3462 results about "Calculated data" patented technology

The arithmetic processing apparatus of the present invention is an arithmetic processing apparatus that can be reconfigured in accordance with a processing mode and has a plurality of arranged unit arithmetic circuits. Each unit arithmetic circuit includes at least one input terminal, at least one output terminal, a first register which holds data, an adder which calculates a sum of two pieces of data, a second register which holds data, a bit shifter which shifts data left or right, a subtractor which calculates a difference between two pieces of data, an absolute value calculating unit which calculates an absolute value of data, and a path setting unit which sets a path according to the processing mode connecting among these circuit elements.

Embodiments of the present invention provide power flow analysis and may process electrical power distribution system data in real time to calculate load, current, voltage, losses, fault current and other data. The power flow analysis system may include a detailed data model of the electrical power distribution system, and may accept a variety of real time measurement inputs to support its modeling calculations. The power flow analysis system may calculate data of each of the three distribution system power phases independently and include a distribution state estimation module which allows it to incorporate a variety of real time measurements with varying degrees of accuracy, reliability and latency.

A system and method for automating the web service selection based on reputation information, to help negotiate a contractual web service binding between a client and a server. Reputation information may be schematized into behavioral attributes such as web service responsiveness, web service latency, web service uptime, cost data, business solvency and other trustworthiness and business-related data. Some of the reputation data may be empirically determined, and provided by an independent or other trusted auditor. In one implementation, a client queries a search engine, which returns a ranked list of web services, with the ranking based on reputation scores computed for each web service as collected by an auditor. Clients may provide computational data to weigh the attributes separately. A corporate internet can maintain reputation data for web services to act as an auditor, and a web service server can also execute trusted code to act as an auditor.

A data chunking system divides data into predominantly fixed-sized chunks such that duplicate data may be identified. The data chunking system may be used to reduce the data storage and save network bandwidth by allowing storage or transmission of primarily unique data chunks. The system may also be used to increase reliability in data storage and network transmission, by allowing an error affecting a data chunk to be repaired with an identified duplicate chunk. The data chunking system chunks data by selecting a chunk of fixed size, then moving a window along the data until a match to existing data is found. As the window moves across the data, unique chunks predominantly of fixed size are formed in the data passed over. Several embodiments provide alternate methods of determining whether a selected chunk matches existing data and methods by which the window is moved through the data. To locate duplicate data, the data chunking system remembers data by computing a mathematical function of a data chunk and inserting the computed value into a hash table.

A multidimensional query results processing system for translating output of an execution of a multidimensional query into a data result set that reflects the semantics of an entity/relationship schema report specification is provided. The system comprises a result set description generation module for producing a result set description that reflects the semantics of the report specification, a tabular row generation module for converting the results of the single multi-dimensional query into a collection of rows of data, a tabular summary level calculation module for calculating a summarization level of a row a data, a tabular header row generation module for producing a header row to include in the row of data, and a cross-tabulated result generation module for converting the results of the single multi-dimensional query into a result set that matches the semantics of the report specification.

A method dramatically reduces the amount of data to be stored and transferred in a networked storage system. Preferably, the network storage system provides continued data protection through mirroring/replication, disk-to-disk backup, data archiving for future retrieval, and Information Lifecycle management (ILM). The idea is to leverage the parity computation that exists in RAID systems. By caching, transferring, and storing data parity or delta bytes of changes on a block as opposed to data block itself, substantial data reduction is possible without using sophisticated compression algorithms at the production side to minimize performance impacts upon production servers. Data can be computed using the parity/delta and previously existing data at mirror side, replication side, backup storage, or at retrieval time upon events such as failures or ILM operations.

Systems and methods for accurately calculating the latency of a data-network, by providing an electronic device that receives data packets moving across a network data point and compares their time of arrival with a timestamp stored within a data packet. The electronic device may calculate the average latency by comparing N number of data packets. Further systems and methods for comparing the latencies at N number of electronic devices placed at unique network data points and calculating latencies between each device.

