Abstract: The weighted load balancing method on data access nodes ensures the ability to horizontally scale the data access system, the load handling capacity of the system is increased linearly according to the number of data access nodes. The proposed method includes the following steps: step 1: update the routing table, when adding, removing nodes or changing nodes' weight, move virtual nodes from node having decreased number of virtual nodes to node having increased number of virtual nodes; step 2: store old routing table on array A1 and new routing table on array A2; step 3: block access to records that need to be moved; step 4: copy records from old node to node; step 5: perform read/write access using data partitioning method with new routing table A2; step 6: clean duplicated records.

Abstract: A shoe accessory system and methods can include: an accessory connector having a male accessory mount and a female accessory mount: the male accessory mount including a base, a protrusion mounted above the base, an outwardly protruding lip extending from the protrusion, the outwardly protruding lip having a slope extending down toward an abutment, and the female accessory mount having inwardly extending flanges, the inwardly extending flanges extend in toward a center of the female accessory mount, the inwardly extending flanges spaced apart allowing the protrusion to fit therebetween; a shoe affixed to the male accessory mount; and an accessory affixable to the female accessory mount for allowing the accessory to be placed over the male accessory mount, pressed down, and twisted to lock the accessory onto the shoe.

Abstract: Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.

Abstract: The disclosed computer-implemented method for generating passwords may include (i) accessing a vault of confidential information describing a user, (ii) extracting, from the vault, a set of multiple items of confidential information describing the user, (iii) executing a programmed heuristic on the set of multiple items of confidential information to generate multiple candidate passwords that each derives from a respective semirandom permutation of the multiple items of confidential information, and (iv) displaying electronically the multiple candidate passwords to the user to enable the user to select a password from the multiple candidate passwords as a specific password for accessing a protected computing resource. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The invention proposes a method for dividing archived data based on persistent queue (PQ), including i) dividing this stored data into persistent data queues corresponding to the time it needs to be processed in the future; ii) scheduling the processing of data that has been split into these persistent data queues corresponding to future milestones; and iii) redistribute stored data into new sustainable data queues corresponding to the next time it takes for further processing of this data.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.

Abstract: A method for performing a coiled-tubing process, the method having the steps of performing a coiled-tubing process using a fluid-lubricant composition that includes: a sulfurized component, and a chlorinated component, wherein the sulfurized component is a sulfurized C8 to C14 olefin, wherein the chlorinated component is a chlorinated fatty ester, a chlorinated paraffin, or a chlorinated olefin; and introducing the fluid-lubricant composition into a subterranean wellbore casing.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a predicted trajectory of the object.

Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.

Abstract: A method for performing a coiled-tubing process, the method having the steps: performing a coiled-tubing process using a fluid-lubricant composition that includes a sulfur-containing compound, and introducing the fluid-lubricant composition into a subterranean wellbore casing.

Abstract: The present invention provides a method, and an associated apparatus configured to implement such a method, for analysing mark-up language text content, such as might be found on a website or within online user generated content. The method comprises a training phase, in which plurality of schemas are automatically generated from a specified text and a final schema is compiled. This final schema can then be used to compare with other online text content such that content which matched the final schema can be identified, for example for further analysis and comparison.

Abstract: A shoe accessory system and methods can include: an accessory connector having a male accessory mount and a female accessory mount: the male accessory mount including a base, a protrusion mounted above the base, an outwardly protruding lip extending from the protrusion, the outwardly protruding lip having a slope extending down toward an abutment, and the female accessory mount having inwardly extending flanges, the inwardly extending flanges extend in toward a center of the female accessory mount, the inwardly extending flanges spaced apart allowing the protrusion to fit therebetween; a shoe affixed to the male accessory mount; and an accessory affixable to the female accessory mount for allowing the accessory to be placed over the male accessory mount, pressed down, and twisted to lock the accessory onto the shoe.

Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.

Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.

Abstract: Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a predicted trajectory of the object.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.