International Business Machines Corporation

Zhi Cao

De Shuo Kong

Zhi Peng Jia

Yong Wang

Ye Wy Wang

Xiang Yu Yang

Jing Wu

Ge Liang

Rong Fu He

One or more computer processors encode a plurality of time sequenced global position system (GPS) datapoints onto a grided dimensional area; determine a general trajectory between each time sequenced GPS datapoint in the plurality of encoded time sequenced GPS datapoints and a subsequent encoded time sequenced GPS datapoint; cluster the encoded time sequenced GPS datapoints based on a respective determined trajectory with a plurality of encoded historical GPS datapoints; calculate an azimuth for each encoded time sequenced GPS datapoint in the plurality of time sequenced GPS datapoints utilizing a plurality of adjacent historical GPS datapoints contained within a respective cluster; generate a plurality of interpolated GPS datapoints utilizing calculated azimuths, determined general trajectories, and historical GPS datapoints; and aggregate the generated interpolated GPS datapoints with the plurality of time sequenced GPS datapoints into an interpolated route, wherein each GPS datapoint in the interpolated route is within respective azimuth thresholds.

Low-sampling rate GPS trajectory learning

Systems and methods of computer program code or business process design pattern recognition are provided. In embodiments, a method includes identifying, by the computing device, predefined elements and relationships between the elements in a digital industry product based on stored rules; generating, by the computing device, a diagram based on stored image rules, the diagram including graphical notations and text-based information representing the elements and the relationships between the elements; removing, by the computing device, the text-based information from the diagram to produce a modified diagram; and determining, by the computing device, that the modified diagram includes at least one predetermined pattern from a plurality of stored patterns using image object detection.

Pattern recognition

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Xi'an, China

Zhi Cao