169 results about "Objective assessment" patented technology

A source signal (e.g. a speech sample) is processed or transmitted by a speech coder 1 and converted into a reception signal (coded speech signal). The source and reception signals are separately subjected to preprocessing 2 and psychoacoustic modelling 3. This is followed by a distance calculation 4, which assesses the similarity of the signals. Lastly, an MOS calculation is carried out in order to obtain a result comparable with human evaluation. According to the invention, in order to assess the transmission quality a spectral similarity value is determined which is based on calculation of the covariance of the spectra of the source signal and reception signal and division of the covariance by the standard deviations of the two said spectra.The method makes it possible to obtain an objective assessment (speech quality prediction) while taking the human auditory process into account.

A new approach to objective quality assessment of DCT-coded video sequences, with or without a reference is proposed. The system is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis. The methods mimic function of the human visual system (HVS): A neural network training algorithm is used for determining the optimal network weights and biases for both system modes of operation. The proposed method allows for assessment of DCT-coded video sequences without the original source being available (pseudo-reference mode). The pseudo-reference mode is also comprised of a proprietary DCT-coded video (MPEG) noise reducer (MNR), co-pending patent application no. 60 / 592,143.

Appropriate assessment of wound oxygenation is critical to establish a diagnosis, to monitor the effect of the treatment, to guide the therapeutic process, to identify the presence of infection, and to predict the treatment outcome. Embodied systems and methods represent an enabling technology for noninvasive and objective assessment of wound tissue oxygenation. In addition to wound healing, disclosed embodiments offer low cost and portable avenues for noninvasive assessment of multiple clinical parameters for the detection and intervention of various malignancies in multiple soft tissue systems.

A system for objective assessment of learning outcomes comprising a data repository comprising at least a hierarchical arrangement of a plurality of learning goals, a report generator coupled to the data repository, an analysis engine coupled to the data repository, a rules engine coupled to the data repository, and an application server adapted to receive application-specific requests from a plurality of client applications and coupled to the data repository. The application server is further adapted to provide an administrative interface for viewing, editing, or deleting a plurality of learning goals and relationships between them, learning assessment tools, learning outcome reports, and learning indexes, and the rules engine performs a plurality of consistency checks to ensure alignment between and among learning goals, learning assessment tools, learning outcomes, and learning indexes. The application server receives learning assessment data and the analysis engine performs analyses to generate a plurality of learning indexes.

A method and apparatus for providing an objective assessment of the neurological state of a patient using a field-portable neuro-assessment device is described. The method includes placing an electrode set on the patient's head, acquiring spontaneous brain electrical signals and evoked potential signals from the patient through the electrode set, processing the signals using a handheld base unit, and displaying a result indicating the probability of the patient's neurological signal being normal or abnormal. The neuro-assessment device allows for a rapid, on-site neurological evaluation by an emergency medical technician, triage nurse, or any other medical personnel to identify patients with neurological disorders who may require immediate medical attention.

The invention relates to an energy efficiency assessment model and an energy efficiency assessment method for a boiler system. The method comprises the following specific steps of: (1) collecting basic data of the boiler system; (2) inspecting economic running of a boiler, and putting forward an economic running employee evaluation form of the boiler; and (3) performing energy efficiency assessment on the boiler system: initially establishing an energy efficiency index system of the boiler system; performing data preprocessing on the initially-established energy efficiency index system, wherein data preprocessing comprises type uniformization of an evaluation index, non-dimensional normalization and optimal filtration; computing the value of a secondary index in the energy efficiency index system; computing weights of a primary index and the secondary index by applying a hierarchical comprehensive evaluation model, and completing objective assessment of the primary index based on G1 group judgment and subjective assessment of the secondary index based on an entropy method; and completing determination of the comprehensive weight of the hierarchical comprehensive evaluation model by adopting organic combination of expert experience and subjective data, establishing a mathematical model of comprehensive energy efficiency evaluation of the boiler system, and quantifying the evaluation result of the boiler system.

The present invention is directed to a method for improving the quality of life of a patient. The method involves assessing the patient's quality of life by evaluating parameters relating to the patient's health, and assigning a score in relation to the evaluated parameters. In one version, the patient's score is compared to a standard score, and a treatment program is assigned to the patient on the basis of the comparison. The evaluated parameters may be related to the patient's mental health and physical health, and a mental health score and a physical health score can be assigned. In another version, the mental health score is compared to the physical health score, and a treatment regimen is assigned on the basis of the comparison. The method allows for improvement in quality of life of the patient by providing for a substantially objective assessment of parameters relating to the patient's health.

