Abstract: Disclosed is a road condition prediction system for vehicles. First, a computing device receives ambient temperature and relative humidity data from a vehicle, the ambient temperature and relative humidity data having been collected by a tire sensor mounted to an exterior of a tire of the vehicle or an exterior of a wheel of the vehicle. Then, the computing device applies a machine-learning model to the temperature and humidity data from the vehicle to predict a road condition for the vehicle. Subsequently, the computing device sends the road condition for the vehicle to a control system of the vehicle.

Abstract: A fluid catalytic cracking process for p-cresol dimer to produce valuable phenolic monomers, i.e., 2-methyl phenol, 4-methyl phenol, 2,3-xylenol, and phenol, uses an equilibrium catalyst (E-cat) generated in the petroleum fluid catalytic cracking (FCC) unit. The p-cresol dimer can be processed under relatively mild conditions, while maximizing desired and minimizing undesired products.

Abstract: An irregular wear detection system for a tire supporting a vehicle includes a sensor unit mounted on the tire. The sensor unit includes a footprint centerline length measurement sensor to measure a centerline length of a footprint of the tire. A processor is in electronic communication with the sensor unit and receives a plurality of measured centerline lengths over time. An analysis module is stored on the processor and receives the measured centerline lengths as inputs. The analysis module detects irregular wear of the tire from the measured footprint centerline lengths. An irregular wear determination is generated by the analysis module when the measured footprint centerline lengths remain the same or increase.

Abstract: Using activity monitored by multiple data sources to identify shadow systems, the method comprising: gathering first information describing access to one or more resources by one or more user devices of a user; gathering, from at least a subset of the one or more user devices, second information describing access to the one or more resources; and identifying one or more shadow systems based on a discrepancy between the first information and the second information.

Abstract: A tire replacement forecasting system includes a tire supporting a vehicle. A sensor unit is mounted on the tire and includes a footprint centerline length measurement sensor and a pressure sensor. A processor is in electronic communication with the sensor unit and receives the measured centerline length and the measured pressure. An electronic vehicle network transmits selected vehicle parameters to the processor. A wear state predictor is stored on the processor and receives the measured centerline length, the measured pressure, and the selected vehicle parameters to generate an estimated wear state of the tire. A forecasting model is stored on the processor and receives multiple estimated wear states of the tire, and predicts future wear states of the tire. A forecast tire replacement date is generated by the forecasting model when the predicted future wear states of the tire are estimated to pass a predetermined wear threshold.

Abstract: This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Abstract: A tire longitudinal stiffness estimation system includes an electronic communication system disposed on a vehicle. A sensor is disposed on the vehicle in communication with the electronic communication system, and a processor is accessible through the electronic communication system. The sensor measures parameters associated with the vehicle and communicates data for the parameters to the processor. A mu slip curve generator receives the parameters to generate a mu slip curve in real time from the data. An extraction module extracts raw data from a linear portion of the mu slip curve. A denoising module de-noises the raw data from the mu slip curve by determining a vector for the raw data, an orientation of the vector, and a heading of the vector. The denoising module generates de-noised data, and a stiffness calculator receives the de-noised data and generates a longitudinal stiffness estimate for the tire.

Abstract: An illustrative method includes generating, based on log data associated with at least one user session in a network environment associated with a user, a logical graph, wherein the logical graph comprises: (1) a first node corresponding to the user, (2) a plurality of additional nodes, and (3) a set of edges connecting the first node to one or more of the additional nodes, wherein each edge in the set of edges represents a change in behavior of the user; using the logical graph to detect an anomaly, wherein detecting the anomaly includes determining that a change has been made to at least one edge included in the set of edges; and generating, in response to detecting the anomaly, an alert.

Abstract: A tire pressure monitoring system includes a first tire mounted on a first end of an axle and a second tire mounted on a second end of the axle. A first sensor is mounted on the first tire for measuring a pressure, and a second sensor is mounted on the second tire for measuring a pressure. The system includes means for transmitting measured pressure data from the first sensor and the second sensor to a processor. A tire pressure model is executed on the processor, and includes an aggregator that accumulates the measured pressure data from the first sensor and the second sensor. A noise filter filters sensor noise and generates filtered pressure data from the measured tire pressure data. A detection module receives the filtered pressure data and determines when a leak occurs in one of the tires. A leak notification is generated when the leak occurs.

Abstract: An illustrative method includes generating a logical graph by performing a clustering operation with respect to log data associated with one or more machines, the clustering operation performed using a first clustering criteria and causing the logical graph to initially include a first set of nodes generated in accordance with relationship requirements of an underlying model and a first set of edges representing communication between nodes included in the first set of nodes; and reclustering, using a second clustering criteria, the logical graph to include, in place of the first set of nodes, a second set of nodes generated while maintaining the relationship requirements of the underlying model and a second set of edges representing communication between nodes included in the second set of nodes.

Abstract: An illustrative method includes determining that a first user login session and a second user login session have a parent-child relationship that indicates that a particular user is associated with both the first and second user login sessions and linking first user login activity performed during the first user login session and second user login activity performed during the second user login session to the user.

