561 results about "Score method" 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.

A method for calculating probability distributions and probability scores associated with a consumer credit score is disclosed. The probability scores may comprise a bureau volatility score, and bureau error score, and / or a multi-bureau variability score.

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.

An SYNTAX automatic scoring method based on coronary angiogram image segmentation segments and extracts a coronary arterial tree and central line based on coronary angiogram images of a patient and employs a blood vessel side branch separation, reconnection and K main curve method, and generates a binary image of the coronary arterial tree The blood vessel segment numbers are automatically matched based on the SYNTAX scoring standard by employing a central line direction tracking method, and coronary artery pathological changes and adverse characteristics are identified and scored by selecting a coronary left (right) advantageous type in combination with the width attenuation degree of the cross section of the blood vessel and the curvature change of the center line, and the scores are calculated to give a reasonable score result to allow a doctor to employ optimal operation scheme. The method overcomes the problems of great computation amount, tedious calculating steps, complex scoring standard and long calculating time of artificial calculating SYNTAX scoring in conventional clinics.

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.

An optimization engine allows website publishers and other network document publishers to view and navigate statistics and scoring methodologies of a search engine. Publishers may thus gain a better understanding of how their website or network document is scored and how to optimize those documents to increase a search engine score. The user is thus able to navigate the network from the perspective of a search engine, viewing webpages, websites, and links in the same way a search engine would analyze them. Upon making changes to a website or network document, publishers may further request on-demand re-crawling of their website or network document to view changes in the score. Alerts may also be activated by a user to notify the user when certain conditions are met.

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.

A system for grading the cut of a diamond utilizes a number of appearance metrics to generate scores for a number of cut components that affect cut quality. These cut components include brightness, fire, scintillation, overweight, durability, polish, and symmetry. The cut grading system employs a cut grading algorithm that processes the individual scores obtained for the cut components to generate an overall cut grade for the diamond. The scoring methodology and the cut grading algorithm are designed to emulate actual observation grading such that the overall cut grade represents a fair indication of the cut quality of the diamond. In one practical embodiment, the cut grading system is fully automated and computer-implemented.

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 an automatic grading method and automatic grading equipment for read questions in a test of spoken English. According to the automatic grading method, preprocessing is carried out on input voice; the preprocessing comprises framing processing; phonetic feature is extracted from the preprocessed voice; by means of a linear grammar network and an acoustic model set up by reading texts, phonetic feature vector order is forcedly aligned to acquire information of the each break point of each phoneme; according to the information of the each break point of each phoneme, the posterior probability of each phoneme is calculated; based on the posterior probability of each phoneme, multi-dimensional grading characteristics are extracted; and based on the grading characteristics and manual grading information, a nonlinear regression model is trained by means of a support vector regression method, so that the nonlinear regression model is utilized to grade on reading of spoken English. The grading model is trained by means of expert scoring data, and therefore a result of machining grading is guaranteed not to deviate from a manual grading result in statistics, and the high simulation of a computer on the expert grading is achieved.

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.

A system, program product, and methodology automatically scores candidate answers to questions in a question and answer system. In the candidate answer scoring method, a processor device performs one or more of receiving one or more candidate answers associated with a query string, the candidates obtained from a data source having semi-structured content; identifying one or more documents with semi-structured content from the data source having a candidate answer; and for each identified document: extracting one or more entity structures embedded in the identified document; determining a number of the entity structures in the identified document that appear in the received input query; and, computing a score for a candidate answer in the document as a function of the number Overall system efficiency is improved by giving the correct candidate answers higher scores through leveraging context-dependent structural information such as links to other documents and embedded tags.

An automatic grading method has processes of reading, identifying and calculating. A process of reading a document is performed and the document has one or more answers. A process of identifying the answers from the document is also performed. A process of calculating a score of the document based on a score of each answer is performed.

