Abstract: Embodiments are described for minimizing a wait time for a rider after sending a ride request for a vehicle. An example computer-implemented method includes receiving a ride request, the request being for travel from a starting location to a zone in a geographic region during a specified timeslot. The method further includes predicting travel demand based on a number of ride requests in the zone during the specified timeslot. The method further includes requesting transport of one or more vehicles to the zone in response to the predicted number of ride requests when the travel demand is predicted to exceed a number of vehicles in the zone during the specified timeslot.

Abstract: Identifying relations between items in transactions. Local conditional frequency pattern trees are generated in processing nodes in a computer system. The nodes in the local conditional frequency pattern trees represent items and a frequency of the items in the transactions. Global conditional frequency pattern trees are generated in the processing nodes. Each processing node in the processing nodes generates a global conditional frequency pattern tree using a set of local conditional frequency pattern trees in the processing node. The global conditional frequency pattern trees generated by the processing nodes are distributed such that each processing node in the processing nodes has the global conditional frequency pattern trees generated by other processing nodes. Patterns are generated by the computer system. A set of rules is generated using the patterns and the global conditional frequency pattern trees in the processing nodes, wherein the set of rules define the relations between the items.

Abstract: The disclosure concerns thermoplastic resin compositions including a polymer resin, a dielectric glass fiber component, a hollow glass fiber, and an impact modifier.

Abstract: Embodiments disclosed herein relate generally to methods for measuring a characteristic of a substrate. In an embodiment, the method includes scanning over the substrate with a scanning probe microscope, the substrate having fins thereon, the scanning obtaining images showing respective fin top regions of the fins, the scanning probe microscope interacting with respective portions of sidewalls of the fins by a scanning probe oscillated during the scanning, selecting images obtained at a predetermined depth below the fin top regions to obtain a line edge profile of the fins, by a processor-based system, analyzing the line edge profile of the fins using power spectral density (PSD) method to obtain spatial frequency data of the line edge profile of the fins, and by the processor-based system, calculating line edge roughness of the fins based on the spatial frequency data.

Abstract: The application discloses a light-emitting device including a carrier, a light-emitting element and a connecting structure. The carrier includes a first connecting portion and a first necking portion extended from the first connecting portion. The first connecting portion has a first width, and the first necking portion has a second width. The second width is less than the first width. The light-emitting element includes a first light-emitting layer being able to emit a first light and a first contacting electrode formed under the first light-emitting layer. The first contacting electrode is corresponded to the first connecting portion. The connecting structure includes a first electrical connecting portion and a protecting portion surrounding the first electrical connecting portion. The first electrical connecting portion is electrically connected to the first connecting portion and the first contacting electrode.

Abstract: Printing techniques for print media are described herein. In an example, a printer includes print head and a feed roller to move a medium under the print head along a print path. The print head includes a first set of nozzles such that the first set of nozzles is proximal to the feed roller. Further, the print head is to print on a Top-of-Form (TOF) of the medium through the first set of nozzles.

Abstract: A method, system, and computer program product, include receiving a plurality of requests for dynamic context information from a plurality of road segments, determining whether the plurality of road segments are included in a same cluster of road segments in a road network generated by clustering road segments in the road network based on connectivity of the road network; and consolidating the plurality of requests to generate a consolidated request in response to determining that the plurality of road segments are included in the same cluster.

Abstract: A human language analyzer receives, at the human language analyzer, text data representing information in a human language. The human language analyzer receives a computer command for identifying a text data component of the text data. The computer command comprises at least two requirements for the text data component. The human language analyzer, responsive to identifying that the first requirement and the second requirement are met, locates the text data component from one of two clauses. A clause analyzer receives a clause request to locate clauses within text data representing information in a human language. The clause analyzer receives, responsive to a dependency request, token information in a token data set. The clause analyzer determines a location for each clause of the sentence portion in a hierarchy of clauses. The clause analyzer generates and outputs a new data set based on the token data set and the hierarchy of clauses.

Abstract: A system for tracking cumulative motor vehicle risk includes a satellite navigation system receiver disposed within a motor vehicle and configured to determine a present location of the motor vehicle. A computer processor receives the determined present location of the motor vehicle from the satellite navigation system receiver and generates a traveled route therefrom. A first computer server receives a plurality of motor vehicle claims records, determines a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generates a motor vehicle accident heat map from the plurality of motor vehicle accident locations. A second computer server determines a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map.

