94 results about "Normalization algorithm" patented technology

The present invention relates to systems and methods for the optimized delivery of one or more advertisements from a group of advertisements. The method of the present invention comprises receiving a request for one or more advertisements and retrieving advertisements responsive to the request received. Click through data associated with the one or more advertisements is retrieved and is normalized using a normalization algorithm. The normalized click through data is used to assign weights to the one or more advertisements. Tracking codes are generated for the one or more advertisements to track user interactions with a given advertisement. Advertisements are distributed according to the one or more advertisements' associated weights with associated tracking codes in one or more formats to one or more locations through which advertising may be conducted.

The invention relates to an SOH (state-of-health) online estimation method of a battery pack. The SOH online estimation method comprises the following steps of: measuring temperature T, voltage V and current I of an electric automobile during actual operation to acquire the following function: SOC (state-of-charge)=f(T, V, I) by utilizing a normalization algorithm, establishing a database with one-to-one correspondence between the temperature T, the voltage V and the current I and the SOC, measuring the SOC of a monomer battery with lowest voltage in an online manner by utilizing the database, and further measuring the SOH of the battery pack. The SOH online estimation method disclosed by the invention has the beneficial effects that: 1) as the measured SOC is that of the monomer battery with the lowest voltage, which is a key factor for restricting the discharge capacity of the battery pack, a user can know the SOH of the batteries in a more visual manner, the remaining capacity of the batteries can be judged in a more accurate manner by combining with the SOC value, and the continue voyage course of the electric automobile can be estimated in a more accurate manner; and 2) if the problem is caused by attenuation of the battery capacity, the problem can be obviously seen through the SOH, and the efficiency of after-sale service is improved.

A method and system for determining whether arcing is present in an electrical circuit. The methods includes sensing a change in an alternating current in the circuit and developing a corresponding input signal, analyzing the input signal to determine the presence of broadband noise in a predetermined range of frequencies, and producing a corresponding output signal. The method further includes determining a type of load connected to the electrical circuit, based at least in part upon the input signal and the output signal, incrementing one or more of a plurality of counters in a predetermined fashion in accordance with the input signal and the output signal and determining whether an arcing fault is present based at least in part on the states of one or more of a plurality of counters. The method also includes decrementing one or more of the plurality of counters based upon a secondary analysis.

The invention provides an engine noise control method based on an FXLMS algorithm aiming at the problem of in-vehicle noise caused by an engine air inlet system, belonging to the field of noise control. The method comprises the following steps: S1, establishing a main control system model of engine intake noise by using an FXLMS algorithm, and constructing a reference signal x (k) of the main control system model by using the rotating speed of the engine; S2, establishing an off-line identification structure, identifying a secondary channel transfer function H2(z) in an active control system model, and providing an identification result to the active control system model; and S3, controlling the engine noise by using the identified active noise control system model. In addition, an improved variable step length algorithm is proposed. The algorithm adds the parameter gamma to the step length of the normalized algorithm and replaces beta in the sine variable step length to adjust the amplitude range of the step length. The algorithm not only has the advantages of fast convergence and small steady-state error of the sine variable step length algorithm, but also has the characteristicsthat the normalized algorithm is suitable for a time-varying reference signal, and the parameter is easy to select.

A method of processing seismic data so as to provide an image of a sub-surface region, comprises providing plurality of migrated shot gathers that contain information about the region, summing portions of the migrated shot gathers to provide a pilot stack, partitioning the plurality of gathers into a plurality of groups and summing the gathers in each group to provide a substack, wherein each group includes at least two migrated shots and wherein a substack is generated from each group, applying an amplitude normalization algorithm to the pilot stack so as to generate an amplitude-normalized pilot stack, calculating a weight function by comparing each substack to the normalized pilot stack, weighting each substack using the weight function so as to generate a plurality of weighted substacks, summing overlapping portions of the weighted substacks so as to generate a output stack, and using the output stack to generate an image.

The embodiment of the invention provides a method for controlling the attitude angle of a three-degree-of-freedom parallel mechanism based on kinematics normalization. The parallel mechanism comprisesthree sets of actuators, three sets of support rods and a movable platform. The control method comprises the steps of establishing a body coordinate system OB-XbYbZb at the center of a circle where ahinge point on the movable platform is located, and establishing a fixed reference coordinate system Op-XpYpZp on the earth, wherein when the parallel mechanism is located at a working initial position, the body coordinate system coincides with the reference coordinate system; describing the attitude of the movable platform by applying the generalized coordinates of the body coordinate system relative to the reference coordinate system, wherein the generalized coordinates comprise three euler angles, and the three euler angles are composed of a transverse rocking angle, a longitudinal rockingangle and a yaw angle; acquiring a rotation matrix of the body coordinate system relative to the reference coordinate system; according to the length of the actuators or the length of the support rods, and applying the kinematics normalization algorithm to obtain the attitude angle of the movable platform based on the relation between the rotation matrix and the kinematics.

The invention discloses an echinococcosis serum Raman spectrum diagnostic apparatus based on an optimal back-propagation neural network. A laser Raman spectrometer scans each sample twice and is usedfor acquiring serum samples of healthy people and echinococcosis patients, acquiring spectrum data corresponding to the samples, averaging the spectrum data to serve as Raman spectrum data of the samples and transmitting the data to a computer. The computer receives the Raman spectrum data, Raman fluorescent backgrounds in the Raman spectrum data are eliminated by an adaptive iteration penalized least-square method, and noise of the Raman spectrum data without the fluorescent backgrounds is removed by a self-normalization algorithm. The computer takes 3 front main components as new variable input space for constructing a sample matrix after dimension reduction of the Raman spectrum data without the fluorescent backgrounds and after noise removal by a partial least-square method, classification is performed by the back-propagation neural network, 74 samples are selected among 123 samples and used for a training set, and 49 samples are used for a testing set.

