5551results about How to "improve accuracy" patented technology

A golf club head includes a body, a striking plate engaged with the body and including a front side for striking a golf ball and a rear side, at least one vibration-receiving member made of an elastomeric material, and at least one adjusting member. At least one compartment is defined in a rear side of the body and is delimited by the rear side of the striking plate. The vibration-absorbing member is mounted in the compartment and in contact with a portion of the rear side of the striking plate. The adjusting member is adjustably mounted in the compartment to adjust a pressing force exerting on the rear side of the striking plate by the vibration-absorbing member and to adjust a compressed amount of the vibration-absorbing member, thereby effectively absorbing residual vibrations and avoiding loss of momentum.

Systems, methods, and devices for producing appliances for expansion of the arch of a patient are provided. An arch expanding appliance comprises a force generating portion to apply an arch expansion force and a retention portion to hold the force generating portion on the teeth. The retention portion comprises a flexible portion and a stiff portion. The force generating portion applies a force to move teeth associated with the flexible portion, while the stiff portion resists movement of its associated teeth. The orthodontic appliances can be designed according to the specifications provided herein and manufactured using direct fabrication methods.

A method and apparatus for reducing the longitudinal aspect of the catheter to stent force comprises at least one grip member for use with a stent delivery system. The grip engages a stent in the unexpanded state prior to delivery of the stent by retracting a stent retaining sheath. The grip comprises a body region having an outer diameter, a first end and a second end. The outer diameter of the first end is greater than the outer diameter of the second end. The grip is at least partially constructed from a polymeric material.

An eye tracking method for determining a position of an eye or a part of an eye in an image of an image sequence by performing a comparison between said image and a reference image, said process including: aligning a set of images; computing an enhanced reference image based on a combination of said set of aligned images; and determining said position in said image of said image sequence by comparing said image of said image sequence and said enhanced reference image to yield a motion estimation between said reference image and said image of said sequence.

This invention describes a method for a new methodology for improving a high speed downlink shared channel (HS-DSCH) transport format allocation in communication systems (e.g., mobile phone networks) using, e.g., a network element such as a node B. As CQI (channel quality indicator) reports made by a user terminal) are time stamped in a sense that they correspond to a given reference period, the Node B is able to determine what time instant in the past the given CQI report corresponds to. As the Node B scheduler knows a history of HS-DSCH (high speed downlink shared channel) transmission, it is able to determine how much HS-DSCH power was transmitted during the time corresponding to the received CQI report. Based on this information, it determines the bias required to the CQI reports received at different times to improve an accuracy of the allocated HS-DSCH transport format.

Catheter systems include direction-sensitive, multi-polar tip electrode assemblies for electroporation-mediated therapy, electroporation-induced primary necrosis therapy and electric field-induced apoptosis therapy, including configurations for producing narrow, linear lesions as well as distributed, wide area lesions. A monitoring system for electroporation therapy includes a mechanism for delivering electrochromic dyes to a tissue site as well as a fiber optic arrangement to optically monitor the progress of the therapy as well as to confirm success post-therapy. A fiber optic temperature sensing electrode catheter includes a tip electrode having a cavity whose inner surface is impregnated or coated with thermochromic/thermotropic material that changes color with changes in temperature. An optic fiber/detector arrangement monitors the thermochromic or thermotropic materials, acquiring a light signal and generating an output signal indicative of the spectrum of the light signal. An analyzer determines an electrode temperature based on the detector output and predetermined spectrum versus temperature calibration data.

Gaming chips 30 have an IC tag 34 which is embedded therein, and a special bar code 101 invisible to the naked eye, which is printed thereon. A server calculates the number of gaming chips 30 based on individual information of the IC tag 34 that was read out by a reader 38, based on individual information of the special bar codes 101 read out by a bar code scanner 102, based on weight data acquired at a weighing device 40 and based on image data processed in a camera 103. Further, the server checks a partial number or the total number of gaming chips 30 thus calculated, and outputs the check results from a display or speaker.

The invention discloses a personalized music recommendation method and system. The method comprises the following steps of: 1, generating user behavior data by a music recommendation server according to the operation of a user terminal on songs, wherein the user behavior data includes an operation time label, an operation frequency label and a song label; 2, performing clustering calculation of the user behavior data to obtain multiple result labels; 3, weighting the operation frequencies of the user behavior data according to the time interval thereof, wherein the weight is higher when the time interval is closer to the current moment; 4, normalizing the user behavior data after the weighting; 5, performing permutation and combination of the multiple result labels, calculating the similarity between the normalized user behavior data and each permutation and combination sequentially, obtaining the user taste according to the calculation result, and selecting a user taste model from the user taste; and 6, recommending songs to the user terminal by the music recommendation server according to the user taste model.

