Abstract: A system for monitoring a machine includes a memory device operatively coupled with a processor. The memory device stores a plurality of operational measurements of the machine and is programmed with computer instructions that instruct the processor to record a first plurality of operational measurements of the machine, perform a full spectrum analysis thereof, and generate a first full spectrum data set therefrom. The instructions also instruct the processor to transmit the first full spectrum data set to a model stored within the memory device. The instructions further instruct the processor to determine variations between the first full spectrum data set and a second full spectrum data set. The second full spectrum data set is different from the first full spectrum data set.

Abstract: The present invention discloses a calibration system for electronic devices comprising an electronic calibration device and an electronic device and having a space configured to connect to the electronic calibration device. The electronic calibration device has a calibration parameter storage module configured to pre-store a first standard parameter of a plurality of calibration items of the electronic device.

Abstract: System and method for testing a high speed data path without generating a high speed bit clock, includes selecting a first high speed data path from a plurality of data paths for testing. Coherent clock data patterns are driven on one or more of remaining data paths of the plurality of data paths, wherein the coherent clock data patterns are in coherence with a low speed base clock. The first high speed data path is sampled by the coherent clock data patterns to generate a sampled first high speed data path, which is then tested at a speed of the low speed base clock.

Abstract: A method and system include a system with uncertain parameters having a deterministic input, a noise calculator coupled to an output of the uncertain system to generate an equivalent noise covariance matrix, and a stochastic system with known parameters coupled to receive the deterministic input and the equivalent noise covariance matrix to provide an output. The process noise with equivalent process noise covariance matrix provides additional input to the system with known parameters to provide the same output uncertainty as in the system with uncertain parameters.

Abstract: Provided is a signal processing apparatus configured to calculate an angle of a detection point corresponding to an object on the basis of received signals of a plurality of array antennas. A beat signal is generated by a difference between a transmitted signal and a received signal. Digital data is derived through AD conversion of the beat signal. The digital data is divided into a plurality of data groups. A fast Fourier transform is performed on the data groups to acquire a plurality of transformed data corresponding to the number of the data groups. The transformed data are divided into a plurality of sets, correlation matrices for the respective sets are acquired, and an average value of the correlation matrices is calculated. The angle of the detection point is calculated on the basis of the average value of the correlation matrices.

Abstract: A method and apparatus for determining placement of one or more devices using a building layout is disclosed. The method may include generating a map layer based on the building layout. A zone definition that includes identification of available zones and access characteristics of each of the available zones is received. A density definition that includes identification of available density levels and usage characteristics of each of the density levels is received. The placement of the one or more devices in the available zones is enabled based on associating the zone definition and the density definition with the map layer.

Abstract: An improved Modal Assurance Criterion for comparing two mode shapes obtained from modal analysis of a multi-component structure is disclosed. In one embodiment, a first mode shape vector and second mode shape vector for a first mode shape and second mode shape of the multi-component structure, respectively, are formed by grouping modal displacement at each node associated with each component in the multi-component structure. Further, modal assurance criterion (MAC) between the first mode shape vector and second mode shape vector is computed by dividing a square of sum of magnitudes of correlation of the modal displacement at each component for the first mode shape vector and second mode shape vector in the multi-component structure with a product of squared magnitudes of the first mode shape vector and second mode shape vector. Furthermore, the first mode shape and second mode shape of the multi-component structure are compared using the MAC.

Abstract: A method of optimising a construction of a basis of a wind turbine is provided. A local load environment situation of a construction location is analysed, which results in local load-relevant environment data, based on which construction instructions are generated. These are further based on a set of predefined rules for processing the local load-relevant environment data, such that in a first selected region of the basis along a circumference of the tower and/or in a first selected region of the foundation the carrying structure of the basis is weakened in at least one selected horizontal cross-section with respect to possible maximum loads in comparison with a second region of the basis in the selected cross-section.

