82 results about "Preventive action" patented technology

A database of personal information is built and controlled by the individual users creating it. This database can then be used to enhance the functionality and user experience associated with multi-participant online communities. By collecting information from users themselves, and by allowing users to maintain such data, the data can have significant added value both to the users and to any commercial services that wish to use it. Appropriate precautions are taken to ensure that users maintain control over the data they choose to share. Data is owned by the user that provided it, and any application or release of such data is only performed at user direction and under user control. The users are also given incentives to provide such data, in the form of promised rewards. These mechanisms improve the amount and quality of collected data, so that comprehensive databases describing users can be built more easily and effectively.

A system and method for using continuous failure predictions for proactive failure management in distributed cluster systems includes a sampling subsystem configured to continuously monitor and collect operation states of different system components. An analysis subsystem is configured to build classification models to perform on-line failure predictions. A failure prevention subsystem is configured to take preventive actions on failing components based on failure warnings generated by the analysis subsystem.

A security risk management system comprises a vulnerability database, an asset database, a local threat intelligence database and a threat correlation module. The vulnerability database comprises data about security vulnerabilities of assets on a network gathered using active or passive vulnerability assessment techniques. The asset database comprises data concerning attributes of each asset. The threat correlation module receives threat intelligence alerts that identify attributes and vulnerabilities associated with security threats that affect classes of assets. The threat correlation module compares asset attributes and vulnerabilities with threat attributes and vulnerabilities and displays a list of assets that are affected by a particular threat. The list can be sorted according to a calculated risk score, allowing an administrator to prioritize preventive action and respond first to threats that affect higher risk assets. The security risk management system provides tools for performing preventive action and for tracking the success of preventive action.

Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle. A database that represents the road network is used to determine locations where a potentially hazardous condition exists. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken relating to the hazardous condition. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching the location where the potentially hazardous condition exists.

A system and method for using continuous failure predictions for proactive failure management in distributed cluster systems includes a sampling subsystem configured to continuously monitor and collect operation states of different system components. An analysis subsystem is configured to build classification models to perform on-line failure predictions. A failure prevention subsystem is configured to take preventive actions on failing components based on failure warnings generated by the analysis subsystem.

System for enhancing existing quality monitoring tools for monitoring and guiding agent performance within call centers, each of which provided with a plurality of agent terminals, a plurality of agent audio interfaces, and a plurality of software applications. The proposed system comprises a module for quality evaluation of agents skills and / or of compliance with business processes; a database for storing the results of the evaluation module, in the form of a plurality of profiles of performance; a Call Analysis System (CAS) connected to the database and with the software applications, for retrieving the profile of performance associated with an agent and for generating and transmitting a visual or textual or audio input regarding corrective and / or preventive action(s) required during the current interaction, to an agent terminal, based on the performance profile, and / or on acquired real-time call-based information, as defined by predetermined criteria.

Solutions for responding to security-related incidents in a computer network, including a security server, and a client-side arrangement. The security server includes an event collection module communicatively coupled to the computer network, an event analysis module operatively coupled to the event collection module, and a solution module operatively coupled to the event analysis module. The event collection module is configured to obtain incident-related information that includes event-level information from at least one client computer of the plurality of client computers, the incident-related information being associated with at least a first incident which was detected by that at least one client computer and provided to the event collection module in response to that detection. The event analysis module is configured to reconstruct at least one chain of events causally related to the first incident and indicative of a root cause of the first incident based on the incident-related information. The solution module is configured to formulate at least one recommendation for use by the at least one client computer, the at least one recommendation being based on the at least one chain of events, and including corrective / preventive action particularized for responding to the first incident.

Events related to an end-point connected with one or more devices are recorded and collected to observe end-point behavior and determine the risk of unfavorable conduct occurring on a network / system. The analysis may include a behavioral analysis that matches events to behaviors, and scores behaviors along factors or parameters of fraud including opportunity (O), pressure (P), and rationalization (R). Malicious behavior may be anticipated or identified prior to commission, allowing preventative measures to be taken or behavior intercepted within the early stages.

A method and apparatus for preventing collusion or collusion attempt situation within an online computerized gaming environment, wherein an at least one player participates from a remote computing platform in one of more games. The method and apparatus comprise defining the collusion or collusion attempt situations, defining preventive actions to be taken in response to collusions or collusion attempts, associating the situations with actions, determining collusion or collusion attempt situation in run time, selecting one or more actions, and performing the actions to prevent the collusion.

