52 results about "Risk scenario" patented technology

The invention discloses a highway tunnel traffic accident risk evaluation method based on fuzzy analytic hierarchy process. The method includes the following steps: formulating a plurality of evaluation indices to obtain an evaluation index domain, dividing a highway tunnel into three research sections, establishing respective index system for each research section; formulating a plurality of evaluation levels to obtain an evaluation level domain; separately computing the fuzzy degree of membership of respective evaluation index to respective evaluation level, constructing a degree of membership matrix; computing a weight vector of the evaluation indices; on the basis of the weight vector and the degree of membership matrix, synthesizing a comprehensive evaluation vector; computing a risk value, on the basis of the risk value, determining risk conditions. According to the invention, by using the fuzzy matrix and the application of the analytic hierarchy process to risk evaluation, the method can analyze respective uncertain factor and index that appear in the course of risk evaluation; by setting a first level index and a second level index, the method can consider from a multiple aspects and can deliver more comprehensive analysis by dividing the tunnel into three regions and make related talks, the method herein takes the minimum evaluation value as a final evaluation result. The evaluation is more much reasonable.

A multileveled bonus round having a plurality of random generations, differing average awards and differing levels of risk. The gaming device contains a display that prompts the player to select one of a plurality of pick buttons. When the player does so, the game assigns an award set to each pick button of the display. The game then displays each of the awards in the award sets so that the player can easily recognize the assignments. The game randomly chooses one of the awards from each of the award sets and displays the chosen awards. The player's award for any given level is thus the selected award of the selected award set of the picked or chosen pick button. The awards of the present invention can be an award multiplier, outright base game credits or a bonus round terminator. A bonus round terminator terminates the bonus round. The game proceeds though all the levels of the round in the manner just described until the game selects a bonus round terminator or the player exhausts all the levels.

Methods, computer-readable media, and apparatuses are disclosed for risk scenario analysis. Aspects of the embodiments disclose methods, computer readable media, and apparatuses for identifying scenarios for operational risk scenario analysis using analytical and quantitative methods. Additional aspects of the embodiments disclose methods, computer readable media, and apparatuses for identifying business units for performing risk scenario analysis using analytical and quantitative methods.

A method and system for managing investment portfolio risk on a computer system. A plurality of parameters, including an identifier, a market price, a stop-loss price, a commission, a skid, and a number of shares or contracts all associated with an investment instrument, are stored on a computer-readable medium, along with an equity value associated with a user's portfolio. A point risk value is determined for a potential investment. The point risk value is an intermediate value multiplied by the number of shares or contracts, the intermediate value comprising the market price minus the stop-loss price plus the commission plus the skid (for long transactions). A plurality of risk scenarios are displayed showing proposed numbers of shares or contracts associated with the point risk value for a plurality of selected size risk values. Other risk characteristics may also be determined and displayed.

A computerized method of allowing insurance customers to purchase travel medical insurance or other foreign medical insurance, based on user age, sex, and various user designed risk scenarios, and receive information on the payout amounts that various insurance plans will deliver based upon these factors. In one embodiment, a method for allowing customers who are unfamiliar with the medical cost structure of a foreign country to be informed both as to the costs of medical treatment in that country, and the benefits that a variety of foreign coverage medical insurance plans will provide under these user risk scenarios. These plans may then be evaluated according to different user selected parameters. The method can be implemented using computerized servers and client devices communicating using standard internet protocols over the internet.

The invention provides a small and medium-sized enterprise credit risk assessment platform based on online supply chain finance. By connecting the enterprise terminal and the financial and supervisoryterminal into the automatic evaluation platform, the automatic evaluation platform can realize the automatic collection of the enterprise risk data to a certain extent, and analyze the risk situationof the enterprise according to the set rules, so as to reduce the burden of manpower and material resources and improve the work efficiency. In addition, the automatic evaluation platform allows enterprises to defend questionable risk data, and can help the financial and regulatory side to timely find abnormal data, early detection of possible illegal defaults of enterprises, and provide important reference and support for financial and regulatory institutions.

