30 results about "Adaptive assessment" patented technology

A dynamic stochastic optimal power flow (DSOPF) control system is described for performing multi-objective optimal control capability in complex electrical power systems. The DSOPF system and method replaces the traditional adaptive critic designs (ACDs) and secondary voltage control, and provides a coordinated AC power flow control solution to the smart grid operation in an environment with high short-term uncertainty and variability. The DSOPF system and method is used to provide nonlinear optimal control, where the control objective is explicitly formulated to incorporate power system economy, stability and security considerations. The system and method dynamically drives a power system to its optimal operating point by continuously adjusting the steady-state set points sent by a traditional optimal power flow algorithm.

Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.

The invention relates to a Chinese oral English quality assessment method independent from text. A standard English pronunciation acoustic model of the Wall Street Journal and Chinese oral English pronunciation data whose expression is correct but pronunciation is not standard are input to establish an adaptive pronunciation recognition model of oral English via training; the standard English pronunciation acoustic model of the Wall Street Journal and Chinese oral English pronunciation data whose expression is correct and pronunciation is standard are input to establish a standard adaptive assessment model of oral English; input oral speech data of a person to be assessed is identified by utilizing the adaptive pronunciation recognition model of oral English; and the identified oral speech data is processed by the standard adaptive assessment model of oral English, and the quality and score of the oral speech of the person to be assessed is output. The method based on acoustic mixed English models and independent from text can solve the problems in assessing the oral English quality of Chinese by a computer system.

The invention discloses a Chinese reading competence assessment method and system. The assessment method adopts a unified level reading competence assessment standard and mode, so that the problem oflarge competence estimation difference due to large difference of assessment standards is no longer the case; the method also adopts a Chinese language system and culture to realize corpus construction and question compiling, and is suitable for a domestic Chinese reading and evaluation system; through cooperation of an item response theory and equivalent transformation, measuring scale unification of all questions is realized, thereby solving the difference problem of comparison of capability values under different measuring scales, and improving flexibility of assessment groups; through computer adaptive assessment technology, competence assessment and section of scoring questions are realized, thereby greatly reducing the amount of questions required for obtaining reliable competence assessment, and meanwhile, greatly accelerating the score reporting process; and through multistage competence assessment, only reading competence of a test object is estimated, and larger application value is realized in the reading competence improving aspect. The assessment system realizes the same effects above.

The invention discloses a method of assessing the health degree of the device running status based on the multi-characteristic adaptive fusion. The method comprises the steps that 1, based on the vibration signals of each measurement surface of the rotor component of the device, the time-domain characteristic parameters and the frequency domain parameters of the rotor component of the device are computed; meanwhile the process characteristic parameters of the current conditions of the device are collected; 2, a model of assessing the health degree of the device status is obtained, the hierarchical structure of the health degree membership relations can be reflected from the model of assessing the health degree of the device status, then an objective set and an indicator set are determined by utilizing the hierarchical structure of the health degree membership relations; 3, the membership degree function corresponding to each indicator in the indicator set is determined; 4, the health degree value of each indicator is calculated according to the membership degree function corresponding to each indicator in the indicator set; 5, the health degree of the device running status is finally obtained through the data fusion of the health degree values of various indicators and the corresponding adjusted weights. The method can accurately achieve the self-adaptive assessments of the health degree of the device running status.

A computer-based method for evaluating a subject, based on presenting a session of evaluation exercises to the subject and automatically evaluating the subject's performance. The method comprises: providing a server, a data storage provided on said server, the storage provided with database that comprises personal identity data about the subject and an exercise library comprised of a plurality of exercises, processing means on said server for processing the subject's performance data and evaluating the subject and at least one of a plurality of computers having display means and user interface, each computer connected over a network to the server; the computer including a subject assessment module; retrieving a session of exercises from the server and presenting it to the subject on the display means, receiving input from the subject through the user interface, and transmitting the input to the processing means of the server for analyzing, using a genetic algorithm by the server the algorithm comprising a fitness evaluation function applied to a set of chromosomes, a chromosome comprising a scoring technique applied to a set of possible exercise sessions to select a suitable exercise session based on the subject's performance, wherein the genetic algorithm operates under constraints.

The invention discloses a self-adaption evaluation method for reliability of systems of cascaded structures. The method includes the steps that by means of iteration, Monte Carlo simulation analysis is conducted on each invalid pattern every time for recognizing an invalid sample, and a new invalid pattern is selected so that self-adaption evaluation of the reliability of the cascaded systems is achieved, and the calculation consumption can be effectively reduced. The method is simple in procedure, the reliability of the systems obtained after evaluation increases monotonously and is gradually convergent, the calculation consumption is less, and a new scheme is provided for the reliability evaluation of the systems of the cascaded engineering structures.

The invention discloses an image data compression transmission method and system and a computer readable storage medium, and the method comprises the steps: simulating a deep learning model of a cloudserver, and designing a local adaptive evaluation network; identifying the image data by using an adaptive evaluation network, selecting an encoder control strategy corresponding to the image data, and estimating the confidence of the cloud server to the image data; according to the lowest allowable code rate corresponding to the confidence coefficient, controlling an image encoder to compress the image data to obtain compressed image data, wherein the higher the confidence coefficient is, the lower the lowest allowable code rate is; and uploading the compressed image data to a cloud server according to the lowest allowable code rate. According to the technical scheme of the invention, the method can solve a problem that the restoration degree of a cloud server for an image is lower because the image is liable to be excessively compressed and distorted in the prior art, and reduces the occupation of bandwidth on the premise that the cloud server has higher model recognition degree forthe compressed image data.

