Disclosed is a user learning environment-based reinforcement learning apparatus and method. According to the disclosure, a CAD data based-reinforcement learning environment may be easily set by a user using a user interface (UI) and a drag and drop, a reinforcement learning environment may be promptly configured, and reinforcement learning may be performed based on the learning environment set by the user, and thus the optimized location of a target object may be automatically produced in various environments.

According to one embodiment, a design support device refers to a database. The database stores a graph structure. The graph structure includes a specification item, a unit item, a first item, and a second item. The unit item is of a unit included in a product. The unit item is associated with the specification item. The first item is tied to a system simulation model and associated with the unit item. The second item is tied to a three-dimensional model and associated with the unit item and the first item. The design support device transmits a first notification to a first processing device when the three-dimensional model is updated. The first processing device is tied to the first item. The design support device transmits a second notification to a second processing device when the system simulation model is updated. The second processing device is tied to the second item.

A method for designing buildings, the method comprising providing a digital representation of how M walls are relatively positioned, thereby to define a digital building geometry, wherein each wall typically belongs to a wall type selected from among N1 possible layered wall types, and/or using a hardware processor for classifying at least one portion of the building geometry, which includes at least portions of each of at least one e.g. plural walls respectively, as an individual junction aka engagement location between the plural walls belonging to one of J possible junction types; and/or detailing said individual junction including providing digital representations of each of said plural portions of said plural walls respectively, to yield said individual junction, thereby to allow the building geometry to be constructed, once the M walls have been manufactured.

Provided are an information processing apparatus, an information processing method and a non-transitory computer readable recording medium making it possible to display more appropriate reference designs.

A processing unit of the information processing apparatus acquires design data which pertains to a target design of an article which has a plurality of components, executes an extraction process of extracting at least one reference design from a plurality of reference designs of the article which is generated in advance on the basis of design data, makes a display unit display information pertaining to the at least one reference design which is extracted by the extraction process, and in the extraction process, derives a component similarity value which indicates a degree of similarity between each of some of or all reference designs in the plurality of reference designs and a target design for each of the plurality of components, derives a first index value on the basis of a plurality of component similarity values which consist of the component similarity values which are derived for each of the plurality of components, and extracts at least one reference design from the plurality of reference designs on the basis of the derived first index value.

A method for exporting a three-dimensional dental design model based on a three-dimensional dental library model (4) from an augmented reality application (6) which is adapted to visualize an image of the dental library model (4) rendered by a virtual camera with a preliminary pose and scale in a photo (2) of a face of a patient taken by a camera under a viewing axis to the face of the patient, the photo (2) including a mouth opening showing at least part of the present situation of the patient's dentition.

A server includes a processor, programmed to responsive to a user selecting a vehicle for simulation, identify a minimum requirement and a preferred requirement for a plurality of features associated with the vehicle, obtain information of user hardware including a computing device and a mobile device in communication with each other, responsive to verifying the user hardware meets the preferred requirement for a first feature of the plurality of features, list the first feature on top of a feature list, and responsive to the user selecting the first feature, perform a simulation of the first feature via the computing device and the mobile device.

Using scalable scribe regions for implementing a user circuit design includes generating a scribe region having a plurality of contours for a static top design of a circuit design for an integrated circuit. The static top design is configured to integrate with a user circuit design in the integrated circuit. Each contour defines a different size of the scribe region having a boundary that extends outward in at least one direction from a boundary of a floorplan area of the static top design on the IC. The scribe region can be translated into design constraints defining the plurality of contours of the scribe region and restrict placement of components of the user circuit design within the scribe region as sized according to a selected contour. The static top design and the plurality of design constraints can be stored in a memory for use in implementing the user circuit design.

A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

A conveyor device, comprising a) a plurality of rack elements arranged in a first row to define a first conveyor track. The conveyor device also comprises b) a plurality of rack elements arranged in a second row to define a second conveyor track. The conveyor device includes c) a robot unit with a traction device and a driving device, wherein said traction device is adapted to move said robot unit along said first or said second conveying direction and said driving device is adapted to engage said coupling interface of said movable carrier device to drive said movable carrier device. The conveyor device also includes d) a cross traverse rack element adapted to take up said robot unit, wherein said cross traverse rack element comprises a traverse movable load carrying device having an upper traverse load surface adapted to take up an object and a traverse coupling interface.

A method of and a system for propagating a configuration setting of a 3D model to other 3D models, the 3D model and the other 3Ds being part of a same 3D model category. The 5 method comprises dividing the 3D model into a first plurality of surfaces; associating to each one of the first plurality of surfaces, a unique surface identifier. For each one of the other 3D models, the method comprises dividing the one of the other 3D models into a second plurality of surfaces; establishing a correspondence; associating, for each one of the second plurality of surfaces corresponding to one of the first plurality of surfaces. The method also comprises 0 selecting the configuration setting of the 3D model; determining the unique identifier of the 3D model to which the configuration setting is to be applied; and propagating, the configuration setting to the other 3D models.