Browse Topic: Internet of things (IoT)

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The Advancement in Connected vehicles Technology in recent years has propelled the use of concepts like the Internet of Things (IoT) and big data in the automotive industry. The progressive electrification of the powertrain has led to the integration of various sensors in the vehicle. The data generated by these sensors are continuously streamed through a telematics device on the vehicle. Data analytics of this data can lead to a variety of applications. Predictive maintenance is one such area where machine learning algorithms are applied to relevant data to predict failure. Field vehicle malfunction or breakdown is costly for manufacturers’ aftermarket services. In the case of commercial vehicles, downtime is the biggest concern for the customer. The use of predictive maintenance techniques can prevent many critical failures by tending to the root cause in the early stages of failure. Engine overheating is one such problem that transpires in diesel engines. Overheating of an engine
Hiwase, Shrikant DeokrishnaJAGTAP, PRAMODKrishna, Dinesh
The security of connected health technology is often assumed to exist when it does not, or considered to be prohibitively expensive or complex, or, worst of all, relegated to an afterthought. This is dangerous thinking, especially as the industry increasingly moves to a smartphone-based command-and-control model for these safety-critical applications.
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