780 results about "Data description" patented technology

A method and apparatus for transmitting control information relating to an uplink packet data service from a user equipment (UE) to a Node B in a mobile communication system are provided. MAC-es protocol data units (PDUS) including data of an upper layer and a control service data unit (SDU) including control information of a MAC layer are multiplexed and contained in a MAC-e protocol data unit (PDU) transmitted in an uplink from the UE during one transmission period. In a header of the MAC-e PDU, a header part corresponding the control SDU contains a data description indicator (DDI) field set as a specific value representing that the control information is transmitted, and a header part corresponding to the MAC-es PDU contains a DDI field which represents a MAC-e flow and a logical channel relating to uplink packet data included in the second PDU, and a data size. Node B detects the control information from the control SDU based on the DDI field set as the specific value. Since the header part representing the control information has a structure similar to the header part representing the MAC-es PDU, the structure of the header is simplified, and the header size of the packet is minimized.

A method of analyzing data based on the physiological orientation of a driver is provided. Data is descriptive of a driver's gaze-direction is processing and criteria defining a location of driver interest is determined. Based on the determined criteria, gaze-direction instances are classified as either on-location or off-location. The classified instances can then be used for further analysis, generally relating to times of elevated driver workload and not driver drowsiness. The classified instances are transformed into one of two binary values (e.g., 1 and 0) representative of whether the respective classified instance is on or off location. The uses of a binary value makes processing and analysis of the data faster and more efficient. Furthermore, classification of at least some of the off-location gaze direction instances can be inferred from the failure to meet the determined criteria for being classified as an on-location driver gaze direction instance.

The present invention relates to exchanging data between software components in a distributed software system comprising a first software component and a second software component. A first data exchange metadata description is provided that contains information on data structures used in a serialized data exchange by the first software component. A dedicated second data exchange metadata description is provided for each older version of the second software component, each second data exchange metadata description containing information on data structures to be used in a serialized data exchange by the second software component. As a consequence, the first software component having a newer version is able to exchange data with any of the older second software components by using the respective data exchange metadata in data serialization and deserialization.

A data-descriptive meta language file, such as XML, is created that defines the layout operation within the visual interface of a component-based application at runtime. At runtime, the application receives a data-descriptive meta language file that defines the layout operation of the various components within the application visual interface. The application parses the data-descriptive meta language file and uses the parsed information to complete the layout and operation of the rendered interface. The runtime application includes functionality that uses selected data to specify unique applications and / or unique content associated with the application.

A data processing apparatus, a method and computer program product for comparing a first object associated with said data processing apparatus with a second object associated with a remote data processing apparatus, are provided. The data processing apparatus comprises an input device operable to accept a first and a second set of data associated with said first object. Said first set of data describes said first object, and said second set of data describes a third object. Additionally, the data processing apparatus includes a memory. Said memory is adapted to store said first and said second set of data. The data processing apparatus further comprises a receiver. Said receiver is adapted to obtain a first subset of a third and a fourth set of data, respectively, from said remote data processing apparatus. Said third and said fourth set of data is associated with said second object, and said third set of data describes said second object, and said fourth set of data describes a fourth object. It also includes a transmitter. Said transmitter is adapted to send a first subset of said first and said second set of data, respectively, to said remote data processing apparatus. Finally, the data processing apparatus comprises a processor. The processor is adapted to perform correlation analysis between said first subsets of said first and said fourth set of data, respectively, to obtain a first value of correlation between said first and said second object. The processor is further adapted to perform correlation analysis between said first subsets of said second and said third set of data, respectively, to obtain a second value of correlation between said first and said second object.

A system and method for graphically demonstrating a call-processing operation include receiving data representing signals in a telephone call and data from an event-detecting algorithm, the data from the event-detecting algorithm describing an operation of the algorithm on the telephone call, and generating a graphical display including a waveform based on the data representing signals in the telephone call and a graph of the operation of the event-detection algorithm.

The invention relates to an equipment health state assessment and prediction method based on industrial big data. The method comprises the following steps of S1, extracting sample data capable of representing the whole degradation process of equipment from an equipment state monitoring system; S2, performing effective preprocessing on the sample data; S3, constructing a distributed support vectordata description model based on the Spark platform, and extracting a normal sample set; S4, measuring the deviation degree of the current sample through the Euclidean distance, further converting thedeviation degree into a health degree value, and drawing a health degree curve; S5, constructing an equipment health degree single-step prediction model based on the Spark platform; and S6, further expanding the single-step prediction method of the equipment into multi-step prediction. Compared with the prior art, the invention relates to the equipment health assessment and prediction method, objectively and accurately assesses the health state of the monitored equipment, predicts the future degradation trend of the equipment, and provides a theoretical basis for the fault management and maintenance work of the subsequent equipment.