278 results about "Dynamic pattern" patented technology

The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and / or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and / or user community relationship. Various embodiments may include modeling and / or analysis of the dynamic nature of an item of interest's value to a user(s) / entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user / entity interests and / or characteristics, consider content semantics and evolutionary information, and / or using community relationships of users / entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

A method, apparatus and software for diagnosing the state or condition of a human, animal or other living thing, which always generates physiological modulating signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least one physiological modulating signal and obtaining a set of temporal-spatial values of each of said physiological modulating signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person, being or living things, and to use this data for diagnosis, tracking, and treatment and developmental issues.

An envelope tracking power amplifier system time-aligns a supply voltage to an input signal to a power amplifier. The power supply operates in a static mode for low amplitude input signals and operates in a dynamic mode for high amplitude input signals. In the static mode, the power supply produces a substantially constant supply voltage independent of the amplitude of the input signal. In the dynamic mode the power supply produces a dynamically varying envelope tracking supply voltage based on the amplitude of the input signal. A first delay is determined based on portions of the input and output signals captured during static operation of the power supply and a second delay is determined based on portions of the input and output signals captured during dynamic operation. A delay mismatch is estimated based on a difference between the first and second delays.

An industrial system configuration platform facilitates automation of an industrial system. The industrial system configuration platform comprises a representation of the industrial system and a configuration component that automatically configures at least a portion of the industrial system based at least in part upon metadata that describes the representation. A physical device can be automatically configured based at least in part upon the metadata, and a database can be generated and structured based at least in part upon the metadata. The industrial system configuration platform further enables an industrial process to be implemented based at least in part upon the metadata.

The invention discloses methods and apparatus that facilitate efficient querying of tables referencing semistructured data such as digraphs and other domains with complex grouping structure. The invention methods enable meaningful indexing of the tables as well as rewriting of queries with respect to the structures. Dynamic schema extraction using proper coloring algorithms is disclosed that structures the semistructured data in such a way that complex set operations and grouping are replaced with traditional relational joins. This enables a relational database system to harness its entire query optimizing capability when querying tables referencing semistructured data.

An envelope tracking power amplifier system time-aligns a supply voltage to an input signal to a power amplifier. The power supply operates in a static mode for low amplitude input signals and operates in a dynamic mode for high amplitude input signals. In the static mode, the power supply produces a substantially constant supply voltage independent of the amplitude of the input signal. In the dynamic mode the power supply produces a dynamically varying envelope tracking supply voltage based on the amplitude of the input signal. A first delay is determined based on portions of the input and output signals captured during static operation of the power supply and a second delay is determined based on portions of the input and output signals captured during dynamic operation. A delay mismatch is estimated based on a difference between the first and second delays.

A relational pulse oximetry alarm system and method is presented for earlier identification of the occurrence of an adverse clinical event. The system includes a pulse oximeter based microprocessor alarm system which provides an alarm based on a relational conformation of a plurality of time series and further based on the recognition of specific dynamic patterns of interaction between a plurality of corresponding and related time series including the occurrence of pathophysiologic divergence of two or more time series outputs. The processor is programmed to compare a first time series to a second time series to produce a comparison result, to identify a relationship between the first time series and the second time series, to identify a relational threshold breach, and to output an alarm based on the relational threshold breach. The system can include an oximeter testing system for predicting the timeliness of the response of the alarm of a pulse oximeter to the occurrence of an adverse clinical event.

A technique is disclosed for controlling data packet transmissions from a server to a client having a client buffer in accordance with a waiting mode and a dynamic mode. The waiting mode is performed before packets containing data encoded subject to a current bit rate have reached the client buffer; the dynamic mode is performed otherwise. In the waiting mode, down-switches to lower bit rates are allowed but up-switches to higher bit rates are disabled. In the dynamic mode, up-switches and down-switches are both allowed, with adjustments in the bit rate of packets controlled based, in part, on the amount of data contained within the client buffer when packets containing data encoded subject to the current bit rate first reached the client buffer. The two modes help avoid unnecessary rate switches.

