IoT based E-vehicle monitoring system using sensors and imaging processing algorithm

Alagarsamy, Manjunathan; Kasinathan, Prabakaran; Manickam, Geethalakshmi; Duruvarajan, Prabu Ragavendiran; Sakkarai, Jeevitha; Kannadhasan, S.

doi:10.11591/ijres.v11.i2.pp196-204

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Maximum the prevailing revisions were supplemented by labeled datasets. Therefore, when the dataset does not shelter all archetypal real-world samples, good performance in actual settings is not assured-even if the copies achieve high accurateness on test sets [60].…”

Section: Inferior Detection Accuracy Ratesmentioning

confidence: 99%

Intrusion detection systems for internet of thing based big data: a review

Lansari

Hadi

2023

IJRES

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Network security is one of the foremost anxieties of the modern time. Over the previous years, numerous studies have been accompanied on the intrusion detection system. However, network security is one of the foremost apprehensions of the modern era this is due to the speedy development and substantial usage of altered technologies over the past period. The vulnerabilities of these technologies security have become a main dispute intrusion detection system is used to classify unapproved access and unusual attacks over the secured networks. For the implementation of intrusion detection system different approaches are used machine learning technique is one of them. In order to comprehend the present station of application of machine learning techniques for solving the intrusion discovery anomalies in internet of thing (IoT) based big data this review paper conducted. Total 55 papers are summarized from 2010 and 2021 which were centering on the manner of the single, hybrid and collaborative classifier design. This review paper also includes some of the basic information like IoT, big data, and machine learning approaches are discussed.

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Section: Inferior Detection Accuracy Ratesmentioning

confidence: 99%

Intrusion detection systems for internet of thing based big data: a review

Lansari

Hadi

2023

IJRES

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“…3. The measured charging voltage with charging cost is upload to the web server with the help of IOT and displayed in LCD [18].…”

Section: Fig 2 Proposed System Block Diagrammentioning

confidence: 99%

Power Scheduling Scheme for a Charging Facility Considering the Satisfaction of Electric Vehicle Customers

et al. 2023

E3S Web Conf.

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Electric vehicles (EVs) are rapidly becoming a popular choice for transportation due to their low emissions and high fuel efficiency. However, one of the major challenges in EV adoption is the lack of charging infrastructure and the potential for grid overload during peak demand. To address these challenges, we propose a power scheduling scheme for a charging facility that optimizes power utilization and enhances the user experience of the EV drivers. The scheme considers the satisfaction of vehicle users by balancing the charging demands of the vehicles with the power supply capabilities of the facility. Our results demonstrate that the proposed scheme effectively reduces charging time and enhances the accessibility of charging stations, thereby improving the user experience, and encouraging EV adoption. The scheme also optimizes power utilization and reduces peak demand on the grid, thus contributing to the overall sustainability of the transportation system.

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“…There are many types of foam agents are used in the fire extinguisher system. One of the foaming agents used in fire extinguisher is AFFF (Aqueous film forming foam) which forms a foam blanket on the surface of the fire to prevent oxygen to enter or mix with fire [14][15]. Because with the help of the oxygen only fire can create or spread.…”

Section: Fig 5 Dry Chemicals 42 Foamsmentioning

confidence: 99%

Automatic Fire Extinguisher System with Safety Features for Vehicles

et al. 2023

E3S Web Conf.

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This project is aimed to prevent vehicles from fire explosions. In this project we used sensor, pipe valve, Fire extinguisher and Arduino. The sensor and pipe valve are placed in near the areas where there is a possible to catch on fire. The sensor and valve are connected to the Arduino and the valve is also connected to the fire extinguisher. Arduino is powered by separate battery. The working of the project is like whenever the fire is detected by the sensor, it transmits the signal to the Arduino and the Arduino transmit signal to the valve which is placed near to that fire. While doing this process, the Arduino unlock the central lock system of the vehicle and disconnect the battery to prevent the spreading of fire. For that we use separate battery for the Arduino. And also we use wi-fi module which send alert message to the fire station about the fire.

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IoT based E-vehicle monitoring system using sensors and imaging processing algorithm

Cited by 10 publications

References 12 publications

Intrusion detection systems for internet of thing based big data: a review

Intrusion detection systems for internet of thing based big data: a review

Power Scheduling Scheme for a Charging Facility Considering the Satisfaction of Electric Vehicle Customers

Automatic Fire Extinguisher System with Safety Features for Vehicles

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