337 results about "Scoring methods" patented technology

A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.

The present invention relates among other things to methods for scoring one or more biomarkers in or associated with a test sample and determining a subject's risk of developing a medical condition.

Methods and systems are presented for a fraud risk score to be given to a merchant for a proposed transaction with a consumer. The fraud risk score is generated by a payment account service provider, such as a credit card processor, using information from a pending transaction as well as information from other payment accounts that the consumer holds to which the payment account service provider is privy. Various factors, including indicators of elevated risk in other payment accounts, are custom-weighted by the merchant for the score.

Methods for providing a privacy setting for a target user in a social network utilizing an electronic computing device are presented, the method including: causing the electronic computing device to retrieve a current privacy setting for a common profile item, where the common profile item corresponds with the target user and each of a number of users, and where the common profile item is one of a number of common profile items; causing the electronic computing device to calculate a common profile item sensitivity value for the common profile item based on the current privacy setting; causing the electronic computing device to calculate a common profile item visibility value for the common profile item based on the a current privacy setting and the sensitivity value for the common profile item; and causing the electronic computing device to calculate the privacy score of the target user.

The invention relates to the field of computer-based education, and provides a full-automatic oral language evaluating management and scoring system. The full-automatic oral language evaluating management and scoring system comprises a client, a landing server and a network sever which are connected in sequence, and the answer results of an examinee comprise an oral language evaluating result of reading questions or an oral language evaluating result of spontaneous oral language expression questions. The landing server comprises a scoring device which comprises an identification module and a scoring module, wherein the identification module comprises an acoustic sub-module, a linguistic sub-module and an identification sub-module, the scoring module comprises a feature extraction sub-module and a scoring sub-module. The invention further provides a full-automatic oral language evaluating management and scoring method. According to the full-automatic oral language evaluating management and scoring system and the full-automatic oral language evaluating management and scoring method, the preparing answering time and the answering time of the examinee can be fully controlled by a computer, are free of manual interference and are more accurate than manual timing, and therefore the fairness of evaluation is further guaranteed.

The invention provides a composition scoring method based on an attention mechanism; the method comprises: using a neural network attention frame of word-sentence-document trilayer structure in a composition scoring system, using artificially extracted features to perform fusing in sentence and document levels of the frame, and setting attention weights of the sentence and document levels. The influences of factors, such as local features and global features of a language, completeness of sentences, accuracy of word usage, diversity of expressions, coherency of sentences and digressing or zero digressing from the subject, upon a scoring task are comprehensively considered herein, and composition scoring effect is maximally improved.

In one aspect of the present invention, page breaks are identified in the following manner. A set of ink data and a document description are processed by a variety of scoring methods, each of which generates a score for each possible insertion point in the ink. These scores are combined to produce a ranked list of hypothesized page breaks for the corresponding ink data. This ranked list is then used either to insert page breaks automatically using a predefined threshold to determine a cut-off in the list; or to present, on-line, to a human for verification / approval; or a mixture of the two based on two thresholds: one for automatic insertion and the other for human verification. It is to be understood not all scoring methods need be used, that is, one or more of the scoring methods may be used as needed.

The invention provides equipment failure early-warning system and method. The equipment failure early-warning system has reliable operation, high performance-price ratio and visual interface, can transmit accurate equipment failure early-warning signals in advance and has failure type self-learning function. The equipment failure early-warning method comprises the following steps of: arranging proper types of sensors on proper positions of equipment to collect the parameters, such as bearing temperature, pressure, body vibration waveform, current variation waveform, and the like of the equipment; digitizing signals collected by the sensors by adopting a low-speed data collecting module and a high-speed data collecting module; developing specific computer software to process, store and analyze the various kinds of collected data; realizing the timely time-domain frequency-domain exchange and analysis of the waveforms, such as vibration, electric current, and the like by the software by using the mathematical methods of Fourier transformation, Wigner-Ville distribution, Hilbert-Huang transform, wavelet analysis, and the like; evaluating the various detected parameters by using a scoring method of an established file; and discovering and diagnosing the early exception of the equipment, thereby early warning the equipment failure. The equipment failure early-warning system adopts a modularized framework and comprises four modules of a sensor module, a data collecting module, a data processing module and a self-learning intelligent early-warning platform, the four modules are connected by a data transmission network, and a detection mode can adopt an on-line monitoring mode and a portable point detection mode.

A feed combine is provided which receives a feed including content from at least one data source. One of a plurality of scoring methods is selected for scoring the content in the feed based on a velocity of the feed. A determination is made as to which content in the feed is appropriate for display by producing a score using the selected scoring method. The scoring method uses a plurality of weighted scoring factors which alter the score based on whether the content includes objectionable material determined in accordance with user-defined criteria. A determination is made as to whether content is to be rendered on at least one rendering device based on a score assigned to the content.

