428 results about "Truth value" patented technology

A flash memory has multi-level cells (MLC) that can each store multiple bits per cell. Blocks of cells can be downgraded to fewer bits / cell when errors occur, or for storing critical data such as boot code. The bits from a single MLC are partitioned among multiple pages to improve error correctability using Error Correction Code (ECC). An upper reference voltage is generated by a voltage reference generator in response to calibration registers that can be programmed to alter the upper reference voltage. A series of decreasing references are generated from the upper reference voltage and are compared to a bit-line voltage. Compare results are translated by translation logic that generates read data and over- and under-programming signals. Downgraded cells use the same truth table but generate fewer read data bits. Noise margins are asymmetrically improved by using the same sub-states for reading downgraded and full-density MLC cells.

An retention flash controller reads assigned-level bits from a bad block / erase count table or from a page status table that indicate when flash memory cells operate as Triple-Level-Cell (TLC), Multi-Level-Cell (MLC), or Single-Level-Cell (SLC). Pages that fail as TLC or MLC are downgraded for use as SLC pages by changing the assigned-level bits. The level bits adjust truth tables used by translation logic that receives inputs from voltage comparators reading a bit line. The range of voltages for each logic level may be adjusted by the truth tables or by programmable registers. The programming voltage or programming pulses may be adjusted to increase endurance and the number of permitted program-erase cycles while reducing retention times before a refresh is needed of the flash cells. Mixed configurations of flash memory have MLC blocks and MLC as SLC blocks, or other combinations.

A method and system for supporting a compliance agent in compliance monitoring for anomaly detection (CMAD) involves a primary monitoring system comparing some predetermined conditions of acceptance with the actual data or event. If any variance is detected (an anomaly) by the primary monitoring system, an exception report or alert is produced, identifying the variance. In a simple environment, this identification of the variance fulfils the evidence conditions and determines an instance of non-compliance. However, in a more complex environment, it may only be an indicator of a suspect non-compliant event (SNCE). In the latter case, the compliance agent uses the results of the initial monitoring as well as important information related to the event and requiring judgmental expertise to obtain further evidence of non-compliance. Compliance gents develop propositions or believes, based on their assumption. For each proposition node in the system, the assumption based truth maintenance system maintains a list of minimum sets of assumptions (Boolean cues), which are relevant to the SNCE type. At the macro level, the construct uses the trivalent belief-disbelief-unknown. However, this is refined by applying a measure of importance to individual pieces or empirical evidence.

A database query optimizer processes an expression in a database query, and generates therefrom an operand list and a corresponding truth table that may be represented by a list of binary characters, where the operand list and corresponding truth table represent a disjunct normal form for the expression. Each expression is stored once it is processed into its operand list and corresponding list of binary characters. New queries are processed into component expressions, and each expression is checked to see if the expression was previously processed and stored as a processed expression. If so, the operand list and list of binary characters for the previously-stored expression may be used in processing the current expression. If there is no previously-stored expression that corresponds to the current expression, the previously-stored expressions are checked to see if any correspond to a complement of the current expression. If so, a new expression is easily constructed for the current expression by retrieving the list of binary characters that correspond to the complement expression, and inverting the bits in the list of binary characters. If there is no previously-stored expression that corresponds to the current expression or its complement, an operand list and corresponding list of binary characters are generated for the current expression. Logical operations between predicates in a query may be performed by performing mathematical operations on the lists of binary characters corresponding to each predicate expression. The end result is an operand list and corresponding list of binary characters that represents the entire expression in a query.

A system and method provides investors with meaningful information extracted from large volumes of available data for a particular stock, mutual fund, bond, or other investment. The system includes one or more computers that receive and process multiple data feeds to extract information relating to each type of investment. The processed data is compared to “alert rules” each corresponding to a predefined condition, and a truth table is established that identifies alerts that are true for each particular investment. An investor logs onto a web site and enters a stock ticker symbol or similar investment identifier. Computer software displays a web page including “alerts” that are presently true for that particular investment. The alerts can be predefined by financial experts to make them useful to novice investors. When an investor selects a particular investment, a display is generated showing all of the alerts that are true for that investment and allowing the user to get more information concerning the significance of the alerts. The alerts can be grouped into different categories according to their content or time sensitivity.

