87results about How to "Accurate depiction" patented technology

A system and method for monitoring a patient includes a sensor configured to acquire physiological data from a patient and a processor configured to receive the physiological data from the at least one sensor. The processor is also configured to apply a spectral estimation framework that utilizes structured time-frequency representations defined by imposing, to the physiological data, a prior distributions on a time-frequency plane that enforces spectral estimates that are smooth in time and sparse in a frequency domain. The processor is further configured to perform an iteratively re-weighted least squares algorithm to perform yield a denoised time-varying spectral decomposition of the physiological data and generate a report indicating a physiological state of the patient.

A real-time, dynamic, free space-virtual reality, 3-D image display system which is enabled by using a unique form of Aerogel as the primary display media. A preferred embodiment of this system comprises a 3-D mosaic topographic map which is displayed by fusing four projected hologram images. In this embodiment, 4 holographic images are projected from 4 separate holograms. Each holographic image subtends a quadrant of the 4pi solid angle. By fusing these four holographic images, a static 3-D image such as a featured terrain map would be visible for 360 degrees in the horizontal plane and 180 degrees in the vertical plane. An input, either acquired by 3-D image sensor or generated by computer animation, is first converted into a 2-D computer generated hologram (CGH). This CGH is then downloaded into large liquid crystal (LC) panel. A laser projector illuminates the CGH-filled LC panel and generates and displays a real 3-D image in the Aerogel matrix.

Methods and computer program products for quantitative three-dimensional (“3D”) image correction in optical coherence tomography. Using the methods and computer program products, index interface (refracting) surfaces from the raw optical coherence tomography (“OCT”) dataset from an OCT system can be segmented. Normal vectors or partial derivatives of the curvature at a refracting surface can be calculated to obtain a refracted image voxel. A new position of each desired refracted image voxel can be iteratively computed. New refracted corrected voxel positions to an even sampling grid can be interpolated to provide corrected image data. In some embodiments, clinical outputs from the corrected image data can be computed.

A method of accounting for errors in the altitude reporting of a terrain alert and warning system (TAWS) is disclosed wherein errors due to non-standard atmospheric conditions, incorrect altimeter setting and air data computer (ADC) sensor error are detected and corrected for by compensating ADC altitudes for cold temperatures as well as using global positioning system (GPS) altitude data to confirm the accuracy of the ADC altitude information at all times.

A method and device for automatically identifying a point of interest (e.g., the deepest or highest point) on the surface of an anomaly on a viewed object using a video inspection device is disclosed. The video inspection device obtains and displays an image of the surface of the viewed object. A reference surface is determined along with a region of interest that includes a plurality of points on the surface of the anomaly. The video inspection device determines a depth or height for each of the plurality of points on the surface of the anomaly in the region of interest. The point on the surface of the anomaly (e.g., having the greatest depth or height) is identified as the point of interest. A profile of the object surface at the point of interest is then determined.

The invention provides a detection sensing system for remotely operating a rescue robot. The detection sensing system comprises a monitoring computer, an on-board computer, a bottom control circuit unit, an image collecting and transmitting unit, a laser distance-measuring radar unit, an inertial attitude reference system unit and a detection sensor unit, wherein the bottom control circuit unit comprises a main control unit module, a pan-tilt camera driving module, a power supply module and a bottom circuit main board; the image collecting and transmitting unit comprises a pan-tilt camera and a video transmission module; the detection sensor unit comprises a temperature sensor, a sound sensor, a gas sensor and the like; the on-board computer is connected with the main control unit module through a USB (Universal Serial Bus) data interface; and the main control unit module and the pan-tile camera driving circuit module are designed to be arranged on the bottom control circuit main board through a pin type interface. The detection sensing system has good universality and higher transportability, and can be used for various types of robots such as rescue robots and domestic service robots.

The invention discloses an electromagnetic vortex synthetic aperture radar echo signal simulation method and device. The method comprises the following steps: obtaining simulation parameters of a radar system; according to the obtained simulation parameters, determining scene parameters of a target scene region; and according to the simulation parameters and the scene parameters, obtaining an electromagnetic vortex synthetic aperture radar echo signal. The provided echo signal simulation method is suitable for the situation where an electromagnetic vortex carrying an orbital angular momentum serves as a radar transmitting signal; and the method can accurately describe the electromagnetic vortex synthetic aperture radar echo signal, and lays a model foundation for realizing electromagneticvortex synthetic aperture radar imaging processing.

