101results about How to "Accurate interpretation" patented technology

An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.

A dialog processing method and apparatus for uninhabited air vehicles is described. The apparatus contains a recognition unit for recognizing incoming data, an interpretation unit for interpreting the data according to a grammar and a response unit for generating an appropriate response to the incoming data. The method may utilize natural language processes and may reduce to a finite state machine. The incoming data is combined with uninhabited air vehicle state information to increase the accuracy of this interpretation. Additionally, the dialog states may be limited to customary air traffic control dialogs.

A method for generating and transmitting a transmission frame for transmitting a control message in a broadband wireless access communication system. The method determines if burst profiles for all subscriber terminals are changed. As a result of the determination, if the burst profiles for only some of the subscriber terminals are changed, a base station forms and transmits the control message including a field for identifying each of the subscriber terminals and a changed burst profile for each of the subscriber terminals.

The present invention provides reagents for use in an automated environment for removing or etching embedding media by exposing a biological sample to be stained in histochemical or cytochemical procedures without the dependence on organic solvents. The reagents comprise components optimized to facilitate removal or etching of the embedding media from the biological sample. The present invention also provides reagents for use in an automated environment for cell conditioning biological samples wherein the cells are predisposed for access by reagent molecules for histochemical and cytochemical staining procedures. The reagents comprise components optimized to facilitate molecular access to cells and cell constituents within the biological sample.

A method for synthesizing electrocardiogram leads includes obtaining a sequence of voltage-time measurements for a set of electrocardiogram leads and subjecting the measurements to abstract factor analysis to obtain a set of eigenvalues and associated eigenvectors. A minimal subset of electrocardiogram leads is identified from which the voltage-time measurements can be calculated with acceptable error. Simplex optimization is performed on a subset of the voltage-time measurements measured with the minimal subset of electrocardiogram leads to obtain a universal transformation matrix, and the universal transformation matrix is multiplied by the subset of the voltage-time measurements to calculate the full set of voltage-time measurements. The full set of leads can be used to calculate a body surface map, and the eigenvalues can be tracked in time to predict the onset of pathology such as myocardial infarction.

The invention discloses a classification model channel extracting seismic facies clustering analysis method, which comprises the steps of acquiring an initial classification model channel through neural network and particle swarm clustering calculation based on seismic waveform data; acquiring a new classification model channel through correlation analysis based on the initial classification model channel, carrying out clustering analysis on original data by using the new classification model channel, and acquiring a seismic facies classification figure; and predicting distribution of oil gas underground based on the seismic facies classification figure. According to the invention, the classification model channel is optimized through a two-step method, thereby effectively ensuring the stability of a classification result and effective discrimination of classes of neurons, finally realizing objective analysis for the seismic facies, and enabling a large amount of information in the seismic data to be interpreted accurately.

The present invention discloses a research method of trajectory design and on-site tracking and adjustment of a shale oil horizontal well, including identification and evaluation of shale oil sweet spots, optimal selection and trajectory design of the horizontal well, and on-site tracking and adjustment of the shale oil horizontal well. The “four-optimal and two-fine” practice in the research method of trajectory design and on-site tracking and adjustment of the shale oil horizontal well of the present invention lays a foundation for high and stable production of shale oil in closed lake basins and the integration of production and reserves increase. It provides a set of technical methods for the design and research of optimal selection of horizontal well locations and dynamic tracking analysis of drilling in shale oil development areas, and has great significance for reference and popularization.

A computer-aided image interpretation method and a device thereof to easily obtain an accurate image interpretation result are provided. An automatic classification means of the image interpretation device performs automatic classification by one of spectral characteristics, radiometric characteristics, diffuse characteristics, textures and shapes, or combinations thereof and accumulates data to an interpretation result database, for plural features of the same kind obtained by interpreting a remote sensing image obtained with an observation sensor. A means for extracting candidate of modification of interpretation result extracts the candidate of modification of interpretation result by comparing likelihoods that are the automatic classification results. A reinterpretation is performed for the candidate of modification of interpretation, and an interpretation result database is updated by an interpretation result update means. As a result, modification of the interpretation work can be efficiently performed.

