Abstract: A tire wear state estimation system includes a CAN bus system disposed on a vehicle. A tire supporting the vehicle is mounted on a wheel. A wheel sensor unit is mounted on a structure adjacent the wheel, and the wheel sensor unit includes a longitudinal acceleration sensor to generate a longitudinal acceleration signal. The wheel sensor unit also includes a vertical acceleration sensor to generate a vertical acceleration signal, and transmission means to communicate the longitudinal acceleration signal and the vertical acceleration signal to the CAN bus system. A processor receives the longitudinal acceleration signal and the vertical acceleration signal. An extractor extracts a tire translational mode from the longitudinal acceleration signal and a tire vertical mode from the vertical acceleration signal. The tire translational mode and the tire vertical mode are input into a classifier to generate a wear state estimation for the tire. A method is also provided.

Abstract: A tire load estimation system includes at least one tire supporting a vehicle, in which the at least one tire includes a pair of sidewalls extending to a circumferential tread. A sensor is mounted to the at least one tire. A footprint is formed by the tread and includes a centerline with a footprint centerline length. The footprint centerline length is measured by the sensor. A tire load estimator receives a precalibrated sensitivity, the footprint centerline length during straight-line driving conditions, a reference footprint value, and a reference load value as inputs. The tire load estimator determines an estimation of tire load and outputs the estimation to at least one of a vehicle control system and a vehicle electronic control unit. A method for estimating the load of a tire is also provided.

Abstract: A tire wear state estimation system includes at least one sensor disposed on a vehicle and a CAN bus system. The sensor measures selected parameters associated with the vehicle and communicates data for the selected parameters through the CAN bus system, including a first set of data, a second set of data and a third set of data. A rolling radius estimator receives the first set of data and estimates a rolling radius for the tire. An acceleration slip estimator receives the second set of data and the estimated rolling radius to estimate the slip of the tire during acceleration. A braking slip estimator receives the third set of data and the estimated rolling radius to estimate the slip of the tire during braking. A tire slip analyzer correlates the acceleration slip estimation and the braking slip estimation and generates an estimated wear state of the tire.

Abstract: A system and method are provided for driving assistance. The system includes an image capture device configured to capture a video sequence, relative to an outward view from a vehicle, which includes a set of objects and is formed from a set of image frames. The system includes a processor configured to detect the objects to form a set of object detections, and track the set of object detections over the frames to form tracked detections. The processor is configured to generate for a current frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is configured to perform an action to mitigate a likelihood of potential harmful due to a current object location.

Abstract: Network activity data is received, for example, from a set of agents reporting collectively information about a set of hosts. The received network activity data is used to identify a user login activity. A logical graph that links the user login activity to at least one user and at least one process is generated.

Abstract: Log data associated with at least one user session associated with an original user is received. A logical graph is generated using at least a portion of the received log data. One example of such a logical graph is a privilege change graph that models privilege changes between processes. Another example of such a logical graph is a user login graph that models machines with which the original user interacts. Another example of such a logical graph is a machine-server graph that clusters machines into nodes based on resources executing on the machine. The generated logical graph is used to detect an anomaly. The detected anomaly is recorded.

Abstract: An assembly determines operating parameters of a tire. The assembly includes a tripod sensor mounted within an inner cavity of the tire underneath a crown portion and an innerliner on which the tripod sensor is mounted. The tripod sensor includes a tri-axial accelerometer for creating a circumferential signal for determining slip ratio, a lateral signal for determining a slip angle, and a radial signal for determining load on the tire.

Abstract: A system and method are provided. The system includes an image capture device configured to capture a video sequence formed from a set of input image frames and including a set of objects. The system further includes a processor configured to detect the objects to form object detections and track the object detections over the input frames to form tracked detections. The processor is also configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous input frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the set of sparse object proposals.

Abstract: An action recognition system and method are provided. The system includes an image capture device configured to capture a video sequence formed from image frames and depicting a set of objects. The system includes a processor configured to detect the objects to form object detections. The processor is configured to track the object detections over the frames to form tracked detections. The processor is configured to generate for a current frame, responsive to conditions, sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is configured to control a hardware device to perform a response action in response to an identification of an action type of an action performed by the object, the identification being based on the sparse object proposals.

Abstract: A surveillance system and method are provided. The surveillance system includes an image capture device configured to capture a video sequence of a target area that includes a set of objects and is formed from a set of image frames. The surveillance system also includes a processor. The processor is configured to detect the objects to form object detections, and track the object detections over the frames to form tracked detections. The processor is further configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the sparse object proposals.

