A map file includes two-dimensional or three-dimensional geometric data items collectively representing layout of a building. The map file is parsed and the geometric data items are analyzed to identify building elements including rooms, floors, and objects of the building, and to identify containment relationships between the elements. A space model having a space graph is constructed. The space graph includes nodes that correspond to the respective building elements and links forming relationships between nodes that correspond to the identified containment relationships. Each node may include node metadata, rules or code that operate on the metadata, and a node type that corresponds to a type of physical space. Some nodes may include user representations or device representations that represent physical sensors associated therewith. The representations may receive data from the respectively represented sensors, and the sensor data becomes available via the space model.

This disclosure relates to improved sketch-based image retrieval (SBIR) techniques. The SBIR techniques utilize a neural network architecture to train a domain migration function and a hashing function. The domain migration function is configured to transform sketches into synthetic images, and the hashing function is configured to generate hash codes from synthetic images and authentic images in a manner that preserves semantic consistency across the sketch and image domains. The hash codes generated from the synthetic images can be used for accurately identifying and retrieving authentic images corresponding to sketch queries, or vice versa.

Disclosed is a quotation method executed by a computer, comprising: obtaining structure parameters and electrical parameters of a product (S101); constructing an external view of the product by using the structure parameters of the product, and performing similarity comparison on the external view of the product and the external view of a historical product to obtain an appearance similarity sorting (102); performing similarity comparison on the electrical parameters of the product and the electrical parameters of the historical product to obtain an electrical parameter similarity sorting (103); on the basis of the cost weights of a structural member and an electrical component and the appearance similarity sorting and the electrical parameter similarity sorting, obtaining a comprehensive sorting which is based on the structure parameters and the electrical parameters (S104); and determining, based on the comprehensive sorting, a bill of materials of the product, and calculating, based on the bill of the materials of the product, the product quotation (105).

The present patent application describes techniques for generating an enhanced electronic document that may include one or more graphical user interface (GUI) elements that comprise an interactive workflow. An electronic document is automatically processed to identify patterns within the content of the document that indicate individual content items, such as individual steps or instructions associated with a task described in the document, or individual input fields at which information is to be recorded. For each individual content item identified, a data object (e.g., a JSON object) is added to a file, which is ultimately embedded within the original document to create an enhanced electronic document. When the enhanced electronic document is presented via an appropriate document viewing application of a hands-free computing device, the content of the document is presented in combination with the interactive GUI elements so the end-user can interact with the content and GUI elements via audible (spoken) commands.

The present patent application describes techniques for generating an enhanced electronic document that may include one or more graphical user interface (GUI) elements that comprise an interactive workflow. An electronic document is automatically processed to identify patterns within the content of the document that indicate individual content items, such as individual steps or instructions associated with a task described in the document, or individual input fields at which information is to be recorded. For each individual content item identified, a data object (e.g., a JSON object) is added to a file, which is ultimately embedded within the original document to create an enhanced electronic document. When the enhanced electronic document is presented via an appropriate document viewing application of a hands-free computing device, the content of the document is presented in combination with the interactive GUI elements so the end-user can interact with the content and GUI elements via audible (spoken) commands.

An information providing apparatus includes an acquisition section that acquires position information from a terminal device, a specifying section that specifies a target publication from plural publications on which maps have been posted, by performing processing with the position information, and a providing section that provides the terminal device with information indicating a correspondence relationship between a map posted on the target publication and a position indicated by the position information.

A test support method includes a step of obtaining a pre-change image and a post-change image to be displayed on a monitoring and control system, a step of extracting, from the post-change image, multiple symbols that have changed from corresponding symbols in the pre-change image, a step of adding order information to the multiple symbols extracted, and a step of outputting a test image in which the order information is added to the multiple symbols.

According to one embodiment of the present invention, a symbol analysis device included in a facility floor plan can perform the operations of: acquiring a plurality of facility floor plans; detecting a rectangle included in each of the plurality of facility floor plans and an arc connected to the rectangle; specifying a window area and a door area on the basis of the rectangle and the arc; labeling pixels of the specified window area as the class of a window, and labeling pixels of the specified door area as the class of a door; and inputting the plurality of facility floor plans and data labeled in pixel units into a neural network model designed on the basis of a predetermined image segmentation algorithm, so as to learn the weight of the neural network model that derives the correlation between positions of the labeled pixels and the classes of windows and doors included in the plurality of facility floor plans, and thus a neural network model that determines the position and the class of windows and doors included in a facility floor plan is generated on the basis of the correlation.

According to one embodiment of the present invention, a symbol analysis device included in a facility floor plan can perform the operations of: acquiring a plurality of facility floor plans; detecting a rectangle included in each of the plurality of facility floor plans and an arc connected to the rectangle; specifying a window area and a door area on the basis of the rectangle and the arc; labeling pixels of the specified window area as the class of a window, and labeling pixels of the specified door area as the class of a door; and inputting the plurality of facility floor plans and data labeled in pixel units into a neural network model designed on the basis of a predetermined image segmentation algorithm, so as to learn the weight of the neural network model that derives the correlation between positions of the labeled pixels and the classes of windows and doors included in the plurality of facility floor plans, and thus a neural network model that determines the position and the class of windows and doors included in a facility floor plan is generated on the basis of the correlation.

A method is provided. The method includes: determining, by one or more computers, a name of a target region, wherein the name of the target region is determined based on geometry attribute information of the target region; and determining, by one or more computers, region attribute information of the target region based on the name of the target region