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129 results about "Weighted score" patented technology

A weighted score or weighted grade is merely the average of a set of grades, where each set carries a different amount of importance.

Generating a risk assessment regarding a software implementation project

InactiveUS7359865B1Disadvantages can be reduced eliminatedImplementation be reduced eliminatedFinanceResourcesRisk levelItem generation
A computer-implemented method for generating a risk assessment regarding a software implementation project includes accessing a previously specified importance value and maximum score for each of a multiple of risk factors. The importance value for each risk factor reflects experience of an implementing entity regarding the extent to which the factor may negatively impact a software implementation project if the factor is not adequately addressed, the importance value and maximum score for each factor being multiplied to define a potential weighted score for the factor. An actual score for a particular software implementation project is received for each factor based on an analysis specific to the particular project. An actual weighted score for the particular project is generated for each factor by multiplying the importance value and actual score for the factor, and a relationship between the potential weighted score and actual weighted score for each factor. A risk level for the particular project is assigned to each factor according to the relationship between the potential weighted score and the actual weighted score for the factor. The risk level for each factor represents an assessment regarding the extent to which the factor may negatively impact the particular project if the factor is not adequately addressed. A risk assessment is generated for the particular project including one or more of the assigned risk levels for the particular project for one or more corresponding factors.
Owner:BLUE YONDER GRP INC

Identity identification method and apparatus based on combination of gait and face

The invention relates to an identity identification method and apparatus with the combination of the gait and the face based on deep learning. The apparatus comprises a video acquisition and preprocessing module, a gait feature extraction module, a face feature extraction module and an identification module. The method includes: acquiring a video stream, and performing pedestrian detection and tracking and face detection on the video stream; performing gait feature extraction on human body images, and calculating quality evaluation scores of gait features; performing face feature extraction onface images, calculating quality evaluation scores of face features, and regarding the face image with the highest quality evaluation score as a to-be-identified face image; and performing weightingon the gait features and the face features according to respective quality scores, and inputting the weighted scores into a SVM classifier for identity identification. According to the method and theapparatus, the quality evaluation scores of the gait features and the face features are calculated, weighting is performed according to the quality scores, advantages of face identification and gait identification are combined, the two identification technologies are complemented, the robustness of an identification system is increased, and the accuracy of figure identity identification is improved.
Owner:武汉神目信息技术有限公司

Webpage sensitive information detection method and device and electronic equipment

The invention provides a webpage sensitive information detection method and device and electronic equipment, and relates to the technical field of information safety. The method comprises the following steps of: obtaining a webpage content of a to-be-detected website; judging whether the webpage content comprises a target keyword, wherein the target keyword is a keyword associated to preset sensitive information; if the judging result is positive, extracting a target webpage content, in a preset range of the target keyword, in the webpage contents; judging whether the target webpage content comprises an associated keyword or not, wherein the associated keyword is a keyword associated with the target keyword in a preset associated keyword library; if the judging result is positive, solvinga weighted sum of the associated keyword so as to obtain a weighted score; and when the score is greater than a preset threshold value, determining that the to-be-detected website comprises to-be-detected information. According to the method, dual judgement of the target keyword and the associated keyword can be carried out on the webpage contents of the to-be-detected website, so that the false alarm rate of automatic detection of webpage sensitive information is reduced, the workload of artificial audition is decreased, the working efficiency is improved and the labor cost is reduced.
Owner:HANGZHOU ANHENG INFORMATION TECH CO LTD

Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation

The invention discloses an iteration frequency domain minimum mean square error equilibrium method under a double-dispersion channel based on weighted score Fourier transformation, and relates to an iteration frequency domain minimum mean square error channel equilibrium method in a mixed carrier wave communication system under a wireless double-dispersion channel or an underwater acoustic susceptance channel, in order to solve the problem of energy dispersion of signals on a time domain or a frequency domain at the same time. The method comprises the following steps that: firstly, a mixed carrier wave modulation system emitting end completes the mixed carrier wave modulation; secondly, a cyclic prefix is added for a time domain sequence x and is subjected to parallel-serial conversion; thirdly, a time domain sampling sequence is transmitted in serial; fourthly, the mixed carrier wave modulation system receiving end neglects a CP (computer program) part; fifthly, the time domain sampling sequence y is subjected to DFT (discrete Fourier transformation) at N points; sixthly, sampling points at the frequency corresponding to a certain sub carrier wave of the frequency domain are subjected to linear MMSE (minimum mean square error) estimation and N-point-stage WFRFT (weighted score Fourier transformation); seventhly, apriori information and Rho s=X(s, s) are estimated gradually; eighthly, the apriori information of the corresponding frequency domain is calculated; ninthly, the apriori information is fed back. The iteration frequency domain minimum mean square error equilibrium method under the double-dispersion channel based on weighted score Fourier transformation provided by the invention is applied to the mobile communication field.
Owner:HARBIN INST OF TECH

