10606 results about "Evaluation result" patented technology

On a mobile communications device, visiting a link from a messaging application or web browser may result in an undesired action, such as visiting a phishing site, downloading malware, causing unwanted charges, using too much battery, or the device being exploited. In an implementation, a mobile application intercepts a request including an identifier associated with an action to be performed by another application on the device and evaluates the identifier to determine when the request should be permitted, blocked, or conditionally permitted. The client may use local data or make a request to a server to evaluate the identifier. In an implementation, server communications are optimized to minimize latency by caching evaluation results on the device, proactively priming the device's DNS cache, optimizing when DNS lookups are performed, and adapting evaluation policy based on factors such as the source of the request, and the currently active network connection.

Embodiments of the invention provide a comprehensive, automated system and method for evaluating the performance of individuals or entities employed by an organization, particularly useful in peer-profiling physician performance in multi-facility environments. Embodiments of the invention can dynamically compose a virtual peer or group of peers and perform peer-profiling on each individual or group of individuals to be evaluated. For example, a composite physician may be generated from system-wide and / or state-wide healthcare data as a benchmark against which a particular physician is profiled according to industry-standard measurements. The composite physician would have equivalent or similar job function(s) as well as patient population. The composite physician enables a comprehensive “apple to apple” comparison with the particular physician, giving meaning to and facilitating the usefulness of performance evaluation results.

System and method for performance-based routing in an SDN. An SDN controller is configured to adaptively determine data transmission routes based on real-time route performance evaluation provided by a virtual router. The virtual router includes a route detection component to attain route performance data and a performance evaluation component to evaluate the route performance based on predetermined criteria provided by the SDN controller. The evaluation result is sent to the SDN controller and used to intelligently determine a superior route selection and route usage for a specific application program. According to the determination, the SDN controller updates the flow table associated with the virtual router for subsequent data transmission.

Systems and methods providing a route optimization mechanism for transmitting data traffic across different autonomous systems based on real-time route performance detection. Regarding a request for routing data between a source node that is coupled to a first autonomous system and a destination node located in a second autonomous system, each of a plurality of edge nodes in the first autonomous system operates to detect and evaluate real-time route performance. The evaluation results are compared and used to select an edge node and an associated link for transporting data between the source node and the destination node. The route optimization mechanism can be adopted in an SDN-based or other virtual network autonomous system.

The invention discloses a collaborative interaction method for an unmanned plane cluster and a visual navigation system of an unmanned plane. The collaborative interaction method for the unmanned plane cluster comprises the following steps of: determining unmanned planes satisfying a collaborative condition in a communication coverage area of a certain unmanned plane by the unmanned plane in the unmanned plane cluster, and establishing an unmanned plane collaboration group according to the unmanned planes satisfying the collaborative condition; determining inter-plane routes of multiple unmanned planes in the unmanned plane collaboration group; allocating collaborative tasks to multiple unmanned planes in the unmanned plane collaboration group according to link state information of the inter-plane routes; and evaluating the link state according to the motion state of multiple unmanned planes in the unmanned plane collaboration group, and updating unmanned planes in the unmanned plane collaboration group and the collaborative task of each unmanned plane according to an evaluation result. The collaborative interaction method for the unmanned plane cluster is good in real-time, strong in reliability and high in communication quality, and can better adapt to an unmanned plane cluster communication environment during visual navigation.

Methods and systems for forming a team of experts and evaluating a portfolio of patent documents have been provided. The methods comprise the step of determining a bias of an expert, and then providing evaluations of patent documents assigned to the expert according to a selected evaluation method, which is bias corrected to reduce or compensate for the bias of the expert. A system for evaluating a patent portfolio comprises means for assigning the patent documents to said experts and monitoring progress of the evaluation process of each expert, and means for performing evaluations of the assigned patent documents by each expert. The system is further enhanced with the means for determining the bias of the expert, and with a 10 visualization unit for visualizing the results of the patent portfolio evaluation by color coding the evaluation results, wherein patent documents having different values are represented by different colors of a visible part of the light spectrum. A corresponding computer program product, a computer memory and a web site for providing access to the system and management of activities of the experts are also described.

A fully computerized musical performance teaching system comprises a computer apparatus having a keyboard and a display and is connectable to an electronic musical instrument. An application program provides the computer with various functions such as of judging student's skills, selecting music pieces for practice, training the student in performance and evaluating the student's progress through the teaching course. The judging function is to judge the student's performance skill from the student's responses to the subjects which the computer presents. The selecting function is to select a piece of music for practice according to the judgment results and the student's wishes and also to select a tutoring manner from among several prepared manners. The training function is to plan a practice schedule to meet the student's performance skill and wishes and to let the student practice with proper music pieces. The evaluation function is to evaluate and mark the student's performance, and reflect the evaluation results and marked points in the progressing rate and the presented subjects and also in adjusting the judgment results.

