1862results about How to "Accurate removal" patented technology

An electromagnetically induced cutting mechanism provides accurate cutting operations on soft tissues. The electromagnetically induced cutter is adapted to interact with atomized fluid particles. A tissue remover comprises an aspiration cannula housing a fluid and energy guide for conducting electromagnetically induced cutting forces to the site within a patient's body for aspiration of soft tissue. The cannula is provided with a cannula distal end. The proximal end of the cannula is provided with fluid flow connection to an aspiration source. Separated soft tissue and fluid are aspirated through the cannula distal end and the cannula by an aspiration source at the proximal end of the cannula.

An electromagnetically induced cutting mechanism provides accurate cutting operations on soft tissues. The electromagnetically induced cutter is adapted to interact with atomized fluid particles. A tissue remover comprises an aspiration cannula housing a fluid and energy guide for conducting electromagnetically induced cutting forces to the site within a patient's body for aspiration of soft tissue. The cannula is provided with a cannula distal end. The proximal end of the cannula is provided with fluid flow connection to an aspiration source. Separated soft tissue and fluid are aspirated through the cannula distal end and the cannula by an aspiration source at the proximal end of the cannula.

The present invention provides for a system, method, and device for analyzing, localizing and / or identifying tissue types. The method includes analyzing, localizing and / or identifying one or more tissue samples, characterized in that the method comprises: (a) generating gaseous tissue particles from a site in the one or more tissue samples, (b) transporting the gaseous tissue particles from the site to an analyser, (c) using the analyser for generating tissue-related data based on the gaseous tissue particles, and (d) analyzing, localizing and / or identifying the one or more tissue samples based on the tissue-related data. The invention can either be used in close conjunction with a surgical procedure, when one or more surgical tools are an integrated part of ionization, or as a separate mass spectrometric probe for the analysis of one or more tissue parts.

An instrument for precisely cutting tissue to controlled dimensions (length, width, depth, and shape) is provided for the removal of tissue specimens from remote sites in the body of a patient, such as from the gastrointestinal tract, urinary tract, or vascular structures, or any tissue surface or soft tissue of the body. The instrument has a housing and a substantially flexible shaft extending from the housing to a distal end. The distal end of the instrument has an open cavity into which tissue is receivable. Suction can be communicated along the shaft to the distal end for distribution across the cavity utilizing a manifold having a grated tissue engaging surface with opening(s) for applying the suction, thereby pulling tissue adjacent to the distal end into the cavity against the tissue engaging surface of the manifold. One or more hollow needles are extendable from the housing through the shaft into the cavity to enable infusion of fluid, such as saline or a hemostatic agent, into the tissue. A blade in the distal end is extendable through the cavity over the manifold and across the opening to cut the tissue held by suction and stabilized by the needles in the cavity. The shape and depth of the tissue removed by the cuts is in accordance with the contour of the tissue engaging surface and the size and shape of the cavity at the distal end. The tissue so removed by the instrument may be for therapeutic intervention and / or represent a tissue specimen for biopsy suitable of diagnostic evaluation. The tissue edges in the patient's body left after cutting with this instrument readily avail themselves to apposition for enhanced healing.

A fluid filled ampoule comprises an ampoule body having a top end, a bottom end and a sealed interior containing a liquid. A top tab is coupled to the top end and is removable to create a drain vent in the top end. A bottom tab is coupled to the bottom end and is removable to create a drain opening in the bottom end. A movable shroud is coupled to the top end and is disposed about the top tab. The shroud is movable to permit access to the top tab.

The invention discloses a comprehensive treating system for domestic wastes. Reutilizing comprehensive treatment for mixed wastes is realized by the system according to a comprehensive sorting technology and a combined anaerobic fermentation technology, wherein the advanced sorting techniques, such as, crushing, magnetic separating, sieving, air classifying, and the like, are adopted in the comprehensive sorting technology; reutilized products, such as metal, plastics, organic matters, and the like, are screened out; the screened organic matters are prepared into slurry together with sludge and excrements and are then subjected to the combined anaerobic fermentation; the reutilized products, such as methane, organic fertilizer, and the like, can be produced under the action of anaerobic fermentation; and after the methane is purified, the methane is used for generating power, domestic fuel or vehicle-mounted fuel. According to the technology, the intensified treatment for organic wastes, such as domestic wastes, sludge, excrements, kitchen wastes, and the like, can be realized. The comprehensive treating system is high in mechanical and automated degree. Compared with the prior art, the comprehensive treating system has the advantages of simplification, effectiveness, less labor power, and the like.