The present invention provides for the first time a quantum mechanics-based method for scoring protein-ligand interactions and binding affinity predictions, using quantum mechanical Hamiltonians and / or a combined quantum mechanical / molecular mechanical approach, and Poisson-Boltzmann (PB)-based solvation methods. Also provided is a method for using quantum mechanics to describe the enthalpic and solvation effects of binding. The method comprises comparing the calculated binding affinities to experimental values in order to measure the success of the method. The methods disclosed herein may further be used to score protein and drug or protein and inhibitor interactions. The present method can predict the free energy of binding of protein-ligand complexes with high accuracy so as to enable lead optimization, thus serving as a powerful tool in computational drug design.

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 provides an automatic marking method for karaok vocal accompaniment. In the method, pitch, beat position and volume of a singer are compared with the original pitch, beat position and volume of the theme of a song to generate tone sensation score, rhythm sensation score and emotion score respectively, so as to obtain weighted total score in a weighted marking method. By using the method, the pitch, beat position and volume error of each section of the song sang by the singer can be exactly worked out, and a pitch curve and a volume curve can be obviously displayed, so that the singer can learn which part is sung incorrectly and which part needs to be enhanced. The invention also has the advantages of dual effects of teaching and entertainment, high practicability and technical advancement.

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 provides an answer sheet automatic grading method based on binary image connected domain statistics. According to the answer sheet automatic grading method, after an answer sheet is scanned by a user and a positioning point is detected, binaryzation is carried out on an answering area; answers of all choice questions in an image are recognized and graded by adopting the answer sheet automatic grading method based on the binary image connected domain statistics, and finally answers of all questions and grades of all the questions are output. According to the method, filling points are located according to the positions of the filling points relative to marking points, and the method is not sensitive to inclination, shifting and slight wrinkles of the answer sheet in the process of scanning; whether the answer sheet is filled or not is judged by adopting a self-adaptation threshold value method, effective detection can be conducted on answers filled in different depths, the method can be suitable for both single-selection questions and multiple-selection questions, and the situation of unclean erasing and the situation of multiple-selection can be effectively distinguished. The user does not need to carry out answer sheet scanning again even after slight abnormal situations occur in the process of scanning, and therefore repeated operation can be reduced greatly.

The invention discloses a multidimensional information fusion-based comprehensive e-commerce product scoring method. The method comprises the following steps of: obtaining multidimensional informationsuch as shop information, sales volume information and comment text information of e-commerce products; data preprocessing: carrying out data cleaning and data conversion on numerical type data, andcarrying out word segmentation and part-of-speech tagging on comment texts; mining the multidimensional information: carrying out data reduction and principal component regression analysis on the shopinformation and the commodity sales volume information to obtain shop information indexes and commodity sales volume indexes, carrying out emotion analysis on the comment texts, and obtaining a product feature score radar map through a quantification method and a clustering method; and commodity total score calculation: designing a fusion function and calculating a commodity total score. The method can be applied to commodity information-based commodity recommendation systems, is capable of efficiently and conveniently recognizing high-quality commodities so as to ensure that the designed recommendation systems are more rapid and correct.

The invention is a normalized scoring method and apparatus for the patient care departments of a health care facility having more than one scored patient care department. The scoring method can be used, for example, to direct additional resources to departments that are less well staffed or have fewer available beds or other patient receiving areas than other departments, relative to need. For each scored health care department, scores are preassigned to different numbers of available beds or other patient receiving areas and to different staffing levels in the department. Different departments are independently scored, so the same number of available workers or the same number of available beds may be preassigned different scores in two different departments. An overall score is independently determined for each health care department by adding the patient receiving areas component and the staffing level component, and optionally other factors.

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.

The invention discloses a method and system for article grading. The method comprises the steps that a text of a to-be-grade article is obtained; grading features of the text are extracted, wherein the grading features include a vocabulary feature and / or a writing style feature as well as one or more than one type of features among a meaning feature, an article structure feature and a vocabulary-level semantic feature; and a score of the article is obtained based on the grading features of the text and a pre-constructed grading model. The grading features include the vocabulary feature and / or the writing style feature and can also include one or more than one features among the meaning feature, article structure feature and vocabulary-level semantic feature, and the method and system disclosed by the invention can investigate quality of the to-be-grade article, such as an article structure, a them, a writing style and a vocabulary amount, from multiple dimensions such as an overall dimension and a local dimension because of the features. In this way, the method and system disclosed by the invention can be used for automatic grading of the article.