The invention relates to an image adaptive fusion method, belonging to the image processing field. The invention converts image fusion in multi-imaging system into pixel interpolation method in new coordinate system, The left pixel region of the new image is completely taken from the pixel information in img1, the right region of the new image is completely taken from the img2 image data after thecoordinate information is transformed, and then the pixel information of the overlapping region in the middle is evaluated and optimized by an adaptive method, so that the pixel information of the overlapping region is fuller. The invention introduces the idea of cosine distance discriminant analysis into image fusion technology, Compared with traditional technology, it greatly reduces the possibility of image distortion after fusion, The robustness is better, which can effectively correct the possible non-uniformity of metrics when each pixel is selected, automatically select and plan the appropriate imaging point set of each camera, the result of image fusion is smoother, at the same time, the image detail information is fuller, and the overall effect is more realistic.

The invention discloses a method for self-adaptively evaluating an anti-shake function of a mobile phone, which comprises the following steps of: 1, fixing the position of the mobile phone, starting avibration table, and shooting an image when the anti-shake function is started or closed; 2, automatically judging a to-be-used evaluation strategy according to the shot image; 3, calculating mobilephone anti-shake function evaluation parameters based on the image blur amount and the image target displacement amount; and 4, generating a mobile phone anti-shake function evaluation report according to a calculation result. According to the method, the anti-shake functions of various types of mobile phones with anti-shake functions are objectively evaluated in a self-adaptive manner; accordingto the mobile phone anti-shake function evaluation method and device, the defect that an existing mobile phone anti-shake evaluation process is single is overcome, the actual evaluation requirement ismet, the accuracy and effectiveness of the mobile phone anti-shake function evaluation result are improved, the evaluation result is more reasonable and more accurate, and transverse comparison of anti-shake functions between mobile phones is easier to achieve.

The invention discloses a multi-direct-current sending-end power grid planning scheme adaptability evaluation method and system, and relates to the technical field of power system safety, and the technical scheme is characterized in that: the method comprises the steps of: calculating a first parameter in system strength adaptability parameters according to network basic information; selecting operation mode information to carry out load flow calculation to obtain a second parameter in an economic development adaptability parameter, an energy structure adaptability parameter and a system strength adaptability parameter; performing stability simulation on the target planning scheme according to the operation fault condition to obtain a safe and stable adaptability parameter; and comprehensively evaluating the economic development adaptability parameter, the energy structure adaptability parameter, the system strength adaptability parameter and the safety and stability adaptability parameter to obtain an adaptability evaluation result. According to the method, multiple influence factors are considered, comprehensive evaluation is carried out from the aspect of overall adaptability of the grid, and the adaptability of a sending-end power grid to supporting large-scale direct current delivery can be effectively reflected.

The invention relates to the technical field of physical health assessment, in particular to a college student physical health group adaptive assessment method, which comprises the following steps of: 1) aggregating subjective and objective weights by a least square to determine a final weight; comprising the following steps: calculating subjective weights of evaluation attributes based on AHP; calculating objective weights of evaluation attributes based on CRITIC; and calculating a comprehensive weight based on the least square aggregation. 2) performing evaluation on college student physical health weighted TOPSIS based on comprehensive index characterization; comprising the steps of establishing a decision matrix, constructing a weighted decision matrix, determining positive and negative ideal solutions, calculating a distance, a relative close degree and an optimal order, and judging a physical health type. According to the invention, the physical health of the college students can be well evaluated.

The invention belongs to the technical field of psychological assessment, and particularly relates to a psychological health comprehensive adaptive assessment method and system. The method comprises the steps: assessing the capability of a current testee, and determining test questions matched with the capability of the current testee; the problems in the prior art that since a large number of test items do not accord with the capability of the testee in a test, the accuracy of adaptive test is low and the personalization effect is not good are solved; and the method and the system have the beneficial effects that targeted testing is performed on the testee, and items, which do not accord with the ability of the testee, in the testing items are reduced on the basis of guaranteeing the sametesting effect, so that the accuracy of the adaptive testing is improved, and important scientific and practical significance is achieved.

The invention relates to the field of open framework products, in particular to an open interface adaptability evaluation and improvement method. The method includes the steps that an open interface model is built; an open interface adaptability evaluation model is built; an evaluation method of the open interface adaptability model is built; an open interface adaptability model sensitivity analysis method is built; according to an open interface adaptability sensitivity analysis result, interface adaptability is improved. The interface model and the interface adaptability evaluation model are built from the interface design function level, the structure level, the manufacturing level and the operation level, and the specific method for interface adaptability evaluation is given; by analyzing sensitivity of the interface adaptability model, interface adaptability is improved. Interface design staff can selectively improve interfaces according to requirements, and accordingly adaptability of part of levels of the interfaces is improved.