36 results about "Normal variation" patented technology

Ambulatory or in-hospital monitoring of patients is provided with early warning and prioritization, enabling proactive intervention and amelioration of both costs and risks of health care. Multivariate physiological parameters are estimated by empirical model to remove normal variation. Residuals are tested using a multivariate probability density function to provide a multivariate health index for prioritizing medical effort.

A control method and apparatus for regulating gas flow from landfill gas wells uses a differential pressure-regulating valve to maintain a set flow through a constant flow wellhead assembly. This wellhead assembly maintains a constant flow from the well despite normal variations in environmental factors affecting gas flow. The wellhead assembly includes a second valve that is used in series with the pressure-regulating valve to adjust the operating conditions of the regulating valve to keep it within its operating range. The pressure-regulating valve configuration allows a simple automatic control to position the valve. Periodic manual sampling of extracted gas and adjustment of the valve conditions is used to adjust for longer-term variations in well conditions.

A self-adjusting trim assembly used at the junction of a wall and ceiling where the wall finishes are to remain stationary while the ceiling is expected to flex due to loads on ceiling structure and normal variations in the height of the supporting structures due to temperature, moisture, creep or other factors effecting the height of the support structures. This trim assembly has two interlocking components comprised of a retainer clip having a vertical back portion (1a), a horizontal projecting tongue (1b) and the interlocking hook portion (1c) and also of a trim strip having a horizontal top portion (2a), a vertical face portion (2b) and an interlocking hook portion (2c) with the vertical face portion of the trim strip designed to cover the gap between stationary wall finishes and a flexing ceiling while trim strip remains flush with the ceiling structure, thus leaving no unsightly gap.

A method and apparatus for fault detection of series diodes in rectifiers is disclosed, wherein the voltages across one or both of the individual diodes, and/or the voltage across the pair of diodes are measured to determine a ratio between two of those voltages. The ratio is then analyzed to determine if a fault (e.g., a short circuit or an open circuit) is present. In some embodiments, circuitry can be included to compensate for the normal variations in diode characteristics (e.g., reverse leakage current, reverse recovery charge) between the pair of series diodes to minimize the potential for erroneous fault detection.

The embodiment of the invention discloses a method for optical power adjustment, which comprises the following steps: when an ONU receives downlink data, monitoring downlink receiving optical power or bit error rate; according to a normal variation range of downlink receiving optical power or bit error rate acquired in advance, judging whether the downlink receiving optical power or the bit error rate acquired by monitoring exceed the normal variation range; and when the downlink receiving optical power or the bit error rate exceed the normal variation range, adjusting uplink sending optical power through the ONU. The invention also discloses the ONU and a system for optical power adjustment. By using the embodiment of the invention, the ONU autonomously realizes optical power adjustment, so the variation range of the receiving optical power of an OLT is small, and the quality of communication in an uplink direction is improved.

The invention discloses a health guidance information generation method which mainly comprises the following steps: obtaining body state parameters and body state parameter change factors of group users within a period of time; judging whether the body state parameters of any individual user in the group users are within a normal variation range; if the body state parameters of the individual user surpass the normal variation range, searching the body state parameter change factors of one or a plurality of users, of which the body state parameter out-of-tolerance condition is the same or similar to that of the individual user, but the final body state parameters return to the normal variation range from a user information base, and carrying out pushing on the individual user; and after the follow-up integration, pushing the health guidance information to other individual users having the body state parameter out-of-tolerance directly. The invention also discloses a health guidance information generation device. The beneficial effect is that customized and highly-effective health guidance is realized.

The invention discloses a flying capacitor charging device and a flying capacitor three-level chopper circuit. The flying capacitor charging device comprises a second charging module connected to theflying capacitor three-level chopper circuit, and a control module connected with the flying capacitor for detecting the voltage value of the flying capacitor, when the detected voltage value of the flying capacitor is smaller than a first preset value, the second charging module is controlled to charge the flying capacitor, and when the detected voltage value of the flying capacitor is greater than a second preset value, the second charging module is controlled to stop charging the flying capacitor. The flying capacitor in the flying capacitor three-level chopper circuit in a standby state ischarged through the flying capacitor charging device, the voltage of the flying capacitor is maintained within a normal variation range, that is, near half intermediate DC voltage, the voltage withstood by switching transistors and diodes in a first switch, a second switch, a third switch and a fourth switch is further ensured to be in a safe range, and the advantages of the flying capacitor three-level chopper circuit can be fully utilized.

