Abstract: Estimating fuel consumptions of a vehicle is disclosed. A first fuel consumption value in a first time interval is estimated using fuel-sender resistance data. A second fuel consumption value in a second time interval is estimated using fuel-injected mass data. At least the first fuel consumption value and the second fuel consumption value are combined to obtain a fuel consumption value. The fuel consumption value is then output.

Abstract: A tire tread depth estimation system for a vehicle includes a light source, a camera, an electronic controller, and a display. The light source is configured to emit light onto a surface of a vehicle tire. The camera is configured to capture an image of the surface of the vehicle tire. The electronic controller is connected to the light source and to the camera. The controller is configured to estimate a depth of a tire tread of the vehicle tire based on the image received from the camera. The display is configured to display the estimated tire tread depth.

Abstract: An engine malfunction determination system includes a vehicle engine, an engine sensor system, an engine control module and an electronic display device. The engine sensor system has at least one sensor configured to detect an operation condition of the vehicle engine. The engine control module is in electrical communication with the sensor system to receive a detection signal from the engine sensor system regarding the operation condition of the vehicle engine. The engine control module is programmed to determine an anomaly in the detection signal. The electronic display device is programmed to display an indication of engine malfunction when the engine control module determines that the anomaly in the detection signal exceeds a predetermined threshold.

Abstract: A brake pad dimension estimation system includes a detecting device and an electronic controller. The detecting device is configured to obtain dimensional information from an image of a brake pad assembly. The electronic controller is in electronic communication with the detecting device to receive the dimensional information from the image of the brake pad assembly. The electronic controller is programmed to determine a dimension of the brake pad based on the image.

Abstract: Example methods are provided for configuring a hyper-converged infrastructure (HCI) cluster managed by a cluster manager. The method may comprise retrieving, by a workflow session from the cluster manager. The workflow session may include a plurality of workflow operations, and a first workflow operation selected from the plurality of workflow operations is marked as incomplete. The method may transmit o the cluster manager a request to invoke the first workflow operation. The cluster manager may be configured to perform the first workflow operation by batch-configuring a plurality of nodes in the HCI cluster. In response to a determination that the first workflow operation is completed, the method may request the cluster manager to mark the first work operation in the workflow session as completed.

Abstract: Estimating fuel consumptions of a vehicle is disclosed. A first fuel consumption value in a first time interval is estimated using fuel-sender resistance data. A second fuel consumption value in a second time interval is estimated using fuel-injected mass data. At least the first fuel consumption value and the second fuel consumption value are combined to obtain a fuel consumption value. The fuel consumption value is then output.

Abstract: Various embodiments of the present application set forth a computer-implemented method for accessing data comprising determining a manifest associated with a given user of an application, where the manifest identifies one or more assets that are accessible by the given user, for each of the one or more assets, one of a plurality of endpoint stores that stores data associated with the asset, and for each of the one or more assets, one of the plurality of endpoint stores that stores metadata associated with the asset, generating, based on the manifest, a user namespace that includes a unique reference for each of the one or more assets, and presenting the user namespace to the user.

Abstract: Estimating a fuel consumption includes receiving a request for estimating the fuel consumption between a first time and a second time; estimating a first fuel consumption value in a first time interval using fuel-sender resistance data; estimating a second fuel consumption value in a second time interval using fuel-injected mass data, where the first time interval and the second time interval are consecutive, non-overlapping intervals; and combining at least the first fuel consumption value and the second fuel consumption value to obtain a fuel consumption value.

Abstract: Systems and methods for predicting component failure in a vehicle and alerting a driver based thereon. In an embodiment, the method includes receiving sensor data from at least one vehicle sensor over a period of time, processing the sensor data using a predictive model to detect an anomaly indicative of an upcoming component failure, determining a severity of the upcoming component failure based on at least one operating characteristic of the vehicle, and providing an alert to the driver of the vehicle regarding the severity of the upcoming component failure.

Abstract: A system and method of displaying advertising content includes transmitting data associated with a vehicle to a data center. An advertisement is generated based on the transmitted data. The advertisement is transmitted to the vehicle. An evaluation period is determined during which the advertisement is prevented from being displayed. The advertisement is displayed on a display of an in-vehicle infotainment system following the evaluation period.

Abstract: Estimating a fuel consumption includes receiving a request for estimating the fuel consumption between a first time and a second time; estimating a first fuel consumption value in a first time interval using fuel-sender resistance data; estimating a second fuel consumption value in a second time interval using fuel-injected mass data, where the first time interval and the second time interval are consecutive, non-overlapping intervals; and combining at least the first fuel consumption value and the second fuel consumption value to obtain a fuel consumption value.

Abstract: A system is disclosed for use in inspecting a vehicle's air filter. The system includes a receptacle defining an enclosed interior space that is configured to receive the air filter, and a light source that is positioned within the receptacle. The receptacle includes an upper wall with an aperture that is arranged in generally parallel relation to the air filter, and the light source is configured to support the air filter such that the light source backlights the air filter to facilitate capture of an image of the air filter through the aperture in the upper wall of the receptacle.

Abstract: A system is disclosed for use in inspecting a vehicle's air filter. The system includes a receptacle defining an enclosed interior space that is configured to receive the air filter, and a light source that is positioned within the receptacle. The receptacle includes an upper wall with an aperture that is arranged in generally parallel relation to the air filter, and the light source is configured to support the air filter such that the light source backlights the air filter to facilitate capture of an image of the air filter through the aperture in the upper wall of the receptacle.

Abstract: A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.

Abstract: A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.

Abstract: Systems, methods, and non-transitory computer readable storage media are described. A system comprises a memory and a processor that executes instructions stored in the memory to receive user data from a computing system operating a multi-user online platform. The user data indicates an exposure of a user of the multi-user online platform to first media content. The processor executes further instructions to receive vehicle data from a plurality of vehicles. The vehicle data indicates use of the plurality of vehicles by a plurality of operators. The processor executes further instructions to determine media content selection parameters by combining the user data and the vehicle, to select second media content using the media content selection parameters, and to transmit a message including the second media content to the computing system to cause an exposure of the user to the second media content.

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized.

Abstract: An electronic file migration system that analyzes data and migrate qualifying files from a source file system to another or cloud file system. The system can infer access times of the files from create and modify times. The system copies “qualifying” (e.g. aged under a probationary period) files from a source file system to a cloud file system or other storage system, and substitutes them with symbolic links or stubs to the target copies. The system may provide seamlessly-automated and interoperable data archiving, backups, transfers, analytics, and optimizations in an organization. In addition, it may also be desirable to devise a novel electronic file migration system for a third-party service provider to seamlessly process, manage, optimize, and analyze data archiving, backups, and transfers in a client organization.

Abstract: A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as an artificial neural network based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.

Abstract: A method for managing a cache memory network is disclosed. The method comprises estimating the popularity of a piece of data content according to an extreme learning machine, and managing the cache memory network according to the estimated popularity of the piece of data content. Estimation may be performed upon a request for the piece of data content, and may be accordingly cashed into an appropriate cache memory device upon estimation of its popularity.