Abstract: An evaluation method and device according to the purposes of a reusable battery are disclosed. The disclosed method comprises the steps of: obtaining state of health (SOH) information, state of balance (SOB) information, and state of power (SOP) information of a reusable battery; extracting evaluation parameters from the SOH information, the SOB information, and the SOP information; substituting the evaluation parameters into each of a plurality of evaluation models which are set differently according to use purposes of the reused battery; and calculating an evaluation result corresponding to the use purposes of the reused battery from the evaluation parameters by using the plurality of evaluation models, wherein the SOB information includes information on a correlation between the SOC and the SOB according to a change in a state of charge (SOC) of the reusable battery.

Abstract: A method for machine monitoring including causing a first sensor to acquire at least a first non-stationary signal from at least one machine operating in a non-stationary manner during at least one operational time frame, causing a second sensor to acquire at least a second non-stationary signal from the at least one machine during the operational time frame, fusing a first non-stationary output provided by the first sensor with a second non-stationary output provided by the second sensor, extracting at least one feature from the fused output, analyzing the at least one feature to ascertain a state of health of the at least one machine and performing at least one operation on the at least one machine based on the state of health as found by the analyzing.

Abstract: A pulse baseline value calculation method and a particle counting method of a blood cell analyzer. The said pulse baseline value calculation method, within pulse non-duration time, if an absolute value of a difference value between any two adjacent data of n continuous sampled data is less than a baseline threshold, and the n continuous sampled data are closest to a pulse starting point, an average value of the n continuous sampled data is calculated, and the average value is a pulse baseline value. The present invention has the advantages of setting the baseline threshold and performing comparison, avoiding the sampled data of the baseline where the noise is superimposed, selecting the sampled data with noise or interference within an allowable range for calculation, avoiding accumulating the noise on the final baseline value, making the baseline value be closer to the real data, greatly reducing the erroneous judgment of the baseline value, and making the particle count be more accurate.

Abstract: A display device includes an active matrix substrate and a detection circuit. The active matrix substrate has pixels that are configured to display an image. The pixels include display and photo sensing pixels each including a display region and a photo sensing region. The display region is configured to emit light with a predetermined emitting frequency in a blank period of the display device. The photo sensing region is adjacent to the display region, and is configured to detect the light emitted by the display region and reflected from a biometric object and to convert the reflected light into photo detection signals. The detection circuit is coupled to the photo sensing circuit of each of the display and photo sensing pixels, and is configured to construct a biometric pattern corresponding to the biometric object based on the photo detection signals.

Abstract: Aspects and examples are directed to programmable optical finite impulse response filters and optical infinite impulse response filters, which may be implemented as photonic integrated circuits.

Abstract: The present invention discloses a 3D defect detection method with magnetic flux leakage testing (MFLT). It has advantages of higher accuracy of 3D detection of defect and simpler testing device relative to the prior MFLT art. This method includes the following steps: S1: artificially magnetizing a to-be-tested structure, and measuring its MFLT signals {B}; S2: inverting magnetic charge distribution of the interior of the to-be-tested structure by using a magnetic charge distribution reconstruction algorithm to obtain the magnetic charge density of a non-defective region of the to-be-tested structure; and S3: using the magnetic charge density of the non-defective region of the to-be-tested structure as a known constant, and conducting inverse iteration to reconstruct defect depth of the defective region to obtain a 3D image of the defective region of the to-be-tested structure.

Abstract: Apparatuses (and methods of manufacturing same), systems, and methods concerning polyphase digital filters are described. In one aspect, an apparatus is provided, including at least one pair of subfilters, each having symmetric coefficients, and a lattice comprising two adders and feedlines corresponding to each of the at least one pair of subfilters, each having symmetric coefficients. In one aspect, the apparatus is a polyphase finite impulse response (FIR) digital filter, including an interpolator and a decimator, where each of the interpolator and the decimator have at least one pair of subfilters, each having symmetric coefficients, and a lattice comprising two adders and feedlines corresponding to each of the at least one pair of subfilters, each having symmetric coefficients.

Abstract: A vehicle control device stores learning data to correct a parameter used in a control program for controlling a vehicle, determines whether or not a part controlled by the parameter has been replaced; and resets the learning data when determining that the part has been replaced. The vehicle control device determines whether or not the part has been replaced by identifying individuality of the part based on characteristics of a sensor output from a sensor provided in the part.

