87 results about "Risk element" patented technology

Managing a vendor may comprise identifying a product to be supplied to an entity. Risk elements associated with the product may be determined by performing a product category-driven risk assessment. A transaction level risk assessment is performed for one or more vendors proposed to supply the product to the entity. At least one management action is determined for reducing risk for a risk element of the plurality of risk elements associated with supplying the product to the entity by a selected vendor from a group comprising the one or more vendors proposed to the supply the product to the entity, wherein the at least one management action is determined according to results of the product category-driven risk assessment and the transaction level risk assessment for the selected entity. A vendor level quality plan for the selected vendor is created that comprises the at least one management action.

A method controls the speed of a motor vehicle in accordance with risk. Each risk element of a road segment is evaluated for the specific risk potential thereof by taking into consideration the perils and the actual speed of the driver of the motor vehicle. An integral risk potential is calculated for the road segment on the basis of the sum of the specific risk potentials of all detected risk elements. A system is provided to carry out the method of the invention.

A data processing system and method of using said data processing system for assessing and managing risk is disclosed. The preferred embodiment of the method includes the steps of identifying a set of risk elements; determining an importance for each said risk element; identifying any subrisks associated with said risk elements; identifying one ore more control procedures for each said subrisk element; assigning weights to each said control procedure; rating compliance with each said control procedure and calculating an overall weighed compliance score. The method may further include the steps of for each non-fully compliant subrisk, allowing the user to determine whether to accept the risk or generate an action plan addressing the risk. The method may further preferably include calculating future compliance scores based on said action plans. The system further provides for sorting and displaying compliance scores by a number of parameters.

The invention discloses a health management system and implementation method thereof, belonging to the technical field of disease prevention and control. The health management system comprises a computer application module, a special testing module and a health management module. The computer application module comprises a user information acquisition module, a health risk assessment module and a disease risk assessment module. The health management repertoire includes the following steps: setting up a health risk assessment database in the health risk assessment module; and setting up a disease risk assessment database in the disease risk assessment module. The health management system and the implementation method thereof have the advantages that through the health management repertoire, the risk of an individual getting certain specific chronic disease or the outcome of the disease in the future can be simply estimated, thus helping the individual to have a fuller and more comprehensive understanding about the risk and the gravity of the threat of the disease so that the individual can take comprehensive intervention against a specific cause or high-risk factor of the disease to prevent and reverse the progress of the disease. Therefore, the health management system and the implementation method can alleviate the living and economic burdens of the families and the society.

Methods and systems are provided for evaluating the risk of conducting financial transaction such as money transfers through representatives. In one embodiment, information generated by a money transfer system regarding a plurality of financial transactions conducted by one or more representatives are received, records of the information are stored in a transaction database, a risk processor is configured to access the transaction database and retrieve risk element data related to transactions conducted by the representative and an analysis of the risk element data is performed using the risk processor. The risk processor may be configured to process the risk element data into one or more risk element values and to calculate a Transaction Risk Index for the representative by comparing one or more of the risk element values to an appropriate risk proxy.

The present invention relates to a system and method for reducing risk to a firm and firm program and, more particularly, to reducing risk and improving yield or performance by considering firm strategic intent, phase, and integrated visuals. The current invention identifies, quantifies, and integrates strategic intent into the risk mitigation procedure by modifying the consequence chart, by dividing the program into phases, and by depicting risk related metrics, including strategic intent, that are associated with the risk element, the program, and / or the firm in a three dimensional graph.

The invention relates to a quick chemical leakage predicating and warning emergency response decision-making method which combines diffusion model simulation with a neural network and a gas sensor system and is applied to quick warning and aid decision making of leakage of harmful gas in an industrial park. The method includes park risk factor identification, numerical simulation, data screening, neural network training and sensor system and neural network model integration, wherein the park risk factor identification is used for identifying various possible leakage accidents, the numerical simulation includes simulating all the possible accidents to obtain a range of influences of the harmful gas, the data screening includes extracting and reconstructing an effective part in a numerical simulation result according to actual sensor layout, the neural network training includes training specific neural network models by the aid of screened data so as to acquire model parameters aiming for the specific industrial park and surrounding conditions and using redundant data for parameter validation, and sensor system and neural network model integration includes combining the models with a sensor DCS (distributed control system).

Log based analysis systems and methods for protecting computers and networks from malicious communications and malware attacks by analyzing log data obtained from client networks having network entities representing business units or customers. The system may further comprise a plurality of client asset machines, each operable to execute a security product associated with a security product vendor and log associated information of the network entities into at least one log file. The log files may be uploaded onto a log-analytics detection platform for analysis using learning algorithms operable to generate a risk factor attribute for at least one entity.