An enhanced graphics pipeline is provided that enables common core hardware to perform as different components of the graphics pipeline, programmability of primitives including lines and triangles by a component in the pipeline, and a stream output before or simultaneously with the rendering a graphical display with the data in the pipeline. The programmer does not have to optimize the code, as the common core will balance the load of functions necessary and dynamically allocate those instructions on the common core hardware. The programmer may program primitives using algorithms to simplify all vertex calculations by substituting with topology made with lines and triangles. The programmer takes the calculated output data and can read it before or while it is being rendered. Thus, a programmer has greater flexibility in programming. By using the enhanced graphics pipeline, the programmer can optimize the usage of the hardware in the pipeline, program vertex, line or triangle topologies altogether rather than each vertex alone, and read any calculated data from memory where the pipeline can output the calculated information.

Apparatus, systems, and methods can operate to provide efficient data clustering, data classification, and data compression. A method comprises training set of training instances can be processed to select a subset of size-1 patterns, initialize a weight of each size-1 pattern, include the size-1 patterns in classes in a model associated with the training set, and then include a set of top-k size-2 patterns in a way that provides an effective balance between local, class, and global significance patterns. A method comprises processing a dataset to compute an overall significance value of each size-2 pattern in each instance in the dataset, sort the size-2 patterns, and select the top-k size-2 patterns to be represented in clusters, which can be refined into a clustered hierarchy. A method comprises creating an uncompressed bitmap, reordering the bitmap, and compressing the bitmap. Additional apparatus, systems, and methods are disclosed.

A method for processing data pixels in a holographic data storage system is disclosed. The method includes assigning predetermined reserved blocks throughout each data page, where each reserved block comprises known pixel patterns, determining position errors of the data page by computing the best match between regions of the data page and the predetermined reserved blocks, and compensating the data pixels at the detector in accordance with the corresponding position errors of the data page.

Estimation of user-specific length of time required to download application program over-the-air onto a remote module, such as a wireless device, is calculated based on data transfer rates for data files sent over network to wireless device preceding a requested download of application program. Data transfer rates are calculated while user of wireless device browses application programs for download and/or purchase. Wireless device utilizes data transfer rates and information representing size of selected application program to estimate length of time required to download application program onto the wireless device and displays estimate to user.

Determining whether two merchant location database entries are describing the same merchant location. A subject merchant location database entry and comparison candidate merchant location database entries include a DBA name field, a street address field, and one or more additional descriptive fields descriptive of one or more predetermined characteristics of the respective merchant location. The subject merchant location database entry is compared to a set populated with candidate merchant location database entries, candidates having a predetermined minimum textural similarity with the subject merchant location database entry on the basis of each entry's DBA name field or street address field. The subject merchant location database entry is compared with each of the candidate database entries on the basis of the one or more additional descriptive fields, and a logistic regression is performed using the results of the comparing, in order to calculate a probability that the database entries refer to the same merchant location.

A system and method for selecting an appropriate transmit power and data rate at which a communication signal is transmitted over a link between nodes in a wireless ad-hoc communication network based on factors such as variations in path loss in the link, fading conditions, noise level estimation and overall link quality. The system and method perform the operations of computing path loss in the link based on information provided to the source node from the destination node pertaining to characteristics of a message that was transmitted by the source node and received by the destination node, determining a noise factor at the destination node, and calculating the power level and rate at which the data is transmitted over the link from the source node to the destination node based on the path loss and the noise factor. More specifically, the method calculates the power level based on the path loss, the noise factor and signal fading, and determines the rate based on the calculated power level. Furthermore, the path loss is computed dynamically as conditions of said link change over time. Accordingly, the system and method are capable of determining the proper level of transmit power and data rate for assuring that the destination node will receive the data transmitted by the source node at a reliability of at least 90%.

A method and system for calculating data traffic flow in a communications network are disclosed. The communications network comprises a plurality of nodes including a plurality of source nodes, a plurality of destination nodes, and a plurality of intermediate nodes. Each of the intermediate nodes includes at least one elbow comprising one ingress interface and one egress interface of the intermediate node. The method includes obtaining local data traffic measurements at each of the elbows, wherein the local data traffic measurements comprise data traffic arriving at the intermediate node via the ingress interface and leaving the intermediate node via the egress interface. The local data traffic measurements are used in calculation of the traffic flow and may be used, for example, to generate data traffic matrix information using data traffic matrix inference or data traffic matrix estimation.