The invention provides a recognition method in allusion to facial images with different dimensions. The method comprises the following steps: 1, carrying out discrete cosin transformation (DCT) on facial images and obtaining the same DCT coefficient, forming a sample set by a to-be-recognized unknown facial image and a known facial image set for matching, carrying out DCT on each two-dimensional facial grayscale image in the sample set, and selecting 56*46 components from a low-frequency part of a two-dimension DCT coefficient matrix of the transformation result to retain; 2, carrying out principal component analysis (PCA) on the transformed sample set to ensure that the dimensionality of a facial image characteristic value matrix is reduced to 20; and 3, calculating the characteristic matching value between every two the facial images by utilizing a correlation coefficient normalization algorithm, and selecting the facial image with the maximum characteristic matching value as a known facial image matched with the unknown facial image. The method provided by the invention is capable of solving the influences, caused by the image dimension differences of the facial images with different dimensions in the recognition process, on the recognition result, thereby improving the recognition correctness.

The invention discloses a method and system for determining a partial discharge source position. The method comprises the following steps: outputting the different shift of pulse signals at the end of a cable line for many times through a high-voltage lead, calibrating each shift of detection waveform signal, acquiring the verification waveform signal of each shift of detection waveform signal; performing partial discharge source detection on the cable line by using a way of applying voltage step by step, positioning the partial discharge source by using a time-domain pulse method, and acquiring a partial discharge source detection waveform corresponding a signal when the partial discharge source is located at the terminal of the cable line; performing equivalent correction on the discharge quantity calculated by the verification waveform to the same discharge quantity level of the terminal partial discharge source detection waveform by using a waveform normalization algorithm; and comparing the corrected verification waveform with the terminal partial discharge source detection waveform to determine whether the partial discharge source is at the head or the end of the detection cable line.

The invention discloses a method and a device for detecting an object with anomaly in motion direction, which can obtain spatial derivatives and time derivatives, obtain characteristic patterns in the motion direction by fusing the two, further carry out normalization by taking the area of a motion region as comparison basis, merge the characteristic patterns in the motion direction in all the directions, and obtain a final saliency map in the motion direction. The device has simple structure and can significantly reduce the calculation quantity; the normalization algorithm relying on area comparison has better detection effect than the current normalization algorithm relying on extreme values, and is more in line with the definition of the anomaly in the motion direction; and the method and the device can lead the detection success rate for natural scenes and non-natural scenes to be higher than that of the prior art, and have the capability of sustainedly tracking the object with the anomaly in the motion direction. Obviously, the method and the device for detecting the object with the anomaly in the motion direction can reduce the calculation quantity, improve the reliability of the algorithm and improve the detection effect.

The invention discloses a method for evaluating an environmental technology based on a benchmarking method. Specifically, a three-dimensional index system is established; index benchmark values are extracted based on a technical database and an engineering case library constructed by literature research; technical single index evaluation is completed through a normalization algorithm and a hierarchical assignment method. Determining the weight of each index in combination with an entropy weight method and a subjective weighting method, calculating a comprehensive evaluation result of a singletechnology in each dimension through a weighting method, expressing the evaluation result in two forms of a single-dimensional radar map and a three-dimensional point position map, and objectively andcomprehensively evaluating the environmental technology; the method provided by the invention is a systematic and objective technology comprehensive evaluation method, and the method not only can realize dynamic evaluation of the technology, but also has strong operability.

The invention relates to a self-adaptive detection method for synchronism of a lamplight/motor and sound. The self-adaptive detection method comprises the following steps: detecting a phonetic acoustic signal by an ADC (analog to digital converter) controlled by AGC (automatic gain control); outputting a narrow dynamic range phonetic signal with AGC information; restoring the narrow dynamic range phonetic signal with the AGC information into a wide dynamic range phonetic signal by an energy normalization algorithm; carrying out phonetic real-time energy calculation and threshold calculation by the restored phonetic signal; and through comparison of the real-time energy and the threshold, calculating a motor starting and stopping state or a lamplight turning on and off state corresponding to the current phonetic frame. Through the introduction of the AGC information, high dynamic range obtained on the ADC with low sampling depth is detected by the motor opening and closing state or the lamplight turning on and off state information; and with the adoption of the ADC with 12 bit low sampling depth, the motor opening and closing state or lamplight turn on and off state when users speak can be detected at the distance of 5-300cm, so that the overall cost of the system is greatly reduced.

The invention relates to a non-reference screen content image quality evaluation method based on multiple scales. The method comprises the following steps: S1, converting a distorted image from an RGBcolor space to an LMN color space, amplifying an L component by using a bicubic algorithm, and extracting edge features of the distorted image by using an imaginary part of a Gabor filter; s2, amplifying the grey-scale map of the distorted image by using a bicubic algorithm, and extracting the structural features of the distorted image by using a Scharr filter and a local binary pattern; s3, extracting brightness features of the distorted image by using a local normalization algorithm; s4, taking the obtained three features as training data, and training an image quality evaluation model by utilizing random forest regression; and S5, according to the steps S1-S3, obtaining edge features, structure features and brightness features of the to-be-detected image, and predicting the quality score of the to-be-detected image by using the trained image quality evaluation model. According to the invention, the reference-screen-free content image quality evaluation performance can be significantly improved.