105 results about "Risk type" patented technology

The present invention relates to a computer-based system for generating a risk register relating to a named entity. The system comprises a computing device, a risk database accessible by the computing device and having stored therein a set of risk types based on an induced taxonomy of risk types previously derived at least in part upon operation of a machine learning module, an input adapted to receive a set of source data, the set of source data being in electronic form and representing textual content comprising potential risk phrases, a entity-risk relation classifier adapted to identify and extract entity-risk relations from the set of source data, a risk tagger adapted to identify in the set of source data a set of risk candidates (r_i) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (c_i) in the set of source data, and a risk register aggregator adapted to generate a first risk register based on the set of tuples associated with a first entity.

A method and related system is disclosed for risk-aware contingency flight re-planning of a vehicle's pre-planned route. The system receives a desired Risk Tolerance Level (RTL) for the pre-planned route from a decision maker. As a mission time progresses, changing threats pose an unknown level of risk to the vehicle and crew. The system receives an unplanned threat to mission success of the vehicle and qualifies the received unplanned threat with a Risk Type (RT). The system generates and evaluates possible 4-D re-routes based on the RTL and RT coupled with physical attributes of the possible 4-D re-route. Additionally, the re-planner associates a cost to each of the possible 4-D re-routes and presents ranked possibilities to the decision maker for selection and activation.

Certain embodiments of the invention may include systems, methods, and apparatus for determining fraud risk associated with a credit application. According to an exemplary embodiment of the invention, a method is provided for receiving applicant information associated with the application; searching one or more consumer identity repositories for prior usage of the applicant information; generating a plurality of identity characteristics corresponding to the prior usage of the applicant information; assigning the application to one of a plurality of segments based at least in part on the searching; scoring the application with a predictive scoring model to determine a risk score based at least in part on the identity characteristics; determining identity fraud risk types associated with the application; and outputting the risk score and one or more indicators of the determined identity fraud risk types.

A system and method of asset allocation for optimizing investment determines risk tolerance category of the user based on answers to a risk tolerance questionnaire. A value is calculated based on the way the questions are answered and various points assigned to each answer. The calculated value, which correlates to a standard deviation range, and a risk type for that specific value is assigned to the user. According to a predetermined asset allocation table, different asset classes are determined and along with the standard deviation range are plotted on the efficient frontier. The user selects various risk levels and finds various combinations of asset classes. The precise composition of the asset allocation is determined based on the assigned value, corresponding risk type and related asset classes.

The invention belongs to the technical field of nuclear power station information construction, and discloses a nuclear power station information system operation safety pre-warning method and devicesuitable for the information machine room dynamic environment monitoring, a computer apparatus and a storage medium. The method comprises the steps of obtaining the power distribution and environmentparameters of the related apparatuses of an information machine room information system from a designated apparatus system; selecting the important parameters and the abnormal parameters from the operation parameters; inputting the important parameters and the abnormal parameters into a nuclear power station information system operation risk prediction model, obtaining the risk types and the risklevels outputted by the nuclear power station information system operation risk prediction model, and enabling each risk type to correspond to one risk level; and when the risk level corresponding tothe risk type reaches a preset level, sending the early warning information to a designated terminal. According to the nuclear power station information system operation safety early warning method provided by the invention, the judgment precision of the nuclear power station on the safety risk can be improved, and meanwhile, the timeliness of the systematic risk feedback is ensured.

The invention discloses a network equipment security evaluation method and a network equipment security evaluation device, which are used for solving the problem of network equipment security evaluation inaccuracy in the prior art. The method comprises the following steps of: scanning each piece of risk data corresponding to each piece of risk type information in network equipment according at least one piece of set risk type information; and for each piece of risk type information, comparing each piece of risk data corresponding to the risk type information in a scanning result with each piece of saved risk data corresponding to the risk type information in a security baseline set for the network equipment, and outputting a comparison result. Security evaluation is performed on the network equipment according to each piece of saved risk data corresponding to each piece of risk type information in the security baseline set for the network equipment, so the embodiment of the invention can more accurately evaluate the security of the network equipment.

