31 results about "Adaptive assessment" patented technology

A genetic algorithm (GA) approach is used to adapt a wireless radio to a changing environment. A cognitive radio engine implements three algorithms; a wireless channel genetic algorithm (WCGA), a cognitive system monitor (CSM) and a wireless system genetic algorithm (WSGA). A chaotic search with controllable boundaries allows the cognitive radio engine to seek out and discover unique solutions efficiently. By being able to control the search space by limiting the number of generations, crossover rates, mutation rates, fitness evaluations, etc., the cognitive system can ensure legal and regulatory compliance as well as efficient searches. The versatility of the cognitive process can be applied to any adaptive radio. The cognitive system defines the radio chromosome, where each gene represents a radio parameter such as transmit power, frequency, modulation, etc. The adaptation process of the WSGA is performed on the chromosomes to develop new values for each gene, which is then used to adapt the radio settings.

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 provides a system for performing self-adaptive estimation to a user by using estimating contents with a multilayer arranging manner. The estimating system provides corresponding estimating contents for users by interacting with users and provides users with the contents for subsequent estimation or knowledge points to be learnt according to the feedback of the estimating contents made by the users, based on the multilayer arranging manner of the estimating contents and combining the feature information of the users. The estimating system establishes dataset for each user, records the feedback of the estimating contents made by the users, and provides each user with the proper estimating content based on the dataset and / or the basic information of the user so as to realize personalized estimation.

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.

An adaptive data communication approach permits communication bus monitoring by using a reconfigurable bus monitor built into the CPU bus structure and adapted to report back to the CPU in response to detecting certain CPU-programmed events. In one particular example embodiment, a circuit arrangement having a CPU circuit communicates with another device over a communication channel while a reconfigurable circuit monitors the communication channel. The CPU circuit configures the reconfigurable circuit for monitoring any of various types of event expected to occur on the communication channel. The reconfigurable circuit collects signals passed on the communication channel and reports back to the CPU circuit when data indicative of the first event type occurs on the communication channel. In response to the data indicative of the monitored event, the CPU circuit reconfigures the reconfigurable circuit to monitor for another event type occurring on the communication channel and thereby permits for an adaptive evaluation of the communication channel. Another aspect of the invention is directed to the CPU redirecting data communication in response to this adaptive evaluation.

The invention belongs to electroencephalogram feature classification of the field of biometric feature recognition and in particular discloses a visual evoked potential affective recognition method based on width learning. The method comprises the following five steps: performing adaptability evaluation on an international affective picture system (IAPS); acquiring electroencephalogram generated on the basis of visual evocation; preprocessing data by using methods such as band-pass filtering; extracting multiple features of the electroencephalogram in different methods; and performing classification treatment on the electroencephalogram on the basis of width learning. According to the experiment method designed by the invention, adaptability evaluation on the international affective picture system (IAPS) is implemented, so that the experiment accuracy can be improved; as the data are preprocessed by using the methods such as band-pass filtering, fluctuation and differences of the electroencephalogram at different moments can be eliminated; as multiple features are extracted by using a power spectrum density method, the robustness and the efficiency of electroencephalogram and affective classification can be improved; and as affective classification is implemented by using a width learning method, results of affective classification can be prevented from local optimum, and in addition, the cost can be reduced.

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.

Query processors often receive queries to be processed against a data set, such as by inserting user input into parameterized fields of a query template. Some queries may include a conditional statement, and manipulation of user input (e.g., injection attacks) may introduce a delay through a conditional branch. The time required to fulfill the query may indicate which conditional branch was taken, thus revealing properties of the data set that are intended to be withheld. Instead, a query processor may examine the query to identify, between a pair of conditional branches, a processing delay of the first conditional branch as compared with the second conditional branch. The query processor may identify a query adaptation that reduces the processing delay of the first conditional branch as compared with the second conditional branch, and evaluate the query against the data set according to the query adaptation to present a query result.

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 discloses a plateau adaptability evaluation method, and the method comprises the steps: building and verifying a deep neural network learning model of a plateau adaptability evaluation model through employing sample data and the experience knowledge of a doctor; using the physical examination data as input data, analyzing the input data through a learning model, and outputting the score of the plateau fitness. The problem that in the prior art, the adaptability of the personnel to plateau work cannot be rapidly and scientifically evaluated is solved.

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.

Systems and methods for adaptive assessment may utilize test deliver policies derived from a multi-armed bandit approach in combination with an item response theory model. A monotonic policy may involve defining a difficulty range according to which test items are selected for delivery during an assessment, where the difficulty range is updated following delivery of each test item based on test-taker performance. A multi-stage policy may implement several stages for test item delivery, with a different initial difficulty range for test item selection being defined for each stage and the difficulty ranges being updated based on test-taker performance within each respective stage. A probability matching policy may involve defining an item difficulty probability distribution according to which test items are selected for delivery to a test taker, where the probability distribution is initialized based on test taker skill level and updated based on test taker performance.

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 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.