The invention discloses a traffic jam event automatic detecting method based on videos. The method includes steps that (1) real-time traffic parameter information of monitoring points is obtained based on a video detecting device, the parameter information is transmitted to a background server to store in a real-time mode; (2) obliterated data are identified, abnormal data are filtered, and data normalization processing is implemented by using a z-score method; (3) historical data are extracted to conduct clustering analysis by using a automatic detecting processing device, road traffic state foundation clustering centers are generated by utilizing a clustering analysis method; (4) euclidean distances to each clustering center are calculated according to the real-time traffic information, a present traffic jam event is automatically judged, and processed data are released through a release terminal device; (5) the clustering centers of each traffic state are recalculated, iteration is repeated, and traffic jam event automatic detection is achieved. The traffic jam event automatic detecting method based on the videos is mainly used for collecting traffic information, reduces cost of traffic information collection and improves veracity and response speed of the traffic jam event automatic detecting.

The invention relates to a scoring method of information retrieval documents based on viewpoint retrieval, which belongs to the field of information processing. The method is characterized in that: an emotion word list is firstly established; all emotion words used in a retrieval system are specified in the list; a candidate result set is generated according to an inquiry input by a user; secondly, the relativity between the documents and the inquiry of the user is calculated in the system for obtaining the relativity score of each document; according to the times of the emotion words appearing in the documents together with an inquiry word within a certain distance, the subjective and objective scores of each document in the system are calculated; the relativity score and the subjective and objective scores of one document are merged on the basis of a quadratic function (namely, multiplying), therefore, a merged final score of the document is obtained; finally, the retrieval system ranks all candidate documents in the system according to the final scores of the documents and displays the documents to the user according to scores in a sequence from the largest to the smallest. The technology has the advantages that a computer can finish the technology automatically and the retrieval results with high relativity and strong subjective opinions can be returned.

The invention relates to an enterprise scoring method and system based on multiple dimensions. The method comprises the steps that to-be-evaluated enterprise information is acquired to serve as original data; standard data understanding and cleaning are performed on the original data, and primarily-processed data is acquired; structured processing is performed on the primarily-processed data, andstructured data is acquired; the structured data is subjected to statistical analysis, and a multi-dimensional enterprise evaluation data index system is acquired; a plurality of dimensions of enterprise comprehensive evaluation are acquired according to combination application of data indexes by the multi-dimensional enterprise evaluation data index system; and comprehensive scoring is performedon the enterprise according to the dimensions of enterprise comprehensive evaluation. Through the enterprise scoring method and system, the problems that traditional enterprise scoring methods must rely on true financial data of the enterprise, and the true financial data cannot be acquired are solved, a complete and dynamic score trend is displayed to a user, the user can understand the history and reality of the enterprise and look forward to the future of the enterprise more deeply, and the true level of the enterprise is reflected more objectively and comprehensively.

The invention discloses a method for building a mountainous area surface temperature base line and application, and relates to the measurement and application of mountainous area surface temperature base lines. A transient temperature field distributed continuously in MODIS thermal infrared remote sensing image inversion spaces is combined with longitude and latitude raster data to build the annual average temperature linear estimation model of a weather station as the calibration model of the transient surface temperature field. The model corrects the transient temperature field to obtain the mountainous area surface temperature base line. In YunnanProvince with the mountain landform as the main landform, the temperature base line with a 90m*90m grid as a unit is built, the temperature distribution characteristics and rules of the area are reflected, and the average temperature base line value of a 90m*90m land parcel can be found out in a quantitative mode. The temperature base line is used as basic data to be combined with an expert scoring method to respectively build a Yunnan Province pine wilt disease occurrence risk pre-warning model and a Yunnan Province forest fire danger long-term forecast model.

Provided are a vehicle networking device, a server and a vehicle networking system and an association method. The vehicle networking device comprises a connecting part configured for being connected to an OBD port in a vehicle, a data collection part configured for collecting data about motor vehicles concerned with actual driving behaviors, a wireless communication part capable of being operated to be in wireless communication with a remote server so as to send vehicle data to the remote server, wherein the data include data about electric appliance systems, engine systems, vehicle bodies and chassis. A type range of the data acquired by the vehicle networking device is not limited to data about the vehicle engine systems and covers the data about the electric appliance systems, the engine systems, the vehicle bodies and the chassis, accordingly actual driving behaviors of drivers, including special driving behaviors and habits reasonably showing the drivers, can be reflected comprehensively.