A circuit (10) for multiplying two floating point operands (A and C) while adding or subtracting a third floating point operand (B) removes latency associated with normalization and rounding from a critical speed path for dependent calculations. An intermediate representation of a product and a third operand are selectively shifted to facilitate use of prior unnormalized dependent resultants. Logic circuitry (24, 42) implements a truth table for determining when and how much shifting should be made to intermediate values based upon a resultant of a previous calculation, upon exponents of current operands and an exponent of a previous resultant operand. Normalization and rounding may be subsequently implemented, but at a time when a new cycle operation is not dependent on such operations even if data dependencies exist.

The invention discloses a method for 3D reconstruction and texture generation from single-view face based on multi-task learning, belonging to the computer vision field. The method comprises the following steps of: selecting a special viewpoint for rendering a three-dimensional human face model; generating depth map and texture map as truth value data from special viewpoint; designing an integrated learning and coding network based on feature sharing of depth information and texture information; designing the branch decoding network to recover the depth map from the shared features, and recovering the depth map, designing the mutual information with shared features as latent variables to maximize the generation of antagonistic network, and restoring the texture unwrapping map, adjusting the proportion of each task loss function and training the model; interpolating the depth map and using texture map to reconstruct the 3D face mesh model with texture details. The invention utilizes multi-task learning to carry out single-view face three-dimensional reconstruction, texture generation and style migration, and has the advantages of high speed, low cost and the like.

The invention discloses a semantic annotation method for a hyperspectral remote sensing image. The semantic annotation method comprises the following steps of: I, acquiring training data and test data of the hyperspectral remote sensing image through spectral information and an annotated truth value of the hyperspectral remote sensing image; II, constructing a convolutional neural network according to the number of bands of the hyperspectral remote sensing image; III, training the convolutional neural network through the training data to obtain a convolutional neural network model; IV, classifying the test data through the convolutional neural network model to obtain a semantic annotation result; V, constructing a unary potential-energy function of a conditional random field model according to the semantic annotation result; VI, constructing a binary potential-energy function of the conditional random field model in a neighborhood by using an edge constraint model based on an improved mahalanobis distance; VII, carrying out weight adjustment of the unary potential-energy function and the binary potential-energy function on the conditional random field model; VIII, solving the conditional random field model to obtain the semantic annotation result. Through the above steps, the semantic annotation method for the hyperspectral remote sensing image is realized.

A method for identifying anomalies in time series data, the method comprising the steps of computing parity vectors for one or more data points in a predetermined sample of data points in the time series, the parity vector representing redundancy between an estimated true value and an error term for each of the said one or more data points, evaluating the parity vectors to determine a set of the parity vectors in a selected direction; and evaluating a statistical distribution of the set according to a predetermined criterion to determine a data point to be corrected whose parity vectors satisfy the criterion in the distribution.

The invention discloses an error compensating method of a photoelectric encoder. An error compensating process of the method is simpler, so as to realize the aim of improving the compensation precision. Equipment provided by the method comprises the photoelectric encoder, a rotating table and a controller. The error compensating method comprises the following special steps of: obtaining y by subtracting z by x, wherein each angle measurement value of the controller is regarded as a value x to be compensated, and each corner value of the rotating table is regarded as a conventional true value z; according to the x and the z, establishing a knowledge base model of the photoelectric encoder by using a least square method, and outputting z'; according to the x and the y, establishing a neural fuzzy model by using a structure of an improved self-adaption neural fuzzy reasoning system, and outputting ynet(k); adding outputs of the established knowledge base model and neural fuzzy model, so as to obtain z'+ynet(k); and respectively inputting each measurement value of the photoelectric encoder to the established knowledge base model and neural fuzzy model so as to compensate, and outputting the compensated values by the controller.

A functional verification system suited for verifying the function of non-cycle based integrated circuits (IC) design. The IC design is divided into a plurality of combinatorial blocks connecting sequential elements. Truth tables corresponding the divided blocks are computed and stored in a memory. The output values of the IC design are determined by evaluating the blocks. The evaluation typically entails one memory access as the truth tables are pre-computed and stored in a memory storage. Accordingly the output values are computed quickly. The storage is implemented using random access memories and a XCON is designed to ensure the dependencies are preserved during the evaluations.

