202 results about "Critical threshold" patented technology

A method is presented to address quantitative assessment of visual contrast sensitivity in a subject, where the method comprises the steps of: (1) presenting at least one scene to the subject on a display, the scene comprising a plurality of elements and a background; (2) modulating the contrast of at least one element; (3) receiving feedback from the subject via at least one input device; (4) quantitatively refining the received feedback relative to the scene; (5) adjusting the contrast relative to accuracy of the quantitatively refined feedback; (6) calculating a critical threshold parameter for the subject; and (7) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of visual contrast sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, quantitative assessment profile of visual contrast sensitivity by psychophysical responses is generated on a tangible computer readable medium.

The present invention relates to a method and device for determining a level of ventilatory assist to a ventilator-dependent patient, in which a critical threshold of a respiration-related feature is calculated. Fatigue of a respiratory muscle of the ventilator-dependent patient develops when the critical threshold is reached by the respiration-related feature. The level of ventilatory assist to the ventilator-dependent patient is controlled in relation to the critical threshold of the respiration-related feature so as to prevent fatigue of the patient's respiratory muscle.

A congestive heart failure (CHF) mortality risk metric is automatically generated using an implantable medical device and, if it exceeds a predetermined threshold, a warning signal is issued indicating a significant risk of mortality due to CHF, perhaps necessitating more aggressive medical therapy. The CHF mortality risk metric is calculated based on a combination of estimated ventilatory response values and the slope of heart rate reserve as a function of predicted heart rates. Ventilatory response is estimated based on detected values of actual heart rate, arterial oxygen saturation, right ventricular O2, stroke volume, tidal volume, and respiration rate. Heart rate reserve values are derived from the actual heart rate along with patient age and rest heart rate. The predicted heart rates, which represent the heart rates the patient would achieve if healthy, are derived from activity sensor signals. The CHF mortality risk metric is then calculated as a ratio of ventilatory response and the slope of the heart rate reserve. If the CHF mortality risk metric exceeds a critical threshold value, such as 90, the warning signal is generated. Also described herein are various techniques for estimating ventilatory response.

A system for opto-pyrometric tissue temperature monitoring in real time. The system is adapted for cardiac ablation and tissue temperature measurement, having a catheter having a tip electrode adapted for RF ablation of cardiac tissue and an optical collector whose distal end is received in an opening formed in the tip electrode to detect black body radiation from the cardiac tissue. The system includes an optical detection system in communication with the optical collector, the optical processing system processing signals representative of a wavelength of at least a portion of the black body radiation to determine a tissue temperature. The incorporation of an optical collector within a catheter tip permits real time monitoring of tissue temperature during ablation and lesion formation to prevent critical thresholds in temperature associated with events that can damage tissue, including steam pop, thrombus, char, etc.

A network protection system and method for processing of network traffic between one or more networked devices. The network protection system may include the networked devices and a threat correlation device. The networked devices may operate as a monitoring agent and / or an interdiction agent. The threat correlation device may execute computer code for receiving information from the monitoring agent regarding an event recognized by the monitoring agent, retrieving an event score for the event from a risk scoring database based on an event type, a destination of the event, and a number of occurrences of the event, and updating a risk score by adding the event score to the risk score. When the risk score reaches a critical threshold, the threat correlation device may send instructions to the interdiction agent to take protective or defensive action against data traffic of that event type and from that aggressor.

The invention provides an individual recognition method and device and a program. The method comprises the steps that candidates, with matching degrees higher than a first critical threshold in regard to a first biological feature, in a database are determined as a candidate set; the candidate, with the matching degree higher than a first threshold in regard to the first biological feature, in the candidate set is determined as an individual, and recognition is exited; when all the matching degrees, in regard to the first biological feature, of the candidates in the candidate set are not higher than the first threshold, the candidate cannot be judged in the first judgment part, the candidate, with the matching degree higher than a second critical threshold in regard to a second biological feature, in the candidate set is determined as the individual, and recognition is exited; and when the candidate set is empty, the candidate, with the matching degree higher than a second threshold in regard to the second biological feature, in the database is determined as the individual, and recognition is exited, wherein the first threshold is higher than the first critical threshold, and the second threshold is higher than the second critical threshold. Through the method, a high passing rate and high precision of face recognition and anti-fake capability of palm recognition are achieved at the same time, matching time is shortened while accuracy is ensured, and recognition efficiency is improved.

