93 results about "Absolute deviation" patented technology

A method of eliciting analgesia in a human subject by Transcranial Electrical Stimulation (TCES, herein “TES”) is provided. Electrodes secured to the skin of the subject's head at particular sites provide an electrical current that includes a direct current combined with rectangular AC current pulses delivered at a particular frequency of between 10 and 100 Hz. In an embodiment the total current transmitted, a sum of the DC component and a Mean Absolute Deviation (MAD) of the current pulses, has a value between 0.2 and 20 mA. The method is used to produce analgesia during perioperative period, surgery and the post-operative procedure. It can also be used for treating acute chronic pain and a wide variety of other conditions.

The invention relates to a sampling data exception detecting method and a relay protection method based on redundant CT windings, and belongs to the technical field of relay protection of electric power systems. Sampling data of two CT windings of a mutual inductor are used for mutual inspection, namely deviations of two paths of A/D (analog/digital) sampling data of the two windings are respectively compared, the sampling data at a certain sampling point are judged abnormal when both absolute deviation and relative deviation of the momentary value of the sampling point are larger than a set threshold, the sampling point is repaired by an interpolation algorithm when only the sampling point is abnormal, the A/D sampling data are judged abnormal when a plurality of continuous sampling points are abnormal, the sampling data are automatically switched to the second path of A/D sampling data when the first path of A/D sampling data is abnormal, latch-up protection is performed if the second path of A/D sampling data is also abnormal, accordingly, normal running of a protector is unaffected when only one path of A/D sampling data is abnormal, and reliability of the protector is improved.

The invention discloses a self-adapting motion compensation frame rate up-conversion method based on a motion classification mainly solving the problems of inaccurate motion compensation and over big motion complexity in the prior method and comprising: firstly dividing a video into a global motion sequence and a local motion sequence by a global motion estimating method based on an integral projection; obtaining a still background and an occlusion region by a motion detection to the local motion sequence through a high order statistical model; constructing a gray co-occurrence matrix with a pixel distance, quantizing a vein complexity by using two indexes of an angle second moment and an entropy; adding a Cross-Sectional Absolute Deviation (CSAD) criterion to a provided mixing motion estimation method, performing the motion estimation to a motion region of the global motion sequence and the local motion sequence according the vein complexity, avoiding the generation of a superposition and a pore zone during a motion compensation interpolation; finally performing the compensation interpolation to the motion region, and performing a time-domain average to the still region. The occlusion region is a copy of a current frame or former frame.

A method of determining a respiration rate from a signal representative of a recorded respiration episode comprises identifying two or more uncorrupted segments within the signal, the uncorrupted segments being separated by corrupted segments, identifying the longest of the uncorrupted segments or the segment with a lowest average absolute deviation (AAD) between respiration peaks or troughs, and determining a respiration rate from the longest uncorrupted segment or the segment with the lowest AAD.

Method and apparatus for measuring parameters in ferromagnetic steel structures, e.g. railway rails and drill pipes, to detect mechanical stress, damage and deterioration. On the monitored structure, devices for magnetization or demagnetization e.g. an electromagnet, will be installed. Two or more electrodes for feeding of a pulse shaped electrical voltage are installed. Across another pair of electrodes, a voltage response signal is measured, and compared with another response signal measured under known conditions or compared with calibration data for the structure. The deviation between these voltages is analyzed to quantify the relative or absolute deviations, and the condition of the steel structure is estimated. The device can measure the transient voltage curves with reference to one or more of the magnetization curves and includes algorithms for analyzing the voltage response curve for determination of mechanical stress and/or fatigue and/or cracks and/or metal loss in steel materials.

