589 results about "Normal values" patented technology

An image forming apparatus is capable of specifying the type of an occurring abnormality to a certain extent while avoiding the increasingly complicated control that is caused when a plurality of abnormalities is detected individually according to the presence of their respective causes. A normal group data set, which is a collection of normal value combinations relating to grouped information constituted by a plurality of information of differing types, is stored in RAM or ROM serving as information storage means of a control unit. At least two or more sets of grouped information, comprising first grouped information constituted by a plurality of different types of information, and second grouped information constituted by a plurality of information in a different combination to that of the first grouped information, are obtained from the RAM, the ROM, various sensors, and an operation display unit. A CPU serving as determining means determines a Mahalanobis distance for each set of grouped information on the basis of the normal group data set and the obtained results of each set of grouped information, and uses this Mahalanobis distance to determine the presence of an abnormality according to categories.

Programmatic root cause analysis of application performance problems is provided in accordance with various embodiments. Transactions having multiple components can be monitored to determine if they are exceeding a threshold for their execution time. Monitoring the transactions can include instrumenting one or more applications to gather component level information. For transactions exceeding a threshold, the data collected for the individual components can be analyzed to automatically diagnose the potential cause of the performance problem. Time-series analytical techniques are employed to determine normal values for transaction and component execution times. The values can be dynamic or static. Deviations from these normal values can be detected and reported as a possible cause. Other filters in addition to or in place of execution times for transactions and components can also be used.

A capacitance detection apparatus includes a detection electrode for detecting approach of an object on the basis of a change of capacitance, a calculating circuit for calculating a value associated with the capacitance change, a judging circuit for judging whether the calculated value is a normal or initial value calculated after or before a predetermined period of time lapse from a start time of the capacitance detection apparatus, an initial reference value-determining circuit for determining an initial reference value, a difference calculating circuit for calculating a difference between the normal value and a value calculated earlier than a time when the normal value is calculated by the predetermined period of time or longer or between the initial value and the initial reference value, and a determining circuit for determining whether the object is approaching by comparing the difference with a predetermined threshold value.

An abnormality determining apparatus is capable of avoiding mistaken determinations due to the normal value of information obtained by an information obtaining unit differing according to the content of specific information such as the operating mode setting, and deterioration of the determination precision due to a change in the user of a detection subject. The abnormality determining apparatus comprises an information storage unit for storing normal index information serving as an index of a normal state of the detection subject, an information obtaining unit for obtaining a plurality of types of information, and an abnormality determining unit for determining the presence of an abnormality in the detection subject on the basis of the normal index information stored in the information storage unit, and the information obtained by the information obtaining unit. The information storage unit stores a plurality of normal index information having different values. The abnormality determining unit selects, at a predetermined timing, normal index information to be used to determine the presence of an abnormality in the detection subject from the plurality of normal index information.

A semiconductor device and a method of forming thereof has a base body has a field stopping layer, a drift layer, a current spreading layer, a body region, and a source contact region layered in the order on a substrate. A trench that reaches the field stopping layer or the substrate is provided. A gate electrode is provided in the upper half section in the trench. In a section deeper than the position of the gate electrode in the trench, an insulator is buried that has a normal value of insulation breakdown electric field strength equal to or greater than the value of the insulation breakdown electric field strength of the semiconductor material of the base body. This inhibits short circuit between a gate and a drain due to insulation breakdown of an insulator film at the bottom of the trench to realize a high breakdown voltage in a semiconductor device using a semiconductor material such as SiC.

The invention discloses an electronic commerce time sequence data anomaly detection method and a system. The method comprises steps: electronic commerce data based on a time sequence are acquired; an Nth phase electronic commerce data adjacent to to-be-detetced data are selected as window statistical data, quantile statistics is carried out on the window statistical data, a normal value upper boundary and a normal value lower boundary in the window statistical data are thus determined, and data out of a normal value range determined by the normal value upper boundary and the normal value lower boundary in the window statistical data are abnormal data; and the abnormal data serve as an application interface for being called by a demand side. Through benchmark detection, time sequence fluctuation identification based on a robust statistics method is realized, and the method and the system of the invention are applied to various distribution conditions. According to different electronic commerce service scenes and different data distribution forms, data anomaly can be automatically found out.

