A computing system receives a plurality of payloads from a plurality of computing devices, each of the plurality of payloads comprising one or more events for a pageview corresponding to a respective website. For every predefined time period, the computing system collects a plurality of payloads received within the predefined time period, stores the collected plurality of payloads in a single file in a datastore, generates metadata associated with the single file, and stores the generated metadata in a database comprising metadata for a plurality of single files. When the computing system receives a request for a pageview of a website, the computing system accesses the database to determine a plurality of payloads within one or more single files comprising payloads for the pageview of the website. The computing system generates the pageview by assembling the plurality of payloads for the pageview of the website.

A computing system receives a plurality of payloads from a plurality of computing devices, each of the plurality of payloads comprising one or more events for a pageview corresponding to a respective website. For every predefined time period, the computing system collects a plurality of payloads received within the predefined time period, stores the collected plurality of payloads in a single file in a datastore, generates metadata associated with the single file, and stores the generated metadata in a database comprising metadata for a plurality of single files. When the computing system receives a request for a pageview of a website, the computing system accesses the database to determine a plurality of payloads within one or more single files comprising payloads for the pageview of the website. The computing system generates the pageview by assembling the plurality of payloads for the pageview of the website.

A system and method for providing a cloud-based interactive simulated reality environment which evolves in a multi-dimensional way over time. The system features a modular design that enables the creation, evolution, and expansion of a personalized simulated reality environment across an unlimited amount of users. More specifically, the system enables the automation of a personalized three-dimensional (3D) simulated reality environment that can transform both independently of and dependently on the user, collaborators, and visitors.

A system and method for providing a cloud-based interactive simulated reality environment which evolves in a multi-dimensional way over time. The system features a modular design that enables the creation, evolution, and expansion of a personalized simulated reality environment across an unlimited amount of users. More specifically, the system enables the automation of a personalized three-dimensional (3D) simulated reality environment that can transform both independently of and dependently on the user, collaborators, and visitors.

Disclosed are a perspective method for a physical whiteboard and a generation method for a virtual whiteboard. A Hoffman straight-line detection method is used, statistics are taken on a quantity of overlapping times of a straight line, and a determining dimension of a whiteboard-related straight line is increased. On a basis of generating a high-precision virtual whiteboard, purity of a whiteboard color is improved through color enhancement, and a virtual whiteboard corresponding to each frame of a physical whiteboard image is processed based on a preset algorithm to obtain a background-color image, a motion map, and a chromatic aberration map, so as to obtain a foreground mask. A character is perspective and smoothed based on a foreground mask of a current frame, a color-enhanced image of the current frame, and a fully perspective image of a previous frame.

A computing system receives a plurality of payloads from a plurality of computing devices, each of the plurality of payloads comprising one or more events for a pageview corresponding to a respective website. For every predefined time period, the computing system collects a plurality of payloads received within the predefined time period, stores the collected plurality of payloads in a single file in a datastore, generates metadata associated with the single file, and stores the generated metadata in a database comprising metadata for a plurality of single files. When the computing system receives a request for a pageview of a website, the computing system accesses the database to determine a plurality of payloads within one or more single files comprising payloads for the pageview of the website. The computing system generates the pageview by assembling the plurality of payloads for the pageview of the website.

A computing system receives a plurality of payloads from a plurality of computing devices, each of the plurality of payloads comprising one or more events for a pageview corresponding to a respective website. For every predefined time period, the computing system collects a plurality of payloads received within the predefined time period, stores the collected plurality of payloads in a single file in a datastore, generates metadata associated with the single file, and stores the generated metadata in a database comprising metadata for a plurality of single files. When the computing system receives a request for a pageview of a website, the computing system accesses the database to determine a plurality of payloads within one or more single files comprising payloads for the pageview of the website. The computing system generates the pageview by assembling the plurality of payloads for the pageview of the website.

Methods and systems related to bone model generation and associated surgical techniques are discussed herein. A disclosed method for generating a bone model for a patient bone includes storing a conforming bone template model, accepting a nonconformity of the patient bone, and generating a nonconforming bone model using the nonconformity of the patient bone and the bone template model. The nonconformity is used to set a constraint of the conforming bone template model to a value and the nonconforming bone model has the value for the constraint. The nonconforming bone model can be generated using a bone model generator engine. In specific embodiments, the nonconformity can be described and accepted for use by the bone model generator engine using values that can be obtained from standard planar radiographs.

An image composing device includes first, second, and third obtaining units, a generator, and a composing unit. The first obtaining unit obtains label data indicating an image of a label to be attached to a product item. The second obtaining unit obtains configuration data indicating a three-dimensional configuration of the product item. The third obtaining unit obtains background data indicating an image to be used as a background. The generator generates projection information for projecting the three-dimensional configuration on the background. The composing unit combines the image of the label with the image of the background by using the projection information.

A mechanism for processing projection data generated by a computed tomography scanner. The projection data is processed by a machine-learning algorithm trained to perform an up-sampling or super-resolution technique on input data in order to generate higher resolution projection data.