A relational pulse oximetry alarm system and method is presented for earlier identification of the occurrence of an adverse clinical event. The system includes a pulse oximeter based microprocessor alarm system which provides an alarm based on a relational conformation of a plurality of time series and further based on the recognition of specific dynamic patterns of interaction between a plurality of corresponding and related time series including the occurrence of pathophysiologic divergence of two or more time series outputs. The processor is programmed to compare a first time series to a second time series to produce a comparison result, to identify a relationship between the first time series and the second time series, to identify a relational threshold breach, and to output an alarm based on the relational threshold breach. The system can include an oximeter testing system for predicting the timeliness of the response of the alarm of a pulse oximeter to the occurrence of an adverse clinical event.

The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and / or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and / or user community relationship. Various embodiments may include modeling and / or analysis of the dynamic nature of an item of interest's value to a user(s) / entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user / entity interests and / or characteristics, consider content semantics and evolutionary information, and / or using community relationships of users / entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

Various methods and systems are provided for inserting a user-selected pattern below a main application display when sensitive information is being requested or to be communicated. The border of the main application layer may also be modified at this time, either with or without the underlying pattern. This visual change provides the user an assurance that the application or site is authentic and not a phishing attack. The user-selected patterns are stored in secure areas, such as a secure element on the user device or in a cloud accessible by the application or site.

Various systems, methods, and machine-readable media are described for providing dynamic schema-based API mapping for traversing inter-cloud application boundaries. Embodiments provide for internal schemas to be created, enabling a system to create internal data objects from external data by using the internal schemas. Application schemas can then be created, enabling the creation of application data objects derived from internal data objects. The application data objects can be passed through an API to an external computing system, and can conform to any format specified by the application schemas.

Dynamic Patterns for Mobile Device Authentication is a computer-implemented method for authenticating to and unlocking a mobile device. The method comprises displaying a lock screen view with randomized placement of colored nodes and or numbered nodes and or other uniquely identified nodes on the mobile device to prevent unauthorized or inadvertent access to the mobile device's data. The mobile device, while locked, will detect a touch gesture corresponding to the placement of the uniquely identified nodes on a touch screen of the mobile device. The input touch gesture will vary for each authentication attempt based on the randomized placement of the uniquely identified nodes. A user is able to input the sequence of unique identifiers on the touch screen; and in response to input of the user-defined unique identifier sequence, causes the mobile device to unlock.

The invention discloses a living body detection method, a computer device and a computer readable storage medium. In the living body detection method, a multi-layer perceptron is trained by using a preset training set to determine a multi-layer perceptron model, continuous N-frame human face images to be detected is obtained, an intermediate frame human face image of the consecutive N-frame humanface images is switched from a first color space to a second color space, textural features of the intermediate frame human face image and dynamic pattern features of the continuous N-frame human faceimages are extracted, fusion features are acquired by fusing the textural features and the dynamic pattern features, the multi-layer perceptron model is used to perform feature mapping on the fusionfeatures, mapping features are output and normalized, a predicted probability value of a living body tag and a predicted probability value of a non-living body tag are obtained, and then the continuous N-frame human face images are determined as living body or non-living body human face images. The fusion features include the textural features and the dynamic pattern features, and thus the recognition accuracy and safety of living body detection can be improved.

A method, apparatus and software for diagnosing the state or condition of a human, animal or other living thing, which always generates physiological modulating signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least one physiological modulating signal and obtaining a set of temporal-spatial values of each of said physiological modulating signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person, being or living things, and to use this data for diagnosis, tracking, and treatment and developmental issues.

In a dynamic mode, firmware sets a threshold of errors that may occur within a predetermined period of time. If the threshold is exceeded, the firmware queries the front-side bus performance counters to determine whether the front-side bus is operating at its maximum data rate. If the front-side bus is not running at the maximum data rate, then the firmware bumps the data rate settings for the endpoint that exceeds the threshold by one step. If the front-side bus is running at its maximum data rate, then the firmware queries all the endpoints to determine which endpoints are active. The firmware then determines whether there are any active endpoints that are lower priority than the complaining endpoint. The mechanism drops the lower priority endpoints by one step and raises the complaining endpoint by one step.

