Abstract: A system accesses a plurality of ratio values for similar AOIs, each ratio value indicating a ratio between a count of device users at a similar AOI and a count of vehicles of the similar AOI. The similar AOIs are AOIs that have measurable characteristics within a range of similarity with those of the target AOI. The count of vehicles of the similar AOI is generated using aerial imagery received for the similar AOI. The count of device users at the similar AOI is extracted from third party data for the similar AOI. The system accesses a count of a number of reported device users at the target AOI, and generates an estimate of the vehicle count for the target AOI using the count of the number of reported device users at the target AOI and a combination of the plurality of ratio values for similar AOIs.

Abstract: Systems, methods, and storage media for operating a consumer feedback incentive system are disclosed. Exemplary implementations may: transmit one or more incentive offers to one or more computing devices associated with one or more consumers; receive real-time survey feedback data from the one or more computing devices associated with the one or more consumers; and provide a merchant analytics platform to a merchant associated with the one or more incentive offers, the merchant analytics platform including a user interface having a plurality of analytics display sections, the plurality of analytics display sections configured to display one or more representations associated with the real-time survey feedback.

Abstract: Systems, methods, and storage media for operating a consumer feedback incentive system are disclosed. Exemplary implementations may: transmit one or more incentive offers to one or more computing devices associated with one or more consumers; receive real-time survey feedback data from the one or more computing devices associated with the one or more consumers; provide a merchant analytics platform to a merchant associated with the one or more incentive offers, the merchant analytics platform comprising a user interface, wherein the user interface of the merchant analytics platform comprises a plurality of analytics display sections; and receive, via a user interface, one or more comparative representations organized according to selections made by the merchant.

Abstract: Systems, methods, and storage media for operating a wireless device are disclosed. Exemplary implementations may: select a consumer to provide feedback related to one or more transactions associated with the consumer; transmit, for display on a wireless device of the consumer, a survey comprising one or more questions related to the one or more transactions associated with the consumer; select an incentive offer from an incentive offer database; transmit, for display on the wireless device of the consumer, information related to the incentive offer; receive one or more responses to the survey; and fulfil the incentive offer.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Systems, methods, and storage media for improving the efficacy of marketing incentives by leveraging improved response rates and quality of responses to consumer surveys. Exemplary implementations may, among other features: select a consumer to provide feedback related to one or more transactions associated with the consumer and a merchant; transmit an incentive offer to one or more computing devices associated with the consumer; receive real-time survey feedback data from the one or more computing devices associated with the consumers; and transmit a gift incentive offer to one or more computing devices associated with the consumer.

Abstract: An example method comprises receiving historical sensor data of a first time period, the historical data including sensor data of a renewable energy asset, extracting features, performing a unsupervised anomaly detection technique on the historical sensor data to generate first labels associated with the historical sensor data, performing at least one dimensionality reduction technique to generate second labels, combining the first labels and the second labels to generate combined labels, generating one or more models based on supervised machine learning and the combined labels, receiving current sensor data of a second time period, the current sensor data including sensor data of the renewable energy asset, extracting features, applying the one or more models to the extracted features of the current sensor data to create a prediction of a future fault in the renewable energy asset, and generating a report including the prediction of the future fault in the energy asset.

Abstract: Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

Abstract: System and method for monitoring objects of interest including persons in an indoor or outdoor scene with high accuracy, strong privacy protection, high security, low volume data transmission and storage. The system includes: an embedded sensing device with multiple sensors and microprocessor(s) with built-in artificial intelligence as an end unit with parametric outputs, a controller that aggregate parametric outputs from multiple end units with local intelligence and configurable control outputs, and an optional gateway that aggregates multiple controllers output and connect with the network, cloud and/or human interface.

Abstract: A large-scale radio frequency signal information processing and analysis system that provides advanced signal analysis for telecommunication applications, including band capacity and geographical density determinations and detection, classification, identification, and geolocation of signals across a wide range of frequencies and across broad geographical areas. The system may utilize a range of novel algorithms for bin-wise processing, Rayleigh distribution analysis, telecommunication signal classification, receiver anomaly detection, transmitter density estimation, transmitter detection and location, geolocation analysis, telecommunication activity estimation, telecommunication utilization estimation, frequency utilization estimation, and data interpolation.

Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.

Abstract: Magnetic particle actuating systems may include a magnet system configured to generate a magnetic field that includes a field-free region. A corresponding control system can be configured to control the magnet system to create a field-free region at least partially matching a target region. An excitation system can be configured to generate an excitation field to cause actuation of magnetic nanoparticles in an actuation region.

Abstract: A large-scale radio frequency signal collection and processing system comprising a plurality of sensor systems mounted on a plurality of collection platforms that integrates a plurality of overlapping datasets with differing characteristics (e.g., different resolutions, different view angles, different heights, different time periods, unrelated types of data) to generate an enriched dataset or datasets using a variety of processing techniques (e.g., statistical analysis, signal processing, image processing) that allows for more comprehensive analysis of the radio frequency signal landscape than would be possible using any of the datasets individually, or in combination but without such integration.

Abstract: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.

Abstract: A Magnetic Particle Imaging (MPI) system with a magnet configured to generate a magnetic field having a field free line, the system including at least one shim magnet configured to modify the magnetic field in a manner to maintain desired magnetic flux distributions during imaging.

Abstract: A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.

Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.

Abstract: A method for generating a preferred assortment of products that are intended to be offered for sale in a future time period.

Abstract: An example method utilizing different pipelines of a prediction system, comprises receiving failure data, and asset data from SCADA system(s), receiving and dividing historical sensor data from sensors of components of wind turbines into different classes of different lead times, training a set of models to predict faults for each component using the historical sensor data and lead times with a deep neural network, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

Abstract: An example method comprises receiving historical sensor data of a renewable energy asset for a first time period, identifying historical log data in one or more log sources, retrieving dates of the identified historical log data, retrieving sequences of historical sensor data using the dates, training hidden Markov models using the sequences of historical sensor data to identify probability of shifting states of one or more components of the renewable energy asset, receiving current sensor data of a second time period, identifying current log data in the one or more log sources, retrieving dates of the identified current log data, retrieving sequences of current sensor data using the dates, applying the hidden Markov models to the sequences of the current sensor data to assess likelihood of the one or more faults, creating a prediction of a future fault, and generating a report including the prediction of the future fault.