40 results about "Reliability criterion" patented technology

A system is provided that is configured to be transported, carried or worn by a user, such as a portable personal training device or sports watch. The system comprises a global navigation satellite system (GNSS) receiver arranged to obtain the location and/or speed of the user and a pedometer for counting steps made by the user. Data from the GNSS receiver is used to calibrate the pedometer each time the user is determined to travel a distance greater than a predefined distance value during a period of time in which signals obtained by the GNSS receiver meet the one or more accuracy and/or reliability criteria.

Disclosed are improved methods, systems, and computer program products for predicting performance, manufacturability, and reliability (PMR) using concurrent model analyses for electronic designs. Various embodiments of the present invention disclose a method for predicting PMR with concurrent process model analysis in which a method with concurrent model(s) generate a design for the one or more layers in the electronic circuit. The method then analyzes the impact of the processes or techniques for feature geometric characteristic predictions or PMR evaluations, based upon the concurrent models. Results may be reported to the users, or the method may modify the designs to accommodate the variations and determines one or more parameters based upon the concurrent models. One embodiment determines the impact of concurrent model on one or more of performance, manufacturability, and reliability criteria.

An apparatus for gathering information about surroundings of a vehicle includes: a vehicle sensor data gathering block configured to gather first information about surroundings of the vehicle from one or more sensors mounted on the vehicle; a roadside equipment data gathering block configured to gather second information about surroundings of the vehicle from a roadside communication device installed on a driving infrastructure; and a data integration block configured to classify the first information about surroundings and the second information about surroundings for predefined data types and integrate and manage the classified information about surroundings based on a preset reliability criterion.

The invention discloses a cloud-theory-based power transformer insulation state evaluation method and belongs to the technical field of power transformer fault diagnosis. According to the method, an insulation state index system of a transformer is established, and a cloud-model-based insulation state evaluation method is provided for judging the fault type of the transformer according to the definition of the relative deterioration degree on the basis of grade division of the insulation state and the dynamic adjustment of index weights. By constructing a membership cloud model, the subjectivity and randomness of artificial determination of a membership function are reduced, and a reliability criterion is introduced to determine the insulation state of the transformer, so that a corresponding state maintenance strategy is obtained.

The present invention relates a method and a decoder for decoding codewords, the decoding being performed as message passing on a graph representation of the code, e.g. on low density parity-check (LDPC) code, wherein for each non-zero entry in a parity check matrix, the message matrix elements of a first message matrix are initialized with data obtained from a demodulator, and the elements of a second message matrix are determined based on message matrix elements of said first message matrix. Further, a decoded codeword is reconstructed based on the data obtained from the demodulator and the matrix elements of the second matrix. Moreover the present invention relates to and to a communication system, a mobile terminal and a base station comprising the decoder. To reduce the influence of wrong information the decoding method uses subset of matrix elements from said first/second matrix for determining a matrix element of said second/first matrix, wherein the matrix elements of said subset fulfill a reliability criterion.

An apparatus comprises a depth map source (109) providing a depth map for an image and a confidence map source (111) providing a confidence map with confidence values for pixels of the depth map. The confidence values designate the pixels as confident or non-confident pixels reflecting whether the depth value meets a reliability criterion or not. A depth modifier (113) performs a depth modification operation which modifies depth values for pixels of the depth map. A modified depth value for a first pixel is determined as a current depth value for the first pixel if this is designated as a confident pixel or if there are no confident pixels within a neighborhood set of pixels, and otherwise the modified value is determined as the maximum of the current depth value and a depth value determined as a function of depth values of pixels within the neighborhood set being designated as confident pixels.

The invention discloses a method for obtaining multiple-wind farm capacity credit based on a Copula function. The method comprises converting a wind speed time sequence into a wind farm power output time sequence by considering the wake effects of wind farms, performing state merging on the sequence according to numerical values and then performing nonlinear fitting to obtain the edge distribution of the power outputs of the individual wind farms, descripting the correlativity of the power outputs of the individual wind farms by selecting a Clayton Copula function for describing lower fat tail characteristics, performing parameter estimation on the selected Copula function by use of a two-stage maximum likelihood method according to the historical power output data of the wind farms to obtain the related parameters of multiple-wind farm power output joint probability distribution, making the multiple-wind farm power output joint probability distribution of the Clayton Copula function equivalent to a multi-state units which are integrated with a power generation system, and obtaining the wind farm capacity credit by use of chord length iteration based on an equal reliability criterion. The method for obtaining the multiple-wind farm capacity credit based on the Copula function is capable of assessing the significance of wind power generation in the aspects such as system reliability, economic efficiency and environmental pollution reduction quickly and accurately in a better way.

