Abstract: Embodiments of the present application disclose a multipath transmission based packet traffic control method, including: monitoring egress traffic of a data packet set sent by a source node; determining, according to a preconfigured mapping relationship between traffic ranges and forwarding paths, a target forwarding path set corresponding to the egress traffic of the data packet set, and a weight parameter of the egress traffic borne on each target forwarding path in the target forwarding path set; and distributing the data packet set according to the weight parameter, and transferring the data packet set to a destination node by the target forwarding path set. The embodiments of the present application further disclose a traffic control apparatus. By using the present application, centralized policing and classification can be performed on user traffic in a multipath transmission scenario.

Abstract: Techniques for neural network training are provided. One computer-implemented method comprises: obtaining, by an electronic device operatively coupled to a processing unit, based on a similarity between two images, a first image and a second image. The computer-implemented method also comprises training, by the electronic device, a neural network based on the first image and the second image such that a distance between a first vector and a second vector generated respectively from the first image and the second image in the trained neural network is associated with the similarity.

Abstract: Systems and methods for obtaining vehicle operational data and driving context data from one or more monitoring systems, including converting the obtained vehicle operational data and driving context data into sequential vehicle operational feature data and sequential driving context feature data, calibrating the sequential vehicle operational feature data and the sequential driving context feature data temporally to form calibrated sequential vehicle operational feature data and calibrated sequential driving context feature data, constructing a sequence table of temporal sample points based on the calibrated sequential vehicle operational feature data and the calibrated sequential driving context feature data, feeding the sequence table into a deep neural network model for applying network learning to form a trained deep neural network model, extracting driving behavior features from the trained deep neural network model and analyzing the extracted driving behavior features to determine driving behavior char

Abstract: A method and a PET apparatus are provided. According to an example of the method, a saturation indicia of a target detector may be determined through simulating emission of a ? photon to the target detector. The target detector is any one of SiPM detectors of a PET apparatus. The saturation indicia is for designating a maximum output voltage after amplifying an output of the target detector through a VGA when one ? photon is received by the target detector. The target VGA is a VGA corresponding to the target detector. By comparing an output voltage of the target VGA and the saturation indicia, it may determine that the target detector received a saturation event if the output voltage of the target VGA is higher than the saturation indicia. An amplifier gain of the target VGA may be adjusted until an amount of the saturation events detected by the target detector in unit time satisfies a pre-determined threshold.

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: A transparent pressure sensing film composition is provided having a matrix polymer; and, a plurality of conductive particles; wherein the matrix polymer comprises 25 to 100 wt % of an alkyl cellulose; and, wherein an electrical resistivity of the transparent pressure sensing film is variable in response to an applied pressure having a z-component directed along the thickness of the transparent pressure sensing film such that the electrical resistivity is reduced in response to the z-component of the applied pressure.

Abstract: A transparent pressure sensing film is provided having a matrix polymer; and, a plurality of hybrid particles; wherein the plurality of hybrid particles are disposed in the matrix polymer; wherein each hybrid particle in the plurality of hybrid particles, comprises a plurality of primary particles bonded together with an inorganic binder; wherein an electrical resistivity of the transparent pressure sensing film is variable in response to an applied pressure having a z-component directed along the thickness of the transparent pressure sensing film such that the electrical resistivity is reduced in response to the z-component of the applied pressure.

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, 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: 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 composite transparent pressure sensing film is provided having a matrix polymer wherein the matrix polymer is a combination of 25 to 75 wt % of an alkyl cellulose and 75 to 25 wt % of a polysiloxane; and, a plurality of hybrid particles, wherein each hybrid particle in the plurality of hybrid particles, comprises a plurality of primary particles bonded together with an inorganic binder; wherein the plurality of hybrid particles are disposed in the matrix polymer; wherein an electrical resistivity of the composite transparent pressure sensing film is variable in response to an applied pressure having a z-component directed along the thickness of the composite transparent pressure sensing film such that the electrical resistivity is reduced in response to the z-component of the applied pressure.

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 matched based on a distance and having a traveling direction consistent with the route directions; obtaining candidate transition points from the plurality of points on the digital map; aggregating the candidate transition points by applying a clustering algorithm to obtain a first cluster of points and a plurality of second clusters of points, verifying a confidence that the first cluster of points are transition points indicating a transition between the routes, and in response to the confidence being below a threshold confidence, classifying the first cluster of points as a first plurality of traveling points having a first direction and automatically adjusting the digital map at least in part based on the first cluster of points.

Abstract: A Position Emission Tomography (PET) system is provided in the present disclosure. According to an example, the PET system includes a detector and a host computer, where the detector includes: a plurality of detector rings; each of the detector rings including n number of collecting modules arranged in a circumferential direction of the detector ring, where n is an integer greater than 1; a first collecting module of the n number of collecting modules coupled with the host computer; an n-th collecting module of the n number of collecting module coupled with a (n?1)-th collecting module; and an i-th collecting module coupled with an (i?1)-th collecting module, where i is an integer greater than 1 and less than n.

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: A method and system for obtaining a trajectory pattern of a route. One embodiment of the present invention provides a method for obtaining a trajectory pattern of a route. The method includes obtaining a set of points associated with the route, the set of points being obtained by at least one entity travelling along the route. A plurality of coverage areas covering a part of points in the set of points is determined. The coverage areas are connected based on main directions of the coverage areas to obtain the trajectory pattern related to the route. The main directions represent forward directions of the route in respective coverage areas. A corresponding system for obtaining a trajectory pattern of a route is described as well.

Abstract: A timing method and a timing device are disclosed. A Gray code count output may be obtained by performing a Gray code count on a basic clock. Then m number of sub-clocks may be obtained by separately performing a phase shift on a least significant bit output of the Gray code count output, where a phase difference ? between each of the m number of sub-clocks and the least significant bit output may satisfy: ?=n×? and ??90°, 180° may be divisible by ? with no remainder, and n may be an integer greater than 0 and less than 180°/?. If 90° is divisible by ? with no remainder, m=180/??2; and if 90° is divisible by ? with a remainder, m=180/??1. When a predetermined event occurs, a timing result of the predetermined event may be obtained according to the Gray code count output value, outputs of the m number of sub-clocks, a period of the basic clock, and the ?.

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: A method of reconstructing an image that may include in at least one example: determining coincidence events based on detection by a detector during a continuous incremental scanning; determining an axial position for each of the coincidence events; storing data for each of the coincidence events including the axial position in a list mode; sorting the data for each of the coincidence events according to a spatial order; and obtaining an image by performing iterative reconstruction with the sorted data for each of the coincidence events.

Abstract: According to embodiments of the present disclosure, a method, a device and a computer program product for route planning based on connectivity of nodes are provided. The method comprises determining a first plurality of nodes from an origin to a destination. The method further comprises dividing the first plurality of nodes into a plurality of collections based on travel time. In addition, the method comprises determining a route from the origin to the destination by selecting nodes from the plurality of collections.