The invention discloses a wind power ultra-short term probability prediction method and system based on empirical dynamic modeling, and the method comprises the steps of carrying out the standard normalization processing on a time sequence of a to-be-predicted quantity, and carrying out the nonlinear aggregation degree calculation of data after the standard normalization processing, so as to inspect the nonlinear degree of a given dynamic system; calculating an optimal embedding dimension E and delay time tau by adopting a particle swarm optimization algorithm; further, performing phase spacereconstruction on the time sequence of the to-be-predicted quantity; and constructing an empirical dynamic model, and predicting the given dynamic system in the reconstruction phase space by adoptinga simplex projection method to obtain a prediction result of the to-be-predicted quantity. The prediction result shows that the wind power ultra-short term probability prediction method based on empirical dynamic modeling can achieve objective description of the wind power generation dynamic process completely according to data, and the effectiveness of probability prediction is remarkably improved.

The invention discloses an LED light address emitter, a vehicle networking system and an electronic map drawing method. The LED light address emitter comprises a storer and an LED lamp. The vehicle networking system comprises the LED light address emitter, an LED light address receiver, a vehicle-mounted processing unit and a monitoring center. The electronic map drawing method comprises the steps of firstly drawing a base map, collecting real-time address signals of a plurality of automotive vehicles, and then drawing lane information and real-time vehicle position information on the basis of the base map according to the real-time address signals of each automotive vehicle. The vehicle networking system realizes the accurate positioning of automotive vehicles and the real-time and accurate monitoring of the monitoring center through the LED light address emitter, the LED light address receiver, the vehicle-mounted processing unit and the monitoring center as well as the connection relation thereof. The electronic map drawing method can be widely applied to the vehicle networking system.

The invention relates to a wireless delay-tolerant network routing method based on a multi-layer network, and belongs to the field of computer network technologies. The method is based on the following rule comprising a one-copy routing strategy, and a TTL field of each message which identifies the life time of the message, wherein the field is continuously reduced along with time, and when the field is reduced to zero, the message is discarded. The method comprises the following steps of firstly establishing a multi-layer social graph according to social contact information such as historical meeting records, historical communication records, friend lists of online social contact platforms and interest set data; then extracting a social contact attribute according to the multi-layer social graph; then computing a corresponding social contact index according to social contact attribute; and at last determining that whether to forward a data packet according to the social contact index. Compared with the prior art, the method effectively improves the success rate for forwarding the DTN network message, and is applicable to the network environment which has a certain tolerance to transmission delay but is high in requirement on the success rate for forwarding the message.

Systems and methods for animating a collaborator modification are disclosed herein that utilize duration information associated with the modification in order to depict the timing associated with the modification.

The invention provides a 3 D projection printing system and a method thereof. The 3 D projection printing system comprises a projection unit, an image sensing unit, an image processing unit and an accommodating chamber, wherein the projection unit is used for projecting light sources to an object; the image sensing unit is used for scanning at least one variable image produced by the light sources projected to the object; the image processing unit is used for receiving the variable images, generating stereoscopic images, conducting layer cutting processing on the stereoscopic images and sending generated data comprising a plurality of layers of plane images to the projection unit; and the accommodating chamber is used for accommodating a photographic forming material. The plane images are projected to the corresponding parts of the photographic forming material layer by layer through the projection unit according to the data so as to be subjected to light curing, and then the light-cured part corresponding to each layer of plane image is subjected to curing, so that each corresponding stereoscopic layer is formed, and when all stereoscopic layers are formed one by one, a stereoscopic object corresponding to the overall appearance of the object is formed.

The invention provides a wireless vibrating wire acquisition system and method for synchronous sampling. The system comprises a main control end (1), a vibrating wire sensor acquisition end (2) and a vibrating wire sensor (3). The main control end (1) performs networking and data interaction with all acquisition nodes in the vibrating wire sensor acquisition end (2) in a wireless mode; each acquisition node in the vibrating wire sensor acquisition end (2) receives and responds to all operating commands sent by the main control end (1); and the vibrating wire sensor (3) senses micro deformation of a part to be detected such as a bridge, a slope and the like, converts the micro deformation into electrical signals and transmits the electrical signals to the vibrating wire sensor acquisition end (2) for acquiring. The method comprises: step 1, initializing the system; step 2, sending a networking connection command; step 3, starting synchronous sampling; step 4, acquiring data of each acquisition node; and step 5, storing and uploading the data. By adopting the wireless mode, the synchronous sampling function of each node is realized, the detection efficiency is greatly improved, and the accuracy and the reliability of data are ensured.

