350 results about "Data adaptive" patented technology

A method and apparatus are disclosed for performing adaptive run-time power management in a system employing a CPU and an operating system. A CPU cycle tracker (CCT) module monitors critical CPU signals and generates CPU performance data based on the critical CPU signals. An adaptive CPU throttler (THR) module uses the CPU performance data, along with a CPU percent idle value fed back from the operating system, to generate a CPU throttle control signal during predefined run-time segments of the CPU run time. The CPU throttle control signal links back to the CPU and adaptively adjusts CPU throttling and, therefore, power usage of the CPU during each of the run-time segments.

A system and method for effectively encoding and decoding electronic information includes an encoding system with a tiling module that initially divides source image data into data tiles. A frame differencing module then outputs only altered data tiles to various processing modules that convert the altered data tiles into corresponding tile components. A quantizer performs a compression procedure upon the tile components to generate compressed data according to an adjustable quantization parameter. An adaptive entropy selector then selects one of a plurality of available entropy encoders to most effectively perform an entropy encoding procedure to thereby produce encoded data. The entropy encoder may also utilize a feedback loop to adjust the quantization parameter in light of current transmission bandwidth characteristics.

Embodiments of the disclosed subject matter provide systems and methods of adaptively adjusting sensitivity of a sensor of a security system that provide a first sensor to detect a motion event of a door or window of a building, and a controller communicatively coupled to the first sensor, to determine whether the detected motion event is a human-caused motion event or a periodic motion event by a comparison between data of the detected motion event and stored motion data, and to generate a security exception when the detected motion event is determined to be a periodic motion event, where the controller adaptively adjusts a sensitivity of the first sensor to detect the motion event according to data aggregated by the first sensor over a predetermined period of time.

Systems, methods and computer accessible medium are provided through which an input data stream consisting one or more media regions before entering a network to be rendered by a display coupled a remote video frame buffer is compressed on the basis of one or more configuration file metadata, source primitive metadata, and application high-level metadata of identified media regions. The input data stream is compressed by using one or more MPEG compression, JPEG compression, vector graphics compression, Huffman coding, or user defined compression scheme.

A system and method for effectively encoding and decoding electronic information includes an encoding system with a tiling module that initially divides source image data into data tiles. A frame differencing module then outputs only altered data tiles to various processing modules that convert the altered data tiles into corresponding tile components. A quantizer performs a compression procedure upon the tile components to generate compressed data according to an adjustable quantization parameter. An adaptive entropy selector then selects one of a plurality of available entropy encoders to most effectively perform an entropy encoding procedure to thereby produce encoded data. The entropy encoder may also utilize a feedback loop to adjust the quantization parameter in light of current transmission bandwidth characteristics.

Adaptive jitter buffer management, e.g., for playout of packetized data transmitted over a network. Playout delay is iteratively adjusted based on changing network traffic characteristics by varying the release threshold in a jitter buffer. The adjustment is carried out by evaluating three quantities: (1) average packet transit time over the network; (2) jitter of the packet transit time; and (3) additional waiting time due to the presence of out-of-sequence packets. This invention reduces negative effects of jitter and / or transmission irregularities, such as late arrival of packets and out-of-sequence packets, while maintaining relatively low playout delay and relatively high quality of service.

The invention discloses a sampling GPR method of continuous anomaly detection in a collecting data flow of an environment sensor, and belongs to the technical field of data monitoring of environment sensors. The sampling GPR method of the continuous anomaly detection in the collecting data flow of the environment sensor is used for solving the problem that anomaly detection can not be conducted in real time, wherein the problem is caused by the fact that data calculation amount is large in data flow anomaly detection of a traditional environment sensor. The sampling GPR method of the continuous anomaly detection in the collecting data flow of the environment sensor is based on a prediction-model method, a prediction model is built through historical data, the mean value and the confidence interval of current data are obtained, a current data value is compared with the confidence interval, and the current data value is regarded as exceptional data if the current data value exceeds the confidence interval. According to the sampling GPR method of the continuous anomaly detection in the collecting data flow of the environment sensor, less historical data are needed, algorithm operation efficiency is improved, and input training data are not required to be provided with category tags. The sampling GPR method of the continuous anomaly detection in the collecting data flow of the environment sensor can detect an exceptional situation in a self-adaptive mode according to real-time arrival data, and is applied to continuous exceptional data detection in collecting data flow of the environment sensor.