The invention discloses an output optimal operation method of a thermal power unit in the environment of ensuring electricity price bidding marketization, and the method comprises the following steps: establishing a manual input cost parameter table and a unit production real-time system database; establishing a generating fuel cost curve of the unit; calculating the start-stop cost and the fixed cost of the unit; calculating the environment cost of the unit, internalizing the environment cost and calculating the environment cost directly according to harmful gas emission and a discount standard; analyzing bidding risk; establishing an objective function of a mathematical model of economic operation of a single unit based on profit maximization; guaranteeing constraint conditions of optimal operation of the unit; and establishing the best output model table of the unit at various periods. The method considers the factors of environmental protection cost and bidding risk comprehensively, thus reducing harmful gas emission of the power plant when a generation company does not add environmental protection equipment, and moreover, reasonable analysis of the bidding risk can realize price bidding of low risk and high profit.

The invention discloses a risk evaluation method of an electric power communication network in the technical field of electric power communication. The risk evaluation method of the electric power communication network includes the steps of first collecting risk evaluation parameters of the electric power communication network, then structuring an index data base and a sample data base through the risk evaluation parameters, and finally training a neural network according to sample data in the sample data base and transferring the trained neural network to calculate corresponding risk value of the electric power communication network of index data in the index data base. According to the risk evaluation method of the electric power communication network, the index data is trained through the neural network, the inductive subjective factor in artificial given index weight is avoided, interference of odd data is avoided through network structure learning and network parameter learning, the quantity of redundancies in hidden layer nodes is reduced, neural network learning time is reduced, network learning speed is improved, corresponding index weight is adjusted automatically when novel risk factors appear, and thus risk evaluation method for the electric power communication network has good adaptivity and high precision.

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

A puzzle-based game system and method, having at least one risk element (e.g., wagering), is provided, enabling players to compete in a puzzle-based game of skill utilizing a system of risk-element-based rules, that are applied in a predetermined manner to: first partition a set of puzzles into a predefined plurality of puzzle elements, thereafter “dealing” the puzzle elements sequentially in a “round by round” sequence, and enabling, during at least a portion of the total game rounds, each player to selectively take one or more predefined risk-based actions (e,g., wagering), during a predefined time in each “risk” (e.g. wagering) round. The inventive system and method may also include an optional system and method enabling provision and management of dynamic online game environments and related infrastructures advantageously usable in plural multi-player online games having social interaction and competitive aspects, and utilizing virtual currency, with optional educational applications and / or advertising elements.

The invention discloses an information system risk assessment method and apparatus. The method comprises the following steps: determining values of basic risk elements of each assessment object in aninformation system, wherein the basic risk elements at least comprise three basic elements, namely assets, threats and vulnerability; for any basic risk element of any security domain in the information system, using the values of the basic risk elements of the assessment objects in the security domain as model factors, performing calculation by using a preset probability calculation model to obtain the values of the basic risk elements of the assessment objects in the security domain, wherein the weight value corresponding to the maximum value of the basic risk elements of the assessment objects in the security domain is the maximum; and performing calculation according to the above method to obtain the value of each basic risk element in the security domain, and figuring out the risk value of the security domain by using a risk assessment algorithm according to the value of each basic risk element in the security domain. A method for performing accurate risk assessment method on asset units and an entire security operation and maintenance center is provided.

The invention discloses a heterogeneous hazardous chemical substance transportation path planning method with a time window. According to the method, a dynamic load transportation risk assessment model considering the vehicle type and the parking time is provided by fully considering the transportation vehicle type, the transportation load, the transportation road information, the population distribution and the hazardous chemical substance information, and a multi-objective optimization model for planning a heterogeneous hazardous chemical substance transportation path with a time window is constructed. According to model characteristics, a hybrid multi-objective evolutionary algorithm based on variable neighborhood search is designed to solve the problem, and finally a heterogeneous hazardous chemical substance vehicle path planning method with a time window is determined. According to the invention, based on a traditional vehicle path planning method, hazardous chemical substance transportation characteristics are combined; risk factors of hazardous chemical substance transportation are considered, a heterogeneous hazardous chemical substance transportation path multi-objectiveoptimization model with a time window closer to the actual situation of hazardous chemical substance transportation is constructed, and finally a mixed multi-objective algorithm based on variable neighborhood search is designed to solve the model.

A puzzle-based game system and method, having at least one risk element (e.g., wagering), is provided, enabling players to compete in a puzzle-based game of skill utilizing a system of risk-element-based rules, that are applied in a predetermined manner to: first partition a set of puzzles into a predefined plurality of puzzle elements, thereafter “dealing” the puzzle elements sequentially in a “round by round” sequence, and enabling, during at least a portion of the total game rounds, each player to selectively take one or more predefined risk-based actions (such as placing a wager), during a predefined time in each “risk” (e.g., wagering) round. The inventive system and method may also include an optional system and method enabling provision and management of dynamic online game environments and related infrastructures advantageously usable in plural multi-player online games having social interaction and competitive aspects, and utilizing virtual currency, with optional educational applications.

