2095 results about "State variation" patented technology

A progressive system (local and wide) where a primary and secondary progressive meter is maintained is disclosed. When a progressive win event occurs, there are two payouts: the first payout (defined by the primary meter) is paid to the player triggering the progressive payout event; the second payout (defined by the secondary meter) is paid to other players (or game devices) having “active” or “enrolled” status at the time of the primary payout event. The present invention provides a method for automating the “shared” win, including means for readily determining “active” players. A countdown meter may be used to enable the player a sufficient amount of time to continue play and be considered “active.” Additionally display meters may be used to indicate the status of the player or to warn the player of an imminent change in status. The progressive prizes may be funded using traditional methods (e.g., percentage of wagers, marketing budget). The progressive prizes may also be funded using expired prizes which have expired or lapsed.

A sensor is disposed in proximity to the gaming table. The sensor is adapted to sense an occurrence of an event on a surface of the gaming table and to output a change-of-state signal. The video camera or video cameras that are disposed in proximity to the gaming table are configured and positioned to be activated to collect the video information relating to activities on the gaming table, and circuitry is adapted to detect the change-of-state signal from the sensor. The circuitry further is adapted to activate the video camera or video cameras to automatically collect the video information upon the detection by the circuitry of the change-of-state signal from the sensor.

A computer system analysis tool and method that will allow for qualitative and quantitative assessment of security attributes and vulnerabilities in systems including computer networks. The invention is based on generation of attack graphs wherein each node represents a possible attack state and each edge represents a change in state caused by a single action taken by an attacker or unwitting assistant. Edges are weighted using metrics such as attacker effort, likelihood of attack success, or time to succeed. Generation of an attack graph is accomplished by matching information about attack requirements (specified in “attack templates”) to information about computer system configuration (contained in a configuration file that can be updated to reflect system changes occurring during the course of an attack) and assumed attacker capabilities (reflected in “attacker profiles”). High risk attack paths, which correspond to those considered suited to application of attack countermeasures given limited resources for applying countermeasures, are identified by finding “epsilon optimal paths.”

There is presented a reliable technique for measuring condition change in nonlinear data such as brain waves. The nonlinear data is filtered and discretized into windowed data sets. The system dynamics within each data set is represented by a sequence of connected phase-space points, and for each data set a distribution function is derived. New metrics are introduced that evaluate the distance between distribution functions. The metrics are properly renormalized to provide robust and sensitive relative measures of condition change. As an example, these measures can be used on EEG data, to provide timely discrimination between normal, preseizure, seizure, and post-seizure states in epileptic patients. Apparatus utilizing hardware or software to perform the method and provide an indicative output is also disclosed.

An object of the present invention is to provide a method, an apparatus and a system for automatically recognizing motions and actions of moving objects such as humans, animals and machines.

Measuring instruments are attached to an object under observation. The instruments measure a status change entailing the object's motion or action and to issue a signal denoting the measurements. A characteristic quantity extraction unit extracts a characteristic quantity from the measurement signal received which represents the motion or action currently performed by the object under observation. A signal processing unit for motion/action recognition correlates the extracted characteristic quantity with reference data in a database containing previously acquired characteristic quantities of motions and actions. The motion or action represented by the characteristic quantity with the highest degree of correlation is recognized and output.

A main power supply continuously provides a current to a power input terminal of an integrated circuit device under test (DUT). The DUT's demand for current at the power input terminal temporarily increases during state changes in synchronous logic circuits implemented within the DUT. To limit variation (noise) in voltage at the power input terminal arising from these temporary increases in current demand, a charged capacitor is connected to the power input terminal during each DUT state change. The capacitor discharges into the power input terminal to supply additional current to meet the DUT's increased demand. Following each DUT state change the capacitor is disconnected from the power input terminal and charged to a level sufficient to meet a predicted increase in current demand during a next DUT state change.