An onboard control device that is installed at a vehicle acquires land mark information including position information of a landmark which can be recognized on a road in which the vehicle is estimated to travel by a camera, a landmark image for recognition, a recognition evaluation value that represents ease of the recognition successfully performed and so on, and selects a landmark to be a subject for recognition based on the recognition evaluation value included in the landmark information. The onboard control device further evaluates the recognition results of the landmark to be a subject for recognition, and transmits the recognition results to the server with the landmark image recognized by the camera. The server aggregates the recognition evaluation results of the landmark and the recognized images and reflects them in the recognition evaluation values for the landmark information and landmark images to be transmitted to the onboard control device.

The invention embodiment provides a personal credit data processing method and a device; the method comprises the following steps: collecting original data used for evaluating users personal credit; converting and processing original data of each user so as to form standardization personal data; forming a personal credit evaluation model according to the standardization personal data; evaluating personal credit of the user according to the personal credit evaluation model. The method and device collect the user original data and convert and process the data, thus forming the personal credit evaluation model, so the user personal credit can be quantified and automatically evaluated, thus providing a personal credit evaluation platform; the user personal credit can be learned before mass services and transactions, and an evaluation result is more objective and accurate.

The invention relates to an objective standard based automatic oral evaluation system comprising a recognition aligning unit, a quantization evaluation unit and a standard adjustment unit, wherein the recognition aligning unit receives oral voice messages and a answer range and evaluation index information, recognizes and aligns input oral voice messages, generates characters from the oral voice messages and aligns the characters with voices; the standard adjustment unit carries out quantization evaluation standard adjustment on specific examination objects, targets and demands by an examination organization and generates and outputs a final quantization evaluation standard; and the quantization evaluation unit is respectively connected with the recognition aligning unit and the standard adjustment unit, receives quantization evaluation index information, quantization evaluation standard information output by the standard adjustment unit and character recognition aligning information output by the recognition aligning unit, extracts oral evaluation features according to the three information, caries out automatic evaluation and diagnosis and generates evaluation results and diagnosis report information.

The invention discloses a robustness code summary generation method based on a self-attention mechanism. The method comprises the steps that firstly, high-quality codes and description corpus pairs (query description texts and reply code texts) in a programming community are extracted; then redundant information of the codes and description corpus pairs is filtered out; then the query descriptiontexts corresponding to the codes are converted into declarative statements; lastly, a code summary of a sequential model based on the self-attention mechanism is generated. The robustness code summarygeneration method based on the self-attention mechanism has the advantages that the redundant information and noise content can be effectively removed, the automatic evaluation and artificial evaluation accuracy of the generated summary are both improved, and the evaluation result is superior to that of an existing baseline method.

The invention discloses a method for building a city gas pipe network vulnerability evaluation model. The method comprises the following steps that an evaluation model is built through fuzzy hierarchy comprehensive evaluation; a vulnerability evaluation index weight is determined; a city gas pipe network system fuzzy comprehensive evaluation basic model is built. As the system vulnerability evaluation and traditional risk evaluation are similar and both need to build evaluation index systems according to evaluation purposes, a proper evaluation method is selected to build an evaluation mathematical model, the model is utilized to conduct system vulnerability calculation and vulnerability grading, the quantitative and qualitative combined system vulnerability evaluation is achieved, and a research result of the city gas vulnerability can lay the foundation for improving the level of a Chinese gas pipeline management technology, prolonging the service life of a city gas pipeline and avoiding or reducing sudden invalidation accidents. With the deepening of the vulnerability research, the vulnerability evaluation is introduced in the filed of research of the science of disasters, the point of view of the safety evaluation is made to be wider, the content of the safety evaluation is made to be fuller, and the evaluation result has more practical value.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The invention discloses a convolutional-neural-network-based reference-free three-dimensional image quality evaluation method. The method comprises the following steps: carrying out pretreatment on a 2D image; to be specific, inputting an image block obtained by pretreatment into a deep convolutional neural network, carrying out convolutional pooling processing to obtain an advanced feature of the image block, and then carrying out BP training by using the neural network based on a mass fraction of an original image so as to obtain a parameter of a base model; obtaining a corresponding basic model according to the parameter of the base model, carrying out centering on a three-dimensional image and carrying out pretreatment identical with that of the 2D image on the left image and the right image, and inputting the image blocks at the same position into the basic module simultaneously to obtain a corresponding advanced feature vector; and carrying out testing under a LIVE 3D database. On the basis of the reference-free evaluation algorithm, a good result better that the existing quality evaluation result can be obtained.

