56 results about "Signature vector" patented technology

Transformations of digital records are used as lowest level inputs to a tree data structure having a root in a core system and having nodes computed as digital combinations of child node values. A combination of root values is published in a permanent medium. Signature vectors are associated with the digital records and have parameters that enable recomputation upward through the tree data structure to either a current root value or to the published value. Recomputation yields the same value only if a candidate digital record is an exact version of the original digital record included in the original computation of the value.

Transformations of digital records are used as lowest level inputs to a tree data structure having nodes computed as digital combinations of child node values up to a current calendar value. Signature vectors are generated for each of the digital records and have parameters that enable recomputation of the respective current calendar. Recomputation yields the same calendar value only if a candidate digital record is an exact version of the original digital record included in the original computation of the value. Either the current calendar value, or a function of a plurality of calendar values over a period, is encoded in a transaction value that is stored in a block of a blockchain.

Systems and methods for the sharing, collaborative reviewing and freestyle multiparty signing of an electronic document. The system and method to stream an electronic document from a CSR system onto a touchscreen device for real time and multiple signature placement anywhere within an electronic document. Placement of signature is determined by tapping and holding any point on a document to create a signature box which can be relocated and anchored anywhere on the electronic document. The electronic document is then signed via a touchscreen device and the system captures signature vector-based individual strokes and timing data of the signature strokes and stored with the document. The system uses a camera to take a picture of the signee and embeds the image, time stamp, location, and signature data in the electronic document.

An apparatus (520) for archiving signatures associated with packets received at a node in a network includes a first memory (620), a second memory (625), a signature tap (610), a multiplexer (615), and a controller (630). The signature tap (610) receives packets at the node and computes one or more signatures for each of the received packets. The multiplexer (615) aggregates the computed one or more signatures in the first memory (620) to produce one or more signature vectors. The controller (630) archives the one or more signature vectors in the second memory (625).

A system and method provide a soundtrack recommendation service for recommending one or more soundtrack for a video (i.e., a probe video). A feature extractor of the recommendation service extracts a set of content features of the probe video and generates a set of semantic features represented by a signature vector of the probe video. A video search module of the recommendation service is configured to search for a number of video candidates, each of which is semantically similar to the probe video and has an associated soundtrack. A video outlier identification module of the recommendation service identifies video candidates having an atypical use of their soundtracks and ranks the video candidates based on the typicality of their soundtrack usage. A soundtrack recommendation module selects the soundtracks of the top ranked video candidates as the soundtrack recommendations to the probe video.

A method of automatically categorizing an input image comprises extracting texture features of the input image and generating a signature vector based on extracted texture features. The generated signature vector is processed using at least one classifier to classify the input image.

A full-rate distributed space-time (ST) code design is provided for amplify-and-forward cooperative wireless channels. A signal space diversity technique is employed at the source node and a unique signature vector at each relay node. The distributed space-time (ST) codes can achieve full cooperative diversity and full rate. The achievable diversity gain is M+1, where M is the number of relay nodes. Optimal power allocation can be used to maximize the coding gain under a total power constraint.

The present invention relates to a device, system and a method for extracting physiological information indicative of at least one vital sign of a subject. To provide a high motion robustness, the proposed device comprises an input interface configured to obtain at least two detection signals derived from detected electromagnetic radiation transmitted through or reflected from a skin region of a subject, wherein each detection signal comprises wavelength-dependent reflection or transmission information in a different wavelength channel, a pulse signal computation unit configured to compute at least two pulse signals from said at least two detection signals using different signature vectors for the computation of each pulse signal, a quality indicator computation unit configured to compute quality indicator values for said pulse signals indicating a characteristic of the respective pulse signal, and a processing unit configured to derive physiological information indicative of at least one vital sign from the signature vector that results in the pulse signal with the best quality indicator value and/or from said pulse signal.

A method is disclosed for operating a synchronous space division multiple access, code division multiple access communications system. The method operates, within a coverage area of a base station (BS) or radio base unit (RBU) having a multi-element antenna array, for estimating a SSV for individual ones of a plurality of active subscriber stations (SSs) and assigns a spreading code to a subscriber station (SS) that minimizes the similarity of the determined SSVs of the SSs in a spreading code set. A metric used to measure the similarity of the spatial signature vectors of the SSs comprises the squared sum of the inner products of same code SSs' SSV with a current SS's SSV. The step of assigning includes calculating the magnitude of the squared inner product of the SSVs of all pairs of active SSs; using the calculated values for determining ξ_n(c) for each spreading code that is not already used some specified maximum number of times; and assigning to a SS the spreading code with a minimum ξ_n(c).

A method is disclosed for operating a synchronous space division multiple access, code division multiple access communications system. The method operates, within a coverage area of a base station (BS) or radio base unit (RBU) having a multi-element antenna array, to assign spreading codes to users. The method estimates a spatial signature vector (SSV) for a current subscriber station; uses the estimated SSV as a weight vector when determining the output power that is correlated with each of a plurality of spreading code sequences and assigns a spreading code to the current subscriber station that is determined to have the minimum output power. The step of determining the output power includes steering a beamformer toward the current subscriber station by setting the weight vector equal to the SSV, and also determines the average squared value of the antenna array output that has been despread using a code i. The multi-element antenna array has M elements, and the step of determining the output power operates an M-branch receiver to despread a signal received on each element with a spreading code i, to accumulate the despread signal over a symbol duration, to scale the accumulated signal by the weight vector, to sum all of the scaled values and to square the result, and to average the squared result over R samples to determine the output power for code i for the current subscriber station. R may have a value in the range of about 16 symbols to about 64 symbols, and may be fixed or variable.

