41 results about "Risk ranking" patented technology

Disclosed herein is a computer implemented method and system for ranking a user in an organization based on the user's information technology related activities and arriving at an end risk score used for determining the risk involved in activities performed by the user and for other purposes. Group risk ranking profiles and security policies for usage of the organization's resources are created. The user is associated with one or more group risk ranking profiles. A security client application tracks the user's activities. Points are assigned to the user's tracked activities based on each of the associated group risk ranking profiles. The assigned points are aggregated to generate a first risk score. The assigned points of the user's tracked activities are modified at different levels based on predefined rules. The modified points are aggregated to generate the end risk score which is used for compliance and governance purposes, optimizing resources, etc.

A computer system enables a business to reduce risks from phishing electronic messages. One or more original web links embedded in the electronic message may be replaced with a replacement web link. If the determined risk score for the original webpage is large enough webpage and the user clicks on the embedded web link, a user is directed to an intermediate webpage rather than to the original webpage. The intermediate webpage may provide details about the original webpage so that the user can make an informed choice whether to proceed to the original website. For example, the intermediate webpage may provide pertinent information to a user such as the actual domain of the remote site, the country the site is hosted in, how long the site has been online, and a rendered screen capture of the remote website, and / or a confidence score.

A method and system are provided for managing cybersecurity vulnerabilities of resources within at least one network. The method includes collecting data including application risk rank and network location. The method further includes determining a vulnerability score for vulnerabilities of the resources and determining a severity score based on the application risk rank and network location. The method additionally includes integrating the vulnerability score and the severity score to create a two-dimensional risk ranking and prioritizing remediation of the vulnerabilities based on the two-dimensional risk ranking.

A process hazard analysis (PHA) is performed in a data processing system. A chemical process to be evaluated is selected, after which a study type to be performed on the chemical process is also selected. The study type is conducted to evaluate the chemical process for the presence of hazard scenarios and any associated deficiencies requiring recommendations. After conducting the study, resolution plans to address the recommendations are generated. The study type used in the analysis may be customized or may be a known study type. The study type may use a risk matrix to generate a risk ranking for the hazard scenario. The risk matrix used may be created by the user, or may be a known risk matrix from another study type. After a resolution plan is generated, a resolution database may also be generated.

A risk ranking tool includes a retrieval engine, a data risk engine, an operational risk engine, and a data security engine. The data risk engine calculates, using graph data, a plurality of calculated data risk scores that each indicate an amount of data risk for nodes of the graph data. The operational risk engine calculates, using the graph data, a plurality of calculated operational risk scores that each indicate an amount of operational risk for nodes of the graph data. The data security engine determines whether any of the calculated data or operational risk scores equal or exceed a predefined score, and in response, initiates a security action related to the calculated risk score that exceeds the predefined score.

The invention discloses a method of risk ranking control of crossing engineering of urban rail transit. The method comprises the following steps of collecting related data and factors of design and construction; establishing an influence rank according to the influence degree of the construction; determining a specific area coverage of the influence rank according to the specific construction manner and range; analyzing through the influence area coverage determined in the step S3 and the related data and factors of design and construction, and establishing risk ranking; controlling and monitoring the risk ranking corresponding to different construction manners. According to the technical scheme of the invention, safety operation of the existing urban rail transit is guaranteed, the risk of the crossing engineering is effectively controlled, and the scientific management and the decision level for risk control of the crossing engineering of the urban rail transit are improved.

The invention discloses a fault mode and impact analysis method of modularized system design. The fault mode and impact analysis method can be used for reliability analysis and evaluation of modularized electronic product system design. The method comprises the following steps: 1, describing the system fault mode; 2, determining judgment levels of fault risk factors; 3, generating primary fault mode risk ranking; 4, establishing a stratification analysis model graph; 5, transforming the analysis model graph into an analysis model matrix; 6, calculating the analysis model matrix, and obtaining a fault mode correction vector; 7, using the fault mode correction vector for correcting the primary fault mode risk ranking, obtaining system fault mode risk ranking, and finding the fault mode with high risk according to the ranking. By means of the fault mode and impact analysis method of the modularized systematic design, it is convenient for a user to achieve dynamic analysis and accurate analysis on the reliability of the modularized electronic product system design at an early stage of the modularized electronic product system design, system weak links are found, and the basis for making improvement measures is provided.

