Siemens Aktiengesellschaft

Siemens Ltd., China

Yunex Gmbh

Yu Kai Ji

Liang Gao

Peng Sun

Wan Li Ma

Xing Xing He

Various embodiments include a data fusion method based on a knowledge graph. The method may include: mapping an original data structure to a standard data structure; acquiring standard entities and determining attributes contained in the standard entities, wherein the attributes are related to data fields in the standard data structure; establishing associative relationships between the standard entities and generating a knowledge graph with the standard entities as nodes and the associative relationships between the standard entities as edges; and loading the knowledge graph and generating a query mode containing multiple queryable instances, wherein the queryable instances correspond to the edges and/or nodes in the knowledge graph.

Data fusion method and apparatus based on knowledge graph, and electronic device

A system and method are for determining a vehicle speed. In an embodiment, the system includes a first collecting module, adapted to collect traffic information; and a deep learning module, including a control model and a neural network. The control model is generated after the neural network autonomously deeply learns based on inputted traffic information. The control model is adapted to receive current traffic information including a speed and a location of a vehicle, traffic light status at a junction ahead, and traffic condition information in a road segment ahead currently collected by the first collecting module; to compute a recommended vehicle speed for the vehicle based on the current traffic information; and to output the recommended vehicle speed. Such a system may reduce the stopping times at the intersection.

System and method for determining vehicle speed

Implementations of embodiments disclose an information processing method, apparatus, and system. In an embodiment, the information processing method includes: monitoring at least one microservice request sent by each of at least two microservices, a microservice request being used by one microservice to call another microservice; determining a call relationship between a first microservice and a second microservice from each detected microservice request, the first microservice being a microservice sending the microservice request, and the second microservice being a microservice that the microservice request requests to call; and generating call information between the at least two microservices based on all determined call relationships. In embodiments of the present invention, call information between microservices can be obtained, the obtained call information is visually displayed to intuitively and conveniently present dependence between the microservices, and a processing capability of a microservice can be adjusted based on an indicator value.

Growing community of inventors

Shanghai, China

Yu Kai Ji