613results about How to "Accurate and reliable" patented technology

A tubular knit fabric comprising at least one insulative yarn, at least one stretchable yarn, and at least one functional yarn, the insulating yarn, the stretchable yarn, and the functional yarn knitted together to define a tubular fabric sleeve having the functional yarn embedded in the tubular fabric sleeve in a continuous spiral configuration which longitudinally extends the length of the sleeve.

A method for identifying artifacts occurring during a measurement of the concentration of an analyte in a biological sample by means of an apparatus that employs temperature-controlled optical probes, introduces electromagnetic radiation into tissue, and collects and detects radiation emitted at a distance from the point at which the electromagnetic radiation is introduced. The values of intensity of radiation emitted at different wavelengths, at different distances between the light introduction site(s) and the light collection site(s), and at different temperatures are collected and used in the method to generate a relationship between these values and the concentration of an analyte in the tissue or the disease state of a patient. The method involves the use of an algorithm that identifies artifacts in the data resulting from motion of the patient and allows the rejection of data sets that contain these artifacts. The algorithm identifies sudden changes in the magnitude and direction in a sequence of collected signals.

A method and system generates correlated biometric information by capturing an image of a retinal vessel pattern and simultaneously capturing an image of an iris minutia pattern. Retinal biometric data and iris biometric data are generated from the images. The retinal biometric data and the iris biometric data are then combined or linked to maintain the correlation between the two biometrics.

The present invention relates to the measurement of vital signs such as a respiratory rate or a heart rate. In particular, a system (1) for determining a vital sign of a subject (100), comprising an imaging unit (2) for obtaining video data of the subject, a marker (10, 20, 60, 61) directly or indirectly attached to a body of the subject, wherein the marker comprises a graphical pattern (11, 21), an image processing unit (3) for detecting said marker in said video data, and an analysis unit (4) adapted to extract a vital sign parameter related to the vital sign of the subject from said video data and to determine the vital sign from said vital sign parameter. Further aspects of the invention relate to a device and a method for determining a vital sign of a subject and a computer program for carrying out said method.

The invention discloses a comprehensive method of drilling, permeability increasing, repairing and gas-driven displacing of a drill hole underground a coal mine. The comprehensive method comprises the following four process steps of drilling a drill hole, increasing the permeability of a coal bed, repairing the drill hole and increasing permeability driven by gas. The comprehensive method can be used for realizing continuous drilling and remote operating and has the advantages of being simple in construction, smooth in slagging, and quick in drilling speed and the like; an operator is far away from a construction site during a construction process, so that the labor environment of workers is improved, dangerous accidents are reduced and prevented and the personal safety of operators can be effectively guaranteed. The coal bed can be subjected to the action of the following measures such as hydraulic cutting, fracturing and punching and the like, so that the permeability coefficient of the coal bed can be greatly and uniformly improved, and stress concentration caused by hydraulic operation can be explained by following a certain pattern; and drilling repair on the existing collapsed drill hole and water accumulation drill hole can be performed, so that the service life of drill holes is prolonged, and the effective extraction quality of the drill holes is improved; and meanwhile, on the basis of increasing the permeability and repairing of the drill hole, if the later-stage extraction effect is not obvious, a gas driving process can be adopted to improve mashgas extraction efficiency.

The invention provides a method for segmenting a white blood cell image, which is characterized by comprising the following steps: firstly carrying out binaryzation on the green component picture of a color white blood cell image to obtain an initial interested region based on a significance attention mechanism of human vision; carrying out cancellation and mergence on a region by labeling the initial interested region to obtain an adaptive significance window of each cell; and finally realizing segmentation of nucleuses and cytoplasm in each adaptive significance window by a boundary-extending method. The segmentation method is used to realize the fast segmentation of the white blood cells, particularly the accurate segmentation for high-capacity pictures which are the non-standard dyed and contain overlapped cells.

The invention provides a method for tracing pollution sources in emergency events. The method is characterized by comprising steps of 1, constructing source-quality response scene databases, to be more specific, creating fixed and mobile pollution source databases in certain ranges of river basins and hydrological scene databases of river basins where projects are located, simulating pollution statues of the project river basins due to pollutants of each pollution source under the conditions of different hydrological scenes and different emission amounts and creating the source-quality response scene databases in project regions; 2, carrying out source tracing analysis and computation, to be more specific, investigating and screening the pollution sources in the source-quality response scene databases according to feature information of the pollutants and hydrological regime information, finding out possible pollution sources which meet requirements of screening targets, constructing target libraries, analyzing pollution procedure fitting degrees of the target libraries, sorting the target libraries according to the fitting degrees, determining risk sources which possibly cause the emergency pollution accidents, and further conforming the risk sources by means of verification. The method has the advantage that the locations and the pollutant emission amounts of the pollution sources can be quickly determined by the aid of the method.