A 100Base-TX receiver employs a finite impulse response (FIR) filter to provide both equalization and insertion loss compensation for an MLT-3 input signal. The FIR filter includes three delay stages, each delaying the input signal with an 8 ns delay (the period of one data cycle of the MLT-3 input signal), a set of three amplifiers for amplifying the delay stage outputs with gains C1, C2 and C3, and a summer for summing the outputs of the three amplifiers to produce a compensated, equalized MLT-3 signal. A low-pass filter filters the FIR filter output signal, and a data slicer digitizes the low-pass filter output during each data cycle to produce data representing the incoming MLT-3 as having one of six levels. An adaptive control signal processes the slicer output data to determine how to set the gains C1, C2 and C3 of the three FIR amplifiers to provide the correct amount of equalization and compensation. The adaptive control circuit also processes the slice data to adaptively adjust the phase of a clock signal controlling timing of the data slicer, to adaptively adjust an amount of baseline wander compensation provided to the MLT-3 signal, and to determine the value of data conveyed by the MLT-3 input signal.

A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values and edge directions), this scan rate converter is able to perform the tasks of film-mode detection, motion-adaptive scan rate conversion, and content-dependent video noise reduction. Adaptive video noise reduction is incorporated in the process where temporal noise reduction is performed on the still parts of the image, thus preserving high detail spatial information, and data-adaptive spatial noise reduction is performed on the moving parts of the image. A low-pass filter is used in flat fields to smooth out Gaussian noise and a direction-dependent median filter is used in the presence of impulsive noise or an edge. Therefore, the selected spatial filter is optimized for the particular pixel that is being processed to maintain crisp edges.

In one aspect, a system and method are provided whereby latency in network communication protocols such as the TCP / IP suite of protocols is reduced by transmitting a new and second connection request from a sending device to a receiving device over a network based upon adaptively determined dynamic initial timeout values, where the dynamic initial timeout values are adaptively determined based upon data associated with one or more historical requests transmitted over the network by the sending device.

Provided are: a storage device for adaptively determining a processing technique with respect to a host request based on partition data; and an operating method for the storage device. The storage device responds to receipt of a read or write request from a host by ascertaining a partition corresponding to the host request based on data about block addresses occupied by various partitions stored in the storage device. Also, the storage device adaptively determines a processing technique with respect to the host request based on predetermined attributes of the partition concerned.

The invention relates to the technical field of spatial information management, in particular to a three-dimensional spatial data adaptive cache management method and system based on a Hash table. The invention adopts the object-oriented thought, combines the database run statistics analysis result and the computer system resource use conditions for cache adaptation adjustment and uses an object cache pool based on the Hash table for data storage management. The cache management method integrates the actual database run condition, equipment hardware information and object schedule information, sets the cache and the cache pool, carries out adaptive adjustment on the replacement algorithm function, improves the inquiry hit efficiency, organizes the scheduled objects in the cache pool based on the storage structure of the Hash table through object relation inquiry and shortens the object inquiry and organization time. The cache management method has high efficiency and can reduce system resource plunder, effectively solve the problem that the object model can not be dynamically organized and unitedly scheduled and be popularized and used in multiple object-oriented spatial data management software.

Method for conducting a seismic survey (23) wherein the acquisition parameters are modified as the survey progresses using information (24) from sensors located to monitor structures and fixtures located in the survey area. The sensor output is compared to acceptable levels, and acquisition parameters such as the seismic source strength are adjusted (26) to prevent exceeding the acceptable levels. An automated arbitration scheme (22) is used to resolve conflicting system goals within survey resource constraints.

Certain aspects of a method and system for adaptive preprocessing for an encoder may comprise filtering received video data using one or more spatial and / or temporal filtering parameters. The spatial and / or temporal filtering parameters may be adaptively updated to achieve a targeted bitrate based on statistical analysis of received video data and encoder feedback. The statistical analysis of received video data may comprise analysis of statistical inputs such as an encoding standard of the received video data, an average quantization factor, an input noise level, an average picture luma level, a motion vectors histogram, and a content type detection of the received video data. The spatial filtering parameters may be adaptively updated during an I frame of the received video data and the temporal filtering parameters may be adaptively updated per frame of the received video data.