Information system designs and prototype implementation generated through one or more design and construction phases are validated utilizing predictive modeling. Design validation ensures that the design satisfies a set of performance requirements at each design phase, while validation of prototype implementation ensures the prototype behaves in conformance to the predictive model.

The invention discloses an image quality testing method based on a deep convolutional neural network. The image quality testing method based on the deep convolutional neural network comprises the following steps of firstly, establishing a sample set, establishing a deep convolutional neural network model, training the deep convolutional neural network model under different initial conditions, connecting the optimal deep convolutional neural network models obtained through the multiple times of training in parallel to obtain an image quality testing system, and using the obtained image quality testing system for testing images to be tested. According to the image quality testing method based on the deep convolutional neural network, characteristic learning is carried out by simulating the learning process of human brains, the problem that characteristics are difficult to select in an existing image quality testing method is solved, the contingency of predicting results is reduced, integration is high, generalization ability is strong, and testing effects are good.

The present invention is generally directed to powerful and flexible methods and systems for consensus sequence determination from replicate biomolecule sequence data. It is an object of the present invention to improve the accuracy of consensus biomolecule sequence determination from replicate sequence data by providing methods for assimilating replicate sequence into a final consensus sequence more accurately than any one-pass sequence analysis system.

Methods and apparatus are provided for determining the concentration of an analyte in a sample, such as an analyte in a sample of bodily fluid. Some embodiments use a synchronous demodulator and digital filter to reduce microphonic signal content. Some embodiments monitor the microphonic signal content and “hold off” on making a measurement until vibrations subside. Monitoring can be performed using an accelerometer or other vibration sensor. An algorithm can be used to examine the detector output signal and detect excessive microphonic components, making an accelerometer unnecessary.

The embodiment of the invention relates to an information push method in the field of communication, which comprises the following steps of: acquiring web pages which a user are interested in; acquiring user interests according to the web pages which the user are interested in; and determining information to be pushed to the user according to the user interests. The embodiment of the invention also provides an information push device and an information push system. The embodiment of the invention can acquire the user interests according to the web pages that the user browses so as to push the information to the user according to the user interests, which effectively improves push accuracy and avoids the user receiving a large amount of uninterested junk information.

The invention discloses an authentication method and device based on a blockchain. The method comprises the following steps: generating a roll-out private key for transferring digital assets through the blockchain and a corresponding roll-out public key according to a random number; carrying out coding treatment on the roll-out public key, and generating a roll-in address; carrying out digital signature on the basis of the roll-out private key, a transferring numerical value of the digital assets to be transferred and the roll-in address; acquiring digital asset transferring data on the basis of the transferring numerical value, the roll-in address, the digital signature and the roll-out public key; and broadcasting the digital asset transferring data into the blockchain so that the digital asset transferring data are subjected to first-grade authentication by an authentication side, or are subjected to multi-grade authentication by a server side and the authentication side jointly after first-grade authentication is finished. Therefore, by the embodiment, hacker attack ability can be improved, and safety requirements of data and transaction in a blockchain open environment can be met.

A multi-channel electronic pipettor has a removable lower multi-channel assembly to facilitate autoclaving. The pipettor includes a position holding mechanism which allows adjustment of the angular position of the lower multi-channel assembly with respect to the handle assembly. The lower multi-channel assembly includes a cylinder block including a plurality of aspiration cylinders along with a plurality of pistons, a series of pipette tip mounting shafts and a manifold to communicate between the aspiration cylinders and the air passageways in the pipette tip mounting shafts, among other components. The volume of the air passageways in the manifold is balanced among channels to improve tip-to-tip pipetting accuracy. In addition, the lower multi-channel assembly includes an internal frame to which the other components, such as a cylinder block, are attached either directly or indirectly.

The present invention belongs to the field of computer vision action recognition, and proposes an action recognition method based on the attention mechanism of the convolution recurrent neural network, in order to solve the problem that the obvious region cannot be effectively extracted in the action recognition and to improve the accuracy of classification. The method comprises: using the convolution neural network to extract the feature of the action video automatically; using the spatial transformation network to realize the attention mechanism based on the feature map, and extracting the obvious feature region by using the attention mechanism to generate the target feature map; and inputting the target feature map into the convolutional recurrent neural network to produce the final action recognition result. Experiments show that the proposed method has achieved good results on the benchmark action video test set such as UCF-11, HMDB-51, and the like, and improves the accuracy of action recognition.

In a camera system according to the present invention, a lens controller obtains an exposure synchronizing signal that is generated by a camera controller from a camera body, causes a configuration formed of a first encoder, a second encoder and a counter to detect the position of a focus lens according to the obtained exposure synchronizing signal, and notifies the camera body of the detected position of the focus lens. The camera controller associates the position of the focus lens or the mechanism member obtained from the lens controller with an AF evaluation value based on the exposure synchronizing signal, and controls an autofocus operation of the camera system based on the position and AF evaluation value that are associated with each other. With this configuration, it is possible to improve the accuracy of an autofocus operation with a contrast system.

