2166 results about "Potential risk" patented technology

Embodiments of the present invention are generally related to a system and method for comprehensive management and minimization of insurance loss. In particular, insurance perils and insured assets are monitored, potential perils to insured assets are assessed, possible actions are determined, and selected actions are executed involving actors such as the policyholder, insurance agent, mitigation responder, and insurance appraiser. Particular embodiments address damage mitigation during peril and incident management after peril, to the policyholder and / or insured assets. Particular embodiments address the interaction between re-insurance companies and the aforementioned actors and / or insurance companies or cedants to integrate the information and resources of each respective party to provide more comprehensive and economically efficient loss mitigation.

The invention discloses a multi-sensor information fusion-based forward collision and lane departure pre-warning device, which comprises a millimeter-wave radar, a communication interface module, a video camera, an image acquisition module, a display module, a warning module and a vehicle-mounted processing unit, wherein the vehicle-mounted processing unit can perform fusion processing of radar signals and machine visual information from the communication interface module and the image acquisition module. The pre-warning device is used for warning of forward collision and lane departure of a vehicle, and a pre-warning method comprises the steps of: driving devices; receiving and processing radar data and image data; fusing information; and finally displaying the fused information. According to the multi-sensor information fusion-based forward collision and lane departure pre-warning device disclosed by the invention, potential risk of collision during running of the vehicle can be found through the radar and the video camera so as to provide warning information for a driver. According to the pre-warning method disclosed by the invention, since a method of visible sensation combined with the radar is adopted, the accuracy rate of prevention of collision and lane departure of the vehicle is fundamentally improved, and the degree of accuracy can be increased by 5-20 percent as proved by experiments.

Systems, methods, apparatus and devices are described for monitoring a property of an object or an individual, using a conformal sensor device that substantially conforms to contours of a portion of a surface of the object or the individual. The measurement includes data indicative of a property of a temperature of the portion of the surface and the degree of the conformal contact. An analysis engine is used to analyze the data and to generate at least one parameter indicative of the property of the temperature. Based on a comparison of the at least one parameter to a preset threshold, at least one alert can be issued and / or a command can be transmitted to regulate an environmental condition. The at least one alert can be indicative of a potential risk of harm to the object or individual.

In some embodiments, systems and methods are disclosed for generating filters to determine whether a consumer is likely to have a scoreable credit record based on non-credit data, and to determine a potential risk level associated with an unscoreable credit record based on non-credit data. Existing scoreable and unscoreable records are compared to determine factors correlated with having an unscoreable record, and a multi-level filter is developed. Unscoreable records having at least one entry are compared to determine whether they are “good” or “bad” risks, factors correlated with either condition are determined, and a filter is developed. The filters can be applied to records comprising demographic data to determine consumers that are likely to have unscoreable records but represent good risks.

Systems and methods for promoting safety during operation of a passenger vehicle. Such a system / method may determine positions of rear and sideview mirrors of a passenger vehicle that are optimized for a particular driver of the passenger vehicle to minimize “blind spots” based on the driver and the particular vehicle configuration, and for moving the rear and sideview mirrors into the optimized positions. Alternatively or in addition, such a system / method may collect data corresponding to internal and external conditions of the vehicle, optionally establish a driver profile of typical driving characteristics from the collected data, determine potential risks and / or hazards from the collected data, and warn the driver of the potential risks and / or hazards.

The invention provides a method and a system for predicting cardiovascular and cerebrovascular disease risks. The method comprises the following steps: step 1, defining problems of cardiovascular and cerebrovascular disease prognosis risk prediction, step 2, collecting health medical data of cardiovascular and cerebrovascular disease patients; step 3, preprocessing data, including data integration, data cleaning, and processing missing data; step 4, constructing features and selecting features, identifying potential risk factors; step 5, the identified risk factors and rehabilitation outcomes forming an input-output sample set, inputting the input-output sample set to a random forest algorithm for model training, and evaluating prediction performance of a model. The method and the system can obtain health medical data of cardiovascular and cerebrovascular disease patients, the data being required by a clinician input model, and a predicted rehabilitation outcome of a patient in a certain time period in future is obtained through the model. The method and the system can preferably predict prognosis risks, so as to realize personalized accurate rehabilitation treatment.

