585 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.

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.

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.

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.

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.

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.

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.

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.

A hybrid vehicle provided consumes deteriorated fuel efficiently and rapidly while reducing effects on the running performance to the minimum. The vehicle controller 5 has deterioration detecting means which detects or estimates a deterioration level of fuel used by the engine 1, state of charge detecting means which detects a state of charge SOC, and target value setting means which sets an internal charge target value TS for charge by the generator 2 in correspondence with the state of charge SOC. Target value setting means sets the target value TS to a normal value TS1 at the time of fuel non-deterioration when the deterioration level is lower than a predetermined value, and changes the target value TS to a deterioration time value TS2 higher than the normal value TS1 at the time of fuel deterioration when the deterioration level is the predetermined value or higher.