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Intelligent Technologies for Automated Electronic Systems
Intelligent Technologies for Automated Electronic Systems
Intelligent Technologies for Automated Electronic Systems
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Intelligent Technologies for Automated Electronic Systems

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This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation.

Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications.

The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW.

Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare.

The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.
LanguageEnglish
PublisherBentham Science Publishers.
Release dateMar 6, 2024
ISBN9789815179514
Intelligent Technologies for Automated Electronic Systems

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    Book preview

    Intelligent Technologies for Automated Electronic Systems - S. Kannadhasan

    Innovative Device for Automatically Notifying and Analyzing the Impact of Automobile Accidents

    R. Kabilan¹, *, R. Ravi¹, ², R. Mallika Pandeeswari¹, S. Shargunam¹

    ¹ Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    ² Department of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    Abstract

    In many nations, motorcycle accidents are a big public issue. Despite public awareness campaigns, the problem continues to grow as a result of poor riding habits such as riding without a helmet, dangerous driving, drunk driving, riding without enough sleep, and so on. Because of late help to those who have been in accidents, the rate of deaths and disabilities is quite high. People who are implicated suffer significant economic and social consequences as a result of them. As a result, various research organizations and large motorcycle companies have developed safety systems to safeguard riders from harm. Furthermore, a dElectronics and Communication Engineeringnt motorcycle safety system is hard to execute and costly. The integration of modern communication technologies into the automotive industry allows for greater assistance to people wounded in traffic accidents, a reduction in the time it takes emergency services to respond, and an increase in the amount of knowledge they have about the occurrence. The number of fatalities might be greatly reduced if the resources necessary for each disaster could be determined more precisely. The developed scheme calls for every vehicle to be equipped with an on-board unit that detects and reports accident scenarios to an exterior control unit that assesses the depth of the problem and provides the needed resources to aid it. The creation of a prototype based on off-the-shelf equipment indicates that this technology can considerably reduce the time it takes to send emergency services following an accident.

    Keywords: Buzzer, GSM, GPS, LCD, Tilt Sensor, Zigbee.


    * Corresponding author R. Kabilan: Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India; E-mail: [email protected]

    INTRODUCTION

    An embedded server is a computer that is designed to do one or a few specific functions, frequently under time limitations. It is frequently incorporated as part system, including a PC, on the other hand, is built to be adaptable and suit a huge

    of a larger device that includes hardware and mechanical components. An overall spectrum of end-user requirements. Many modern devices are controlled by embedded systems.

    One or more primary processing cores, usually a microcontroller or a digital signal processor, control embedded systems. The most important attribute, however, is that it is dedicated to completing a certain task, which may necessitate the use of extremely powerful processors. Because the embedded system is dedicated to a single purpose, design engineers may optimise it to decrease the product's size and cost while improving its dependability and performance. Certain embedded systems are high-density to take advantage of economies of scale. The overall number of cars on the road has increased dramatically in recent decades, increasing traffic congestion and the incidence of traffic accidents. In the event of a traffic collision, finishing the aid of badly wounded passengers within an hour following the occurrence is critical to limiting the detrimental consequences to the occupants' health

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