89results 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.

An ion radiation therapy machine provides a steerable beam for treating a tumor within the patient where the exposure spot of the beam is controlled in width and / or length to effect a flexible trade-off between treatment speed, accuracy, and uniformity.

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 requests the protection for a information propagation model based on online social network and propagation method thereof, and belongs to the field of online social network analysis. The information propagation model is composed of accessing to the data source, building dimensional attribute driving mechanism and building dynamic evolution strategy, building hot topic propagation model. The first step, the data source is accessed. The second step, dimensional attribute driving mechanism is built, user attributes is extracted from two aspects of network structure and user history, and the effects the two factors have to the driver of the user's participation in the topic are stated quantitatively through utilizing multiple linear regression methods. The third step, dynamic evolution strategy is built, income matrix is defined and popularity is perceived, and according to evolutionary game theory, building dynamic evolution strategy. The fourth step, hot topic propagation model is built. The user multidimensional attribute model, dynamic evolution strategy and traditional SIR model build a novel hot topic propagation model. The invention has the advantages of being effective to describe the spread of trend hot information in social networks and reveal the influence of different driving factors on information dissemination.

The invention relates to the technical field of internet application, and particularly provides a method and a device for delivering an advertisement in a network forum. The method comprises the steps of acquiring the keyword of a user and the keyword of each advertisement during the scheduling period, wherein the keyword of the user comprises at least one user keyword and the keyword of the advertisement comprises at least one advertisement keyword; searching a vector corresponding to the user keyword and a vector corresponding to the advertisement keyword in a word-vector library; according to the vectors corresponding to the user keyword and the advertisement keyword, calculating a cosine similarity for each user keyword and each advertisement keyword; accumulating the cosine similarities of all user keywords of the user and the advertisement keywords of the same advertisement; adopting the accumulated result as the matching degree of the user and advertisements; selecting one advertisement highest in matching degree with the user and delivering the selected advertisement to the user. According to the technical scheme of the invention, matching words with the semantics can be found, and the advertisement accurate delivery aiming at different users can be realized.

An ion radiation therapy machine provides a steerable beam for treating a tumor within the patient where the exposure spot of the beam is controlled in width and / or length to effect a flexible trade-off between treatment speed, accuracy, and uniformity.

The invention provides a model and a method for measuring the resistance of contact holes or through holes in bipolar transistor components, used for measuring the resistance of contact holes and through holes in the back-end process of transistor components. The model consists of a plurality of resistor components, wherein, a group of poly-silicon resistors or diffused resistors with different lengths and widths are required to be designed for measuring the resistance of the contact holes; and a group of metal resistors with different lengths and widths are required to be designed for measuring the resistance of the through holes. Each poly-silicon resistor consists of a poly-silicon layer, a contact hole and metal lead-out; each diffused resistor consists of an N-type or P-type diffusedlayer, a contact hole and metal lead-out, wherein, the contact hole is located between the poly-silicon layer or the diffused layer and the metal layer and used for leading out the poly-silicon resistors or the diffused resistors; and each metal resistor consists of a certain layer of metal, a through hole and metal lead-out, wherein, the through hole is located between two layers of metal and used for leading out the metal resistors in the lower layer. The current passing the resistors can be measured by applying voltage to two resistor lead-out ends of each resistor.

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.

A method of evaluating astigmatism of an irradiation system irradiating an electron beam is disclosed. In this method, a figure pattern consisting of plural (for example, four) concentric circles is formed on a reference sample 'WP' and an image (scanned image) is formed based on an electron signal obtained by scanning the electron beam onto the reference sample 'WP'. In the scanned image, the image has a blur in a region with its longitudinal direction parallel to the generating direction of the astigmatism and the size of the blur depends on magnitude of the astigmatism. Therefore, the direction and the magnitude of the astigmatism of the irradiation system of an irradiation apparatus can be detected based on the obtained scanned image.

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 a simulation operation method for a large-scale reservoir group in a main stream and tributaries of a river basin, and belongs to the field of optimal operation of a hydropowersystem. The method comprises the following steps that (1) construction of reservoir operation function is conducted, analysis of relevant factors affecting reservoir outflow is conducted, correlationanalysis is conducted, and determination of input factors of each reservoir operation function is conducted; (2) construction of a neural network model is conducted according to the input factors ofthe operation function, optimization of neural network parameters is conducted by adopting an adaptive moment estimation algorithm, training is conducted on the constructed neural network by using historical operation data of the reservoir, and the trained neural network is used as fitting function of the reservoir operation function; and (3) according to the fitting function of the reservoir operation function, a spatial topological structure and the constraints of the reservoir operation, the simulation operation model of the reservoir group is established to simulate the operation process of the basin reservoir group step by step. By means of the simulation operation method, the fitting accuracy is improved significantly, and the operation plan of the large-scale reservoir group in themain stream and tributaries of the river basin can be more accurately described in the case of the unknown operation law.

