Abstract: The present disclosure discloses a method and device for sampling a pulse signal, and a computer program medium.

Abstract: The present application relates to a dual-polarization-joint noise processing method and device. The present application compensates the discrete spectral coefficient noise on the X polarization state with noise information carried by the discrete spectral eigenvalue on the X, Y polarization states, and a correlation coefficient between the discrete spectral eigenvalue and the discrete spectral coefficient on the X polarization state. Similarly, compensating the discrete spectral coefficient noise on the Y polarization state with noise information carried by the discrete spectral eigenvalue on the X, Y polarization states, and a correlation coefficient between the discrete spectral eigenvalue and the discrete spectral coefficient on the Y polarization state.

Abstract: Techniques for improved federated learning are provided. One or more queries are issued to a plurality of participants in a federated learning system, and one or more replies are received from the plurality of participants. A first aggregated model is generated based on the one or more relies and a first influence vector. Upon determining that a predefined criterion is satisfied, a second influence vector modifying a weight of a first participant of the plurality of participants is generated. A second aggregated model is generated based on the one or more replies and the second influence vector.

Abstract: Described herein are systems, methods, devices, and other techniques for implementing smart windows, smart home systems that include smart windows, and user devices and applications for control thereof. A smart window, or photovoltaic window, may include a photovoltaic configured to generate electrical power from incident light onto the photovoltaic window, store the electrical power, and send the electrical power to an electronics package or various electrical loads including a wireless communication system, sensors, or window functions. The photovoltaic window may communicate with various smart home system devices such as hub devices and user devices, which may include the reception of control data at the photovoltaic window and the transmission of sensor data captured by the window sensors.

Abstract: The present invention relates to an improvement in spectral analysis in spectrometry, particularly in a technique of spectral analysis by spectral classification at high speed. A spectral analysis device 10 comprises: a measurement unit 20 that measures a sample spectrum of a target sample 30; and an analysis unit 40 that analyses the sample spectrum, and analyses a compound contained in the target sample 30, wherein the analysis unit has a library that is processed with an arithmetic processing in advance, the library has a plurality of compound groups to which the compound is classified, and the analysis unit further comprises an analysis display part 42, the analysis display part 42 displays, in real time, the compound group to which the compound belongs during analysis of the sample spectrum as the analysis progress or analysis result.

Abstract: An information handling system keyboard, or other type of input device, detects end user input presses with plural optical switches coupled to an aluminum plate. A magnetic field proximity sensor interfaced with the aluminum plate radiates a magnetic field through the aluminum plate to detect end user proximity based upon disruptions to the magnetic field. The optical switches power down their emitters when user absence is sensed and power up the emitters when the user presence is sensed. In alternative embodiments, the aluminum plate mounting of optical switches as described above may detect press inputs at mouse buttons or joystick triggers.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: Scatterometry analysis for a patterned structure, in which a patterned structure model is provided having a selected number of virtual segment data pieces indicative of a respective number of segments of the patterned structure along Z-axis through the structure, the segment data pieces processed for determining a matrix comprising Z-axis derivatives of electromagnetic elds' response of the segment to incident eld based on Maxwell's equations' solution, transforming this matrix into an approximated response matrix corresponding to the electromagnetic eld interaction between two different points spaced along the Z-axis, the transformation preferably carried out by a GPU, and comprises embedding the matrix in a series expansion of the matrix exponential term, the approximated response matrices for all the segment data pieces are multiplied for determining a general propagation matrix utilized to determine a scattering matrix for the patterned structure.

Abstract: Stubble burning is a serious problem resulting in pollution attributable to smog, loss of nutrients in the top soil, and risk of fires spreading out of control. Existing methodologies have attempted to predict burning areas, but have failed to do so because of inefficient sensing mechanism. Present disclosure proposes a system and method to compute burning index score pertaining to crops by detecting harvest season and predicting probable areas of burning by combining current year's crop area map along with harvesting period and historical hot spot information. Computation of the burning index score is accomplished based on inputs received from at least one of satellite imaging, multi-spectral drone based sensing devices and crowdsourcing information. This will help to prioritize the area for taking corrective measures such as training of farmers, availability of resources, optimizing the resources schedule, etc.