A neurological device having a forearm support releasably attached to a user's arm, at least one finger sleeve adapted to be releasably attached to at least one finger, at least one tensor strut having a first end releasably coupled to the at least one finger sleeve and an opposite second end coupled to the forearm support, at least one sensor coupled to at least one of the at least one finger sleeve and the at least tensor strut and configured to detect finger movement and generate electrical signals that are indicative of the movement, and a data device coupled to the sensor and configured to receive the electrical signals and calculate at least one of a range of motion of the at least one finger, a speed of movement of the at least one finger, number of repetitions between flexion and extension of the at least one finger and a pressure exerted by the at least one finger during flexion from the electrical signals. The calculated data is used to remotely track user compliance and rehabilitation compliance by a healthcare provider.

The invention discloses a spatial non-cooperative target pose estimation method based on model and point clod global matching. The method comprises the steps that target scene point cloud is acquired by using a depth camera, the target scene point cloud acts as data point cloud to be registered after being filtered, and three-dimensional distance transformation is carried out on the target model point cloud; deblurring main directional transformation is carried out on the initial data point cloud to be registered and the target model point cloud, a translation domain is determined, search and registration are carried out in the translation domain and a rotation domain by using a global ICP algorithm, and an initial transformation matrix from a model coordinate system to a camera coordinate system is acquired, namely, the initial pose of a target is acquired; a pose transformation matrix of the pervious frame is enabled to act on data point cloud of the current frame, and registration with a model is carried out by using the ICP algorithm so as to acquire the pose of the current frame; and a rotation angle and a translation amount are calculated from the pose transformation matrix. The method disclosed by the invention has good anti-noise performance and an ability of outputting the target pose in real time, geometric features such as the normal and the curvature of the data point cloud are not required to be calculated, the registration speed is high, and the precision is high.

A storage system comprises a storage array controller and a storage array, which includes multiple storage devices and storage device controllers. The storage array controller initiates scrubbing operation commands on data stored within a first data range using a first level of checksums for that data range. A scrubbing operation reads data from within the first data range from at least one of the storage devices, calculates a new checksum for the data, and compares the new checksum to a preexisting checksum for the data. If the new checksum doesn't equal the preexisting checksum, the data within the first data range is determined to be erroneous, and additional scrubbing operation commands are initiated for subsets of the data within the first data range using a second level of checksums for that data range.

The present invention discloses parallel mass data transmitting middleware of Internet of things and a working method thereof. The invention includes: a data collection module, for forwarding data collected from different types of sensors to an application interaction module after analysis; the application interaction module, for achieving communication between the parallel mass data transmitting middleware of the Internet of things and an application system of the Internet of things, analyzing a control command of the application system of the Internet of things, transmitting to the data collection module, and further transmitting the analyzed sensor data to a data management module; the data management module, for performing data screening, fusion, conversion on the mass data analyzed by the application interaction module, and finally storing the calculated data into the application system of the Internet of things; and a developing regulation module, for setting out a protocol plug-in regulation, a communication channel plug-in regulation, a service field metadata plug-in regulation, etc. The present invention can meet high concurrency access and management of the large scale sensing apparatus of different application fields, various communication channels and various communication protocols.

A method and mechanism for generating object signatures within a file system. A file system is configured to generate signatures for objects such as files. The file system periodically scans objects to identify those which require computation of a new signature. Upon identifying such an object, the file system divides the object into partitions. A transient signature value is then generated for each partition of the object and stored. Upon a subsequent access to the object, a determination may be made as to whether or not a valid signature exists for the object. If a valid signature does not exist for the object, a new signature may be generated for the object by using one or more previously stored valid transient signature values which correspond to particular partitions of the object. The transient signature values which are used may serve as a seed for computation of those transient signature values for object partitions which follow the particular partition. Both object signatures and transient signature values may be cached by the file system and returned in response to requests from user space processes.

This application discloses a method for distinguishing targets from clutter, comprising the steps inputting data, calculating data statistics from said data and using said data statistics to select target specific feature information to distinguish specific targets from background clutter, generating said target specific feature information from said data statistics, extracting said target specific feature information from said data, using said target specific feature information to distinguish specific targets from background clutter, and outputting target and background clutter information. Classification systems, including hardware and software embodiments, are also disclosed.