The invention discloses an automatic subjective-question scoring system and method based on a semantic similarity interval. The automatic subjective-question scoring method based on the semantic similarity interval comprises the following steps that the score S<total> of a question to be scored is initialized; the block length L is defined; a reference answer is segmented into a plurality of blocks with the lengths being not larger than L, and a reference answer block set R is formed; an answer to be scored is segmented into a plurality of blocks with the lengths being not larger than L, and a block set T of the answer to be scored is formed; the set R and the set T are compared, and the semantic similarity S<RT> of the set R and the set T is worked out; the S<RT> is mapped into the similarity interval, a score is recorded as S<final>, and scoring is finished. The automatic subjective-question scoring system based on the semantic similarity interval comprises an answer terminal, a subjective-question paper inspection module and an examination result generating module. According to the automatic subjective-question scoring system and method based on the semantic similarity interval, as for automatic paper inspection and scoring links of subjective questions, grading can be conducted on answers to the subjective questions according to semantic similarity threshold values, and therefore final scores can be given through score restriction and similarity scoring of all grades.

This invention relates generally to the personal finance and banking field, and more particularly to the field of credit scoring methods and systems. Preferred embodiments of the present invention provide systems and methods for building and validating a credit scoring function based on a creditor's target information from non-traditional sources using specific algorithms.

The invention belongs to the education and teaching examination technical field and relates to a subjective question checking and scoring method, a subjective question checking and scoring device and a terminal device. The method includes the following steps that: a current subjective question to be scored is determined; a to-be-scored answer to the subjective question is scanned and identified, so that an identified text is obtained; first words which are in semantic matching with preset keywords are searched in the identified text, and preset corresponding relations exist between the keywords and score points in a standard answer to the subjective question; the semantic matching degrees of the first words which are obtained through search relative to the corresponding keywords are calculated; and the score of the to-be-scored answer is obtained according to the preset scores of the keywords corresponding to the first words and the semantic matching degrees of the first words. With the subjective question checking and scoring method, the subjective question checking and scoring device and the terminal device of the invention adopted, processes which workers are required to be participate can be decreased, labor costs can be reduced, and the efficiency of test paper checking and scoring is improved.

The invention relates to a scoring method and system for quality inspection voice of a call center. The method comprises the following steps: acquiring the quality inspection voice with a text format of the call center; comparing the quality inspection voice with preset characters, and detecting whether the quality inspection voice includes the characters or not; scoring the quality inspection voice according to a value corresponding to a detection result to obtain a first score of the quality inspection voice. A quality inspection system comprises a quality inspection voice acquiring module for acquiring the quality inspection voice with the text format of the call center, a quality inspection voice detection module for comparing the quality inspection voice with the preset characters, and detecting whether the quality inspection voice includes the characters or not, and a quality inspection voice scoring module for scoring the quality inspection voice according to the value corresponding to a detection result to obtain the first score of the quality inspection voice. According to the scoring method and the scoring system for the quality inspection voice of the call center, the labor cost is effectively reduced, and the quality inspection efficiency is improved.

The invention provides an automatic sleep stage classification method based on dual character filtering. The stage classification method comprises steps of firstly extracting a two-guidance sleep electroencephalogram signal and an one-guidance horizontal electrooculogram signal; performing filtering for the original electroencephalogram signals and electrooculogram signal; extracting multiple characters from the filtered electroencephalogram signals and the filtered electrooculogram signal; selecting the optimal character subsets by use of a dual character filtering method combining the Fisher score method and the sequential forward selection method. Via the dual characteristic filtering method, character dimension is greatly reduced and redundancy among the characters is reduced. At last, a support vector machine classifier is used for identifying the optimal characters, so automatic stage classification of sleep is finished. According to the invention, objectivity, precision and convenience of automatic sleep stage classification can be well increased; the automatic sleep stage classification method is characterized by high precision, low calculation complexity, simple operation and easy popularization; and considerable social and economic benefit can be gained.

The invention discloses a beef marbling grade scoring method and a device, aiming at solving the problem that the manual scoring method has large subjectivity and arbitrariness. The method comprises the following steps: intaking a cross section image of cattle eye muscle; segmenting the eye muscle region on the cross section of the cattle eye muscle; extracting the marbling in the eye region and scoring on the grade of the marbling in the eye muscle, wherein, the grade scoring of the marbling in the eye region comprises that an index system of the grade scoring of the beef marbling and the grade scoring of the marbling in the eye region are established and four parameters of area density Sd and number N, distribution coefficient CVr and size uniformity CVs of the marbling are selected as scoring indexes. The invention also provides a beef marbling grade scoring device comprising a light source, an image acquisition card, a main control computer, a data acquisition card, a camera and a photoelectric sensor; and the beef marbling grade scoring method and the device are used for productive enterprises and inspection departments.

