Abstract: An artificial leather includes a resin layer as the surface and a base fabric connected to the resin layer as the substrate. The base fabric comprises at least two monolayer structures arranged in an orderly manner as two laminates. Each monolayer structure is woven with some of the warp yarns and/or weft yarns in such layer or with some of the warp yarns and/or weft yarns in one or more other layers to form a number of connecting points, such that at least two monolayer structures arranged in an orderly manner as two laminates are connected with each other in the weaving process, forming a multi-layer integrated base fabric. The artificial leather incorporates a number of air vent holes distributed in the resin layer and the base fabric in the direction of thickness while retaining mechanical properties of tensile strength and tear resistance.

Abstract: The present invention relates to a method for identifying a preferred region for a product and an apparatus and a storage medium thereof. The method is executed by computer. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each product feature with a regional preference, a preferred region for the product feature in view of the sentiment polarities. The present invention can provide preferred regions for on-line product comments, enable enterprises to formulate more specific marketing strategies, and drive enterprises to implement regional product marketing strategies.

Abstract: The present invention relates to a method and device for on-line prediction of remaining driving mileage of an electric vehicle. The method comprises: acquiring in-transit data and driving environment data of the electric vehicle which is driving; calculating the power consumption per mileage of the electric vehicle in the current case by using the in-transit data and the driving environment data in combination with a power consumption rate data model; predicting the remaining driving mileage of the electric vehicle based on the power consumption per mileage. The device provided by the present invention is implemented on the basis of the method above. The prediction result of the present invention is more accurate, to avoid the problem that the power is exhausted due to exceeding the mileage expected by a user so that the electric vehicle cannot continue to drive, thereby improving the driving experience of the user.

Abstract: The present invention relates to a method and an apparatus for identifying a preferential region for a product. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the obtained comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each extracted product feature with a regional preference, a preferential region for the product feature in view of the sentiment polarities. For content of fragmental and random online comments on the product, the present invention can provide a preferential region, enable an enterprise to formulate a more specific marketing strategy, and drive the enterprise to implement the regional product marketing strategy.

Abstract: The present invention relates to a method and device for on-line prediction of remaining driving mileage of an electric vehicle. The method comprises: acquiring in-transit data and driving environment data of the electric vehicle which is driving; calculating the power consumption per mileage of the electric vehicle in the current case by using the in-transit data and the driving environment data in combination with a power consumption rate data model; predicting the remaining driving mileage of the electric vehicle based on the power consumption per mileage. The device provided by the present invention is implemented on the basis of the method above. The prediction result of the present invention is more accurate, to avoid the problem that the power is exhausted due to exceeding the mileage expected by a user so that the electric vehicle cannot continue to drive, thereby improving the driving experience of the user.