The invention provides a method of predicting and accessing level of a wildfire-caused trip risk in power transmission lines. Based on the power transmission line corridor fire risk level as an indicator and factors such as daily precipitation, temperature, wind speed, relative humidity, slope, sloping direction, road network density, population density, conventional solar terms and vegetation water content, influence factors to the wildfire occurrence risk are quantitatively assessed so as to establish a wildfire risk assessment model. During occurrence of a wildfire, based on the line trip risk level as an indicator and flame height bridge ratio, vegetation variety and vegetation distribution, the influence factors to the power transmission line trip risk level is quantitatively assessed in the case of the wildfire so as to establish a line trip assessment model. The method is applied to predicting and accessing the level of the wildfire-caused trip risk in the power transmission lines by integrating the two models. The method according to the technical scheme has the advantages that the trip risk in the power transmission lines can be subjectively predicted and assessed on the basis of real-time data, targeted preventive measures are taken in advance, wildfire-caused trip accidents of the power transmission lines are maximally decreased, and the method is significant to the improvement of safety and running reliability of the power transmission lines.

Presented are automated driving systems for intelligent vehicle control, methods for making / using such systems, and motor vehicles equipped with such automated driving systems. A method for executing an automated driving operation includes: determining path plan data for a subject motor vehicle, including current vehicle location and predicted route data; receiving, from a network of sensing devices, sensor data indicative of current object position and object dynamics of a target object; applying sensor fusion techniques to the received sensor data to determine a threat confidence value that is predictive of target object intrusion with respect to the vehicle's location and predicted route; determining if this threat confidence value is greater than a calibrated threshold value; and, responsive to the threat confidence value being greater than the calibrated threshold value, transmitting one or more command signals to one or more vehicle systems (e.g., powertrain, steering and / or brake system) to take preventive action.

Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle, in particular, a traffic light, stop sign or yield sign located at the bottom of a hill. A database that represents the road network is used to determine locations where a traffic light, stop sign or yield sign is located at the bottom of a hill. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken about the traffic light, stop sign or yield sign located at the bottom of a hill. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching a traffic light, stop sign or yield sign located at the bottom of a hill.

A system is disclosed for detecting predefined events occurring in operating power generation equipment at a customer location and for diagnosing and responding to the predefined events. The system includes a plurality of sensors at the customer location for monitoring the power generation equipment and collecting operating data from the power generation equipment, a monitor at the customer location for analyzing the operating data collected from the power generation equipment and for determining if any of the predefined events occurred during operation of the equipment, a management system at a location different from the customer location for storing and retrieving historical data pertaining to the operation of fleet power generation equipment and to the occurrence of the predefined events in the fleet power generation equipment, an analysis platform for analyzing whether any predefined events have occurred, the analysis platform including a first program resident in the monitor and a second program resident in the management system, and a plurality of coaching tools for using the collected operating data, determinations by the on-site monitor of whether any of the predefined events occurred, and historical data to determine the likely cause of any predefined events that have occurred and an action plan for responding to the events or to predict the consequences of the events and determine preventive action plans in response to the events.

The invention provides an enterprise safety production integrated management system and method. The enterprise safety production management elements are comprehensively analyzed, and the scattered single safety production management elements are integrated into an entire linkage management system so that informationized, normalized and standardized enterprise safety production management can be realized, the problems that the process of enterprise safety production management is incoherent and emergency linkage is not timely can be avoided, the safety risk can be effectively reduced, the safety production management level can be comprehensively enhanced and the enterprise production safety can be guaranteed; besides, the possible danger and accident state can be forecasted in advance so that the enterprise is enabled to take prevention measures in time in a targeted way, the accident occurrence probability and the severity of consequence can be eliminated and reduced to the greatest extent and various unsafe factors can be controlled from the source.

The invention discloses an invasion preventive intelligent safety protection system deployed in an unattended transformer substation. The invasion preventive intelligent safety protection system has the advantages that monitoring levels are divided by a camera according to the distances from invasion objects to standing walls and from high-altitude invasion objects to poles, regions in certain overhead ranges outside the walls or inside the substation are detected and monitored by infrared detection equipment, relevant actions of invasion preventive action execution units can stop the invasion objects from invading the unattended transformer substation, corresponding voice information in an audio library can be invoked by an auxiliary control host and can be broadcast when the objects enter the ranges at the monitoring levels, and accordingly shortcomings that transformer substation security and protection systems in the prior art mostly only comprise electronic fences and panoramic cameras, only actions can be implemented to prevent and record illegal invasion, the transformer substation security and protection systems are mostly only used for human invasion without livestock and wild animal invasion prevention and only certain actions for stopping implemented invasion without expelling measures or invasion warning and deterring can be overcome.