Abstract: A refractive index distribution estimating system includes an illumination optical system configured to illuminate a sample, an imaging optical system configured to form an optical sample image, an image sensor configured to capture optical images of the sample, and a processor configured to reconstruct a refractive index distribution of the sample from images.

Abstract: A critical environment monitoring system including a sensor array structured to provide sensor data indicative of temperature, pressure, and humidity in an interior space, and one or more processing circuits comprising one or more memory devices coupled to one or more processors that provides a graphical user interface displaying a compliance standard temperature received from a standard setting body and a temperature value, a compliance standard pressure received from the standard setting body and a pressure value, and a compliance standard humidity received from the standard setting body and a humidity value. The processing circuit also generates an alert in response to one of the temperature value being outside the compliance standard temperature, the pressure value being outside the compliance standard pressure, or the humidity value being outside the compliance standard humidity, records criticality information, and receives a log of actions taken.

Abstract: A method for measuring a position of a fluorophore includes configuring a set of compact light distributions, the set having at least one member, each light distribution characterized by a center, so that there is substantially zero intensity at the center of the set of compact light distributions. The method additionally includes moving the set of compact light distributions in relation to a set of hypothesized positions of the fluorophore, detecting, in a plurality of locations corresponding to the hypothesized set of positions, a set of images; and estimating the position of the fluorophore, by determining from the set of images a set of parameters describing the position of the fluorophore using an inverse problem method.

Abstract: The disclosure discloses methods for determining fitting model for a signal, reconstructing a signal and devices thereof. The determination method may comprise the following steps: segmenting a sampled signal based on collected characteristic information of the signal to obtain a plurality of signal segments; fitting sampling points in the plurality of signal segments using a plurality of fitting models; acquiring fitted values for a parameter of interest in each signal segment based on fitting results; comparing each of the fitted values for the parameter of interest under each of the fitting models with an acquired measurement value for the parameter of interest, and determining a final fitting model for reconstructing the signal among the plurality of the fitting models based on comparison results. In the technical solution provided in the disclosure, the accuracy of the signal reconstruction result and precision of the signal reconstruction may be improved.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: Disclosed is a computer-implemented method for determining a measure of the causal interdependence of a source dataset S and a target dataset Y in the simultaneous presence of a non-empty confounding dataset B. The method includes a dimensional modification step to reduce the complexity of the data and an augmentation step to add information to the dimensionally modified data without a significant increase in size or complexity of the data. The augmented dimensionally modified data is used to calculate a measure of the causality or relatedness between the source dataset S and the target dataset Y. The method enables linear or nonlinear causality analysis of high-dimension multivariate time-series or features datasets, such as time-series datasets generated by functional MRI full-brain scans.

Abstract: Embodiments include a system for providing blood flow information for a patient. The system may include at least one computer system including a touchscreen. The at least one computer system may be configured to display, on the touchscreen, a three-dimensional model representing at least a portion of an anatomical structure of the patient based on patient-specific data. The at least one computer system may also be configured to receive a first input relating to a first location on the touchscreen indicated by at least one pointing object controlled by a user, and the first location on the touchscreen may indicate a first location on the displayed three-dimensional model. The at least one computer system may be further configured to display first information on the touchscreen, and the first information may indicate a blood flow characteristic at the first location.

Abstract: A method and system provide for measuring a repeating waveform of a SUT. The method includes repeatedly sampling first and second copies of the SUT to provide first SUT waveforms including first noise introduced by a first digitizer and second SUT waveforms including second noise introduced by a second digitizer; pairing the first and second SUT waveforms to provide corresponding pairs of first and second digital samples; organizing the pairs of first and second digital samples into groups of sample pairs corresponding to sampling times; for each group, calculating a covariance of the first and second digital samples to estimate a signal variance of the SUT, and scaling the first and second digital samples to preserve a mean of the group while adjusting a variance of the group to match the estimated signal variance of the SUT at the corresponding sampling time; and reassembling the groups into the SUT waveform.

