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: Systems and methods for estimating battery-powered driving distance for a vehicle, including training a relative model for a battery using input historical battery temperature data and historical battery-external factors, and predicting a future battery temperature based on the relative model and one or more of current or future battery-external factors. A battery power capacity is determined using the predicted future battery temperature and input manufacturer specifications for the battery, and a remaining battery powered driving distance is calculated based on input vehicle power consumption data and the determined battery power capacity.

Abstract: Methods, systems, and computer program products relate to deduplication of points of interest (POIs) from different sources. In some embodiments, a method is disclosed. According to the method, a first set of POIs are obtained from a first source and a second set of POIs are obtained from a second source. The first set of POIs are divided into a plurality of groups of POIs including a first group of POIs. A second group of POIs to be matched with the first group of POIs are determined from the second set of POIs. Duplicated POIs are identified from the first and second sets of POIs by matching the first group of POIs and the second group of POIs. In other embodiments, a system and a computer program product are disclosed.

Abstract: Methods and systems for classification of sequence data include warping training sequence data according to a warping pattern. A neural network is trained using the warped training sequence data. Input sequence data is warped according to the warping pattern. The warped input sequence data is classified using the trained neural network.

Abstract: A computer-implemented method is presented for inferring passenger routes in a subway system. The method includes identifying, via an imaging device, a target passenger within the subway system, employing an exiting flow extractor to determine passenger exiting waves, employing an exiting wave identifier to mark an exiting wave of the passenger exiting waves including the target passenger, employing a supporting evidence backtracer to determine an entrance gate for each of the passengers in the marked exiting wave including the target passenger, determining a route probability for each of the passengers in the marked exiting wave including the target passenger via voting or distribution estimation processing, and employing a most probable route inferer to infer a route of the target passenger based on an aggregate route probability for all the passengers in the marked exiting wave.

Abstract: Methods, systems, and computer program products relate to deduplication of points of interest (POIs) from different sources. In some embodiments, a method is disclosed. According to the method, a first set of POIs are obtained from a first source and a second set of POIs are obtained from a second source. The first set of POIs are divided into a plurality of groups of POIs including a first group of POIs. A second group of POIs to be matched with the first group of POIs are determined from the second set of POIs. Duplicated POIs are identified from the first and second sets of POIs by matching the first group of POIs and the second group of POIs. In other embodiments, a system and a computer program product are disclosed.

Abstract: A computer-implemented method for implementing separated attention on like and dislike items for personalized ranking includes performing an element-wise product on a user embedding and a final like item embedding to generate a first vector. The method further includes performing an element-wise product on the user embedding and a final dislike item embedding to generate a second vector. The method further includes computing a probability that the user prefers the like item to the dislike item based on the first and second vectors, and generating one or more item recommendations including one or more electronic images for the user using the probability.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for computing a trajectory-based Point of Interest recommendation. The method includes generating, by a processor device, a set of embeddings. Each of the embeddings in the set relates to a respective different trajectory contextual element of a user trajectory. The method further includes computing, by the processor device based on the set of embeddings, an activity representation that includes a set of POI candidate embeddings. The method also includes composing, by the processor device, a stop embedding based on the activity representation and the embeddings in the set and corresponding to a given stop in the user trajectory. The method additionally includes computing, by the processor device, the trajectory-based POI recommendation using an attention-based, user-specific, multi-stop trajectory, Recurrent Neural Network (RNN) model applied to the stop embedding.

Abstract: A computer-implemented method, a computer program product, and a computer processing system are provided for residual value prediction of an item. The method includes predicting, by a processor device, features of the item from unstructured data and structured data. The method further includes predicting, by the processor device, a residual value of the item using the predicted features. The method also includes generating, by the processor device on an interactive user display device, an interactive display interface that includes a prediction of the residual value of the item and provides a set of user selectable actions for performing relative to the prediction.

Abstract: A computer-implemented method is provided for image-based, self-guided object detection. The method includes receiving, by a processor device, a set of images. Each of the images has a respective grid thereon that is labeled regarding a respective object to be detected using grid level label data. The method further includes training, by the processor device, a grid-based object detector using the grid level label data. The method also includes determining, by the processor device, a respective bounding box for the respective object in each of the images, by applying local segmentation to each of the images. The method additionally includes training, by the processor device, a Region-based Convolutional Neural Network (RCNN) for joint object localization and object classification using the respective bounding box for the respective object in each of the images as an input to the RCNN.

Abstract: Methods and systems for reinforcement learning with dynamic agent grouping include gathering information at a first agent using one or more sensors. Shared information is received at the first agent from a second agent. An agent model is trained at the first agent using the gathered information and the shared information. A contribution of the shared information is weighted according to a degree of similarity between the first agent and the second agent. An action is generated using the trained agent model responsive to the gathered information.

Abstract: A computer-implemented method is presented for implementing multi-aspect sentiment analysis by collaborative attention allocation. The method includes extracting a sequence of word vectors from a sentence received from a data stream, feeding the sequence of word vectors to long short-term memory (LSTM) neural networks to generate a sequence of hidden states corresponding to the sequence of word vectors, generating a plurality of aspect embedding vectors for each aspect, employing an attention mechanism to determine attention weight vectors concurrently for all aspects, and outputting predicted sentiments for each aspect of the sentence to a user interface of a computing device.

Abstract: A pump is provided with a motor arranged in a stator case, wherein a junction box is arranged at one axial end of the stator case, the junction box is provided with a tubular shell component, the first axial end of the tubular shell component is placed at the axial end of the stator case, the opposite second axial end of the tubular shell component is sealed through at least one cover piece, an operation display circuit board and a motor driving circuit board are arranged in the tubular shell component. The tubular shell component and the containing box are not provided with conductive contact pins.

Abstract: Systems and methods for navigating in consideration of estimated air quality in an individual area of a geographic region includes receiving traffic data for the individual area and sensor data of environmental pollution sensors within the individual region.

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle. In-vehicle sensor data of a vehicle are acquired and the usage status of the vehicle is determined based on the acquired in-vehicle sensor data. Based on the acquired in-vehicle sensor data and the determined usage status, a changing trend of the in-vehicle air-quality is determined and responsive to the determined changing trend of the in-vehicle air-quality, a control system of the vehicle is signaled to control the usage status of the vehicle based on a control policy.

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle, including determining a changing trend of the in-vehicle air-quality based on acquired in-vehicle sensor data and usage status of the vehicle and responsive to the determined changing trend of the in-vehicle air-quality, signaling a control system of the vehicle to control the usage status of the vehicle based on a control policy.

Abstract: An endoscope includes: an imaging device chip having a chip connection portion; a tubular housing tube used to a scope tip portion of an endoscope; a substrate to which the imaging device chip is fixed, the substrate having a substrate connection portion, the substrate being capable of bending at near the substrate connection portion when the substrate is inserted into the housing tube; a lead wire connecting the substrate connection portion and the chip connection portion; flexible and non-conductive resin covering an entirety of the lead wire; and an imaging module including the substrate provided with the imaging device chip thereon, the imaging module inserted into the housing tube.

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 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 method and/or system for managing a database that stores space-time context objects is provided. The system receives a query range in a multi-dimensional space. The system maps the query range into a set of fragments of a space-filling curve that fills the multi-dimensional space in all dimensions of the multi-dimensional space. The system uses each mapped fragment in the set of mapped fragments as a key to query the database for space-time context objects that are mapped to the space-filling curve. The system queries the database by identifying one or more context objects that intersect the mapped fragment at the space-filling curve.