The invention discloses a non-reference asymmetric distorted stereo image objective quality assessment method. The method comprises the following steps: firstly, filtering a left viewpoint image and a right viewpoint image of a to-be-assessed asymmetric distorted stereo image respectively by virtue of a Gabor filter and a Gaussian filter so as to obtain corresponding Gabor filter image and Gaussian image; then, establishing a valid mathematical model integrated with asymmetric distorted stereo visual perception characteristics by simulating a human visual system, and obtaining a left and right viewpoint characteristic integrated image of the to-be-assessed asymmetric distorted stereo image according to the mathematical model; then, carrying out local binarization model operation on the left and right viewpoint characteristic integrated image so as to obtain a local binarization model structural characteristic image, and obtaining a histogram statistic characteristic vector by virtue of a histogram statistic method; and finally, according to the histogram statistic characteristic vector, forecasting an objective quality assessment predicted value by virtue support vector regression. The objective quality assessment method disclosed by the invention has the advantage that the correlation between an objective assessment result and subjective perception can be effectively improved.

Method, system and device for assisting diagnosis of autism which enable assistance of early detection and early definite diagnosis of autism (especially in infants) based on objective evaluation, using a conventionally suggested “eye-gaze detection technique”. The method for assisting diagnosis of autism of a subject uses an eye-gaze detecting unit, the unit having at least an imaging camera portion. The method includes displaying, at the position in front of the subject along the direction of the eye gaze of the subject, an illusionary image contained in a plane of an illusion-causing image on a displaying device. The eye-gaze position information of the subject looking at the plane is detected, and the eye-gaze position information of the subject is input into an eye-gaze position information storage portion The eye-gaze positions of the subject can be evaluated using a algorithm for assisting diagnosis of autism.

The invention provides a closed-loop hypnotic head cover based on brain electric wave monitoring. The closed-loop hypnotic head cover becomes a daily necessity (in the fields of agriculture, light industry and medical supplies). The closed-loop hypnotic head cover is simple in structure and powerful in function, and the bidirectional interaction between the head cover and a mobile phone is achieved. The head cover is micro and lightweight terminal equipment and is composed of a cover body and an equipment cabin. The cover body is a net-shaped 'cap'. The equipment cabin is a soft cabin body, a built-in brain electrical sensor can acquire delta, theta, alpha, beta and gamma brain electric waves in real time, and the brain electric wave occurrence time and duration in each sleeping stage are recorded; corresponding brain electrical music is played, and brain electric waves are guided from a waking state to a meditation direction, then from a meditation state to a light sleep direction, and finally from a light sleep state to a deep sleep direction; through tracing acquisition, vertical comparison and verification are conducted on brain electrical data, and according to quantitative data and qualitative analysis, an objective assessment is made; through an optimization algorithm, the volume of hypnotic music changes with the change of different brain electricity, the brain electrical music is firstly played to guide the brain electric waves, the brain electrical sensor and a three-dimensional acceleration sensor are used for double acquisition, and the hypnotic effect is analyzed in the aspects of the brain electricity and a body.

The invention discloses a credit assessment method and system. The credit assessment method includes the steps of obtaining initial confidence values of users according to personalized credit control information of the users; analyzing detailed record data of the users to obtain social circle information of the users; calculating confidence value correction factors through the obtained social circle information, and correcting the initial confidence values to obtain credit values of the users. By means of the credit assessment method, credit parameters of social circles of the users are introduced into a user credit assessment system, the social circle information is mined and calculated through a large data platform, the confidence degree correcting factors of the social circles of the users are introduced on the basis of the initial confidence values of the users, objective assessment on the credits of the users is achieved, operators can easily and comprehensively assess the credit reliability of the users in a multi-dimension mode, the user experiences are accordingly improved, and operational risks of the operators are reduced; in other words, the occurrence probability of events such as money owing is lowered.

