Abstract: Various embodiments a method and apparatus for unmanned driving behavior decision-making and model training, and an electronic device. The method includes: acquiring sample data, wherein the sample data includes a sample image; extracting a sample feature vector corresponding to the sample data, wherein a feature vector of the sample image is extracted by manifold dimension reduction; and based on the sample feature vector, training by semi-supervised learning to obtain a target decision-making model, wherein the target decision-making model is used for decision-making classification.

Abstract: The present invention provides a casing for a heat-not-burn ceramic film cigarette, the casing comprising a main body cigarette tube, sealing paper located at one end of the cigarette tube, and a filter tip located at the other end of the cigarette tube. A ceramic film is arranged, in the cigarette tube, on a contact layer that comes into contact with tobacco. A ceramic film is provided on the contact face of the sealing paper that comes into contact with the tobacco. According to the casing for a heat-not-burn cigarette provided in the present invention, the ceramic film of the casing is directly applied to a packaging layer which comes in direct contact with the tobacco, such that the component stability of a heat-not-burn cigarette can be greatly increased, and the moisture retention property of tobacco substances is significantly improved.

Abstract: Representative implementations provide devices and techniques for automatically generating a skeleton of at least a portion of a web service application. The skeleton comprises a framework that may be modified as needed for a desired use, such as for a relational database backed application, for example. In one aspect, the framework includes a versatile model to support different validation methods and varied customization. Filter support allows a user to perform actions on and/or define rules for inputs. In another aspect, the skeleton is automatically activated in an in-memory database repository.

Abstract: Representative implementations provide devices and techniques for automatically generating a skeleton of at least a portion of a web service application. The skeleton comprises a framework that may be modified as needed for a desired use, such as for a relational database backed application, for example. In one aspect, the framework includes a versatile model to support different validation methods and varied customization. Filter support allows a user to perform actions on and/or define rules for inputs. In another aspect, the skeleton is automatically activated in an in-memory database repository.

Abstract: A framework for handling a wrapper procedure is provided herein. In accordance with one aspect, a user definition of a wrapper procedure encapsulating a stored procedure is received. The framework retrieves metadata associated with the stored procedure. The framework may prepare at least one query statement to invoke the stored procedure using an input parameter identified from the metadata. The framework may further set at least one value of at least one identified input parameter based on the metadata, and execute the prepared query statement using the set value of the input parameter to generate at least one value for an output parameter.