710 results about "Pattern detection" patented technology

A pattern detecting apparatus has a plurality of hierarchized neuron elements to detect a predetermined pattern included in input patterns. Pulse signals output from the plurality of neuron elements are given specific delays by synapse circuits associated with the individual elements. This makes it possible to transmit the pulse signals to the neuron elements of the succeeding layer through a common bus line so that they can be identified on a time base. The neuron elements of the succeeding layer output the pulse signals at output levels based on a arrival time pattern of the plurality of pulse signals received from the plurality of neuron elements of the preceding layer within a predetermined time window. Thus, the reliability of pattern detection can be improved, and the number of wires interconnecting the elements can be reduced by the use of the common bus line, leading to a small scale of circuit and reduced power consumption.

Enabling dynamic, computer-driven, context-based detection of social network patterns within an input graph representing a social network. A Social Network Aware Pattern Detection (SNAP) system and method utilizes a highly-scalable, computationally efficient integration of social network analysis (SNA) and graph pattern matching. Social network interaction data is provided as an input graph having nodes and edges. The graph illustrates the connections and/or interactions between people, objects, events, and activities, and matches the interactions to a context. A sample graph pattern of interest is identified and/or defined by the user of the application. With this sample graph pattern and the input graph, a computational analysis is completed to (1) determine when a match of the sample graph pattern is found, and more importantly, (2) assign a weight (or score) to the particular match, according to a pre-defined criteria or context.

A data processing system and method for developing predictions regarding future asset price movements, based on pattern detection in a time sequence of historical price data. The system includes computer implementation of a kernal regression to effect a smooth estimator of the non-linear price-time relationship. As tested against known patterns, the system provides an expectation regarding a future price movement.

A control strategy for distributed power generation modules in a power system that varies the line frequency or voltage according to a predetermined pattern to cause a PV inverter to modify its power output and thereby avoid overcharging a battery. When the power system operates in islanded mode, the AC load demand can be lower than the available energy from the PV array, causing the battery to become overcharged. To avoid this scenario, a hybrid inverter executes a pattern generator algorithm that varies the line frequency or voltage linearly, exponentially or any mathematical function or look-up tables. The PV inverter executes a pattern detection algorithm that detects the linear, exponential, or any mathematical function or look-up table change in the line frequency. In response, the PV inverter modifies its power output until an overcharging condition of the battery is removed. The line frequency/voltage can be varied within the anti-islanding limits to avoid premature disruption of the power system, and no additional settings are required at the device level in order to operate in any mode of operation: islanded, grid-connected or genset-connected.

An apparatus and a method for cell search in an orthogonal frequency division multiplexing-based mobile communication system using a multiple access scheme. The method includes the steps of: detecting a symbol boundary of an input reception signal; detecting a frame cell boundary after synchronizing with the detected symbol boundary; detecting a reference signal for each symbol interval in a preset search interval; and detecting a pattern of the detected reference signals and detecting a base station to which the terminal belongs.

What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera's visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.

The present invention enables permanent biometric authentication without the risk of forgery or the like. The present invention enables living-tissue discrimination as well as biometric authentication. The roughness distribution pattern of deep-layer tissue of the skin covered with epidermal tissue is detected, thereby extracting a unique pattern of the living tissue. Then, biometric authentication is performed based upon the detected pattern. The roughness distribution pattern of the deep-layer tissue of the skin is optically detected using difference in optical properties between the epidermal tissue and the deep-layer tissue of the skin. In this case, long-wavelength light, e.g., near-infrared light is used as illumination light cast onto the skin tissue. A fork structure of a subcutaneous blood vessel is used as the portion which is to be detected, for example. The portion which is to be detected is determined based upon the structure of the fork structure. In this case, the living-tissue discrimination may be made using the subcutaneous blood vessel.

In a multi-modal user interface, user inputs may be made in various different ways. For instance, the user might use a keyboard, a speech system, a vision system, a mouse or pen. Different inputs made by the user may be related and may have different significance. A processing system detects and resolves ambiguities and/or conflicts in inputs made by the user using the different input modes available.

A system and method is provided for detecting malicious data such as, for example, viruses in a computer network. More specifically, system and method utilizes filters to detect pre-identified patterns or threat signatures in a data stream. In one embodiment, a deep packet inspection system for detecting a plurality of malicious programs in a data packet received from a network, wherein each malicious program has a unique pattern comprising a plurality of segments, includes a plurality of pattern detection modules configured to receive one or more data packets in parallel, wherein each of the plurality of pattern detection modules has an output, and one or more long pattern state machines coupled to the outputs of the plurality of pattern detection modules. The deep packet inspection system is configured to detect a pattern of any length at any location within a data packet.

A computer-implemented system and method for translating a SPARQL query. The system includes: a parser/lexer for parsing the SPARQL query; a hidden negative pattern detector for detecting a hidden negative pattern in the parsed SPARQL query; a hidden negative pattern translator for translating the detected hidden negative pattern into an explicit negative pattern; a separator for separating the explicit negative pattern from a positive pattern in the parsed SPARQL query; a negative pattern translator for translating the explicit negative pattern into a negative portion of an SQL statement; a positive pattern translator for translating the positive pattern into a positive portion of the SQL statement; and an SQL statement combiner for combining the negative portion of the SQL statement with the positive portion of the SQL statement.

The present invention provides a scattered pilot (SP) location detector capable of detecting patterns of SP symbols promptly without using a TMCC signal. The SP location detector comprises a multiplier which multiplies received signals generated by demodulating OFDM modulation signals in which pilot symbols are dispersively disposed in accordance with four types of patterns and which are transmitted periodically, by a pseudo-random number bit sequence, four arithmetic circuits which are respectively provided corresponding to the four types of patterns and which respectively extract pilot symbols corresponding to respective patterns from results of multiplication by the multiplier and calculate sums of phase differences between the extracted pilot symbols, followed by outputting absolute values thereof, and a pattern detection circuit which detects the corresponding arithmetic circuit maximum in the calculated absolute value from within the four arithmetic circuits.

A fixed pattern detection device in which the device is fed as a received signal with a pattern of a length of N chips. The received signal is obtained by dividing and re-arraying each of K (integer) symbols in terms of a chip period as a unit, each symbol being spread with the spread code (PN) at a rate of M (integer) chips per symbol, and on repeatedly inserting into the re-arrayed symbols a signature pattern of a length K having one chip period as a unit, by M times, where N=K×M. The device includes first-stage correlators taking correlation between M received signals and M spread code sequences obtained on decimating a spread code sequence of a length N, and a second stage correlators taking correlation between the correlation values associated with K signatures output by the first-stage correlators and a pre-defined signature pattern.

A method of analyzing a multithreaded application for an antipattern is presented. An antipattern test is selected from a library of available antipatterns. An analysis tool is determined in response to the selected antipattern. The analysis tool is processed against the multithreaded application for the selected antipattern for purposes of detecting coding deficiencies in the multithreaded application as defined by the antipattern.