528results about How to "Improve assessment accuracy" patented technology

The invention provides methods for assessing one or more predetermined characteristics or properties of a microfluidic droplet within a microfluidic channel, and regulating one or more fluid flow rates within that channel to selectively alter the predetermined microdroplet characteristic or property using a feedback control.

The invention discloses an online cognitive assessment system and an assessment method, and belongs to the field of assessment systems. The online cognitive assessment system comprises a terminal platform, wherein the terminal platform comprises a processor module, a power supply module, a man-machine interaction module, a communication module, a recording module, an assessment module, a storage module, a calculation module and an output module; the power supply module, the man-machine interaction module, the communication module, the recording module, the assessment module, the storage module, the calculation module and the output module are connected with the processor module respectively. Online cognitive diagnosis is carried out through reading and processing information of each module. By adopting the online cognitive assessment system and the assessment method, rapid and accurate assessment and good accuracy can be realized, and information is updated in real time.

The invention relates to a method for extracting and fusing time, frequency and space domain multi-parameter electroencephalogram characters, which comprises the following steps: 1) collecting an electroencephalogram signal; 2) performing data pre-processing on the electroencephalogram signal; 3) extracting Kc complexity, approximate entropy and wavelet entropy from the pre-processed data; 4) on the basis of AMUSE algorithm, acquiring an electroencephalogram singular value decomposition matrix parameter; 5) performing character selection on the time, frequency and space domain character parameters for the extracted Kc complexity, approximate entropy, wavelet entropy and electroencephalogram singular value decomposition matrix parameters; 6) utilizing a SVM classifier to fuse and classify the four parameters of the time, frequency and space domains after the character selection. According to the method provided by the invention, the Kc complexity, the approximate entropy, the wavelet entropy and the electroencephalogram singular value decomposition matrix parameter can be selected for comprehensively presenting electroencephalogram character information, and then subsequent effective fusion is performed, so that effective support and help can be supplied to early diagnosis assessment for the brain functional disordered diseases, such as, Alzheimer disease, mild cognitive impairment, and the like.

A patent evaluating device comprises a data acquiring section (105) for acquiring items of patent data and patent attribute information on each item of patent data in a predetermined technical field from a patent database, a data classifying section (115) for classifying the acquired items of patent data into groups within a predetermined period of time, and an evaluation value calculating section (120) for calculating the evaluation value of each item of the patent data by using the patent attribute information on each of the patent data belonging to each group and by using the value determined for each group. With this, the value of a patent application or a patent right is adequately evaluated according to numerical information objectively determined and according to the progress information of the patent application or the patent right or the content information.

The invention provides a network security evaluation device based on an attack graph adjacent matrix. The network security evaluation device comprises an information collection device, an atom attack graph generation device, a matrix calculation device, a network safety analyzing device and a result appearing device, wherein the information collection device is used for collecting all information in a network; the atom attack graph generation device is used for generating an initial atom attack graph between a main engine pair needed for carrying out subsequent analysis on network safety; the matrix calculation device is used for converting the generated atom attack graph into the corresponding adjacent matrix and is also used for calculating a corresponding iteration matrix of the adjacent matrix through setting iteration times; the network safety analyzing device is used for obtaining information including a key main engine, a key path and the like on the basis of the finally-generated iteration matrix; the result appearing device is used for visually appearing the found key main engine and key path and a network vulnerability index. The network security evaluation device disclosed by the invention is high in efficiency and is suitable for large-scale and high-speed networks. The network security evaluation device can improve the instantaneity of evaluating a target network. The evaluation accuracy rate is high, and the key path and the key main engine can be accurately recognized. The visualization degree is high so that the network security evaluation device is convenient for a manager to check, analyze and maintain.

The invention relates to a CRISPR/Cas9-based sgRNA design method. The method is characterized by comprising the following steps of obtaining the value of enzyme digestion efficiency of sgRNA and corresponding Cas9; building a personalized sgRNA design model; measuring the quality of the built personalized sgRNA design model by applying an NDCG algorithm and updating a database; and designing sgRNA and giving out an assessment value of each sgRNA. Compared with the prior art, the method has the characteristics of high accuracy, complete characteristics, wide application range and wide data analysis range.