The invention discloses a pedestrian indoor position tracking method based on an inertial sensor, relates to a pedestrian indoor position tracking method and particularly relates to a PDR (precision depth recorder) method and a PF fusion map information algorithm based on the inertial sensor. The pedestrian indoor position tracking method disclosed by the invention is used for solving the conditions such as great position estimation errors and even wrong estimation, and the like caused by long-time drift performance of the inertial sensor when only the PDR is used for tracking the pedestrian position. The method comprises the following steps of I. detecting steps and estimating step length according to an acceleration sensor; II. estimating a course angle according to the change of three-axle angular velocity in measured data of a gyroscope, correcting the course angle, carrying out course calculation according to the corrected course angle and the step length of the first step; and finally, estimating the position according to the step length and the course angle through the PDR method; and III. fusing map information with the PDR estimation by particle filtering to complete the pedestrian indoor position tracking method based on the inertial sensor. The pedestrian indoor position tracking method disclosed by the invention is applied to the technical field of indoor positioning.

A city emergency evacuation simulation system based on multi intelligent agent belongs to the complex system simulation in the technical field of computerized emulation and solves the problems of single function of emergency simulation systems of all kinds and lack of intelligence of code of conduct of emergency entity. The system comprise a database module, a communication module, a parameter configuration interface module, a data management module, an intelligent agent generation module, a program execution module, a simulation module, a commanding and decision-making module and an assessment module. The database module comprises a generalized database, a knowledge base and a model base; wherein, the generalized database comprises a dangerous source subdatabase, a resource subdatabase, a foundational geodata subdatabase. The system can establish an efficient intelligent model, describes the precise behavioral process of emergent intelligent agents of all kinds in the state of disasters and emergency from two levels of macroscopy and microcosmic, can custom-make a parameter and expanded intelligent model, has commonality and expansibility, and makes up the shortage and deficiency of the city emergency evacuation simulation study in regionality and comparatively large ranges.

The invention discloses a real-time expression recognition method based on a multichannel parallel convolutional neural network (MPCNN). The method comprises the steps of: extracting expression data, which contains RGB and Depth images, from a facial-expression data set; carrying out local binarization preprocessing (LBP) and facial-key-point extraction preprocessing on the color images, carrying out gradient preprocessing on the depth images, dividing the preprocessed images into two parts of a training set and a test set, and building the multichannel parallel convolutional neural network; sending the preprocessed images in the training set to the network for training to obtain depth channel, lbp channel and key-point channel recognition models which learn facial-expression outlines, stereoscopic distribution and key-point features; and adopting maximum confidence to fuse classification results of the three recognition models to obtain a final expression recognition model, and building a real-time expression recognition system. The method enhances the robustness of the recognition network, and effectively improves the performance of the real-time expression recognition system.

During red eye processing, whether a facial image detected from within an entire image is that of a specific person registered in a database is judged. In the case that it is judged that the facial image is of the specific person registered in the database, red eye detection is performed within the facial image, employing red eye detecting parameters, which are also registered in the database.

A mobile geophysical instrument produces geophysical data sets each associated with a position computed by use of a position sensor. A variable time delay results between a time when data for each geophysical data set is collected and a time when a position associated with each geophysical data set is recorded. A module receives distance transducer data and includes circuitry configured to generate a module signal based on trigger signals from the distance transducer and a calibration value. A data acquisition system (DAS) receives geophysical data sets from the geophysical instrument, positioning data from the positioning sensor, and the module signals. The DAS generates a DAS timestamp in response to each module signal and associates the DAS timestamp with each geophysical data set and a position associated with the geophysical data set, so as to substantially eliminate the variable time delay.

A bi-directional flow sensor is adapted for reducing pneumatic noise during pressure sensing with a flow passing through the flow sensor. The flow sensor comprises a hollow, tubular member having a throat section disposed between a ventilator end and a patient end. A flow restrictor is disposed in the throat section and is adapted to measure differential pressure in the flow. A baffle is mounted at the ventilator end and is adapted to minimize non-axial flow at pressure taps located on opposing ends of the flow restrictor. The patient end includes a flow obstruction configured to promote uniform velocity across the flow at the pressure taps during exhalation flow from the patient end to the ventilator end. The flow sensor minimizes pneumatic noise to less than 0.1 LPM to allow accurate patient flow measurement and triggering of inhalation and exhalation phases at flow rates of 0.2 LPM.

Methods and systems for supplying respiratory oxygen to users when the users are inhaling are disclosed. The methods and systems may rely on delivery devices that are selectively placed in fluid communication with either a respiration sensor or a source of oxygen. The methods and systems may actively monitor for exhalations, as well as monitor for oxygen in the oxygen source. The respiration sensor may preferably be a flow sensor.

