761results about How to "Reduce ambiguity" patented technology

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and / or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

A speech processing system which exploits statistical modeling and formal logic to receive and process speech input, which may represent data to be received, such as dictation, or commands to be processed by an operating system, application or process. A command dictionary and dynamic grammars are used in processing speech input to identify, disambiguate and extract commands. The logical processing scheme ensures that putative commands are complete and unambiguous before processing. Context sensitivity may be employed to differentiate data and commands. A multi faceted graphic user interface may be provided for interaction with a user to speech enable interaction with applications and processes that do not necessarily have native support for speech input.

A system and method for processing speech input comprising a speech recognizer and a logical command processor which facilitates additional processing of speech input beyond the speech recognizer level. A speech recognizer receives input from a user, and when a command is identified in the speech input, if the command meets conditions that require additional processing, a representation of the speech input s stored for subsequent processing. A logical command processor performs additional processing of command input by analyzing the command and its elements, determining which elements are required for successful processing the command and which elements are present and lacking. The user is prompted to supply missing information, and subsequent user input is added to the command structure until the command input is aborted or the command structure reaches sufficient completeness to enable execution of the command. Thereby, speech input of complex commands in natural language in a system running a plurality of applications and processes is made possible.

In embodiments of the present invention, a system and computer-implemented method for enabling dictation may include parsing standard reports in order to identify a plurality of logical phrases in the report used for discrete sections and descriptions. In the report method, the phrases may be parsed and identifier words throughout the report may be compared to eliminate ambiguities. The method may then involve constructing text macros that follow the parsed text, thereby enabling the user to speak the identifiers to indicate full, formatted text. Finally, the report method may involve constructing a mnemonic document so both beginner and experienced users can easily read the identifiers out loud to produce a report. The result of the method is an intuitive, notes-style way to use speech commands to quickly produce a standard, formatted report.

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and / or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Traffic measurement should make it possible to obtain the spatial flow of traffic through the domain, i.e., the paths or trajectories followed by packets between any ingress and egress point of the domain. A method of sampling packet trajectories in a packet switching network allows the direct inference of traffic flows through a measurement domain by observing the trajectories of a subset of all packets traversing the network. A method which assumes that the measurement domain does not change comprises the steps of selecting packets for sampling in accordance with a sampling function of the packet content and generating a practically unique label for each sampled packet. The method does not rely on routing state, its implementation cost is small, and the measurement reporting traffic is modest and can be controlled precisely. Using the same hash function will yield the same sample set of packets in the entire domain, and enables us to reconstruct packet trajectories. An alternate embodiment which assumes no constraints and that the measurement domain may change comprises the steps of applying a sampling function and altering an invariant bit position as a signaling flag in each packet selected for sampling.

An object location tracking system for tracking a movable object includes a plurality of beacons spatially distributed within a building, each beacon transmitting a respective ID signal, at least one transceiver device which receives the transmission of ID signals from the beacons and determines received signal strengths of such transmissions, the transceiver device adapted to be attached to the movable object, a motion detector coupled to the at least one transceiver device configured to provide information relating to a motion of the at least one transceiver device, and a processing module that uses information reflective of the received signal strengths of the transmissions received by the transceiver device, in combination with information reflective of the motion of the at least one transceiver device, to determine a current location of the transceiver device.

A communication system including a first administrative subsystem and a second administrative subsystem providing group communication service. The system includes a first server for storing group and list management information of subscribers of the first administrative subsystem. The system also includes a second server for storing group and list management information of subscribers of the second administrative subsystem. Further, the system includes an interface for exchanging group and list management information between the first server and the second server. In addition, the system reduces ambiguity in group information management of integrated systems that include two or more administrative domains.

The present invention relates generally to the field of video-camera systems, such as a video conferencing systems, and more particularly to video camera targeting systems that locate and acquire targets using an input characterizing a target and a machine-classification system to assist in target acquisition responsively to that input. In some embodiments, the characterization and classification are employed together with one or more inputs of other modalities such as gesture-control. In one example of the system in operation, an operator is able to make pointing gestures toward an object and, simultaneously speak a sentence identifying the object to which the speaker is pointing. At least one term of the sentence, presumably, is associated with a machine-sensible characteristic by which the object can be identified. The system captures and processes the voice and gesture inputs and re-positions a PTZ video camera to focus on the object that best matches both the characteristics and the gesture. Thus, the PTZ camera is aimed based upon the inputs the system receives and the system's ability to locate the target by its sensors.