Abstract: Disclosed is a method of removing organic acids from crude oil using a gas hydrate inhibitor and a catalyst in crude oil production facilities or oil-refining facilities, in which organic acids can be removed from crude oil by reacting the crude oil with mono-ethylene glycol (MEG), di-ethylene glycol (DEG), tri-ethylene glycol (TEG), methanol or derivatives thereof, as a gas hydrate inhibitor in the presence of a tungstophosphoric acid (TPA) catalyst, whereby the acidity of the crude oil can be lowered by 93% or more, and no catalyst deactivation occurs because magnesium (Mg)-based catalysts are not used. Furthermore, a continuous process is achieved in such a manner that the gas hydrate inhibitor and the catalyst are not discarded but are collected from the crude oil from which organic acids have been removed, and are thus recycled, thereby realizing environmentally friendly, economical and efficient removal of organic acids from crude oil.

Abstract: A system and method of estimating a load bearing on a vehicle tire includes an inflation pressure measuring sensor for measuring an inflation pressure level within a tire cavity; a contact patch length sensor measuring the rolling contact patch length of the tire; a tire rolling speed sensor measuring a rolling speed of the tire; and a tire wear state estimation calculator estimating a tire wear state of a tread of the tire. An artificial neural network estimates a tire load from the contact patch length, the inflation pressure level, and the tire rolling speed by utilizing as a compensation factor input the estimated tire wear state.

Abstract: A method and system detects actions of an object in a scene by first acquiring a video of the scene as a sequence of images, wherein each image includes pixels, wherein the video is partitioned into chunks. The object in the video is tracked. For each object and each chunk of the video, trajectories of the pixels within a bounding box located over the object are tracked, and cropped trajectories and cropped images for one or more images in the chunk are produced using the bounding box. Then, the cropped trajectories and cropped images are passed to a recurrent neural network (RNN) that outputs a relative score for each action of interest.

Abstract: A tire wear state estimation system includes at least one sensor disposed on a vehicle and a CAN bus system. The sensor measures selected parameters associated with the vehicle and communicates data for the selected parameters through the CAN bus system, including a first set of data, a second set of data and a third set of data. A rolling radius estimator receives the first set of data and estimates a rolling radius for the tire. An acceleration slip estimator receives the second set of data and the estimated rolling radius to estimate the slip of the tire during acceleration. A braking slip estimator receives the third set of data and the estimated rolling radius to estimate the slip of the tire during braking. A tire slip analyzer correlates the acceleration slip estimation and the braking slip estimation and generates an estimated wear state of the tire.

Abstract: A tire wear estimation system is provided. The system includes at least one tire that supports a vehicle. At least one sensor is affixed to the tire to generate a first predictor. A lookup table or a database stores data for a second predictor. One of the predictors includes at least one vehicle effect. A model receives the predictors and generates an estimated wear rate for the at least one tire.

Abstract: The high efficiency motor employing the principle of three phase induction motor and permanent magnet synchronous motor includes a stator assembly and a rotor assembly. The rotor assembly includes a rotor shaft, a rotor stack assembly, a rotor cover and end ring. The rotor stack assembly includes a stamping stack, a conductor bar and a magnet. The stamping stack has dedicated slots for the conductor bar and the magnet. The rotor cover is fitted on the rotor stack, wherein both axial ends of the rotor cover are closed by end rings.

Abstract: A system and method estimating a vehicle tire load identifies a change in vehicle loading condition by measuring vibration resonant frequency peaks (bounce mode and/or pitch mode) of the unsprung mass. Signals required include the chassis vertical acceleration and/or chassis pitch rate obtained from commercially available sensors mounted to the vehicle. An observer model receives the inertial signal(s) and generates a dynamic load estimation based upon observed frequency change in the sprung mass natural frequency.

Abstract: Disclosed is a method of removing organic acids from crude oil using a gas hydrate inhibitor and a catalyst in crude oil production facilities or oil-refining facilities, in which organic acids can be removed from crude oil by reacting the crude oil with mono-ethylene glycol (MEG), di-ethylene glycol (DEG), tri-ethylene glycol (TEG), methanol or derivatives thereof, as a gas hydrate inhibitor in the presence of a tungstophosphoric acid (TPA) catalyst, whereby the acidity of the crude oil can be lowered by 93% or more, and no catalyst deactivation occurs because magnesium (Mg)-based catalysts are not used. Furthermore, a continuous process is achieved in such a manner that the gas hydrate inhibitor and the catalyst are not discarded but are collected from the crude oil from which organic acids have been removed, and are thus recycled, thereby realizing environmentally friendly, economical and efficient removal of organic acids from crude oil.

Abstract: A vehicle state estimation system and method uses an observer model to make cornering stiffness estimates from tire-based sensor data and vehicle-based sensor data throughout transient and non-transient operational maneuvers of a vehicle. A cornering stiffness identifier extracts transient-state cornering stiffness estimates from the cornering stiffness estimates made by the observer model and extracts from the transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure for use by a vehicle control system.

Abstract: The invention relates generally to tire monitoring systems for collecting measured tire parameter data during vehicle operation and, more particularly, to a system and method for estimating tire wear state and inflation pressure based upon such measurements.