive view of a process. In this paper, a smart Neuro controller for Condition Monitoring and smart industrial instrumentation. The Neuro controller is designed to provide enhanced safety and efficiency in industrial settings. It is capable of detecting potentially hazardous conditions and alerting personnel to take action. Additionally, the controller can be used to automate processes, reducing the risk of accidents and improving process efficiency. © 2023 IEEE.

关键词： controllers

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