The invention relates to the technical field of assessment, diagnosis and reliability of power transmission and transformation equipment, and particularly relates to a method for optimizing a maintenance strategy by using risk assessment of power transmission and transformation equipment. According to the invention, information sources required by risk assessment such as a fault tree structure, specialist experience, equipment whole process information and fault diagnosis are collected, the fault criticality and a criticality index are acquired through analyzing on the basis of the information sources, the risk level of the equipment is judged in a risk matrix, risk ranking is carried out according to the risk level, and a corresponding maintenance strategy is formulated.

The invention relates to a classified estimation method and device for vehicle insurance and belongs to the technical field of intelligent vehicles. The method comprises the following steps: risk characteristic extraction is performed firstly, risk characteristics of a driver and a driving vehicle are obtained, and then 8-dimensional risk characteristics describing driving behaviors of the driver are defined by combining with vehicle-mounted remote information; then a mathematical model for the risk characteristics and loss is established through logistic regression, model parameters are estimated on the basis of historical data with a maximum likelihood method, and value-at-risk thresholds of different risk ranking groups are determined after the model parameters are obtained; finally, risk characteristics and risk values of a to-be-estimated customer are calculated, and risk ranking is performed according to a risk rank table. According to the method, vehicle risks can be ranked through effective combination of driver information, driving vehicle information and driving behavior characteristics, artificial participation is not needed in the whole process, dependence on personal experience is avoided, and the method is direct, effective and convenient to use.

The invention discloses an improved FMEA method based on an interval intuitionistic fuzzy set and a mixed multi-criterion decision model. In the first stage, an interval intuitionistic fuzzy network analysis method is used to determine the weight of risk factors, firstly, the network structure diagram of risk factors and sub-risk factors is formed, the interval intuitionistic fuzzy pair comparisonmatrix is constructed and the aggregation degree is calculated, then the local ranking vector is calculated to obtain the initial super-matrix and weighted super-matrix, and finally the weights of all sub-risk factors are determined. In the second stage, an interval intuitionistic fuzzy comprehensive proportional evaluation method is utilized to determine the risk order of all failure modes, theset interval intuitionistic fuzzy risk assessment matrix is constructed for the first time, then the matrix is standardized and weighted to calculate the total risk and risk degree of each failure mode, and finally the ranking of all failure modes is determined. The fuzziness and uncertainty of expert language evaluation is overcome effectively. the hierarchy and interrelation of risk factors areconsidered. Thus, the risk ranking of failure modes is more accurate.

The present invention provides a quantitative evaluation method for failure risk of high-risk petroleum and petrochemical equipment, including the following steps: S1: analyzing the risk factors of failure modes in high-risk petroleum and petrochemical equipment to obtain the hierarchical structure of main failure modes; S2: establishing high-risk equipment The fuzzy fault tree analysis model and the fuzzy event tree analysis model of the system; S3: According to the fuzzy fault tree analysis model and the fuzzy event tree analysis model, establish the fuzzy Bow‑tie Model; S4: determine the fault in the fuzzy fault tree and fuzzy event tree analysis model Occurrence probability of each event in ; S5: Fuzzy risk and sensitivity analysis based on fuzzy Bow‑tie Model. Through the present invention, the quantitative evaluation of risk in the case of missing or uncertain data in risk analysis is realized, and the risk coefficient and risk ranking of key events are calculated, which can guide us to take appropriate equipment maintenance and risk control measures, thereby contributing to Enhance the reliability of high-risk equipment and reduce the probability of major risk accidents.

The invention discloses a machine learning-based drug risk ranking evaluation method. According to the method, on the basis of western drug report data in the adverse drug reactions (ADR) of Chinese drugs, a machine learning algorithm is utilized to study the problem of drug risk ranking; three main indicators, namely, a severity report rate, an ADR injury index and an ADR coverage rate, are usedas ranking standards; a support vector machine-based classification algorithm is used to perform risk ranking evaluation on the adverse drug reactions of Western drugs; and the drugs are classified into five safety ranks according to the risks of the adverse reactions. The method of the invention is of great reference significant for the evaluation of the risks of adverse drug reactions.