The invention discloses an electronic fitting device and a wardrobe containing the electronic fitting device. The electronic fitting device comprises a device body, an electronic balance, an ultrasonic wave sensor and a universal cantilever support, wherein the device body is provided with a display, the electronic balance is connected with the device body, and the ultrasonic wave sensor is connected with the upper portion of the device body through a bracket. The provided electronic fitting device and the wardrobe containing the electronic fitting device have the advantages that the structureis simple and reasonable, the electronic fitting device and the wardrobe are convenient when being installed and used, the electronic fitting device not only has a function of depicting a human bodybust-waist-hip model accurately, but also has a function of depicting clothes, jewelry, shoes and the like of a user more finely, and the finely depicted clothes, jewelry, shoes and the like of the user are placed on the human body bust-waist-hip model to enhance the reality sense; the provided wardrobe can help the user locate the position wherein target clothes are located accurately, thereby shortening the time of the user finding and matching the clothes, the individuation is strong, and the user experience is improved.

The invention discloses a holographic intersection sensing method based on a multi-source sensor, and the method comprises the following steps: 1, obtaining target data detected by a radar and a video at the same time, wherein the target information detected by the radar comprises the target intensity, the position information and the speed information, the position information comprises the slant distance and the azimuth angle, the target information detected by the video comprises a target type, position information and the height and width of pixels occupied by the target, and the position information comprises the center position of the pixel where the target is located; 2, converting coordinates of position information in the radar target and the video target; and 3, generating and updating a target track by using the target position information which is subjected to coordinate conversion and detected by the radar and the video respectively. Compared with the prior art, the method has the advantages that the problem that a single video sensor is insufficient in sensing capacity due to target shielding, capacity limitation and the like is solved.

The invention provides a coal bed gas prediction method based on frequency attenuation, and belongs to the field of seismic exploration and development of oil gas and coal bed gas. The coal bed gas prediction method comprises the steps that (1) seismic data x(t) are input; (2) pulse deconvolution frequency increase processing is conducted on the seismic data x(t), and a seismic record S(t) after frequency increase is obtained; (3) wavelet transformation spectral decomposition is conducted on the seismic record S(t) obtained after the frequency increase, and frequency spectra at the top and the bottom of a coal bed are obtained; (4) the difference value between the frequency spectra at the top and the bottom of the coal bed is obtained, contrastive analysis is conducted on the coal bed and the difference between the frequency spectra, and a frequency attenuation result of the coal reservoir is obtained; (5) the frequency attenuation result of the coal reservoir is output. According to the coal bed gas prediction method based on frequency attenuation, the pulse deconvolution frequency increase technology is applied, so that dominant frequency of the seismic data is effectively increased, an effective frequency band is broadened, and a data guarantee is provided for analysis of seismic wave frequency absorption attenuation features.

The invention discloses an electrical quantity ultra-short prediction method and system based on data mining, wherein the method comprises the steps: standard normalized processing is performed on a to-be-measured time series, and calculations of non-linear polymerization degree and an optimal embedded dimension E are performed on standard normalized data, so that the non-linear degree of a given dynamic system is inspected; according to the optimal embedded dimension E, delay time [tau] of the to-be-measured time series is calculated; according to the optimal embedded dimension E and the delay time [tau], phase-space reconstruction is performed on the to-be-measured time series; a experience dynamic model is constructed, a simplex projection method is adopted in the reconstructed phase space to predict the given dynamic system, and a prediction result of the to-be-measured time series is obtained.

The invention provides a user behavior big data analysis system based on Internet, which comprises a database, a data analysis module, an enterprise terminal, a user terminal and a push module. The enterprise terminal is used for collecting product or service information provided by the enterprise, the user terminal is used for collecting user access information, and the database is used for presetting and storing user information model to form a unified user data format. The user terminal and the enterprise terminal send the collected information to the database respectively. After the database updates the user information model by using the information uploaded by the user terminal, the updated user information model is transmitted to the data analysis module. After the analysis of the data analysis module, the user behavior preference information is obtained, and the user behavior preference information is transmitted to the enterprise terminal through the data pushing module. The invention accurately retrieves access trajectory, personal preference and payment data of a user on a common network application through a user terminal, thereby laying a foundation for describing moreaccurate user model data.