The invention discloses a setting method for an abnormal data determination threshold in a steady-state power quality early-warning mechanism. The setting method comprises the first step of establishing a steady-state power quality early-warning indicator system, the second step of performing data acquisition, the third step of performing data preprocessing, wherein data processing comprises the steps of denoising and performing missing value processing and standardizing, the fourth step of setting a subjective threshold by using the expert scoring method according to a threshold setting experience interval, the fifth step of setting an objective threshold by combining and considering the Otsu method for cohesiveness based on the clustering analysis method, and the sixth step of determining a final threshold by using the linear combination weighting method. By utilizing the mode that the subjective assignment and the objective assignment are combined, reasonable setting can be performed on the abnormal data determination threshold in the steady-state power quality early-warning mechanism according to the setting method.

The present invention discloses a scoring method for games like singing, comprising the following steps: step 1, acquiring player's audio input by using a audio analyzer and converting it to player's singing information including pitch, volume and rhythm; step 2, real-time matching singing information with song NOTE information by a score calculator and get a system score according to difficulties; step 3, adding or reducing score through casting props to singer by audience, and calculating and managing the props for score by a score manager; step 4, adding the props score calculated by score manager with system score calculated by score calculator to get a final score after singing. Besides, the present invention also discloses a score system for games like singing. Singers can not only learn their singing level objectively but also how many people like their singing objectively bringing in enough sense of achievement.

The invention discloses an assessment system for school teaching quality based on big data and relates to the field of teaching quality assessment. The assessment system comprises a big data collecting module, a big data transmission module, a big data analyzing module, a scoring module and a cloud database, wherein the big data collecting module comprises a lesson data collecting unit, an examination data collecting unit, a practice data collecting unit, an employment data collecting unit and a feedback data collecting unit. All the collecting units of the assessment system comprehensively collect a large amount of data participating into the assessment at the aspects of lesson, examination, practice, employment and feedback; various scoring methods are adopted for scoring the teaching quality, so that the accuracy of the assessment result for the school teaching quality is increased; the feedback evaluations and evaluation certificates of the students, parents, graduates and graduateemployers are audited; the evaluation type is complete; the false evaluation is avoided and the accuracy of the assessment result for the teaching quality is increased through the strict certificateaudit.

The invention relates to a Chinese multi-keyword fuzzy sort encryption text search method based on local sensitive hash. After Chinese keywords are converted into the corresponding Chinese phonetic alphabet strings, the Chinese phonetic alphabet strings are segmented based on consonants, vowels, tones, and unigram; a vector generation algorithm of three types of Chinese keywords is designed, the Chinese phonetic alphabet strings are mapped to keyword vector; fuzzy matching of keywords is achieved by utilizing the attributes of locally sensitive hash and bloom filters. The encryption index of the document adopts the method of one document corresponding only to one bloom filter, at the addition of a new document (or the deletion of an old document), the encryption index of an original data set does not need to be changed, only the encryption index of the new document needs to be built (or the encryption index of the old document is deleted), and dynamic updating of the document can be achieved. A domain weighted scoring method is introduced into the method in order to improve the accuracy of the sort results, the Euclidean distance between the keyword vectors, the weight of keyword frequency and domain weighted scoring are combined, more accurate three-factor sorting is achieved, and documents which meet user needs more are returned.

The invention discloses an embedded wireless automatic scoring system and a scoring method thereof. The embedded wireless automatic scoring system comprises an image collecting and processing system in the target position and automatic scoring system in the position of a shooter. The mage collecting and processing system comprises a target sheet automatic control system that can automatically install target sheets and rotate target surfaces, as well as an image collecting and processing system that can collect and process target surface information. The image collecting and processing system is connected to the output end of the target sheet automatic control system. The scoring system in the position of the shooter comprises a user interactive system which is in the position of the shooter and can communicate with corresponding image collecting and processing system in the target position, and a score statistical system which is in the position of a referee and can communicate with all image collecting and processing systems in the target position. The image collecting and processing system in the target position communicates with the scoring system in the position of the shooter by means of a wireless transmission system. The embedded wireless automatic scoring system is capable of processing images in the target position so as to reduce the cost and meets the demand of most shooting programs through a wireless transmission technology. Besides, the embedded wireless automatic scoring system has the advantages of high precision, excellent indentifying capability, small size, etc.

The invention discloses a scoring method for driving behavior based on Beidou navigation and relates to the technical field of devices or methods for determining the speed or overspeed. The method comprises the following steps: firstly, a cloud server acquires status information of vehicle-mounted navigation equipment through a wireless network; secondly, the cloud server processes the acquired status information of the vehicle-mounted navigation equipment to obtain status information of a vehicle; thirdly, the cloud server comprehensively processes the status information of the vehicle and giving out the scoring for the driving behavior. According to the method, as long as the vehicle is equipped with the Beidou navigation equipment, the computation on the cloud server and the evaluating and the scoring for the driving behavior of a vehicle owner are realized. Compared with the traditional method, the scoring method has the characteristics of high simplicity for data acquisition, low cost, and high simplicity for data processing, and has a better popularization and application prospect.