The invention discloses an automatic depth-image registration method, which comprises the following steps: proceeding triangularization method for depth image; transmitting point cloud data into triangle grid data; finding the boundary point in the depth image according to the triangle grid data; calculating the character value of non-boundary vertex in the depth image; extracting character point set with projected surface character; finding the mating relationship as corresponding point among character points of two depth images; finding at least three couples of corresponding vertex; calculating the estimating value of movement of two depth images according to the corresponding point; adopting modified ICP algorism to optimize the result; finishing the precise registration of two depth images. The invention improves the speed and precision of registration, which reduces the calculating quantity with simple course.

The invention belongs to the technical field of radar remote sensing, and relates to an attention pyramid network-based SAR image multi-scale ship detection method. On the basis of an existing featurepyramid network, the invention provides a multi-scale feature extraction method with adaptive selection of significant features, namely the feature pyramid network based on a dense attention mechanism, and the method is applied to SAR image multi-scale ship target detection. Prominent features are highlighted from global and local ranges through the channel attention model and the spatial attention model respectively, and better detection performance is obtained; meanwhile, the attention mechanism is applied to the multi-scale fusion process of each layer, the characteristics can be enhancedlayer by layer, false alarm targets can be effectively eliminated, and the detection precision is improved.

The invention relates to an unmanned vehicle real-time positioning method based on laser reflection strength. The method comprises the following steps of S1, photographing two sides of a city road by an on-vehicle laser radar, obtaining a plurality of frames of point cloud data, extracting road edge points and converting the road edge points into a current vehicle coordinate system; S2, selecting the road edge points of which the z-axis coordinate value is in a preset range and obtaining coordinates of the road edge points in a GPS coordinate system, using the current GPS coordinate point of the unmanned vehicle as an original point, dividing a coordinate space for obtaining a grid map; S3, matching the gridded high-precision map with the grid map which is obtained in the step S2, thereby obtaining position of the unmanned vehicle on a high-precision map; and S4, predicating vehicle posture by means of a Kalman filter. Compared with prior art, the unmanned vehicle real-time positioning method can realize real-time accurate positioning in a complicated environment and can effectively improve driving safety of the unmanned aerial vehicle.

The invention provides a synchronous positioning and map-constructing method for a mobile robot facing an indoor dynamic environment, wherein the method can effectively solve the problem of positioning and navigation map construction for mobile robots in indoor dynamic environment. Specifically, the initial estimation of a camera pose is achieved by minimizing the photometric error of an image. Then, the motion compensation of the image is estimated, and a moving object in the image is segmented, local map points projected in the moving area of the image are eliminated, and the camera pose isfurther optimized. Finally, a TSDF dense map is constructed by using the optimized camera pose and camera image information, and real-time updating of the map in the dynamic environment is completed by using motion detection in image and map levels. Experimental results show that in the indoor dynamic environment, the method can effectively improve the positioning accuracy of the camera, realizesreal-time updating of the dense map, improves the robustness of the system and enriches the environmental information perceived by the robot.

The invention relates to an examining method examining the flaw of empty bottle nozzle and the device thereof, which is in particular suitable for the imperial crown beer bottle. The invention is characterized in that the method comprises the following steps: the bottle nozzle is given a photograph along the axis shaft line direction of the empty bottle to be examined to grasp the image of the bottle nozzle, the gradation abrupt change point in the image straight line territory is scanned, the decision of the weighting of coordinate array is judged and calculated, the ring fitting of the least square method is taken on the point obtained in the above steps, and the returned peripheral core coordinate and semi diameter is obtained. The circle parameter and radius parameter of the localization target area center is determined, and the target area is locked and given image preprocessing; and then whether the judgment requirement is met or not can be determined. The determining method provided by the invention can be easily utilized in inspecting equipment. And the high speed and high recognition rate automation examination to the empty bottle nozzle is thus realized. The invention has the advantages that the structure is simple, and the bottle with flaw can be correctly and automatically and efficiently rejected.

