795 results about "Operational behavior" patented technology

Means are provided for recording, storing, calculating, communicating and reviewing one or more operational aspects of a machine. Insurance costs are based, in part, on activities of the machine operator. A discount may be provided in exchange for recording the operational aspects and providing the recorded information to the insurer. The party may review information and decide whether to provide it to the insurer. The means for reviewing may present comparative information. Information that causes insurance costs to vary may be highlighted. Provided data may be used to verify insurance application information, generate actuarial information or determine insurance rates. Operating data may be reviewed on a computer, a Web site or other display medium so a party can observe how his operating behavior compares to that of other operators of similar machines and may be manipulated so a party can understand how changes in operating behavior can affect his insurance rates.

A computer-implemented method, system, and program product includes a behavior processing system for capturing a three-dimensional movement of an operator of a vehicle, wherein the three-dimensional movement is determined by using at least one image capture device aimed at the operator, and identifying at least one behavior of the operator from the captured three-dimensional movement. An operator monitoring system for a vehicle determines whether the predicted behavior and the current operational state of the vehicle indicate unsafe operation of the vehicle and the operator monitoring system notifies the operator when unsafe operator of the vehicle is indicated by the operator's behavior for the current operational state of the vehicle.

In one embodiment, a system may include a gas turbine system. the gas turbine system includes a gas turbine, an after-treatment system that may receive exhaust gases from the gas turbine system, and a controller that may receive inputs and model operational behavior of an industrial plant based on the inputs. The industrial plant may include the gas turbine and the after-treatment system. The controller may also determine one or more operational parameter setpoints for the industrial plant, select the one or more operational parameter setpoints that reduce an output of a cost function, and apply the one or more operational parameter setpoints to control the industrial plant.

The invention discloses a user intention recognition method and device. The method includes the steps that in the process that a first user and a second user conduct conversation through an instant messaging tool, a first conversation text sent to the second user by the first user is received; the target text content to be analyzed is determined according to the first conversation text; first behavior data of the operation behavior executed by the first user and related to the second user are obtained in a user behavior database associated with the instant messaging tool; semantic analysis is conducted on the target text content in combination with the first behavior data, and the user intention recognition result is determined. By means of the user intention recognition method and device, the real intension of users can be recognized more accurately.

In a method for monitoring plants with mechanical components, measured values (xiT; xiu) are determined at predeterminable time intervals for a fixed set of parameters (xi). The measured values (xiT) which are determined for various working points during a modelling phase are used for the generation of a model for the operating behavior of the components. With the help of the model for the operating behavior at least one monitoring value (r; snu) is derived at predeterminable time intervals which is independent of the respective current working point. The temporal behavior of the monitoring value (r; snu) is used for estimating the wear in the components and/or for the detection of operating disturbances.

In one embodiment of the invention, an integrated device is described that employs a mechanism to control power consumption of a graphics memory controller hub (GMCH) through both voltage and frequency adjustment of clock signal received from a clock generator. The GMCH comprises a graphics core and a circuit to alter operational behavior, such as the frequency of a render clock signal supplied to the graphics core. The circuit is adapted to monitor idleness of the graphics core and reduce a frequency level of the render clock signal if the idleness exceeds a determined percentage of time.

Methods, systems, and computer program products for summarizing operational behavior of a computer program are disclosed. A method for summarizing the operational behavior of a computer program may include executing a computer program in a mode that allows control over execution of the computer program. Execution of the program is paused at predetermined locations corresponding to each instruction in the computer program. For each location, contents of a call stack containing function calls made by the program that have not yet returned are recorded. For each function call in the call stack, information regarding conditions under which the function was called are recorded. Execution of the program is resumed until the next pause location is encountered.

The invention provides an automatic analysis method and system of malicious codes based on an API (application program interface) HOOK. An API HOOK technology and a remote thread implantation technology are utilized to monitor samples; influences of the malicious codes on the whole system in an operation process are recorded, and a dynamic analysis report is automatically generated; influences of malicious code samples on a file, a network, and a registry and a key process are recorded, and when the operation of the samples ends, the system recovers the state before the samples are executed; the whole monitoring, recording and reduction process ends automatically without manual intervention; monitoring software can only run a sample each time, the monitoring software is used for monitoring the host process of the samples and process threads created by the host process of the samples, and when the monitoring software finishes the monitoring, the system recovers the state before the samples are operated; behaviors such as creation, deletion, modification and the like of the malicious code samples on the file are detected, operation behaviors of the malicious code samples on the network are detected, behaviors such as addition, deletion, modification and the like of the malicious code samples on the registry are detected, and operation behaviors of the malicious code samples on the create process are detected; and finally the dynamic monitoring report on the malicious code samples is submitted, and when the monitoring is finished, the monitoring software carries out inversion operation to restore the system to the state before the samples are operated according to the operations and influences of the samples on an operating system. The intelligent analysis technology of the malicious codes is suitable for analyzing a great deal of samples without the manual intervention, and is quicker in analysis speed and less in garbage in the analysis report.

