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Taint Propagation in Automotive's Information

IP.com Disclosure Number: IPCOM000214643D
Publication Date: 2012-Feb-01
Document File: 4 page(s) / 136K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is to identify the root causes when they aggregate the aberrant value that the vehicle probes. The invention adopts the three factors, the Component Configuration in the vehicle, the Environmental Condition outside the vehicle and Driver’s Behavior to define the approximated value, because it has been challenging to judge what is the aberrant value to leverage the single factor. The invention defines the following meanings. Vehicle Configuration is targeted all components manufactured inside the vehicle. Probed data is the vehicle ID, driver’s information, weather condition, traffic condition, and vehicle configuration. The invention clarifies the root cause whether depends on the single component or on multiple conditions to leverage three factors. It realizes the real time analytics when the aberrant value is probed.

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Taint Propagation in Automotive 's Information

Disclosed is to identify the root causes when they aggregate the aberrant value that the vehicle probes. The invention adopts the three factors, the Component Configuration in the vehicle, the Environmental Condition outside the vehicle and Driver's Behavior to define the approximated value, because it has been challenging to judge what is the aberrant value to leverage the single factor.

The invention defines the following meanings.

Vehicle Configuration is targeted all components manufactured inside the vehicle. Probed data is the vehicle ID, driver's information, weather condition, traffic condition, and vehicle configuration.

The invention clarifies the root cause whether depends on the single component or on multiple conditions to leverage three factors. It realizes the real time analytics when the aberrant value is probed.

Background/ Motivation


The measurement metrics is required to evaluate the "correct value" of aggregated data from the cars in order to make effective use for the future business analytics. Because there is no concrete metrics so far, it may cause the uncertain diagnosis when the aberrant or normal value is probed. There is no method and invention to assure the quality of data aggregated from the cars, but it realizes to serve more correct data for the business analyst with request to the specified condition.

It is challenging to detect the vehicle's configuration and status in real time, so the automotive company can't advice the drivers at just the right time to check and replace their component...