Keyboards, keypads and other data entry devices can suffer from a keying ambiguity problem. In a small keyboard, for example, a user's finger is likely to overlap from a desired key to onto adjacent ones. An iterative method of removing keying ambiguity from a keyboard comprising an array of capacitive keys involves measuring a signal strength associated with each key in the array, comparing the measured signal strengths to find a maximum, determining that the key having the maximum signal strength is the unique user-selected key, and maintaining that selection until either the initially selected key's signal strength drops below some threshold level or a second key's signal strength exceeds the first key's signal strength.

A cross-pollination subsystem is provided within a Social-Topical Adaptive Networking (STAN) system. The cross-pollination subsystem cooperatively interacts with external platforms to bring fresh cross-pollination data to topic nodes or on-topic Notes Exchange rings (TCONE's) of the STAN system. Users are provided with an interface that allows them to browse through the cross-pollinated topic space to thereby connect with online content sources that are likely to correspond to topics of interest currently on the minds of the STAN system users.

In a cellular mobile telecommunications system the position of a mobile station can be estimated in terms of its bearing and range from a cell site. A multi-element direction finding antenna at the cell site receives signals from the mobile station and a receiver circuit estimates the bearing using the relative phase of signals received at different antenna elements and estimates the range by measuring round trip delay of signals to and from the mobile station. Motion of the mobile station can introduce errors into the bearing estimate due to frequency offset and frequency spread when element sampling is non-simultaneous. Compensation for these errors is introduced by using signal samples successively received at the same antenna element to estimate Doppler frequency offset and spread. It is necessary to ensure accurate calibration of the direction finding antenna and the receiver circuit. This is done by injecting calibration signals into the circuit near the antenna or into the antenna itself from a near field probe. Other aspects of calibration, such as antenna position, are calibrated using a remote beacon. A beacon emulating a mobile station but at a fixed, known location, or a beacon at an adjacent cell site may be used.

High-precision normal information on the surface of a subject is generated by capturing an image of the subject. A normal information generating device captures the image of the subject and thereby passively generates normal information on the surface of the subject. The normal information generating device includes: a stereo polarization image capturing section for receiving a plurality of polarized light beams of different polarization directions at different viewpoint positions and obtaining a plurality of polarization images of different viewpoint positions; and a normal information generating section for estimating a normal direction vector of the subject based on the plurality of polarization images of different viewpoint positions.

The present invention relates to a navigation unit and base station used for determining location. A plurality of base stations are initialized to determine their location relative to each other. At the navigation unit, the time of arrival of at least one signal from each of the plurality of base stations is measured. From this, the location of the navigation unit relative to the plurality of base stations may be directly calculated using a closed solution. In one embodiment, a time of arrival technique is used and in another embodiment a time difference of arrival technique is used. Preferably an ultra-wide band frequency is utilized.

The present invention discloses a visual target detection and labeling method. The method includes: an image inputting step, to input an image to be detected; a candidate region extracting step, to extract a candidate window as the candidate region from the image to be detected using selectively search algorithm; a feature description extracting step, to perform feature description on the candidate region using a pre-trained large-scale convolutional neural network and output the feature description of the candidate region; a visual target predicting step, to predict the candidate region based on the feature description of the candidate region using a pre-trained object detection module, to estimate regions having the visual target; and a position labeling step, to labeling the position of the visual target according to the estimated result. Experiments show that, compared with the mainstream week supervision visual target detection and labeling method, the present invention has a stronger ability to excavate positive samples and a more general application prospect, and is suitable for visual target detection and automatic labeling tasks on the large-scale data set.

A method and system for monitoring, evaluating, and improving effectiveness and efficiency for treating chronic medical conditions of a large patient population. The inventive method and system utilizes computerized patient interview and data analysis modules for assessing a patient's condition and indicating a need for medical attention. Patient interviews are regularly conducted by telephone using computer generated questions and voice recognition methods to enter responses into a database. A series of medical questions are developed and presented to the patient. Their answers are recorded and analyzed with respect to the database. Based upon the answers and the analysis thereof, a medical action plan is developed, care instructions provided, and an appointment with a doctor scheduled.

The system includes a novel software application interactive representation modeling language, a software application (82) operative to use the modeling language to create, read and modify interactive representation models of the proposed applications, a memory (86) to store requirement data and interactive representation model data, a software application (92) operative to read and update the interactive representation model data across a computer network, a software application (76) operative to maintain a record of the requirements and to administer operation of the system, a software application (78) operative to render interactive representations of the proposed applications in browser readable format, a software application (82) operative to allow multiple instances of other applications to access interactive representation data and requirement data residing in the memory and a software application (84) operative to allow an individual user's interactions with the system to be broadcast across a networked system to other users.