The invention discloses an MIMO (Multiple Input and Multiple Output) radar single measurement vector DOA (Direction of Arrival) estimation method based on iterative weighted near-end projection. The method comprises the following steps of: vectorizing a covariance matrix of received data after dimensionality reduction; constructing a weighting matrix by using high-order power of a covariance inverse matrix after dimensionality reduction so as to perform proper weight constraint on a sparse vector; establishing a weighted near-end function optimization model to represent a non-convex and non-smooth sparse optimization problem in MIMO radar single measurement vector DOA estimation; and finally, obtaining a near-end operator through an SCAD (Smoothly Clipped Absolute Deviation Penalty) function in an iteration process, and projecting the near-end operator to a feasible set to solve the weighted function optimization model so as to obtain a sparse solution, and obtaining a real target DOA estimation value by searching the position of a spectral peak. Compared with a reweighted l1-SVD algorithm and a weighted SL0 (Smoothed l0norm) algorithm, the method can obtain the better DOA estimation performance, and the prior information of the number of the targets is not needed to be known in advance.

The present invention relates to a method for monitoring combustion stability of an internal combustion engine equipped with a crankshaft, an intake manifold and at least one cylinder, including the following steps: determining the absolute deviation e of indicated mean effective pressure p_ind or indicated torque T_ind with respect to their actual set point, i.e., with respect to actual indicated mean effective pressure set point p_ind,setpt or actual indicated torque set point T_ind,setpt, namely Δp_ind or ΔT_ind, or alternatively determining the relative change Δe in said deviation between two consecutive combustion cycles k, k+1 of said at least one cylinder, i.e., determining (Δp_ind,k+1−p_ind,k) or (ΔT_ind,k+1−ΔT_ind,k) or determining the relative change Δe in angular acceleration ω′ of the crankshaft between two consecutive combustion cycles k, k+1, i.e., (Δω′_k+1−Δω′_k), and comparing said determinated deviation e or said change Δe with a predetermined engine operating point dependent threshold e_threshold or Δe_threshold in order to decide if the combustion is stable or not by means of the following inequalities: |e|>e_threshold or |Δe|>Δe_threshold means combustion is not stable, |e|≦e_threshold or |Δe|≦Δe_threshold means combustion is stable. The method is preferably applied to homogeneous charge combustion ignition engines (HCCI).

The invention relates to a sound emission detection method of a water boiling state and mainly solves the problem in the prior art that the change of the boiling state in one part of industrial heat-exchanging equipment cannot be accurately detected in real time. The method comprises the following steps of: (1) receiving a sound signal inside the heat-exchanging equipment; (2) selecting total energy, standard deviation, average absolute deviation and a main frequency of the sound signal as characteristic parameters; and (3) analyzing changing characteristics of the characteristic parameters and taking a k value as a criterion to detect the boiling state in the heat-exchanging equipment and conversion thereof online in real time. The method can be used for accurately and effectively obtaining the characteristic parameters of signals, can be used for easily and conveniently detecting the boiling state and the conversion of the heat-exchanging equipment on line in real time. The invention further discloses a detection device comprising a signal receiving device, a signal amplification device, a signal collection device, a signal processing device, an output displaying device and a control device. The device is in a non-invading type, is simple, easy and convenient to use, and has strong applicability to the different heat-exchanging equipment.

The invention relates to a selecting method of a keyframe for video quality evaluation, which includes: first describing motion intensity degree of each image block in each frame of video images in mean absolute deviation (MAD) method, then weighting the motion intensity degree of each image block by adopting weight factors based on human eye vision sense interest, calculating total motion intensity degree of each frame of images, and determining the keyframe according to a set judging condition. The selecting method overcomes the defects in the prior art, remarkably reduces calculating complexity of evaluating a video frame by frame, and can be applied to actual video quality evaluation. Human eye vision sense interest is further considered and used as the weighting factors to calculate the motion intensity degree of the images so that the selected keyframe can reflect actual video quality accurately and is in accordance with subjective appreciation experience. In addition, the selecting method is simple in operation steps, convenient and easy to integrate and has good popularization value in video quality evaluation application.