In a system for statically analyzing a specified computer, a verification condition generator converts the program into a logical equation, called a verification condition, and inserts program flow control labels into the sub-equations of the verification condition. The flow control labels identify conditional branch points in the specified computer program. A theorem prover is applied to the logical equation to determine truth of the logical equation, and when the truth of the logical equation cannot be proved, the theorem prover generates at least one counter-example identifying one of the conditions, one or more variable values inconsistent with that condition, and any of the flow control labels for conditional branch points of the program associated with the identified variable values. A post processing module converts each counter-example into an error message that includes a program trace when the counter-example identifies one or more of the flow control labels.

The invention discloses a text detection method, system and device based on multi-receptive field depth characteristics and a medium, and the method comprises the steps: obtaining a text detection database, and taking the text detection database as a network training database; building a multi-receptive field depth network model; inputting a natural scene text picture and corresponding textbox coordinate true value data in the network training database into a multi-receptive field depth network model for training; calculating an image mask for segmentation through the trained multi-receptive field depth network model to obtain a segmentation result, and converting the segmentation region into a regression textbox coordinate; and counting the textbox size of the network training database, designing a textbox filtering condition, and screening out a target textbox according to the textbox filtering condition. The method fully utilizes the feature learning capability and classification performance of the deep network model, combines the characteristics of image segmentation, has the characteristics of high detection accuracy, high recall rate, strong robustness and the like, and has agood text detection effect in a natural scene.

The invention discloses a face image quality evaluation model construction method, a face image screening method, a face identification method, equipment and a medium. The construction method comprises the following steps that: obtaining a training set, wherein the training set comprises a plurality of face sample images and scoring true values corresponding to the face sample images one by one; according to the face sample images and the scoring true values, training a randomly initialized neural network model; carrying out an accuracy test on the trained neural network model; judging whetherthe result of the accuracy test meets an accurate condition or not; and if the result of the accuracy test meets the accurate condition, storing the trained neural network model as a face image quality evaluation model, wherein the scoring true value is obtained according to the face sample images and the standard image, and the face sample images and the standard image are related. By use of themethod, the constructed face image quality evaluation model can more favorably define face image quality, the subjectivity and the deviation of the manual definition and analysis of face image quality can be avoided, and the method is favorable for screening images in a face identification task.

The invention discloses a data processing and fusion method for large-scale traffic information and belongs to real-time traffic information processing technologies. The method includes: obtaining normal data of a truth value according to multisource traffic data acquired by a test vehicle and each sensor, and determining a dynamic assignment method for parameters; rejecting abnormal data in data sets acquired by the sensors, and performing historical data compensation; and fusing real-time grading information of the multisource traffic data with data compensation completed. The truth value system is set up for obtaining correct initial assignment parameters of various acquisition modes and rejecting acquired abnormal data, missing data are reasonably filled according to the historical data to guarantee accuracy and integrity of the data, and the data acquired by different acquisition modes are graded and fused gradually to guarantee reliability of the data. Moreover, quickness in the fusion process is achieved, and influences of traffic incidents, traffic control, land occupation construction and traffic accidents on data in the fusion process are considered.

Methods, apparatuses, and computer program products for selected alert delivery in a distributed processing system are provided. Embodiments include receiving a plurality of events from one or more event producing components of the distributed processing system; creating, by an incident analyzer, in dependence upon the events a truth space representing events that make one or more conditional event processing rules true, the truth space including a set of truth points, each truth point including a set of events and a set of event locations; creating, by the incident analyzer, in dependence upon the truth space one or more alerts including assigning one of the locations of the truth space to one or more of the alerts; and sending, by the incident analyzer, the alerts to at least one component of the distributed processing system.

A state-transition system includes a plurality of states and a first transition representing a state-change based on an external event occurred into a system to be checked. A plurality of requirement items includes a precondition and a postcondition in correspondence with the external event. By partially selecting the precondition and the postcondition from the plurality of requirement items, a state map to map a state onto truth values of the precondition and the postcondition is generated. By contracting the state-transition system with the state map, a quotient state-transition system is generated. The quotient state-transition system includes a plurality of second transitions among a plurality of groups each having states. By tracing each second transition in the quotient state-transition system, a representative transition path is generated. The representative transition path is regenerated as a transition path in the state-transition system. The transition path is output as a test case.