A method for signaling a failure condition of a bearing of a turbocharger that includes a sensor configured for sensing information on off-axis rotor motion. The method entails receiving a stream of information from the sensor, decomposing the stream of information into a set of components representing different frequencies, using a subset of components that represent a range of frequencies known to be indicative of bearing failure to calculate a probability of failure of the bearing, signaling a failure condition of the bearing if the probability of failure exceeds a critical threshold, and if the present indicia of off-axis rotor motion does not indicate a complete failure condition has occurred, determining a time interval until another probability of failure of the bearing will be calculated. The time interval can vary based upon the rate that the probability of failure has changed over multiple time intervals.

A method is presented to address quantitative assessment of visual motor response in a subject, where the method comprises the steps of: (1) presenting at least one scene to a subject on a display; (2) modulating the contrast of a predetermined section of the scene; (3) moving the predetermined section relative to the scene with the movement being tracked by the subject via at least one input device; (4) measuring a kinematic parameter of the tracked movement; (5) quantitatively refining the tracked movement; (6) determining the relationship between at least one of the scene and the quantitatively refined tracked movement; (7) adjusting the modulated contrast relative to the quantitatively refined tracked movement; (8) calculating a critical threshold parameter for the subject; and (9) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of visual motor response of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of visual motor capacity by psychophysical responses is generated on a tangible computer readable medium.

A traffic management system sniffs data arriving at any point in a system. The sniffer operates to remember certain parameters pertaining to the data. When the amount of data arriving at the point begins to reach a critical level (usually dependent upon data processing capability associated with that point), the system begins to remove (and share) subsequent arriving data based, in part, upon the remembered parameters of recently received data. Data that is stored is returned to the system when the critical threshold recedes.

The disclosure provides a method for performing automated visual motor response assessment by receiving motor response input responsive to presenting visual stimulation, the method including: presenting a scene to a subject on a display; modulating contrast of a predetermined section of the scene; moving the predetermined section relative to the scene; providing a manual input device for tracking movement of the predetermined section; receiving tracked movement data from the manual input device; measuring a kinematic parameter of the tracked movement data; quantitatively refining the tracked movement; determining a relationship between at least one of the scene and quantitatively refined tracked movement; adjusting modulated contrast relative to the quantitatively refined tracked movement; and calculating a critical threshold parameter in relation to a subject.

A self-learning diagnostic system provides diagnostics capabilities which may be applied to a population of networked machines or components and assemblies in a product. The self-learning diagnostic system uses both the components' own historical data and the data for an entire population of networked machines of a given product in the field as the training set to adjust critical threshold parameters for detection and diagnosis. The system includes a nominal diagnostic threshold setting module which sets initial thresholds and an adjustment module, which adjusts thresholds continuously based on machine performance data. A service records evaluation module checks service records periodically for correlations and an adjustment module adjust service strategies based on correlation data.

A method is presented to address quantitative assessment of word identification latency of a subject, where the method comprises the steps of: (1) presenting at least one scene, comprising a plurality of letters and a background, to a subject on a display; (2) moving the plurality of letters relative to the scene; (3) receiving feedback from the subject via the input device; (4) quantitatively refining the received feedback; (5) modulating the movement of plurality of letters relative to accuracy of the quantitatively refined feedback; (6) calculating a critical threshold parameter; and (7) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of word identification latency of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of word identification latency by psychophysical responses is generated on a tangible computer readable medium.