Abstract: A sniffer bus-based network General Purpose Interface Bus (GPIB) module includes two functional units. One is Data Acquisition Unit (DAU) module, and the other one is Data Processing Unit (DPU) module. The DPU is configured to receive data from the (DAU) module and converting the data by time-stamping and a host server configured to receive JSON format data via a communication network. Further, captured data is transferred to the cloud for big data analysis to obtain the specifics of equipment utilization and evaluate the overall efficiency of the test system.

Abstract: A method and processor to determine spatial information regarding a vehicle. The method includes receiving at least one initial frame of FMCW radar data including spatial information regarding the vehicle associated with a radar signal reflected back from the vehicle via a surface of at least one stationary object other than the vehicle. The method also includes receiving at least one further frame of FMCW radar data including: spatial information regarding the vehicle associated with a radar signal reflected back from the vehicle via the surface of at least one stationary object other than the vehicle, and spatial information regarding the vehicle associated with a radar signal reflected directly back from the vehicle. The method further includes using the at least one initial frame of radar data to correct for static clutter associated with the at least one stationary object in the at least one further frame of radar data.

Abstract: Example implementations described herein involve systems and methods for conducting feature extraction on a plurality of templates associated with vibration sensor data for a moving equipment configured to conduct a plurality of tasks, to generate a predictive maintenance model for the plurality of tasks, the predictive maintenance model configured to provide one or more of fault detection, failure prediction, and remaining useful life (RUL) estimation.

Abstract: Logged data from an autonomous vehicle is processed to generate augmented data. The augmented data describes an actor in an environment of the autonomous vehicle, the actor having an associated actor type and an actor motion behavior characteristic. The augmented data may be varied to create different sets of augmented data. The sets of augmented data can be used to create one or more simulation scenarios that in turn are used to produce machine learning models to control the operation of autonomous vehicles.

Abstract: Techniques for processing event streams are provided that retain attributes or fields from a current event or group during stream aggregation. An exemplary technique includes receiving a stream of events having an input shape having a plurality of attributes and executing a query on the stream of events. The executing includes: (i) summarizing data of a first attribute of the plurality of attributes based on an aggregate function to generate values of data for a result-set, (ii) collecting data of events with values that are identical for a second attribute of the plurality of attributes based on a group by function to group the result-set by the second attribute, and (iii) preserving data of a third attribute of the plurality of attributes based on a current function. The technique further includes outputting events having an output shape having the first attribute, the second attribute, and the third attribute.

Abstract: A multi-mode radar system, radar signal processing methods and configuration methods, including using predetermined, range/mode-specific pushing windows to perform windowing on range and velocity object data before performing an FFT on the windowed object data matrix to generate a three-dimensional object matrix including range, velocity and angle data. The individual windows have an angular spectral response that corresponds to a combined angular coverage field of view of the transmit and receive antennas for the corresponding mode to minimize the total weighted energy outside the main lobe and to provide increasing spectral leakage outside the combined angular coverage field of view with angular offset from the main lobe to push out much of the spectral leakage into regions where leakage tolerance is high due to the corresponding combined angular coverage field of view of the transmit and receive antennas.

Abstract: Systems, methods, and computer program product embodiments are disclosed for filtering noise from an input signal. An embodiment accesses the input signal having a first harmonic frequency and having the noise. The embodiment determines a quiet period in the input signal. The embodiment stores samples of the noise of the input signal in a buffer during the quiet period. The embodiment subtracts the samples from a single cycle of the noise in the buffer from the input signal to create a filtered signal. The embodiment then repeats the determining, storing, and subtracting to refine the filtered signal.

Abstract: Integrated circuits for sensing biological molecules are disclosed. The integrated circuits can be used to measure the impedance of a biological sample under test. The integrated circuits can be used to sequence polynucleotides using a cell array.

Abstract: An analysis system for an aviation radiation dose includes: a proton spectrum generator which generates a galactic cosmic ray incident on the Earth's atmosphere and a proton spectrum corresponding to a solar proton event; a global radiation dose map producer which generates-particle transport and produces a radiation dose map; a global radiation dose map converter which converts the radiation dose map based on a standard atmosphere into a radiation dose map corresponding to current atmosphere conditions in real time; and a database in which data necessary for operations of the proton spectrum generator, the global radiation dose map producer and the global radiation dose map converter is previously calculated and stored, thereby having an effect on estimating any radiation route dose if information about an arbitrary path and time is given.