The invention relates to an ultrasonic image and CT image fusion real-time navigation system and method. The method is characterized by comprising the following steps: connecting all components, carrying out coordinate registration to obtain a registration matrix, and acquiring preoperative CT images or other preoperative images; performing CT image scanning to obtain CT images; according to the obtained CT images or an off-line fused image obtained by the fusion of the CT images and other preoperative images, confirming the position of the lesion tissue, confirming the needle insertion planewith the aid of an ultrasonic probe, and setting a target point / a target line; fusing the ultrasonic images into the CT images or the off-line fused image to generate a real-time fused image, and dynamically displaying the position of a surgical instrument on the real-time fused image; and updating the CT images in stages, updating the original CT images or the off-line fused image by adopting theupdated CT images, further updating the real-time fused image, and guiding percutaneous minimally-invasive surgery operations. The system can be widely applied to the field of percutaneous minimally-invasive diagnosis and treatment.

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.

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.

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.

The invention provides a method and a system for displaying archive catalogue information on a map. The system comprises a geographical information picture gallery, an archive catalogue information database and a geographical coordinate surveying tool. The method comprises the following steps of firstly, reading line information of the engineering from the archive catalogue information database by the geographical coordinate surveying tool, and drawing the line layer of the line in proportion; then, combining a geographical information coordinate database of the archive catalogue information database, and embedding the line layer onto the map; reading the coordinate information of an archive keeping unit in the archive catalogue information database, and drawing the position of the archive keeping unit; and finally, reversely correlating and searching the archive catalogue information through the coordinates of the line on the line layer. The cross-regional line project sections, bypass convertor stations, substations and the like are modeled and drawn on the map by the geographical coordinate technique, and the original disperse archive information distributed in each unit is drawn on the map in a general, accurate and lively way.

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.

A method for finely monitoring the water level of each region of a reservoir based on a neural network comprises the following steps: firstly, performing regional division on a water collection part of the reservoir to obtain different water collection regions of the reservoir, then collecting historical data of the water collection regions of the reservoir, and then constructing a neural network model for each type of water yield of each region of the reservoir; the neural network models are trained; after a water level mathematical model is constructed according to the reservoir water collection region, prediction is conducted according to data collected in real time, predicted data are input into the mathematical model to be solved, the water surface change and the water level height of each region at each fine graining moment in the future are obtained, and an alarm is given when the water level is larger than a set threshold value. According to the method, the water surface change and the water level height can be more accurately described, and the water level difference in a small time period is captured, so that refined monitoring and alarming are realized.

The invention discloses an optimization method for uploading information of a vehicle driving trajectory, and relates to the technical field of Internet of Things. The method comprises the following steps that a vehicle measures present position information continuously at a relatively high frequency, and the present position information includes latitude and longitude information; the vehicle uploads the position information measured at present to a network / cloud end in a relatively long default period; every time after uploading by the vehicle, the recorded latitude and longitude informationof the position is recorded, and is compared with the newly measured latitude and longitude information continuously; if the included angle of a deviation therebetween is greater than certain fixed angle, the new position is sent to the network / cloud end immediately; and otherwise, the vehicle reports the position information then till the next default period, and the above steps are repeated. Thus, it can be ensured that the network / cloud end can describe the vehicle driving rule accurately, and position information is uploaded as less as possible.

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.

[Problem] To generate an image that more accurately renders the 3D shape of a predetermined subject when generating an artificial 3D image by means of volume rendering. [Solution] When generating an artificial 3D image by means of volume rendering using an opacity curve defining the relationship between pixel values and opacity in a 3D image, the entire region representing the predetermined subject from the 3D image is specified, a base opacity curve is set for the specified entire region, for each of at least a subset of pixels within the specified entire region, a representative value of the pixel values within the region proximal to the relevant pixel is acquired, and an opacity curve resulting from imparting a change to the set base opacity curve using the acquired representative values is set as the opacity curve applied to the relevant pixel in volume rendering.

The invention discloses a DSM automatic comparison system based on aerial photography measurement, and belongs to the technical field of aerial photography measurement. The system comprises an elevation extraction module, an elevation conversion module, a layer superposition module and a comparison labeling module; the elevation extraction module is used for extracting elevation data of the two stages of aerial photos processed by the aerial photo processing module; the elevation conversion module is used for converting the elevation data of the two-stage aerial photo extracted by the elevation extraction module into a vector layer; the layer superposition module is used for performing superposition processing on vector layers of the two stages of aerial photos; the comparison labeling module is used for labeling areas with changes in the two-stage aerial photo vector layers. According to the invention, the method is scientific and reasonable, is suitable for large-scale aerial photo inspection and comparison, greatly shortens the inspection and comparison time, greatly reduces the manpower investment, can more accurately discover the existence of illegal buildings, is higher in comparison pertinence, and can achieve the effect of screening buildings with different areas through the adjustment of various numerical values.