A portion of data is received from each sensor of a plurality of sensors. An emergency level corresponding to each metric of a plurality of metrics is calculated, where the calculated emergency level is determined based on the portion of data received from the sensors. A total emergency level corresponding to the current situation is calculated, where the calculation of the total emergency level is based on the emergency level calculated for each metric. It is determined whether the total emergency level is above a critical threshold, where the critical threshold is selected by the user. If it is determined that the total emergency level is above the critical threshold, an alert is sent to a party such as one or more local authorities.

The invention discloses a system and a method for high-speed detection of loosening of railway fasteners on the basis of infrared thermal imaging. The system comprises two detectors, a controller and cables, the two detectors are positioned on the lower side of a body of a train and respectively opposite to the upper side of a left steel rail and the upper side of a right steel rail, the controller is mounted in a carriage and connected with the two detectors by the cables, digital infrared cameras are arranged inside the detectors, and whether the fasteners are loosened or lost or not is automatically judged by direct acquisition of infrared thermal images generated by contact stress of the fasteners and the steel rails, image processing and mode identification. The viewing field of each camera is centered at the position of the corresponding fastener, and image sampling and processing are carried out in selective small ranges of the fields of the view. During running of the train, sampling interval is adjusted if the positions of the fasteners are improper. Whether the maximum stress points in the infrared images are lower than a critical threshold or not is judged by an industrial computer so as to judge whether the fasteners are loosened or not, warning signals are transmitted if the fasteners are loosened, and early warning is realized before the fasteners are lost.

In a pattern inspecting apparatus, images of places which can be expected to be the same pattern are compared with one another. However, a comparison of images obtained by different stage scans and the occurrence of a place capable of being inspected only once lead to a deterioration in the performance of detecting various error defects and an area incapable of being inspected, respectively. For solving this problem, defects detected in a high sensitivity condition are regarded as defect candidates and a critical threshold value, used as a boundary to detect a smaller value as a defect, of a defect candidate portion is obtained by an image processing circuit or an image of the defect candidate portion is obtained by processing with software. Further, the critical threshold value thus obtained is compared with plural threshold values, thereby permitting plural inspection results to be obtained in a single inspection.

Interconnect structures possessing a non-porous (dense) low-k organosilicate glass (OSG) film utilizing a porous low-k OSG film as an etch stop layer or a porous low-k OSG film using a non-porous OSG film as a hardmask for use in semiconductor devices are provided herein. The novel interconnect structures are capable of delivering improved device performance, functionality and reliability owing to the reduced effective dielectric constant of the stack compared with that of those conventionally employed and also because of the relatively uniform line heights made feasible by these unique and seemingly counterintuitive features. The present invention also provides a fluorocarbon-based dual damascene etch process that achieves selective etching of a dense low-k OSG films relative to that of a porous low-k OSG film owing to the tunability of the gas-phase fluorine:carbon ratio (gas dissociation) and ion current below a critical threshold and given the larger carbon content of the porous film relative to that of the dense film.

A method is presented to address quantitative assessment of facial emotion sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene to the subject on a display, the scene comprising a plurality of faces and a background on a display, the plurality of faces comprising a plurality of facial expressions; (2) adjusting at least one facial expression on the scene; (3) receiving feedback from said subject via at least one input device; (4) quantitatively refining the received feedback; (5) modulating the adjusted facial expression relative to the accuracy of the received feedback; (6) (7) transforming the modulated facial expression; (8) calculating a critical threshold parameter; and (9) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of facial emotion sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of facial emotion sensitivity by psychophysical responses is generated on a tangible computer readable medium.

A method is presented to address quantitative assessment of facial emotion sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene to the subject on a display, the scene comprising a plurality of faces and a background on a display, the plurality of faces comprising a plurality of facial expressions; (2) adjusting at least one facial expression on the scene; (3) receiving feedback from said subject via at least one input device; (4) quantitatively refining the received feedback; (5) modulating the adjusted facial expression relative to the accuracy of the received feedback; (6) (7) transforming the modulated facial expression; (8) calculating a critical threshold parameter; and (9) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of facial emotion sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of facial emotion sensitivity by psychophysical responses is generated on a tangible computer readable medium.