Abstract: A system for performing magnetic resonance imaging (MRI) of a subject has a pulse sequence system that generates a pulse sequence and has a gradient system, a plurality of gradient coils, a radio-frequency system, and a plurality of RF coils. The pulse sequence system causes the subject to emit MR signals which are captured as k-space data. The system also has a k-space ordering processor that collects first k-space data and second k-space data, an MR signal modeler that generates a signal variation model, and a compensation module that applies the signal variation model to the second k-space data collected to produce compensated k-space data. A display processor reconstructs the compensated k-space data into an image of the subject. The compensated data accounts for variation in magnetization during the pulse sequence and k-space data collection to reduce artifacts in the images.

Abstract: Systems and/or devices for implementing a tracking device for tracking a position/location and orientation of an object are provided herein. The device comprises one or more sides that define a predetermined shape, and a plurality of inertial measurement units (IMU) mounted to the one or more sides of the predetermined shape. Each IMU is configured to detect movement of the object and generate inertial output data representing a position and/or orientation of the object. Each IMU includes a first sub-sensor and a second sub-sensor. Each IMU is positioned at a predetermined distance and orientation relative to a center point of the tracking device.

Abstract: The present invention discloses a registration method and system for a non-rigid multi-modal medical image. The registration method comprises: obtaining local descriptors of a reference image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the reference image; obtaining local descriptors of a floating image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the floating image; and finally obtaining a registration image according to the local descriptors of the reference image and the floating image. In the present, by using self-similarity of the multi-modal medical image and adopting the Zernike moment based local descriptor, the non-rigid multi-modal medical image registration is thus converted into the non-rigid mono-modal medical image registration, thereby greatly improving its accuracy and robustness.

Abstract: An apparatus monitors physical signals, such as vibration, produced by an asset, such as a motor. Sensor signals corresponding to the physical signals are applied to a bandpass Görtzel filter that passes a frequency band around a characteristic frequency of a physical signal. An analyzer produces information corresponding to the physical condition of the asset based on the Görtzel filtered signal. A tracking unit periodically updates parameters of the Görtzel filter so that the bandpass frequencies of the Görtzel filter track the characteristic frequency of the physical signal. Each Görtzel filter may include a comb filter whose output is applied to a plurality of resonators, whose outputs are applied to a windowing unit. The Görtzel filter is preferably a Görtzel filter block that is made up of a plurality of individual Görtzel filters.

Abstract: Methods, systems, and computer readable media for physiology parameter-invariant meal detection are disclosed. According to one system, the system includes at least one processor and a meal detection module implemented using the at least one processor. The meal detection module is configured to receive insulin intake information and blood glucose level information for a user, to detect a meal event using a physiology parameter-invariant meal detection algorithm, and after detecting the meal event, to perform at least one control action associated with insulin management.

Abstract: The present disclosure provides systems and methods for seizure detection. The method for seizure detection may include receiving a plurality of electroencephalography (EEG) signals over a plurality of channels for a subject, preprocessing the plurality of EEG signals by segmenting the plurality of EEG signals for each channel into a plurality of temporal data segments, extracting a plurality of features from each temporal data segment for each channel, and applying a machine learning algorithm to the plurality of features to perform a seizure binary classification for each temporal data segment for each channel. A control policy may be employed to determine a seizure burden on the aggregated seizure binary classifications. When the seizure burden is equal to or exceeds a threshold, a notification may be generated. The notification may be usable by a healthcare practitioner to assess whether the subject may be at risk of having a seizure.

Abstract: Provided is a microscope including: an illumination optical system that irradiates a specimen including a fluorescent substance with illumination light; an observation optical system including an objective lens; an imager that takes an image formed by the observation optical system; an image processor that performs image processing by using a result of the image taking; and a controller that moves at least one of a stage and the objective lens in the optical axis direction of the objective lens.

Abstract: The present disclosure relates a method of detecting an electrical disturbance by a DC component in a digital protective relay, which includes acquiring a sample value by sampling an input signal at a regular cycle, detecting the electrical disturbance based on a difference between a sampled first sample value and a second sample value after the first sample value, and when the electrical disturbance is detected, detecting the DC component based on a difference between the second sample value and a third sample value after the second sample value and a difference between the third sample value and a fourth sample value after the third sample value.

Abstract: Systems and methods for minimizing demand charges includes generating historical demand profiles having a plurality of demand charge threshold (DCT) values over a period of time, filtering the DCT values using weighting factors to provide filtered DCT values such that DCT underestimations and overestimations are removed from optimization, determining an optimal DCT output value from the filtered DCT values such that the optimal DCT output value is based on the historical demand profiles and the weighting factors, and distributing energy in one or more batteries in accordance with the optimal DCT output value and current energy demand to minimize energy and demand charges.