The invention discloses a high-dimensional evaluation method for oil field operation risk. Step 1) collect risk point data, and divide the risk point data according to four indicators: risk occurrence possibility, accident level, public opinion influence degree, and economic influence degree. 2) Select the risk points existing in the oilfield operation process to analyze the possibility and degree of influence, and draw the calculated data as a scatter diagram on the vertical axis of the degree of influence; 3) Use factor analysis to extract the original data Dimensionality reduction of effective information, calculation of factor scores of possibility and degree of influence, and drawing of factor risk matrix; 4) Quantitative determination of risk importance criteria by cluster analysis method, further optimization of risk matrix; 5) Reduction of existing data Dimensional quantitative analysis, using principal component analysis to complete risk ranking. The method described in the invention can be adapted to the operation risk assessment of different oil fields by adding pruning risk points, and the analysis results are accurate and suitable for popularization.

The invention relates to a blood sugar analysis system and a device. The system comprises a database, an input device, a processing device and a display. The processing device is connected with the database, the input device and the display. The processing device comprises a blood sugar recording module, an evaluation module and a ranking module. The blood sugar recording module acquires at least one actually measured blood sugar value within at least one measurement time period of a user, and records the actually measured blood sugar value into the database; and the evaluating module acquires the actually measured blood sugar value of the user in the measurement time period within an evaluating period from the database, and evaluates the degree of blood sugar risk of the user in the measurement time period according to the acquired blood sugar value which is actually measured, so that the degree of blood sugar risk of the user in the measurement time period is displayed by the display. When the number of the measurement time periods is multiple, the ranking module ranks the degree of the blood sugar risk of the user in the measurement time periods so as to generate a risk ranking list displayed by the display.

A method to facilitate credit and savings, where that method includes establishing a group setting, establishing an administrator for the group setting, and establishing variables for the group setting, wherein the variables include a risk ranking standard and a number (N) of participants, where (N) is greater than 3 and the risk ranking comprises a credit rating determined by a credit bureau.

A computer system enables a business to reduce risks from phishing electronic messages. One or more original web links embedded in the electronic message may be replaced with a replacement web link. If the determined risk score for the original webpage is large enough webpage and the user clicks on the embedded web link, a user is directed to an intermediate webpage rather than to the original webpage. The intermediate webpage may provide details about the original webpage so that the user can make an informed choice whether to proceed to the original website. For example, the intermediate webpage may provide pertinent information to a user such as the actual domain of the remote site, the country the site is hosted in, how long the site has been online, and a rendered screen capture of the remote website, and / or a confidence score.

The invention discloses a movement function evaluating system related to muscle abilities of old persons. The movement function evaluating system comprises a data collecting module, a graphic interface operation database module, a gait data visualization module and an old-person tumbling risk evaluating module, wherein the data collecting module is used for inputting basic data of more than 1,000old persons covering different ages and collecting corresponding old-person movement capture data and old-person plantar pressure data; the graphic interface operation database module is connected with the output end of the data collecting module; the gait data visualization module is connected with the output end of the graphic interface operation database module; the old-person tumbling risk evaluating module is connected with the output end of the gait data visualization module, and old-person tumbling risks are classifies with a SVM. According to the movement function evaluating system related to the muscle abilities of the old persons, movement functions related to muscle abilities of the old persons can be evaluated, complex physical checking does not need to be carried out on the old persons, the walking process of the old persons is only observed, and tumbling risk ranking of the old persons can be obtained.

The invention discloses an atrial fibrillation management method and system, wherein the method comprises the steps: acquiring, by a server, patients' medical records, survey forms and physiological data parameters to generate the patients' electronic files; generating, by the server, scoring results for the patients' anti-clotting assessment according to the electronic files; performing risk ranking on the patients according to the scoring results; generating corresponding medical care plans for the patients of different risk levels; acquiring the corresponding medical care plans for patientuser terminals, and controlling the medical care plans; acquiring, by the server, the patients' current feedback records, generating assessment results according to preset rules, and updating the electronic files according to the feedback records and the assessment results; updating the medical care plans by the server according to the updated electronic files. In the invention, post-discharged continued nursing is performed according to the medical care plans matched with the patients' risk levels after the patients are out of hospital, corresponding monitoring is taken in feedback manner through the patient user terminals, and therefore, the risk of bleeding is reduced for the patients.

