Abstract:
A method and an apparatus for processing a query are disclosed. When the query is input, in a case in which partitions are present in a data table, a partition corresponding to the input query is selected, and in a case in which one or more partition column sets are present in the selected partition, one or more partition column sets corresponding to the input query are selected, and the query is processed for the selected partition column sets.
Abstract:
The following description relates to a query optimization method in distributed query engine and an apparatus thereof. A query optimization method according to an exemplary embodiment includes establishing a query plan based on query; classifying data to be included in result data of a high level operation from result data of a low level operation as a first data to be used for intermediate operations existing between the low level operation and the high level operation and a second data not to be used for the intermediate operations, based on the query plan; and modifying the query plan for the second data not to be an input value for the intermediate operations
Abstract:
An apparatus for constructing device information for control of smart appliances includes a camera member, which generates multi-view images for 3D reconstruction through multi-angle photographing in an indoor space using a depth camera, and generates 3D data using the generated multi-view images, and a home device controller, which constructs a 3D space using the generated 3D data, and constructs a device profile for controlling an operation of a device to be controlled, which is designated by a user, through combination of spatial data of the device to be controlled and the constructed 3D space.
Abstract:
Disclosed herein is an apparatus for processing a predictive spatiotemporal query based on synthetic data. The apparatus includes a query-processing unit for analyzing a predictive spatiotemporal query of a user and returning a processing result, a machine-learning unit for training a machine-learning model in response to a request from the query-processing unit and generating synthetic spatiotemporal data based on the machine-learning model, and a data storage unit for storing raw spatiotemporal data and the generated synthetic spatiotemporal data, and the raw spatiotemporal data may be stored in the form of a table including an identifier column and a position column.
Abstract:
A system for providing virtual AV service includes a local device middleware (LDM) media server which stores AV contents and a resource cooperation server (RCS) which separates the AV contents from the LDM media server into video contents and audio contents. The video contents and the audio contents are reproduced by an LDM video renderer and an LDM audio renderer, respectively. An LDM control point (LDMCP) controls the LDM media server and the LDM media renderers using the LDM protocol and a virtual device ensembler (VDE) controls the RCS and the LDMCP.
Abstract:
A method and apparatus provides a multi-screen based multi-dimensional game service using a home network and a home server. The method includes determining a resolution of a game screen to be served based on terminal information provided from a user terminal, storing a view on a user location in a multi-dimensional shared game space as a game session, generating an object for the view based on the determined resolution, performing multi-view rendering using multi-dimensional scene data and a user game input, capturing video and audio generated through the multi-view rendering, encoding the captured video and audio, and transmitting encoded video and audio to the user terminal.
Abstract:
Disclosed herein is an apparatus for processing a predictive spatiotemporal query based on synthetic data. The apparatus includes a query-processing unit for analyzing a predictive spatiotemporal query of a user and returning a processing result, a machine-learning unit for training a machine-learning model in response to a request from the query-processing unit and generating synthetic spatiotemporal data based on the machine-learning model, and a data storage unit for storing raw spatiotemporal data and the generated synthetic spatiotemporal data, and the raw spatiotemporal data may be stored in the form of a table including an identifier column and a position column.
Abstract:
A method for providing collaboration services and a collaboration agent device for implementing the method, which allows the collaboration agent devices to handle common functions necessary for the collaboration services and the applications to indirectly interact with each other using the collaboration agent devices so that applications running executed in two or more smart devices can provide the collaboration services in collaboration with each other.