Improved techniques for accessing data storage systems are disclosed. These techniques detect, correct and prevent undesirable access delays experienced in storage systems. “Slow-access” refers to an access operation that does not successfully complete within a predetermined amount of time. When slow-access is detected, an attempt is made to provide data by other means rather than waiting for the access operation to eventually complete. By way of example, parity information is used to generate data rather than waiting beyond a predetermined amount of time for a “slow-read” operation to complete. In addition, preventative measures can be taken to avoid reoccurrence of a “slow-access” operating once it has been identified. These preventative measures, for example, include rewriting the same data to the same data section that caused the slow-access problem or remapping the section to another section in order to avoid the same section of data to cause another slow access problem.

A memory management system is implemented at an application server. The management system includes a configuration file including configuration settings for the application server and applications. The configuration settings include multiple memory management rules. The management system also includes a memory management framework configured to manage settings of resources allocated to the applications based on the memory management rules. The applications requests for the resources through one or more independently operable request threads. The management system also includes multiple application programming interfaces (APIs) configured to facilitate communication between the applications and the memory management framework. The management system further includes a monitoring engine configured to monitor an execution of the request threads and perform actions based upon the configuration settings. The actions include notifying the applications about memory related issues and taking at least one preventive action to avoid the memory related issues.

Techniques for improving access time in data storage systems are disclosed. These techniques can be used to prevent undesirable access delays that are often experienced in conventional storage systems. “Slow-access” can be defined as an access operation that does not successfully complete within a predetermined amount of time. The “slow-access” time can, for example, be defined based on a system requirement, specification, or a particular need of a specific application. As such, when detected “slow-access” indicates a potential performance problem that can manifest in undesirable effects. A data storage system is evaluated for potential performance problems by scanning it for “slow-access.” In addition, preventative measures are taken to prevent occurrence of a “slow-access” once it has been identified. These measures can prevent the undesirable effects experienced in conventional storage systems. This also means that specific system or application requirements can be certified and met.

A system for certification of animals, owners, attendants, venues, enterprises, and events relies on identification, traceability, and evaluation against selected criteria. Data maintained during agricultural production includes production, raising, selling, holding, treating, harvesting products like milk or wool, slaughter, transfer of ownership or venue, and veterinary and pharmacological interventions, whether medicaments, preventives, protocols, treatments, or inspections administered. Record keeping and selection, analysis, and notifications are according to criteria (particularly risks, exposures, or both) specified by any entity requesting or requiring a certification of a condition or lack thereof. Warnings may be triggered and distributed timely. Mobile units avoid traditional deficiencies in data, analysis, risk assessment, and timeliness.

A security robot that boards a mobile unit to protect the mobile unit from theft is provided. The robot has an internal sensor such as an acceleration sensor installed at the robot and generating an output indicative of condition inside the robot, an external sensor such as CCD cameras installed at the robot and generating an output indicative of condition outside the robot, an abnormality degree discriminator discriminating a degree of abnormality that the mobile unit is experiencing based on information obtained from the outputs of the internal sensor and the external sensor, and an action controller taking preventive action in response to the discriminated degree of abnormality. With this, it becomes possible to discriminate the degree of abnormal situations and act accordingly in response.

The invention relates to a method, system and a device for assessing the risk for periodontitis progression or for developing periodontitis, and a method, system and a device for prognosticating the outcome of a treatment procedure for treating periodontitis, on the basis of a risk score calculated on the basis of weight factors, which may be associated with numerical values, assigned to a plurality of measures corresponding to a plurality of predictors promoting periodontitis comprising host predictors, local predictors, and systemic predictors for periodontitis progression or for developing periodontitis for a patient. The invention provides among other things an objective tool that allows for preventive measures to be taken in time before severe and often irreversible damage caused by periodontitis has occurred, by taking into account the most important risk predictors promoting periodontitis, and in particular takes into account the synergy between these predictors. The invention also relates to a computer readable storage medium, on which there is stored a computer program comprising computer code adapted to perform one or more of the above-mentioned methods, and furthermore such a computer program.

The invention provides a semi-trailer truck multi-source information fusion rollover early warning method based on a DS evidence theory. The method comprises the following steps: firstly, defining three rollover characterization parameters and a real-time acquisition mode; and then calculating estimated rollover occurrence probabilities corresponding to the three rollover characterization parameters respectively, carrying out fusion processing on the probabilities by adopting a DS evidence theory to obtain an optimal probability of estimated rollover occurrence, and finally carrying out earlywarning in a grading manner according to the optimal probability of estimated rollover occurrence. According to the rollover early warning method provided by the invention, complex kinetic equations and vehicle body parameters do not need to be considered. The method has the advantages that the current rollover occurrence probability of the semi-trailer can be calculated only by redundancy processing of multiple pieces of low-cost sensor information, the rollover danger can be accurately quantified, early warning can be accurately and timely performed, a driver can take preventive measures assoon as possible, and rollover accidents can be reduced.