Abstract: Described is a system for adaptive blind source separation. A time-series of data points from one or more mixtures of source signals is continuously passed through adaptable filters, where each filter has a corresponding output signal. An error of each output signal is determined, and a filter state of each filter is determined using the error signals. A set of filter center frequencies are adapted using the set of error signals and the filter states, resulting in new filter center frequencies. The set of filter center frequencies are updated with the new filter center frequencies. Finally, separated source signals are extracted from the mixture of signals.

Abstract: Provided is a method of reconstructing an audio signal, the method including detecting a lossy frequency band, based on an energy value of each of frequencies of the audio signal; obtaining a cut-off frequency, based on the lossy frequency band; and reconstructing the audio signal of the lossy frequency band, based on the cut-off frequency.

Abstract: The present invention relates to device, system and method for counting the number of cycles of a periodic movement of a subject, e.g. for step counting of a person.

Abstract: Lost, misplaced, incorrectly delivered, and damaged assets are a common occurrence in shipment or asset tracking. Disclosed are various embodiments concerning a battery-less or intermittent battery use environments in which a node uses internal logic (e.g., circuitry and/or software) that, based at least in part on sensor information and stored information regarding the history of the node, may track events that have occurred to the node. The node may be responsive to events and determine whether exceptions have occurred that require attention. For example, detecting damage might cause the node to update an output to indicate the node and associated material, if any, needs to be rerouted to address the exception.

Abstract: In a method for estimating a noise level representing the magnitude of a noise component from measurement data, first waveform data composed of high frequency noise components extracted from assumed noise data are divided into segments so that each section where positive values successively occur or each section where negative values successively occur in the first waveform data is defined as one segment. A segment-width threshold is determined based on the distribution of the widths of the segments. Second waveform data composed of high frequency noise components extracted from measurement data are divided into segments in the same manner. Each segment having a width larger than the threshold is excluded from the segments in the second waveform data, to create a first segment group. The noise level is determined based on the heights or areas of the plurality of segments included in the first segment group.

Abstract: A system and method is disclosed which monitors factors in order to prevent impending component failure within a mechanical system, such as an aircraft. The monitoring system monitors the health and condition of system components, and utilizes proprietary algorithms to predict impending failures in monitored components before failure occurs. The system can shut down a component, send an alert, or adjust component thresholds as required.

Abstract: Methods and systems to achieve highly efficient rotational machine integrity determinations in which at least one sensor (106) senses indicia (105) such as time-varying rotational indicia from a rotational motive apparatus (103) and a processor (108) may provide many different functions including but not limited to operational function energy apportioning decisional processing, data compression, intelligent hierarchical data ranking, differential data processing, or the like perhaps to generate information (109) such as a rotational integrity abridgment transmissor to which an abridgment transmissor electromagnetic signal (112) may be created and perhaps even transmitted from a rotational motive apparatus to facilitate a machine integrity determination.

Abstract: Systems and methods for predictive health monitoring of gyroscopes and accelerometers are provided. In one embodiment, a system comprises: a plurality of navigation devices each comprising at least one gyroscope or accelerometer and at least one predictive health monitoring module, wherein the at least one predictive health monitoring module collects diagnostic parameters from the at least one gyroscope or accelerometer; and at least one server communicatively coupled to the plurality of navigation devices, the at least one server configured to receive the collected data from the plurality of navigation devices and analyze the collected data from the plurality of navigation devices to determine a service prognosis.

Abstract: An integrated inertial motion capture system includes external position aiding such as optical tracking. The integrated system addresses and corrects misalignment between the inertial (relative) and positioning reference (external) frames. This is especially beneficial when it is not feasible to rely on magnetometers to reference the heading of the inertial system. This alignment allows effective tracking of yaw in a common reference frame for all inertial sensing units, even those with no associated positional measurements. The disclosed systems and methods also enable an association to be formed between the inertial sensing units and positional measurements.

Abstract: The invention relates to a measuring device for measuring a high-frequency signal and a method for correcting a high-frequency signal superposed with measurement errors by means of the measuring device. The measurement is a time-domain measurement in real-time. The measuring device provides a measurement-signal input, an analog digital converter and a processing unit, wherein the measurement-signal input is connected to a device under test in order to measure the high-frequency signal. According to the invention a deembedding unit is arranged in the signal path of the measuring device between analog-digital converter and the processing unit in order to compensate measurement errors resulting from the connection of devices under test and measuring devices.