A system and method that translates sentences of natural language text into sets of axioms of formal logic that are consistent with parses resulting from NLP and acquired constraints as they accumulate. The system and method further present these axioms so as to facilitate further disambiguation of such sentences and produces axioms of formal logic suitable for processing by automated reasoning technologies, such as first-order or description logic suitable for processing by various reasoning algorithms, such as logic programs, inference engines, theorem provers, and rule-based systems.

A virtual environment for user interaction, and virtual objects for use therein, the virtual objects having an internal co-ordinate system with natural language definition to allow simplified inter-object relationships. The internal co-ordinate system is used to define docking positions for connecting to other objects to allow logical or natural positional relationships. A dynamically defined menu system allows pop-up menus for simple user entry of required relationships.

A method and system for examining tissue in order to differentiate it from other tissue according to the dielectric properties of the examined tissue, by: applying a probe to the tissue to be examined, such that the probe generates an electrical fringe field in the zone of the examined tissue and produces a reflected pulse therefrom with negligible radiation penetrating into the tissue itself; detecting the reflected electrical pulse; and comparing electrical characteristics of the reflected electrical pulse with respect to the applied electrical pulse to provide an indication of the dielectric properties of the examined tissue.

Keyboards, keypads and other data entry devices can suffer from a keying ambiguity problem. In a small keyboard, for example, a user's finger is likely to overlap from a desired key to onto adjacent ones. An iterative method of removing keying ambiguity from a keyboard comprising an array of capacitive keys involves measuring a signal strength associated with each key in the array, comparing the measured signal strengths to find a maximum, determining that the key having the maximum signal strength is the unique user-selected key, and maintaining that selection until either the initially selected key's signal strength drops below some threshold level or a second key's signal strength exceeds the first key's signal strength.

The present invention facilitates serial communication by performing duty cycle correction. A duty cycle correction component 302 performs duty cycle corrections on a pair of differential sinusoidal signals according to a pair of adjustment signals and, as a result, generates a differential pair of square wave signals. A cross coupled buffer 306 buffers the differential pair of square wave signals and provides the buffered signals to a feedback circuit 304 that measures duty cycles of the signals and generates the pair of adjustment signals accordingly. The buffer 306 can also remove skew from the signals. In a transmitter 102, the buffered signals are also generally provided to a multiplexer 112 or encoder and in a receiver 106, the buffered signals are also generally provided to a sampling component 122.

A leak in a membrane on top of a horizontal roof deck is located by applying conductive wires on the membrane underneath the aggregate in a grid pattern. A measuring and switching circuit generates voltage having a positive attached to the roof deck and a negative attached to the wires. The circuit has a relay for each wire which can be switched between a current sensor system and the negative potential. The sensor system is arranged to sense at each of the wires in turn the current flowing from the roof deck through any leak in the membrane to the wire. A micro-processor operates the relays in turn to connect all the other wires to the negative as a shield while each wire is sensed. From the output of the grid the changes in current in the x and y directions are analyzed to locate the leak in the membrane.

The invention discloses an intelligent electromechanical equipment management system and method based on BIM. The intelligent electromechanical equipment management system comprises an integrated delivery platform, an equipment information management module, a maintenance management module, an operation and maintenance knowledge base module and an emergence plan management module. By virtue of the system and the method, a property management practitioner can efficiently realize management of equipment information, maintenance, an operation and maintenance knowledge base and an emergence plan of a large number of complex electromechanical equipment of a building.

Certain embodiments of the present invention provide a system and method for electromagnetic tracking using a single-coil transmitter. The system includes a single coil transmitter emitting a signal, a receiver receiving a signal from the single coil transmitter, and electronics for processing the signal received by the receiver. The electronics determine a position of the single coil transmitter. The transmitter may be a wireless or wired transmitter. The receiver may be a printed circuit board. In an embodiment, the receiver may be a twelve receiver circuit printed circuit board including single coils and / or pairs of coils. The electronics may determine position, orientation, and / or gain of the transmitter.

An improved method of estimating an earth model utilizes an acoustic Full Waveform Inversion (FWI) of seismic data in a pseudo-time coordinate system, in which the earth model m({tilde over (m)}) is parameterized with two lateral coordinates (x,y) and a vertical coordinate ({tilde over (z)}) which expresses vertical travel time of acoustic signals used to generate the seismic data.