260 results about "Duplicate detection" patented technology

A system and method for detecting duplicate checks during processing. The duplicate detection may be performed by a financial institution, such as a bank. The method may be implemented on a computer based system. The duplicate detection method may be automated. The method may be applied to incoming check files prior to processing of the check data to prevent processing of duplicate checks. The system and method may use a function, such as a hash function, to perform the duplicate detection. Other functions, such as a Bloom filter which may use multiple hash functions, may be used to perform the duplicate detection.

A system and method for instrumenting program instructions. A processing system includes a compiler and a profiler. The profiler is configured to instrument an application by inserting one or more instrumentation instructions in the application. During execution of the application, execution is monitored and a particular condition is detected. Responsive to the condition, a portion of the code which corresponds to the detected condition is identified. A request is conveyed for recompilation of code which corresponds to code. Prior to recompilation of the code, the profiler instruments the portion of code. Execution and monitoring of the execution continue, and instrumentation/recompilation may be repeated. Initially, relatively little of the application code may be instrumented. As execution and monitoring continues, more and more of the application code may be dynamically instrumented during execution.

A duplicate detection system is provided for analyzing and processing documents received at one or more capture sites. A physical document may be electronically captured at a capture site and subsequently transmitted to a regional or central processing system. The regional or central processing system may receive capture documents from multiple capture sites. The processing system may analyze the captured documents to identify and flag false-positives prior to performing duplicate detection. Duplicate detection may be performed in accordance with predefined rules associated with false-positive flags. Once duplicate detection is complete, suspected duplicates may undergo manual review while non-duplicates are released for posting or dispatching.

A system and method for MICR-based duplicate detection and management identifies duplicate presented items on day one across a plurality of payment channels, prior to posting, preventing them from impacting financial institution customers by rerouting to an adjustments team. Inquiry files containing MICR data for a plurality of presented items are evaluated by a duplicate detection module. Each item presented is evaluated against all previous items based on its MICR line. Unique items are processed in the usual manner. Duplicate suspects undergo further processing. Suspects having identical MICR data, but that are not duplicates, such as NSF (non-sufficient funds) checks being re-deposited, are identified and posted. The remaining suspects go in the suspect queue of a universal workstation. After being researched, suspects found not to be duplicates are posted. The remaining suspects are flagged as duplicates and routed to an adjustor for further action.

Preventing duplicate ICL files and/or ICL file elements, including duplicate ICLs, items, and item bundles, from being processed for payment and/or presentment. A duplicate detection module can assign a predictable and repeatable unique identifier to each ICL file and/or ICL file element. The duplicate detection module can determine whether each ICL file and/or element is a duplicate by comparing the identifier associated with the ICL file and/or element with information stored in a record of already processed files/elements. In response to determining that an ICL file and/or element is a duplicate, the duplicate detection module can determine not to process the file/element for payment and/or presentment. In response to determining that the ICL file and/or element is not a duplicate, the duplicate detection module can store information regarding the file/element in the record. For example, the stored information can include the unique identifier associated with the file/element.

The invention relates to a method and system for monitoring the behaviour of at least one observable object, e.g. a network element, of a network, wherein at least one parameter of the observable object is repeatedly detected. An actually detected parameter is input to a learning process and to an analyzing process, wherein the learning process forms a reference, based on at least two detected parameter values, for describing the behaviour of the observable object. The analyzing process compares the input parameter and the reference for detecting an anomal behaviour. The parameter preferably is a vector which comprises several values describing properties or functioning of the observable object, and is formed based on events and/or reports from the object.

An image processing apparatus which processes an input image to detect a specified object of interest that is recorded in the input image is provided. The apparatus has a detection unit and a position determining unit. The detection unit has a plurality of identifying subunits each of which identifies an object from the input image under a different condition. The detection unit detects a region of the identified object. The position determining unit calculates the position coordinates of the object of interest in the input image from the region of the identified object. The detection unit performs the identification and the detection repeatedly and the detection unit performs the identification and the detection by using a detected region of an identified object in the previous identification. The detection unit detects the specified object of interest using the repeatedly detected regions.