Abstract: Aspects of the present disclosure are directed to radar signal processing apparatuses and methods. As may be implemented in accordance with one or more embodiments, digital signals representative of received reflections of radar signals transmitted towards a target are mathematically processed to provide or construct a matrix pencil based on or as a function of a forward-backward matrix. Eigenvalues of the matrix pencil are computed and an estimation of the direction of arrival (DoA) of the target is output based on the computed eigenvalues.

Abstract: A method includes obtaining one or more speech models, each model including one or more acoustic states and, provided that the model includes multiple acoustic states, allowed transitions therebetween. The method further includes receiving a speech sample produced by a subject while a physiological state of the subject was unknown. The method further includes mapping at least one sample portion of the speech sample to a respective one of the speech models, by computing a plurality of feature vectors quantifying acoustic features of different respective portions of the sample portion, and mapping the feature vectors to respective acoustic states included in the speech model such that a total distance between the feature vectors and the respective acoustic states is minimized. The method further includes, in response to mapping the sample portion to the speech model, communicating an output indicating the physiological state of the subject. Other embodiments are also described.

Abstract: The present disclosure relates to the technical field of aquafarm monitoring, and in particular to a method, system and apparatus for intelligently monitoring an aquafarm with multi-dimensional panoramic perception. The method includes: analyzing preprocessed multi-dimensional panoramic perception information with time series analysis to obtain a linear fitting model; constructing a water quality forecasting-alarming model according to the linear fitting model; inputting fused data to a convolutional neural network (CNN) for training to obtain an electrical device fault diagnosis model; and monitoring an aquafarm with the water quality forecasting-alarming model and the electrical device fault diagnosis model.

Abstract: Embodiments match sensor data output by a sensor to a trained pattern. Embodiments form a plurality of windows of an identified pattern from the sensor data, each of the plurality of windows having a substantially equal window length to a length of the trained pattern. For each of the windows, embodiments generate a corresponding first Symbolic Aggregate approximation (“SAX”) word, determine a Hamming distance between the first SAX word and a second SAX word corresponding to the trained pattern, and determine a final distance score based on coefficients between the first SAX word and the second SAX word. For each of the windows, embodiments determine a number of positions in the first SAX word that do not contribute to the final distance score, update the Hamming distance after eliminating the number of positions and determine an average distance based on the final distance score and the updated Hamming distance.

Abstract: A system and methods for OCD metrology are provided including receiving multiple first sets of scatterometric data, dividing each set into k sub-vectors, and training, in a self-supervised manner, k2 auto-encoder neural networks that map each of the k sub-vectors to each other. Subsequently multiple respective sets of reference parameters and multiple corresponding second sets of scatterometric data are received and a transfer neural network (NN) is trained. Initial layers include a parallel arrangement of the k2 encoder neural networks. Target output of the transfer NN training is set to the multiple sets of reference parameters and feature input is set to the multiple corresponding second sets of scatterometric data, such that the transfer NN is trained to estimate new wafer pattern parameters from subsequently measured sets of scatterometric data.

Abstract: An agricultural field management system includes a plurality of communication devices arranged in an agricultural field and configured to detect a physical quantity indicating dynamic movement of objects, a dispatcher arranged in the agricultural field and configured to communicate with each of the communication devices, a management apparatus configured to move in the agricultural field. Each of the communication devices is configured to generate first notification information indicating a danger the communication devices, and second notification information indicating an emergency having a urgency degree higher than the danger of the first notification information to the communication devices, defer to transmit the second notification information to the dispatcher until receiving activation information from the dispatcher, and transmit the second notification information to the dispatcher upon receiving the activation information.

Abstract: The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.

