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Brain Tumor Detection using Deep Learning 5

Brain Tumor Detection using Deep Learning

引用

5th IEEE international conference on Advances in computing, Communication control and Networking, ICAC3N 2023

作者： Rai, Vipin Dwivedi, Harshit Tiwari, Shivam Gupta, Pankaj Kumar Galgotias University School Of Computing Science And Engineering Plot No-2 Sector 17-A Yamuna Expressway Greater Noida India

ISBN: (纸本)9798350330861

At first, people were unaware of brain tumors, it was believed that there was no cure for the disease, and the main control of the humanoid system was carried out by the human brain. Brain tumors form when brain cells grow and divide abnormally, and brain cancers form when brain tumors continue to grow. Computer purpose is essential in the field of medical because it removes the need for human judgment to produce correct results. The safest MRI techniques are likes of X-ray, CT-Scan and many more useful techniques. Such techniques can even identify small objects. Brain cancer using brain MRI. Abilateral (BF) filter was used in the pre-processing of this study to remove any noise present. For clinical anaysis there is a method termed as Medical imaging is used which basically provides visual representation of the inshore of body and also to show its functioning. Medical imaging is becoming increasingly important as the need for automatic, quick and efficient diagnosis increases, which can provide better image understanding than the human eye. Seeing different trends among young age group it can be said the brain tumor might be the major source of deaths caused by cancer among age group of 20-39. Brain tumors are painful and, if not treated properly, can eventually lead to various diseases. © 2023 IEEE.

关键词： Diseases

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Enhancing Industrial Load Scheduling through Demand Side Management and Advanced Optimization Techniques Using Neuro-Fuzzy and Deep Learning Approaches 4

Enhancing Industrial Load Scheduling through Demand Side Man...

引用

4th IEEE international conference on computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Agarwal, Shivani Sharma, Ritu Tamilselvi, M. Sharma, Harsh Mohan Sahu, Dinesh Prasad Singh, Jagendra Ajay Kumar Garg Engineering College Department of Information Technology Ghaziabad India Gyan Ganga Institute of Technology and Science Dept. of Electrical and Electronics Engineering Jabalpur India Roever Engineering College Perambalur Deartment of Computer Science and Engineering Perambalur India Raj Kumar Goel Institute of Technology Department of Management Ghaziabad India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (纸本)9798350306118

This study aims to investigate whether physical factors like temperature, humidity, and pressure interact with current in Micro-electromechanical systems (MEMS). To study these interactions, a straightforward system with four spin-operated engines was employed. The pressure, humidity, and temperature may all change as a result of changing the motor's output current. The results are evaluated and predicted using LSTM and Neuro-Fuzzy models. Sensors are used to keep an eye on these circumstances. Neurofuzzy models employ fuzzy logic and artificial intelligence to capture interconnections, as opposed to LSTM models, which use their capacity to comprehend data connections to capture long-Term effects. The results demonstrate that the body's capacity to exert energy is enhanced by the effect of body energy on temperature, humidity, and pressure. The research could lead to improvements in temperature control, energy efficiency, and the functionality and design of massive industrial machinery. A straightforward design is used to launch controlled experiments, and the data collected is then used to train and assess the model. By offering helpful suggestions for the improvement of the motor and the operating electric economy, this study contributes to our understanding of the evolution of the electric motor. © 2023 IEEE.