The invention introduces a calibration method for a multi-robot system base coordinate system possessing a cooperation relation. The basic thinking of the method is acquiring position information required by a calibrating equation through constructing 4 groups of handshaking motions of specific forms between two cooperative robots and relation position relations among the base coordinate systems of cooperative robots are calculated with the aid of the calibrate equation in a specific form. According to the method provided in the invention, other than a calibrating pointer introduced in the invention, it is possible to rapidly and accurately calibrate the relative positions of the base coordinate systems of cooperative robots without adding any sensor or measuring equipment. The invention provides a technology base for realizing a more advanced robot controller having a multi-robot cooperation function.

A nasal cannula for monitoring symptoms of sleep apnea and hypopnea, including an elongated main body having a main body chamber and first and second nares to be received within first and second nasal passages of a patient's nose and at least one mouthpiece extending to a patient's mouth. The main body chamber communicates with first and second cannula inlet/outlets and each nare and the mouthpiece includes a gas flow passage extending from the nostril or mouth to the main body chamber. At least one nasal gas flow sensor is located in an gas flow passage of at least one of the nares and at least one oral gas flow sensor located in the mouthpiece gas flow passage, preferably in the regions of the gas flow passages adjacent the main body chamber.

Medical apparatus for diagnosing of a diseased condition of the skin of a subject. The apparatus comprises an electrically conducting probe including a plurality of electrodes, each electrode comprising a plurality of micro-needles, wherein each electrode comprises a base substrate, said micro-needles being integrally formed with said substrate and arranged in a laterally spaced relationship apart from each other and having a length being sufficient to penetrate the stratum corneum, said micro-needles being arranged with an at least partially oblique shape. Furthermore, the present invention relates to an electrode for use in the device, arrays of micro-needle and method for the diagnostics of biological conditions using impedance measurements. The diagnostics is in particular related to cancer, and preferably skin cancer, wherein skin cancer is a basal cell carcinoma, a malignant melanoma, a squamous cell carcinoma, or precursors of such lesions.

Methods for creating and calibrating production and injection well models for a reservoir, are provided. An example of a method for creating and calibrating well models can include performing a comprehensive retrieval or gathering of required data components, feeding the gathered data into well performance software to thereby develop a model of the well, performing an initial calibration of the well model, performing a total system calibration on the well model, and performing a recalibration to fine tune the well model.

An EEMD neural network based real-time data abnormal value detection method is provided, and the problem that the existing real-time data abnormal value detection method does not consider the historical data abnormal value is taken into account. The method comprises: obtaining historical time series data, and sorting the historical data according to a chronological order; using a median method to carry out preliminary detection on the historical data; finely detecting the historical data by using an EEMD method, and replacing the detected abnormal value with a zero value; then using the curve fitting method to fill the zero value, that is, correcting the abnormal value, and obtaining historical data closer to the objective reality after carrying out abnormal value detection and correction; and finally, by learning the historical data, using the neural network method so that the to-be-reported real-time data can be more accurately predicted, comparing the predicted value with the real-time reported monitored value so that whether there is abnormality can be determined, and correcting the abnormality. The method can be used to detect the real-time data abnormal value in one-dimensional time series, and is applicable to a wide range of fields such as water resources, traffic, weather, thermal power generation and other real-time monitoring data abnormal value detection.

The invention discloses a mining car measurement monitoring system based on image processing, which comprises a track type sensor used for weighing a mining car, a camera which is arranged right above the track type sensor, and a primary controller which is in a communication connection with the camera; wherein the primary controller judges operating directions of the mining car according to mining car image data collected by the camera, calculates operating speed of the mining car, and carries out counting on the mining car. In the mining car measurement monitoring system based on the image processing, the primary controller judges the operating directions of the mining car through the mining car image data collected by the camera, calculates the operating speed of the mining car, and carries out the counting on the mining car; and the track type sensor weighs the mining car, thus, an accurate and overall monitoring on the reliability and the authenticity of the mining car measurement data is achieved.