In an embodiment, a wearable device (12) is disclosed that automates the detection and determination of a type of activity, and both measures physiological and behavioral parameters and computes information corresponding to measured physiological parameters based on the determined type of activity. An embodiment of the wearable device provides these features by wirelessly receiving a signal with information coded therein that enables the wearable device to automatically detect and identify the type of activity in which a person (82) is engaged. The determination of the type of activity enables a more accurate computation of information that is specific to the activity in which the person is engaged, the computation of information based on the measured physiological and behavioral parameter.

A system and a method for spatially ordered estimation and visualization of multi-lead electrocardiographic ST deviations induced by myocardial ischemia, in which system a plurality of ECG signals are recorded from a ECG source, which signals are stored by a processor in a memory, which processor processes the signals to obtain ST deviation, which processor performs measurement of ST deviation from each lead where the processor performs a multi-dimensional estimation of an vector representing of the spatial direction and magnitude of the underlying cardiac injury-current giving rise to the measured ST deviations, which processor hereby estimates the spatial location and severity of myocardial ischemia.

The invention discloses a dynamic electrocardiogram analysis method and system based on the network and artificial intelligence. The method comprises the steps that a dynamic electrocardiogram storageand analysis server receives dynamic electrocardiogram data uploaded by a dynamic electrocardiogram original collection data uploading terminal; the dynamic electrocardiogram storage and analysis server performs pre-analysis on the received dynamic electrocardiogram data, and automatically generates a dynamic electrocardiogram analysis report directly through the pre-analysis or automatically generates the dynamic electrocardiogram analysis report after a dynamic electrocardiogram pre-analysis data analysis terminal confirms a pre-analysis result; a dynamic electrocardiogram analysis report display and explanation terminal displays, explains and prints the dynamic electrocardiogram analysis report so as to assist a medical worker in diagnosing a patient and explaining the dynamic electrocardiogram analysis report to the patient. The analysis report generated through the above technical scheme and a provided corresponding data explanation report are used for being viewed by primary hospital physicians, so that the efficiency of explaining and analyzing the report of the physicians is improved.

A method of tuning a decision network can include a series of steps. The steps can include identifying a deviation between a correct interpretation of a data item and an incorrect interpretation of the data item. In a decision network including a hierarchical set of nodes and leaves, a path of traversed nodes in the decision network resulting in the deviation can be determined. The nodes can correspond to queries. A measure of goodness at a node in the path can be calculated using at least one new query as a replacement for an existing query to determine whether the measure of goodness improves using the new query compared to the old query. If the measure of goodness improves, at least one new query can be selected and the decision network can be regrown from the node down through the leaves using the at least one new query at the node.

The invention belongs to the field of magnetic control soft robots, and particularly relates to a multi-arm miniature magnetic control soft robot and a motion monitoring and control method thereof. When the robot is in a spreading state, the robot comprises a central head part and a plurality of arms which are uniformly distributed in the circumferential direction of the head part in a radial manner; the central head part and the multiple arms are manufactured into a whole; and each arm of the robot is magnetized in the radial direction, and the central head of the arm does not have the axial magnetization direction. A plurality of wireless micro pressure sensors are attached to the back face of the robot, and the motion state of the robot can be monitored in real time; and under the action of an external magnetic field, the robot can realize the functions of rolling forward, pivot steering, obstacle crossing and fixed-point object placement with an object. The robot is simple in structure and convenient to manufacture, and scattered assembly or step-by-step magnetizing is not needed; and remote control is achieved, movement is flexible, monitoring is easy, and accurate transportation tasks can be executed in a closed and complex environment.