关键词： Electric loads

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Social Media Event Summarization using Neural Networks 3

Social Media Event Summarization using Neural Networks

引用

3rd international conference on Smart Technologies in computing, electrical and Electronics, ICSTCEE 2022

作者： Yadala, Sucharitha Gurram, Anitha Yamunadevi, S. Veeresh, U. Latha, S Bhargavi Chitti, T.N. VNR Vignana Jyothi Institute of Engineering and Technology Computer Science and Engineering Hyderabad India CMR Institute of Technology Computer Science and Engineering Hyderabad India Panimalar Engineering College Computer Science and Engineering Tamilnadu India School of Computer Science and Engineering REVA University Karnataka Bengaluru India Kalasalingam Academy of Research and Education Krishnankoil India

ISBN: (纸本)9781665456647

Micro blogging sites have become extremely popular, with a huge number of tweets being posted daily on a broad assortment of subjects. Recent studies have exposed that a significant part of these tweets are regarding 'events', and the discovery of new events in the tweet-stream has pulled in a lot of attention. In the Natural Language Processing (NLP) field, automatic text summarization is viewed as an extremely tricky problem. The content substance on the internet, specifically, is rising at an outstanding level. The capacity to decode through such immense volumes of data, to facilitate mine the require knowledge, is a foremost undertaking and needs an automatic system to serve with the present warehouse of data. A decent text summarization framework should comprehend the entire content, reorganize information, and create coherent, useful and amazingly tiny summaries to pass on the significant information of the innovative content. In this article, an inventive content summarization framework has been built, which combines RNN with LSTM and encoder-decoder structure. Our framework is assessed on the LCSTS dataset, which is an excellent corpus of Chinese short content summarization dataset created from 'SinaWeibo'. Empirical outcomes exhibit the adequacy of the proposed framework, which outperforms all the existing approaches. Particularly, the proposed framework enhances the semantic consistency by 5% in terms of human assessment. © 2022 IEEE.

关键词： Semantics

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Adaptive Overhead Glass Curtain Wall Cleaning Robot Design 24

Adaptive Overhead Glass Curtain Wall Cleaning Robot Design

引用

2024 international conference on Industrial Automation and Robotics, IAR 2024

作者： Jiang, Tao Chen, Huadong Yang, Zixi Zhou, Haolin School of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu China

ISBN: (纸本)9798400711268

In the rapid development of modern cities, glass curtain wall structures are widely used in many high-rise buildings and large-scale comprehensive transportation hubs, becoming an important means of beautifying architectural space and enhancing the city’s image. The beautification and cleaning of curved curved glass curtain wall has become the focus and difficulty of the world’s metropolis to rectify the city appearance. In this paper, an adaptive overhead glass curtain wall cleaning robot is innovatively designed, featuring self-adaptive wall surface, strong adsorption capacity, sewage recycling and purification, compact structure, long energy-saving and environmentally friendly single working time, etc. It can stably adsorb and travel on curved curved surfaces, and flexibly, quickly and stably complete the automatic cleaning operation of overhead glass curtain wall. This paper focuses on solving the problem of surface adaptability of cleaning brush head and adsorption marching, and provides an efficient sewage recycling and purification program, which provides ideas for green urban beautification and construction development, and has important social significance, engineering practical value of a wide range of market application prospects. Adaptive high altitude glass curtain wall cleaning robot is a kind of professional cleaning robot that integrally applies the results of many technologies such as intelligent control, mechanical design and material science, which is an extended application of wall climbing robot, and its basic composition includes the robot’s mechanical system and the control system, and this chapter will elaborate the overall design scheme and the design ideas of the robot based on the functions and principles of these two parts. © 2024 Copyright held by the owner/author(s).

关键词： Tall buildings

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A Reliable control System for Unmanned Aircraft using Fault-Tolerant control 3

A Reliable Control System for Unmanned Aircraft using Fault-...

引用

3rd international conference on Intelligent computing, Instrumentation and control Technologies, ICICICT 2022

作者： Abdul Basith, J. Jayasree, P.R. Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

Navigation with an unmanned aircraft is a complex problem to solve as it is strictly dependent on the effectiveness of sensors and actuators. Fault-Tolerant control (FTC) is an effective tool to tackle these challenges in the event of a fault in any actuators or sensors. This project reviews the possibilities of improved performance in the face of actuator failures in an aircraft by implementing Fault Detection (FD) and FTC techniques. The goal is achieved through online fault isolation and diagnosis, automatic assessment in conditions, and the calculation of actions that need to taken in action on detecting a fault. The resultant simulation performance prove that the controller proposed in this work achieves its design intention and demonstrates the coherence of the chosen control logic art of approach in the event of a rudder failure. © 2022 IEEE.

