2361 results about "Discriminator" patented technology

The output current value of a direct-current power source obtained by low-frequency, minute modulation of the input voltage of a switching converter is detected in a circuit having an amplification factor switching function that switches the amplification factor between definite magnitudes synchronizing with the modulation, and by using a signal obtained by demodulating in a discriminator circuit the output of this circuit synchronizing with the modulation to control the switching converter, the power point of the switching converter can be tracked to the maximum power point by following the change in state of the direct current power source.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The extracted video primitives and event occurrences may be used to create and define additional video analytic rules. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A system including an electronic repository having a multiplicity of accesses to a respective multiplicity of electronic documents and metadata; a document rater using a processor to run a first computer algorithm on the multiplicity of electronic documents which yields a score which rates each of the multiplicity of electronic documents to an issue; and a metadata-based document discriminator to run a second computer algorithm on at least some of the metadata which yields leads, each lead having at least one metadata value for at least one metadata parameter, whose value correlates with the score of the electronic documents to the issue, typically used in combination with an electronic document analysis method receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues.

A multi-ladar sensor system is proposed for operating in dense environments where many ladar sensors are transmitting and receiving burst mode light in the same space, as may be typical of an automotive application. The system makes use of several techniques to reduce mutual interference between independently operating ladar sensors. In one embodiment, the individual ladar sensors are each assigned a wavelength of operation, and an optical receive filter for blocking the light transmitted at other wavelengths, an example of wavelength division multiplexing (WDM). Each ladar sensor, or platform, may also be assigned a pulse width selected from a list, and may use a pulse width discriminator circuit to separate pulses of interest from the clutter of other transmitters. Higher level coding, involving pulse sequences and code sequence correlation, may be implemented in a system of code division multiplexing, CDM. A digital processor optimized to execute mathematical operations is described which has a hardware implemented floating point divider, allowing for real time processing of received ladar pulses, and sequences of pulses.

A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

The invention provides an unsupervised domain-adaptive brain tumor semantic segmentation method based on deep adversarial learning. The method comprises the steps of deep coding-decoding full-convolution network segmentation system model setup, domain discriminator network model setup, segmentation system pre-training and parameter optimization, adversarial training and target domain feature extractor parameter optimization and target domain MRI brain tumor automatic semantic segmentation. According to the method, high-level semantic features and low-level detailed features are utilized to jointly predict pixel tags by the adoption of a deep coding-decoding full-convolution network modeling segmentation system, a domain discriminator network is adopted to guide a segmentation model to learn domain-invariable features and a strong generalization segmentation function through adversarial learning, a data distribution difference between a source domain and a target domain is minimized indirectly, and a learned segmentation system has the same segmentation precision in the target domain as in the source domain. Therefore, the cross-domain generalization performance of the MRI brain tumor full-automatic semantic segmentation method is improved, and unsupervised cross-domain adaptive MRI brain tumor precise segmentation is realized.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A device for identifying interference source in wireless communications is provided, including a correlation compound module, a matching and screening module, a statistical analysis module, and a match identification module. The correlation compound module uses the time of arrival (TOA) of the burst as the synchronization basis to compound the correlated frequency word, time difference of arrival (TDOA) word, amplitude word and angle of arrival (AOA) word to form a burst descriptor word (BDW). The matching and screening module uses the BWD to match the burst library to screen out the non-interference sources. The statistic analysis module uses the screened outcome for statistical analysis, and obtains a source discriminator file (SDF). The matching and identification module uses the SDF to search the interference source library for matching and obtains an identification result.

Systems and methods are described for classifying a cardiac rhythm. A cardiac rhythm is classified using a classification process that includes a plurality of cardiac rhythm discriminators. Each rhythm discriminator provides an independent classification of the cardiac rhythm. The classification process is modified if the modification is likely to produce enhanced classification results. The rhythm is reclassified using the modified classification process.

A signal processing system which discriminates between voice signals and data signals modulated by a voiceband carrier. The signal processing system includes a voice exchange, a data exchange and a call discriminator. The voice exchange is capable of exchanging voice signals between a circuit switched network and a packet based network. The signal processing system also includes a data exchange capable of exchanging data signals modulated by a voiceband carrier on the circuit switched network with unmodulated data signal packets on the packet based network. The data exchange is performed by demodulating data signals from the circuit switched network for transmission on the packet based network, and re-modulating data signal packets from the packet based network for transmission on the circuit switched network. The call discriminator is used to selectively enable the voice exchange and data exchange.

A plurality of computer nodes communicates using seemingly random IP source and destination addresses and (optionally) a seemingly random discriminator field. Data packets matching criteria defined by a moving window of valid addresses are accepted for further processing, while those that do not meet the criteria are rejected. In addition to “hopping” of IP addresses and discriminator fields, hardware addresses such as Media Access Control addresses can be hopped. The hopped addresses are generated by random number generators having non-repeating sequence lengths that are easily determined a-priori, which can quickly jump ahead in sequence by an arbitrary number of random steps and which have the property that future random numbers are difficult to guess without knowing the random number generator's parameters. Synchronization techniques can be used to re-establish synchronization between sending and receiving-nodes. These techniques include a self-synchronization technique in which a sync field is transmitted as part of each packet, and a “checkpoint” scheme by which transmitting and receiving nodes can advance to a known point in their hopping schemes. A fast-packet reject technique based on the use of presence vectors is also described. A distributed transmission path embodiment incorporates randomly selected physical transmission paths.

