Provided herein is a moving object simulation method including: a simulation preprocessing step in which a first server generates environment information for the simulation target, including at least one of road data, nearby vehicle data, nearby pedestrian data, nearby obstacle data, nearby traffic light data, nearby sign data, and event data, for a predetermined period of time; and a simulation step in which a second server calculates sensor unit output data of a simulation target vehicle according to movement of the simulation target vehicle for the predetermined period of time using the environment information, preventing computational overload due to limitations of server resources and promoting quality improvement for algorithm verification.

A computer-aided design (CAD) system enables physical articles to be customized via printing or embroidering and enables digital content to be customized and electronically shared. A CAD user interface may be generated that includes an image of a model of an article of manufacture and a customizable template. The customizable template may include user customizable design areas. One or more defined rules associated with respective customizable areas may be accessed. In response to a user selection of a default content item and a corresponding rule, content items may be automatically used to populate other template design areas and/or change a color of one or content items. Manufacturing instructions corresponding to the user customizations may be transmitted to a printing system using a file that includes location, rotation, and/or scale data.

Embodiments include herein are directed towards a method for static timing analysis. Embodiments included herein may include providing, using at least one processor, a database of predefined script tags and causing a display of a script at a graphical user interface. Embodiments may also include receiving an insertion of at least one tag from the database within the script and generating one or more timing reports based upon, at least in part, the script and the at least one tag.

A method and system including identifying, via at least one processor, a user role; configuring, via the at least one processor, an interface for the user role, wherein configuring the interface includes determining an interface view for the user role; and displaying, via the at least one processor, the interface with the interface view.

A design application is configured to perform a system-level optimization of a collection of system components. The design application iteratively executes a multi-objective solver to optimize structural and functional relationships between the system components in order to meet global design criteria and generate a system design. The design application initializes the design process by extracting from a knowledge base system templates having taxonomic, structural, or functional attributes relevant to the system design. The design application generates the knowledge base by mining taxonomic, structural, and functional relationships from a corpus of engineering texts.

Certain aspects involve providing automated performance monitoring of statistical models. For example, a processing device is used for performing a statistical analysis on information in an archive to extract historical data, scores, and attributes. The processing device calculates performance metrics based at least in part on the historical data, scores, and attributes. The processing device pre-calculates summary performance data based at least in part on the performance metrics. The summary performance data is stored in files with predefined layouts, which are stored in a non-transitory, computer-readable medium. Segmented data is presented from a file to a user through a graphical user interface (GUI). In some aspects, various reports of the segmented data are presented interactively by detecting a selection by the user of a segmentation and displaying the corresponding segmented data.

A method, system, and article of manufacture provide for multi-user collaboration on a three-dimensional (3D) design. The 3D design is acquired in a computer-aided design (CAD) application. A commenting process for a comment to be associated with a selected part of the 3D design is activated. Textual user input for the comment is dynamically processed as the comment is received. The processing recognizes that the text relates to creating or modifying the selected part, retrieves a list of alternative parts (based on similarities between the alternative parts and the selected part), and displays a graphic representation of an alternative part. An alternative part is selected and inserted in the comment as a proposed replacement part. The comment including the proposed replacement part is provided to another user.

A DRC test pattern generation method includes: receiving a DRC test pattern generation request, the DRC test pattern generation request carrying the number of correct patterns and the number of erroneous patterns; acquiring layout design rule information and corresponding layer configuration information, the layer configuration information including process layer configuration parameter information that is set according to a process type; parsing parameter information corresponding to each rule in the layout design rule information and the process layer configuration parameter information in the layer configuration information, and generating formatted parameter information corresponding to the each rule; and generating a corresponding number of correct patterns and a corresponding number of erroneous patterns corresponding to each rule according to the formatted parameter information.

A virtual reality system includes a network, a virtual reality server coupled to the network including a voice streaming server configured to stream audio data, a plurality of computing devices coupled to the network and the virtual reality server and each having a display assembly configured to render virtual reality spaces and objects. At least one of the computing devices is a virtual reality headset that includes one or more tracking cameras configured to sense positioning of a user's hands relative to the headset worn by the user, at least one microphone and at least one speaker. The voice streaming server is activated to stream microphone audio data from the microphone to speakers associated with other of the plurality of computing devices when one of the user's hands associated with the headset is located a threshold distance from the tracking camera of the headset.

Existing techniques of managing Electronic Design Automation (EDA) on cloud are based on pre-defined policies which result in costly burst patterns and server farm tilt. Embodiments of present disclosure overcomes these drawbacks by a method and system for managing EDA on cloud which employ machine learning to predict optimal resource configurations for deploying EDA jobs and configuration circuit on cloud that holds resources required by the optimal resource configuration. Further, different Cloud Service Providers (CSP) are evaluated to determine least cost CSP which has the desired configuration circuit. Completion time of jobs and time required to burst the jobs on cloud are calculated based on which a wait time is determined. The jobs are retained in the queue for corresponding wait time before deploying them on the cloud. The jobs are deployed on the on-prem infrastructure if resources are freed up before the wait time.