Disclosed is a method of efficiently allocating resources in a cloud computing system of the High-Throughput Computing (HTC) field. In more detail, a cloud resource allocation model is proposed in which accumulated job histories are analyzed, a correlation between a performance factor and the job properties is extracted, a factor which is greatly influential in a task performance is identified based on the result of the analyzing and the extracting and is applied to subsequent resource allocations, and reanalysis is performed adaptively.

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 technical field of equipment test and identification, and discloses a method for evaluating the use guarantee capability of equipment. A method combining qualitative analysis and quantitative analysis is adopted. the method comprises: establishing an evaluation index system of the use guarantee capability of the equipment, and giving a quantitative description model ofeach unit element and a comprehensive aggregation model of the use guarantee capability evaluation of the equipment, including a use guarantee capability evaluation index system, a use guarantee capability unit evaluation model and a use guarantee capability comprehensive evaluation model; wherein the use guarantee capability unit assessment model adopts a combat maintenance guarantee adaptability assessment model, a combat use guarantee adaptability assessment model and a combat guarantee resource supportability assessment model. Qualitative and quantitative combined, unified and standardized evaluation process and method are adopted, the method is universal, easy to use and practical, all attribute discrimination standards are established on a multi-scene task environment, and the reliability of an evaluation result is higher.

The invention discloses a decision-making method for adaptability evaluation of distribution network fault line selection, which comprises step 1 establishing various influence factors for distribution network fault line selection modes; step 2 measuring the influence factors under different dimensions According to different line selection methods, a unified positive evaluation index is formed; in step 3, the evaluation index of each line selection method is normalized, the maximum value of the index constitutes an ideal sample, and the minimum value of the index constitutes a negative ideal sample; Step 4 makes an evaluation decision based on the ranking of line selection indicators; it solves the problem that when selecting lines for distribution network faults, factors such as distribution network structure, outgoing line type, and load conditions will have different degrees of influence on different line selection methods; At present, there is a lack of research on the comprehensive evaluation of line selection methods. It is impossible to select the most optimal line method for the specific structure of the distribution network, and it is impossible to ensure the accurate selection of fault lines, which threatens the safe and reliable operation of the distribution network and other technical problems.

The invention discloses a method for evaluating the adaptability of electric power communication services and wireless private network technology, which regards the network as a collection of a series of communication links, determines the adaptability evaluation framework between smart grid services and wireless communication technologies, and analyzes The input of power business requirements and the corresponding wireless technology give the adaptability evaluation results. Then analyze the characteristics of the power business and determine the demand indicators for various businesses. The present invention conducts research on the business characteristics of distribution and utilization measurement of the smart grid and the network topology structure of the smart grid, and determines the business characteristics and evaluation indexes of various electric power services. The adaptability evaluation method between electric power communication business and wireless private network technology proposed by the present invention can select the optimal wireless communication technology for smart grid business, build a more efficient and reliable communication environment, and at the same time make full use of wireless communication technology , improve the utilization rate of wireless resources.

The invention discloses a method for evaluating the safety adaptability of unit operation in the primary frequency regulation performance test of thermal power units, belonging to the field of automatic control of electric power systems. It includes three sub-assessment methods: unit steady-state characteristic assessment, unit dynamic characteristic assessment and unit low-frequency oscillation risk assessment. According to the WAMS data uploaded by the power plant through the PMU, through state comparison, model simulation, parameter identification, disturbance test simulation and other methods, it is ensured that the disturbance amplitude imposed by a frequency modulation performance test of the thermal power unit is limited within the safety boundary of the unit, so as to prevent the unit from Power oscillation, combustion instability, main machine vibration and other consequences occurred during the test, effectively ensuring the safety of power generation.

The invention related to an improved reference power grid evaluating method. The improved reference power grid evaluating method comprises following steps of giving out a current power grid parameter and the load predicted value in each period within a forward time scale, and planning a network candidate branch scheme; constructing an optimization model which aims at minimizing the annual power generating cost and the annual power transmission cost and comprises a plurality of constraints; processing a mixed integer nonlinear constraint formula in the optimization model, converting the mixed integer nonlinear constraint formula into a mixed integer linear programming model, solving the optimization model by means of a mixed integer linear programming method, and obtaining a final power transmission line capacity value. The improved reference power grid evaluating method can be used for adaptability evaluation of the current power grid under the load level in the forward time scale to make weak links of the current power grid be clear, actual operation mode optimization of the power grid, power grid topological correction control under accident conditions, fluctuation conditions of safe wind power and load power are considered and are used for optimizing the power grid programming scheme, the accuracy of the planning decision is improved, and professional and lean management of power grid development is achieved.

Methods and systems providing adaptive assessment of a physical subject to efficiently collect assessment data and modify an assessment schedule based on the analyses. The methods and systems can control the timing of each assessment in order to collect data at times and under conditions that are most informative about the physical subject. Such adaptive methods and systems significantly minimize the frequency of data collection without loss in accuracy or precision and can increase test reliability through reduction in redundancy. The ability to estimate an unknown, underlying function using a small number of free parameters that remain constant regardless of the number of data points being estimated substantially reduces the error of the function estimate. Because estimates of the measurement error are achieved with a minimum of sampled assessments, and with great accuracy, the statistical power of clinical trials, for example, can be greatly increased.

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.