The invention discloses a high-efficiency voice detecting method. The method comprises the following steps: analyzing the short-time energy and the short-time zero-crossing rate of an original audio frequency on a time domain and removing parts of non-voice signals; analyzing the spectral envelop characteristic and the entropy characteristic of a preserved audio frequency signal subband on a frequency domain and further removing parts of non-voice signals; forming an audio frequency segment by continuous frames with similar characteristics in each preserved frame of audio frequency signals; calculating the average value of Mel-frequency Cepstral coefficient of each frame in each audio frequency, respectively inputting the average values into a voice gaussian mixture model and various non-voice gaussian mixture models, and performing band-level judgment on whether the audio frequency segment contains voice data according to the output probability of each model, thereby finally obtaining a voice detecting result. The method is capable of detecting voice signals from audio frequency data streams under various complex environments, and positioning the boundary between voice segment data and non-voice segment data relatively correctly.

The invention discloses a multifunctional intelligent clothing care machine. The machine is characterized by comprising a box body, wherein an air exhaust port is formed in the top part of the box body; a water tank and a water draining box which intercommunicate are arranged at the bottom part of the box body; a recognizing module, a washing module, a drying ironing or hanging ironing module provided with an intelligent algorithm system, and a caring module are arranged in the box body and are connected to an information storing and control module. According to the multifunctional intelligent clothing care machine, proper clothing stain removing program, washing program, drying program, ironing or hanging ironing program and casing program are accurately set; the clothing information recognizing and the stain type recognizing are intelligently combined; the care efficiency can be increased based on washing protecting models and intelligently-matched caring program, and meanwhile, the damage to the clothing appearance and physical and chemical performances can be decreased to the maximum. Therefore, common clothing and high-level clothing can be handled, and moreover, some clothing to be subjected to dry cleaning can be handled. The machine is high in automation degree; after a use puts clothing into the machine, the machine can automatically perform all tasks such as washing, drying, ironing and caring.

Embodiments of the present invention are directed to devices for allowing a user to deploy a stent in an anatomical lumen of a patient. For example, one embodiment is directed to a device including a longitudinally extending inner tubular member and a longitudinally extending outer tubular member that are longitudinally and axially displaceable relative to one another. The outer tubular member includes at least one longitudinally extending channel formed between the exterior and interior diameter of the outer tubular member. In addition, the device includes a handle configured to displace the outer tubular member and inner tubular member relative to each other in response to user intervention and a stop configured to coaxially engage the handle to form a safety mechanism. Displaceability of the outer tubular member and inner tubular member relative to each other is limited by the safety mechanism to a predetermined threshold.

A system for performing surgical repair of the spine includes a distractor and a permanently implanted bone plate system. A surgical repair methodology is also disclosed that employs an implanted bone plate system with a substantially void internal volume which is attached to adjacent vertebrae subsequent to the distraction and adjustment of curvature of the vertebrae and prior to the excision of disc and / or end plate tissue through the bone plate. The device further facilitates the subsequent delivery of an interbody repair device for the purpose of either fusion or dynamic stabilization, such as by disc arthroplasty. The plate may be permanently implanted, such as when a fusion between the attached vertebral bodies is desired, but it need not be permanently implanted

The invention discloses a hierarchical multi-source data fusion method for a pipeline linkage monitoring network, which comprises the following steps: carrying out data level preprocessing for various primary linkage detection signals acquired by a sensor at a common node of the monitoring network by using wavelet transformation, and extracting leakage-sensitive characteristic parameters; establishing a characteristic level data fusion model based on an ant colony neural network, processing the leakage characteristic parameters extracted by various sensors on the node, and constructing an elementary probability assignment function of evidence according to the output result of the ant colony neural network; and carrying out evidence synthesis at a cluster-head node according to an evidence combination rule, and making final decisions according to a maximum trust value method. The invention provides the hierarchical multi-source linkage detection data fusion method from the data level and characteristic level to decision level, and solves the multi-source data processing problem of the pipeline linkage monitoring network; and the method utilizes the linkage detection information acquired by various sensors in the network so as to effectively improve the accuracy rate of leakage identification.