A method is presented to address quantitative assessment of word recognition sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene, comprising a plurality of letters and a background, to a subject on a display; (2) moving the plurality of letters relative to the scene; (3) receiving feedback from the subject via at least one; (4) quantitatively refining the received feedback; (5) modulating the saliency of the plurality of letters relative to accuracy of the quantitatively refined feedback; (6) calculating a critical threshold parameter; and (7) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of word recognition sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of word recognition sensitivity by psychophysical responses is generated on a tangible computer readable medium.

A method is presented to address quantitative assessment of facial emotion nulling of a subject, where the method comprises the steps of: (1) presenting at least one scene, comprising a single facial expressions and a background, to a subject on a display; (2) adjusting the facial expression on the scene; (3) receiving feedback from the subject via at least one input device; (4) quantitatively refining the received feedback; (5) modulating the adjusted facial expression relative to the accuracy of the quantitatively refined feedback; (6) transforming the modulated facial expression; (7) calculating a critical threshold parameter; and (8) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of facial emotion nulling of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, a quantitative assessment profile of facial emotion nulling by psychophysical responses is generated on a tangible computer readable medium.

The invention provides a mudslide early warning method based on rainfall monitoring. The mudslide early warning method comprises the following steps of according to historical rainfall data, establishing a mudslide event feature rainfall model, a surface runoff event feature rainfall model and a normal rainfall event feature rainfall model, and determining a discrimination function; according to the discrimination function, determining an attenuation coefficient, a weight coefficient and a critical threshold value; collecting rainfall data of previous n days, and using the attenuation coefficient to calculate the effective rainfall of previous n days; using the weight coefficient and the rainfall data of current day, and calculating the feature rainfall according to the weight coefficient, the rainfall data of current day and the effective rainfall of previous n days; comparing the feature rainfall with the critical threshold value, and determining whether the rainfall of current day is enough to cause a mudslide event or not according to the comparison result. The method has the advantage that the accuracy of early warning of the mudslide can be effectively improved.

The invention relates to a mechanism for executing one Hard Real-Time (HRT) task in a multithreaded processor comprising means for determining the slack time of the HRT task; means for starting the execution of the HRT task; means for verifying if the HRT task requires using a resource that is being used by at least one Non Hard Real-Time (NHRT) task; means for determining the delay caused by the NHRT task; means for subtracting the determined delay from the slack time of the HRT task; means for verifying if the new value of the slack time is lower than a critical threshold; and means for stopping the NHRT tasks.

The invention relates to a real-time vibration-aging vibration level testing system. The real-time vibration-aging vibration level testing system comprises a processor, a signal generator, a driver, a vibration exciter, an acceleration sensor, a charge amplifier, an oscilloscope and a support device, wherein a member is fixedly connected with the vibration exciter; the processor controls the signal generator to output sinusoidal excitation signals, of which the amplitude and frequency are independent and are continuously adjustable; the processor comprises a voltage waveform reading module, a voltage identification module, a vibration level detection module and a critical threshold setting module. An automatic vibration level adjustment method comprises the steps that the member is fixedly connected with the vibration exciter; the vibration level detection module is subjected to parameter value setting; the voltage waveform reading module acquires a voltage waveform displayed by the oscilloscope; the voltage identification module acquires voltage peaks; the processor determines first excitation frequency of vibration aging; the processor determines second excitation frequency of vibration aging and enables the vibration exciter to carry out vibration aging treatment on the member at the second excitation frequency. The system and the method have the advantages that the vibration level can be accurately tested in real time, and the vibration level can be adjusted automatically.

