97 results about "Prospective data" patented technology

Methods for insurance of online presence (202) and/or data (200) are described. An insurer (302) contracts with an insured entity (304) in an agreement (308) under which a premium (310) is paid for insurance coverage. The premium is calculated (306) using a pure premium method (400) or a loss ratio premium method (402), in a manner that depends on factors such as expected virus scan results (404), expected data recovery time (406), expected geographic spread (408), use of multiple recovery methods (410), and other information regarding the insured entity's business and the technical protection services (206) to be used. In some embodiments, the technical protection services are provided under the agreement by a third party technical services provider (300). Systems, signals, and configured media are also described.

Measured data, such as WLAN data, are received. The measured data are compared with expected data, such as expected WLAN data. Expected WLAN data can be generated from various sources, for example floor plan data and access point data (e.g., quantity, placement, and/or configuration). Based on such measured data, WLAN features can be changed, such as floor plan and/or access point data (e.g., quantity, placement, and/or configuration).

A wake-and-go mechanism is provided for a data processing system. The wake-and-go mechanism recognizes a programming idiom, specialized instruction, operating system call, or application programming interface call that indicates that a thread is waiting for an event. The wake-and-go mechanism updates a wake-and-go array with a target address, expected data value, and comparison type associated with the event. The thread then goes to sleep until the event occurs. The wake-and-go array may be a content addressable memory (CAM). When a transaction appears on the symmetric multiprocessing (SMP) fabric that modifies the value at a target address in the CAM, logic associated with the CAM performs a comparison based on the data value being written, expected data value, and comparison type.

A system, method, computer program product and propagated signal for generating one or more forms in one operation using data identified in a dynamically generated user editable form that includes a list limited to the fillable fields of the form templates and prospective data to be substituted into those fields when the forms are generated from the selected form templates, particularly using forms in PDF that may be accessed using an API.

A user equipment (UE) device may be configured to effectively manage coexistence of multiple radio access technologies (RATs) on the device. Respective controllers responsible for at least partially managing wireless communications according to corresponding respective RATs may communicate to each other expected data transfer patterns that take place over their respective communications links, including application-specific data transfer patterns and data-transfer-mechanism-specific data transfer patterns. The RAT controllers may manage their respective data transfers according to the expected data-transfer pattern information associated with the other RATs received from each in order to prevent data transmission by the device over one RAT link interfering with data transmission of the device over another RAT link. The expected data pattern information may be sent in messaging of a specific type with indexes determined based at least on a status of the data transfer mechanism and a connectivity status of the UE device.

A receiving apparatus and method for performing carrier detection in a frequency domain for a digital wavelet multi-carrier transmission. A wavelet transform of received data is performed to output complex data and then the complex data is delayed for one sampling period. Subsequently, the delayed complex data and delayed complex data are divided. A number of the divided complex data present within each of plural quadrants on orthogonal coordinates is calculated and a maximum number of data present within one of the quadrants is selected and compared with a threshold in order to decide whether the received data is intended data.

A method and apparatus for detecting and segmenting anomalous data in an input data set such as an image is described, which makes use of a normalised distance measure referred to as a zeta distance score. A test data point from an input test data set is compared with its corresponding nearest neighbouring standard data points in standard data sets representing variation in normal or expected data values, and the average distance from the test data point to the standard data points is found. An additional average distance measure representing the average distance between the different nearest neighbouring corresponding standard data points is also found, and a normalised distance measure obtained by finding the difference between the average distance from the test data point to the standard points and the average distance between the nearest neighbouring standard data points themselves. Where the input test data set is an image then a zeta distance score map can be found. By then thresholding the zeta distance scores obtained for the input data set using an appropriate threshold, anomalous data in the data set with a high zeta distance score can be identified, and segmented.

The invention relates to a road matching method based on the fusion of a probe vehicle movement track and an electronic map. The method is characterized in that an urban road network is divided by adopting a mesh division technology, so that the road section search complexity can be greatly reduced; a map matching method fusing a three-section matching concept of reference historical data and prospective data and an improved weight model concept is adopted for overcoming the weaknesses by acquiring strong points, the matching degree calculated by adopting the weight model is adopted as the evidence, and the three-section matching concept is used for making the decision, so that the reliability of the decision evidence and the reasonability of a result decision can be improved, and the relatively high matching precision can be achieved by virtue of the minimum complexity.