The invention provides a network attack risk assessment method of a distribution network CPS dependent system based on an attacker perspective. From an attacker perspective, the risk level caused bypower grid cps system attack is analyzed based on different attack and invasion aims and the risk situation of potential attack paths is analyzed, so that the method provides a new perspective for thestudy of cps security analysis and protection methods, and provides an accurate basis for grid operators to formulate defensive measures.

The invention discloses an information safety risk assessment method and relates to the technical field of information safety. The method is complete in assessment item and wide in assessment range, supports custom rule assessment, can find threats and potential threats in time and can carry out early warning processing better; and meanwhile, assessment data is comprehensive in data content, risk visualization is high, and embodiment of the potential threats and description of risk conditions and processing schemes are clear.

The invention provides an SCADA system information security risk assessment method and system. The method includes the following steps: according to a causal relationship between each vulnerability factor and each threat factor in an SCADA system to be assessed, combining each vulnerability factor and each threat factor to obtain threat-vulnerability combinations; according to a corresponding relationship between each threat-vulnerability combination and each asset factor in the SCADA system to be evaluated, combining each threat-vulnerability combination and each asset factor to obtain each risk scenario; and according to the first influence degree of the vulnerability factors on a vulnerability risk indicator of the SCADA system to be assessed in each risk scenario, the second influencedegree of the threat factors on a threat risk indicator, and the third influence degree of the asset factors on an asset risk indicator, obtaining risk assessment results of the risk scenarios. According to the scheme of the invention, the risk assessment results can be quantitatively obtained, and thus the risk assessment results can be more accurate.

The application provides a method and a device for determining risk features, and an account risk scoring method and device. The method for determining risk features comprises steps of calculating the risk multiple of each value of features in an account sample; and calculating the fluctuation ratio of each risk multiple, and according to the fluctuation ratio, determining the features are risk features or not. The account risk scoring method comprises steps of determining risk features required in scoring by using the method for determining the risk features; and calculating the weight of evidence (WOE) of each value of the risk features, and according to the WOE, obtaining a risk scoring model. This application can predict the risk of the account from the perspective of data, and comprehensive evaluate the risk of the account according to the WOE of the value of each risk feature, so that the risk assessment of the account is more accurate and the dependence on human understanding in the risk assessment is reduced, and defects that the human understanding influences risk assessment results or the assessment is incomplete are tackled.

Simulation for evaluating approval/rejection of an action plan of the type in which work breakdown struction is changed by influences of external risk factors is achieved. A simulation apparatus includes a plan/risk input portion for accepting input of action plan data and risk scenario data, a plan/risk simulation portion for conducting simulation of an action plan by using the action plan data and the risk scenario data so accepted, and a plan evaluation output portion for evaluating a simulation result. The plan/risk simulation portion simulates occurrence of a risk phenomenon by using the risk scenario data, determines influence information given by the risk phenomenon to the action plan when the risk phenomenon is simulated as occurring and conducts simulation of the action plan by reflecting the influences of the risk scenario on the action plan by using the influence information so determined.

The invention discloses a power grid node voltage dip risk evaluation method. Short circuit faults possibly occurring in a power grid are simulated based on a computer model, influences caused by the short circuit faults to the power grid are simulated, through simulating various types of randomly occurring short circuit faults at various positions and obtaining a voltage dip statistical condition of a regional power grid in case of numerous random faults, each node in the regional power grid is evaluated, and the condition of each node generating a short-circuit voltage dip risk is analyzed. Compared to a conventional actual measurement statistical method, the method, based on a random pre-estimation method, can effectively prevent consumption of enormous manpower and material resources by use of the actual measurement statistical method, avoids the problem of insufficiency of original data, facilitates analysis of the voltage dip risk of each node of the power grid, and has an important value in improving electric energy quality of the power grid and preventing a voltage dip problem.

