115results about How to "Solve the high false alarm rate" patented technology

Whether or not the CW radar is utilized for through-the-wall detection, additional one or more sensors are used with the CW radar to confirm the motion detection result or to in fact turn on the CW radar once motion or the physical presence of an individual has been sensed, thereby to provide confirmation of a less-reliable sensor with the use of the more reliable CW radar. Thus, the addition of other sensors provides lower power consumption, lower false alarm rates and better discrimination and classification of moving objects.

A method and apparatus for inspecting the surface of articles, such as chips and wafers, for defects, includes a first phase of optically examining the complete surface of the article inspected at a relatively high speed and with a relatively low spatial resolution, and a second phase of optically examining with a relatively high spatial resolution only the suspected locations for the presence or absence of a defect therein.

System and method providing surveillance of an asset such as a process and / or apparatus by providing training and surveillance procedures that numerically fit a probability density function to an observed residual error signal distribution that is correlative to normal asset operation and then utilizes the fitted probability density function in a dynamic statistical hypothesis test for providing improved asset surveillance.

A system and method which partitions a parameter estimation model, a fault detection model, and a fault classification model for a process surveillance scheme into two or more coordinated submodels together providing improved diagnostic decision making for at least one determined operating mode of an asset.

A system for detecting intrusion across a surface, comprising a plurality of light sources projecting an array of illuminating beams along different optical paths in the surface and a detector array system directed such that it detects along a plurality of fields of view in the surface, illumination reflected from the illuminating beams. A signal processing system detects changes along the array of fields of view, in the reflected illumination level detected by the detector system. An increase greater than a predefined level in the reflected illumination level from any field of view provides an indication of an intrusion across the surveilled surface along that field of view, at the crossing point of the direction of that field of view with the optical path whose illuminating beam generated the increase in reflected illumination from that field of view.

An automatic technique for generating signatures for malicious network traffic performs a cluster analysis of known malicious traffic to create a signature in the form of a state machine. The cluster analysis may operate on semantically tagged data collected by connection or session and normalized to eliminate protocol specific features. The signature extractor may generalize the finite-state machine signatures to match network traffic not previously observed.

A sensor and method for detecting biological and chemical agents comprising metal interdigitized electrodes coated with hybrid polymer-based conducting film and an instrument for applying electrical voltage to the electrodes and registering the change in voltage. The hybrid film also comprises indicator biomolecules encapsulated within the film or attached to it. When these indicator biomolecules come in a contact with a biological and chemical agent, morphological changes occur in the film and electrical current flowing through the electrodes is modulated. The change in current indicates the presence of a biological and chemical agent and is registered.

System and method providing surveillance of an asset such as a process and / or apparatus by providing training and surveillance procedures that numerically fit a probability density function to an observed residual error signal distribution that is correlative to normal asset operation and then utilizes the fitted probability density function in a dynamic statistical hypothesis test for providing improved asset surveillance.

An intrusion detection arrangement (101) for communication networks comprising a network activity observer (102) configured to monitor network traffic by the related traffic elements, such as data packets, thereof and to establish traffic profiles relative to the monitored traffic elements, such as one profile per each monitored traffic element, a misuse detector (104) configured to determine a first indication of a probability of the profiled traffic representing malicious activity through co-operation with a model repository (106) comprising at least one model characterizing a known intrusion attack, an anomaly detector (108) configured to determine, at least logically in parallel with the misuse detector, a second indication of a probability of the profiled traffic representing anomalous activity through cooperation with a model repository (110) comprising at least one model characterizing legitimate network activity, and a classifier (112) configured to operate on said first and second indications to generate a classification decision on the nature of the profiled traffic, wherein the applied classification space includes at least one class for legitimate traffic and at least one other class for other traffic such as malicious and / or anomalous traffic. A corresponding method is presented.

A projectile tracking system for acquiring and precisely tracking a projectile in flight in order to reveal the source from which the projectile was fired. The source is revealed by the back projection of a 3-dimensional track file. In preferred embodiments the system is installed on a vehicle, such as an un-manned blimp or other aircraft, road vehicle or ship, for locating and destroying small arms fire directed at the vehicle. A kill system may also be included on the vehicle to destroy the source of the projectile.

A system and method for monitoring an apparatus or process asset including creating a process model comprised of a plurality of process submodels each correlative to at least one training data subset partitioned from an unpartitioned training data set and each having an operating mode associated thereto; acquiring a set of observed signal data values from the asset; determining an operating mode of the asset for the set of observed signal data values; selecting a process submodel from the process model as a function of the determined operating mode of the asset; calculating a set of estimated signal data values from the selected process submodel for the determined operating mode; and determining asset status as a function of the calculated set of estimated signal data values for providing asset surveillance and / or control.

There is provided a fall detection system for use in detecting falls by a user, the fall detection system comprising a processing unit configured to determine context information about the user and / or the environment in which the user is located, and to increase the sensitivity of a fall detection algorithm used to detect falls by a user in the event that the determined context information indicates that the user is or may be at an increased risk of falling, the increase in sensitivity occurring while the increased risk of falling is indicated by the determined context information.