The embodiment of the invention provides a risk event alarm method and device. The method comprises the steps of: obtaining event risk parameters of a risk event to be evaluated in a plurality of information channels, and obtaining a propagation risk value of the risk event according to the event risk parameters of the information channels; obtaining a business risk value corresponding to the riskevent according to the business parameter of a business type to which the risk event belongs and risk parameters corresponding to the risk type to which the risk event belongs; and obtaining a totalrisk value of the risk event according to the propagation risk value and the business risk value; and if the total risk value is located in a predetermined alarm range, triggering alarm for the risk event.

The invention relates to the field of risk identification and early warning, in particular to a risk information automatic classification, identification and early warning method and system. The method comprises the steps of S1, receiving information sent by a user and taking the information as a risk target; S2, performing risk information classification and identification processing on the information to obtain a risk type of an environment in which the user is located; S3, outputting a corresponding early warning signal according to the risk type; and S4, providing an emergency decision scheme according to the early warning signal. According to the method, the information sent by the user is subjected to the risk information classification processing firstly, then the corresponding early warning signal is output according to the classification condition, and the corresponding emergency decision scheme is provided according to the early warning signal; and the method integrates risk identification, classification and early warning functions, and can provide countermeasures for the user timely according to the information sent by the user.

The invention relates to transaction risk detection method, apparatus and equipment. The transaction risk detection method includes the steps: determining the target transaction to be detected; according to at least one attribute of the target transaction, determining the risk type owned by the target transaction; acquiring a preset risk strategy, wherein the preset risk strategy includes at least one risk judgment rule; each risk judgment rule is corresponding to at least one risk type; and at least one risk judgment rule in the risk strategy is corresponding to at least two risk types; according to the corresponding relationship between the risk types and the judgment rules, from the preset risk strategy, determining the risk judgment rule corresponding to the risk type owned by the target transaction; and according to the determined risk judgment rules, performing risk detection on the target transaction. The transaction risk detection method, apparatus and equipment can avoid incorrect rejection and can reduce the maintenance cost.

The embodiment discloses a user customization contract generation method based on risks and a system and belongs to the technical field of a computer. The method comprises steps that a contract type is acquired; according association relationships between clauses in a clause database and the contract type, a clause set in matching with the contract type is acquired; according to association relationships between guiding problems in a guiding database and the contract type, a guiding problem set in matching with the contract type is acquired; according to association relationships among the contract type, risk types and the risk information, a risk type and the risk information in matching with the contract type are acquired; according to the risk type and the risk information, the guiding problem set is updated; a selection result for the updated guiding problem set is acquired; the clause set is filtered according to the selection result; and a blank contract is generated. Through the method, the contract capable of protecting rights of a client to a maximum degree can be drafted by a user without professional law knowledge through a quite-low-cost and convenient-operation method.

The invention relates to a method and a system for processing audit data. The method comprises: extracting audit data of an audited target from a historical audit database, performing data cleaning onthe audit data, performing exploratory analysis, to obtain data characteristics; sampling and dividing audit risk data into a test set and a training set, according to the data characteristics, establishing a prediction model on the training set, and using the test set to train the prediction model, to obtain a risk prediction model; and using the risk prediction model to perform risk predictionon the input audit data of the audit target, and identifying a risk type of the audit data. The technical scheme can accurately predict the risk type of the audit data, and realizes to predict possibility of various audit risks of an audit target, and improves audit processing effect of the audit data, and provides important data support for development of audit operation.

The invention provides a power operation risk control method and system. The method comprises the steps of dividing each power operation task into a plurality of subtasks, recognizing hazard factors of each subtask, predicting the risk of each hazard factor to obtain possible risk types of each subtask, then calculating the risk value of each risk type by adopting an LEC (Likelihood, Exposure and Consequence) method, and generating risk control measures according to the risk types and the risk values. By using the power operation risk control method and system, the generated risk control measures can effectively control the risk types with higher risk values, the objective and effective risk control of power operation tasks of a power system is realized, the risk control accuracy is improved and the power operation safety is improved.

