Abstract: An interconnection unit includes a first connector configured to be coupled to an electronic device. There is a second connector configured to be coupled to a power station and to provide a path to the electronic device via the first connector. There is a low pass filter coupled between the first connector and the second connector and configured to allow the electronic device to receive power from the power station while maintaining data security of the electronic device.

Abstract: A method for determining an object referenced within a set of one or more informal online communications comprises: generating a knowledge graph for a company based at least on formal online communications, the knowledge graph comprising a plurality of node elements, and the knowledge graph further comprising, for each node element of the knowledge graph, a corresponding halo comprising one or more words which are temporally proximate to that node element within the formal online communications; for each node element of the knowledge graph which is determined to be present in a given informal online communication, detecting a halo comprising one or more words which are temporally proximate to that node element within the given informal online communication; and identifying which of the plurality of node elements has a corresponding halo within the knowledge graph most similar to the detected halo, wherein the identified node element is the referenced object.

Abstract: According to one embodiment, a method, computer system, and computer program product for cognitive digital risk analysis is provided. The present invention may include receiving telematics data; receiving road network and weather data; generating one or more customer behavior profiles based on the telematics data and the road network and weather data; receiving historical claims data; training, using the historical claims data and features of the customer behavior profile, a risk scoring engine; and producing, by the risk scoring engine, an assessment of the risk of loss posed by one or more drivers.

Abstract: A method for partitioning a database includes obtaining business dependency between data in a plurality of tables in the database on the basis of a business process associated with the database; generating, on the basis of the business dependency, a dependency graph describing a dependency relationship between the plurality of tables; cutting the dependency graph into at least two sub-graphs; and vertically partitioning the database into at least two parts corresponding to the at least two sub-graphs respectively.

Abstract: Embodiments of the present invention provide efficient and dynamic systems and methods for building a hybrid road network and grid based spatial temporal index to handle big trajectory data. Embodiments of the present invention can be used to satisfy the issue of low indexing and compression rate of big trajectory data, and to improve the efficiency of index queries, while also providing a mechanism to account for missing road links in a map.

Abstract: Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.

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 and apparatus for estimating a wave velocity of negative pressure wave in a fluid transportation pipeline. The method including: receiving a plurality of pressure signals from a plurality of sensors; determining time differences produced by the negative pressure wave reaching the adjacent sensors based on the received pressure signals; determining a wave source sensor segment where a wave source of the negative pressure wave is located; and estimating the wave velocities of the negative pressure wave in a non-wave source sensor segment and the wave source sensor segment.

Abstract: A method to train a machine learning model for in-vehicle air quality control in a knowledge-based system, executed by one or more computer processors, includes collecting data related to in-vehicle air quality from a plurality of probe cars where the data is collected by various on-board systems in each probe car. The method includes correlating the data related to in-vehicle air quality from each probe car with air quality measurements from each probe car, where the correlation is used to update the machine learning model. The method includes determining a situation when an in-vehicle air quality measurement of the air quality measurements is above a pre-determined in-vehicle air quality level and determining instructions for actions by one or more of the one or more on-board systems in each of the probe cars to maintain an in-vehicle air quality level at or below the pre-determined in-vehicle air quality level.

Abstract: The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

Abstract: The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

Abstract: A method for partitioning a database includes obtaining business dependency between data in a plurality of tables in the database on the basis of a business process associated with the database; generating, on the basis of the business dependency, a dependency graph describing a dependency relationship between the plurality of tables; cutting the dependency graph into at least two sub-graphs; and vertically partitioning the database into at least two parts corresponding to the at least two sub-graphs respectively.

Abstract: The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

Abstract: A method of determining a remediation action includes detecting an acoustic event in a vehicle, detecting an environmental condition in the vehicle, detecting a respiratory disease symptom of a passenger in the vehicle based on the detected acoustic event, correlating the detected respiratory disease symptom with the environmental condition in the vehicle, and determining a remediation action for the detected respiratory disease symptom.

Abstract: The present disclosure relates to a computer program product for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

Abstract: A method according to the present invention includes predicting a vehicular route. GPS data of a vehicle's position on a road network is received. A digital map representing the road network is received. The digital map includes a plurality of partitioned regions. Each of the partitioned regions includes a plurality of geographic nodes. A starting node is selected. At least one partitioned region is selected based on a predetermined travel-time horizon of the vehicle from the starting node. Route simulation is performed between the plurality of geographic nodes of the selected at least one partitioned region and a plurality of potential future routes is generated. An actual route of the vehicle is detected. The actual route of the vehicle is compared with the plurality of potential future routes. A probability of the vehicle traveling along each potential future route is determined. A future route of the vehicle is predicted.

Abstract: Embodiments of the present invention provide information processing systems and methods for proliferating testing data based on sample testing data. In one embodiment, a difference is determined by comparing a desired query result to a query result acquired by executing a query statement on sample testing data. Sample testing data can then be proliferated based, at least in part, on the difference and data generation constraint conditions.

Abstract: A method and system obtaining positioning data from an object traveling on a plurality of routes; mapping the data into a plurality of points on a digital map; identifying points that are unmatched to the stored route trajectory; obtaining candidate transition points from the unmatched points; aggregating the candidate transition points by applying a clustering algorithm; selecting a first cluster of points and a plurality of second clusters of points, determining a confidence level that the first cluster of points are transition points indicating a transition between the routes, classifying the first cluster of points as a first plurality of traveling points having a first direction in response to the confidence being below a threshold confidence and automatically adjusting the stored route trajectory to indicate that the first cluster of points are on the route trajectory.

Abstract: A computer-implemented method for cache memory management in a distributed computing environment includes tracking, via a cache balancing engine, a plurality of vehicles operating in a first region. The method further includes executing, via the cache balancing engine, an analysis for a subset of the plurality of vehicles in the first region to determine a weighted mean velocity for each vehicle in the subset of the plurality of vehicles in the first region. The method further includes determining, via the cache balancing engine, based on the analysis, whether a second regional server tracking a second plurality of vehicles in a second region is likely to have an unbalanced cache memory, and rebalancing, via the cache balancing engine, cache memory data in the first regional server and cache memory data in the second regional server responsive to determining that the second regional server is likely to have an unbalanced cache memory.

Abstract: Embodiments of the present invention disclose a technical solution of determining a border between road network partitions, comprising: determining a border point based on road network data and partitioning information of road segments in the road network; determining a buffer zone between adjacent partitions based on the border point, the partitioning information of the road segments, and the road network data; determining a border between the adjacent partitions based on the buffer zone. With the solution of the present invention, border lines for road network partitions can be accurately determined.