617 results about "Baseline data" patented technology

The invention provides systems and methods for continuous back up of data stored on a computer network. To this end the systems of the invention include a synchronization process that replicates selected source data files data stored on the network and to create a corresponding set of replicated data files, called the target data files, that are stored on a back up server. This synchronization process builds a baseline data structure of target data files. In parallel to this synchronization process, the system includes a dynamic replication process that includes a plurality of agents, each of which monitors a portion of the source data files to detect and capture, at the byte-level, changes to the source data files. Each agent may record the changes to a respective journal file, and as the dynamic replication process detects that the journal files contain data, the journal files are transferred or copied to the back up server so that the captured changes can be written to the appropriate ones of the target data files.

This invention is a system, method, and apparatus for detecting compromise of IP devices that make up an IP-based network. One embodiment is a method for detecting and alerting on the following conditions: (1) Denial of Service Attack; (2) Unauthorized Usage Attack; and (3) Spoofing Attack. A survey of services running on the IP device, historical benchmark data, and traceroute information may be used to detect a possible Denial of Service Attack. A detailed log analysis and a passive DNS compromise system may be used to detect a possible unauthorized usage. Finally, a fingerprint of the IP device or its configuration settings, a watermark inserted in the data-stream, and a private key burned into the IP devices' physical memory may be used to detect a possible spoofing attack. The present invention may be used to help mitigate intrusions and vulnerabilities in IP networks.

A time series of optical tomography data is obtained for a target tissue site in a human (or animal), using an optical wavelength, such as near infrared, at which hemoglobin is absorptive, to observe properties of the vasculature of the human. The data may be compared to baseline data of a corresponding tissue site, e.g., from a healthy human, or from another, corresponding tissue site of the human. For example, a suspected cancerous breast of a human may be compared to a known healthy breast to detect differences in the vasculature. Measures may be made of flow, oxygen supply / demand imbalance, and evidence of altered regulation of the peripheral effector mechanism. The function of the target tissue site may be analyzed, along with the coordinated interaction between multiple sites of the target system. A provocation may be administered to identify surrogate markers of an underlying state or process.

Personality, behavior and competency assessment data is obtained for a sales person (or group of sales persons), particularly via a computer-implemented interface. The resulting overall individual (or aggregated) assessment data is then compared with high sales performer benchmark data to identify performance improvement opportunities that, in turn, are used to identify at least one specific action for the sales person (or group of sales persons). Such techniques may be use with sales management personnel as well. Reports based on the assessment results and comparisons thereof with high sales performer benchmark data may be created and provided to the individuals being assessed or persons associated with the individual sales persons. The personality, behavior and competency assessment data may also be used to identify predictive characteristics of high sales performers that may be subsequently used to predict other characteristics of individuals or groups.

The invention provides systems and methods for continuous back up of data stored on a computer network. To this end the systems of the invention include a synchronization process that replicates selected source data files data stored on the network and to create a corresponding set of replicated data files, called the target data files, that are stored on a back up server. This synchronization process builds a baseline data structure of target data files. In parallel to this synchronization process, the system includes a dynamic replication process that includes a plurality of agents, each of which monitors a portion of the source data files to detect and capture, at the byte-level, changes to the source data files. Each agent may record the changes to a respective journal file, and as the dynamic replication process detects that the journal files contain data, the journal files are transferred or copied to the back up server so that the captured changes can be written to the appropriate ones of the target data files.

In accordance with new technique, a computerized data recovery system includes a storage subsystem and a backup server operatively coupled to backup storage medium, the storage subsystem including a continuous data protection system. The backup server executes a recovery manager which: collects consistency points from at least two database applications executing on at least one host; collects journal terms of the continuous data protection system for each of the at least two database applications; collects log terms associated with each of the at least two database applications; displays to a user a timeline for a protected term and consistency points for the at least two database applications; receives recovery time selection from a user; receives recovery database application selection from the user; receives baseline database application selection from the user; performs crash recovery for each database application; and performs recovery of data based on transactions associated with the at least two database applications.

