4841 results about "Numeric Value" patented technology

A method for finding a local extrema for a single processing element having a set of values associated therewith includes separating the set of values into an odd set of values and an even set of values, determining a first extrema from the odd set of values, determining a second extrema from the even set of values, and determining the local extrema from the first extrema and the second extrema. The first extrema is found by comparing each odd-numbered value in the set to each other odd-numbered value in the set and the second extrema is found by comparing each even-numbered value in the set to each other even-numbered value in the set.

Method and apparatus for a fast (low F/number) computational camera that incorporates two arrays of lenses. The arrays include a lenslet array in front of a photosensor and an objective lens array of two or more lenses. Each lens in the objective lens array captures light from a subject. Each lenslet in the lenslet array captures light from each objective lens and separates the captured light to project microimages corresponding to the objective lenses on a region of the photosensor under the lenslet. Thus, a plurality of microimages are projected onto and captured by the photosensor. The captured microimages may be processed in accordance with the geometry of the objective lenses to align the microimages to generate a final image. One or more other algorithms may be applied to the image data in accordance with radiance information captured by the camera, such as automatic refocusing of an out-of-focus image.

Solving a quadratic programming problem involved in training support vector machines by sweeping through a set of training examples, solving small sub-problems of the quadratic programming problem. Each of these sub-problems has an analytic solution, which is faster that the numerical quadratic programming solutions used in the prior art. In one embodiment, training examples with non-optimal Lagrange multipliers are adjusted, one at a time, until all are optimal (e.g. until all examples fulfill the Kuhn-Tucker conditions). In another embodiment, training examples with non-optimal Lagrange multipliers are paired and then adjusted, until all are optimal.

A network data classifier statistically classifies received data at wire-speed by examining, in part, the payloads of packets in which such data are disposed and without having a priori knowledge of the classification of the data. The network data classifier includes a feature extractor that extract features from the packets it receives. Such features include, for example, textual or binary patterns within the data or profiling of the network traffic. The network data classifier further includes a statistical classifier that classifies the received data into one or more pre-defined categories using the numerical values representing the features extracted by the feature extractor. The statistical classifier may generate a probability distribution function for each of a multitude of classes for the received data. The data so classified are subsequently be processed by a policy engine. Depending on the policies, different categories may be treated differently.

The invention provides a method and a terminal for obtaining options by pressing, belonging to the technical field of electronic devices and software. The method comprises the steps of: for a terminal device with a touch screen, setting pressure level range, setting time threshold for outputting corresponding options, wherein different levels are corresponding to corresponding options; at least two levels are included; the options are used for triggering corresponding preset functions; 2, collecting pressure value applied by the touch screen, detecting duration under the corresponding pressure value; 3, judging pressure level subordinating to the collected pressure value and time threshold; entering the next step on the corresponding condition; and 4, outputting options corresponding to the pressure level. The method can obtain the options corresponding to the preset function by collecting different pressure values applied on the touch screen by the user.

Systems, methods, and apparatuses for high-speed navigation. The present invention preferably encompasses systems, methods, and apparatuses that provide for autonomous high-speed navigation of terrain by an un-manned robot. By preferably employing a pre-planned route, path, and speed; extensive sensor-based information collection about the local environment; and information about vehicle pose, the robots of the present invention evaluate the relative cost of various potential paths and thus arrive at a path to traverse the environment. The information collection about the local environment allows the robot to evaluate terrain and to identify any obstacles that may be encountered. The robots of the present invention thus employ map-based data fusion in which sensor information is incorporated into a cost map, which is preferably a rectilinear grid aligned with the world coordinate system and is centered on the vehicle. The cost map is a specific map type that represents the traversability of a particular environmental area using a numeric value. The planned path and route provide information that further allows the robot to orient sensors to preferentially scan the areas of the environment where the robot will likely travel, thereby reducing the computational load placed onto the system. The computational ability of the system is further improved by using map-based syntax between various data processing modules of the present invention. By using a common set of carefully defined data types as syntax for communication, it is possible to identify new features for either path or map processing quickly and efficiently.

A glucose sensor system comprising the steps of using as a sample discriminating parameter a ratio (I/ΔI) of a measured current value I to the time-differential value of the current value ΔI, defining a discrimination function that discriminates whether a sample is blood or control fluid and uses the discriminating parameter as an independent variable, quantitating as a discriminating index a numeric value obtained by substituting a discriminating parameter value into this discrimination function, and automatically discriminating, based on this index, whether the sample is blood or a control fluid, whereby a kind of the sample can be automatically quantitated by measuring electric current when a sensor system is used for quantitating the concentration of an analysis object in the sample.

A robust computational secret sharing scheme that provides for the efficient distribution and subsequent recovery of a private data is disclosed. A cryptographic key may be randomly generated and then shared using a secret sharing algorithm to generate a collection of key shares. The private data may be encrypted using the key, resulting in a ciphertext. The ciphertext may then be broken into ciphertext fragments using an Information Dispersal Algorithm. Each key share and a corresponding ciphertext fragment are provided as input to a committal method of a probabilistic commitment scheme, resulting in a committal value and a decommittal value. The share for the robust computational secret sharing scheme may be obtained by combining the key share, the ciphertext fragment, the decommittal value, and the vector of committal values.

