International Business Machines Corporation

Globalfoundries Inc.

Volkswagen Ag

Mobility Asia Smart Technology Co. Ltd.

Ning Duan

Zhi Hu Wang

Peng Gao

Xin Zhang

Peng Ji

Jian Ding

Wei Shan Dong

Wei Sun

Junchi Yan

Guoqiang Hu

Baohua Wang

Chun Ma

Jing Chang Huang

Ke Hu

Li Li

Jian Dong Ding

Xiao Bo Li

Min Gong

He Huang

Bo Gao

Jun Zhu

Stephen Mingyu Chu

Liya Fan

Zhong Bo Jiang

Qian Zhao

Jian Wang

Chen Wang

Guo Qiang Hu

Xuan Zhang

Liangliang Cao

Jian Ming Zhang

Wen Ting Mo

Qian Lin

Yi Qi

Yu Huang

Jun Chi Yan

Chang Li

Chang Jie Guo

Chunhua Tian

Ji Min Zhang

Ren Jie Yao

Ting Yuan

JingChang Huang

Renjie Yao

Guotao Zhao

Ronald Fellows

Yu Wang

Shao Chun Li

Juhnyoung Lee

Wei Peng Huang

Qi Zhang

Kai Lin Li

Yu Ying Wang

Kai Tang

Sheng Huang

Jin Huang

Chun Hua Tian

Wen Hao An

Yun Jie Qiu

Feng Juan Wang

Xi Sun

Xin Tang

Jiandong Ding

Chang Zhou

Shiping Yan

Arun Hampapur

Chao Zhang

Wei Zhao

Yong Sen Zheng

Shi Lei Zhang

Shoichiro Watanabe

Chao Xue

Shi Wan Zhao

Hongfei Li

Ramesh Natarajan

Jie Song

Makoto Tanibayashi

Yan Liu

Pei-Yun S Hsueh

Yan Fang

Jing Jing Liu

Hang Gao

Zhi Lin Hu

Amol N Ghoting

Weidong Liu

Gang Ning

Dongyun Wang

Kunyan Yin

Ju Yuan

Changjin Zhou

Nan Xia

Tiecai Liu

Ou Li

The disclosure relates to a system and method for controlling lamplight by using music, and an in-vehicle infotainment system. The system comprises: a music analysis unit, configured to analyze rhythm and content of music; and a lamplight control unit, configured to dynamically control, on the basis of the analysis of the rhythm and content of the music, at least one of color, brightness and variation rhythm of the color and brightness of lamplight emitted by light-emitting components. Embodiments of the present invention can achieve better integration between lamplight, music and scenes, so that a user obtains an improved acousto-optic experience.

System and method for controlling lamplight by using music, and in-vehicle infotainment system

The present invention relates to method and apparatus for recommending a charging station, the method includes: determining, based on personal preference information of a user of an electric vehicle, a specific area reachable by the electric vehicle and suitable for charging the electric vehicle, when receiving a request for searching for a charging station for the electric vehicle; recommending a suitable charging station located in the specific area to the electric vehicle for charging. A suitable charging station may be recommended to the electric vehicle for charging with the method and apparatus.

Method and apparatus for recommending a charging station

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.

Method and apparatus of data classification for routes in a digitized map

Techniques facilitating resolution-based spatial computing are provided. In one example, a computer-implemented method comprises traversing, by a device operatively coupled to a processor, a data structure corresponding to a land area for a location having an index; and determining, by the device, whether the location is at least partially within the land area based on a result of the traversing. In some embodiments, the traversing comprises: obtaining a threshold number of levels based at least in part on a resolution parameter; scanning a first level of the data structure for a node having an index corresponding to the index of the location; and iterating the scanning for respective subsequent levels of the data structure based on the scanning returning a node having subordinate nodes and a number of levels for which the scanning and iterating have been performed being less than the threshold number of levels.

Spatial computing for location-based services

A mechanism is provided for controlling the internal air-quality of a vehicle, including configuring a control policy that controls an internal air-quality of a vehicle and performing an action dictated by the control policy according to a window status of the vehicle.

Intelligent in-vehicle air-quality control

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.

Spatial-temporal query for cognitive IoT contexts

A method, system, and computer program product for obtaining a first route traversed by a target object, performing at least one prediction for a second route to be traversed by the target object based on the first route, the at least one prediction being performed with at least one of an object-specific prediction model, an object group-specific prediction model, and an object-independent prediction model, and determining, according to a decision rule, a prediction result of the second route based on the at least one prediction.

Route prediction based on adaptive hybrid model

A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.

Road network generation

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.

Passenger travel route inferencing in a subway system

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.

Adaptive calibration of sensors through cognitive learning

A system, method and computer program product for retrieving trajectory data from huge datasets. In the method, there is received, at a processor device, a user query including a request for displaying trajectory data at a user device. From the user query, a query type and a current map visualization scale setting (mapscale) for visualizing the trajectory data on the user device display is determined. Then, responsive to a user query type and the determined mapscale setting, a corresponding reference level is selected. Based on the selected reference level, there is accessed from a memory storage device a data set of compressed trajectory data. This compressed trajectory data set is communicated to the user device, for presentation on the user device display. In one aspect, the system and method is adaptive, enabling storage and retrieval of trajectory data according to various degrees of visualization or granularity.

High performance and efficient multi-scale trajectory retrieval

A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

Generating a training model based on feedback

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.

A method for evaluating fraudulent data in a Usage Based Insurance (UBI) system, includes retrieving trip data for a driver from a database. A processor on a computer determines tough context incidents in the trip data. Driving behavior of the driver during said tough context incidents is compared with driving behavior of other drivers during similar tough context incidents. The trip data is identified as potentially fraudulent if the driver's driving behavior is better by a predetermined amount compared to the other drivers' driving behavior.

Method and system to determine auto insurance risk

A method and apparatus for parallelization of data processing. The method including: parsing a data processing flow to split a write table sequence for the data processing flow; generating a plurality of instances of the data processing flow based at least in part on the split write table sequence; and scheduling the plurality of instances for parallelization of data processing.

Parallelization of data processing

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Beijing, China

Ning Duan