Abstract: Systems and methods for monitoring the cleaning conditions of a facility include the use of a cleaning apparatus with a tracking device. The tracking device is adapted to detect an operating parameter of the cleaning apparatus. In embodiments, the operating parameter includes at least one of the location of the cleaning apparatus within a facility over time, the movement of the cleaning apparatus, and the dynamic coefficient of friction encountered by a cleaning head of the cleaning apparatus as it traverses a surface being cleaned in the facility.

Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to estimate and recover normal signals for the some tags based on the signal subset U*, the first learning signal subset X*, the feature information F, the recovery information P on the plurality of recovery models, and similarity Z.

Abstract: An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: Embodiments match sensor data output by a sensor to a trained pattern. Embodiments form a plurality of windows of an identified pattern from the sensor data, each of the plurality of windows having a substantially equal window length to a length of the trained pattern. For each of the windows, embodiments generate a corresponding first Symbolic Aggregate approximation (“SAX”) word, determine a Hamming distance between the first SAX word and a second SAX word corresponding to the trained pattern, and determine a final distance score based on coefficients between the first SAX word and the second SAX word. For each of the windows, embodiments determine a number of positions in the first SAX word that do not contribute to the final distance score, update the Hamming distance after eliminating the number of positions and determine an average distance based on the final distance score and the updated Hamming distance.

Abstract: A garment comprising a central portion including a plurality of electrocardiogram leads, a plurality of auscultation acoustic sensor devices, a flexible respiratory sensor located so that it substantially circumscribes the garment, one or more blood pressure cuff portions located on an at least one arm portion of the garment, wherein the cuff portions are adapted to be loosened and/or tightened and a hardware device for sending and receiving signals via wired or wireless communication.

Abstract: Systems and methods to track the respective locations of subjects over time. The system identifies subjects who, overtime, were co-located with one another suggesting they are associated with one another, and the pairs are analyzed. For each of the subjects, the system produces a vector that quantifies the subject's location history by including a respective weight for each combination of a time interval with a geographical area. The vectors are compared using a distance metric, and any pair of subjects whose vectors are sufficiently close are flagged as being an associated pair. The respective vector belonging to each subject is normalized to account for the total number of other subjects who were co-located with the subject. For each interval-area pair, the system may compute the frequency of the interval-area pair, and then divide each weight that corresponds to the interval-area pair by the frequency of the interval-area pair.

Abstract: The disclosure provides an inspection method determining whether there is a defect in an electrode structural body including a cathode electrode layer, an electrolyte layer and an anode electrode layer electrode by an image processor. The inspection method includes a step of scanning the electrode structural body along a scanning direction to obtain a continuous transmission image, a step of digitizing a shade of each pixel of the transmission image, a step of calculating a difference value between a grayscale of a specific pixel and a median value of grayscales of comparison pixels located in front or rear of the specific pixel along the scanning direction, and a step of determining presence or absence of the defect according to the difference value and a predetermined threshold value.

Abstract: Systems and methods to perform remote monitoring on a vehicle are described. One embodiment determines a state of a vehicle, where data associated with the vehicle is collected and logged. The data is transmitted to a data server. The data is processed, and vehicle information is extracted from the data. A state of the vehicle is determined based on the vehicle information.

Abstract: An ultrasonic processing apparatus is provided. The ultrasonic processing apparatus comprises an ultrasonic therapy transducer (ATA) adapted to generate focused ultrasonic waves; an ultrasonic imaging transducer (UID) connected to the ultrasonic therapy transducer; and an electronic system configured to control the ultrasonic therapy transducer so as to emit a pulse train of ultrasonic waves generating a cloud of cavitation bubbles (BC); control the ultrasonic imaging transducer so as to acquire at least one image of the region to be processed; acquire a plurality of echo signals of ultrasonic wave pulses emitted by the ultrasonic therapy transducer captured by the ultrasonic imaging transducer; process the plurality of echo signals so as to reconstruct an image of the cloud of cavitation bubbles; and display said image of the cloud of cavitation bubbles superposed on said image of the region to be processed. The processing includes spatio-temporal filtering.