The invention discloses an environmental economic dispatching method considering polluted gas emission risk. The method comprises the steps of defining polluted gas emission risk evaluation indexes in environmental economic dispatching after considering the randomness of wind power output; building the polluted gas emission risk evaluation indexes according to the concept of semi-absolute deviation risk; building a multi-target random dynamic environmental economic dispatching model considering the polluted gas emission risk in daily dispatching cycle according to the multi-scene modeling theory. According to the method, the wind power output scene simulation and the scene reduction technology are combined; the built model is solved by the genetic algorithm that the embedded target is relatively dominant; therefore, the risk information of polluted gas emission in the environmental economic dispatching can be effectively evaluated, and the polluted gas emission risk can be effectively managed.

The invention provides a pipeline magnetic flux leakage testing on-line data compression method mainly used for compressing mass data in pipeline magnetic flux leakage on-line testing, and belongs to the field of signal processing. The method comprises the following steps that (1) detected magnetic flux leakage data are divided into data segments having the same number of bytes; (2) whether each data segment contains pipeline defect information is judged by means of average absolute deviation statistical magnitude, and only the data segments containing the defect information are stored; (3) if multiple data segments contain a large amount of redundant signal data, main content of the data segments is analyzed, and only the first little main content is stored; (4) integral promotion wavelet decomposition is conducted on each detecting signal of each data segment after two-stage compression, threshold processing is conducted on wavelet coefficients produced after decomposition, then adaptive coding is conducted on the processed wavelet coefficients, and finally only bit stream data after corresponding coding are stored. Therefore, the method can achieve high-efficiency compression of pipeline magnetic flux leakage testing on-line data.

The invention discloses a control method for the thickness of a hot-rolled head portion. The control method is applied to a finish rolling control system of a hot rolling production line, and comprises the following steps: obtaining rolling process parameters in a finish rolling two-level model, wherein the rolling process parameters comprises a deviation of a band steel outlet thickness, a roller clearance set value and the rigidity of a rolling mill; based on the rolling process parameters, determining an absolute deviation of a set value of finish rolling force and an actually measured value of the finish rolling force; when the absolute deviation is greater than a preset deviation, correcting the roller clearance set value, and obtaining a corrected roller clearance set value; and sending the corrected roller clearance set value to a pressing hydraulic system at the tail rack of the rolling mill to adjust a dynamic position of the pressing hydraulic system. The control method achieves the technical effects of improving the control precision of the thickness of the head portion of band steel and improving the plate shape quality of the head portion of the band steel at a finish rolling outlet. Meanwhile, the invention further discloses a control device for the thickness of the hot-rolled head portion.

The invention provides an electric power system operation risk assessment method based on scenario analysis. The method includes: using the Latin hypercube sampling method for scenario generation of equivalent load; performing scenario reduction based on Kantorovich distance; and calculating scenario analysis based electric power system operation risk assessment indexes. Scenario generation and scenario reduction are adopted simultaneously to represent wind power capacity and load uncertainty, decision making risk indexes are calculated by the aid of a semi-absolute deviation model in the investment combination theory, and the method has the advantages of more comprehensiveness and reasonableness.

The invention discloses a non-contact single step-counting method and system based on commercial Wi-Fi. The method comprises the following steps: making a repeating motion by a participant according to preset action requirements, and acquiring a CSI (Channel State Information) signal of the participant by virtue of the commercial Wi-Fi; defining that d(t) is the sum of mean absolute deviations ofall amplitude data in a time sliding window, solving a noise level in a time period t according to the d(t), and screening out a noise signal from the CSI signal; eliminating a static element of eachsubcarrier in the CSI signal by virtue of a Hanpur filter, and removing other noise by using a Savitsky-Gray filter; extracting a single signal from the CSI signal subjected to noise reduction by adopting a dimensionality reduction algorithm for factor analysis; performing time-frequency analysis, feature extraction and peak detection on the single signal, wherein the peak detection specifically refers to detection on four constraint conditions such as corrugation pitch, crest height, crest convexity and crest width. The system comprises a microprocessor, a WiFi transmitting end and a WiFi receiving end.