The invention discloses a non-reference voice quality objective assessment method based on deep learning voice enhancement, belonging to the voice quality assessment technology field. The non-reference voice quality objective assessment method based on deep learning voice enhancement comprises steps of enabling voice to be tested to go through a trained voice enhancement model based on a deep belief network to obtain an enhanced signal, extracting Mel-frequency cepstral coefficients of signals before and after enhancement respectively, obtaining a difference of the two coefficients, taking the parameter as an input and mapping the parameter as a final objective score through a BP neural network model of a second layer and thus realizing an objective assessment of the non-reference voice quality. Compared with a traditional voice quality assessment model, a correlation degree between the non-reference voice quality objective assessment method of the invention and the object quality score is good and a mean square error is smaller.

The invention provides a method for quantitatively evaluating the symptoms of tremor of a patient with Parkinson's disease according to the approximate entropy and the cross approximate entropy, belonging to the fields of health care and pattern recognition. The method is characterized by comprising the following steps of: collecting the data of specified tremor of the thumb, collecting the data of specified tremor of the index finger, and grading the specified tremor of the thumb and the specified tremor of the index finger according to a UPDRS (unified Parkinson's disease rating scale); preprocessing the data of tremor; separating a sample training set from a sample testing sample; calculating the approximate entropy and the cross approximate entropy of the data of tremor; constructing the model of a classifier, and verifying the effectiveness of a method. The regularity and the synchronization of the tremor of the patient with Parkinson's disease are disclosed effectively according to the approximate entropy and the cross approximate entropy, and the symptoms of tremor can be accurately and quantitatively classified according to the tremor amplitude, the tremor frequency and other characteristics of the patient. The method is used for objectively evaluating the symptoms of tremor of the patient with Parkinson's disease, and can be applied to the fields of treatment and rehabilitation assessment of the patient with Parkinson's disease and the like.

The invention discloses a pixel type based assessment method of image quality by utilizing structural similarity, comprising the following steps: (1) computing gradients of the reference map and the assessment map by the Canny method, simultaneously obtaining two thresholds representing the strong and weak boundaries of the image gradient values, dividing each pixel position in the image into marginal, texture and flat regions and establishing the regional weight map (RWM) with different weights in different pixel region types; (2) comparing the brightness, contrast and gradient structural similarity of the reference map and the assessment map to obtain the gradient structural similarity (GSSIM) index; and (3) carrying out point multiplication on the RWM and the GSSIM obtained in the steps (1) and (2) to obtain the degeneracy information index map with different weights in different pixel regions and obtaining the mean of the map to obtain the assessment value for assessing the image quality. The method can be widely applied to each stage of image processing, can rapidly give the specific index value for measuring the image quality and is high in accuracy and strong in practicability.

The invention discloses a method of monitoring the data collection and aggregation states, including the following steps: a. the invention detects the information of collection and aggregation states of various data migration points during the collection and aggregation process; b. the client makes use of the configuration information of various data migration points and the information of collection and aggregation states to generate the navigation tree information and the topology graph information which takes the concerned data migration points as the center, and the information is displayed by legend. The invention also discloses a system of monitoring the data collection and aggregation states at the same time. The invention can provide the intuitive, vivid and real-time information of data collection and aggregation states for the working staff, the general technical staff can carry out the objective assessment of the information of the data collection and aggregation states of various processes during the collection and aggregation process by the invention, which does not need the telecommunication network management maintenance staff with the experiences, furthermore, the invention can timely and clearly discover the problems and accurately position the problems, further to adopt the targeted operations to solve the problems.

The invention relates to a color correction objective assessment method consistent with subjective perception. The method comprises the following steps: Step S1, reading a reference image and a target image and generating a matched image by a scenario mapping algorithm to be used as a new reference image; Step S2, assessing the target image by a contrast similarity assessment method to obtain a contrast similarity assessment result CS; Step S3, assessing the target image by a pixel-value difference assessment method based on average value to obtain a difference value assessment result DV1; Step S4, assessing the target image by a pixel-value difference assessment method of maximum difference fusion to obtain a difference value assessment result DV2; and Step S5, fusing the assessment results CS, DV1 and DV2 by a linear fusion model to obtain a final objective assessment score value V. The method can effectively assess color consistency between images, has good correlation with subjective scoring of users and has accuracy, and can be applied in the field of image mosaic and left and right view colors consistency assessment of three-dimensional images.