Aiming at the characteristics of various risk sources, upstream and downstream accumulation, complex and multiple risk receptors and the like of river basin environment risks, the invention discloses a method for evaluating river basin accumulation environment risks on the basis of GIS (Geographic Information System) technology effective insertion components. The method comprises the following steps of: firstly, with a chemical engineering park along the river within a river basin range as an environment risk evaluation point source, quantifying environment risk source dangers through relevant quantitative models such as a fire model (Exergy); secondly, establishing a GIS space accumulation model, coupling a river basin dispersion one-dimensional water quality mode, calculating a river basin environment risk accumulation field, acting the river basin environment risk accumulation field on a service range of a water taking hole through the water taking hole; thirdly, evaluating the vulnerability of an environment acceptor along the river; and finally, determining the level of the region risks through risk strengths and operation results of acceptor vulnerability evaluation levels, and generating a river basin environment risk ranking graph on the basis of a space display function of a GIS. The method can be widely applied to regional environment risk evaluation, regional industry layout plan, soil utilization plan, environment risk management, and formulation of pollution accident prevention measures and emergence plans, and has the characteristics of high efficiency, low cost, high precision, wide appliance range and the like.

The invention provides an electrical power system risk ranking method. The electrical power system risk ranking method can be used to formulate risk level standards of an electrical power system in different seasons, and obtains a current risk level of the electrical power system in a current season according to the risk level standard of the electrical power system in the current season. Compared with an existing ranking method, the electrical power system risk ranking method does not need to set a multiple attribute decision matrix or index weight, avoids influences of subjective factors, can scientifically and objectively evaluate overall risks of the electrical power system, and is high in accuracy. The invention provides an application which guides run scheduling of the electrical power system according to a risk ranking result of the electrical power system. When running modes of the electrical power system change or a device breaks down, the system risks are uniformly ranked according to the formulated risk level standard under a basis running mode of the electrical power system in the current season, the ranking result can intuitively reflect influences on the system risk level, caused by changes of the running modes and device failures, electrical power system run scheduling personnel are guided by the ranking result to adopt control measures to keep the system risks at the acceptable risk level.

The invention discloses a four-chromatic-graph management platform for risk ranking of an enterprise safety electronic fence. The platform comprises an infrared sensor, a pressure sensor, a lighting-prevention module, an electronic fence terminal detection module, the electronic fence, an electronic fence controller, an automatic alarming device, a high-decibel warning signal, a wireless signal transmission module, a wireless signal encryption module, a wireless signal receiving module, a linkage equipment controller, a searchlight, a signal identification module, a central management server,a workstation, a video monitoring camera, an infrared thermal imager, a fingerprint identification module, a hard disc encryption module and a database reading module, and the pressure sensor, the infrared sensor, the lighting-prevention module and the electronic fence terminal detection module are connected with the electronic fence. The platform has the advantages that through the arrangement ofa first-grade alarming system, a second-grade alarming system, a third-grade alarming system and a fourth-grade alarming system, security personnel can make corresponding measures according to the intrusion strength of an intruder.

A method and system are provided for managing cybersecurity vulnerabilities of resources within at least one network. The method includes collecting data including application risk rank and network location. The method further includes determining a vulnerability score for vulnerabilities of the resources and determining a severity score based on the application risk rank and network location. The method additionally includes integrating the vulnerability score and the severity score to create a two-dimensional risk ranking and prioritizing remediation of the vulnerabilities based on the two-dimensional risk ranking.

The invention discloses a ship navigation dynamic risk inference system and method based on fuzzy logic. The ship navigation dynamic risk inference system is established by adopting a data collection module, a risk inference module, a risk ranking and early warning module and a man-machine display module. The mature fuzzy logic in artificial intelligence is applied to the field of ship navigation risk measurement so as to promote automation of risk measurement. The ship navigation dynamic risk inference method based on fuzzy logic is used for effectively processing uncertain information in the ship navigation risk measurement, can overcome ship safety risk state misjudgment caused by man-made subjective factors, and provides the reference data for ship safety control.

The invention discloses a method for quantitatively calculating integrated risks of shaft integrity. The method comprises the following steps of: analyzing failure forms of shafts, discuss failure inducements and researching factors inducing the failures; analyzing severity degrees of shaft integrity damages and carrying out grading; determining probabilities of inducing shaft integrity damages by certain and uncertain factors; calculating risk grades of evaluation factors; carrying out risk sequencing on possibilities of different shaft integrity damage conditions; comparing importance of indexes in shaft shield risk factors; and carrying out integrated risk evaluation on the shaft integrity by utilizing a risk matrix method. The method has the advantages that only single risk factors are analyzed and the boundedness of shaft integrity failure risk factors is determined by means of professional experiences of experts, so that the discrimination of shaft key risks can be instructed preferably, the potential safety hazards can be decreased or eliminated in time, and the shaft safety during the operation can be ensured.