A face detector includes a detection processor for detecting a facial image from a frame of a motion picture according to template matching by use of a parameter, or a window size and window shift of a window. A parameter controller assigns the detection processor with a predetermined normal variation range of the parameter, to carry out face detection of a first frame of the motion picture according to the normal variation range, determines a limited variation range smaller than the normal variation range according to at least one of a value of the parameter used for the face detection of the first frame and the facial image of the first frame. The detection processor is assigned with the limited variation range, to carry out face detection of a succeeding frame after the first frame of the motion picture according to the limited variation range.

The invention discloses an inversion modeling for content of heavy metal Cd in soil on the basis of hyperspectral features of an indoor standard sample and a recognition method for a spectral response characteristic wave band thereof. The inversion modeling includes the steps of: 1) artificially designing standard soil samples with different Cd pollution contents, adding pollutants by means of a soil background sample in a laboratory to prepare Cd pollution standard samples, analyzing the physical and chemical properties of the Cd pollution standard samples so as to obtain indoor spectrum and data of heavy metal Cd content of the soil standard samples; 2) performing pretreatment of the spectral data by means of a spectrum re-sampling-standard normal variation (SNV)-first-order/second-order differential-background sample ratio in-series spectrum transform method, and meanwhile, acquiring the content of heavy metal Cd in soil through descriptive statistical analysis; and 3) finally establishing an inversion model of content of heavy metal Cd in soil through a partial least squares regression method, and on the basis of the model, extracting the spectral response characteristic wave band. The method solves the problems that soil sampling in the prior art is high in cost and low in efficiency and is difficult to satisfy inversion of content of heavy metal in soil quickly in large area and can accurately and high-effectively estimate the content of heavy metal Cd in soil.

An approach that allows for facilitating checkout related fraud investigation is presented. In one embodiment, there is described a generating tool configured to generate a set of benchmark parameters based on results of a cumulative learning process; a normalizing tool configured to normalize said set of benchmark parameters; an establishing tool configured to establish a confidence time interval required for identifying normal variations; a recording tool configured to record a particular checker's transactions during said confidence time interval, and an identifying tool configured to identify transactions, recorded during said confidence time interval, that fail meeting said set of benchmark parameters.

A singular spectrum analysis-based ionized layer anomaly detection method provided by the present invention comprises the steps of obtaining the historical ionized layer observation data ION; utilizing a singular spectrum analysis method to obtain an ionized layer normal variation component IONmain; calculating the normal background noise epsilon based on an ionized layer quiet period; according to the ionized layer normal variation component IONmain and the normal background noise epsilon, obtaining a normal variation range of the ionized layer observation data ION; when the actual ionized layer observation data exceeds the normal variation range of the ionized layer observation data ION, representing that an ionized layer is abnormal. According to the present invention, by the singular spectrum analysis, a periodic signal can be identified and reinforced, the extracted normal variation component contains the influences, such as the season change of the ionized layer along with the revolution of the earth, the 9-day, 13.5-day and 27-day periodic variation of the ionized layer caused by a sun 27-day rotation period, etc., so that the interferences caused by different external environments of the earth at a background field time period and the anomaly detection time period are removed from an anomaly detection result, and the ionized layer anomaly information can be detected effectively.

The identification of known normal structures within an image is preferably accomplished using an appearance model. Specifically, an active appearance model, which encapsulates a complete model of the shape and global texture variations of an object from a collection of samples, is utilized to define normal structures within an image by restricting training samples supplied to the active appearance model during a training phase to those that do not contain abnormal structures. Accordingly, the trained appearance model represents only normal variations in the object of interest. When another image with abnormalities is presented to the system, the appearance model cannot synthesize the abnormal structures which show up as errors in a residual image. Accordingly, the errors in the residual image represent potential abnormalities.

The invention discloses a gene data system for clinical diagnosis and prediction. The system comprises a source data processing module, a data warehouse and a data application module, wherein the source data processing module is used for receiving original sequencing data, conducting sort processing on the original sequencing data according to a preset rule, and generating single nucleotide variation genome data and copy number variation genome data; the data warehouse is used for storing the single nucleotide variation genome data and the copy number variation genome data; the data application module is used for receiving control commands, acquiring related data from the data warehouse according to the control commands and disposing and outputting the related data; the system further builds the data architecture of normal variation and pathogenicity variation of the human gene, can conduct analysis and management on the data and provides reliable data support for clinical diagnosis and prediction.