Abstract: A sonic speed measurement device includes a reception array in which a plurality of reception elements which output reception signals in response to reception of an ultrasonic wave are disposed in one direction, a phase difference detection portion that detects a phase difference between the reception signals output from the reception elements adjacent to each other in a case where the plurality of reception elements receive the ultrasonic wave which propagates in a spherical wave shape from a target point, and a sonic speed calculation portion that calculates a sonic speed of the ultrasonic wave on the basis of the phase difference.

Abstract: Secure range estimates as described herein may include determining a range estimate between two Bluetooth enabled devices based, at least in part, on round trip phase measurements of wireless signals transmitted between the devices. In one example, a range estimate may include determining a first set of relative carrier measurements at a first set of frequencies, determining a second set of relative carrier measurements based on the first set at the second set of frequencies; and combining the first set and the second set to estimate a distance between the devices.

Abstract: At least one speech model, which includes one or more acoustic states exhibited in one or more reference speech samples and defines allowed transitions between the acoustic states, is obtained. At least one test speech sample produced by a subject is received. A plurality of test-sample feature vectors that quantify acoustic features of different respective portions of the test speech sample are computed. The test speech sample is mapped to a minimum-distance sequence of the acoustic states, by mapping the test-sample feature vectors to respective ones of the acoustic states such that a first total distance between the test-sample feature vectors and the respective ones of the acoustic states is minimized. A different, second total distance between the test-sample feature vectors and the respective ones of the acoustic states is computed. Responsively to the second total distance, an output indicating a physiological state of the subject is generated.

Abstract: The present application relates to a system for performing time-resolved interferometric spectroscopy of incoming light. In some embodiments, the system includes one or more optical elements, a photo-detector, a capacitance detector, and one or more processors. Upon application of a varying input signal to the one or more optical elements, a change to an optical characteristic is caused resulting in a changing interference pattern produced by the incoming light incident on the one or more optical elements. During the application of the varying input signal, the photo-detector may detect an intensity of light output from the one or more optical elements and the capacitance detector may detect a capacitance of the one or more optical elements.

Abstract: A redundant memory for use with an instrument arranged to acquire and store data while underwater. Such an instrument comprises a main housing which contains instrument electronics that acquires and may process data received from one or more sensors, with a primary memory located within the main housing and arranged to store at least some of the acquired and/or processed data, and a secondary memory which stores a copy of the data stored in the primary memory. The instrumentation may be arranged to write data to the primary and secondary memories contemporaneously in either a burst or continuous mode, or with primary memory backed up to secondary memory periodically and/or in response to the occurrence of a triggering event. The instrument may comprise a second housing within which the secondary memory is located. The main and second housings may be contained within a common enclosure.

Abstract: In a dark-field metrology method using a small target, a characteristic of an image of the target, obtained using a single diffraction order, is determined by fitting a combination fit function to the measured image. The combination fit function includes terms selected to represent aspects of the physical sensor and the target. Some coefficients of the combination fit function are determined based on parameters of the measurement process and/or target. In an embodiment the combination fit function includes jinc functions representing the point spread function of a pupil stop in the imaging system.

Abstract: A transceiver is disclosed. The transceiver accesses a CFO (carrier frequency offset) estimate, and, for each of one or more working frequencies: transmits a transmitter RF signal at each working frequency, receives a receiver RF signal at each working frequency, and generates first I/Q measurement data based at least in part on the received receiver RF signal and the CFO estimate. In some embodiments, the transceiver receives I/Q measurement information for each working frequency. In some embodiments, the transceiver generates second I/Q measurement data based at least in part on the received I/Q measurement information. In some embodiments, the transceiver estimates a distance between the antenna and an antenna of another device based at least in part on the first and second I/Q measurement data.