Methods and compositions disclosed herein generally relate to methods of improving clinical and economic outcomes to address adverse effects related to anesthesia, analgesics, opioids, and inadequate pain relief. Embodiments of the invention relate to the association between genes, specific polymorphisms of genes, and non-genetic factors with inadequate pain relief and anesthesia-, analgesic, and / or opioid-related adverse effects. Embodiments of the invention can be used to determine and manage patient risk factors for development of adverse perioperative effects and can allow for personalized anesthesia and pain management for improvement of pain control and reduction of anesthesia-, analgesic-, and opioid-related adverse outcomes. These methods and compositions apply to non-surgical pain management with opioids. Therefore, patients who are genetically predisposed to risk of inadequate pain relief and / or serious side effects from anesthesia, analgesics, and / or opioids can be identified and individualized treatment plans developed for implementation by the clinician to improve clinical and economic outcomes.

A data processing system and method of using said data processing system for assessing and managing risk is disclosed. The preferred embodiment of the method includes the steps of identifying a set of risk elements; determining an importance for each said risk element; identifying any subrisks associated with said risk elements; identifying one or more control procedures for each said subrisk element; assigning weights to each said control procedure; rating compliance with each said control procedure and calculating an overall weighed compliance score. The method may further include the steps of for each non-fully compliant subrisk, allowing the user to determine whether to accept the risk or generate an action plan addressing the risk. The method may further preferably include calculating future compliance scores based on said action plans. The system further provides for sorting and displaying compliance scores by a number of parameters.

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.

Provided is a safety risk automatic recognition method based on a network-distribution production operation plan. The method uses the production operation plan as a carrier, performs comparative analysis of bearing capability between production operation situation and production power, power grid operation mode, on-site operation control and a plurality of factors leading to probability of faulty operation of a power supply enterprise, judges safety risks by means of assessment of matching degree between production task and personnel, time and power, and finally achieves safety risk automatic recognition of the network-distribution production operation plan. The method mainly comprises a safety risk factor recognition module and a safety risk analytical engine, has the advantages of improving power grid safety and power supply reliability, being capable of improving safety risk management level and the like, and has important effects and meanings in safety production prevention mechanism formation, safety risk avoiding and resolving, power grid safe development protection and enterprise safety and harmony promotion.

The invention provides a method for assessing risk of an electric power communication network. The method comprises the following steps: hierarchically analyzing various risk factors, and using risk factors with the same attribute as elements of the same risk factor set; acquiring a quantized value of degree of influence on risk between two risk factor sets; calculating a weight coefficient between the two risk factor sets according to the qualified value; calculating a risk value according to the weight coefficient; and adjusting the corresponding risk factor in the electric power communication network according to the risk value. The invention further provides a device for assessing risk of the electric power communication network. Due to the method and the device for estimating risk of the electric power communication network, the comprehensiveness of risk assessment of the electric power communication network is improved, the reliability of the electric power communication network is enhanced, and the work efficiency is simultaneously improved.

The invention provides a stroke onset risk prediction system and application. The invention provides the application of a composition of a reagent material and / or instrument equipment adopting the following individual risk factor information such as the age, gender, smoking, blood pressure level and treatment condition, diabetes, place of residence and blood fat measure value in a fasting state inpreparing the prediction system for evaluating the individual stroke onset risk. The invention further provides the prediction system for evaluating the individual stroke onset risk. The system is specially applicable to adult Chinese, the 10-year or life-long onset risk of the individual stroke can be accurately evaluated, and high risk individuals can be identified.

The invention provides a building construction site safety evaluation method based on an AHP. The building construction site safety evaluation method comprises the following steps: 1) constructing a building construction site safety evaluation index system X; 2) establishing a hierarchical structure; 3) constructing a judgment matrix and calculating a weight value; 4) consistency inspection; and 5) carrying out hierarchical total sorting, wherein the weight of each index in the building construction site safety evaluation index system relative to the total target can be obtained through the steps. According to the method, the influence degree of each risk factor on construction safety is obtained by calculating the weight of each index, then a safety evaluation system of a building construction site safety evaluation model is constructed by adopting a fuzzy comprehensive evaluation method, and corresponding safety countermeasures are provided. The result obtained through the method canobjectively reflect the safety production condition of the building construction unit, and safety management of the building construction site is effectively promoted.