A method and apparatus for processing demodulated data comprising received symbol data is disclosed. A decoder is used to compute estimated symbols and corresponding reliability metrics. The reliability metrics are transformed into reliability weights. Optionally, residuals relating to the difference between the received symbol data and the estimated symbols are computed. Output data are generated comprising any combination of the following: estimated symbols, reliability weights, residuals, and received symbol data. The residuals may be weighted by the reliability metrics and used by demodulation or error compensation loops to instantaneously reduce or increase the bandwidth of these loops.

Low complexity architecture for syndrome-based check node, SB- CN, processing in Extended Min-Sum, EMS, decoders for Non-Binary LDPC, NB-LDPC, codes using the principle of pre-sorting the variable messages based on a reliability criteria. Embodiments of the invention provide a check node processing unit (25) configured to determine at least one check node message to decode a signal encoded using aNB-LDPC code, the check node processing unit comprising: a data link to one or more message presorting units (24) configured to determine permuted variable node messages by applying one or more permutations to at least three variable node messages generated by one or more variable node processing units (23); a syndrome calculation unit (26) configured to determine a set of syndromes from the at least three permuted variable node messages, a syndrome comprising binary values; a decorrelation and permutation unit (27) configured, for each check node message of a given index, to: determine a permuted index by applying to said given index the inverse of the one or more permutations; select at least one valid syndrome in the set of syndromes, a valid syndrome comprising a binary value associated with said permuted index equal to a given value; determine, at least one candidate check node component from said at least one valid syndrome; a selection unit (28) configured to determine at least one check node message from said at least one candidate check node component.

A wireless device detects a synchronization signal by obtaining (210), from a received signal, a sequence of samples, and calculating (220) a differentially decoded sequence from the obtained sequenceof samples. The wireless device correlates (230) the calculated differentially decoded sequence with a first reference sequence corresponding to the synchronization signal, at each of a plurality oftime offsets, and identifies which of the plurality of time offsets results in a largest correlation result. In response to determining (240) that the largest correlation result does not meet a predetermined reliability criterion, the wireless device correlates (250) the obtained sequence of samples with a second reference sequence, at each of a plurality of time and frequency offsets, and identifies which combination of time offset and frequency offset results in a largest correlation result. The first reference sequence comprises a differentially decoded version of the second reference sequence.

The present invention relates to a device (102b,104b) for generating a polar code N of length N and dimension K on the basis of a transformation matrix G N of size N*N, wherein the transformation matrix G N is based on a first matrix G N r of size N r x N r , and on a second matrix G Nd of size N d x N d , wherein N=Nr.Nd, and wherein the polar code xN is given by xN=uN.GN, wherein uN=(u0,...,uN-1)is a vector of size N, ui ,i=0,... N 1, corresponding to an information bit if i belongs to I, I being a set of K information bit indices, and ui=0, if i belongs to F, F being a set of N K frozen bit indices. The device (102b,104b) comprises a processor (102c,104c) configured to generate a reliability vector v GNr=[v1,... v Nr ], wherein v i represents a reliability of an i-th input bit of a code generated by the first matrix GNr, generate a distance spectrum vector d GNd=[d1,..., dNd ] of a code generated by the second matrix G Nd , wherein d j represents a minimum distance of the code generated by the second matrix GNd of dimension j, determine the set of K information bit indices I on the basis of the reliability vector v GNr and of the distance spectrum vector dGN, and generate thepolar code c N on the basis of the set of K information bit indices I.

A cellular communications system uses FCS (fast cell switching) for forward communications links, for communicating data from respective cells or sectors to a mobile terminal, in response to FCS requests by the terminal on a reverse communications link. An FCS rate, or rate of said requests, is varied in dependence upon a C/I reliability criterion, which represents a reliability with which C/I is determined and predicted by the mobile terminal, for example being either of two selected rates depending upon a comparison of the criterion with a threshold. The criterion can be, for example, a determined speed of the mobile terminal, or an averaged probability that a C/I prediction error is less than a predetermined amount.

A reliability modeling analysis method for a complex constellation system comprises the following steps: (1) determining a reliability criterion of the constellation system according to task requirements of the constellation system; (2) selecting one constellation configuration from a plurality of constellation configurations; (3) for the selected constellation configuration, determining a backupsatellite configuration scheme of the constellation system, and establishing a reliability model of the constellation system according to the constellation system task simulation model and the reliability criterion; (4) repeating the step (3) to sequentially establish a constellation system reliability model of each constellation configuration; and (5) utilizing the constellation system reliability model of each constellation configuration to obtain a change curve of the constellation reliability along with the reliability of a single satellite, and determining the constellation configurationwith the optimal system reliability according to the change curve. Aiming at the condition that a reliability model of the complex constellation system cannot be established by using a traditional reliability block diagram method, the reliability modeling problem of the complex constellation system is solved.