Abstract: Coordinate measurement data such as point cloud data associated with coordinate measurement machine data is reduced in a strategic and systematic manner by segmenting and/or reducing data based on nominal geometric information contained in an electronic file such as a CAD model or a coordinate measurement machine inspection plan. For example, in one embodiment, a software application is used to identify geometric features and tolerances within a CAD model of an object, and to segment coordinate measurement data of a physical object based on the identified geometric features and tolerances from the CAD model. The various segments of coordinate measurement data may be assigned different data requirements, and the data may be reduced in different manners on a feature-by-feature basis.

Abstract: A method for modeling a transistor includes providing a transistor model having at least a source node, a drain node, and a gate node, simulating operation of a device using the transistor model in a computing apparatus, and generating an offset voltage at the gate node depending on a magnitude of a current passing through the device.

Abstract: A method for determining the position of a mobile body at a given instant and for monitoring the integrity of the position of said mobile body includes a step of determining a sustained position at the given instant by adding the integral of the hybrid speed between the preceding instant and the given instant to the position of the mobile body at the preceding instant; a step of determining the sustained protection radius associated with the sustained position by adding the integral of the hybrid speed protection radius between the preceding instant and the given instant to the position protection radius of the preceding instant; a step of determining a better position at the given instant, the better position being: when information from the first positioning device is available, the position associated with a better protection radius, the better protection radius being selected by comparing the intermediate protection radius with the sustained protection radius according to a predetermined selection criteri

Abstract: To provide an intake parameter-calculating device and intake parameter-calculating method for an internal combustion engine, which are capable of accurately calculating intake parameters in a case where an intake throttle valve is provided. The intake parameter-calculating device 1 includes an ECU 2. The ECU 2 calculates an error KTHERRCOR using an error model equation (8) (step 2), and calculates a correction coefficient KTHCOR as the reciprocal of the sum of the error KTHERRCOR and 1 (step 3). The ECU 2 calculates a passing air amount GAIRTH by correcting a basic passing air amount GAIRTHN calculated by an equation (11) using a correction coefficient KTHCOR (step 6). A model parameter A for the error model equation (8) is calculated using equations (14) to (18) by onboard identifying calculation with uniform weighting (steps 48 to 53).

Abstract: Reservoir properties or attributes such as water saturation, porosity and permeability are determined directly at each cell of a three dimensional grid of a subsurface hydrocarbon reservoir. Input parameters based on original data from petrophysical measurements and other attributes of the reservoir and its subsurface features are generated over a range of uncertainties for the individual cells. The predicted input parameters for the individual cells are provided as processing inputs for petrophysical algorithms. The input parameters at different measures of possible uncertainties for the cells of the reservoir are processed using cluster computers to determine on a cell-by-cell basis a number of possible scenarios or results for the reservoir attributes of interest.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for predicting impact on a pipeline delivery infrastructure. According to an example embodiment of the invention, a method is provided that can include simulating a pipeline delivery infrastructure; identifying one or more sections in the infrastructure; and forecasting an impact of the infrastructure based on one or more modifications to the infrastructure or on one or more new demand points wherein the forecasting comprises estimating pressures in each of identified one or more sections.

Abstract: Embodiments of the invention include systems and methods for accelerating or improving the success rate of a behavior change in an organization, group or community. In an embodiment, the invention includes a method for accelerating or improving the success rate of a behavior change, the method including gathering primary and secondary relationship data of an informal network of individuals and behavior change constructs for a plurality of individuals within the informal network of individuals; performing social network analysis of the informal network; and performing statistical perception analysis of the individuals within the informal network. In an embodiment, the invention includes a system for accelerating or improving the success rate of a behavior change initiative in an organization, group or community. Other embodiments are also included herein.

Abstract: A scenario is simulated by providing an agent that is an object in the scenario, providing a time window for the scenario that spans the farthest reachable past time and the farthest reachable future time with respect to a present time for the agent and/or at least one player that interacts with the simulated scenario, providing at least one event that represents a change in at least one attribute of the agent, and updating a state of the scenario by applying the at least one event to the agent within the time window.