The invention provides a method, oligonucleotide and kit for detecting common high-risk HPV (human papilloma viruses). A fluorescence PCR (polymerase chain reaction) technology is adopted, HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68, 26, 53, 66, 73 and 82 which possibly exist in a sample are subjected to initial detection and type identification. By the method, oligonucleotide and kit for detecting the common high-risk HPV, 18 high-risk types can be detected simultaneously, and the HPV 16 and 18 can be subjected to genetic typing simultaneously. On the basis of 18 types of high-risk HPV and affinity of other types on a phylogenetic tree, a high-risk HPV primer and a probe are designed, a background fluorescence value is reduced remarkably while detection accuracy, sensitivity and specificity are guaranteed, detection flux is increased remarkably, and detection cost is greatly reduced.

The current invention provides improved methods and means for the treatment of virally induced intraepithelial neoplasias of the ano-genital tract, such as HPV induced vulvar-, cervical-, vaginal-, penile- and anal intraepithelial neoplasias (VIN, CIN, VAIN, PIN and AIN). The invention provides a method of treatment of a subject suffering from an anogenital intraepithelial neoplasia comprising at least the steps of first determining whether the subject has a T-cell reactivity for viral early antigens, in particular high risk type HPV antigens; and subsequently a local treatment of the neoplasia with immune modulating compounds eliciting local inflammation if the subject scores positive for the T-cell reactivity, preferably a CD4+response against HPV early antigens. The invention also comprises methods and means to induce or further stimulate a cellular immune response against HPV antigens, prior to or during treatment with the immune modulating compound capable of eliciting a local inflammatory response.

The invention discloses an investment and wealth management risk prevention and control system, which includes an online learning module, a risk type evaluation module, a risk control ball game module, an investment tool library, a risk case library, a member center module, a unified interface module, a risk prevention and control module, an asset Configuration module, risk prevention and control artifact module (including age financial planning artifact module, pension financial planning artifact module, target financial planning artifact module, comprehensive financial planning artifact module, asset allocation diagnostic artifact module and investment risk control officer diagnostic artifact module) and special topics Report generation module; the present invention discloses a method for preventing and controlling investment and financial management risks, including establishing a financial management risk control concept, self-diagnosis and analysis of risk control, investment and financial risk control learning, investment and financial risk control practice, and self-tracking risk control adjustment. The system and method of the present invention focus on asset allocation and risk prevention and control, and provide Internet users with investment and financial management risk prevention and control services.

The invention discloses an early warning method and device of bank loan risks. The method comprises the following steps: extracting transaction data associated with a target load project from a source system; selecting a target risk early warning model from a preset risk early warning model set, wherein a loan type in a model parameter of the target risk early warning model is the same with the load type of the target load project; according to a data rule of the target risk early warning model, processing the transaction data; and utilizing the processed transaction data to calculate the target risk early warning model to obtain early warning data, wherein the early warning data is used for indicating whether the target load project has risks or not. The invention designs various risk early warning models in advance, since each risk early warning model corresponds to different risk types, the corresponding risk early warning model is selected according to the loan type of the target load project to carry out risk early warning, various types of risks can be comprehensively subjected to early warning, and meanwhile, the work efficiency of the risk early warning is improved.

An embodiment of the invention relates to the field of information technology, and provides a driver-and-vehicle risk predicting method. The method comprises the steps of acquiring historical vehicleinformation, historical health information of a driver and emergent condition cases; for aiming at the emergent condition cases, acquiring corresponding historical vehicle information and historical health information, and forming a driver-and-vehicle characteristic vector; respectively extracting the corresponding driver-and-vehicle characteristic vectors for aiming at multiple emergent conditioncases, forming a characteristic matrix according to the multiple driver-and-vehicle characteristic vectors, determining a risk type according to the historical health information and the historical vehicle information, forming a target vector based on the risk type, using the characteristic matrix as an input in the classifier, and using the corresponding target vector as the output of the classifier, and performing model training for obtaining a risk predicting model; and inputting the real-time acquired vehicle information and the health information of the driver into the risk predicting model, thereby obtaining a risk predicting result. The driver-and-vehicle risk predicting method can identify a possible health risk or an emergency of the user.