A core-strengthening exercise apparatus is comprised generally of three primary components, namely a pair of identically shaped and configured swing arms each of which is pivotally mounted at or proximate to its midpoint to a substantially C-shaped transverse bar member. The apparatus has two general modes of use. In a first mode of use, referred to as the “static mode”, the subject apparatus may be oriented such that its swing arms rest on the floor with the bar member extending therebetween a distance above the floor to provide a stable gripping surface over which a plurality of exercises may be performed. In a second mode of use, referred to as the “dynamic mode”, the apparatus is flipped over such that only the bar member is in contact with the floor supporting the swing arms there above. In this mode, the user supports his or her upper body in the plank position over the apparatus by grasping either end of each swing arm and resting his or her forearms along the longitudinal axis thereof. The unique curvature and configuration of the bar member creates an inherently unstable interface between the user and the floor permitting side-to-side or back-to-front rocking motions, pivoting motions about a vertical axis, or combinations thereof, all requiring control over core muscles to prevent loss of balance.

An implementation of a system, device and method for projecting a visual indicator against a surface is provided. A display projection system in a handheld sensor device (e.g. a handheld wall scanner) projects a static or computer-controlled dynamic pattern of light onto a surface being scanned to indicate a specific feature, such as existence of solid structures of wood, metal or plastic, electric or magnetic fields, or a disturbance of a field. The projected light may be controlled by a computer via an aperture to allow flexibility in what is projected, such as icons, lines, graphics, characters and colors.

An indicator system for a vehicle is in communication with a control system installed within the vehicle and comprises an indicator display. The indicator display is located at a position a certain distance higher than the bottom edge of the vehicle's rear portion and includes a plurality of LEDs which can present different dynamic patterns indicating different status of the vehicle according to different types of instructions by the control system.

A tensioning device has a tension arm mounted on a base. A pulley is mounted on the tension arm for engaging a looped belt. By changing mounting bushings, one can select either a static mode wherein the tension arm is held stationary relative to the base, or a dynamic mode wherein, in response to a changing force applied between the pulley and the belt (due to vibrations or load changes, for example), the tension arm moves relative to the base in such a manner as to maintain the force substantially constant. Several such devices can be employed in a system for controlling the tension of a looped belt, one or more of the devices being in the static mode and one or more being in the dynamic mode. Several such systems can be employed in a complex machine such as a photocopier or medical apparatus for controlling the tension in a number of different belts.

A method and system for viewing and trading futures and other tradeable objects. The invention includes improved user interfaces for use with trading systems that allows users to more efficiently execute and manage trades. A dynamic price ladder allows a trader to see price gaps while remaining in a dynamic mode. The “sticky cells” feature prevents user errors which can occur when the display updates causing the cell under the mouse pointer to move up or down. Particular portions of the display can be color coded to provide a user with a easy way to determine market trends. A static working order screen allows a trader to visually see working orders from closest to furthest away from the market and can also allow for orders to be cancelled.

An improved deep packet filter system designed to optimize search of dynamic patterns for a high speed network traffic. The improved deep packet filter system is a hardware-based system with optimized logic area. One optimization technique is the sharing of common sub-logic in the hardware design to reduce the number of gates that are required. Another optimization technique is the use of a built-in memory to store portions of the pattern set, also resulting in a reduction of gates. The reduction of the logic area allows the deep packet filter system to be implemented onto a single field-programmable array chip.