An improved dental appliance system, and methods for using and fabricating the improved appliance, including a polymeric overlay or shell having a teeth-receiving cavity formed therein and a wire mounted on or embedded in the polymeric shell. The dental appliance having the necessary stiffness or strength to firmly secure the appliance on the teeth and provide controlled forces required for repositioning the teeth, until such time as removal of the appliance is desired. The appliance may be configured for use with a removal mechanisim. The removal mechanism undergoes a state change stimulated by an environmental stimulus or environmental switch.

A system for real-time vulnerability assessment of a host/device, said system comprising an agent running on the host/device. The agent includes a a first data structure for storing the status of interfaces and ports on the interfaces of the host/device. An n executable agent module is coupled to the first data structure to track the status of interfaces and ports on the interfaces of the host/device and to store the information, as entries in said first data structure. The executable agent module compares the entries to determine a change in the status of interfaces and/or of ports on the interfaces of the host/device. A remote destination server is provided that includes a second data structure for storing the status of interfaces and the ports on the interfaces of the host/device. An executable server module is coupled to the second data structure to receive the information communicated by the agent executable module of the agent on the host/device. The executable server module stores the received information as entries in the second data structure wherein the entries indicate the state of each of the ports on each of the active interfaces of the host/device as received. The executable server module compares the entries in said data structures to determine the change in the status of interfaces and ports on the interfaces of the host/device. The executable server module runs vulnerability assessment tests on the host/device in the event of a change in the status of interface/ports.

A method for predicting change in an operating state, e.g. state of life, for an electrical energy storage device includes establishing a plurality of values for an operating parameter, e.g. current, of the electrical energy storage device and, for each respective value, determining a corresponding change in the operating state for the energy storage device based upon the respective value. Preferably, change in the state of life is determined based upon an integration of electrical current, a depth of discharge of the energy storage device, and an operating temperature factor of the electrical energy storage device.

In an image capturing apparatus, a video input unit (2) captures the image of an object and sequentially acquires image data associated with the image capturing, a model data memory (6) stores model data associated with the first feature quantity calculated from a feature point of the object in a model image, a principal object detection unit (3) calculates the second feature quantity from a feature point of the object in the acquired image data, a state change estimation unit (4) estimates, on the basis of the second feature quantity and the model data, the timing when the object satisfies a predetermined condition, and an image input processing control unit (7) stores the image data corresponding to the estimated timing in an image recording unit (5). This configuration makes the image capturing apparatus acquire an image in a more proper state without large-capacity memory.

The invention discloses a clustering type garbage automatic-identification assembly and an automatic classification garbage bin for the same, and relates to an automatic garbage identification method, an automatic garbage identifier, an automatic classification and separation device and an automatic classification and separation container. The clustering type garbage automatic-identification assembly is characterized in that a plurality of sound, light, electrical, thermal, magnetic, image, gas, piezoelectric and electrochemical identification sensors are used for identifying the physical properties, chemical properties, form, appearance, temperature, chemical components, electrochemical characteristics, electromagnetic characteristics, optical properties, acoustic characteristics, inner structure, biological characteristics, smell, state variations, flow characteristics, motion characteristics, matter state and identification contents and characters of garbage to acquire the characteristic information of the garbage, and the characteristic information is analogically identified through a control main board (4), and is converted into effective actions to accurately throw the identified garbage into a specified container to realize the automatic classification and separation of the garbage.

Systems and methods for detecting malware in a selected computer that is part of a network of computers. The approach includes inspecting a predetermined set of operational attributes of the selected computer to detect a change in a state of the selected computer. In response to a detected change in state, the selected computer is scanned to create a snapshot of the overall state of the selected computer. The snapshot is transmitted to an analytic system wherein it is compared with an aggregated collection of snapshots previously respectively received from a plurality of computers in the computer network. Based on the comparison, anomalous state of the selected computer can be identified. In turn, a probe of the selected computer is launched to gather additional information related to the anomalous state of the selected computer so that a remediation action for the anomalous state of the selected computer can be generated.

Disclosed are smart digital modules, a smart digital wall combining the smart digital modules, a context-aware interactive multimedia system, and an operating method thereof. The smart digital wall includes local coordinators for controlling the smart digital modules, and a coordination process for controlling the smart digital modules. The smart digital modules sense ambient states and changes of states and independently display corresponding actuations. The coordination process is connected to the smart digital modules via radio communication, and combines smart digital modules to control collective operations of the smart digital modules.