Information is scanned to a scanner memory. A user of the scanner is signaled when sufficient information has been obtained to determine at least one action associated with the scanned information.

The invention discloses a method and a device for detecting abnormal account numbers. The method for detecting abnormal account numbers comprises: acquiring account number behavior data, the account number behavior data comprising login behavior data of the account number and/or operation behavior data of the account number, the login behavior data of the account number comprising platform login information or login method information; according to history login data of the account number and/or preset abnormal operation data, detecting the acquired account number behavior data; and according to the detection result, determining the level of account number abnormity and notifying the account number. The method and the device can detect acquired login behavior data and/or operation behavior data of an account number, and determines the level of account number abnormity and notifies the account number, thereby reducing risk of the abnormal account number and improving security of the account number.

The invention discloses a personalized recommendation method and system based on a probability model and user behavior analysis. The method includes the steps that article information and article attribute information are extracted, and operation behaviors of users on articles are extracted; interest points are obtained according to the article attribute information and the operation behaviors of the users on the articles; user interest similarity is obtained according to the operation behaviors of the users on the articles, and similar users are obtained; a decay factor is obtained according to the operation behaviors of the users on the articles based on the time dimension, and a user model is set up; interest characteristic information, at all dimensions, of the users is obtained according to the user model; after filtering, a recommendation algorithm is adopted to generate results to be recommended, and algorithm fusion is conducted to obtain personalized recommendation results of the users. After original data is preprocessed, the user model is set up, the interest points of the users and essential information acquisition requirements are depicted accurately to provide accurate personalized recommendation, and therefore the problems of information overload and long-tail articles in the network are solved.

The embodiment of the invention discloses an information recommendation method. The information recommendation method comprises the following steps of: recording an operation behavior of a user; recording, searching and acquiring identical taste friends of the user according to the operation behavior of the user; and sending user identification information and/or operation behavior record of the identical taste friends of the user to the user. The embodiment of the invention also discloses an information recommendation system. The method and the system can fulfill the purpose of recommending possibly more interesting information to the user, and improve the efficiency and accuracy of recommending the information to the user.

A method for encryption data subdivided into segments of random lengths. A data source having a state corresponding to initialization parameters and the number of patterns output therefrom provides for a reversible encryption process. Decryption is accomplished by repeating encryption using a data source having an identical initial state. The data source consists random pattern generation machines (RPGMs). A portion of RPGMs may each contain patterns of a different length. Randomly selecting an RPGM and outputting a pattern therefrom effectively provides a pattern of random length. The data source may output patterns interpreted to govern the behavior of obfuscation operations. Patterns output from the data source may be interpreted as instructions as to what obfuscation to perform and what parameters shall define the obfuscation.

The invention relates to a detection and analysis method for the abnormal behaviors of a user in a big data environment. The method is characterized in that the method comprises the following steps: enabling a user abnormal behavior detection system to carry out the abnormality analysis of user access behaviors in an offline mode through machine learning according to the log record of the user in HDFS in one historical statistical period, and building a user behavior model; enabling the user abnormal behavior detection system to carry out the online comparison of real-time behaviors and historical behaviors based on the current real-time user's operation behavior in Storm; transmitting safety early-warning information to Kaffka and displaying the safety early-warning information at a Stream interface if the difference between real-time behaviors and historical behaviors is big, or else judging that the behavior is a legal safe behavior. Compared with the prior art, the method supports the definition of a behavior mode or a user portrait according to the historical use behavior habit of the user at a Hadoop platform through a machine learning algorithm. A training system updates a model each month in a default manner, and the granularity of the model is one minute.