The invention discloses a risk pre-warning method for a cyber-loan platform. The risk pre-warning method includes the steps of capturing index data, operational risk data, and social evaluation data from a related website; processing the index data and the social evaluation data to obtain time-order characteristics, and performing characteristic selection on the time-order characteristics to obtain available characteristics; performing machine learning according to the available characteristics to obtain a risk assessment model; using the risk assessment model to judge whether the cyber-loan platform is in a high-risk state; and if yes, performing pre-warning operation. The risk assessment model is obtained by performing characteristic processing training on the data captured from the website, and model training is performed through the time-order characteristics so that risk changes of the cyber-loan platform can be learnt on a larger time scale, the risk pre-warning accuracy is improved, and the loss caused by the risk changes is avoided. The invention further discloses a risk pre-warning device for the cyber-loan platform, a server and a computer-readable storage medium, which have the above beneficial effects.

the emdoiment of the invention provides a Privacy risk assessment method and apparatus. One embodiment of the method includes: Performing one or more of the following checks on the version of the application that needs to be evaluated, obtaining a privacy risk detection result of an applied need-evaluated version: performing consistency of a privacy right requirement situation and a privacy rightapplication situation, legitimacy of a privacy right used by the applied need-evaluated version, and legitimacy of a plug-in use privacy right associated with the applied need-evaluated version; Basedon the privacy risk detection result of the version to be evaluated of the application, generating a privacy risk evaluation result of the version to be evaluated of the application. The invention realizes the detection of multiple privacy risk situations of multiple versions of an application, evaluates the security of the multiple versions of the application in the privacy data of a user, and obtains the privacy risk evaluation results of the multiple versions of the application, so that the security of the multiple versions of the application in the privacy data of a user can be known.

The invention discloses a payment location notification method, a payment location notification system, and a server. The payment location notification method comprises the steps of: receiving current location information sent by a mobile terminal when conducting payment according to payment information sent from the mobile terminal, wherein the current location information indicates a payment location of current payment; judging whether the current location information is a commonly-used payment location; and sending a notification message to the mobile terminal if the current location information is a uncommonly-used payment location, so as to notify a user that a security risk exists in the current payment. By adopting the method, the user can be informed of risk situations timely, and the user experience is enhanced.

The invention discloses a risk degree quantification method for automobile driving potential danger scenes, which comprises the steps of extracting primary, intermediate and final risk factors in a grading manner according to potential risk scene components, then calculating the risk degree membership degree of the final risk factors, calculating the weight values of the primary risk factors and the intermediate risk factors, calculating a risk degree membership degree of the primary risk factor; and finally, calculating the risk degree of the potential dangerous scene of automobile driving according to the weight value and risk degree membership degree of the primary risk element, the driving speed and the potential dangerous movement speed. Risk scenes can be measured by using quantitative indexes, and the invention has the advantages of quantifiability, simple method and high quantization precision.

The invention belongs to the field of biological medicine, and relates to an operation resource allocation prediction system, in particular to an obstetric operation resource allocation prediction system. The prediction system comprises a computer. A data acquisition module and an operation module are arranged in the computer; the data acquisition module is provided with an information acquisitionchannel for risk factors, the risk factors include the age of a pregnant woman, the number of previous parturition times, the number of previous abortion times, the previous vaginal delivery history,the week of pregnancy termination and the relationship between the placenta of pregnancy and the uterus, and the operation module calculates a risk value according to the risk factor information. Thesystem can accurately evaluate and predict whether the pregnant and lying-in woman with the preposed placenta during pregnancy has serious postpartum hemorrhage or not, and medical staff take certainmedical resource allocation measures according to risk conditions. The system can be applied to practice of surgical resource allocation of pregnant and preposed placenta pregnant and lying-in womenin the obstetrics and gynecology department of hospitals.

The invention discloses an account analysis method, device and storage medium, and belongs to the field of the machine learning. The method comprises the following steps: acquiring a financial producttransaction record of a to-be-analyzed account in the latest preset duration; determining account data of the to-be-analyzed account; inputting the account data into a preset decision tree model, wherein the preset decision tree model is the model obtained through the training of a preset training set, the preset training set comprises a risk account and a non-risk account and corresponding account data, and the risk account is the account for performing interest arbitrage through an illegal way; and outputting through the preset decision tree model to obtain the risk condition of the to-be-analyzed account. The preset decision tree model is obtained by training the decision tree model in advance, and the preset decision tree model is used for predicting whether the to-be-analyzed accountis the risk account, the analysis efficiency on the to-be-analyzed account is improved, the to-be-analyze account can be predicted as the risk account before the to-be-analyzed account causes a lossto the financial company, and the timeliness for identifying the risk user is improved.