A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; storing the signal representative of the set of prerequisite risks in an electronic memory; and aggregating potential risks linked to an entity to an entity risk profile (ERP). A computing device or system for mining risks includes an electronic memory; and a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with a corpus stored in the electronic memory.

A computer system-based automated loss verification system for evaluating the validity of claims filed under an insurance policy or debt protection contract is provided by this invention. Instead of requiring the claimant to contact the insurance company or lender to file the claim and provide exhaustive documentary proof of the validity of the claimed loss, the system pre-scores the relative risk of the claim using a risk assessment tool based upon predictive modeling and a number of potential risk factors. The associated automated loss verification tool uses this risk score and other information connected with the claim to assign a relative confidence level of proof of valid loss that must be satisfied before the claim can be approved through the adjudication process, and assigns a third-party supplied source or combination of sources of proof that can be automatically accessed by the system to validate the claim.

This invention relates to methods for reacting a hydrocarbon, molecular oxygen, and optionally water and / or carbon dioxide, to form synthesis gas. The preferred embodiments are characterized by delivering a substochiometric amount of oxygen to each of a multitude of reaction zones, which allows for optimum design of the catalytic packed bed and the gas distribution system, and for the optimization and control of the temperature profile of the reaction zones. The multitude of reaction zones may include a series of successive fixed beds, or a continuous zone housed within an internal structure having porous, or perforated, walls, through which an oxygen-containing stream can permeate. By controlling the oxygen supply, the temperatures, conversion, and product selectivity of the reaction can be in turn controlled and optimized. Furthermore the potential risks of explosion associated with mixing hydrocarbon and molecular oxygen is minimized with increased feed carbon-to-oxygen molar ratios.

A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; storing the signal representative of the set of prerequisite risks in an electronic memory; aggregating potential risks linked to an entity to an entity risk profile (ERP); and predicting a movement in a security associated with an entity.

A device is described that can be easily used to warn an athlete of potential risk of hyperthermia due to an elevated core body temperature. The mouth guard device continually monitors the users internal or core body temperature and emits an alarm signal when body temperature exceeds a preset value. This invention can protect the physical well being of an athlete as well as improve overall team performance.

Systems, methods, apparatus and devices are described for monitoring a property of an object or an individual, using a conformal sensor device that substantially conforms to contours of a portion of a surface of the object or the individual. The measurement includes data indicative of a property of a temperature of the portion of the surface and the degree of the conformal contact. An analysis engine is used to analyze the data and to generate at least one parameter indicative of the property of the temperature. Based on a comparison of the at least one parameter to a preset threshold, at least one alert can be issued and / or a command can be transmitted to regulate an environmental condition. The at least one alert can be indicative of a potential risk of harm to the object or individual.

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 (ri) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (ci) 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 computer implemented method, apparatus, and computer usable program product for generating a customer risk assessment score. In one embodiment, the process parses dynamic data associated with a customer to identify patterns of events. The dynamic data comprises metadata describing an appearance and behavior of the customer. The patterns of events are analyzed to identify risk assessment factors for the customer. A risk assessment analysis is dynamically performed using the risk assessment factors for the customer to generate a risk assessment score for the customer while the customer is shopping in a retail facility. The risk assessment score indicates a potential risk posed by the customer to the retail facility.

A process and tool for installing and removing various kinds of wear parts used with earth working equipment. The process and tool allows the operator to remove and install the wear parts at a safe distance so that the operator is physically remote from the potential risks of the removal and installation process. The tool may be manually operated via an operator or the tool may be a semi-automated or fully automated.

A system, method and article of manufacture for creating risk maps for risk assessment and management and, more particularly, for creating risk maps for graphically displaying different characteristics of risks. One embodiment provides a method of creating a risk map for graphically displaying characteristics of risks. The method includes determining N selected risks from a plurality of potential risks, where N is an integer; determining, for each of the N selected risks, a probability of occurrence, a relative severity of occurrence, and a risk evaluation factor; and displaying, for each of the N selected risks, the probability of occurrence, the relative severity of occurrence and the risk evaluation factor.