The invention discloses an unmanned aerial vehicle simulation training system and a control method of the unmanned aerial vehicle simulation training system, and relates to the technical field of simulation training. The unmanned aerial vehicle simulation training system comprises human-computer interaction unit, a training unit, a behavior interaction unit, a virtual simulation model unit, a training evaluation data unit and a multimedia source unit. The human-computer interaction unit provides a visual window of a virtual unmanned aerial vehicle three-dimensional simulation model. The training unit provides a system operation manual, and represents a guide unit, an exploration unit and an assessment unit. The behavior interaction unit converts instructions of the human-computer interaction unit into control instructions on the virtual unmanned aerial vehicle three-dimensional simulation model, and drives the corresponding virtual simulation model unit to act. The virtual simulation model unit provides appearance and function states of the virtual unmanned aerial vehicle three-dimensional simulation model. The training evaluation data unit records operation behavior in the evaluation process, judges operation correctness and displays and stores the evaluation result. The multimedia source unit provides multimedia sources of equipment. The unmanned aerial vehicle simulation training system and the control method of the unmanned aerial vehicle simulation training system are high in interactivity and autonomous learning capacity, and training missions are carried out conveniently.

The invention provides a method and system for conducting parental control over mobile equipment. The method for conducting the parental control over the mobile equipment includes the following steps of monitoring and recording one or more kinds of information, including web addresses browsed by a user, geographical location information, installation events of application programs, and starting events of the application programs, of the mobile equipment, and uploading one or more kinds of information, including the web addresses browsed by the user of the mobile equipment, the geographical location information, the installation events of the application programs, messages received and sent by the user and call records, to a server, wherein the server receives records and provides an interface which enables a user to look up the records. The method and system for conducting the parental control over the mobile equipment has the advantages of monitoring operations of the user of the mobile equipment in real time and enabling a parent to monitor the operations of the user of the mobile equipment through access to data of the server.

The invention discloses a database auditing monitoring system and a database auditing monitoring method. The database auditing monitoring system comprises a hardware part and a module part, wherein the hardware part comprises a switchboard, a local area network and a database auditing server, the switchboard is respectively connected into the local area network at the two ends through a duplicated port, and is connected with the database auditing server through a mirror port, the local area network at the two ends is respectively communicated with a database accessing client and a database server, and the module part comprises a WEB management module, a local database module, a data collecting module and a data analysis and processing module. The database auditing monitoring system and the database auditing monitoring method have the advantages that various kinds of operation behaviors on the database server are monitored and recorded through a monitoring module arranged in the data analysis and processing module, through the analysis on network data, various kinds of operation and hostile attack event information on the database server can be analyzed intelligently in real time and is recorded into an auditing database so that inquiry and analysis can be realized in future, and the monitoring and the auditing on the operation of a target database system are realized.

The invention provides a man-machine recognition method and system, terminal equipment and a readable storage medium. The method comprises the following steps: dynamically acquiring image fragments of a verification code from a verification server, and recombining the image fragments so as to obtain a complete verification code; displaying the verification code and a corresponding verification instruction, wherein the verification instruction is used for indicating a trigger body to perform verification interaction based on the verification code and comprises an operation behavior indicating the trigger body to execute; acquiring an operation behavior trace of the trigger body in the process of performing verification interaction; transmitting the operation behavior trace to the server, so that the server performs man-machine recognition on the trigger body of the operation behavior trace according to a preset behavior characteristic model. According to the man-machine recognition method disclosed by the invention, whether a current operation user is a normal user or an abnormal user can be accurately recognized, the man-machine recognition accuracy is improved, and the user experience is improved.

A system integrity manager, system, computer program product and method for providing security may include transforming an operational behavior of an instance of a computing system from a general purpose computing system to a special purpose computing system. The operational behavior may be transformed by using at least one of a system integrity sensor and a system integrity effector and a set of system integrity policies and system integrity data.

The invention discloses a voice control method and apparatus for an application program. The method comprises: obtaining voice information input by a user, and determining an operation intention of the user according to the voice information, wherein the operation intention comprises an operation target and an operation behavior; generating a corresponding control instruction according to the operation intention of the user; and sending the control instruction to an application program corresponding to the operation target, so that the application program controls an interface corresponding to the operation behavior in the application program according to the control instruction. According to the method, the voice of the user is automatically identified, so that the operation intention of the user is analyzed more accurately and the operation target and the operation behavior are analyzed; and the operation behavior is finished in one step directly for the user according to the operation target and the operation behavior, so that the operation path of the user is shortened, the operation time of the user is saved, the demand satisfaction of the user is improved, and the user experience is improved.

The related garbage mail process system compromises: a garbage mail filter module in SMTP, a virus analysis module, a mail-box monitor 1, a trust database 2, and a trustness level judgment module 3 for calling the trustness value and comparing with the reference value, wherein the filter module modifies the mail trustness value according to all other process results. This invention improves system process capacity, and enhances protection on illegal access.