A method, system, and computer usable program product for predictively managing failover in a high availability system are provided in the illustrative embodiments. A disruptive activity occurring on the HA data processing system is detected. The disruptive activity has a potential to cause an operation of the HA data processing system to perform outside a specified parameter. A determination is made of a desired response in the HA data processing system should the disruptive activity disrupting the operation. A precautionary action is initiated with respect to the HA data processing system.

An arrangement and method is provided for determining the present condition and / or expected life of electric power lines via the measurement and analysis of the current into and the current out of the electric power line, thus permitting preventive action on electric power lines before problems arise. In this way, any departure from normal operation may also be detected, e.g. such as caused by a high-impedance fault or the like. The phase angle difference between the input and output currents provides a measure of the condition of the line, i.e. specifically, this phase angle shift between the input and output currents increases as the line ages and loss factors increase. Due to the inherent noise in the current signals, in one embodiment the phase angle shift is measured via a cross-correlation between the input and output current signals to provide the measured phase angle. This phase angle is compared to that of acceptable lines and a determination is then made as to the condition or quality of the measured line. Where the signals are extremely noisy, an auto-correlation process is carried out on one of the current signals to provide an error factor that is a measure of the possible error in the cross-correlation process. This error factor is then subtracted from the phase shift as measured in the correlation process to provide a more realistic estimate of the phase angle shift between the input and output currents.

The invention provides a method for early warning against coal rock burst dynamic disasters. According to rock burst disaster characteristics, an early warning model and an index and identification analysis mathematical model are constructed against disaster occurrence objective risk and preventive measure defects and management defects and the like, and a relevant early warning technology and system are formed based on a downhole sensor, a ground server and a basic data information platform and the like. According to the method, by utilizing the big data technology, rock burst disaster prevention and early warning are performed from the process, loopholes in each link are avoided, and the early warning and prevention success rate is ensured.

The invention provides an evaluation method for domino accident prevention of a petrochemical storage tank area. The evaluation method comprises the steps of constructing a hierarchical structure of an occurrence possibility of a domino accident cause of a tank area unit, and quantifying the domino accident cause through hierarchical calculation; constructing a grading guide and scoring criteria of fuzzy operation membership degrees, and effectively combining a fuzzy analytical hierarchy process with an LEC process to solve the problem of difficulty in quantifying an L value with an expert experience method during occurrence of an domino accident under the combined action of multiple factors; determining a danger level of the domino accident through a fuzzy hierarchy-LEC process formed by combination, and clearly determining key points of domino accident prevention of the storage tank area unit; and finally according to an evaluation result, analyzing the domino accident cause and proposing targeted suggestions and prevention measures for avoiding the blindness of domino accident prevention and ensuring safety running of the petrochemical storage tank area.

The invention discloses an intensive seismic zone landslide prevention and treatment engineering health assessment and maintaining method which comprises the steps of establishing of an assessment system of a blocking wall, an anti-sliding pile health diagnostic indicator system and a pre-stressed anchor cable health diagnostic indicator system. The assessment system of the blocking wall is subjected to assessment with a fuzzy comprehensive method and a grey theory method. According to the anti-sliding pile health diagnostic indicator system, lists are used for carrying out field investigation, deforming measuring, foundation pile non-loss detecting and drill core sampling verifying, and finally a conclusion is obtained. According to the pre-stressed anchor cable health diagnostic indicator system, a fuzzy comprehensive assessment method is used, assessment of sensitive factors (a damage range is larger than or equal to 60%) is carried out first, and when the damage range of anchor cable engineering is limited, general factor assessment is carried out. The method has the advantages that through health assessment of intensive seismic zone (side) landslide prevention and treatment engineering, the health state of certain prevention and treatment engineering can be quickly and efficiently judged, a structure damage position, a damage type and the damage degree are obtained, and accordingly preventive measures are carried out in advance.

Effective preventive method for infectious diseases, an enhancing method of an infectious disease-preventive action of cysteine and composition, food and feed effective for infectious diseases are provided. A method of preventing infectious diseases wherein cystine and the like and theanine are administered in combination, a method of enhancing an infectious disease-preventive action of cystine and the like, which contains administering cystine and the like and theanine in combination, a pharmaceutical composition, food and feed wherein cystine and the like and theanine are combined.