Data is stored on a tag unit. The tag unit provides for alert monitoring capabilities and monitoring of events, these capabilities allow for supply chain plans to be restructured and for events to be rescheduled. The tag unit is attached to an item for tracking purposes. The tag unit monitors and stores a status of the item. Then the item is sent to a destination. The tag unit is scanned when the item has been sent to a destination. The data on the tag unit is updated as a function of scanning. The data is updated when the tag unit is scanned at a destination. Then the data on the tag unit is validated. The data is validated for security purposes. The data on the tag unit is scanned to identify conditions to trigger actions. The system recovers from failure to read data on the tag unit by reconstructing the expected data from a history of the tag unit. Failure may be a result of identified or unidentified tempering of tag units, failure of the tag unit mechanism, or violation of the tag unit access limitations.

Disclosed is a method and mechanism for accessing XML data. In one approach, in the case of a schema based document, the structure of the XML document is known apriori and this information can be exploited to store and retrieve the data more efficiently. A Named Access interface or procedure can be defined and associated with elements of the schema. The need for datatype conversions can be eliminated by allowing direct mapping to the intended datatype or the closest matching datatype in the system to which the invention is directed. The storage information can be exploited to provide “direct” access to data based on offset in lieu of a linear traversal. Another aspect is that only the relevant portions need to be even loaded into memory.

Interaction between a client and a service in which the service responds to requests from the client. In addition to responding to specific client requests, the service also anticipates or speculates about what the client may request in the future. Rather than await the client request (that may or may not ultimately be made), the service provides the unrequested anticipatory data to the client in the same data stream as the response data that actual responds to the specific client requests. The client may then use the anticipatory data to fully or partially respond to future requests from the client, if the client does make the request anticipated by the service. Thus, in some cases, latency may be reduced when responding to requests in which anticipatory data has already been provided. The service may give priority to the actual requested data, and gives secondary priority to the anticipatory data.

A technique for concurrently accessing a data set includes initializing a shared cache with a column data store configured to store an expected data set in columns and creating a memory map for accessing the physical memory location in the shared cache. Other operations include mapping the applications' data access requests to the shared cache with the memory map. One advantage of the disclosed technique is that only one instance of the expected data set is stored in memory, so each application is not required to create additional instances of the expected data set in the applications memory address space. Therefore, larger expected data sets may be entirely stored in memory without limiting the number of applications running concurrently.

Video data is transcoded on the fly to produce a progressive download viewed while the data is being received while streaming and/or may be downloaded and played later. An analyser analyses a portion of an input video data file to determine coded characteristics of encoded input video and determines an expected data volume. A generator generates a file header for output video data that includes an indication of the expected volume thereof. A transcoder transcodes the input video data to produce encoded output video data. The output interface supplies the encoded output video data with the file header as a stream to a receiving device. In a first embodiment, the expected volume of data in the header is overestimated and blank video chunks added. In an alternative embodiment, the expected data of volume is underestimated and compression parameters are modified during the transcoding process.

Expect data signals are generated for a series of applied data signals having a known sequence to determine if groups of the data signals were properly captured. A first group of the applied data signals is captured, and a group of expect data signals are generated from the captured first group. A second group of applied data signals is then captured and determined to have been properly captured when the second group corresponds to the group of expect data signals. In this way, when a captured series of data signals is shifted in time from an expected capture point, subsequent captured data signals are compared to their correct expected data signals in order to determine whether that group, although shifted in time, was nonetheless correctly captured. A pattern generator generates expect data signals in this manner, and may be utilized in a variety of integrated circuits, such as an SLDRAMs.

Improved media allocation techniques for use in accordance with information-seeking systems are provided. For example, in one aspect of the invention, a technique for allocating media to present data content for a response to a query comprises the following steps/operations. Data content suitable for generating a response to the query is determined. One or more media for presenting at least a portion of the response (e.g., at least a portion of the intended data content) are dynamically allocated. Media allocation is modeled as an optimization operation which attempts to balance context-based allocation constraints. The optimization operation may also attempt to achieve the desired presentation of intended data content.