Abstract: When a material shape model is separated in shear through processing, a shape model of a material in a state of being suspended remains in mid-air, and thus, interference is detected excessively. In order to prevent the excessive detection of interference, in a processing simulation method for generating a shape model of a processed material from a shape model of a material and a shape model of a tool processing area which is defined from a shape model of the tool and a movement path of the tool, the shape model of the material being separated into a plurality of shapes by processing is detected; a material shape to be cut-off is extracted from the separated material shapes; and the extracted material shape to be cut-off is excluded from subject of simulation.

Abstract: In an exemplary embodiment, a method is disclosed for developing an N-phasic finite element model for performing fully coupled analyses of multi-phase compositional fluid flow and heat flow in nonlinearly deforming porous solid media with time-dependent failure. The method can include formulating a finite element model of the behavior of a coupled solid-fluid formation, having complex geometry and behavior, and applying the model to derive the response of the formation in the form of one or more displacement fields for the solid phases and one or more pressure fields for the fluid phases in a zone of interest in a formation. In an exemplary embodiment, a system is disclosed for estimating the uncertainties in the derived displacement and pressure field solutions for the response of the fully coupled solid-fluid phases.

Abstract: An approximated objective function value calculator calculates individual estimated values for an evaluation parameter corresponding to individual values of a controlled parameter where the value of a non-controlled parameter is held constant at the current value in an approximated objective function estimated by an approximated objective function estimator. A proximity distance calculator calculates, as a proximity distance s for each individual value for the controlled parameter, a distance from each individual value for the controlled parameter, in a case where the value of the non-controlled parameter is held constant, to the analysis data having the nearest distance when projected onto an input variable space defined by the controlled parameter and the non-controlled parameter. An additional measurement point determining indicator calculator calculates an additional measurement point determining indicator P corresponding to each individual value of the controlled parameter as P=estimated value??×s.

Abstract: Embodiments for determining an optimal configuration for a renewable energy power plant are provided. The power plant, which may be a virtual power plant, includes one or more generator devices and one or more energy storage devices that may be operated to undertake one or more operating applications. Data indicative of the power output of the power plant and the voltage level at the energy storage system connection point is received as an input. Using this data, combinations of energy storage devices and operating applications stored on a database are processed and, for each energy storage and operating application pair, a value indicative of the profitability of undertaking the operating application is determined. These values are used to rank the combinations of energy storage devices and operating applications according to their profitability, which in turn is used to select the most efficient or profitable application/energy storage pair.

Abstract: Computer resource utilization modeling for multiple workloads includes a computer obtaining resource utilization data, the resource utilization data having groups of computer resource utilization measurements made during time intervals for a plurality of workloads. The computer determines parameters representing a distribution of the computer resource utilization measurements for each of the groups to generate a baseline of distributions across the time intervals for each of the plurality of workloads. The computer sums the baselines of distributions for the plurality of workloads to generate a combined baseline of distributions across the time intervals for a combination of the plurality of workloads.

Abstract: Example embodiments disclosed herein relate to emulating an input/output component of a device. The device includes an external connection to connect the device to another device. The device also includes multiple input/output components. One of the input/output components is selected. The selected input/output is emulated for the other device.

Abstract: A method and a system for making merging decisions for a translation are disclosed which are suited to use where the target language is a productive compounding one. The method includes outputting decisions on merging of pairs of words in a translated text string with a merging system. The merging system can include a set of stored heuristics and/or a merging model. In the case of heuristics, these can include a heuristic by which two consecutive words in the string are considered for merging if the first word of the two consecutive words is recognized as a compound modifier and their observed frequency f1 as a closed compound word is larger than an observed frequency f2 of the two consecutive words as a bigram. In the case of a merging model, it can be one that is trained on features associated with pairs of consecutive tokens of text strings in a training set and predetermined merging decisions for the pairs.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for bootstrapping a language translation system. A system configured to practice the method performs a bidirectional web crawl to identify a bilingual website. The system analyzes data on the bilingual website to make a classification decision about whether the root of the bilingual website is an entry point for the bilingual website. The bilingual site can contain pairs of parallel pages. Each pair can include a first website in a first language and a second website in a second language, and a first portion of the first web page corresponds to a second portion of the second web page. Then the system analyzes the first and second web pages to identify corresponding information pairs in the first and second languages, and extracts the corresponding information pairs from the first and second web pages for use in a language translation model.

