Applied Internet of Things (IoT): Car monitoring system using IBM BlueMix

Husni, Emir; Hertantyo, Galuh Boy; Wicaksono, Daniel Wahyu; Hasibuan, Faisal Candrasyah; Rahayu, Andri Ulus; Triawan, Muhamad Agus

doi:10.1109/isitia.2016.7828696

Cited by 44 publications

(10 citation statements)

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“…Oleh karena itu diperlukan suatu metode yang dapat digunakan untuk menganalisis perilaku pengendara mobil berdasarkan indikator pembacaan sensor-sensor pada mobil. Dengan memanfaatkan metode IOT (Internet of Things) sebagai metode komunkasi data dan OBD II (On board Diagnostic II) sebagai alat pembaca data mesin mobil [9], maka memungkinkan untuk menciptakan suatu sistem yang dapat melakukan monitoring dengan menggunakan raspberry pi [10]. Selain itu juga dimungkinkan untuk menciptakan sistem reporting perilaku pengendara mobil rental berdasarkan data yang dikirim langsung dari mobil itu sendiri.…”

Section: Pendahuluanunclassified

Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things

Rahayu

2021

j.inf.tech.comp.eng

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This research is created as a system for a car rental service. The system has monitoring features allowing the car rental owner to monitor the engine condition. The monitoring is performed by using a web interface that could read data from OBD-II that sent by raspberry pi 2. The owner can also monitor the position of the car by using coordinates sent from a smartphone by utilizing the GPS feature. In addition, it also has a reporting feature that allows the owner to track the data history from OBD II about the engine rpm, speed, engine load & temperature. Moreover, the owners can identify the route that has been passed by their car. Likewise, this system provides a program that analyzes the car driver's behavior based on the determined rules. The analysis was conducted based on all data from OBD-II in the database server and all data of driving rules violation performed by the driver. The result is an assessment of the driver as a driving error rate. This study generated 173 data of which 9 were driving rules violations with a 5.20% driving error rate. The report can be obtained by selecting the time interval. It also downloadable and can be sent by e-mail.

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Section: Pendahuluanunclassified

Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things

Rahayu

2021

j.inf.tech.comp.eng

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“…Na Seção 5 são apresentadas as conclusões e os trabalhos futuros. HUSNI et al (2016) [7] desenvolveu um sistema de carro inteligente denominado Smart Car que monitora e relata a condição do automóvel para prever manutenções de rotina e fornecer informações para melhorias na forma de dirigir. Os parâmetros monitorados do Smart Car foram carregados em um servidor na nuvem utilizando aplicativos IBM BlueMix a fim de obter informações para manutenção preditiva e monitoramento.…”

Section: Maicol Peterson Gandolphi De Almeidaunclassified

Sensoriamento Automobilístico Usando Redes Sem Fio e Alerta de Falhas por Voz Sintetizada

Kneis

Almeida

2021

Anais Do XII Computer on the Beach - COTB '21

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This paper proposes a sensing system for vehicles using an auto- motive scanner with wireless connection for sending data. The connection to the scanner provides data that is sent to a cell phone via a Bluetooth connection and to the cloud . In order to provide a response to the driver as soon as an abnormality appears, an appli- cation was created to emit a synthesized voice warning. The results showed that the driver, through the synthesized voice messages and the system interface, was previously able to become aware of the abnormalities of the vehicle and carry out preventive maintenance.

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“…IoT concept can be utilized in versatile areas such as intelligent health care system, intelligent agriculture, environmental impact predictions, automation industries, etc. [1,2,3,4]. World Health Organization (WHO) [5] mentions that the uncertainty of health conditions is a widespread problem for aged people.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT) Based ECG System for Rural Health Care

Rahman¹,

Kashem²,

Nayan³

et al. 2021

IJACSA

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Nearly 30% of the people in the rural areas of Bangladesh are below the poverty level. Moreover, due to the unavailability of modernized healthcare-related technology, nursing and diagnosis facilities are limited for rural people. Therefore, rural people are deprived of proper healthcare. In this perspective, modern technology can be facilitated to mitigate their health problems. ECG sensing tools are interfaced with the human chest, and requisite cardiovascular data is collected through an IoT device. These data are stored in the cloud incorporates with the MQTT and HTTP servers. An innovative IoT-based method for ECG monitoring systems on cardiovascular or heart patients has been suggested in this study. The ECG signal parameters P, Q, R, S, T are collected, preprocessed, and predicted to monitor the cardiovascular conditions for further health management. The machine learning algorithm is used to determine the significance of ECG signal parameters and error rate. The logistic regression model fitted the better agreements between the train and test data. The prediction has been performed to determine the variation of PQRST quality and its suitability in the ECG Monitoring System.Considering the values of quality parameters, satisfactory results are obtained. The proposed IoT-based ECG system reduces the health care cost and complexity of cardiovascular diseases in the future.

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Applied Internet of Things (IoT): Car monitoring system using IBM BlueMix

Cited by 44 publications

References 1 publication

Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things

Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things

Sensoriamento Automobilístico Usando Redes Sem Fio e Alerta de Falhas por Voz Sintetizada

Internet of Things (IoT) Based ECG System for Rural Health Care

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