The invention provides a multi-rate wireless mesh network routing method for opportunistic forwarding based on characteristics of radio broadcasting, which comprises the following steps: after a node transmits data, a plurality of nodes are selected as forwarding nodes; in the early stage of network setup, the nodes acquire a direct link delivery fraction via probe packets and set up an adjacency relation; an adjacency matrix of the total network is set up by using link status packets to switch link information; a node forwarding probability analysis system model is used to deduce a measurement (integrated transmission number) applicable to the presence of arbitrary paths, and a forwarding node selection strategy and a forwarding strategy are established on the basis of the integrated transmission number; the optimal path algorithm is used to select a major path, the nodes closer to the destination node than the source node can be selected into a forwarding list, and the forwarding nodes can be confined to the vicinity of the major path according to a certain screening rule; the forwarding node closest to the destination node is set to have the highest forwarding priority, and the forwarding priority is lowered with the increase of the distance from the destination node; and the destination node transmits an end-to-end response to the source node based on a certain rule to inform the source node of the number of the received packets, and the source node performs adaptive regulation on the transmission rate according to the data.

A system and method for improving the performance of digital filters is disclosed. The data bandwidth and spectral control are improved by adaptively selecting ramp-up and ramp-down symbols based on the actual filtered data. Thus, the energy in the truncated tail of the filter is minimized for a given filter design. The invention is of particular utility in systems that filters intermittent data streams, thus requiring the filter to energize and deenergize repeatedly.

Adaptive endurance coding including a method for storing data that includes receiving write data and a write address. A compression algorithm is applied to the write data to generate compressed data. An endurance code is applied to the compressed data to generate a codeword. The endurance code is selected and applied in response to the amount of space saved by applying the compression to the write data. The codeword is written to the write address.

An automation analytics system and method for building analytical models for an education application uses data-availability segments of students, which are clustered into segment clusters, to create the analytical models for the segment clusters using a machine learning process. The analytical models can be used to identify at least at least actionable insights.

A system and method for optimizing aggregation and analysis of data across multiple data sources of multiple enterprises is provided. Data extraction rules are generated by invoking an automatic rule generation rule. Automatic rule generation rule is invoked if a predefined set of rules is not applicable for extracting data. Further, data adaptation rules is generated if data extracted by applying data extraction rules and a predefined set of rules does not correspond to a predetermined output. The data adaptation rules is encapsulated in a feedback loop for transmitting to the data acquisition unit. Data optimization rules s generated based on data extraction rules and data adaptation rules. One or more metrics is generated based on data optimization rules. The metrics specify characteristics relevant to one or more enterprises.

Provided are a network analytic system and method based on the mass data real-time processing technology. The system comprises a plurality of data adaptive nodes and data analytic clusters which are composed of a plurality of data analytic nodes and arranged in a network in a distribution mode, wherein the data analytic nodes support a P2P networking mode and a load balancing mechanism, so that the data analytic clusters have a telescopic function; the flow line type analytic processing process is completed among the data analytic nodes through an incident mechanism. According to the network analytic system and method supporting the real-time mass data processing, mass network data including operations of network fault monitoring, statistics, trouble shooting, diagnosis and the like can be analyzed and processed in real time, the network data can be analyzed in a fine mode, distribution type dynamic expansion is supported to expand system functions, and users can expand demands of themselves according to the analytic types to be detected in a self-defined manner. Furthermore, a distribution type structure is utilized by the system without excessively depending on single hardware performance, and the system can complete processing of complex logics of network data analysis and the like better. The system and method support multiple types of processing logics and lower the requirements for professional qualification of developers.

A computer-implemented dynamic data filtering system and method for selectively choosing operating data of a monitored asset that modifies or expands a learned scope of an empirical model of normal operation of the monitored asset while simultaneously rejecting operating data of the monitored asset that is indicative of excessive degradation or impending failure of the monitored asset, and utilizing the selectively chosen data for adaptively recalibrating the empirical model to more accurately monitor asset aging changes or operating condition changes of the monitored asset.