The invention provides a video analysis based abnormal behavior detection method and system. The video analysis based abnormal behavior detection method comprises the following steps of extracting pedestrian foreground images from video frames; performing mesh generation on the video frames to divide the video frames into a plurality of mesh areas and setting the mesh areas in which the pedestrian foreground images are arranged to be movement areas; marking the movement areas through a nearest neighbor method and correlating the movement areas of the adjacent video frames; calculating light stream characteristics of the marked movement areas; obtaining a weighting direction histogram according to the light stream characteristics; calculating entropy of the weighting direction histogram; selecting a detection threshold value through a Gaussian mixture model, detecting whether an abnormal behavior is generated or not according to the detection threshold value and the entropy of the weighting direction histogram and updating the detection threshold value. The nested state machine based deduction process control method can automatically detect the abnormal behavior in a video scene, avoid the abnormal behavior disturbing the public plate order and endangering the public security and personal safety, reduce personnel workload and avoid potential risks caused by leak detection and error detection.

A method and apparatus for creating a computerized market and integrated service chain for the aviation industry by use of a plurality of participant terminals using software tools and electronic devices. The present invention provides suppliers with specialized marketing and pricing tools for participating and non-participating aircraft operators and offers aircraft operators tools for displaying, managing, and analyzing suppliers' pricing and service offerings. The invention additionally creates a means for aircraft operators to integrate scheduling activities with the purchase of fuel and services in a paperless, detailed reporting environment, while using one or more credit providers but without the need for pilots to present any physical form of payment. In a preferred embodiment of the invention, suppliers are provided a method to display, manage, and integrate service requests from all aircraft operators. The present invention also creates a more secure operating environment for aircraft, crew members, passengers, airports, and the nation's infrastructure through a crew / passenger ramp access verification process and by transmitting to the aircraft operator, departure facility, TSA, FAA, NORAD, and other appropriate government agencies, risk scoring algorithms that quantify the potential risk posed by each aircraft.

The invention provides a method for early warning of sensitive client electric energy experience quality under the voltage dip disturbance. The method comprises the steps that based on the S conversion rapid algorithm and an increment SVM classifier, voltage dip disturbances of sensitive clients are automatically identified; based on identification results of the voltage dip disturbances, voltage tolerance curves of devices corresponding to multiple types of sensitive clients at different load levels are determined; historical monitoring data of the voltage dip disturbances serve as samples, the samples are converted into sample values of a voltage dip amplitude ponderance index MSI and a lasting time ponderance index DSI, a probability density function of the MSI and the DSI is determined on the basis of the maximum entropy principle, the sensitive device fault probability is evaluated, and the probabilities of the sensitive devices corresponding to the sensitive clients at the voltage dip level are obtained. By the adoption of the method for early warning of sensitive client electric energy experience quality under the voltage dip disturbance, the electric energy quality disturbance condition can be accurately monitored, whether a client load is influenced by the disturbance or not is determined according to the load sensitivity degree of each client, and potential risks of load operation are found.

The invention discloses a method for system penetration testing, comprising the following steps: S1, test target information of a system is acquired by use of a variety of public resources; S2, network information of a system test target is extracted; S3, online network host information of the system is detected; S4, all open ports of the system are scanned, and all services are enumerated through all the ports to position and analyze a loophole in the target system; and S5, the target system is penetrated by a loophole device. The invention further discloses a device for system penetration testing. By adopting the method and the device, provided by the invention, for system penetration testing, through static analysis of a source code, on one hand, potential risks can be identified, software can be detected from inside, and the safety of the code can be improved, and on the other hand, the quality of the code can be further improved, and the software security can be greatly improved.