The invention discloses an outfield precision testing method for a high-precision star sensor. Accuracy in calculation of a star pattern posture of the star sensor and frequency domain stripping of short-period error terms of the posture are realized by utilizing a procession correction formula, an earth rotation model, an atmosphere correction model and a power spectral density formula, and the posture measuring error of the star sensor can be rapidly and effectively analyzed and evaluated. According to the method, the hardware resource is not occupied, the method is realized by utilizing software and does not need the ground intervention. According to the method, by combining the posture identification principle of the star sensor and adopting a data smoothing method, the posture truth value of each frame star pattern moment is calculated, so that a foundation is established for the subsequent analysis on the posture measuring error; by adopting the method for combining the time domain and the frequency domain, the short-period error term is decomposed into an airspace low-frequency error, a high-frequency error and a time-domain error by virtue of the power spectral density analysis, so that reasonable data support is provided for further evaluation of the precision indexes of the star sensor, and the index performance of the star sensor can be improved.

A system and method for product configuration represents a product using a configuration model having numerical clauses. Features of the product are associated with literals in the numerical clauses. The numerical clauses may specify a number of literals to determine whether the numerical clause is satisfied, satisfiable, or unsatisfiable. Numerical clauses represent constraints that govern the configuration of the product. Resolving numerical clauses and user choices involves one or more inference procedures. In one embodiment, unit clauses represent user choices, and a configuration engine asserts the unit clause and performs numerical unit resolution between the unit clause and all numerical clauses containing the complement (generally a negation) of the unit clause. Complementary literals are eliminated from the current state of the configuration model. In one embodiment, if the uneliminated literals in a numerical clause causes the clause to be satisfied, the uneliminated literals are recursively asserted. The configuration engine then performs numerical unit resolution between the recursively asserted, uneliminated literals and numerical clauses containing the complements of the uneliminated literals. Numerical clauses may also function as literals. Numerical clauses may include negations of consumer literals and positive provider literals. If a user chooses a consumer feature, by knowing the consumer and provider weights, the configuration engine can determine which provider literals should be included, excluded, or remain selectable. Embodiments of the invention can implement a logic-based truth maintenance system and numerical unit resolution.

A functional verification system suited for verifying the function of cycle based integrated circuits (IC) design. The IC design is divided into a plurality of combinatorial blocks connecting sequential elements. Truth tables corresponding the divided blocks are computed and stored in a memory. The output values of the IC design are determined by evaluating the blocks. The evaluation typically entails one memory access as the truth tables are pre-computed and stored in a memory storage. Accordingly the output values are computed quickly. The storage is implemented using random access memories and a XCON is designed to ensure the dependencies are preserved during the evaluations.

The present invention extends to methods, systems, and computer program products for evaluating multiple data filtering expressions in parallel. A filtering module accesses an XML document containing a plurality of XML elements. The filtering module serializing the XML document into serialized XML. The filtering module accesses a plurality of filtering expressions, each filtering expression corresponding to a component that is potentially interested in receiving the XML document. The filtering module aggregates the plurality of filtering expression into a single equivalent filtering expression. The filtering module evaluates the equivalent filtering expression over the serialized XML in a single pass. The filtering module returns a logical TRUE value for any of the plurality of filtering expressions that are satisfied. The filtering module delivers the XML document to the corresponding component for each of the plurality of filtering expressions that was returned a logical TRUE value.

The invention relates to a pathological image color quality comprehensive evaluation method based on color separation. The method includes step 1, performing color separation on pathological images; step 2, utilizing four indicators including red-blue contrast ratio, color deviation degree, color information entropy and gap area fragmentation degree; step 3, utilizing a sample set to train to acquire a neural network model, using the model to comprehensively evaluate a testing set, comparing an evaluation value with a truth value, and calculating accuracy. By the method, a gap in pathological image color quality evaluation is filled; a good evaluation result is acquired by utilizing color separation and a neutral network, and the method has wide application prospect in the field of pathological image quality evaluation.

The embodiment of the invention provides a method and device for automatically identifying abnormal seismic traces. The method includes the steps that true values of seismic trace sampling points are obtained from collected single-explosion seismic records, and a maximum value threshold parameter value is set according to the true values of the seismic trace sampling points; absolute values of the true values of the seismic trace sampling points are obtained and compared with the maximum value threshold parameter value; when the absolute values of the true values of the seismic trace sampling points are larger than the maximum value threshold parameter value, the seismic traces where the sampling points are located are the maximum-value-type abnormal seismic traces. By means of the technical scheme, the accuracy for identifying the abnormal seismic traces can be greatly improved.

