560 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.

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.

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 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 safe cloud-based environment for student learning and collaboration, promotion of appropriate and responsible online student behavior, introduction and development of student work skills and abilities, and access to hundreds of online learning systems for students instantly and securely. For parents, real-time access to student performance and behavior is afforded, as is easily submitted student registration information online. Collaboration of parents with school staff and other parents is promoted. For teachers, appropriate teaching curriculum and effective assessment/grading methods can be created/provided and collaboration with students and parents regarding assignments, events, and other information is promoted. The effectiveness of teaching initiatives and programs is tracked and analyzed and direct and instant access to critical student information is provided. For administrators, performance data and metrics is tracked, and individualized or customized information and data is distributed globally within the community.

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.

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 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 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.