The invention provides an actual-measurement modeling method for a prime mover and a speed governor thereof of an electric power system, belonging to the technical field of electric power systems. The invention solves the problem that the traditional prime mover and the speed governor thereof generate larger bias of a simulated calculation result due to the use of a typical model and typical parameters. The actual-measurement modeling method for the prime mover and the speed governor thereof of the electric power system comprises the following steps of: (1) collecting data; (2) establishing mathematical models of the prime mover and the speed governor thereof; (3) carrying out model selection; (4) carrying out segmented field testing on the prime mover and the speed governor thereof; (5) carrying out segmented parameter recognization to obtain parameters of each segment; (6) screening data before the population parameters are recognized; (7) carrying out population parameter recognization; (8) carrying out model parameter verification; (9) carrying out frequency large-disturbance testing; and (10) carrying out model parameter verification. By means of the actual-measurement modeling method, the models and the parameters can be ensured to be accurately applied to BPA (Bonneviklle Power Administration), PSS / E (Power System Simulator / Engineering) electric power system analysis software, and the electric power system simulation precision is improved.

The invention relates to a video monitoring system with an elevator invalid request signal removing function. Elevator waiting hall video acquisition modules are mounted in elevator waiting halls in each floor, and a car video acquisition module is mounted in a car. Images acquired are respectively transmitted to the elevator waiting hall video processing modules and a car video processing module. Whether people are in elevator waiting halls or in the car or whether the car is in full load conditions or not can be detected by comprehensively utilizing various image processing technologies such as human-body judgment and 'space full-load detection' technology. Further, processing results are transmitted to a CAN (controller area network) bus via a CAN module, and received by an invalid request processing module for further processing. For invalid requests, the invalid request processing module transmits removal commands to an elevator master controller, invalid stopping of the elevator in various conditions can be avoided, running efficiency of the elevator is improved and energy loss is reduced.

An improved flexible endoscopic instrument to precisely and efficiently obtains samples of flat polyps and multiple polyps from a patient by debriding one or more polyps and retrieving the debrided polyps without having to alternate between using a separate cutting tool and a separate sample retrieving tool and may be used with an endoscope. In one aspect, the cutting tool is coupled to a flexible torque coil or torque rope that is configured to transfer rotational energy from a powered actuator through the length of the endoscope onto the cutting tool.

The invention discloses a steady automatic matching method for high-resolution satellite image connecting points. The method comprises the following steps of: A, performing automatic enhancement by using Wallis filter technology, generating pyramid images of each layer and extracting the images by using feature extraction operators; B, forecasting an initial point position of identical points by using satellite image orientation parameters and upper pyramid matching results of characteristic points, establishing an epipolar geometric constraint equation, and performing geometric coarse correction on matched window images; C, removing error matched points in the matching result of the pyramid images of each layer by using an RFM model-based block adjustment method; and D, repeating the steps B, C and D till the primary image layer, and finally refining the matching result by using a double-sheet least square matching method. The method can greatly reduce the artificial editing workload of connecting point measurement and improve the automation degree of satellite image data processing by combining block adjustment and satellite image matching, and has remarkable economic benefit and social benefit.

A reception apparatus includes a plurality of antennas for receiving modulation signals of channels in the same frequency band, an received signal strength intensity estimation unit for estimating the reception received signal strength intensity of each reception signal, transmission path fluctuation estimation units for estimating a transmission path fluctuation of each channel of the reception signal, phase difference estimation units for calculating a phase difference of the transmission path fluctuation estimation signal of a predetermined channel of each antenna and outputting it as a phase difference signal, and a signal selection unit for selecting and outputting a reception quadrate baseband signal for isolating a signal of each channel from the reception signals and a transmission path fluctuation estimation signal of each channel. Thus, by isolating and demodulating a plurality of muliplexed modulated signals received, it is possible to improve the data transmission rate.