The invention discloses a DSP and FPGA parallel multi-mode star image processing method for a star sensor, the processing algorithm of a star image is classified and optimized according to different working modes of the star sensor, and star image processing can be completed jointly by the DSP and the FPGA. The method comprises the following steps: under a capture mode, the FPGA completes image filtering processing to obtain a quasi star point pixel, and the DSP performs capture mode processing on the quasi star point pixel; under non-high-dynamic tracking mode, the FPGA completes image window intercepting processing, and the DSP performs non-high-dynamic tracking mode processing on a window pixel; under a high-dynamic mode, the FPGA completes the image window intercepting processing while performing pixel binning, and the SP performs non-high-dynamic tracking mode processing on the window pixel; star image data preprocessed by the FPGA can be directly stored in the chip of the FPGA, and an external image memory is not needed. According to the method, the star image processing speed is effectively increased on the premise that the accuracy is not affected, and the system configuration is simplified.

A technique is disclosed for controlling data packet transmissions from a server to a client having a client buffer in accordance with a waiting mode and a dynamic mode. The waiting mode is performed before packets containing data encoded subject to a current bit rate have reached the client buffer; the dynamic mode is performed otherwise. In the waiting mode, down-switches to lower bit rates are allowed but up-switches to higher bit rates are disabled. In the dynamic mode, up-switches and down-switches are both allowed, with adjustments in the bit rate of packets controlled based, in part, on the amount of data contained within the client buffer when packets containing data encoded subject to the current bit rate first reached the client buffer. The two modes help avoid unnecessary rate switches.

The invention discloses a colored dynamic three-dimensional moire image thin film based on micro printing and a preparation method of the colored dynamic three-dimensional moire image thin film. The moire image thin film comprises a transparent base material layer, a micro-lens array layer located on one side of the transparent base material layer, and a micro-pattern array layer located on the other side of the transparent base material layer. The micro-lens array layer comprises a plurality of micro-lenses arranged in an array. The micro-pattern array layer comprises a plurality of micro-patterns which are arranged in an array and are different in color. The array arrangement of the micro-lenses is matched with the array arrangement of the micro-patterns. The moire image formed by the moire image thin film is characterized by being colored, dynamic and three-dimensional, and an observer can directly observe a colored three-dimensional dynamic pattern without any special observation skills under any luminous environment.

Certain embodiments of the present invention provide systems and methods for mode-driven communication management. Certain embodiments include organizing a plurality of parameters into a profile representing a mode of communication operation. The plurality of parameters define a mode for a network. The network is configured in accordance with parameters of the profile. Quality of service is provided for communication on the network according to the profile. Certain embodiments provide a network communication system providing quality of service. The system includes a communication manager controlling a flow of messages in a network. The system also includes a message management rules module applying one or more rules to affect the flow of the messages in the network. The one or more rules are configured by a mode defined in a profile.

A system and method for providing semantic access of data in a master data management system. Data stored in a dynamic repository schema is exposed in a semantically accurate format. The schema is determined from information received from the master data management system describing the schema. A set of database views is generated based on said schema. A query from an external application in a standard query language is received and the query is performed using at least one database view. The database views are updated when a schema change is detected.

In a liquid crystal display (LCD) device, a plurality of pixels is driven to display a first frame and a second frame in sequence. A gray-scale difference between the first frame and the second frame is detected to determine a driving mode variation between the first frame and the second frame. The number of pixels driven by a dynamic mode and a static mode in the second frame is adjusted according to the driving mode variation. Gray-scale data corresponding to the pixels in the second frame is output.

The invention discloses a time-series similarity measurement method based on segmented statistical approximate representation. The method comprises the steps of feature extraction and dynamic pattern matching. First, a time series is segmented into sub series, the various statistical features of the sub series are sequentially extracted, and local pattern feature vectors are constructed; then the distance between the local pattern feature vectors is calculated by the weighted Euclidean distance, local pattern matching is achieved, the matched local pattern is used as the sub program of a dynamic programming algorithm, and global pattern matching is achieved. The method is superior to other measurement methods by a large degree on the aspects of measurement precision and calculation efficiency, and plays an important role in daily activities and industrial production of people, for example, financial transactions, traffic control, air quality and temperature monitoring, industrial flow monitoring, medical diagnosis and the like. Large scale sampling data or high-speed dynamic data flow is subjected to similarity-based search, classification, clustering, prediction, abnormal detection, on-line pattern recognition and the like.