Abstract: A universal language translator automatically translates a spoken word or phrase between two speakers. The translator can lock onto a speaker and filter out ambient noise so as to be used in noisy environments, and to ensure accuracy of the translation when multiple speakers are present. The translator can also synthesize a speaker's voice into the dialect of the other speaker such that each speaker sounds like they're speaking the language of the other. A dialect detector could automatically select target dialects either by auto-sensing the dialect by listening to aspects of each speaker's phrases, or based upon the location of the device.

Abstract: Disclosed is a translation apparatus and method using multiple translation engines. The translation apparatus using the multiple translation engines may include a structure analysis unit to analyze a structure of an original sentence, a sentence receiver to receive, from translation engines, translations of the original sentence, and a sentence determining unit to determine one of the received translations to be a translation result based on performance information for the translation engines corresponding to the structure of the original sentence.

Abstract: [Problem] To improve a speed of character recognition while achieving high grade precision of a character recognition process and a translation process. [Solution Method] A syntax analysis information generation apparatus includes an information generation unit 1. the information generation unit 1 extracts grammatical information corresponding to a work candidate for an analysis target from first syntax analysis information (for example, syntax analysis information for translation) that represents grammatical constraint conditions, and generates second syntax analysis information (for example, syntax analysis information for character recognition) that represents the grammatical constraint conditions corresponding to the word candidate based on the extracted grammatical information.

Abstract: A method, an apparatus and an article of manufacture for customizing a natural language processing engine. The method includes enabling selection of one or more parameters of a desired natural language processing task, the one or more parameters intended for use by a trained and an untrained user, mapping the one or more selected parameters to a collection of one or more intervals of an input parameter to an optimization algorithm, and applying the optimization algorithm with the collection of one or more intervals of an input parameter to a model used by a natural language processing engine to produce a customized model.

Abstract: Potential linguistic errors within a sequence of words of a sentence are identified based on analysis of a configurable sliding window. The analysis is performed based on an assumption that if a sequence of words occurs frequently enough within a large, well-formed corpus, its joint probability for occurring in a sentence is very likely to be greater than the same words randomly ordered.

Abstract: According to one embodiment, a speaker clustering apparatus includes a clustering unit, an extraction unit, and an error detection unit. The clustering unit is configured to extract acoustic features for speakers from an acoustic signal, and to cluster utterances included in the acoustic signal into the speakers by using the acoustic features. The extraction unit is configured to acquire character strings representing contents of the utterances, and to extract linguistic features of the speakers by using the character strings. The error detection unit is configured to decide that, when one of the character strings does not fit with a linguistic feature of a speaker into which an utterance of the one is clustered, the utterance is erroneously clustered by the clustering unit.

Abstract: An encoding method of an encoder is provided. The encoder generates first MDCT coefficients by transforming an input signal, and generates MDCT indices by quantizing the first MDCT coefficients. The encoder generates second MDCT coefficients by dequantizing the MDCT indices, and calculates MDCT residual coefficients using differences between the first MDCT coefficients and the second MDCT coefficients. The encoder generates a residual index by encoding the MDCT residual coefficients, and generates gain indices corresponding to gains from the first MDCT coefficients and the second MDCT coefficients.

Abstract: An audio encoding apparatus that allows a decoded signal exhibiting an excellent sound quality to be obtained on a decoding side. In the audio encoding apparatus (1000A), a time-frequency transform unit (1001) uses a time-frequency transform, such as a discrete Fourier transform (DFT) or a modified discrete cosine transform (MDCT), to transform a time domain signal (S(n)) to a frequency domain signal (spectrum factor) (S(f)). A psychoacoustic model analyzing unit (1002) performs a psychoacoustic model analysis of the frequency domain signal (S(f)), thereby obtaining a masking curve. An acoustic sense weighting unit (1003) estimates, based on the masking curve, an importance degree of acoustic sense, and determines and applies the weighting factors of respective spectrum factors to the respective spectrum factors. An encoding unit (1004) encodes the frequency domain signal (S(f)) as weighted in terms of the acoustic sense. A multiplexing unit (1005) multiplexes and transmits the encoded parameters.