The invention provides an underground pipe gallery spatial environment data collection method and system with a failure judgment function. The method comprises the steps of building a sensor failure judgment database; building an underground pipe gallery monitoring point event record database; receiving the environment data of each monitoring point fed back by a sensor module, calling event records of the corresponding monitoring point, and generating a second working range by combining with a normal variation amplitude of the sensor corresponding to the event and a first working range of the sensor; building a normal working database and an abnormal working database; providing a judgment module used for comparing a relation between a feedback result of the sensor and the second working range, and sending a collection result to the normal working database or the abnormal working database according to a judgment result. According to the method provided by the invention, influence factors of external environment and/or the external time to pipe gallery spatial environment data are introduced, and whether the collection result is within the normal working range is judged by comparison so as to judge whether the collection result is accurate, and whether the sensor is in a normal working state.

A positioning apparatus for positioning based on satellite signals from positioning satellites includes: correlation information generating means for generating correlation information which indicates correlation values between the satellite signals and correlation purpose signals stored in the positioning apparatus; correlation information evaluating means for determining whether or not variation in the correlation values falls within a predetermined normal variation range; multipath determining means for determining whether or not the satellite signals are affected by a multipath based on determination results of the correlation information evaluating means; multipath correcting information generating means for generating multipath correcting information to correct effects of the multipath based on determination results of the multipath determining means and the correlation information; and correlation value correcting means for correcting the correlation values based on the multipath correcting information.

The invention discloses a stamping monitoring device of a nut forming machine. The stamping monitoring device comprises a distance sensor, wherein a part of the distance sensor is arranged on a main sliding table, the other part of the distance sensor is arranged on a female die holder or a sliding rail, and the distance sensor is connected to an analysis control module. The main sliding table translates on the sliding rail so as to complete stamping steps. When equipment is operated without load, the main sliding table moves from a back starting point and returns after reaching a front stop point, the distance between the front stop point and the back starting point is a normal travel range within which the main sliding table can move, if an abnormity occurs, the position of the front stop point can exceed a normal variation range, and whether the stamping process is normally carried out is determined according to the standard. The measurement accuracy of the distance sensor is high, even small changes can be induced, and once the normal floating range is exceeded, the phenomenon is induced immediately, so that further large loss can be avoided.

The invention relates to a method for quantitative analysis of ternary adulterated pseudo-ginseng based on integrating sphere diffuse reflection UV-visible spectroscopy. The method comprises scanninga ternary adulterated pseudo-ginseng sample through an integrating sphere diffuse reflection UV-visible spectrophotometer, dividing a data set into a training set and a prediction set, inspecting pretreatment effects of centralization, scaling, maximum/minimum normalization, standardization, standard normal variation, multiplicative scatter correction, first-order derivation, second-order derivation, continuous wavelet transform and SG smoothing, selecting an optimal pretreatment method, processing a spectrum through the optimal pretreatment method, building a least squares model and forecasting an unknown sample. Through use of integrating sphere diffuse reflection, sample pretreatment is avoided and non-destructive direct measurement of the sample is realized. The UV-visible spectroscopydetection is fast. The spectrum is processed by stoichiometry and a model is built by stoichiometry so that prediction accuracy is high. The method is suitable for quantitative analysis of ternary adulterated pseudo-ginseng.

The invention relates to a method for improving accuracy of automatic monitoring of flue gas emission. The method comprises the steps of: setting a normal variation range of flue gas flow for each unit, when the flue gas flow exceeds the set range during an operation process of the unit, a system automatically sending an abnormal warning to an enterprise, an enterprise management personnel judgingthe warning after the abnormal warning is received, if the warning is true, the management personnel should immediately checking for a reason of the abnormal alarm and performing abnormal elimination, carrying out data repair after the elimination, and submitting to a regulatory agency for checking, if the regulatory agency passing the checking, the process over; if the regulatory agency does notpass the checking, he enterprise management personnel need to restart the process; if the abnormal warning is not true, the management personnel clicking ignore, and filling a ignore reason, and needto reset the smoke flow range and submit to the regulatory agency for judging; if the regulatory agency passing the checking, the process over; if the regulatory agency does not pass the checking, the enterprise needs to restart the flow. According to the method for improving the accuracy of the automatic monitoring of the flue gas emission the accuracy of flue gas flow can be effectively improved.