The invention discloses a dynamic confirming method for performance index value normal fluctuating range, comprising following steps: obtaining a historical value of the network performance index, and dynamically obtaining the latest historical sample data; processing pre-treatment to obtain a normal sample data; processing phase space re-construction to obtain a training sample data; processing training modeling to take residual error white noise as condition of selecting the optimal supporting vector machine model; using the optimal supporting vector machine model to predict the data on the to-be predicted time point, and calculating the confidence interval of the predicted value to obtain the performance index value normal fluctuating range; detecting whether the optimal supporting vector machine model is suitable for the next prediction of the to-be predicted time point; if the model is not suitable, processing re-training. The invention also discloses a device for the dynamic confirmation performance index value normal fluctuating range. The invention significantly enhances the precision of the performance dynamic early warning, and reduces wrong report and missing report of the performance warning.

An image forming apparatus is capable of specifying the type of an occurring abnormality to a certain extent while avoiding the increasingly complicated control that is cause when a plurality of abnormalities is detected individually according to the presence of their respective causes. A normal group data set, which is a collection of normal value combination relating to grouped information constituted by a plurality of information of differing types, is stored in RAM or ROM serving as information storage device of a control unit. At least two or more sets of grouped information, including first grouped information constituted by a plurality of different types of information, and second grouped information constituted by a plurality of information in a different combination to that of the first grouped information, are obtained from the RAM, the ROM, various sensors, and an operation display unit.

Provided is a method for detection of a preselected condition such as subclinical stress or pain in a subject animal using heart rate variability. The method comprises the steps of determining a heart rate and / or inter-beat interval for the subject animal over a preselected period of time to determine the subject animal's heart rate data. The method further comprises analyzing the heart rate or inter-beat data from the subject animal to identify a set of heart rate variability data for the subject animal for a selected heart rate variability parameter such as a frequency domain or time domain parameter such as LF / HF ratio. The heart rate variability data from the selected animal can be compared to substantially normal values established for the selected animal species or compared to the subject animal's own previously identified substantially normal values or HRV pattern over a period of time and thereby determine whether the preselected condition exists.

A method and computer program collects patients' medical information and presents the information to a user via an interactive user interface (400) that includes a plurality of information tabs. Each tab presents information about a particular patient from a certain phase of the patient's visit to a healthcare providing facility. The information tabes include diagnoses (402), heart lab (404), radiology (406), pre-operative (408), operative (410), post-operative (412), reports (414), discharge (416), and follow up (418). The post-operative tab presents laboratory test results in the form of a table (514) and a chart (516), wherein the chart includes laboratory test results graphed over time and corresponding event and normal value indicators.

We have found a consistent pattern of hormonal abnormalities in patients with ERECTILE DYSFUNCTION. Our study group included men from age 21 to 88 years old. By helping to correct the hormonal imbalance of progesterone and testosterone towards normal values, most of the men in our study were able to obtain normal erectile function. By using a progesterone / testosterone cream we were able to help correct the hormonal imbalance commonly found in men with ERECTILE DYSFUNCTION.

An image forming apparatus is capable of specifying the type of an occurring abnormality to a certain extent while avoiding the increasingly complicated control that is caused when a plurality of abnormalities is detected individually according to the presence of their respective causes. A normal group data set, which is a collection of normal value combinations relating to grouped information constituted by a plurality of information of differing types, is stored in RAM or ROM serving as information storage device of a control unit. At least two or more sets of grouped information, including first grouped information constituted by a plurality of different types of information, and second grouped information constituted by a plurality of information in a different combination to that of the first grouped information, are obtained from the RAM, the ROM, various sensors, and an operation display unit.

A vertex accumulation buffer for improved three-dimensional graphical processing is disclosed. The accumulation buffer may include two individual buffers (buffers A and B) that each comprise a plurality of individual storage locations that are each configured to store vertex parameter values such as XYZ values, normal values, color information, and alpha information. The individual buffers serve to double buffer the vertex parameter values stored in the accumulation buffer. The storage locations may be written to on an individual basis without overwriting the other storage locations in the buffer.