The invention relates to a method of detecting the quality of a network video through network damage degree, wherein the method reflects the influence degree of network damage effecting the quality of the video according to specific frame sequence type, frame rate, packing condition, frame packet loss rate, namely a rate of a single-frame losing a qualified pockets which obtained according to the network video and corresponding impairment grade of the frame pocket loss rate, and obtains the quality of network video according to an original video quality Q0 and the relation of the influence degree of damaging network and the network video quality (Q); the original video quality and the network video quality are both adopt the same quantification evaluation criteria measurement. Compared with the prior art, the invention has the advantages of considering the different type of frame packet loss has different effect to the video quality and the condition of different impairment grade of the video quality which effects by the different number pocket of a frame losing, thereby the invention has the advantages of low cost of resource develop, good real-time performance, higher estimation accuracy and which can be especially applied for internet service providers or operation businesses to estimate the quality of real-time transmission video.

The invention relates to an AADL (architecture analysis and design language) model extension based software system security verification and assessment method, which is provided in order to overcome defect of difficulty in direct processing of system models, high computation cost and high redundancy in computation in existing AADL model based verification and assessment. The method includes: establishing relationship between risk factors and an AADL architecture model to form a mechanism generating model; extracting model elements, generating a time state fault tree, a hardware software impactanalysis tree and a common cause time-dependent analysis tree according to the model elements, and backstepping a risk generation route according to the tree structure from bottom to top; setting physical resource properties and capacity of each physical device; calculating the failure probability of each physical device according to labeled risk factor probability of each physical device; converting an AADL security model into a timed automata; calling a formal verification tool UPPAAL for analysis and verification of the timed automata. The method is applicable to security assessment of software and hardware systems.

The invention relates to a method for determining a geometrical object for modeling the geometry of a metal sheet forming stage (1) in a CAD system. According to said method, an operator is defined which links a first geometrical model with a second geometrical model. The link is associated with a method for physically modeling a treating process which transfers a forming stage (1) from a corresponding first state into a second state. When the first geometrical model is modified, the second geometrical model is automatically updated in accordance with the physical modeling concept. The physical modeling concept for forming stages is thereby integrated into the static geometrical model environment of a CAD system. The physical modeling method is a method for calculating a border line (3) of a forming stage in an initial state prior to a forming process from a geometry of the border line (3) in a resulting state after the forming process.

The invention discloses an assessment method and system for the health state of industrial equipment, equipment and a storage medium. The assessment method comprises the steps of acquiring historicaloperation parameter data collected by a sensor in the industrial equipment within a historical set time period and historical operation code data corresponding to operation; establishing a parameter prediction model; obtaining a parameter prediction value corresponding to the target sensor according to the parameter prediction model; and assessing the health state of the industrial equipment in the target set time period according to the target operation parameter data and the parameter predicted value. Based on the historical operation parameter data of each sensor in the industrial equipmentand the discrete historical operation code data corresponding to the executed operation, a prediction model used for predicting parameters output by any target sensor is established, and then the health state of the industrial equipment is evaluated according to the residual error between an output parameter predicted value predicted by the model and an actual output value, so that the evaluationaccuracy of the health state of the industrial equipment is improved.

The invention provides a concrete strength evaluation method which comprises the following steps: fitting the relationship between the strength and the age of a concrete test cube under the standard curing condition; carrying temperature match curing on the concrete test cube by simulating the temperature procedure of construction site concrete, and actually measuring the actual strengths of the concrete at multiple test ages; calculating equivalent ages according to the test ages by combining assumed activation energy parameter values in the pilot calculation process, and substituting the equivalent ages into the fit relationship between the strength and the age to obtain calculated strength values; using a least square method to calculating the error between the actual strengths and thecalculated strengths, and carrying out regression analysis to obtain the activation energy parameter value which enables the error to be the minimum; and calculating the strength value of the construction site concrete based on the fit relationship according to the activation energy parameter value and temperature monitoring data of the construction site concrete. Strength evaluation in the method takes individual characteristics and operating environments of materials into account, thereby improving the universality.