The invention discloses a detection kit, detection system and detection method for 19 high-risk HPVs. The 19 high-risk HPVs comprise HPV16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 70, 73 and 82. According to the invention, a plurality of general primers are employed for amplification of target fragments, and specific fluorescence probes are used for real-time detection of the amplified fragments; since the general primers are employed, the primer amount of the system and complexity of the system are reduced, cost is saved, and all the high risk types are detected through combined action of 10 primers; and 20 specific fluorescence probes are used to distinguish different types. With the detection kit, detection system and detection method provided by the invention, the 19 high-risk HPVs can be detected in a reaction tube; high sensitivity and good specificity are obtained; operation is simple and fast; and for patients, screening cost is saved.

The invention provides an immune colloidal gold test card for testing high-risk type human papillomavirus. A test strip thereof consists of a back lining, a sample pad, a combining pad, an NC membrane and a water-absorbing pad; the upper middle part of the back lining is provided with the NC membrane; the two ends of the NC membrane are respectively connected with the combining pad and water-absorbing pad in a neighboring way; the sample pad is arranged above the combining pad; a gold-labelled antibody G-Ab1 is sprayed on the combining pad; the coated gold-labelled antibody G-Ab1 is the monoclonal antibody of the high-risk type human papillomaviru virus HPV16; and the NC membrane is respectively sprayed with the polyclonal antibody Ab2 of the high-risk type human papillomaviru virus HPV16 and the antibody of the gold-labelled antibody, namely the IgG antibody of a rabbit antimouse. The invention applies the technology of immune colloidal gold into the quick testing of the high-risk type human papillomaviru virus; moreover, the test strip for quick testing the high-risk type human papillomaviru virus does not need a test device, thus being convenient for the application to the clinic quick diagnosis and suitable to hospitals of various grades to screen cervical carcinoma.

The invention discloses an internet risk monitoring method. The method comprises the following steps: determining a to-be-monitored Internet risk type, wherein the Internet risk type comprises a source code leakage risk that an Internet code hosting platform leaks source codes of an enterprise and a search engine risk that an Internet search engine leaks sensitive information of the enterprise; according to the determined Internet risk type, reading corresponding risk monitoring rules from a preset monitoring rule library, wherein the risk monitoring rules support custom settings; and according to the read risk monitoring rules, executing a risk monitoring operation on a to-be-monitored Internet code hosting platform or Internet search engine. The invention also discloses an Internet riskmonitoring device and equipment as well as a storage medium. The method disclosed by the invention can realize efficient and comprehensive monitoring on an Internet information leakage risk.

The invention relates to a risk management data processing method and device, computer equipment and a storage medium. The method comprises the steps that a risk event set is acquired, and an event reporting task is established for each risk event; target interface parties corresponding to the event reporting tasks are selected from an interface party set corresponding to the risk events, and theevent reporting tasks are sent to terminals corresponding to the target interface parties correspondingly; reported data sent by the terminals corresponding to the target interface parties are received, and a preset classification model is adopted to obtain risk types corresponding to the risk events; review parties corresponding to the risk events are selected according to the risk types, and thereported data are sent to terminals corresponding to the review parties; and review data sent by the terminals corresponding to the review parties are received, and when it is judged that the reported data corresponding to any one of the risk events pass the review according to the review data, a report file is generated according to the reported data passing the review.

The embodiment of the invention provides a risk identification method and device for a vehicle insurance claim settlement case, equipment and a storage medium. The method comprises the steps of obtaining case information of a historical vehicle insurance claim settlement case; Performing data analysis on the case information of the historical vehicle insurance claim cases to extract feature information corresponding to cases of different risk types; Performing anti-fraud model training according to the feature information corresponding to the cases of different risk types; And performing risktype identification on a to-be-identified vehicle insurance claim settlement case according to the anti-fraud model obtained through training. The method solves the problems of high risk, high anti-fraud cost and low efficiency of vehicle insurance claim settlement, and effectively reduces the amount leakage caused by loss error.