The invention discloses a dam safety comprehensive evaluation method based on depth learning, and adopts a multi-level dam safety monitoring system for comprehensive safety evaluation. The method comprises the following steps: 1, in the step of dam safety monitoring measure point grading, according to dam engineering characteristics, the monitoring system is abstracted into a tree structure; 2, in the step of monitoring measure point data preprocessing, missing values are filled and obvious anomaly values are excluded for measure point data; 3, in the step of calculating and classifying measure point threshold, calculation is conducted on a measure point selection model, the measure point threshold is determined and measure points are classified; 4, in the step of constructing a convolution network for training and evaluation, the evaluation results of a dam and the monitoring system at all levels by professional monitors are obtained as a training set and a testing set, then the convolution neural network is trained based on the training set and the testing set, and finally the safety comprehensive evaluation for the dam is made.

The invention discloses a multisource information fusion method in an evidence high-conflict environment, which comprises the following steps of: determining the mutual support degree of evidences according to evidence distances, further calculating the relative discount factor of each evidence by taking a characteristic vector corresponding to the maximum characteristic value of a evidence support degree matrix pattern as a weighting vector of the evidence, wherein the evidence with the maximum weighing coefficient is a key evidence; and discounting each evidence information, and fusing the information of multisource sensor data by using the D-S (Dempster / Shafer) rule so as to increase the accuracy and precision of a monitoring proposition judgment under an evidence high-conflict status.The method can effectively eliminate the uncertainties of multisource information, increase the accuracy of information evaluation and overcome the limitation that correct evaluation results can not be acquired by using the traditional D-S evidence theory under the evidence high-conflict status, and has the advantages of simple algorithm, high convergence rate and the like.

Embodiments of the invention provide a comprehensive, automated system and method for evaluating the performance of individuals or entities employed by an organization, particularly useful in peer-profiling physician performance in multi-facility environments. Embodiments of the invention can dynamically compose a virtual peer or group of peers and perform peer-profiling on each individual or group of individuals to be evaluated. For example, a composite physician may be generated from system-wide and / or state-wide healthcare data as a benchmark against which a particular physician is profiled according to industry-standard measurements. The composite physician would have equivalent or similar job function(s) as well as patient population. The composite physician enables a comprehensive “apple to apple” comparison with the particular physician, giving meaning to and facilitating the usefulness of performance evaluation results.

The invention relates to a crop growth irrigation decision-making control system comprising a crop database, a soil database, a meteorological database, an irrigation volume database, and an achievement database. Crop parameter data from the crop database, soil parameter data from the soil database, and meteorological data from the meteorological database are initialized by a crop growth mathematical model of the decision-making control system; with combination of irrigation volume data from the irrigation volume database, the crop growth mathematical model carries out state calculation; the decision-making control system makes an irrigation decision based on the irrigation decision-making model; and the irrigation decision-making effect is fed back based on daily data output provided by the achievement database; and the irrigation decision is adjusted based on the evaluation result.

The invention provides a dynamic optimization based neural network flood warning device and a method. The device comprises an information processing unit, an information collection module, a GPS satellite positioning module, a GIS geographic information module, a wireless network module and a client, wherein the information collection module, the GPS satellite positioning module, the GIS geographic information module and the wireless network module are connected with the information processing unit, and the client is connected with the wireless network module. The information processing unit is used for carrying out data assimilation on matched information, assimilated data comprises historical information data and implementation information data, a network flood forecasting model is established by using the historical information data, the established network flood forecasting model is corrected by using implementation information so as to acquire a dynamic network flood forecasting model, and a disaster evaluation result is outputted by using the network flood forecasting model; and the wireless network module sends the disaster evaluation result to the client. According to the invention, mountain flood disaster analysis and judgment are carried out timely and accurately through the network flood forecasting model, thereby providing a reliable basis for making and selecting defense solutions in real time.

The invention provides a grading method for the cascade utilization of a power battery of an electric vehicle. The grading method comprises the following steps of: (1) performing external characteristic analysis on the cascade-utilized power battery, and judging whether the cascade utilization of the power battery can be realized or not; (2) primarily grading the battery on which the cascade utilization can be performed according to external characteristic parameters of the battery, and performing sampled internal characteristic analysis on the battery of each grade; (3) establishing incidence relations between internal and external characteristic parameters based on the internal and external characteristic analysis, and evaluating the health status of the battery; and (4) grading the cascade-utilized power battery by combining a health status evaluation result of the battery and the using conditions of the battery. By the grading method for the cascade utilization of the power battery of the electric vehicle, the performance of the battery not only can be ensured to meet the requirements of application occasions, but also can be fully utilized.