A method and system for identifying and labeling fraudulent store return activities includes receiving, by a server, retailer events from an online transaction system of a retailer, the retailer events comprising records of transactions between customers and the retailer, including sale, exchange and return activities across multiple stores. The retailer events are processed to build a network that associates stores, transactions, payment instruments, and customer identification over related activity sequences of transactions. Return fraud labels are generated for the retailer events representing returns based on identified fraud characteristics of the related activity sequences by: representing behavior variables extracted from activity sequences by respective signature vectors; calculating pairwise similarity between the signature vectors; identifying clusters of the signature vectors having common behavior patterns based on the calculated pairwise similarity; and labeling the identified clusters of signature vectors as non-fraudulent behavior or fraudulent behavior.

Systems and methods for receiving and indexing native digital data and generating signature vectors for subsequent storage and searching for such native digital data in a database of digital data are disclosed. Native digital data may be transformed into associated transform data sets. Such transformation may comprise entropy-like transforms and/or spatial frequency transforms. The native and associated transform data sets may then be partitioned in to spectral components and those spectral components may have statistical moments applied to them to create a signature vector. Other systems and methods for processing non-image digital data are disclosed. Non-image digital data may be transformed into an amplitude vs time data set and a spectrogram may then be applied to such data sets. Such transformed data sets may then be processed as described.

Technologies are generally described for using metrics of radio path characteristics within a wireless network to establish signal signature vectors. These signal signature vectors may be used as a shared secret between network nodes to establish affirmative identification. For example, a signal signature vector may be established when a new node sends a fixed number of packets to the existing nodes and the existing nodes send a fixed number of other packets back to the new node. The number of properly received packets can be counted to establish a success probability between the new node and each existing node. These probabilities can be normalized and quantized to generate signal signature vectors at each node. Without every transmitting any of the vectors, the vector at the new node should be highly correlated to the vectors at existing nodes since the pair-wise channels between each of the nodes should be reasonably symmetrical.

An embodiment of the invention discloses an exchange method and an exchange node of metadata in an opportunity network. The exchange method and the exchange node are used for the technical field of information to provide an improvement mode of dynamic signature vector aiming at resolving the problem in the prior art that solutions of metadata exchange in the opportunity network are insufficient, and especially a signature vector method has shortcomings. A node A generates a new vector element when the node A receives news transmitted by a node B, and the new vector element is survival time of two-tuples that information transmitted to the node B from the node A corresponds to. The node A adds the two-tuples into the dynamic signature vector that the information corresponds to. If the dynamic signature vector contains the two-tuples, two-tuples that larger ones in the sum correspond to are added in to update the dynamic signature vector that the information corresponds to. The exchange method and the exchange node add overtime processing and node elimination prediction mechanisms on the basis of the prior signature vector and improve synchronism of metadata between the nodes.

Method for SEL mitigation involves determining one or more base sets of signature vector components for each of a plurality of signal loading conditions experienced by a protected device in an operating state, each set of base signature vector components together comprising a base signature vector. The method further involves monitoring signature vector components for the protected device to determine a detected signature vector which is comprised of a set of detected signature vector components. The detected signature vector is compared to a dynamically selected base signature vector which is associated with the device state and signal loading condition which are currently active to differentiate between the occurrence of standard current surges associated with normal operation of the protected device and a non-standard current surge.

A signature generation apparatus and a signature verification which can surely prevent occurrence of inappropriate signature verification error are provided

A signature generation apparatus (110) includes a signature generation unit (114) which calculates a signature vector (s, t) for a message m using a private key, and generates signature data S indicating polynomials sl and sh that can specify the polynomial s and a polynomial th which is a quotient when the polynomial t is divided by q.

A system and method for reducing scan line jitter in laser scan systems employing a rotating mirror, including a controller for determining a unique time delay for each mirror facet and controlling laser sources so that video provided by each laser source is delayed in a scan line by the unique time delay corresponding to the mirror facet used in creating the scan line. The controller computes a facet map signature vector corresponding to each mirror facet matches the signature to a previously stored signature and assigns distance offset data to the mirror facets based upon the matching.

The invention relates to a method of analysing flight data recorded during N flights of at least one aircraft, by means of a flight data recorder of an aircraft, the data being grouped together by flight i in a signature vector of the flight X_i of size d, the components of which correspond to data recorded during said flight i of the aircraft, a flight i being thus defined by the signature vector X_i, the method comprising the following steps: Gaussian kernel entropy component analysis of the flight signatures X_i to obtain a zone of normal flights and classifying the flight signatures X_i with respect to their distance to said zone; determining, for each flight i, an abnormality score z_i defined by the distance of a flight signature X_i with respect to the zone of normal flights; detecting, as a function of the abnormality score z_i, at least one abnormal flight.