A method of automatic formulation by a computer of test cases for verifying at least one function of a piece of software in relation to a specification including requirements relating input values and output values of the software, the method including the steps of:distinguishing combinatorial requirements and sequential requirements;modeling combinatorial requirements by a truth table and sequential requirements by a finite state machine to obtain a modeled specification;establishing an operation matrix relating the input values of the software with a probability of them being in succession and a transition time between them;selecting the successions of input values to be tested by performing a Monte Carlo draw on the operation matrix;determining a test case including test rows relating each selected succession with the output values expected given the modeled specification;stopping the determination process when the test case being determined makes it possible to reach a predetermined threshold for at least one of the following criteria: verified percentage of function code, verified percentage of requirements, verification time, and verification cost.

The invention relates to a method for transferring a near infrared model of an organic fertilizer product. The method is characterized by comprising the following steps of: (1) selecting and setting main instruments and slave instruments and matching spectroscopic data between the two kinds of instruments; (2) matching spectrum arrays of the front main instrument and the rear main instrument and a sample chemical truth-value concentration array by using the spectroscopic data, establishing a leave-one-out full-interactive verification near infrared model based on a partial least squares method and comparing the predication result difference; (3) selecting a plurality of respective samples in correction set samples to form a standard sample set; (4) respectively calculating predication value concentration arrays of the standard sample sets of the main instruments and the slave instruments by using the near infrared correction module established by using the main instruments and carrying out least square fitting; (5) calculating a slave instrument verification set sample concentration array by using main instrument near infrared correction models and carrying out the correction by using a least square fitting relationship formula to obtain a slave instrument verification set sample concentration array after the model is transferred; and (6) estimating and analyzing a predication effect after the main instrument near infrared correction models are transferred.

The present invention discloses a DNA molecular chain displacement reaction based method for extracting CRNs for realizing combinational logic. The method comprises the following steps of: step 1, according to a set logic function, obtaining a truth table that reflects input and output logic relationships, and obtaining, through mapping, a proforma chemical reaction network from the truth table; and step 2, simplifying the proforma chemical reaction network obtained in the step 1 by using a Karnaugh map simplification approach, to obtain a proforma chemical reaction network for realizing a combinational logic function. The method provided in the present invention is mainly used for obtaining the chemical reaction network that represents logical relationships in a DNA molecular chain displacement reaction; the CRNs is obtained by mainly using the truth table in electronics and the Karnaugh map simplification approach; CRNs that indicate logical relationships can be obtained without considering the specific circuit architecture; the CRNs are simplified; and energy consumption is effectively reduced. Meanwhile, the method provided in the present invention is more general, straightforward and more convenient in operation.

The invention discloses a high-accuracy calibration method of a joint coordinate measuring machine, which comprises the following steps that the measuring machine acquires a plurality of pairs of taper holes in each calibration plate with different poses for many times; each pose corresponds to a group of joint angles and a measuring head coordinate; a plurality of groups of joint angle vectors and measuring head coordinates are obtained; a plurality of groups of two-point distance values between the taper holes in the calibration plates are calculated; a standard deviation formula of x, y and z coordinates of each measuring point is obtained; standard deviations of the measuring points are summed; the two-point distance value Li of each calibration plate at the measuring point i subtracts a point distance truth value Lr; standard deviations are obtained and summed; delta xyz and delta L are summed to serve as an objective function of a nonlinear quadratic programming problem; and a structure parameter error value of the joint coordinate measuring machine is obtained by a sequential quadratic programming algorithm.

An aerodynamic state estimation system includes a real-time actual measurement device, an air data computer, and a plurality of sensors. The measurement device receives laser scatter energy indicative of one or more atmospheric data parameters and outputs one or more truth measurements. The air data computer module receives the one or more truth measurements, calculates one or more state parameter estimations based on a plurality of functional parameters, and outputs at least one of the one or more truth measurements and the one or more state parameter estimations as one or more high accuracy state parameters, The plurality of sensors, located at the air data computer module, measure the plurality of functional parameters.