Embodiments of the present invention relate to providing intelligent alerting and automation for marketing analytics software. In implementation, intelligent alerting is initiated by a user, which enables deep learning models to analyze various data patterns. Intelligent alerting learns about preferences and data consumption patterns of the user with marketing analytics software. Intelligent alerting also accounts for and learns from any manually created alerts set up by the user and / or alerts created automatically by anomaly detection. Intelligent alerting analyzes all other users within the organization of the user to find similar users based on their consumption patterns. An on-demand game may be provided to the user to determine the criticality of one metric change over another. This enables intelligent alerting to automatically provide alerts which pass a critical threshold of importance to the user and context to help the user understand why a metric changes in a significant way.

The invention relates to methods and products for the identification of a clinically significant immune response in subjects treated with a therapeutic protein. A first aspect of the invention relates to methods and compositions for identifying a clinically significant immune response in patients treated with therapeutic amounts of a VLA4 binding antibody (e.g., natalizumab). A second aspect of the invention concerns the chronological details of sample collection for determining the titre of antibodies against the therapeutic protein, e.g. the collection of at least two samples at two different time points. A third aspect of the invention relates to the selection of the critical threshold level, which corresponds to the antibody titre of untreated patients increased by the double of the standard deviation of this control antibody titre.

A method is presented to address quantitative assessment of letter identification latency of a subject, where the method comprises the steps of: (1) presenting at least one scene to a subject on a display, the scene comprising a plurality of letters and a background; (2) moving the plurality of letters relative to the scene, the movement being tracked by the subject via at least one input device; (3) receiving feedback from the subject via the input device; (4) quantitatively refining the received feedback; (5) modulating the movement of plurality of letters relative to accuracy of the received feedback; (6) calculating a critical threshold parameter; and (7) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of letter identification latency of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, quantitative assessment profile of letter identification latency by psychophysical responses is generated on a tangible computer readable medium.

The invention discloses a chaos-based method for detecting and classifying early single-point faults of a mechanical component. The method comprises the following steps of: processing conventional sample fault signals in different states of the mechanical component to establish check intervals for different fault types; acquiring fault characteristic frequencies corresponding to all single-point fault states of the mechanical component to construct a frequency matrix of a Duffing chaotic oscillator; solving critical thresholds of periodic driving force amplitudes corresponding to different fault characteristic frequencies to construct a frequency-threshold matrix; and finally, adding a signal to be detected to calculate the maximum Lyapunov exponent matrix M, checking according to data inthe M, calculating correlation dimension of the signal to be detected if a fault signal is available, and classifying the faults to determine a fault mode in comparison with the established correlation dimension intervals for different fault types. By adopting the method, the early single-point faults of the mechanical component are detected and classified; and the method has high noise resistance capacity and extremely high fault detection success rate.

In a pattern inspecting apparatus, images of places which can be expected to be the same pattern are compared with one another. However, a comparison of images obtained by different stage scans and the occurrence of a place capable of being inspected only once lead to a deterioration in the performance of detecting various error defects and an area incapable of being inspected, respectively. For solving this problem, defects detected in a high sensitivity condition are regarded as defect candidates and a critical threshold value, used as a boundary to detect a smaller value as a defect, of a defect candidate portion is obtained by an image processing circuit or an image of the defect candidate portion is obtained by processing with software. Further, the critical threshold value thus obtained is compared with plural threshold values, thereby permitting plural inspection results to be obtained in a single inspection.

A method is presented to address quantitative assessment of word recognition sensitivity of a subject, where the method comprises the steps of: (1) presenting at least one scene to a subject on a display, the scene comprising a plurality of letters and a background; (2) distorting the scene; (3) moving plurality of letters relative to the scene, the movement being tracked by the subject via at least one input device; (4) receiving feedback from the subject via the input device; (5) quantitatively refining the received feedback; (6) modulating the movement of plurality of letters relative to accuracy of the received feedback; (7) calculating a critical threshold parameter; and (8) recording a critical threshold parameter onto a tangible computer readable medium. An apparatus for quantitative assessment of word recognition sensitivity of a subject comprising a display device, an input device, a control device, and a tangible computer readable medium. In its simplest sense, quantitative assessment profile of word recognition sensitivity by psychophysical responses is generated on a tangible computer readable medium.