A device for measuring torsional distortion of a body comprises first and second clip portions each having a central part and two legs depending from the central part, each leg having adjacent the free end thereof a groove or projection for engaging a respective projection or groove (14) provided in the body (16) to mount the clip portion the body rotationally fastened therewith. A bridge interconnects the clip portion. The bridge is less stiff than the clip portions whereby relative rotational displacement of the clip portions caused by torsional distortion of the body will cause proportional deflection of the bridge. Means, for example a SAW device (15), are provided for measuring the deflection of the bridge to provide an indication of the torsional distortion which produces the deflection of the bridge. Also (20) for the interior all of a hollow body.

The present invention relates a novel system and method to diagnose and predict systemic disorders including brain disorders and mental states in early stage and more accurately. More particularly, this invention relates to a novel method of EEG recording and processing through which multiple output data streams are taken together from a system like brain and the structure of their correlation matrix is studied through its eigenvector, eigendirection and eigenspaces and other signal processing techniques including compression sensing, wavelet transform, fast fourier transform etc.

The invention provides a seabed-based static force injecting and sampling platform. A pulley base is connected with a stretching end which is penetrated into an oil cylinder; a first driving rope penetrates through a first movable pulley; one end of the first driving rope is connected with a frame through a fixed pulley; the other end of the first driving rope is connected with the upper end of a sliding plate through the fixed pulley; a second driving rope penetrates through a second moveable pulley; one end of the second driving rope is connected with the frame through the fixed pulley; the other end of the second driving rope is connected with the lower end of the sliding plate through the fixed pulley; a guide rail is arranged at a lateral end of the frame; the sliding plate is in sliding connection with the guide rail; an upper left-and-right clamping jaw is arranged on the sliding plate; a lower left-and-right clamping jaw is arranged at the lateral end of the frame and is on a downside position of the upper left-and-right clamping jaw; a stretching end of the upper stretching oil cylinder is connected with the upper left-and-right clamping jaw; the lower left-and-right clamping jaw is connected with the stretching end of a lower stretching oil cylinder; and the upper left-and-right clamping jaw and the lower left-and-right clamping jaw both can clamp or release a rod. The invention has the beneficial effect that the in situ detection and long-term in situ observation for the seabed precipitates and the synchronizing same-point measurement for static force sampling can be realized.

Generating, during a first and second signaling interval, an aggregated data signal by forming a linear combination of wire signals received in parallel from wires of a multi-wire bus, wherein at least some of the wire signals undergo a signal level transition during the first and second signaling interval; measuring a signal skew characteristic of the aggregated data signal; and, generating wire-specific skew offset metrics, each wire-specific skew offset metric based on the signal skew characteristic.

The invention provides an automatic classification method and system for failure information of a CIS (contact image sensor). The automatic classification method includes the steps: outputting a detection result picture file which is a BMP (bitmap) picture file by the CIS; reading the detection result picture file and extracting the failure information. The specific process includes: switching the BMP picture file into a hexadecimal file; finding the gray value range of failure bits by a hierarchical cluster analysis method according to the characteristic of pixel color jump of normal bits and the failure bits; switching the failure information into a result file in a standard text format; automatically classifying the failure information in the result file according to a user-defined failure mode; displaying an automatic classification result. The problem of difficulty in automatic classification analysis for CIS product image testing results is rapidly solved, and the problems of low efficiency and inaccuracy of statistics and classification manually performed with eyes for a long time are avoided.

An audio device, an audio system, and an audio processing method that implement noise (echo) cancellation techniques are provided. The audio device includes a primary microphone(s) that is arranged closer to a desired sound source and configured to collect first audio signals containing more of target audio signals. In addition to the primary microphone(s), an auxiliary microphone(s) is arranged away from the desired sound source and configured to collect second audio signals containing less of the target audio signals. A microcontroller is configured to process the first audio signals and the second audio signals to generate a data stream. An encoding scheme(s) is implemented in encoding the audio signals, optionally with to-be-played audio signals outputted to a loudspeaker, into the data stream. At least one multi-input audio processing algorithm(s) is applied to the data stream to arrive at an accurate interpretation and/or comprehension of the audio signals or an improvement of human-to-human voice communications.