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.

Presented herein are embodiments of a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. In embodiments, it directly models the probability distribution of generating a word given a previous word or words and an image, and image captions are generated according to this distribution. In embodiments, the model comprises two sub-networks: a deep recurrent neural network for sentences and a deep convolutional network for images. In embodiments, these two sub-networks interact with each other in a multimodal layer to form the whole m-RNN model. The effectiveness of an embodiment of model was validated on four benchmark datasets, and it outperformed the state-of-the-art methods. In embodiments, the m-RNN model may also be applied to retrieval tasks for retrieving images or captions.

Computer implemented methods, programs and systems for displaying statistical data in a graphical user interface are provided. According to the method, baseline data is imported from a first report which corresponds to a trouble-free period. Similarly, critical data is imported from a second report corresponding to a trouble period. The imported data is compared and analyzed to create a results table, each cell in the results table corresponding to a timestamp and a statistical item. The cells in the results table contain a visual identifier according to the criticality of the comparison of the statistical items from the baseline data and the critical data. The results table is presented on a display to the user.

Degradation of the lubricant due to contamination of the lubricant with wear particles or moisture, which greatly affects the service life of rolling bearings, can be detected in a cost-effective manner through the use of a resonance frequency band signal or high-frequency signal of an accelerometer, and the service life of a rolling bearing can be estimated with high precision at an early stage on the basis of the detected state of the wear particles and lubricant. Provided is a method comprising baseline data acquisition means for obtaining vibration signals by using an accelerometer 4 and using a testing device to acquire resonance frequency band signals detectable at the highest sensitivity, for each specification such as model number, manufacturer name, and other specifications for a rolling bearing 3 as pertains to the relationship between the state of wear particle penetration in a rolling bearing 3 and the vibration / bearing service life, and to lubricant degradation and vibration / bearing service life; measurement means whereby an accelerometer 4 is used to obtain vibration signals for the rolling bearing 3 whose remaining service life is being assessed and which resides on a fan, a pump, or another rotating device 1, 2, for the purpose of measuring resonance frequency band signals detectable at the highest sensitivity; and determination means for estimating the state of wear particle penetration and the state of lubricant degradation of the diagnostic rolling bearing 3, and computing the remaining service life of the diagnostic rolling bearing 3 by using measurement values obtained by the measurement means, determination results of the bearing specification determination means, and data obtained by the baseline data acquisition means.

Methods, apparatuses, and systems for damage detection and for other detection of the state of a structure or material. Such damage detection and detection of the state of a structure may be performed and operated without the use of baseline data. The present invention may operate using time reversal acoustics or polarization characteristics of piezoelectric devices. The present invention may include a piezoelectric device including two or more piezoelectric transducers.

The invention is generally related to operations support systems and more specifically, to a method of and system for deployed maintenance operations for equipment or assets. Existing web-based systems support organizations may be spread over large geographies, but only insofar as each part of that organization can remain fully-connected to the central server or data centre. The system described herein, on the other hand, allows portions of the organization to operate for long periods of time without a dedicated connection, while keeping technical records accurate. The system described herein allows a customer to set up a ‘deployed site’, which is effectively an environment that operates as a partial copy of the master site (which contains baseline data), and is only allowed to operate on a specific subset of the assets in the system (say, a fleet of aircraft). This deployed environment has all the required configuration and transactional data to run as a standalone system until the deployment is no longer required. At that time, the deployed site can be decommissioned by transferring the assets out to other sites, deployed or not.

The present invention provides a computerized interactive training method and system for receiving a user data including physical user data, medical history data and athletic goal data for the user. The method and system further includes determining a baseline data set for the user and generating a training routine for the user based on the baseline data set and the user data, including selecting a plurality of exercises for the user directed towards the athletic goal data. The method and system further includes determining a network of related users electronically networked via a networking interface, transmitting the training routine to the user and notifying the related users of the training routine. The method and system provides for receiving training feedback data from the user, including exercise-specific information and sharing the training feedback data with fellow community users.