The invention relates to a hydraulic and hydroelectric engineering construction diversion risk analysis technology and aims at overcoming the shortcomings of a traditional high rock-fill dam medium-term food season water retaining risk rate detection technology, providing a novel high rock-fill dam medium-term food season water retaining risk rate detection method, accurately and reasonably quantifying the medium-term food season water retaining risk rate and providing important basis for food season security risk assessment, construction schedule formulation and the like. The uncertainty of flood prevention food season elevation is considered in the method, and a high rock-fill dam project medium-term food season water retaining risk rate mathematical model is established. The uncertainties of shutdown day number and the daily average rising speed each month are considered, and a simulating calculation model of a dam body flood preventing flood season elevation is established. The randomness of the daily average rising speed each month is subjected to quantitative analysis. The randomness of hydroelectric, hydraulic and filling construction is comprehensively considered, and the water retaining risk calculation process is provided by coupling risk elements based on a Monte-Carlo method principle. The high rock-fill dam medium-term food season water retaining risk rate detection method is suitable for high rock-fill dam medium-term food season water retaining risk rate assessment.

The various embodiments herein provide a system and method for analyzing and assessing multiple risk factors to enhance the quality of source code during software development. The method comprises the steps of: identifying and analyzing multiple risk factors such as but not limited to identifying impact of removed or optimized cases on a source code; evaluating multiple risks and defining one or more test cases; and categorizing risk profiles for a series of test case. The risk profile is determined based on the ranking of the defect density, complexity of the code and change rate. The method for prioritizing the test cases based on the risks is provided. The method evaluates the test case scenario depending on the risk posed by the new source code. The method prioritizes which scripts need to be executed for a necessary and sufficient condition. Further, the scripts are determined by the correlation between the files, activities on those files, defects fixed by those files and test cases used to test those defects.

The invention relates to a severe infectious disease and mortality risk early warning system and method based on the virus detection rate. The severe infectious disease and mortality risk early warning system comprises a risk definition module, a risk element selection module, a risk network construction module, a risk evaluation prediction module and a graded early warning module. The severe infectious disease and mortality risk early warning system and method can effectively resolve the problems that an early warning mode based on infectious disease abnormal distribution judgment is inexact and not timely in judgment, prone to generating excessive early warning and the like and can be used for complementing and optimizing an infectious disease early-stage space-time early warning mode of a domestic infectious disease monitoring automatic early warning information platform.

An urban slope geologic disaster risk evaluation visual display method includes following steps: step 1, picking out all slopes probably causing geologic disasters in a target area, wherein the geologic disasters refer to serious damage caused to disaster-stricken objects by geologic motion; step 2, evaluating slope danger grade of each slope, and evaluating grade of damage caused to disaster-stricken objects probably existing around each slope when the slope is in geologic motion; step 3, determining risk grade in a danger and damage matrix according to the sum of the danger grade and the damage grade which are acquired by evaluation; step 4, marking and showing each slope with the risk grade determined on a geologic information map. Through a carrier of a geologic disaster risk evaluation visual product, risk of slopes in front and rear of own houses can be known clearly and visually; multiple risk factors are taken into consideration for comprehensive evaluation, so that risk and possible damage of landslide within jurisdiction are known comprehensively and accurately.

The invention relates to an interconnected grid unit combination model containing large-scale wind power, in particular to a multi-area interconnected grid unit combination model which takes into account various risk factors such as wind power, load uncertainty, system equipment failure and the like. Based on wind power and load uncertainty, typical equipment fault scenarios are selected, and theexpected loss of load and abandoned air volume caused by typical scenarios are introduced into the objective function in the form of penalty, the influence of various risks on the power grid is quantified, and the unit commitment model considering the system operation risk is established. The invention takes into account the operation uncertainties such as wind power output and equipment failure,and carries out risk assessment on the consequences caused by the system uncertainties to establish an interconnected power grid unit combination model. The scheme determined by the invention can solve the day-ahead unit commitment plan of the interconnected power network in a limited calculation time, realizes coordinated optimization of system operation economy and reliability, and has a popularization and application prospect.

The invention discloses a shield interval tunnel group section dividing method. The method comprises the following steps of (1) performing data analysis and theoretical calculation on the area affected by the tunneling of a shield, establishing a shield tunneling model according to the combined safety risk factor of the shield construction environment and the soil crossing properties of the shield tunnel, and performing experiment and research on the tunneling through the shield tunneling model; (2) dividing the grades of the soil layer of the shield tunnel crossing; (3) dividing the grades of the combined safety risk factors of the shield construction environment; (4) according to the grades of the soil layer of the shield tunnel crossing and the grades of the combined safety risk factors of the shield construction environment, comprehensively setting the applicable shield interval tunnel group sections; (5) according to the different shield interval tunnel group sections, setting relevant equipment, such as shield cutter discs and cutters, and by setting and optimizing the tunneling parameters, such as soil pressure, cutter disc torque, shield pushing force, pushing speed, penetration degree and cutter disc rotation speed, correcting the seepage amount, seepage coefficient and spouting working conditions.