Abstract: A method for facilitating automated enforcement of a data publication and usage contract is provided. The method includes capturing a data contract from data that is published by a data service provider, the data contract including a data contract element; converting the captured data contract into a predetermined file format; retrieving metadata that correspond to the data, the metadata including usage information that relates to a consumption of the data by a data consumer; validating the retrieved metadata based on the converted data contract; and automatically initiating an enforcement action based on a result of the validating.

Abstract: Rare earth (RE) superhydrides exhibit high temperature superconductivity but are difficult to characterize and use in applications due to their high formation and stability pressures, which are typically in excess of 100 GPa. Cryomilling of metal precursors improves hydrogen reactivity and hydrogen uptake for forming such metal hydrides at lower pressures. As an example, an elemental lanthanum precursor was milled at liquid nitrogen temperatures for different time intervals. After exposure to gaseous hydrogen at 380° C. and 100 bar, a systematic enhancement of hydrogen absorption with increasing ball milling time was found for forming the LaHx, x=2-3 phase. Exposing the La precursor to pressures up to 60 GPa with an ammonia borane (BNH6) hydrogen source resulted in a hypervalent LaH4 phase. This LaH4 phase is associated with the suppression of a rhombohedral distortion of the Fm3m cubic structure after cryomilling the precursor.

Abstract: A method for facilitating serialized data interchange and access via an application programming interface is provided. The method includes retrieving a data set from a networked repository, the data set including information in a multidimensional data structure; mapping the data set to a predetermined file format; generating a standardized data set based on a result of the mapping, the standardized data set corresponding to the predetermined file format; persisting the standardized data set in the networked repository; and exposing the standardized data set in the networked repository via the application programming interface.

Abstract: A nanoscale bolometer for infrared (IR) thermal imaging comprises a subwavelength antenna that provides a specific detectivity approaching a fundamental, thermodynamic limit. The uncooled nanobolometer achieves performance comparable to cooled, high-performance, semiconductor photodetectors, but with significantly reduced size, weight, power, and cost.

Abstract: A method for facilitating serialized data interchange and access via an application programming interface is provided. The method includes retrieving a data set from a networked repository, the data set including information in a multidimensional data structure; mapping the data set to a predetermined file format; generating a standardized data set based on a result of the mapping, the standardized data set corresponding to the predetermined file format; persisting the standardized data set in the networked repository; and exposing the standardized data set in the networked repository via the application programming interface.

Abstract: A method for facilitating automated enforcement of a data publication and usage contract is provided. The method includes capturing a data contract from data that is published by a data service provider, the data contract including a data contract element; converting the captured data contract into a predetermined file format; retrieving metadata that correspond to the data, the metadata including usage information that relates to a consumption of the data by a data consumer; validating the retrieved metadata based on the converted data contract; and automatically initiating an enforcement action based on a result of the validating.

Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.

Abstract: A method and a system for predicting traffic conditions of a geographical area are provided. Position information, received from devices of corresponding vehicles that are traversing between road segments of a road network including at least first and second road segments, is located on a directed graph of the road network. Further, first and second times are determined based on the located position information on the directed graph. A traffic time of the first road segment is determined based on an average of time differences of the first and second times of each of the one or more first vehicles after filtering out a time period between the first and second times. The traffic conditions of the road network are predicted based on the determined traffic time of each of the road segments.

Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.

Abstract: An apparatus for making in-situ electrical measurements of a sample while the sample is subjected to a temperature gradient between a first side of the sample and a second side of the sample. The apparatus comprises a first heater and a second heater that are positioned in contact with the first side of the sample and the second side of the sample, respectively. The first heater and the second heater comprise respective faces that each have electrical contacts embedded therein. Electrical measurements pertaining to the sample can be made by way of the electrical contacts embedded in the faces. A temperature at either side of the sample can be monitored by way of thermocouples positioned inside the heaters in proximity to the faces of the heaters.