The invention belongs to the technical field of video coding, and in particular relates to an H.264/AVC (Advanced Video Coding) macroblock-level code rate control algorithm based on weight window models. By using spatial correlation of a window which is formed by macroblocks around a current macroblock, and time correlation of a window which is formed by a macroblock of on a previous frame, which is in same position as the current macroblock and macroblocks around the macroblock, a low-complexity prediction model of a mean absolute deviation (MAD) and a quantization parameter (QP) calculating model are provided. Based on the two models, the macroblock-level code rate control algorithm used for an H.264/AVC coder is provided. Shown by the experiments, the macroblock-level H.264/AVC code rate control algorithm based on the weight window models has higher peak signal to noise ratio (PSNR) and less bit deviation compared with a code rate control algorithm of H.264/AVC reference software.

The invention relates to an absolute calibration method for a satellite radar altimeter without a special calibration field and belongs to the technical field of calibration of satellite altimeters. According to the method, an absolute deviation of the satellite radar altimeter can be determined through processing tidal observation data and satellite altimetry data of a satisfactory oceanographic station, adding essential correction entries such as a geoid model, carrying out height datum unification, altimetry data space position interpolation and tidal observation data time interpolation, and finally, carrying out difference comparison on sea surface height of tidal observation and sea surface height of the satellite radar altimeter. Compared with the prior art, the method has the advantages that the special calibration field is not required, the existing oceanographic stations can have calibration capability by using existing business observation data of oceanographic stations of coasts or oceanic islands of our country and a regional accurate geoid, and thus, absolute measured deviations of the satellite altimeters at home and abroad can be acquired.

The invention discloses a method and device for detecting the deviation degree of a camera image plane in a vertical optical axis direction, wherein the method and device are convenient for detectionand high in precision. The method comprises the steps: A, coaxial debugging; B, light source irradiation; C, light and shadow collection and capturing; D, parallelism measurement and calculation. Thedetection method employs the geometric projection and central symmetry principle, achieves the absolute measurement of a deviation index of the camera image plane and the center of a lens interface under the condition that a tested camera is not connected with the lens, and gives a high-precision quantitative index; there is no need of a lens in the whole detection process, so that a measurement result error caused by the deviation of the lens is avoided; the obtained measurement result is the detection of the absolute deviation of the camera, and the precision of the obtained detection resultis high; the detection process is fast and convenient, and the detection efficiency and accuracy are greatly improved while a complex system detection method is simplified.

The invention relates to a genetic algorithm and novel similarity calculation strategy-based collaborative filtering recommendation algorithm. According to the algorithm, the individual score average value and variance of each user are sufficiently utilized in an object similarity calculation scheme, and are used in an object recommendation-based collaborative filtering algorithm. Moreover, a weighted value in a similarity calculation formula is automatically adjusted by utilizing a genetic algorithm, and a mean absolute deviation value in a modeling process of a recommendation algorithm is controlled through the genetic algorithm. Experimental contrasts and result analysis indicate that the genetic algorithm and novel similarity calculation strategy-based collaborative filtering recommendation algorithm disclosed by the invention has the advantage that the indexes such as recommendation correctness, recall rate and the like are significantly improved.

A method of operating a transmission device comprising friction-locking and form-locking shift elements for obtaining different gear ratios. A shift request for engaging a shift element undergoes a time delay dependent upon an operating state prior to a time of engagement of the shift element. A rotational speed differential between halves of the shift element lies within a rotational speed differential window required for the engagement procedure is assigned to the time of engagement. A gradient of the transmission input speed is ascertained at the time of the shift request, and the actual gradient is subsequently monitored and compared with the gradient that existed at the time of the shift request. If an absolute deviation greater than a threshold value is ascertained, the time delay is changed or an actuation of another shift element to be disengaged is varied such that the deviation is reduced below the threshold value.