Abstract: This invention provides a more efficient way to quantize temporal envelope shaping of high band signal by benefiting from energy relationship between low band signal and high band signal; if low band signal is well coded or it is coded with time domain codec such as CELP, temporal envelope shaping information of low band signal can be used to predict temporal envelope shaping of high band signal; the temporal envelope shaping prediction can bring significant saving of bits to precisely quantize temporal envelope shaping of high band signal. This prediction approach can be combined with other specific approach to further increase the efficiency and save mores bits.

Abstract: An encoder and decoder for processing an audio signal including generic audio and speech frames are provided herein. During operation, two encoders are utilized by the speech coder, and two decoders are utilized by the speech decoder. The two encoders and decoders are utilized to process speech and non-speech (generic audio) respectively. During a transition between generic audio and speech, parameters that are needed by the speech decoder for decoding frame of speech are generated by processing the preceding generic audio (non-speech) frame for the necessary parameters. Because necessary parameters are obtained by the speech coder/decoder, the discontinuities associated with prior-art techniques are reduced when transitioning between generic audio frames and speech frames.

Abstract: An acoustic shock protection device includes a prediction gain estimator and an audio compressor. The prediction gain estimator is configured to analyze a plurality of linear prediction coefficients of an audio signal and determine a category of the audio signal. The audio compressor is coupled to the prediction gain estimator, and the audio compressor is configured to adjust a signal level of the audio signal according to the category of the audio signal.

Abstract: Systems and methods for adaptively processing speech to improve voice intelligibility are described. These systems and methods can adaptively identify and track formant locations, thereby enabling formants to be emphasized as they change. As a result, these systems and methods can improve near-end intelligibility, even in noisy environments. The systems and methods can be implemented in Voice-over IP (VoIP) applications, telephone and/or video conference applications (including on cellular phones, smart phones, and the like), laptop and tablet communications, and the like. The systems and methods can also enhance non-voiced speech, which can include speech generated without the vocal track, such as transient speech.

Abstract: The suppression of off-axis audio in an audio environment is provided. Off-axis audio may be considered audio that does not originate from a region of interest. The off-axis audio is suppressed by comparing a phase difference between signals from two microphones to a target slope of the phase difference between signals originating from the region of interest. The target slope can be adapted to allow the region of interest to move with the location of a human speaker such as a driver.

Abstract: Maintaining and supplying a plurality of speech models is provided. A plurality of speech models and metadata for each speech model are stored. A query for a speech model is received from a source. The query includes one or more conditions. The speech model with metadata most closely matching the supplied one or more conditions is determined. The determined speech model is provided to the source. A refined speech model is received from the source, and the refined speech model is stored.

Abstract: A microphone-array-based speech recognition system combines a noise cancelling technique for cancelling noise of input speech signals from an array of microphones, according to at least an inputted threshold. The system receives noise-cancelled speech signals outputted by a noise masking module through at least a speech model and at least a filler model, then computes a confidence measure score with the at least a speech model and the at least a filler model for each threshold and each noise-cancelled speech signal, and adjusts the threshold to continue the noise cancelling for achieving a maximum confidence measure score, thereby outputting a speech recognition result related to the maximum confidence measure score.

Abstract: A method is described for improving the accuracy of a transcription generated by an automatic speech recognition (ASR) engine. A personal vocabulary is maintained that includes replacement words. The replacement words in the personal vocabulary are obtained from personal data associated with a user. A transcription is received of an audio recording. The transcription is generated by an ASR engine using an ASR vocabulary and includes a transcribed word that represents a spoken word in the audio recording. Data is received that is associated with the transcribed word. A replacement word from the personal vocabulary is identified, which is used to re-score the transcription and replace the transcribed word.