A content evaluation device includes: extraction means (11) for extracting a feature amount quantitatively characterizing a content for each of contents; interpolation means (22) for interpolating distribution of feature amounts associated with contents having a history affirmatively or negatively evaluated for one search word among the contents; and creation means (24) for creating a score curve for correlating a score to a feature amount. The content evaluation device further includes calculation means (25) for calculating a score according to the score curve thus created. This enables evaluation of matching degree.

The invention discloses a power grid lightening disaster risk assessment technique method based on fine grid blocks. The power grid lightening disaster risk assessment technique method is used for analyzing vulnerability of the power grid encountered with lightening disaster under the condition that the earth fine grid blocks serve as basic evaluation units. The method comprises the following steps: (1) correlation coefficient of land types and cloud-to-ground lightening density is analyzed and confirmed so as to conduct significance testing according to the land types; (2) correlation coefficient of climate background and the cloud-to-ground lightening density is confirmed so as to conduct significance testing; (3) weight of lightening disaster risk indicators is confirmed by adopting a gray relational degree method; (4) quantization is conducted to the weight of lightening disaster risk indicators; and (5) a power grid lightening disaster risk assessment model is built under the condition that the earth fine grid blocks serve as the basic evaluation units. According to the power grid lightening disaster risk assessment technique method based on the fine grid blocks, a fine space quantization geographic information system (GIS) model of power grid vulnerability in lightening disaster is built, the power grid lightening disaster risk assessment model is proposed, space quantization researching of the power grid vulnerability in lightening disaster is conducted under the condition that the earth fine grid blocks serve as the basic evaluation units, and the power grid lightening disaster risk assessment technique method is wide in application range and high in accuracy.

The invention provides a dynamic video scene changing method and system and an experience quality detection method and system. The dynamic video scene changing method includes the following steps that a current frame of a dynamic video image is obtained in real time, and a scene changing characteristic parameter ti (n) of the current frame is calculated; according to a dynamic threshold (n) corresponding to the current frame is calculated according to scene changing parameters of a frame or multiple frames before the dynamic video image; whether the scene changing characteristic parameter ti (n) of the current frame is smaller than or equal to the dynamic threshold corresponding to the current frame or not is judged, if yes, the current frame is not the a scene changing frame, and if not, the current frame is the scene changing frame. According to the dynamic video scene changing method and system and the experience quality detection method and system, the transmitted current video frame can be intercepted in time in a transmission process of a network video stream; comparison between the parameter of the current video frame and the parameters, early intercepted, of the frame or the frames can be performed in real time so as to judge changing of a scene. The dynamic video scene changing method and system and the experience quality detection method and system can be widely applied to the field of video experiencing quality assessment and the field of detection of all the other images.

The invention relates to a method for assessing the risk and the reliability of a power distribution network. The method includes the following steps: obtaining a model and measurement data of the power distribution network; obtaining a model and measurement data of a power transmission network; carrying out probability calculation on elements, and determining a probability value; carrying out static safety analysis, and giving an out-of-limiting device and a power-off device; carrying out conversion to obtain the load shedding amount for the out-of-limiting device according to the sensitivity; carrying out power-off risk calculation and reliability index calculation; when calculation data are research data, comparing the research data calculation result with a latest real-time data calculation result, and giving an alarm when the risk of the research calculation result is larger than that of the real-time calculation result. The method has the advantages that by means of the technical scheme, calculation of the research data is increased, when overhauling information, load information and running states are changed, the outage risk is compared, and the assessment accuracy and the decision making accuracy are improved.

The invention provides a multi-dimension cerebral stroke prevention screening method based on artificial intelligence. The method includes: S1, transmitting the collected three dimensional data of cerebral stroke to a cloud computing service platform through network to establish a cerebral stroke case database; S2, according to the established cerebral stroke case database, constructing a cerebralstroke prevention screening AI algorithm model, according to the actual incidence status of the cerebral stroke cases, verifying the cerebral stroke prevention screening AI algorithm model; S3, inputting the related data in the three dimensional data of cerebral stroke into a report output device, and according to the prevention screening AI algorithm model, outputting the cerebral stroke prevention screening report. By means of the method, risk control can be carried out on the cerebral stroke prevention screening objects and doctors, thus achieving whole-life-period management on the cerebral stroke prevention. The method has the advantages of preventing future possible risk, reducing the incidence rate of the cerebral stroke and relieving social burden.