The invention discloses a transformer substation inspection robot holder control method based on visual servo. The transformer substation inspection robot holder control method comprises the steps of: saving equipment images of each preset position of a transformer substation shot by a transformer substation inspection robot into a template library; acquiring the equipment images at the preset positions, and uploading the equipment images to a background service center; invoking the equipment images in the template library by means of the background service center, adopting an SIFT algorithm for matching a real-time inspection image with a template image, and registering common feature points of the two images; acquiring position information of an equipment region in the acquired image; verifying whether the acquired image contains a complete equipment region to be detected, and counting times of visual servo; and subjecting an equipment image acquired at the preset position by the inspection robot the last time to pattern recognition processing, and outputting real-time operating state of the equipment. The transformer substation inspection robot holder control method based on visual servo allows the robot to observe operating state details of the power equipment at far distance and long focal length, and realizes the purpose that the inspection robot observes the transformer substation equipment in a full-coverage manner.

The invention relates to the field of traffic image processing, in particular to a bayonet vehicle image identification method based on image features. The steps of bayonet vehicle image recognition method based on the image features includes that a template dada bank is established, the data bank stores template images which are shot with different style and different color vehicles, vehicle attribute data, vehicle body color data and vehicle scale invariant feature transform (SIFT) feature data are stored corresponding to each template image, wherein the SIFT feature data are obtained through data processing; vehicle recognition is conducted to to-be-identified images, color identification is conducted to the to-be-identified images, the template images which are fitted with the vehicle body colors are selected form the template data bank according to color identification results; the to-be-identified images are extracted the SIFT features and compared with the selected template images; the template images which are matched with the to-be-identified images are obtained; the vehicle attribute data are output, wherein the vehicle attribute data correspond to the matched template images. The bayonet vehicle image identification method based on the image features combines the vehicle color identification and the recognition based on a SIFT operator principle. Color information is added in the identification process. The defect that the SIFT operator discard the color information is overcome. Identification accuracy can be improved.

The invention relates to a gesture recognition method and a gesture recognition device. The gesture recognition method comprises a training step and a recognition step, wherein the training step comprise the sub-steps of: S1, synchronously acquiring a to-be-trained image with depth information and color information; S2, based on the depth information, determining a primary hand outline; S3, based on color information, determining a precise hand outline; S4, calling the depth information and the color information of the precise hand outline, determining a weighted average by self-adaption weighting to establish a three-dimensional gesture model, and training the three-dimensional gesture models of a plurality of to-be-trained images by using a classifier method to obtain an optimized three-dimensional gesture model. The recognition step is the same as the extraction mode of hand outline, and the optimized three-dimensional gesture model can be obtained according to S4, and the corresponding three-dimensional gesture is recognized. By using the depth information and the color information for recognition, the method has the advantages of high accuracy and high precision.

The method includes steps: continuous receiving at least one operation, administration and maintenance (OAM) message carried with sending time stamp from source node, measurement node records time stamp of receiving OAM message, saves the sending time stamp carried by OAM message, and self recorded receiving time stamp; based on saved sending time stamp and receiving time stamp, measurement node calculates network performance index. Without need of inpouring probe message to network, the method can keep consistent network performance index between performance measure period and not performance measure period so as to raise accuracy for measuring network performance.

The TR 309 is a portable otoscope video adaptor and viewing unit, designed to make the examination of ears, nose, throat, and eyes more easily attainable and to increase the size of the obtained view. It contains a built-in Camera/LCD/video recorder/otic thermometer in a handheld unit which fits the Welch Allyn or Heine otoscope or works totally independently. It is designed to fit into any shirt pocket for portability. It also can be easily pushed to the side, allowing the normal use of the Welch Allyn or Heine otoscope, or the 309's otic adapter, allowing foreign body removal or tympanocentesis. The TR 309 also provides for an unobstructed view and access to the eardrum, nose, throat, or eye for surgery while under real time view on the unit's LCD. A new ear specula and needle specifically designed for tympanocentesis is also described.

A metrology target formed by a lithographic process on a substrate includes a plurality of component gratings. Images of the target are formed using +1 and −1 orders of radiation diffracted by the component gratings. Regions of interest (ROIs) in the detected image are identified corresponding the component gratings. Intensity values within each ROI are processed and compared between images, to obtain a measurement of asymmetry and hence overlay error. Separation zones are formed between the component gratings and design so as to provide dark regions in the image. In an embodiment, the ROIs are selected with their boundaries falling within the image regions corresponding to the separation zones. By this measure, the asymmetry measurement is made more tolerant of variations in the position of the ROI. The dark regions also assist in recognition of the target in the images.