The invention discloses an intelligent electrical equipment environment monitoring system based on cloud computing and big data analysis. The system comprises a cloud server, an intelligent master control device, monitoring devices and communication equipment communicating with the cloud server, wherein the monitoring devices are used for acquiring related data of an electrical equipment environment and transmitting the data to the intelligent master control device; the intelligent master control device is used for controlling the monitoring devices and transmitting the data received from the monitoring devices to the cloud server; the cloud server is used for receiving and storing the related data of the electrical equipment environment; a user accesses the cloud server through a mobile phone or a computer and then controls the master control device and the monitoring devices remotely. The system depends on cloud computing to perform big data analysis on online meteorological information, real-time data and historical data, intelligently monitors the monitoring devices of all nodes, evaluates the monitoring effectiveness, analyzes potential risks effectively and solves problems by which people are puzzled for many years about outdoor electrical equipment microenvironments, online micrometeorology monitoring, real-time intelligent control and the like.

A computer implemented method, apparatus, and computer usable program product for generating a customer risk assessment score. In one embodiment, the process parses dynamic data associated with a customer to identify patterns of events. The dynamic data comprises metadata describing an appearance and behavior of the customer. The patterns of events are analyzed to identify risk assessment factors for the customer. A risk assessment analysis is dynamically performed using the risk assessment factors for the customer to generate a risk assessment score for the customer while the customer is shopping in a retail facility. The risk assessment score indicates a potential risk posed by the customer to the retail facility.

The invention discloses an Internet financial risk monitoring system based on knowledge map, which comprises a data source module, a multi-label graph module and an analysis module. The data source module extracts entities according to different data sources, fuses entity knowledge, constructs relationships, integrates all the basic data sources from different business systems, and organizes theminto unambiguous and well-defined entity knowledge and definite relationships among entities according to business logic. The multi-tag graph module constructs a multi-tag knowledge map according to the knowledge acquired from the data source, and maps the social behavior and attributes of the members into the network map to form the behavior attributes association map of the members; The analysismodule analyzes the potential risk factors and characteristics of members in the process of Internet finance by constructing a good knowledge map. The invention changes the existing analysis dimension of the wind control model, thereby optimizing the traditional method that only the analysis dimension is added to improve the model precision.

The invention discloses a method and a system for achieving a mobile phone voice control function through an on-board host computer. The method comprises the steps of establishing a matching connected relation of the on-board host computer and a corresponding mobile phone in advance; conducting automatic matching connection with the mobile phone when the on-board host computer detects the corresponding mobile phone; sending a control instruction for starting the mobile phone voice control function to the mobile phone when the on-board host computer detects a user operating instruction for starting the voice control function so as to control the mobile phone to start the voice control function; and receiving voice signals of a user by the on-board host computer and sending the voice signals to the mobile phone, and executing corresponding operation according to the voice signals by the mobile phone. By means of the method and the system for achieving the mobile phone voice control function through the on-board host computer, the user can activate the siri function of the mobile phone through key operation on the on-board host computer, and so that the mobile phone can send short messages, make calls, check the weather and the like according to the voice signals of the user. Therefore, control to the mobile phone by the user in the driving process is convenient, potential risks in the driving process are reduced, adding hardware on the on-board host computer is of no need, and achieving cost is low.

The present invention belongs to the field of biotechnology, and discloses a serum-free culture medium with specific chemical compositions for in vitro culture and amplification of bone marrow mesenchymal stem cells. By adding insulin, transferrin, ethanolamine, sodium selenite, growth factors, adherent factors, hormone, putrescine, inorganic salt, vitamin, albumin and antioxidant into a basic culture medium, the bone marrow mesenchymal stem cells can attach to the culture medium under a serum free condition, so the in vitro culture and amplification are realized, the potential of multi-directional differentiation is maintained, and the amplified cells can be induced to be osteoblast and lipocyte in vitro. The serum-free culture medium has the advantages that the clinic level cell products for human produced by the serum free culture medium can effectively avoid the potential risk of producing cell products by serum culture medium. The drawing appended is a photo of the confluence of the bone marrow mesenchymal stem cells cultured by the serum-free culture medium.