The invention relates to the determination of the clinical state of a subject. A respective adaptive transform is applied to at least one measurement signal acquired from the subject, each adaptive transform being dependent on previously acquired history data, and a diagnostic index is formed, which is dependent on the transformed measurement signal(s) and serves as a measure of the clinical state of the subject. In order to reliably evaluate the clinical state of a subject on a fixed diagnostic scale during changes in the state of the subject, some or all of the previously acquired history data on which an adaptive transform is currently dependent is replaced with other previously acquired history data when a predetermined event is detected. The predetermined event is indicative of a change in the respective measurement signal, and the introduction of the said other previously acquired history data sets the transform ready for the change.

The invention provides an improved storage area network (SAN) of the type having a digital data processor, e.g., a host, in communication with one or more storage devices, e.g., a LUN and, further, of the type having a plug-and-play (PNP) manager that generates an event in response to a change in status of at least one of the storage devices. The improvement is characterized by at least a selected process, that executes on the host (or other digital data processor) and that references at least a selected one of the storage devices using a previously assigned logical identification, e.g., a LUN ID. The improvement is further characterized by the selected process responding to an event generated by the plug-and-play by querying for information the storage device (or an interface thereto) with respect to which the event was generated. From that information, the process generates a logical identification for the device.

Provided are a method and apparatus for high-speed, multi-mode PAM symbol transmission. A multi-mode PAM output driver drives one or more symbols, the number of levels used in the PAM modulation of the one or more symbols depending on the state of a PAM mode signal. Additionally, the one or more symbols are driven at a symbol rate, the symbol rate selected in accordance with the PAM mode signal so that a data rate of the driven symbols in constant with respect to changes in the state of the PAM mode signal. Further provided are methods for determining the optimal number of PAM levels for symbol transmission and reception in a given physical environment.

Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device units and/or on a remote server computer that aggregates data from each of the units.

A method and system utilizes presence information in a device. The method and system include detecting at least one of a change in the status for the user or a change in an activity associated with a capability of the device. The detection of the activity change includes a second device communicating the activity change with a presence service. The method and system also include automatically altering the capability of the device if the change in the status is detected or automatically altering the status if the change in the activity is detected.

The invention relates to a PMSM servo system control method based on fuzzy and active disturbance rejection control. A position signal is given by a differential tracker to arrange a transition process so that the contradiction between rapidness and overshoot of a system is solved, and uncertainty, friction torques and external disturbance due to modeling errors of the system are observed via an expansion state observer; according to the error between the differentials generated by the differential tracker and state variation generated by the expansion state observer, a fuzzy inference rule is obtained with application of experimental experience of technical staff, so that a fuzzy rule control table of an error proportion coefficient, a differential coefficient and an integration coefficient is established; accurate control amount is obtained after de-fuzzification, so that parameter self-adaptive adjustment of a nonlinear error feedback control law is realized; and compensation amounts of the nonlinear error feedback control law and the expansion state observer to the total disturbance forms the control amount, thereby realizing optimal control for an controlled object. The method of the invention improves both tracking precision and disturbance rejection capability of the system.

The present invention provides a technology which can suppress a variation in a value after a write operation to minimum so as to facilitate multi-bit operation in a semiconductor device such as a phase change memory. A semiconductor device includes: a memory cell having a storage element (phase change material) that stores information depending on a state change by temperature; an I/O circuit; and means which, when writing data, performs a set operation and an operation for writing desired data, measures a resistance value of the storage element by means of a verify operation, and when the resistance value is not within a target range, performs the set operation and the write operation again while changing a voltage to be applied to the storage element.

In one embodiment, a state-varying hybrid stream cipher operating within a computing device. The state-varying hybrid stream cipher comprises at least two software routines. A first routine is responsible for dividing incoming plain text into variable-sized blocks. A second software routine is for converting the plain text into cipher text based on an encryption key, an internal identifier and perhaps a percentage of random data value.