Model-based stereo matching from a stereo pair of images of a given object, such as a human face, may result in a high quality depth map. Integrated modeling may combine coarse stereo matching of an object with details from a known 3D model of a different object to create a smooth, high quality depth map that captures the characteristics of the object. A semi-automated process may align the features of the object and the 3D model. A fusion technique may employ a stereo matching confidence measure to assist in combining the stereo results and the roughly aligned 3D model. A normal map and a light direction may be computed. In one embodiment, the normal values and light direction may be used to iteratively perform the fusion technique. A shape-from-shading technique may be employed to refine the normals implied by the fusion output depth map and to bring out fine details. The normals may be used to re-light the object from different light positions.

The invention relates to a fault recognition and processing method based on a satellite-bone bus. The method of the invention comprises the following steps: firstly, determining the fault type of a satellite, telemetry parameters related to various fault types and a range of normal values of the parameters; then setting the maximum times that the telemetry parameters related to the various fault types exceed the range of the normal values, and storing security instruction groups for removing faults corresponding to the various fault types in an instruction library; collecting the telemetry parameters of each device of the satellite by the satellite-bone bus at a set time, and when the telemetry parameters related to a fault type are abnormal and the abnormal times exceed the set maximum times, judging and entering the fault type; obtaining the corresponding security instruction group from the instruction library, and judging whether the security instruction group is executed; if the security instruction group is executed, clearing the corresponding abnormal count values of the telemetry parameters until the execution of the security instruction group is finished; and if the security instruction group is not executed, sequentially executing every security instruction in the security instruction group until the execution of the security instruction group is finished. The invention has the characteristics of good real-time performance and strong versatility.

A method generates a detail directed hierarchical representation of orientations of a surface of a graphics model. The surface of the graphics model is partitioned into surface cells, each surface cell enclosing a portion of the surface. The surface cells are stored in a hierarchical data structure having levels, wherein the number of levels for a particular portion of the surface is determined by surface detail of the particular portion. A visibility element of the enclosed portion of the surface is determined for each surface cell, the visibility element specifying an axis and a spread defining a range of normal values of the enclosed portion of the surface. The visibility element is stored with the associated surface cell. The surface detail of the particular portion can be determined by a degree of curvature and shading parameters of the surface of the particular portion.

The invention discloses a method for generating a template and detecting a premature beat, and a device. The method comprises the following steps: sequentially and respectively putting M waveforms for measuring a heart beating in N templates relative to the waveforms by sequentially performing a relativity comparison between the waveforms for measuring the heart beating and the N templates, wherein N is less than M; and taking the template which obtains most heart beating times from the first template to the N template as a normal template. The method for detecting the premature beat comprises the following steps: pretreating an inputted electrocardiogram signal to obtain a pretreated signal; extracting the feather parameters of the heart beating for measuring from the pretreated signal, wherein the feather parameters include the width of a QRS wave, an existing RR interphase and a related average RR interphase; obtaining the waveform of the heart beating for measuring from the pretreated signal, and calculating the association coefficient between the waveform of the heart beating for measuring and the waveform of the template; and according to judging conditions that whether the association coefficient between the waveform for measuring the heart beating and the waveform of the template is less than a set threshold and whether the feather parameters are deviated from normal values, judging whether a ventricular premature beat exists.

A method and system for detecting and treating abnormal cardiac function. The patient's cardiac activity is substantially continuously monitored via a portable wearable device having electrodes and a microcontroller. Features in the monitored cardiac activity indicative of abnormal cardiac function are automatically detected. In response to the detection of an abnormal detected cardiac function, at least one person is automatically alerted of the detected abnormal cardiac function of the patient, and medication may be automatically caused to be administered to the patient. The portable wearable device preferably includes a plurality of electrodes and a microcontroller in communication with the electrodes, adapted to receive sensed cardiac activity signals and create digital signals enabling identification of at least one cardiac parameter. A remote computer server is in communication with the portable wearable device and compares values of the identified cardiac parameter with a range of normal values for the cardiac parameter.