The invention discloses a monocular vision positioning system in a dynamic environment and a method thereof. According to semantic meaning, elimination of a dynamic object characteristic is realized.An environment image is acquired in real time through a monocular image camera. In the image, object detection is realized through a convolutional neural network, thereby obtaining the semantic meaning of the object. Furthermore determination of a dynamic object is realized according to priori knowledge. The characteristic in the image is extracted by means of an ORB algorithm, and furthermore thecharacteristic points of the dynamic object are eliminated according to the position of the dynamic object. Local bundle adjustment is performed on the gesture and the 3D point coordinate of the camera, thereby eliminating influence of the characteristic points of the dynamic object and improving positioning precision.

The invention discloses a method for automatically monitoring water quality indexes on line and a device for implementing the method. A method of combining an ultraviolet and visible spectroscopy and various sensors is adopted, dozens of water quality indexes including chemical oxygen demand and ammonia nitrogen can be measured at one time, measurement indexes can be configured in a building block mode according to requirements, and chemical agents are not required. According to the device, the constructed digital optical fiber spectrometer is taken as a core, ultraviolet and visible absorption spectrum data of a water sample is processed in a mode of sequentially combining wavelet de-noising, principal component analysis and a support vector machine, and water quality indexes such as chemical oxygen demand and biochemical oxygen demand of water are acquired. Various physical and electrochemical sensors acquire water quality indexes such as ammonia nitrogen, dissolved oxygen and conductivity. All hardware and software for implementing the method is put in a cabinet to form the device, and the device analyzes the introduced water sample under the control of an embedded industrial control computer system, and automatically monitors the water quality indexes in real time.

A photo-sensor capable of accurate removal of photo-current due to background light when sensing the photo-current due to light projection and having frequency band of photo-current sensing system independent of photo-diode current is disclosed. A transistor having the source connected to the photo-electric converting element for passing photo-current generated in the photo-electric converter. An inverting amplifier includes the input side connected to the juncture between the photo-electric converting element and the transistor for amplifying the output signal from the photo-electric converting element. A signal storing circuit is provided between the source and the gate of the transistor for storing a signal corresponding to the photo-current. A switching element is provided between the output side of the inverting amplifier and the gate of the transistor.

An INS assistance-based satellite navigation spoofing-type interference resisting method is disclosed. According to the invention, by employing position and speed information provided by INS, spoofing-type interferences are eliminated in two steps. Firstly, invisible satellites are eliminated based on satellite elevation angles; and then, by using satellite ephemeris information and the position and speed information provided by the INS, the pseudo range and pseudo range change rate curve of a real visible satellite and a corresponding receiver are calculated and compared with the satellite resolving pseudo range and pseudo range rate received in a channel, thereby effectively eliminating satellite signals which mismatch conditions. The method of the invention overcomes the defect that conventional satellite navigation spoofing-type interference resisting needs the foreknowledge of signal types and adopts different interference resisting methods for spoofing-type interference signals of different types; and the method of the invention expands the algorithmic applicability and reduces the algorithmic complexity, thereby being more applicable to complex spoofing-type interference environments.

It is the general calibration method of model-surface optical measuring system. Calibration board on which is located evenly with black rhombic square array in the white background and projector calibration grating of corresponding rhombic square array are uniquely employed in this invention. The calibration board position is corrected by laser to make the projector to project rhombic square array into the white interstice on the calibration board whose images before and after shutting up the projector is recorded by the camera used as calibration image. Then the basic data are obtained through the processing of the calibration image and accordingly the space coordinates of the projector calibration dots can be calculated. The calibration of the projector is realized on the basic datum through matching the coordinates of corresponding calibration dots of projector image. According to the relationship between the coordinate systems of projector and camera the calibration of systematic geometric parameter can be realized. The invention is of great engineering utility and can solve the accuracy problem of automatic extraction and realize the integrated calibration of camera and projector.