Abstract: A method and a system for predicting traffic conditions of a geographical area are provided. Position information, received from devices of corresponding vehicles that are traversing between road segments of a road network including at least first and second road segments, is located on a directed graph of the road network. Further, first and second times are determined based on the located position information on the directed graph. A traffic time of the first road segment is determined based on an average of time differences of the first and second times of each of the one or more first vehicles after filtering out a time period between the first and second times. The traffic conditions of the road network are predicted based on the determined traffic time of each of the road segments.

Abstract: A method and a system for location clustering for a transportation service are provided. A plurality of locations are clustered into a plurality of clusters, each having one or more locations of the plurality of locations. A graph is generated by connecting the plurality of clusters. A first cluster of the plurality of clusters is connected to one or more second clusters of the plurality of clusters that satisfy one or more threshold parameters. The graph is segmented into a plurality of fully-connected maximal sub-graphs based on one or more connections between the plurality of clusters. One or more fully-connected maximal sub-graphs of the plurality of fully-connected maximal sub-graphs have a set of common clusters. The plurality of fully-connected maximal sub-graphs are used for performing one or more transportation service operations of the transportation service.

Abstract: A method and a system for predicting traffic conditions of a geographical area are provided. A directed graph of a road network of the geographical area is generated. Position information, received from devices of corresponding vehicles that are traversing between road segments including at least first and second road segments, is located on the generated directed graph. Further, first and second times are determined based on the located position information on the generated directed graph. A traffic time of the first road segment is determined based on an average of time differences of the first and second times of each of the one or more first vehicles after filtering out a time period between the first and second times. The traffic conditions of the road network are predicted based on the determined traffic time of each of the road segments.

Abstract: A circuit or associated system or method comprises a first driver including a first transistor bank and a first resistor connected in series between a first predetermined voltage and an output pad, the first transistor bank including a first driver transistor and a plurality of first calibration transistors, wherein the plurality of first calibration transistors are respectively controlled based on a combination of bits of a first calibration code and on an output of at least one first logic gate.

Abstract: The present invention provides a forecasting engine with the ability to minimize prediction error in a preferred direction. It comprises of a receiver configured to receive training data samples. In addition, the forecasting engine includes a building module configured to build a base learner model from the training data samples. In addition, the forecasting engine includes a custom error function that emphasizes prediction error along a pre-configured direction. In addition, the forecasting engine includes an error determination module configured to determine the prediction error made by the base learner model. In addition, the forecasting engine includes an error minimization module configured to construct a new model that has lesser prediction error than the base learner model, where prediction error is as defined by the custom error function.

Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.

Abstract: A circuit or associated system or method comprises a first driver including a first transistor bank and a first resistor connected in series between a first predetermined voltage and an output pad, the first transistor bank including a first driver transistor and a plurality of first calibration transistors, wherein the plurality of first calibration transistors are respectively controlled based on a combination of bits of a first calibration code and on an output of at least one first logic gate.

Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.

Abstract: A method and a system for predicting traffic conditions of a geographical area are provided. A directed graph of a road network of the geographical area is generated. Position information, received from devices of corresponding vehicles that are traversing between road segments including at least first and second road segments, is located on the generated directed graph. Further, first and second times are determined based on the located position information on the generated directed graph. A traffic time of the first road segment is determined based on an average of time differences of the first and second times of each of the one or more first vehicles after filtering out a time period between the first and second times. The traffic conditions of the road network are predicted based on the determined traffic time of each of the road segments.

Abstract: A method and a system for location clustering for a transportation service are provided. A plurality of locations are clustered into a plurality of clusters, each having one or more locations of the plurality of locations. A graph is generated by connecting the plurality of clusters. A first cluster of the plurality of clusters is connected to one or more second clusters of the plurality of clusters that satisfy one or more threshold parameters. The graph is segmented into a plurality of fully-connected maximal sub-graphs based on one or more connections between the plurality of clusters. One or more fully-connected maximal sub-graphs of the plurality of fully-connected maximal sub-graphs have a set of common clusters. The plurality of fully-connected maximal sub-graphs are used for performing one or more transportation service operations of the transportation service.