关键词： Fault detection

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The Preparation Method, Resistive Switching Mechanism and Application Prospects of Memristor 7

The Preparation Method, Resistive Switching Mechanism and Ap...

引用

7th international conference on electrical, Mechanical and Computer engineering, ICEMCE 2023

作者： Li, Jiao Zhao, Ximei Lei, Tengfei Chai, Lin Wang, Shi Yu, Yuna Collaborative Innovation Center of Memristive and Computing Application Qilu Institute of Technology Jinan250200 China School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China College of Computer and Communication Engineering Qilu Institute of Technology Jinan250200 China

ISBN: (纸本)9798350382877

Memristors have also become one of the most promising research hotspots for solving data storage and computing problems faced in the big data era. As an emerging electronic device, memristor has potentially important applications in information storage and processing. This paper constructs a rod-shaped TiO2-x nanoscale memristor with FTO/TiO2-x/Cu structure, whose reliability is based on the memory behavior and its conversion mechanism. Research progress including materials, preparation methods, resistive switching mechanism and application prospects are described. First, the constituent materials of memristor are introduced, focusing on metal oxides and organic materials such as titanium oxide (TiO2). The choice of these materials is critical to memristor performance and applications. Secondly, the advantages and limitations of the preparation methods are discussed. Then the resistance switching mechanism of memristor was studied in depth, focusing on the generation principle and adjustment mechanism of memristor effect. These include important concepts such as charge migration, Schottky barrier formation and oxygen vacancy drift, which help to understand the electrical properties of memristors. In addition, we explore the prospects of memristors in practical applications. Finally, past and current work in this field is summarized, and the prospects and challenges of memristorrelated research are prospected. © 2023 IEEE.

关键词： Memristors

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Rule-based Self-supervised learning Non-Intrusive Load Monitoring system for residential houses 8

Rule-based Self-supervised learning Non-Intrusive Load Monit...

引用

8th IEEE international conference on Recent Advances and Innovations in engineering, ICRAIE 2023

作者： Madhushan, Nimantha Rathnayake, Rasanjalee Udhyani, Ashmini Wijewardhana, Uditha Dharmaweera, Nishan University of Sri Jayewardenepura Dept. of Electrical and Electronic Eng Nugegoda Sri Lanka University of Sri Jayewardenepura Dept. of Computer Eng Nugegoda Sri Lanka

ISBN: (纸本)9798350315516

Real-Time non-intrusive load monitoring (NILM) systems have gained significant importance in various applications, including demand-side management, appliance anomaly detection, and ambient assisted living. While numerous research-based solutions have been developed over the past two decades, still it remains a need for an affordable application-level NILM solution. In this paper, we present a novel rule-based self-supervised approach that operates within a low-price range. Our proposed methodology offers automatic identification of unknown appliances within the system, achieving real-Time appliance identification with a satisfactory level of accuracy. We contribute to the development of a cost-effective and efficient solution for non-intrusive load monitoring, enabling applications across diverse domains. © 2023 IEEE.

关键词： Supervised learning

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Aviation Safe Landing Prediction Utilizing Long-Short Term Memory Algorithm 6

Aviation Safe Landing Prediction Utilizing Long-Short Term M...