The invention relates to the fault diagnosis and forecast filed, in particular to a failure prediction method facing to a numerically-controlled machine tool. The failure prediction method comprises the following steps of adopting a hierarchical-type hierarchical structure model to divide the numerically-controlled machine tool to be a plurality of core subsystems and analyze typical gradual failures; reducing a data set of sensor parameters to obtain a data set of failure foreboding parameters and relative relevance degree between the parameters and the failures; using a failure occurrence point to serve as a limit, diving each failure foreboding parameter historical data set according to time series, and corresponding to failure foreboding state series; adopting wavelet analysis technology to extract failure foreboding feature vectors of the data in different time intervals, conducting counter propagation neural network training, and obtaining a failure foreboding judgment model of each parameter; and adopting a dynamic confidence coefficient matching algorithm to monitor an accumulated confidence coefficient of each failure foreboding parameter on line, fusing state dynamic matching results of each failure foreboding parameter, and forecasting probability and time of failure occurrence. The failure prediction method has the advantages of high forecast accuracy, small forecast time difference, low false alarm rate, strong robustness, wide application prospect and the like.

A method and apparatus for inspecting the surface of articles, such as chips and wafers, for defects, includes a first phase of optically examining the complete surface of the article inspected at a relatively high speed and with a relatively low spatial resolution, and a second phase of optically examining with a relatively high spatial resolution only the suspected locations for the presence or absence of a defect therein.

The present invention relates to a radar detector and a radar detecting method for WLAN systems according to 802.11 wireless communication standards, and particularly concerns the radar detection for 802.1 l h dynamic frequency selection mechanism. The essence of the innovation consists in projecting the received phase vector on the signal subspace orthogonal to the expected radar pulse subspace and taking the norm of the resulting vector. The closer the norm is to zero, the more likely the received signal is to be a radar pulse. The invention is able to detect both, sinusoidal radar signals and chirp-like radar signals.

A system for detecting a network intrusion includes a first neural network for determining a first plurality of weight values corresponding to a plurality of vectors of an input data, a second neural network for updating the first plurality of weight values received from the first neural network to a second plurality of weight values based on the plurality of vectors of the input data, a third neural network for updating the second plurality of weight values received from the second neural network to a third plurality of weight values based on the plurality of vectors of the input data, and a classification module for classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values received from the third neural network.

A system and method for highly selective intrusion detection using a sparse array of ultra wideband (UWB) radars. Two or more UWB radars are arranged in a sparse array around an area to be protected. Each UWB radar transmits ultra wideband pulses that illuminate the area to be protected. Signal return data is processed to determine, among other things, whether an alarm condition has been triggered. High resolution radar images are formed that give an accurate picture of the area to be protected. This image is used to detect motion in a highly selective manner and to track moving objects within the protected area. Motion can be distinguished based on criteria appropriate to the environment in which the intrusion detection system operates.

In an array R of field-effect transistors for detecting analytes, each transistor of the array comprises a gate G, a semiconductor nanotube or nanowire element NT connected at one end to a source electrode S and at another end to a drain electrode D, in order to form, at each end, a junction J1, J2 with the channel. At least transistors FET1,1, FET1,2 of the array are differentiated by a different conducting material (m1, m2) of the source electrode S and / or drain electrode D.

The presence of an aerosol or cloud (3) of a toxic substance is detected by producing an aerosol (17, 5) of ligands (13) to the target substance in a region of sky that contains the target substance, permitting molecules the target substance to bind to the ligand, directing light (7, 21) of a first frequency into the revised aerosol; and then inspecting (9, 25) the revised aerosol for emissions of light of a second frequency. When light of the second frequency exists an alarm (15, 31) is initiated.

A projectile tracking system for acquiring and precisely tracking a projectile in flight in order to reveal the source from which the projectile was fired. The source is revealed by the back projection of a 3-dimensional track file. In preferred embodiments the system is installed on a vehicle, such as an un-manned blimp or other aircraft, road vehicle or ship, for locating and destroying small arms fire directed at the vehicle. A kill system may also be included on the vehicle to destroy the source of the projectile.

The invention discloses a remote home health care system. The home health care system comprises a fusion sorting subsystem used for receiving physical sign data parameters collected by a sensor in real time, conducting fusion sorting processing on the physical sign data parameters and diagnosing and feeding back the body condition of a user in real time according to physiological data and physiological models in a physiological model library, a resource optimization subsystem used for regularly optimizing the physiological data in a physiological database, generating an individualized physiological model for the user according to the historical physiological data in the physiological database, storing the physiological model in the physiological model library, and updating the physiological models in the physiological model library according to the latest physiological data in the physiological database and a comprehensive assessment subsystem used for predicting the physical sign change tread and the physical sign dynamic change range of the user according to the physiological data in the physiological database and the physiological models in the physiological model library and assessing the health of the user according to the physiological data and a predicating result.