Abstract: According to one embodiment, a transcription support system supports transcription work to convert voice data to text. The system includes a first storage unit configured to store therein the voice data; a playback unit configured to play back the voice data; a second storage unit configured to store therein voice indices, each of which associates a character string obtained from a voice recognition process with voice positional information, for which the voice positional information is indicative of a temporal position in the voice data and corresponds to the character string; a text creating unit that creates the text in response to an operation input of a user; and an estimation unit configured to estimate already-transcribed voice positional information indicative of a position at which the creation of the text is completed in the voice data based on the voice indices.

Abstract: In an embodiment, a transcription support system includes: a first storage, a playback unit, a second storage, a text generating unit, an estimating unit, and a setting unit. The first storage stores the voice data therein; a playback unit plays back the voice data; and a second storage stores voice indices, each of which associates a character string obtained from a voice recognition process with voice positional information, for which the voice positional information is indicative of a temporal position in the voice data and corresponds to the character string. The text creating unit creates text; the estimating unit estimates already-transcribed voice positional information based on the voice indices; and the setting unit sets a playback starting position that indicates a position at which playback is started in the voice data based on the already-transcribed voice positional information.

Abstract: The wireless voice recognition system for data retrieval comprises a server, a database and an input/output device, operably connected to the server. When the user speaks, the voice transmission is converted into a data stream using a specialized user interface. The input/output device and the server exchange the data stream. The server uses a programming interface having an engine to match and compare the stream of audible data to a data element of selected searchable information. A data element of recognized information is generated and transferred to the input/output device for user verification.

Abstract: Systems and methods are provided for scoring non-native speech. Two or more speech samples are received, where each of the samples are of speech spoken by a non-native speaker, and where each of the samples are spoken in response to distinct prompts. The two or more samples are concatenated to generate a concatenated response for the non-native speaker, where the concatenated response is based on the two or more speech samples that were elicited using the distinct prompts. A concatenated speech proficiency metric is computed based on the concatenated response, and the concatenated speech proficiency metric is provided to a scoring model, where the scoring model generates a speaking score based on the concatenated speech metric.

Abstract: One aspect includes determining validity of an identity asserted by a speaker using a voice print associated with a user whose identity the speaker is asserting, the voice print obtained from characteristic features of at least one first voice signal obtained from the user uttering at least one enrollment utterance including at least one enrollment word by obtaining a second voice signal of the speaker uttering at least one challenge utterance that includes at least one word not in the at least one enrollment utterance, obtaining at least one characteristic feature from the second voice signal, comparing the at least one characteristic feature with at least a portion of the voice print to determine a similarity between the at least one characteristic feature and the at least a portion of the voice print, and determining whether the speaker is the user based, at least in part, on the similarity.

Abstract: The present invention provides a frugal method for extraction of speech data and associated transcription from plurality of web resources (internet) for speech corpus creation characterized by an automation of the speech corpus creation and cost reduction. An integration of existing speech corpus with extracted speech data and its transcription from the web resources to build an aggregated rich speech corpus that are effective and easy to adapt for generating acoustic and language models for (Automatic Speech Recognition) ASR systems.

Abstract: Sensors within the vehicle monitor driver movement, such as face and head movement to ascertain the direction a driver is looking, and gestural movement to ascertain what the driver may be pointing at. This information is combined with video camera data taken of the external vehicle surroundings. The apparatus uses these data to assist the speech dialogue processor to disambiguate phrases uttered by the driver. The apparatus can issue informative responses or control vehicular functions based on queries automatically generated based on the disambiguated phrases.

Abstract: Provided is an emotion information generating apparatus that is capable of recognizing a user's emotional state for each function of a terminal. The emotion information generating apparatus detects a user's emotional state and maps the user's emotional state to a function of the terminal, thus creating emotion information.

Abstract: Methods and arrangements for improving quality of content in voice applications. A specification is provided for acceptable content for a voice application, and user generated audio content for the voice application is inputted. At least one test is applied to the user generated audio content, and it is thereupon determined as to whether the user generated audio content meets the provided specification.

Abstract: Methods and arrangements for improving quality of content in voice applications. A specification is provided for acceptable content for a voice application, and user generated audio content for the voice application is inputted. At least one test is applied to the user generated audio content, and it is thereupon determined as to whether the user generated audio content meets the provided specification.