A method of developing a MVQP system includes determining network factors affecting video quality over a LTE network; displaying, via live video streaming, video recordings; receiving evaluations of the displayed video recordings to form a subjective assessment; calculating a subjective MOS for the video recordings based on the corresponding subjective assessment and the network factors; calculating a correlation between the received evaluations and the subjective MOS for the video recordings; receiving and saving the video recordings for an objective assessment; measuring the network factors during reception of the video recordings in the objective assessment; predicting an objective MOS for the video recordings based on the measured network factors, the calculated correlation, and at least one weight value; comparing the predicted objective MOS to the subjective MOS; and based on the comparison, modifying the weight value. The measuring, predicting, and comparing are repeated until a predetermined condition is met.

An implantable medical device delivers neurostimulation therapy to a patient according to a parameter set. A parameter set may consist of a number of programs that are delivered substantially simultaneously. When programming the implantable medical device for the patient, a clinician programmer may maintain a session log for the patient that includes a listing of programs delivered to the patient and rating information provided by a clinician and the patient for programs of the list. The listing may be ordered according to the rating information in order to facilitate the selection of programs for a parameter set. A program library that may include particularly effective programs organized according to a directory structure may be stored in a memory. One or both of the implantable medical device and a patient programmer may store usage information that provides an objective assessment of therapy use by the patient, and allows a clinician to later improve the therapy based on the usage information.

An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks. After obtaining the manifold similarity and the luminance similarity, quality values of the left and right viewpoint images are processed with linear weighting to obtain a quality value of the distorted stereoscopic image.

A method and system for image quality assessment is disclosed. The image quality assessment method is a no-reference method for objectively assessing the quality of medical images. This method is guided by the human vision model in order to accurately reflect human perception. A region of interest (ROI) of medical image is divided into non-overlapping blocks of equal size. Each of the blocks is categorized as a smooth block, a texture block, or an edge block. A perceptual sharpness measure, which is weighted by local contrast, is calculated for each of the edge blocks. A perceptual noise level measure, which is weighted by background luminance, is calculated for each of the smooth blocks. A sharpness quality index is determined based on the perceptual sharpness measures of all of the edge blocks, and a noise level quality index is determined based on the perceptual noise level measures of all of the smooth blocks. An overall image quality index can be determined by using task specific machine learning of samples of annotated images. The image quality assessment method can be used in applications, such as video / image compression and storage in healthcare and homeland security, and band-width limited wireless communication.

The invention relates to a deep sea video quality objective assessment model based on a spatial-temporal feature. The assessment model comprises the steps as follows: S1, a deep sea video sample set performs time domain learning, and extracts a feature vector based on a time domain dimension; S2, the deep sea video sample set performs spatial domain learning, and extracts a feature vector based ona spatial domain dimension; S3, the feature of the time domain is integrated with the feature of the spatial domain to form a final deep sea video quality classification data set; S4, classificationof a deep sea video quality classifier is semi-supervised; and S5, the deep sea video quality objective assessment model is built. The model has the advantage that the deep sea video quality objectiveassessment model is built, and an objective quality assessment service is provided for the public. The effect of various underwater image / video enhancement algorithms applied to improving deep sea video quality is assessed, and the work efficiency based on deep sea video research is improved.

The invention discloses an objective assessment method based on voice enhancement algorithm subjective assessment. The method is a new objective combination method proposed by utilizing multi-linear regression analysis based on five voice enhancement objective assessment methods as follows: PESQ, LLR, CEP, fwSNRseg and fwSNRsegVar. An objective score for assessing the quality of a voice signal, an objective score for assessing the quality of background noise and an objective score for assessing overall quality are obtained by the combinations of different weighting coefficients and five objective methods. The subjective and objective correlation coefficients of the method are superior to a plurality of other traditional objective algorithms, the standard deviation of error is lower, and the assessment of performance of the voice enhancement algorithm is easier, therefore, the invention has great practical value.

The invention provides an enterprise BIM technology application capability quantification assessment method. The invention discloses an enterprise Building Information Modeling technology application capability assessment method. The method includes the following steps: defining the concept of enterprise BIM application capability; selecting and classifying impact factors of the enterprise BIM application capability; setting the weight of each impact factor; classifying levels of each impact factor; applying an enterprise BIM technology application capability assessment; and dividing the development stages of the enterprise BIM application capability. According to the invention, the method addresses the difficulty of quantification assessment of the enterprise BIM application capability by achieving the quantification assessment of the enterprise BIM application capability and provides accurate and objective assessment result and by providing a sustainable development route for the enterprise BIM application capability.