This invention generally relates to an optical filter for a fiber optic communication system. A coupled multi-cavity optical filter may be used, following a directly modulated laser source, and converts a partially frequency modulated signal into a substantially amplitude modulated signal. The optical filter may compensate for the dispersion in the fiber optic transmission medium and may also lock the wavelength of the laser source.

Methods and arrangements for virtual private network (VPN) data packets are disclosed. VPN packets include a payload having Internet Protocol (IP) addresses which guide the packet through a network to a security gateway. The payload may be encrypted and/or compressed and may include internal addresses to denote the real source and destination for a data portion of the payload. As initial control packets are received they are authenticated and rules and procedures are identified for proper treatment of VPN data packets bearing the same source IP address. The rules and procedures are stored in a gateway data engine having a plurality of protocol processing modules. VPN data packets are received by a protocol discriminator which reads the stored rules and procedures identified for the source IP address of the received packet. The discriminator passes the received packet to a first protocol module as identified in the stored rules and procedures. After the first module completes processing, the packet is passed back to the protocol discriminator which determines whether further protocol processing is required. When further protocol processing is required, the packet is passed to another protocol module for processing in accordance with another protocol. At the completion of processing, the second protocol module returns the packet to the protocol discriminator.

To ensure the toll collection of a vehicle carrying an in-vehicle unit without stopping the vehicle at an entrance toll gate or an exit toll gate, an entrance toll gate lane is equipped sequentially from the entrance with a vehicle class discriminator, an entrance vehicle number reader, a first antenna, a vehicle detector, a ticket issuer, a display unit, a vehicle detector, a second antenna and a start detector. The first antenna communicates with an in-vehicle unit of a coming vehicle to write the entrance toll gate data. The display unit is caused, when the communication succeeds, to permit the passage of the vehicle therethrough. When the communication fails, the display unit is caused to stop the vehicle, and the ticket issuer issues the ticket. The second antenna writes the vehicle class data and the registered number data, as detected by the vehicle class discriminator and the vehicle number reader, in an in-vehicle unit. Thus, the existing facilities can be used as they are.

The invention provides a visual significance prediction method based on a generative adversarial network. which mainly comprises the steps of constructing a saliency generative adversarial network (SalGAN) based on two deep convolutional neural network (DCNN) modules, and training. Specifically, the method comprises the steps of constructing the saliency generative adversarial network (SalGAN) based on two deep convolutional neural network (DCNN) modules, wherein the saliency generative adversarial network comprises a generator and a discriminator, and the generator and the discriminator are combined for predicating a visual saliency graph of a preset input image; and training filter weight in the SalGAN through perception loss which is caused by combining content loss and adversarial loss. A loss function in the method is combination of error from the discriminator and cross entropy relative to calibrated true data, thereby improving stability and convergence rate in adversarial training. Compared with further training of individual cross entropy, adversarial training improves performance so that higher speed and higher efficiency are realized.

A method and a system for operating a mobile robot comprise a range finder for collecting range data of one or more objects in an environment around the robot. A discriminator identifies uniquely identifiable ones of the objects as navigation landmarks. A data storage device stores a reference map of the navigation landmarks based on the collected range data. A data processor establishes a list or sequence of way points for the robot to visit. Each way point is defined with reference to one or more landmarks. A reader reads an optical message at or near one or more way points. A task manager manages a task based on the read optical message.

The invention discloses a semi-supervised image classification method based on a generative adversarial network, which mainly solves the problems that the existing unsupervised learning classificationprecision is low and semi-supervised learning needs a large number of accurate labels, and comprises the following implementation steps of: 1) selecting and downloading a standard image training sample and a test sample; 2) setting relevant parameters of network supervised learning, and establishing a generative adversarial network consisting of a generator network, a discriminator network and anauxiliary classifier in parallel; 3) training the generative adversarial network by using a random gradient descent method; and 4) inputting the test sample to be classified into the trained generative adversarial network model, and outputting the category of the image to be detected. The method improves the image classification precision of unsupervised learning, can obtain a very good image classification effect on a sample set only containing a small amount of accurate annotation samples, and can be used for target classification in an actual scene.

An apparatus and method for providing quality of service for the transmission of data packets from a base station in a wireless network to a plurality of mobile stations in a coverage area of the wireless network. The apparatus comprises a packet discriminator for receiving data packets from user devices requesting to transmit data packets to the mobile stations. The packet discriminator determines whether each data packet is a real time application or a non-real time application. The apparatus also comprises a real time traffic packet processor for receiving first selected data packets for real time applications, and a non-real time traffic packet processor for receiving second selected data packets for non-real time applications.

The invention discloses a resonant tracking non-contact power supply device and a resonant tracking non-contact power supply method and aims to mainly solve the problems that the transmission efficiency and transmission distance are reduced and induction voltage is sensitive to load change caused by the change of a resonant point in an LC resonant non-contact power supply. An excitation source with adjustable frequency and amplitude is formed through an adjustable switch power source (102) and a half-bridge switch (103) and is applied to a resonant circuit consisting of an emitting coil (112) and a resonant capacitor (113); a current signal in the resonant circuit is acquired by using a current sampler (104); an automatic resonant frequency tracking circuit consists of a comparator (105), a phase discriminator (106) and a controllable oscillator (107); when the resonant point changes, an excitation frequency is automatically adjusted and an automatic excitation voltage adjusting circuit consists of a wave detecting and filtering circuit (109), an error amplifier (110) and the adjustable switch power source (102) to automatically adjust the excitation voltage when a load changes, so a load voltage is basically constant. The resonant tracking non-contact power supply device can overcome the effects caused by resonant frequency change and load change and is applicable for the occasion of close-range and high-efficiency non-contact power transmission.