The automated fault diagnostic system operates on engine-compressor sets with one vibration sensor per sub-group of engine cylinders and one sensor per compressor cylinder. Vibration signals linked to crankshaft phase angle windows (“VT”) mark various engine events and compressor events. In data-acquisition-learning mode, VT is stored for each engine and compressor event per operating load condition, statistical process control (SPC) theory identifies alarm threshold bands. Operator input-overrides are permitted. If no baseline data is stored, the system automatically enters the learn mode. To monitor, current VT are obtained and current load condition is matched to the earlier load set and alarms issue linking predetermined engine or compressor event to the over-under VT. Baseline data, SPC analysis, alarms and monitoring are set for crankcase flow, engine cylinder exhaust temperatures, ignition system diagnostic messages. Compressor performance alarms use suction and discharge temperatures and pressures.

Systems and methods for estimating power consumption in a network of computing devices are described. Operational information of a target server is periodically received and compared to benchmark data of a model of the target server. The operational information comprises performance data of the target server during a predefined time interval. Power consumption of the target server is estimated using the performance and benchmark data. The benchmark data is recalibrated if an error in the estimated power consumption is detected. An agent installed on the target server for collecting performance data is described. The target server can be a virtualized server, in which case, the agent acquires at least some of the performance data from a hypervisor of a physical server that hosts the target server.

Pathological analysis needs instance-level labeling on a histologic image with high accurate boundaries required. To this end, embodiments of the present invention provide a deep model that employs the DeepLab basis and the multi-layer deconvolution network basis in a unified model. The model is a deeply supervised network that allows to represent multi-scale and multi-level features. It achieved segmentation on the benchmark dataset at a level of accuracy which is significantly beyond all top ranking methods in the 2015 MICCAI Gland Segmentation Challenge. Moreover, the overall performance of the model surpasses the state-of-the-art Deep Multi-channel Neural Networks published most recently, and the model is structurally much simpler, more computational efficient and weight-lighted to learn.

A method is provided for identifying a flow anomaly in a system having first and second water using devices, comprising: generating baseline data comprising water use signatures and corresponding water pressure information regarding the water using devices; comparing the baseline data with actual water usage signatures and corresponding actual water pressure information to identify a flow anomaly with the water using devices; and providing information on the flow anomaly to an individual. It is especially contemplated that baseline data are generated for multiple devices coupled to a common water supply system, with baseline data from two or more water using devices compared against future water use patterns of the same devices. Apparatus to accomplish these tasks is preferably housed in an irrigation controller, which may be advantageously coupled to a flow meter.

Methods and systems for determining the likelihood that a person is impaired, generally comprising gathering ambient data from sensors operably coupled to a primary measuring device (PMD), analyzing and / or identifying the ambient data, querying at least one database to identify baseline data regarding the person, and comparing the ambient data to the baseline data to determine the likelihood that the person is impaired. The methods and systems advantageously detect medical and / or cognitive impairment without the need for specialized devices, examination by specialists, consent of the person being evaluated, and compliance with recommendations to be examined, and may be applied to estimating the level of impairment of a person due to alcohol, drugs, exposure to toxic chemicals, changes to mental status, insufficient sleep, medical problems, changes to blood sugar levels, divided attention, vision changes, hearing changes, use of a mobile device while walking or operating a vehicle, and other factors.

A method and a driving apparatus for identifying a sensing value of a touch panel are provided. The method includes sensing a plurality of electrodes of the touch panel to obtain raw data and baseline data of each electrode, wherein an electrode Si denotes an ith electrode of the electrodes in the touch panel. A sensing value of the electrode Si is calculated in accordance with the raw data and the baseline data of the electrode Si. When sensing values of all electrodes Si are smaller than a threshold value, the baseline data of the electrode Si is updated in accordance with the raw data of the electrode Si. When a sensing value of any one electrode Si of the electrodes is larger than the threshold value, the baseline data of the electrodes is suspended from being updated.