A tag adapted to be applied to an object is disclosed. The tag includes a wireless communication interface, a processor and a memory. A univocal code, a cipher key and a count value are store in the memory. The tag generates a dynamic code as a function of the cipher key and the count value. Next, the tag varies the count value according to a determined operation, and stores the varied count value in the memory. The tag transmits the univocal code and the dynamic code to a reader device. The tag may transmit the univocal code and the dynamic code in a URL.

Provided a computerized system and method of automated auditing a range of rules associated with an enforced security policy. The method comprises automated obtaining log records assigned to a first rule within the range of rules and logged during a counted period, each said log record comprising a unique rule identifier and recorded values of respective arguments comprised in the rule; counting a number of records matching certain recorded values and logged within certain time intervals within the counted period (counted values); and automated generating a counted log record assigned to said rule, said record comprising the unique rule identifier, the counted period, recorded values of the rule arguments and respective counted values. The method further comprises obtaining a plurality of objects engaged in said first rule; resolving a first object among said plurality of objects to a set of resolved values; matching said resolved values to the recorded values of the respective arguments, said recorded values comprised in the counted log record assigned to said rule; counting each match in accordance with respective counted value, thus giving rise to a plurality of matching values of the resolved values; and using the plurality of matching values for analysis related to usage of the first object.

Method and System for Cyber-Security Vulnerability Detection and Compliance Measurement (CDCM) provides any entity, organization or individual with access to or possession of sensitive, confidential or secret information, defined as “protected information,” in digital format that is received, processed, stored or distributed by a computer, computer system or digital processing equipment with the capability to detect and respond to cyber security vulnerabilities and to measure compliance with cyber-security requirements as established by the Federal Security Information Management Act (FISMA) for the security of protected information and certain additional related desirable or mandatory cyber-security requirements. In one sample embodiment of the invention, the method utilizes a damage assessment function; a security assessment function; a security plan or planning function; a training management function; a response management function; a cyber-security management function; a scoring measurement function; and a review and analysis function; to establish a quantifiable and definitive numerical measurement of the relative compliance of a specific processing system, at a specific point in time, to a defined and established threshold value of performance, or compliance acceptance, and to provide, assemble and be capable of archiving the supporting parameters, status, states and analysis that is specifically associated with the numerical value which represents the specific processing system's state of compliance at the specified time and to utilize various intermediate values and parameters to manage and enhance the performance of the specific system thereby improving the systems compliance score and numerical performance measurement value.

Certain embodiments of the present invention provide a system and method for processing medical data. The method includes the steps of identifying text strings in medical data, associating the text strings with standardized identifiers from a library, and outputting the standardized identifiers associated with the text strings. In an embodiment, a report and/or an order including the standardized identifiers associated with the text strings may be printed and/or stored. In an embodiment, the library may be modified to accommodate the text strings. A user and/or software program may be used to review the text strings to associate the standardized identifiers with the text strings, for example. In an embodiment, the text strings may be deconstructed into a plurality of sub-strings. A standardized identifier is then associated with each sub-string. The standardized identifiers may be numeric values, for example.

A method of performing numerical computations in a mathematical system with at least one function, including expressing the mathematical system in discrete terms, expressing at least one variable of the mathematical system as a fixed-point number, performing the computations in such a way that the computations include the at least one variable expressed as a fixed-point number, obtaining, from the computations, a resulting number, the resulting number representing at least one of at least a part of a solution to the mathematical system, and a number usable in further computations involved in the numerical solution of the mathematical system, and extracting a set of data which represents at least one of a subset of digits of the resulting number, and a subset of digits of a number derived from the resulting number.

When image data of a bar code displayed on a cellular phone and read by a vending machine or the like are sent to a server apparatus, the apparatus converts the code to a numerical value. The apparatus divides the code value by divisor A to obtain remainder a, and divides the code value by divisor B to obtain remainder b. The least common multiple for the numeric value A and the numeric value B is greater than the difference between the maximum and minimum values that the bar code value assumes. The apparatus refers pointers registered in a storage position corresponding to remainder a in the first table and pointers registered in a storage position corresponding to remainder b in the second table. The apparatus authenticates the user when the same user information in a user database can be accessed from both the first table and the second table.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

A keyboard includes rows of keys defining a keyboard axis and side borders of the keyboard, the keyboard axis disposed mediate the side borders of the keyboard, the rows of keys disposed in series with each other along the keyboard axis, and the keyboard axis being disposed at an acute or obtuse angle relative to a user of the keyboard and being generally aligned along a length of an arm of the user holding the keyboard. Each key may be also defined by a unique region of numeric values or a unique region of color pixels allowing ease in changing keyboard location, size and orientation.

An error logging and analysis system is used to detect a type of error condition, assign a numeric value corresponding to the severity of the error condition, record the time of the error condition, and determine the frequency between subsequent error conditions of the same type. A weighted error rate is generated as a function of the severity of the initial error condition, the frequency of subsequent error conditions, and a percentage of any preceding weighted error rates. These weighted error rates are compared to a predetermined threshold to determine if the error condition is statistically significant.