The invention discloses an open-loop control method and an open-loop control system of a permanent magnet synchronous motor based on space vector pulse width modulation (SVPWM). To each given stator power frequency, the amplitude of stator voltage corresponding to the given stator power frequency is found through searching a two-dimensional vector table of the stator voltage and the stator power frequency, wherein the two-dimensional vector table is set according to a sectional voltage / frequency ratio curve in advance, that is to say, the ratio of the stator voltage and the stator power frequency in the two-dimensional vector table disclosed by the invention is not a normal value; and the ratio is different in different interval sections. In the prior art, as the voltage / frequency ratio is a normal value, when a load changes, a motor is out of step easily so as to cause overcurrent to the system. In the method disclosed by the invention, the sectional voltage / frequency ratio can guarantee the motor to adapt to the change of the load, reduce the consumption of the motor and improve the efficiency. In a constant power area, phase compensation is introduced, so that weak magnetic control is realized by using the regulated phase, and weak magnetic speed improvement is realized.

There is provided a method of determining a fall risk of a user, the method comprising collecting measurements of the motion of the user, estimating a value for a parameter related to the gait of the user from the measurements, and determining a fall risk for the user from a comparison of the estimated value with a normal value for the parameter determined from motion of the user in which the user is at their normal risk of falling.

The invention provides a central diagnostic method of a medical institution. The medical institution comprises a server and multiple patient clients connected through a network; and the central diagnostic method comprises the following steps of: uploading physiological parameters of a patient to the server through a patient's condition uploading module of one patient client; analyzing the physiological parameters of the patient, and judging whether the physiological parameters are within a normal value range through a data analysis module of the server; diagnosing the patient's condition based on the abnormal physiological parameters and causes, and providing advices on drug use and next diagnosis through a patient's condition diagnosis module of the server; and returning the patient's condition diagnosis and the advices on the drug use and the next diagnosis provided by the patient's condition diagnosis module to the patient client through a feedback module of the server. By utilizing the information technology, the massive data and the complete disease diagnosis methods, the central diagnostic method of the medical institution can radiate excellent medical resources in cities to the remote regions which are lack of medical resources, thereby bringing about benefits to masses.

A method is for calibration of perfusion parameter images. The image data from tomographic imaging measurements are analyzed using a perfusion model, and perfusion parameter values obtained from the analysis are calibrated with a calibration factor to a physiological normal value. To perform the calibration, an image area which contains several different tissue compositions, and in which approximately normal perfusion conditions can be assumed, is selected from the obtained perfusion parameter image. A frequency analysis of the perfusion parameter values contained in this image area is then performed, and at least one frequency interval is selected which corresponds at least approximately to a frequency interval of the occurrence of perfusion parameter values of a known tissue composition. A mean value is calculated from the perfusion parameter values in the frequency interval, and a comparison with the physiological normal value for this tissue composition is made in order to determine the calibration factor or a calibration value included in the calibration factor. The method permits automatic or substantially automatic calibration of perfusion parameter images.

Model-based stereo matching from a stereo pair of images of a given object, such as a human face, may result in a high quality depth map. Integrated modeling may combine coarse stereo matching of an object with details from a known 3D model of a different object to create a smooth, high quality depth map that captures the characteristics of the object. A semi-automated process may align the features of the object and the 3D model. A fusion technique may employ a stereo matching confidence measure to assist in combining the stereo results and the roughly aligned 3D model. A normal map and a light direction may be computed. In one embodiment, the normal values and light direction may be used to iteratively perform the fusion technique. A shape-from-shading technique may be employed to refine the normals implied by the fusion output depth map and to bring out fine details. The normals may be used to re-light the object from different light positions.

The invention relates to a dynamic threshold analysis method for an operation index of an IT (Information Technology) system. The method comprises the following steps of: 1, inquiring historical change conditions of the operation index; 2, calculating a normal value interval R of the index under the current time granularity on the basis of a normal distribution principle, wherein the upper limit of the normal value interval is marked as an RU, and the lower limit of the normal value interval is marked as an RD; 3, connecting the RUs of all time granularities to be used as a dynamic threshold upper base line, and connecting the RDs to be used as a dynamic threshold lower base line; and 4, judging newly collected operation indexes under the current time granularity, wherein if the newly collected operation index is greater than the RU, the condition is the too-high-value abnormity, and if the newly collected operation index is lower than the RD, the condition is the too-low-value abnormity. The dynamic threshold analysis method has the beneficial effects that defects of a static threshold are overcome; and the historical operation rule of the operation index is intelligently studied, the normal value range of the operation index in different time points is calculated, and the dynamic threshold base lines are generated to be used for the monitoring and the analysis of the operation index. The dynamic threshold analysis method has the beneficial effects that mass manual operation is not needed; the calculation quantity is small; and the analysis is accurate, so that the operation and maintenance labor cost can be greatly reduced, and the monitoring coverage range and the accuracy are improved.

