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Embodiments of the invention provide a comprehensive, automated system and method for evaluating the performance of individuals or entities employed by an organization, particularly useful in peer-profiling physician performance in multi-facility environments. Embodiments of the invention can dynamically compose a virtual peer or group of peers and perform peer-profiling on each individual or group of individuals to be evaluated. For example, a composite physician may be generated from system-wide and / or state-wide healthcare data as a benchmark against which a particular physician is profiled according to industry-standard measurements. The composite physician would have equivalent or similar job function(s) as well as patient population. The composite physician enables a comprehensive “apple to apple” comparison with the particular physician, giving meaning to and facilitating the usefulness of performance evaluation results.

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.

The invention discloses a battery replacement system for power battery loaded on a vehicle. The system comprises a parallel mobile platform, a rotating platform, a track, a vertical lifting device and a battery tray. The parallel mobile platform is positioned on the track and moves along the track. The rotating platform is positioned on the parallel mobile platform. The battery tray is positioned on the rotating platform via the vertical lifting device. The battery tray is equipped with an electromagnetic suction device for drawing the battery box. The invention has the advantages of more convenient unloading of the battery box, more accurate positioning, and realizing the single loading and unloading of the battery box to be controlled within 3 minutes.

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.

A compact scanning apparatus has an infrared laser adapted to emit light. The light is delivered as a beam by an optical system to illuminate an interrogation area on the surface of an object being scanned to cause selective desorption of molecules of the contraband substance, which are present on the surface, without substantially damaging the surface. A collection system collects at least a portion of the desorbed molecules. At least a portion of the collected molecules is thermally decomposed to form NO2 and transferred to a reaction cell containing an aqueous, alkaline, luminol-containing solution. The NO2 reacts with the luminol to produce light by chemiluminescence. A light detector registers the presence of this light to carry out a rapid screening of the object for the possible presence of the contraband substance. The apparatus further includes a supplemental detector such as a GC / IMS detector that is activated in response to the detection of the chemiluminescent light. The supplemental detector provides confirmation of the detection of contraband substance and activates a signaling device to provide an audible or visible alarm. The rapid pre-screening permits the apparatus to identify suspicious items, while the supplemental detection system can be optimized for more intense, but time-consuming scrutiny of just the suspicious items. Both effective detection and high throughput are thereby achieved in an accurate, reliable manner.

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 remote sensing evaluation method of lake water reserves based on multispectral images. The remote sensing evaluation method includes: according to lake water body spectral response characteristics in different bands of multispectral remote sensing images, extracting water body indexes which reflect lake water surface distribution characteristics; according to the extracted water body indexes, obtaining lake water body boundaries, giving actually-measured lake water level information to the lake water body boundaries, and generating lake equal water level line data sets according to different periods of the lake water body boundaries; according to the lake equal water level line data sets, simulating lake underwater topography; and calculating the lake water reserves in different periods according to the simulated lake underwater topography and actually-measured water level data. According to the remote sensing evaluation method, the lake underwater topography is monitored through utilization of multispectral satellite remote sensing data, the utilized satellite remote sensing data substantially can be obtained for free, and the remote sensing data has the advantages of wide space coverage areas and rapid refreshing speed, so that compared with conventional field actual-measurement methods, the remote sensing evaluation method provided by the embodiment of the invention has the advantages of low monitoring cost, convenient refreshing, and possibility of wide-range popularization and application.

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.

The invention claims a response surface method for identifying the parameters of Burgers model for slope soil, comprising the following steps: determine the model parameters and the level thereof; determine the parameter combination and the test sequence of the numerical test; calculate the response equation; optimally identify the model parameters. Based on the combination of the laboratory test, the numerical simulation and the field monitoring, the response surface analysis method is adopted in the invention to determine the regression equation for the parameters of Burgers model and the slope surface displacement, and meanwhile the regression analysis is adopted to establish the optimal parameter combination.

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.

An improved encephalic puncture guiding method comprises the following steps of 1, puncture planning guidance, wherein 1.1, an encephalic scanning image sequence is loaded, a three-dimensional encephalic model is built, and meanwhile measurement angle correction data are loaded; 1.2, reference points are set, perpendicular reference planes are built in the three-dimensional model; 1.3, a target spot and an entry point are set, the length of a puncture path composed of the target spot and the entry point and the included angle between the puncture path and the reference planes are worked out; the final plan puncturing angle and depth are obtained by correcting the angle correction data; 2, puncture execution, wherein in the step 1.3, when an encephalic coordination system and a ground coordinate system are not consistent, the encephalic coordination system and the ground coordination system are registered by adopting the point registration method based on output data of a gyroscope, and the included angle between the reference planes and the puncture path obtained after registration is automatically worked out. The invention provides an improved encephalic puncture guiding device. The improved encephalic puncture guiding method and device are easy to implement and convenient to operate and facilitate clinical application.