The subject invention is directed to a computer-implemented method, a device and a system for detecting and scoring exercises, including maintaining, by a mobile device, a library of motion signatures, in which a motion signature for an exercise is a sequence of characteristic features and a characteristic feature is a movement in the exercise; receiving, by a mobile device, a time series of data from a sensor device, the sensor device attached to the head or torso of a user, the data comprising accelerometer data from an accelerometer included in the sensor device, detecting a single repetition of a designated exercise performed by the user and calculating a motion score for the single repetition of the detected exercise.

An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.

The present invention includes a method and device for detecting duplicate documents by triangulation. Particular aspects of the present invention are described in the claims, specification and drawings.

A memory management service occupies a configurable portion of an overall memory system in a disaggregate compute environment. The service provides optimized data organization capabilities over the pool of real memory accessible to the system. The service enables various types of data stores to be implemented in hardware, including at a data structure level. Storage capacity conservation is enabled through the creation and management of high-performance, re-usable data structure implementations across the memory pool, and then using analytics (e.g., multi-tenant similarity and duplicate detection) to determine when data organizations should be used. The service also may re-align memory to different data structures that may be more efficient given data usage and distribution patterns. The service also advantageously manages automated backups efficiently.

A method detects similar objects in a collection of such objects by modification of a previous method in such a way that per-object memory requirements are reduced while false detections are avoided approximately as well as in the previous method. The modification includes (i) combining k samples of features into s supersamples, the value of k being reduced from the corresponding value used in the previous method; (ii) recording each supersample to b bits of precision, the value of b being reduced from the corresponding value used in the previous method; and (iii) requiring l matching supersamples in order to conclude that the two objects are sufficiently similar, the value of l being greater than the corresponding value required in the previous method. One application of the invention is in association with a web search engine query service to determine clusters of query results that are near-duplicate documents.

A three-dimensional position and motion telemetry computer input apparatus includes a wireless movable element configured to repeatedly transmit encoded signals in at least three mutually distinct directions. A set of at least three unidimensional signal detectors are disposed in spaced relation to one another and configured to repeatedly detect in real-time, the amplitude of the encoded signals incident thereon. A controller is configured to repeatedly capture data corresponding to the signal amplitude, in real-time. A calculation engine repeatedly determines the 3-D position of the movable element using the captured data. At least one output port coupled to the calculation engine, repeatedly transmits the 3-D position of the movable element to a data consumer in real time.

Disclosed is a cipher key setting system wherein the access point detects the terminals connected to the wireless LAN through the access point itself repeatedly at each predetermined time, reviews the adopted cipher systems when there are replacements of the terminals participating in the wireless LAN and a decrease in the number of the terminals, and adopts a cipher system according to the guideline ‘selecting the cipher system of the highest security level among the cipher systems that the devices building up the network can commonly adopt’. The system prevents the security setting from being maintained at a needlessly low level, after a certain terminal withdrew from the network or after some terminals were replaced.

Systems and methods for differential document analysis and storage are provided. Specifically, the system can be configured to perform one or more differential analyses on a set of documents to detect and measure changes in language across entire sets of documents of a similar type, as well as changes in language in the specific objects (e.g., document sections, paragraphs, clauses) of the documents. The system comprises three primary components: document parsing, textual near-duplicate detection, and morphological analysis. The document parsing component breaks documents down into objects and creates indexes for each full document and components of the document. These indexes enable documents and objects to be compared for similarity using the near-duplicate detection component, which implements various similarity analysis algorithms. The morphological analyses component is configured to search the documents for particular language or sections and compare documents in which the searched language is present.

A system to monitor the integrity of a railway track is provided. The system comprises a mechanical signal source and a correlation detector. The mechanical signal source coupled to the railway track and is configured for generating a mechanical signal pulse train over the railway track. The correlation detector monitors the integrity of the railway track by observing the pulse trains transmitted by the mechanical signal sources. If the railway track is intact, then the pulse train will travel to the correlation detector and afford the opportunity for repeatable detection.