The invention discloses a high-speed rail large-scale bridge performance evaluation method based on health monitoring data, which relates to the field of bridge engineering detection. The high-speed rail large-scale bridge performance evaluation method comprises the steps of arranging an automatic sensor hardware equipment system on a high-speed rail bridge in an optimized manner, achieving automatic data acquisition, carrying out denoise processing, time domain statistical processing, frequency domain processing and the like on measured data in sequence, and evaluating bridge running safety performance based on the health monitoring data. The high-speed rail large-scale bridge performance evaluation method meets the actual requirements of high-speed rail bridge detection and evaluation, can reflect the running safety of the high-speed rail bridge accurately and timely, and provides important guarantee for the safe running of high-speed trains; the evaluation results obtained through adopting the method are unified with the high-speed rail conventional detection and evaluation results, thereby facilitating the actual application of the method for the bridge managers; and decision-making suggestions for targeted bridge maintenance and repair are made on the basis of the evaluation results obtained through adopting the method, thereby being conductive to implementing timely maintenance and dynamic maintenance, and greatly improving the bridge overhaul efficiency.

The invention discloses a classroom quality bi-directional evaluation system based on depth learning, which comprises a classroom terminal, a teacher terminal, an educational administration terminal,a student terminal and a cloud server. The teacher terminal collects, processes and sends classroom pictures and videos. The teacher terminal sends text information and images to the cloud server to release the job, notify the examination time and place, and receive and display the analysis results. The educational administration terminal receives and displays the basic information of each teacher's class, history teaching situation and students' learning situation; The student terminal receives and displays the notification of class assignment, the notification of examination time and place,the individual classroom performance and the teaching quality evaluation results of each teacher. Based on the received classroom pictures and frames, the cloud server uses the object detection model,face detection model and face segmentation model to analyze the attendance, the listening rate, classroom behaviors, classroom expression, classroom seating and feedback analysis results.

A transformer operating state comprehensive evaluation method based on on-line monitoring comprises the following steps that monitoring various state indexes of a transformer in an on-line mode and conducting quantitative processing; determining the weights of evaluation indexes by combining improved analytic hierarchy process and grey correlation analysis; evaluating the state of the transformer. According to the transformer operating state comprehensive evaluation method based on on-line monitoring, the state of the transformer is combined to evaluate correlation function operation and membership degree process of the indexes, a transformer state comprehensive evaluation model based on combination of combination weighting approach and a fuzzy grey element is established, various on-line detecting state information quantities can be synchronized, the operation state of the transformer can be effectively and accurately judged in a comprehensive mode, an evaluation result is intuitive, and the method is used for instructing practical overhaul arrangement work of the transformer.

The invention discloses a big data security analysis system based on massive network monitoring data. The system includes a data traffic monitoring module, a deep packet detection module, a data jointanalysis module, an anomaly detection module and a security evaluation module, wherein the data traffic monitoring module is used to monitor data traffic in real time, analyze applications, perform lossless collection on various system traffic data, and transmit the data to other modules; the deep packet detection module is used to judge the service types and application types by deeply reconstituting and analyzing the payload content of a seventh-layer packet and matching service characteristics, and performs analysis to obtain different application types; the data joint analysis module is used to perform data aggregation and study the state and association analysis to further remove redundant information in original data; the anomaly detection module is used to detect a data analysis result and judge whether the data is abnormal; and the security evaluation module is used to obtain a data evaluation result by combining the network situation based on the analysis and detection of other modules. According to the system, the real-time monitoring of network data and corresponding data security analysis can be implemented, and the data security and reliability can be improved.

The invention discloses a resolving power measuring device and a resolving power evaluation method for a three-generation dim light image intensifier, and belongs to the field of optical measurement and metering. The resolving power measuring device is characterized by consisting of a light source component, a resolving power target, a collimator tube, an imaging objective lens, a test camera obscura, a charge coupled device (CCD) camera and a computer. The resolving power evaluation method comprises the following steps of: imaging the resolving power target irradiated by a standard light source to a fluorescent screen by using a measured image intensifier; converting into a frame image of a target line by using the CCD camera, and transmitting into the computer; successively processing asingle frame image of the target line by using a normalized cross correlation model and an optical modulation degree model through internal image processing software of the computer to acquire a single frame processing result; and analyzing multi-frame processing results and performing corresponding supplement operation to acquire a final resolving power evaluation result. By the device and the method, the problem of objective evaluation during resolving power measurement of the three-generation dim light image intensifier is solved; and the device and the method can be popularized to other measurement fields such as an intensified charge coupled device (ICCD) measurement field and the like where resolving power is required to be objectively evaluated, and have wide application prospects.