The invention relates to a method for deactivating a semi-persistent resource allocation of a user equipment in an LTE-based mobile communication system. Furthermore, the invention also related to a user equipment and a eNode B implementing this method. To provide a mechanism for deactivating a semi-persistent resource allocation in a LTE system which is not requiring any changes to the Physical layer-to-MAC layer interface and / or preferably no changes to the PDCCH formats agreed by the 3GPP a combination of NDI value and MCS index is defined that is commanding the release of SPS resources. Alternatively, another solution proposed to define a special transport block size that when signaled in a PDCCH is commanding the release of SPS resources.

A system for the surveillance of terrain and the detection of intrusions over a plane extending into that terrain. A curtain array of light beams is projected along the plane and reflections from the terrain are detected by a sensor array essentially spatially coincident with the array of light sources. The times of flight of the beams are determined, and these characterize the form of the terrain being surveilled. The initial background reflection pattern is acquired and stored by the system. A sudden change in this detected background pattern can be defined as arising from an unexpected reflection, indicative of an intrusion. Signal processing systems are described utilizing modulated laser beams and detection at a frequency at least twice that of the modulation, such that reflected signals arising from the ON and the OFF periods of the laser modulation can be subtracted to eliminate the background signals.

The invention relates to a lightning monitoring and early warning method and system. The method comprises the steps of S1, detecting atmosphere average electric fields, optical radiation signals, electric field changing signals, magnetic field changing signals and GPS satellite signals of an area to be monitored and conducting signal conditioning and conversion, S2, judging whether the electric field changing amount meets preset triggering conditions or not according to the electric field changing signals, conducting signal collection and storage and executing the step S3 if the electric field changing amount meets the preset triggering conditions, and refreshing and awaiting if the electric field changing amount does not meet the preset triggering conditions, S3, conducting waveform characteristic extraction on the collected optical radiation signals, the collected electric field changing signals and the collected magnetic field changing signals, conducting cloud-to-ground lightning identification and location according to extracted characteristic parameters, and meanwhile storing and displaying the position of lightning in a geographic information system, the lightning time and waveforms of the optical radiation signals, the electric field changing signals and the magnetic field changing signals in the lightning process, and S4, generating early warning results according to cloud-to-ground lightning identification and location results and atmosphere average electric field amplitudes, and giving an warning signal according to the early warning results.

The invention discloses a pipeline leakage detection device based on a particle swarm optimization-variation modal decomposition (PSO-VMD) algorithm and a detection method. Sound emission signals without leakage and with leakage are acquired through a sound emission system; firstly, a preset scale K and a penalty coefficient a for sound emission signal decomposing are obtained through the PSO-VMDalgorithm, variation modal decomposition VMD is performed on the signals, and K intrinsic mode function IMF components are obtained; signal reconstruction is performed by adopting a method based on anenergy value, and an optimal observation signal after denoising is obtained; and a domain characteristic parameter of a time domain of a reconstructed signal is taken, and finally leakage detection is performed through a support vector machine (SVM) algorithm. It is achieved that pipeline leakage after happening can be found in time, and the problem that the mistaken alarming rate of a pipeline is high is solved.

A digital missile warning system comprising a distributed pulse doppler radar having a plurality of antennas, each being coupled to a transmit / receive (T / R) module located adjacent to the antenna, and parallel signal processing channels including an A / D converter, FFT processor and a range / velocity track file processor in each channel for each antenna resulting in enhanced detection range, reduced False Alarm Rate (FAR), faster response time, reduced size, weight and installation requirements, improved reliability and reduced acquisition and life cycle costs. An optional optical missile warning system can provide azimuth and elevation data to the track file processors which enables a three (3) dimensional track of a missile, with azimuth and elevation angles provided by the optical system and range, velocity and acceleration data provided by the pulse doppler radar. The combination of Pulse Doppler Radar MWS and the Optical MWS produces close to a zero False Alarm Rate (FAR). Further, means to extract a threat IR missiles' roll rate and its seeker spin rate and phase angle are provided.

The presence of an aerosol or cloud (3) of a toxic substance is detected by producing an aerosol (17, 5) of ligands (13) to the target substance in a region of sky that contains the target substance, permitting molecules the target substance to bind to the ligand, directing light (7, 21) of a first frequency into the revised aerosol; and then inspecting (9, 25) the revised aerosol for emissions of light of a second frequency. When light of the second frequency exists an alarm (15, 31) is initiated.

There is provided a fall detection system for use in detecting falls by a user, the fall detection system comprising a processing unit configured to determine context information about the user and / or the environment in which the user is located, and to increase the sensitivity of a fall detection algorithm used to detect falls by a user in the event that the determined context information indicates that the user is or may be at an increased risk of falling, the increase in sensitivity occurring while the increased risk of falling is indicated by the determined context information.

Systems and methods for detecting and preventing network security breaches are described. The systems and methods present a gateway-based packet-forwarding network security solution to not only detect security breaches but also prevent them by directly dropping suspicious packets and connections. The systems and methods employ multiple techniques to detect and prevent network security breaches, including stateful signature detection, traffic signature detection, and protocol anomaly detection.