Abstract: A method of generating a predictor to classify data includes: training each of a plurality of first classifiers arranged in a first level on current training data; operating each classifier of the first level on the training data to generate a plurality of predictions; combining the current training data with the predictions to generated new training data; and training each of a plurality of second classifiers arranged in a second level on the new training data. The first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

Abstract: In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.

Abstract: In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.

Abstract: The disclosure concerns thermoplastic resin compositions including a polymer resin, a dielectric glass fiber component, a hollow glass fiber, and an impact modifier.

Abstract: The present invention provides a social network information match-up system. The system receives the request message of the collaboration information to be published from the user end (demand end), and is able to promote the collaboration information of the user end to other user ends using the system. It also help other user end (request end) to publish collaboration information on the exclusive webpage of the user end on the social network website via the system according to the assistance request of the user end (support end).

Abstract: Embodiments of the present disclosure are directed to a universal junction box for solar modules that comprises multiple sub-assemblies with a replaceable diode black and an open-IP plug sub-assembly. The universal junction box includes a first sub-assembly (junction box platform), a second sub-assembly (a replaceable diode block), and a third sub-assembly (an open sub-assembly or plug sub-assembly. If the electronics in the diode block becomes defective, a new replaceable diode block can be used to substitute into the defective diode black without having to replace the entire junction box. The open-IP plug sub-assembly provides the flexibility to couple a variety of cable sub-assembly or IMEs to the universal junction box as long as a particular selected cable sub-assembly fits with the dimension of the open-IP plug sub-assembly.

Abstract: The disclosure involves a method comprising clustering a plurality of observation samples related to historical travel demands into one or more clusters; for each cluster, constructing an actual probability distribution of the historical travel demands corresponding to the observation samples in the cluster; for each cluster, inputting observation samples in the cluster into a prediction model for predicting future travel demands to produce a result of prediction; for each cluster, computing a predicted probability distribution of the historical travel demands corresponding to the observation samples in the cluster based on the result of prediction; for each cluster, evaluating a difference between the actual probability distribution and the predicted probability distribution of the cluster; and modifying the prediction model so that a statistical sum of the differences for the one or more clusters is decreased.

Abstract: A thermoplastic composition includes from 29.9 wt % to 84.9 wt % of a base resin including poly(p-phenylene oxide) (PPO), polystyrene (PS) and an impact modifier; from 15 wt % to 70 wt % of a dielectric filler; and from 0.1 wt % to 10 wt % of an impact promoter including a polycarbonate-siloxane copolymer, a polyolefin-siloxane copolymer, or a combination thereof. The thermoplastic composition has a dielectric constant (Dk) of from 3.0-8.0 between 1 and 5 gigahertz (GHz) and a dissipation factor (Df) of less than 0.003 between 1 and 5 GHz. Articles including the thermoplastic composition, and in particular telecommunications devices, are also described.

Abstract: A system, a computer readable storage medium, and a method for detecting insurance fraud or for comparing references use visual analytics-based techniques. The method can include identifying a scratch and a scratch location on a vehicle in a 3-dimensional rendering in comparison to a base image or in comparison to a stored image in a database, comparing one or more features of the scratch such as color features of the scratch in the scratch location in comparison to the scratch location or comparing one or more texture features of the scratch in the scratch location in comparison to the scratch location in the base image or the stored image. The method can further generate a similarity calculation based on the one or more comparisons for the scratch, the scratch location, the one or more scratch features of the scratch and presents a result in response to the similarity calculation.

Abstract: Embodiments disclosed herein relate generally to methods for measuring a characteristic of a substrate. In an embodiment, the method includes scanning over the substrate with a scanning probe microscope, the substrate having fins thereon, the scanning obtaining images showing respective fin top regions of the fins, the scanning probe microscope interacting with respective portions of sidewalls of the fins by a scanning probe oscillated during the scanning, selecting images obtained at a predetermined depth below the fin top regions to obtain a line edge profile of the fins, by a processor-based system, analyzing the line edge profile of the fins using power spectral density (PSD) method to obtain spatial frequency data of the line edge profile of the fins, and by the processor-based system, calculating line edge roughness of the fins based on the spatial frequency data.