An adaptive signal processing system utilizes a Multistage Weiner Filter having an analysis section and a synthesis section that includes a processor. The processor includes an algorithm for generating a data adaptive linear transformation, computing an adaptive weighting wmed of the data, and applying the computed adaptive weighting wmed to a function of a main input signal and an auxiliary input signal to generate an output signal. A plurality of building blocks in a Gram-Schmidt cascaded canceller-type configuration sequentially decorrelate input signals from each other to produce a single filtered output signal. Each building block generates an adaptive weight wmed that is applied to generate a local output signal. The effect of non-Gaussian noise contamination on the convergence MOE of the system is negligible. In addition, when desired signal components are included in weight training data they cause little loss of noise cancellation.

A system and method allocates bandwidth for a plurality of data sources within a communications network. The data sources each generate data and transmit the generated data along communications channels in a shared communications link of the communications network. Each data source includes a data sensor for sensing data generation at each data source indicative of network resource usage. A node is connected to the communications link for receiving the data generated from respective data sources. A controller is associated with at least one of the node and each data sensor and data source for establishing data sensor detection thresholds, reallocating excess data capacity from underused channels to those channels requiring excess data capacity, and setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

Systems and methods are provided for adaptively estimating the specific differential phase (Kdp) from dual-polarization radar data in the complex domain. Some embodiments adapt for wrapped differential propagation phases by estimating the specific differential phase in the complex domain. Some embodiments adapt for measurement fluctuations and / or spatial scale in making such estimations. Some embodiments also provide for determining the presence of storms cells using the dispersion of the differential propagation phase shift over a subset of bins.

The invention provides a vectordata self-adaptation simplification method based on a spatial entity view model, which comprises the step of reading and judging the pixel value of coordinate points in a coordinate system of the view window of the model through a pixel operation module of the module so as to further judge if all original coordinate points of the vectordata need to be simplified. The invention has the advantages of enhancing the transmission efficiency and display efficiency of the vectordata, not only ensuring the correct display of the spatial relation of any simplified complex vectordata, but also ensuring the correct display of the spatial relations among all simplified vectordata.

A system and method for improving the performance of digital filters. The data bandwidth and spectral control are improved by adaptively selecting ramp-up and ramp-down symbols based on the actual filtered data. Thus, the energy in the truncated tail of the filter is minimized for a given filter design. The invention is of particular utility in systems that filters intermittent data streams, thus requiring the filter to energize and deenergize repeatedly.

A direct conversion wireless transmitter includes IQ mismatch pre-compensation using direct learning adaptation to adjust IQ pre-compensation filtering. Widely-linear IQ_mismatch pre-compensation filtering compensates for IQ mismatch in the TX analog chain, filtering of input data x(n) to provide pre-compensated data y(n) with a compensation image designed to interfere destructively with the IQ_mismatch image. A feedback receiver FBRX captures feedback data z(n) used for direct learning adaptation. DL adaptation adjusts IQ_mismatch filters, modeled as an x(n)_direct and complex conjugate x(n)_image transfer functions w1 and w2, including generating an adaptation error signal based on a difference between TX / FBRX-path delayed versions of x(n) and z(n), and can include estimation and compensation for TX / FBRX phase errors. DL adaptation adjusts the IQ pre-comp filters w1 / w2 to minimize the adaptation error signal. Similar modeling can be used for IQ mismatch. The IQ_mismatch pre-compensator can be implemented as a combination of digital signal processing and hardware acceleration.

The invention discloses a sensitive data self-adaptive desensitization method and system, and relates to the field of computer technology and information security, and the method comprises the following steps: a plurality of desensitization algorithms is added into a desensitization server, anda one-to-one corresponding quantitative relation between each desensitization algorithm and each desensitization effect in a plurality of desensitization effects is set; the desensitization server receives a desensitization instruction sent by the client device, and reads the original data from the datasource server according to the desensitization instruction; the desensitization server constructs a desensitization effect preference training set of the user for different sensitive data types to form a decision tree; and the desensitization server positions the sensitive data existing in the original data, determines the type of the sensitive data, selects a desensitization algorithm for the sensitive data by using a decision tree, and generates replacement data of the sensitive data according to the desensitization algorithm. The user configuration process is simple, and intelligent automatic configuration and automatic desensitization of the desensitization strategy can be realized.