An embodiment of the invention discloses a transformer state evaluation method and system. State quantity indexes are normalized to obtain the health degree of the state quantity indexes, the subjective weight of each state quantity index is determined by an analytic hierarchy process in a fuzzy comprehensive evaluation theory, an objective weight corresponding to each state quantity is obtained by an entropy weight method and used for correcting the subjective weight to obtain comprehensive weight parameters of each state quantity index, the connection degree of each state quantity index and state classification is obtained by the aid of connection degree in a set pair analysis theory, and finally, data of evaluation results of a hierarchical index set of each unit are integrated by the aid of D-S evidence theory fusion rules to obtain state evaluation results of each sub-unit. Whether a transformer needs maintenance or not can be determined according to the state evaluation results, so that blindness of planned maintenance is avoided, and human and material resources needed by maintenance for the transformer are reduced.

The invention discloses a method for comprehensively evaluating the electric energy quality by applying a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) of a grey correlation coefficient matrix, which comprises the following steps of: taking electric energy quality data at all time intervals and standard data at all grades as an original decision matrix; determining subjective weights through an improved AHP (Analytic Hierarchy Process); determining objective weights through an entropy method; establishing a least square method decision model to obtain a comprehensive weight, so that the deviation of decision results under the subjective weights and the objective weights of all indexes is the least; carrying out standardization and weighted standardization on the decision matrix and obtaining the grey correction coefficient matrix by utilizing the grey theory; taking the grey correction coefficient matrix as a decision matrix of the TOPSIS to obtain the distance between positive ideal solutions and negative ideal solutions of all schemes and the relative closeness of the positive ideal solutions and the negative ideal solutions; and comparing the electric energy quality closeness at all the time intervals with the standard closeness at all the electric energy quality grades to finally obtain the electric energy quality grades at all the time intervals. With the adoption of the method, the electric energy quality evaluation result can be objectively and reasonably obtained under the situation of poor information, so that the practicability and the feasibility are stronger.

The invention provides a power battery group consistency detection method and device and belongs to the technical field of power batteries. The power battery group consistency detection method comprises obtaining any one of the extreme voltage deviation and the extreme voltage relative deviation of every battery monomer and the voltage standard deviation of every battery monomer in the discharging process of a power battery group and performing comparison on a combination of any one or more than one of the extreme voltage deviation and the extreme voltage relative deviation of every battery monomer and a voltage standard value of every battery monomer and a threshold value so as to detect the consistency of the power battery group, wherein every battery monomer is arranged in the power battery group. According to the power battery group consistency detection method and device, any one of the extreme voltage deviation and the extreme voltage relative deviation of every battery monomer arranged in the power battery group and the voltage standard value of every battery monomer serve as parameters and accordingly the internal difference among batteries can be effectively expressed and the comparison is performed on the corresponding parameters and the threshold value so as to detect the consistency of the power battery group and accordingly the operation is simple and convenient, the detection process is stable and reliable, and the evaluation result is accurate.

The ratio between an image A and an image B is calculated as the comparison result of the images A and B obtained from a pair of optical images. The variance is then calculated in order to evaluate the statistical fluctuation of the ratio obtained for each pixel. The fluctuation due to the variance is evaluated for each phase difference while the phase between the image A and the image B is shifted. The phase difference detection is performed on the basis of the evaluation result of the fluctuation.

The invention discloses a method for evaluating voltage dip sensitivity of sensitive equipment, belonging to the field of electric measurement. A voltage dip frequency of a power grid in a time section and depth and duration time of each voltage dip are monitored at a measurement point so as to establish a small sample set of practical voltage dips of the power grid in the time section, and a final evaluation result depends on equipment fault rate caused by measuring the voltage dip each time, so that influence degree of running conditions of the power grid in the time section on the sensitive equipment is really reflected, and influence of the voltage dips caused by various short-circuit faults in the power grids with different structures on the sensitive equipment can be reflected, so that related departments is guided to take more reasonable control measures or providing a basis for calculating economic loss caused by the voltage dips. Therefore, the method can be widely applied to the field of power supply quality control and management of the power grid.