The invention provides a small watershed disaster auxiliary research and judge method based on big data analysis of disaster prevention experience. For the small watershed, through the analysis of bigdata of disaster prevention experience, the historical disastrous events that are similar to the current flood disasters are found out, and all the information related to the historical disastrous events are presented to decision-makers so as to let the leaders know the risks of the current disasters and prevention and control measures and effects of similar events, so that reference for their command and control is provided. On the one hand, the best practices of the past can be utilized, and on the other hand, the shortcomings of the past can be avoided.

The invention discloses a method for predicting downward deflection risk of a continuous rigid frame bridge beam, which comprises the following steps of: downward deflection event data of the continuous rigid frame bridge beam is collected; S2, the downward deflection risk scenario of continuous rigid frame is obtained by inversion based on the fault tree; S3 cluster analysis is carried out with annual deflection-span ratio as classification index, which was divided into four types: stable deterioration, fast deterioration, fast deterioration and extremely fast deterioration; S4, the mean value and standard deviation of the annual torsion-span ratio of each downward torsion type are calculated; S5, the evolution rule of the ratio of deflection to span with the bridge age is obtained; S6 according to the clustering analysis of annual deflection-span ratio and its evolution rule with bridge age, various kinds of downward deflection models are established and the hypothesis test is performed to obtain the distribution types of all kinds of downward torsion models satisfy normal distribution; S7, the probability model of occurrence of downward deflection risk and the probability modelof risk loss are established; S8, the probability model of deflection risk occurrence and the probability model of risk loss of continuous rigid frame bridges to be predicted are obtained, and the number of deaths and economic losses of various risk losses are calculated.

The invention belongs to the field of enterprise credit extension service systems, and discloses a method for determining enterprise credit increment based on enterprise employee data, which solves the problems of inaccurate evaluation of enterprise collateral value and inconformity of enterprise credit increment and enterprise operation conditions, and comprises the following operation steps: receiving a credit increment request sent by a target enterprise, understanding target enterprise information, and collecting target enterprise employee data; carrying out credit augmentation evaluation,wherein the credit augmentation evaluation comprises evaluation initial condition setting, enterprise credit augmentation initial condition configuration and enterprise employee data index coefficient configuration; analyzing enterprise employee data; obtaining a final result value of the target enterprise credit enhancement assessment, and presenting the enterprise operation condition and the risk condition; and determining the credit amount range of the target enterprise according to the credit evaluation result value of the target enterprise. The real operation condition of the enterprisecan be obtained by analyzing the employee data condition of the target enterprise, and the efficiency and accuracy of enterprise credit evaluation are effectively improved.

The invention discloses a method for predicting the corrosion fracture risk of a bridge tension sling rod, which comprises the following steps of: S1, collecting the corrosion event data of the bridgetension sling rod; S2, the information of the fracture events of the tension sling bar being inversely analyzed based on the fault tree, and the corrosion risk scenario of the tension sling bar beingobtained. S3, selecting the cable replacement life of the cable rod as the classification index; S4 cluster analysis being carried out according to the information of cable rod replacement, and the cable replacement life being divided into the longest, the longest, the middle and the shortest. S5 establishing a simplified Markov matrix model of the deterioration of the annual technical conditionof the bridge, and calculating the probability distribution of the technical condition of the bridge when the average service life is reached; S6, calculating the degenerated Markov matrix parametersof each type of cable rod with different cable replacement years; 7, obtaining a risk occurrence probability model; S8, establishing a risk loss probability model; S9 obtaining the risk occurrence probability and risk loss probability of the cable-stayed bridge which need to be predicted, and calculating the death number and economic loss of the people who have lost all kinds of risk.