引用

6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Krishna, Raji Sariki, Tulasi Prasad Sigamsetty, Siri Mahalakshmi Kumar, G. Bharadwaja Benil, T. Vellore Institute of Technology School of Electrical Engineering Chennai Campus Chennai India Vellore Institute of Technology School of Computer Science Engineering Chennai Campus Chennai India

ISBN: (纸本)9798350394702

The aviation industry is significantly dependent on sophisticated technology, such as engines, avionics, and air traffic control systems, to assure the safety and efficiency of its operations. A significant proportion of commercial aviation accidents may have been averted by implementing a flying procedure wherein an incoming aircraft discontinues its landing attempt and reenters the queue for landing. The timely implementation of this approach can substantially impact mitigating the overall accident rate within the aviation industry. Hence, the main aim of this article is to effectively forecast flight landings, improve safety measures and enable informed decision-making in complex situations for both autonomous and human-operated aircraft using a Deep Learning algorithm such as long short term memory (LSTM). The performance of LSTM compared with machine learning (ML) technique like Support Vector Machines (SVM) and logistic regression algorithm in terms of sensitivity and specificity © 2023 IEEE.

关键词： Long short-term memory

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Formal Modelling of the Multiple Trains Following Operation in Uncertain Environments 18

Formal Modelling of the Multiple Trains Following Operation ...

引用

18th international conference on Intelligent Systems and Knowledge engineering, ISKE 2023

作者： Wang, Xia Xu, Yang Liu, Jun Wu, Guanfeng Chen, Shuwei School of Computing and Artificial Intelligence SW Jiaotong Univ. Natl.- Loc. Jt. Eng. Laboratory of System Credibility Automatic Verification Chengdu China School of Mathematics SW Jiaotong Univ. Natl.- Loc. Jt. Eng. Laboratory of System Credibility Automatic Verification Chengdu China School of Computing Ulster University Northern IrelandBT37 0QB United Kingdom

ISBN: (纸本)9798350318401

Ensuring the safety of the following operation under moving block signal is very important for safe operation. Now that the Train control system under Moving Block Signal (TC-MBS) is a distributed, complex, dynamic, and highly interactive system, the proposed method uses the Multi-Agent System (MAS) technique to design, model, and analyse the TC-MBS system. This paper describes implementing formal methods for modelling the TC-MBS system that operates in an uncertain environment and its safety verification based on model checking techniques. First, the multi-mode following operation in an uncertain environment is analysed using the decision table technique. Second, we introduce a creative modelling approach for MAS called UML-MAS to build the semi-formal model of the TC-MBS system. UML-MAS acts as a standard interface for the system designers and infrastructure managers to increase their requirement comprehension, analysis, system design, and scheme planning at the conceptual level. Thirdly, a set of rules is suggested to convert UML-MAS model into Vector-based Interpreted Systems Programming Language (VISPL) model, which serves as the input for the model checker MCMAS- T. In order to demonstrate the practicality and effectiveness of the suggested approach, some case studies on modelling the TC-MBS systems while considering various scenarios in an uncertain environment and their verification employing MCMAS- Tare presented. © 2023 IEEE.

关键词： Multi agent systems

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Research on Inverter control System of Flip Fixture 2

Research on Inverter Control System of Flip Fixture

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2nd international conference on electrical engineering and control science, IC2ECS 2022

作者： Wang, Shangang Zhang, Shuang Fu, Hudai Yi, Wan Wang, Ye Changchun Institute of Technology School of Mechatronic Engineering Changchun130012 China

ISBN: (纸本)9798350399165

This paper draws on the strategic goal of 'Made in China 2025' to promote the process of industrialization and modernization and realize part of the intelligent transformation of the traditional factory production model. The inverter control system of the flip fixture is designed to realize automation based on the requirements of the enterprise. This paper introduces the control system of the flip fixture. The programmable controller 6ES7 214-1AD23-OXB8 is used as the main control device. And the inverter is used to control the direction, speed, frequency and amplitude of the motor. In this way, the period of the moving magnetic field is set to control the motor speed smoothly. The control system achieves the automatic flipping of the flip fixture through the inverter, which reflects the safety, efficiency and reliability. © 2022 IEEE.

关键词： control systems

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