The invention discloses a water quality safety online biological early warning and monitoring system based on video identification. The water quality safety online biological early warning and monitoring system comprises a monitoring vessel, an image collection module, an image data pretreatment module, a background extraction and target detection module, a motion tracing module, a control module and a GSM (Global System for Mobile Communication) remote early warning module. With the adoption of the water quality safety online biological early warning and monitoring system, raw water and fish fry to be detected are introduced into the monitoring vessel, images of the fish fry are collected by the image collection module in real time and are sequentially transferred to the image data pretreatment module, the background extraction and target detection module and the motion tracing module to obtain a motion track of the fish fry; motion parameters are obtained by the control module according to the motion track of the fish fry, an increasing amplitude is obtained by comparing the motion parameters with normal values, and warning is carried out when the increasing amplitude exceeds an increasing amplitude set by a user. According to the water quality safety online biological early warning and monitoring system disclosed by the invention, a water pollution biological testing method is adopted to detect the raw water, i.e. the water quality pollution conditions are tested by utilizing the variation of physiological functions of aquatic organisms due to poisoning by pollutants.

The invention discloses a data quality monitoring method and apparatus, and a big data computing platform. According to the data quality monitoring apparatus, historical data related to a parameter needed to be monitored is collected, and a prediction model of the parameter is built by taking the historical data as a sample; according to the prediction model, current data of the parameter is predicted, and according to a prediction result, a monitoring threshold of the parameter is determined; and the current data of the parameter is collected and compared with a normal value range defined bythe monitoring threshold, and according to a comparison result, alarm processing is performed. Intelligent setting of the monitoring threshold is realized. Compared with manual threshold setting, theaccuracy is higher and the false alarm rate is reduced. Based on a prediction analysis method, the invention furthermore provides a big data computing service-based user data quality monitoring methodand a corresponding big data computing platform.

A circuit for audio amplification includes an amplifier and a first input resistor. The amplifier is arranged to provide an amplifier output signal that is based, in part, on a capacitively-coupled audio input signal. The capacitively-coupled audio input signal is based, in part, on an input RC value. The input RC value is given by the input capacitance times the input resistance. The input resistance is reduced during the turn-on in order to achieve a fast turn-on time with minimal pop-and-click noise. Also, the input resistance is increased to its normal value after the turn-on so that full audio fidelity is substantially maintained during normal operation.

The invention provides an elevator car vibration anomaly early warning method based on a time series prediction model. The method comprises the steps of predicting elevator sensor data through the time series prediction model, and giving an early warning to whether a vibration anomaly occurs or not in advance according to whether a predicted value is within a normal value range or not.

The present invention belongs to a detection and analysis method, in particular to a detection and selection method for the quality and reliability of a high power semiconductor laser and an array laser. Firstly, a V-I curve and a P-I curve of the laser are measured; an electrical derivative curve IdV / dI-I and a light derivative curve dP / dI-I and d<2>P / dI<2>-I are obtained through computer processing. Then the threshold current Ith of the measured device is obtained from the light derivative curve d<2>P / dI<2>-I or the electrical derivative curve IdV / dI-I. So the parameters of b, m, Rs1, Rs2 and h are obtained. A light characteristic when the laser is lased is given from a peak height H, a peak width W and a peak height-width ratio O at the threshold of the second order light derivative curve. Finally, the obtained parameters are compared with the normal value of parameters of the device same structure to judge the quality and reliability of the detected high power semiconductor laser or the array laser. The device filtration of the present invention is characterized by no-wear, high-speed and convenience, which is suitable for wide application.

A method of displaying a vehicle's information, includes measuring a set values of the vehicle, comparing the set of measured values with a set of related normal values of a vehicle of the same type as the vehicle being measured, and operating within a preset normal range, and displaying on a video image a graphical depiction of the measured set of values in comparison to the normal set of values of the same type of vehicle.