The invention discloses a method for hiding information in a bearing image. The method comprises an information hiding step at an image sending end and an information extraction step at an visual receiving end, wherein the information hiding step comprises a bearing image preprocessing step, and a step of hiding information bits by using the preprocessed bearing image; and the information extraction step adopts a process inverse to the information hiding step to implement extraction of the information bits. Meanwhile, the invention also provides an image quality evaluation method and an information transmission method implemented by adopting the information hiding method. By adopting the methods, the compression resistance of hidden information in the bearing image is improved, the information amount of information which can be hidden is further increased, and objective assessment of picture quality and secrecy transmission of information are realized.

The invention discloses an aesthetics image quality evaluation method based on EEG (electroencephalogram) signals. The aesthetics image quality evaluation method based on EEG signals overcomes the problems that in the prior art, the aesthetics image quality evaluation method does not consider the subjectivity of aesthetic perception of human, so that objective aesthetics image quality evaluation is separated from the evaluation main body; and the deep learning network cannot completely simulate the evaluation thinking and result of human, and cannot be preferably combined with subjective evaluation. The aesthetics image quality evaluation method based on EEG signals includes the steps: 1) selecting an image to be evaluated; 2) acquiring EEG signals; 3) extract single time of EEG signals; 4) classifying the single time of EEG signals; and 5) evaluating the image quality. The aesthetics image quality evaluation method based on EEG signals relatively more accord with subjective evaluationof human while objectively evaluating the aesthetics image quality, and the evaluation result is relatively more accurate.

The invention discloses an objective assessment method for audio quality of a compressed domain based on distortion correction, and belongs to the communication field. The objective assessment method is characterized by comprising the following steps of: extracting characteristic parameters including code rate, scale factor, pre-echo distortion, frequency distortion and speech coding distortion from a compressed audio stream; performing basic assessment on the audio quality according to the code rate and the scale factor, and giving an initial objective assessment score; and judging whether distortions exist according to the characteristic parameters of the pre-echo distortion, the frequency distortion and the speech coding distortion, and correcting the objective assessment score when the distortions exist so as to obtain a final objective assessment score. According to the objective assessment method disclosed by the invention, factors which influence the audio quality are taken full consideration, so that the objective assessment method can be used for simulating a subjective assessment result in a better manner.

The application discloses a credit evaluation method, device and system of a trading entity in an online trading platform. The method includes: acquiring historical transaction data corresponding to transaction entities in the online trading platform; extracting multiple sets of characteristic data from the historical transaction data with a plurality of predetermined characteristic dimensions, each of which includes at least one The predetermined characteristic corresponding to the above characteristic data; Substitute the characteristic data corresponding to the predetermined characteristic of the predetermined characteristic dimension into the corresponding preset reference model to obtain the characteristic value corresponding to the predetermined characteristic dimension, and the said transaction entity Characteristic values ​​of a plurality of predetermined characteristic dimensions form a characteristic vector representing the transaction entity; based on substituting the characteristic value of the characteristic vector into a preset evaluation model according to a predetermined algorithm, the credit value of the transaction entity is obtained. The credit evaluation method, device and system described in this application can objectively evaluate the credit value of transaction entities.

The invention discloses a method and a device for assessing video quality. The method comprises the steps of: grouping to-be-accessed videos based on video contents, wherein each video group comprises at least two to-be-accessed videos; based on a video grouping result, generating address information pointing at a playing interface comprising the at least two to-be-accessed videos, so as to synchronously play the at least two to-be-accessed videos based on the address information, and obtaining a subjective assessment result of each to-be-accessed video in the at least two to-be-accessed videos; respectively obtaining at least one assessment parameter of the to-be-accessed videos, wherein the at least one assessment parameter represents the quality of the videos; based on the at least one assessment parameter, and a weight coefficient preconfigured for each assessment parameter, obtaining an objective assessment result of the to-be-accessed videos; and based on the subjective assessment result and the objective assessment result of the to-be-accessed videos, obtaining a quality assessment result of the to-be-accessed videos.