The invention discloses a filter mesh automatic updating device, which is applied in a piece of equipment or a system. The filter mesh automatic updating device includes at least a filter mesh, a transmission device and a power device. The transmission device is used to drive the filter mesh to move; the power device is connected with the transmission device, so as to automatically drive the transmission device to drive the filter mesh to move according to the use state of the filter mesh, automatically update the filter mesh. The filter mesh automatic updating device of the invention can clean or replace the filter mesh in the equipments or the system by automatic control, so as to reduce potential risks and problems when the users remove the filter mesh. In addition, the filter mesh automatic updating device of the invention can also prevent the dust and particles collected by the filter mesh during updating of the filter mesh from flowing into the equipment or the system or back flowing to the environment from the equipment or the system.

The invention discloses a cluster sub-health early warning method and system. The method comprises the following steps of: obtaining historical operation data of a cluster; carrying out training and modeling according to the historical operation data of the cluster so as to generated a prediction model; obtaining real operation data of the cluster; taking the real-time data as an input and inputting the real-time data into the prediction model to carry out calculation so as to generate a prediction result; and judging whether the prediction result is located in a sub-health state or not, and generating an early warning signal to carry out warning when the prediction result is located in the sub-health state. According to the cluster sub-health early warning method and system, a data mining algorithm is applied to cluster operation log analysis through training and modeling, the prediction model is generated through carrying out training and modeling on the history data, and the real-time operation data is used as model input so as to predict the health condition of the cluster, so that the potential risks of the cluster can be predicted and the operation and maintenance personnel can be timely informed to carry out related processing before abnormality occurs, and then the heavy loss caused by cluster abnormality is reduced.

The invention relates to the technical field of a lithium ion battery, in particular to a lithium ion battery electrolyte for improving a battery pole piece interface. The lithium ion battery electrolyte comprises a non-aqueous organic solvent, a lithium salt and an additive, wherein the non-aqueous organic solvent comprises at least one of carboxylic ester, halogenated carbonic ester, aromatic hydrocarbon and halogenated aromatics thereof, and the additive comprises at least one of a lithium salt additive, fluoro carbonic ester, fluoro-ether, phosphonitrile and derivatives thereof. Compared with the prior art, the lithium ion battery electrolyte has the advantages that the solvent and the additive are used in a combination way to generate a synergic effect, the electrolyte has a favorable negative electrode interface in a low-temperature and rapid charging / discharging environments, no lithium is precipitated, thus, the requirements of low-temperature charging and discharging, rapid charging and discharging and high compaction density of a negative electrode pole plate can be simultaneously met, and meanwhile, the potential risk caused by lithium precipitation during the charging of the battery is reduced.

The invention relates to the field of energy storage device, in particular to a power battery module. The power battery module comprises a module housing, a cooling system, a plurality of cells and thermal runaway preventing structures, wherein the plurality of cells are regularly arranged in the module housing in parallel; the cooling system is arranged on the module housing; one thermal runaway preventing structure is arranged between two adjacent cells; each thermal runaway preventing structure comprises two heat-conducting layers and a thermal insulating layer; every heat-conducting layers are stacked at two sides of each thermal insulating layer respectively, and are connected with the cooling system; and the heat-conducting layers can transmit the heat on the side surface of the adjacent cell to the cooling system. According to the power battery module provided by the invention, one thermal runaway preventing structure is arranged between two adjacent cells; the heat between the two adjacent cells can be insulated; meanwhile, the heat on the side surfaces of the cells is timely transferred to the cooling system; and heat accumulation on the side surfaces of the cells is prevented, so that the potential risk of thermal runaway between the cells is lowered.

A system and method is provided to generate personalized savings recommendation and / or needed assignments of reference-date dependent investments. Recommendations and assignments are based on differences between a investor profile and an ideal representative that was used to construct the investments. The system provides a configurable increasing level of financial service based on a Methodology Publisher's configuration for reference date based investments. A forecast simulation system is provided for each investor with various optimizers by the Methodologically Publisher to provide various level of financial services and portfolio recommendations for reference date dependent investments. Reports may be provided to investors illustrating progress toward goals and highlighting distribution of potential risky outcomes. An online inter-active mode may allow an investor to provide further profile information and customize a solution to their needs.