The disclosed dead reckoning and positioning method combines satellite positioning data and comprises: receiving GPS signal, while detecting continually the vehicle angle and velocity; according to effective satellite number and horizontal error and the latitude and longitude variable error, deciding the reliability of GPS data flow for accurate positioning. This invention has well autonomy and precision, and will play important role in future satellite navigation technique and vehicle drive record technique.

A system and method for the verification and calibration of wind turbine sensor systems is provided. The system comprises an optical capture device provided on a wind turbine which is arranged to record the position of at least one light source provided at the wind turbine during operation of the wind turbine. The motion of the light source relative to the optical capture device can provide an indication of relative motion of a portion of the wind turbine during operation, which can then be used as an input to a calibration and/or a verification system for a sensor system of the wind turbine.

The invention provides a brand-new distribution room identification technology based on the characteristics of power lines, relating to the field of low-voltage power line carrier spread spectrum communication, in particular to a automatic reading control and energy source information publish system for low-voltage carrier electric energy meters. The technology provided by the invention is characterized in that since loads on power lines are remarkably different and change in real time, phase deviation can be caused on respective specific zero crossing points of any two power lines. In the technology, by depending on a zero-crossing time division communication manner of a Qingdao Topscomm spread spectrum carrier communication system, a carrier chip is used for tracking the phase deviation of each zero-crossing carrier signal, thus the distribution room of each zero crossing carrier signal is judged. The carrier chip is used for not only tracking all the zero-crossing carrier signals but also judging the distribution room of each zero crossing carrier signal per se, thus the accuracy is stable and reliable and no peripheral equipment is required to be added for a carrier electric energy meter.

The invention discloses an automatic screw-driving machine which comprises a machine body assembly, a material guide mechanism, a material conveying mechanism, a material grabbing mechanism, a material ejecting mechanism and a screw-driving mechanism. The material guiding mechanism is arranged on a main machine frame of the machine body assembly. The material conveying mechanism is arranged on an auxiliary machine frame on one side of the main machine frame. The material grabbing mechanism is arranged between the material conveying mechanism and the material guide mechanism and conveys guide pins to the material ejecting mechanism. The guide pins are conveyed to the position below PCBs through the material ejecting mechanism. The screw-driving mechanism is arranged above the material guiding mechanism and drives screws into the guide pins. The automatic screw-driving machine is suitable for a PCB automatic machining assembly line, the functions of automatically positioning blocking materials and adjusting the sizes of the conveyed PCBs are achieved through the material guide mechanism, the automatic material feeding or blocking movement is achieved through the material conveying mechanism, the automatic conveying movement of the guide pins is achieved through the material grabbing mechanism, the automatic material ejecting movement is achieved through the material ejecting mechanism, and nuts are automatically locked on the guide pins through the screw-driving mechanism.

The invention discloses a gear contact fatigue reliability analysis method. Firstly, the contact stress model of gear is established, the residual fatigue strength after a certain cycle is obtained onthe basis of a fatigue S-N curve, and then the function of gear contact fatigue failure is constructed. Then, according to the distribution characteristics of the random parameters, the Monte Carlo method is used to generate point set, the initial Kriging model is constructed by randomly selecting N points as the experimental design points, and then the sample points which are closest to the limit state surface or have the largest error are obtained by active learning strategy, and the sample points are added to the original experimental design points as the best sample points, and the Kriging model is updated until convergence. According to the convergent Kriging model, the approximate value of the function corresponding to all the sample points is obtained, and the failure probability is calculated by Monte Carlo method. Finally, an example is given to verify the feasibility of the proposed method. The gear contact fatigue reliability analysis method of the invention is more efficient and practical.

The invention discloses a power line characteristic-based brand-new area identification technology, and belongs to the field of low-voltage power line carrier communication and control. According to the technology, a carrier chip tracks all zero passage moments at which commands are received from different power areas for a long time in a zero passage time division communication mode of a low-voltage power line carrier communication system produced by Qingdao Ding Xin according to a phase deviation phenomenon of alternating current power on a low-voltage power line, compares a zero-passage moment of own connected alternating current power, and calculates offset between the zero passage moments; and the accumulated offset of commands transmitted by own power area within a day is minimum, so that the carrier chip can judge own power area. The whole technical scheme is implemented completely by carrier chip software without any carrier electric energy meter and any additional peripheral, so that the cost is correspondingly lowered, and the accuracy is stable and reliable.