A system, method, and computer program product to automatically eliminate the distribution information available for reconstruction from a disguised dataset. The invention flattens input numerical values into a substantially uniformly distributed dataset, then maps the uniformly distributed dataset into equivalent data in a target distribution. The invention allows the incremental encryption of new values in an encrypted database while leaving existing encrypted values unchanged. The flattening comprises (1) partitioning, (2) mapping, and (3) saving auxiliary information about the data processing, which is encrypted and not updated. The partitioning is MDL based, and includes a growth phase for dividing a space into fine partitions and a prune phase for merging some partitions together.

A system for deriving a rating representative of a level of cybersecurity of a user is configured to execute steps of a method comprising (i) requesting, from the user, identifying information about the user; (ii) requesting, from the user, input in response to a set of predetermined questions provided to the user based on the identifying information about the user; (iii) collecting, based on at least the identifying information, public domain data about the user and data from the user's digital assets; and (iv) computing, based on the collected data and the input to the set of predetermined questions provided by the user, a numerical value defining the cybersecurity rating.

A fingerprint sensor with programmable sensing patterns is disclosed in one embodiment of the invention as including a fingerprint sensing circuit having multiple I/O interconnects. The I/O interconnects are configured to sequentially drive a plurality of fingerprint sensing elements. A memory device may be operably coupled to the fingerprint sensing circuit. A programmable data structure, such as a table, file, character string, numeric value, array, or the like may be stored in the memory device to designate a pattern for driving the fingerprint sensing elements. The fingerprint sensing circuit is configured to drive the fingerprint sensing elements according to the designated pattern. In selected embodiments, the fingerprint sensing elements may include transmitting elements, receiving elements, or a combination thereof.

Systems and methods for generating segments of real property transactions by clustering base geographic units are provided. According to one embodiment, information regarding real property transactions is received, each transactions corresponds to a base geographic unit based on a physical location of a real property associated with the transaction at issue. For each value of a clustering function represented within the real property transactions, relatively homogeneous segments of transactions are built by aggregating transactions of the base geographic units into clusters based on a predetermined similarity function evaluating corresponding numerically valued attributes associated with the base geographic units until each segment has a sufficient number of transactions to provide desired accuracy, reliability or usefulness in the context of desired numerical modeling or analysis and all real property transactions have been assigned to a segment. Then, the desired numerical modeling or analysis can be performed based on the resulting segments.

A learning computer system may include a data processing system and a hardware processor and may estimate parameters and states of a stochastic or uncertain system. The system may receive data from a user or other source; process the received data through layers of processing units, thereby generating processed data; apply masks or filters to the processed data using convolutional processing; process the masked or filtered data to produce one or more intermediate and output signals; compare the output signals with reference signals to generate error signals; send and process the error signals back through the layers of processing units; generate random, chaotic, fuzzy, or other numerical perturbations of the received data, the processed data, or the output signals; estimate the parameters and states of the stochastic or uncertain system using the received data, the numerical perturbations, and previous parameters and states of the stochastic or uncertain system; determine whether the generated numerical perturbations satisfy a condition; and, if the numerical perturbations satisfy the condition, inject the numerical perturbations into the estimated parameters or states, the received data, the processed data, the masked or filtered data, or the processing units.

In a solid-state imaging device with an AD converter mounted on the same chip, to enable an efficient product-sum operation while reducing the size of the circuit scale and the number of transmission signal lines. A pixel signal during an n-row readout period is compared with a reference signal for digitizing this pixel signal, and a counting operation is performed in one of a down-counting mode and an up-counting mode while the comparison processing is being performed, and then, the count value when the comparison processing is finished is stored. Subsequently, by using the n-row counting result as the initial value, a pixel signal during an (n+1)-row readout period is compared with the reference signal for digitizing this pixel signal, and also, the counting operation is performed in one of the down-counting mode and the up-counting mode, and then, the count value when the comparison processing is finished is stored. If the count mode for the n+1 row is set to be opposite to the count mode for the n row, the count value obtained by the counting operation for the n+1 row is a subtraction result. If the count modes for the n+1 row and the n row are set to be the same, the count value obtained by the counting operation for the n+1 row is an addition result

The invention discloses a fixed-point method for a floating-point operation. The method comprises the steps that according to a preset numerical range and the calculation precision requirement, the exponents and significant bits of adjustable-precision floating-point data are adjusted, and the parameter data in a single-precision floating-point format are converted into adjustable-precision floating-point data; when calculating is carried out, the adjustable-precision floating-point data are converted into fixed-point data and used for calculation, and an intermediate result generated by calculation is converted into adjustable-precision floating-point data; a final result is generated after all calculation; and the final result is converted to data in the single-precision floating-point format. According to the invention, standard floating-point data can be represented with a 16-bit bit width or a smaller bit width to realize fixed-point conversion of the floating-point operation; the storage space is saved; the operation performance is improved; and the calculation precision is not influenced.