A gridding global financial commodity screening method includes the following steps: setting parameter values, including the risk ranking equal division value m, the income ranking equal division value n and the predetermined number k of financial commodities; calculating the risk value and income value of each commodity, converting the financial commodities into coordinates, and equally dividingthe financial commodities into m groups according to the risk ranking of the risk values of the financial commodities, wherein the value of m is determined by the tolerance of an investor to the riskvalues; dividing the groups into n grids according to the income ranking of the income values, selecting the financial commodities contained in a calibrated grid, and calculating the number of the financial commodities contained in the calibrated grid; and finally, calculating the Markowitz market efficiency frontier of the selected financial commodities to produce a best portfolio so that the investor can choose financial commodities for investment based on risk preference.

The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of determining network segmentation. The innovation can search a network to determine a set of network entities, the network entities belonging to the network, and determine network factors of each network entity in the set of network entities. The innovation can evaluate each network factor and determine segmentation candidates based on the evaluation of each network factor. The innovation can determine a risk ranking for each network factor for each network entity and aggregate each risk ranking into a segmentation score for each network entity. The innovation can determine a segmentation candidate when a network entity segmentation score satisfies a threshold score. The innovation can generate a sub-network that is part of the network for the segmentation candidate, and transfer the segmentation candidate to the sub-network.

The invention relates to a method for controlling chlorine dioxide and chlorous acid root of desalting system in power plants. Currently, the standard of controlling chlorine dioxide both at home and abroad mainly focuses on the drinking water field and has not extended to the desalting system field yet. Due to the absence of related standards, power plants are blind to the application and control of chlorine dioxide, thereby generating many problems. The technical scheme of the invention is characterized by monitoring the concentration of chlorine dioxide via measuring ORP. When the concentration of chlorine dioxide in the desalting system exceeds standard, the following emergency processing measure is adopted: adopting three-grade ORP control standard for ion exchange desalting system and reverse osmosis desalting system, with corresponding three-grade responding strategies. The invention provides different strategies corresponding to different risk rankings, thereby substantially improving the security of chlorine dioxide application in desalting system of power plants and promoting the application of the chlorine dioxide in the whole water treatment industry.

The invention discloses a user contact point failure analysis method in a service-oriented design process, and aims at solving the problems that the number of user contact points in the service design process is large, the related range is wide and the failure analysis direction is uncertain, and can guide the remodeling direction of the user contact points so as to improve the service quality. According to the method, on the basis of a traditional service design user contact point process, a service design user contact point failure analysis and remodeling model is constructed, user perception is used as a failure factor to determine a weight index, and user experience is more comprehensively considered. The method includes identifying and carding user contact points in a specific service process; performing importance satisfaction evaluation analysis quantification on the identified user contact points to determine key user contact points; taking user perception as a failure factor to establish a failure analysis model so as to comprehensively evaluate failure risks of key user contact points, determining failure risk values from different directions to output a risk ranking result, and then providing an optimal design direction for the user contact points.

The invention provides a rainfall capacity risk ranking method and apparatus used for geological disaster region assessment pre-warning. The method and the apparatus are used for the geological disaster region assessment pre-warning. The method comprises the following steps of dividing the whole nation into a plurality of points, and calculating accumulated rainfall capacity of each point in a preset time; determining a first rainfall capacity level and a first rainfall capacity ranking weight of each point falling into each province according to the accumulated rainfall capacity of each point in the preset time; dividing the whole nation into a plurality of geological environment regions; determining a second rainfall capacity level and a second rainfall capacity ranking weight of each point falling into each geological environment region according to the accumulated rainfall capacity of each point in the preset time; and coupling the first rainfall capacity ranking weight and the second rainfall capacity ranking weight corresponding to each point, and generating a rainfall capacity ranking graph. According to the method provided by the invention, the influences of rainfall capacity on different provinces and different geological environments are considered at the same time, so that the actual conditions are better met and the potential safety hazards are reduced.