Abstract: A radar system, apparatus, architecture, and method are provided for generating a mono-static virtual array aperture by using a radar control processing unit to construct a mono-static MIMO virtual array aperture from radar signals transmitted orthogonally from transmit antennas and received at each receive antennas, and to construct a mono-static MIMO forward difference virtual array aperture by performing forward difference co-array processing on the mono-static MIMO virtual array aperture to fill in holes in the mono-static MIMO virtual array aperture, thereby mitigating or suppressing spurious sidelobes caused by gaps or holes in the mono-static MIMO virtual array aperture.

Abstract: Providing for increased flexibility for large scale parity, the including: writing data to a storage system, including utilizing a first data protection scheme; identifying, for storage media in the storage system, characteristics of the storage media; identifying, in dependence up the characteristics for the storage media, a second data protection scheme to use for the data; and writing the data to the to the storage system utilizing the second data protection scheme.

Abstract: A method for providing sensor data, including providing a maximum measuring range for the sensor, providing a first measuring range which is within the maximum measuring range, providing the sensor data in a data structure having a size that corresponds to the first measuring range, providing a second measuring range which is different from the first measuring range and is within the maximum measuring range, adapting the provided sensor data of the first measuring range for the second measuring range so that the adapted sensor data are provided in an expanded data structure having a size that corresponds to the maximum measuring range, and the provided sensor data being arranged as a function of the difference of the size between the maximum and the second measuring range and the size of the second measuring range within the expanded data structure, and the sensor-data-free sections being filled with values.

Abstract: An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: A method of parameter estimation for a multi-input multi-output system based on deep learning is executed. The method includes creating a connection between the base station and a user device entering a coverage of the base station, transmitting real-time channel information from the user device to the base station through the connection, optimizing a parameter for the user device based on the real-time channel information through a deep learning algorithm, transmitting the optimized parameter to the user device, and applying the optimized parameter in a signal detection for the multi-input multi-output system at the user device. The real-time channel information is a channel status of the user device upon the creation of the connection between the base station and the user device. Another method of parameter estimation for a multi-input multi-output system having a base station and a plurality of user devices is also disclosed.

Abstract: The present application provides a vector denoising method and a vector denoising device for multicomponent seismic data, which relate to the field of seismic data processing technologies. The vector denoising method for multicomponent seismic data includes: decomposing multicomponent seismic gather data to obtain a plurality of small multicomponent seismic data; obtaining quaternary frequency domain seismic data by performing a quaternary Fourier transformation according to each of the plurality of small multicomponent seismic data; extracting frequency slices from the quaternary frequency domain seismic data in a quaternary frequency domain, and filtering the frequency slices by using a Cadzow filtering method to obtain filtered quaternary frequency domain seismic data; and performing an inverse quaternary Fourier transformation on the filtered quaternary frequency domain seismic data to obtain filtered seismic data of each component.

Abstract: In some examples, a computer-implemented method for determining a state of a dependent user is provided. A flag is generated if a measured first parameter for a dependent user is within a range of values of a respective defined first parameter and a measured second parameter for the dependent user is within a range of values of a respective defined second parameter, and the measured first parameter and the measured second parameter occur within a temporal window.

Abstract: A method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.

Abstract: The present invention is a sample processing apparatus. The apparatus includes: a sample processing unit configured to process a sample; a display; a memory for storing an electronic manual for the sample processing apparatus; and a controller that is capable of showing a relevant part of the electronic manual on the display when a trouble has occurred in the sample processing unit, the relevant part of the electronic manual describing an operation procedure to deal with the trouble.

Abstract: It is provided a method of matching pairs of persons. The method includes receiving from the persons personal opinions on other persons, and based on a collaborative filtering algorithm, calculating from the personal opinions a first estimated opinion of a first person on a second person and a second estimated opinion of the second person on the first person. The method also includes matching the two persons in accordance with the estimated opinions and connecting them for a predetermined time duration. The first estimated opinions may be the estimated probability that the first person wants to be matched to the second person. The matching of the two persons is done in accordance with the product of the probabilities. Matching order is determined by a difference between a highest and a second highest product of a person in two different pairs.