Abstract: The present invention relates to a process and system for recycling epoxy thermosets, containing cleavable bonds, said process using an acid solution to dissolve the epoxy thermoset and devolatizing the acid solution from a thermoplastic acidic mixture to produce the thermoplastic component. The process allows recovery of a recyclable thermoplastic component and optionally a recyclable reinforcement matrix component. The process comprising dissolving the epoxy thermoset in an acid solution under heated conditions resulting in a thermoplastic mixture; optionally filtering the thermoplastic mixture to separate out a reinforcement matrix component from a thermoplastic solution; and devolatizing the thermoplastic solution to obtain a recyclable thermoplastic component.

Abstract: A system for real-time determination of calibration of an inertial measurement unit includes an inertial measurement unit and a processor in electronic communication with the inertial measurement unit. A road mapping module receives a vehicle latitude and a vehicle longitude, and determines a virtual heading angle of a vehicle. A virtual acceleration module receives the virtual heading angle of the vehicle, and a measured vehicle speed and heading angle, and estimates a virtual lateral acceleration and a virtual longitudinal acceleration. A correlation module receives the virtual lateral acceleration, the virtual longitudinal acceleration, a calibrated measured lateral acceleration, and a calibrated measured longitudinal acceleration. The correlation module determines a correlation between the virtual lateral acceleration and the calibrated measured lateral acceleration, and between the virtual longitudinal acceleration and the calibrated measured longitudinal acceleration.

Abstract: A system for estimation of a depth of a tread of a tire supporting a vehicle includes a processor in electronic communication with an electronic control system of the vehicle. A wheel speed signal processing module is in electronic communication with the processor, receives measured wheel speed signals, and generates processed wheel speed signals from the measured wheel speed signals. A Fast Fourier Transform computation module receives the processed wheel speed signals and generates a Fast Fourier Transform curve. A summation module selects a predefined range of the Fast Fourier Transform curve, generates a reference curve from the predefined range of the Fast Fourier Transform curve, and determines a sum of residuals between a real-time Fast Fourier Transform curve and the reference curve. A regression model determines an estimate of tire tread depth from the sum of residuals.

Abstract: A system for estimating the remaining mileage on a tire that supports vehicle includes a processor in electronic communication with an electronic control system of the vehicle. A calibration module determines a wear rate of the tire, and the wear rate of the tire is communicated to the processor. A severity assessment module is in electronic communication with the processor, receives real-time inputs, and generates a real-time driving severity number. A mileage estimation module is in electronic communication with the processor and determines a current wear state of the tire. The mileage estimation module generates an estimate of remaining mileage on the tire from the wear rate of the tire, the real-time driving severity number, and the current wear state of the tire.

Abstract: A tire rolling resistance estimation system estimates a real-time rolling resistance coefficient of a tire, and includes a tire sensor unit that measures a tire inflation pressure and a tire temperature. A processor is in electronic communication with the tire sensor unit. A steady state coefficient determination module in communication with the processor determines a steady state rolling resistance coefficient of the tire. A steady state tire temperature module in communication with the processor receives the steady state rolling resistance coefficient of the tire and estimates a steady state tire temperature of the tire. A real-time rolling resistance coefficient module in communication with the processor receives the steady state tire temperature of the tire and estimates a real-time rolling resistance coefficient of the tire from the steady state rolling resistance coefficient and a difference between the steady state tire temperature and a current tire temperature from the tire sensor unit.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: A tire pressure monitoring system monitors the pressure in at least one tire supporting a vehicle. The system includes at least one sensor mounted on the tire for measuring a pressure and a temperature of the tire. Transmission means transmit the measured pressure data and temperature data to a processor, and a tire pressure model is executed on the processor. The tire pressure model includes a driving event extractor to extract cold pressure data from the measured pressure data, and a temperature compensator to generate a compensated cold tire pressure from the cold pressure data. A noise filter filters sensor noise and generates a filtered cold tire pressure from the compensated cold tire pressure. A detection module receives the filtered cold tire pressure and determines an air pressure leak rate of the tire, and a leak notification corresponding to the air pressure leak rate is generated.

Abstract: A tire wear state estimation system includes a first sensor unit that is mounted on a tire and includes a footprint centerline length measurement sensor. A second sensor unit is mounted on the tire and includes a shoulder length measurement sensor. At least one of the first sensor unit and the second sensor unit includes a pressure sensor, a temperature sensor, and electronic memory capacity for storing tire identification information. A processor is in electronic communication with the sensor units and receives the measured centerline length, the measured pressure, the measured temperature, the identification information, and the measured shoulder length. The identification information is correlated to tire construction data. An analysis module stored on the processor receives the measured values, the identification information, and the tire construction data as inputs. The analysis module includes a prediction model that generates an estimated wear state for the tire from the inputs.

Abstract: An auto-location system locates a position of a tire. A tire sensor unit is mounted on the tire and measures a length of a footprint of the tire, and electronic memory capacity stores identification information for the tire sensor unit. A vehicle sensor unit is mounted on the vehicle and measures a lateral acceleration and a longitudinal acceleration. A processor is in electronic communication with the tire sensor unit and the vehicle sensor unit, and receives the measured footprint length, the identification information, the lateral acceleration, and the longitudinal acceleration. A virtual footprint length estimator employs the lateral acceleration and the longitudinal acceleration to estimate a virtual footprint length of the tire. A correlation module receives the virtual footprint length and the measured footprint length to generate correlation values. A decision arbitrator applies a set of decision rules to the correlation values to generate a wheel position indication.