The embodiment of the invention provides a coverage evaluation method and device. The method comprises the following steps: determining a grid to which each sampling point belongs in a plurality of pre-divided grids corresponding to a target area; for each grid, determining a main signal cell and an auxiliary signal cell of the grid according to the signal intensity of the serving cell and the interference neighbor cell of each sampling point in the grid; and for each grid, evaluating the coverage attribute of the grid according to the signal intensity of the main signal cell and the number ofthe auxiliary signal cells of the grid. According to the scheme provided by the embodiment of the invention, the coverage attribute in the overlapping coverage area can be evaluated, and the evaluation accuracy is improved.

The invention provides a picture for testing shooting die set. The picture is quadrate and comprises a white squares which have the same size and are distributed at intervals; one white square is positioned in the center of the picture, and other white squares are uniformly arranged around the center of the picture; each white square is surrounded with a black area. According to the picture, the shooting die set is used for shooting the image to obtain an image; a plurality of selecting square frames are selected for the image; two ends of each sampling square frame are positioned in the black area, and the middle is positioned in the white square, so that the plurality of sampling square frames are the black-white-black graphics; the MTF value of pixel points in the sampling square frames can be calculated according to the black-white-black graphics; if the MTF value is close to 1, the performance of the tested shooting die set is high; the central area of the picture can be selected through the sampling square frame; the selected sampling square frames are not purely white and can be used for sampling determining, so that the evaluation accuracy of the whole image quality can be improved. The invention further provides a method for testing the shooting die set.

A plurality of sets of volume data, each of which represent the state of a beating heart in different phases, are obtained. Coronary artery regions are extracted from at least two sets of volume data from among the obtained sets of volume data. A plurality of analysis points are set in each extracted coronary artery region. Correlations are established among analysis points set at the same anatomical positions within the coronary artery regions. Index values that indicate the character of plaque are calculated at each analysis point within all of the coronary artery regions. The character of plaque is evaluated at positions within the coronary artery regions, by integrating the index values calculated at the analysis points corresponding to each of the positions. The evaluation results regarding the character of plaque at each of the positions within the coronary artery regions are output, correlated with information regarding the positions.

The invention discloses a virtual reality technology-based prisoner post-release education simulation method. All kinds of social scenes that a prisoner need to adapt to before returning to society are simulated and constructed in a virtual three dimension space, and an immersive type multimedia interaction system which includes a head-mounted display device, a computer, simulation software, control device and the like is used; the prisoner can experience social activities such as bankcard application, subway riding, social security application and the like in an immersive manner in simulation scenes including banks, subways, social security centers and the like; the prisoner can learn to grasp survival skills and employment skills that are required after being out of prison, skill assessment can be carried out via a marking system and therefore the prison can improve their skills gradually and accordingly; the prison who is to be released upon completion of a sentence can be well integrated into the society. Compared with a conventional prison post-release education method, the virtual reality technology-based prisoner post-release education simulation method put forward in the invention can let a user in a closed prison environment be immersed in a close-to-real virtual social environment, immersive learning experience can be obtained, and a goal of post-release education can be well attained.

The invention relates to the field of communication and discloses an evaluation method and a device of the 3rd generation telecommunication (3G) network coverage. The evaluation method and the device of the 3G network coverage are used for improving evaluation accuracy of the 3G network coverage. The evaluation method is that after a 3G server judges that a 3G network is switched to the 2nd generation telecommunication (2G) network by a user, user coverage situation after being switched is imitated according to a call duration of the 3G user in a target 2G residential area, number of 3G residential areas close to the target 2G residential area and the like, coverage situation of the 3G residential areas close to the target 2G is evaluated according to an imitation result, and therefore actual feedback of areas where depth of the 3G network coverage is not enough is possible, evaluation accuracy of the 3G network coverage is improved, and following construction of the 3G network is provided with more sufficient foundations.