This invention is a system, method, and apparatus for detecting compromise of IP devices that make up an IP-based network. One embodiment is a method for detecting and alerting on the following conditions: (1) Denial of Service Attack; (2) Unauthorized Usage Attack (for an IP camera, unauthorized person seeing a camera image); and (3) Spoofing Attack (for an IP camera, unauthorized person seeing substitute images). A survey of services running on the IP device, historical benchmark data, and traceroute information may be used to detect a possible Denial of Service Attack. A detailed log analysis and a passive DNS compromise system may be used to detect a possible unauthorized usage. Finally, a fingerprint (a hash of device configuration data) may be used as a private key to detect a possible spoofing attack. The present invention may be used to help mitigate intrusions and vulnerabilities in IP networks.

A new approach is disclosed for measuring the pressure of tight gas reservoirs, using information obtain from continuous injection prior to hydraulic fracture stimulation. The technique can be obtained utilizing either bottom-hole or surface pressure gauges and properly instrumented surface injection pumps. The analysis is completed by plotting injection and rate data in a specialized form from terms arranged in Darcy's radial flow equation to obtain a curve or trend. The key component to proper application of this technique is to obtain both baseline and one or more calibration data sets. These calibration data sets are obtained by either increasing or decreasing the injection pressure and / or rate from the baseline data. Initial reservoir pressure is assumed, but the calibration data indicates if the guess was too high or low. Accurate estimates of reservoir pressure may be obtained in a few iterations.

A method for dispatching buildings in a demand response program event including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a regression analysis on each set to yield regression model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.

An improved thermal history sensor having multiple glass ceramic substrates with unique compositions is disclosed. By positioning the sensor adjacent to a component subject to thermal stressors, each of the glass ceramic substrates react with a different rate of nucleation and crystal growth and thus yield a specific measure of opacity. By comparing these values representing the opacity for each glass ceramic substrate, or thermal history fingerprint, to baseline data, information about the expected remaining useful lifetime of the component may be obtained.

The invention relates to a face image synthesis method and device based on adversarial learning. The method provides a novel generative adversarial network (FC-GAN), and aims to synthesize a front face image under the standard illumination from an occluded face image. The FC-GAN uses a convolutional neural network structure an encoder-decoder as a generator, and two discriminators are introduced at the same time, one is a global discriminator used for distinguishing the authenticity of a whole face image, and meanwhile, the identity information of a person is kept unchanged; and the other oneis a local discriminator which is used for distinguishing the authenticity of the shielding area in the human face. In addition, a human face semantic segmentation network is introduced to strengthenthe consistency of five sense organs of a human face in the generated image. And by comparing the semantic tags of the synthesized face image and the real face image, the gradient is transmitted backto the generator to adjust the five sense organs of the synthesized face image. Experimental results on the reference data set Multi-PIE show that the FC-GAN performance is superior to that of most existing methods.

Systems, methods, and apparatus are provided for automated geolocation of a signal using 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.

A data management system or “DMS” provides an automated, continuous, real-time data protection service to one or more data sources associated with a set of application host servers. To facilitate the service, a host driver embedded in an application server captures real-time data transactions. When a data protection command for a given data source is forwarded to a host driver, an event processor enters into an initial upload state. During this state, the event processor gathers a list of data items to be protected and creates a data list. Then, the event processor moves the data to a DMS core to create initial baseline data. The upload is a stream of application-aware data chunks that are attached to upload events. A resynchronization state is entered when there is a suspicion that the state of the data in the host is out-of-sync with the state of the most current data in the DMS. During upload or upward resynchronization, the application does not have to be shut down.