Method and system for monitoring social media and analyzing text to automate classification of user posts using a facet based relevance assessment model

A social media monitoring and text analysis method for automated classification of user posts on the web, using a facet based relevance assessment model, comprise a semantic indexing server, which builds a faceted classification index of text objects, and a query server, which receives and analyzes the user's query. A query thus processed is then sent from the query server to the semantic indexing server through an interface in order to perform a search in the faceted classification index. The search system and method further comprise a result handler, which provides the user with a search result set comprising a list of unexpected links and a list of result elements. The list of unexpected links corresponds to filters which allow the user to narrow down or refine the original query. The quality of unexpected links depends on identification of the most likely topical area of focus related to the query concepts and corresponding concepts in user posts, and this achieved by ensuring that we measure statistical co-occurrence of concepts in user posts, assign weighted scores based on information gain and semantic density, thus establishing a relevant conceptual tag cloud that is used validate topical focus against a set of industry specific taxonomies or ontologies.
Owner:9417 2129 QUEBEC INC NOW SEMEON ANALYTIQUE INC

Weighted nearest-neighbor data association method for centralized multi-radar data processing process

The invention discloses a weighted nearest-neighbor data association method for a centralized multi-radar data processing process. The scores of seven parts including a gate, a course angle/angular velocity, attribute similarity, accelerated speed, response times, vertical distance and track status are associated, and the scores of the seven parts are subjected to the calculation of trace point and track relevancy based on the weighted scoring algorithm. In this way, the updated value of a final score is obtained. During the score associating process, after the calculation of trace point and track relevancy, the smaller the updated value of the final score of the associated values, the stronger the matching relationship. When the updated value of the final score of the associated values is larger than 0x9FFFF, the matching requirement is not met. In the condition of limited hardware resources and high requirement on real-time performance, the above data associated processing method is relatively efficient and accurate. Meanwhile, on the basis of an original nearest-neighbor associated processing method, other associated reference factors are introduced at the same time. Therefore, an optimal matching group between trace points and the track can be gradually found out.
Owner:成都能通科技股份有限公司

Discovering multi-component software products based on weighted scores

A solution for discovering shared software components (C1-C9) of software products (PRODa-PRODe) installed on a data processing system is proposed. In order to achieve this result, for each software product the corresponding software components are aggregated into groups (Ga1-Ge1); each group includes software components that must be linked by a corresponding relationship (such as a co-location on the same operating system image). In this way, it is possible to assign a software component available on the system to its software product even when it may be used by more of them. Particularly, the operation is performed deterministically when the available software component is included in a single valid group (i.e., a group including all the required software components); in this case, the available software component (C2) is assigned to the software product (PRODb) associated with the single valid group (Gb1). Alternatively, when an (ambiguous) available software component (C4,C8,C9) is included in more valid groups, a score is calculated for each associated (eligible) software product according to the corresponding available software components; the eligible software product with the highest score (PRODc) is then selected for assigning the ambiguous software component.
Owner:INT BUSINESS MASCH CORP

Wavelet domain-based method for weighting fractional differential image digital watermark

The invention provides a wavelet domain-based method for weighting a fractional differential image digital watermark, which mainly solves the problem that the high-frequency coefficient of an image undergoing wavelet decomposition is susceptible to extraneous noises and conventional image processing. The method comprises the implementation steps of: doing two different orders of differentials for a sinusoidal signal by utilizing a fractional order Cauchy formula; respectively carrying out discrete sampling and superposing by utilizing a given weight to generate a pseudorandom sequence and adding the pseudorandom sequence with a watermark pixel value to realize watermark scrambling; carrying out two-stage decomposition on a carrier image by utilizing a Haar wavelet and embedding the scrambled watermark information in the carrier image through the exchanged and decomposed high-frequency coefficient; and through comparing the high-frequency coefficient undergoing the two-stage decomposition by utilizing the Haar wavelet, extracting the scrambled watermark and subtracting the pseudorandom sequence to realize watermark recovery. The method provided by the invention has the advantages of strong anti-attack ability and good safety of the image, and can be applied to copyright protection, restriction of illegally spreading audiovisual products, individual privacy protection, identification hiding and high-tech crime prevention.
Owner:XIDIAN UNIV
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