The invention provides a method for reliability modeling and evaluation of a dynamic cascade coupling electromechanical system. The method is based on a physical background of a complex electromechanical system and is capable of carrying out research on reliability of the electromechanical system based on a dynamics response model, and an established reliability network model of the electromechanical system is capable of more accurately describing the characteristics of dynamic, cascading and coupling of the complex electromechanical system, so that reliability of the electromechanical system, which is obtained based on the network model, is more accurate and credible; meanwhile, by utilizing a method of combining dynamics analysis and uncertainty analysis, transfer of uncertain information from a bottom layer to a top layer of the network model is described, and the difficulties that an aerospace mechanism system has a response uncertainty character and system reliability information cannot be obtained through experiment measures due to large experimental expenses, long period, large technical difficulty and expensive product cost are solved.

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.

The invention discloses an overturning stopper adding and capping device for a linear plastic bottle filling sealing machine. The overturning stopper adding and capping device comprises a feeding mechanism provided with a feeding groove, a material dividing mechanism in butt joint with the feeding mechanism, a clamping mechanism in butt joint with the material dividing mechanism, and a positioning mechanism corresponding to the clamping mechanism. The material dividing mechanism comprises a separation baffle movably arranged at the end of the feeding groove and moving in a reciprocating mode relative to the feeding groove. The separation baffle is provided with a notch corresponding to the feeding groove. The clamping mechanism comprises an overturning arm and a mechanical arm arranged on the overturning arm and corresponding to the end of the feeding groove. The overturning stopper adding and capping device is simple and compact in structure, easy to maintain, accurate and reliable in stopper adding and capping, high in production efficiency, high in universality of packaging materials, more clean in packaging process and capable of meeting the requirement for the new-edition GMP of pharmacy, and a relative friction movement component which may generate fine particles is not arranged above an opening of a packaging bottle in the stopper adding and capping process.

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 sound wave face-washing brush. The sound wave face-washing brush comprises a high frequency swing motor, a control module, a wireless charging module, a brush head and a shell. The high frequency swing motor comprises an E-shaped electromagnet and an I-shaped swing assembly, wherein the E-shaped electromagnet comprises an E-shaped silicon steel sheet magnetic core and an inductance coil, and the I-shaped swing assembly comprises a fixing plastic piece, a metal elastic piece, guard iron and two permanent magnets arranged in the opposite directions. According to the sound wave face-washing brush, the swing assembly suitable for high frequency swing with the frequency higher than 500 Hz is manufactured through the I-shaped structure and the unique size of the metal piece, a near-resonance phenomenon is formed by matching a high frequency electromagnetic field generated by the electromagnet, and the phenomenon is utilized to drive the brush head to clean the face.

The present invention allows a joint driving apparatus of a robot apparatus to measure joint driving torque with high accuracy and perform joint torque control accurately and reliably using a simple, inexpensive, small, lightweight and sturdy configuration without being affected by cross-axis disturbance forces. A joint driving apparatus includes a housing unit fixed to a first link; a bearing mounted in the housing unit and adapted to rotatably support a second link; a driving unit housed in the housing unit and adapted to rotationally drive the second link; a supporting unit installed between the driving unit and the housing unit and adapted to support the driving unit on the housing unit; and a sensor adapted to detect torque generated on the supporting unit.

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 belongs to the technical field of metal casting equipment, and particularly relates to full automatic continuous casting production equipment and technology for low-pressure casting of aluminum and aluminum alloy. The equipment consists of a smelting furnace (1), a low-pressure heat preserving furnace (2), a wheel type multi-platform casting machine (3), an automatic part-taking mechanical arm (4), an automatic dedusting-spraying-cooling three-in-one mechanical arm (5), an automatic conveyor and liquid level pressuring device (6), a temperature control cabinet (7) and a control panel (8). By adopting a numerical control multi-station and timing-sequence-sharing continuous casting technology, the raw material is fed into the smelting furnace, and is automatically transported into the heat preserving furnace after being smelted, and molten aluminum is injected into metal molds on the wheel type multi-platform casting machine under the control of the liquid level pressuring device, so that a product can be formed. A plurality of molds and corresponding mold disassembly / assembly mechanisms are arranged on the wheel type multi-platform casting machine, and the working procedures such as the casting, the shape keeping, the mold disassembling, the part taking, the cleaning-spraying-cooling, the mold assembling and the like in the process of the low-pressure casting can be completed on different stations at different times when the wheel type multi-platform casting machine rotates, so that the continuous and quantitative automatic production of the aluminum alloy cast parts can be realized.

The invention discloses a prediction and assessment method for stability of surrounding rocks of a mining roadway. The prediction and assessment method comprises the following steps: inputting measured data of influence factors of surrounding rocks of the mining roadway into a computer; then, retrieving sample data to set up a prediction model of a single kernel function support vector machine; combining selected global kernel functions with local kernel functions to form mixed kernel functions to set up a prediction model of a mixed kernel function support vector machine; utilizing a particle swarm algorithm to optimize penalty factors, kernel parameters and single kernel function coefficients of the predication model to set up a prediction model of a particle swarm algorithm-mixed kernel function support vector machine for stability of surrounding rocks of the mining roadway; and calculating prediction precision and reliability of to-be-predicted samples and assessing the maturity of the model. The prediction and assessment method for stability of surrounding rocks of the mining roadway is easily adopted and scientific. The grade prediction result of stability of surrounding rocks of the mining roadway and the maturity assessment result of the model are accurate and reliable and are highly consistent to the reality.