Abstract: A network node for monitoring a mobile asset in a geographical area. The network node is among a number of network nodes disposed in the geographical area that are configured to receive an Internet-of-things (IoT) signal from the mobile asset, and send respective time stamps, each representing a time-of-arrival (TOA) of the IoT signal, to a network aggregation system to generate a time-difference-of-arrival (TDOA) from which a geolocation of the mobile asset is generated.

Abstract: A method is carried out by a data stream management system suitable for executing continuous queries on input data streams. Primary continuous queries are executed by, or provisioned to be executed by, the data stream management system on one or more input data streams in order to produce one or more output data streams. In the method, at least one secondary continuous query is generated for execution on the data stream management system on one or more input data streams. The generated secondary continuous queries are different from the primary continuous queries, and the secondary continuous queries are generated based on the at least one primary continuous query. The generation of secondary continuous queries notably enables, when ad-hoc continuous queries are requested, to quickly start outputting data streams for these ad-hoc queries. Data stream management systems and computer programs are also disclosed.

Abstract: Method and/or apparatus for independent component analysis of a mixed electronic signal. Candidate signal components are determined, and mutual information (MI) criteria between each candidate signal component is minimized. The candidate signal components are optimized using polar coordinates.

Abstract: An integrated semiconductor device for measuring a magnetic field, comprising: a Hall sensor, a first lateral isotropic sensor having a first stress sensitivity and a first temperature sensitivity, a second lateral isotropic sensor having a second stress sensitivity and a second temperature sensitivity, optional amplifying means, digitization means; and calculation means configured for calculating a stress and temperature compensated Hall value in the digital domain, based on a predefined formula which can be expressed as an n-th order polynomial in only two parameters. These parameters may be obtained directly from the sensor elements, or they may be calculated from a set of two simultaneous equations. A method of obtaining a Hall voltage signal, and compensating said signal for stress and temperature drift.

Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.

Abstract: In one embodiment, a method comprises receiving, by an apparatus from each of a plurality of wireless sensor devices in a wireless sensor network, clock drift information associated with a clock in the corresponding wireless sensor device; determining for each wireless sensor device, by the apparatus, an expected clock drift based at least on the clock drift information from the corresponding wireless sensor device; and sending, by the apparatus to each wireless sensor device, a corresponding drift compensation command for correcting the corresponding expected clock drift, enabling controlled synchronization of the corresponding wireless sensor device within the wireless sensor network.

Abstract: A real-time multi-channel EEG signal processor based on an on-line recursive independent component analysis is provided. A whitening unit generates covariance matrix by computing covariance according to a received sampling signal. A covariance matrix generates a whitening matrix by a computation of an inverse square root matrix calculation unit. An ORICA calculation unit computes the sampling signal and the whitening matrix to obtain a post-whitening sampling signal. The post-whitening sampling signal and an unmixing matrix implement an independent component analysis computation to obtain an independent component data. An ORICA training unit implements training of the unmixing matrix according to the independent component data to generate a new unmixing matrix. The ORICA calculation unit may use the new unmixing matrix to implement an independent component analysis computation. Hardware complexity and power consumption can be reduced by sharing registers and arithmetic calculation units.

Abstract: A method of post-processing banded gains for applying to an audio signal, an apparatus to post-processed banded gains, and a tangible computer-readable storage medium comprising instructions that when executed carry out the method. The banded gains are determined by input processing one or more input audio signals. The method includes post-processing the banded gains to generate post-processed gains, generating a particular post-processed gain for a particular frequency band including percentile filtering using gain values from one or more previous frames of the one or more input audio signals and from gain values for frequency bands adjacent to the particular frequency band.

Abstract: A system, apparatus, method, computer program product, and computer readable storage medium provide the ability to reconstruct a surface mesh. Photo image data is obtained from a set of overlapping photographic images. Scan data is obtained from a scanner. A point cloud is generated from a combination of the photo image data and the scan data. An initial rough mesh is estimated from the point cloud data. The initial rough mesh is iteratively refined into a refined mesh.

Abstract: Networks, systems and methods for dynamically filtering market data are disclosed. Streams of market data may be buffered or stored in a queue when inbound rates exceed distribution or publication limitations. Inclusive messages in the queue may be removed, replaced or aggregated, reducing the number of messages to be published when distribution limitations are no longer exceeded.

Abstract: According to one embodiment, the A/D conversion unit includes a ?? modulating device which samples the analog electric quantity provided by the electric power system with a predetermined modulation frequency and outputs a bit stream changing over time of single bit obtained by performing ?? modulation, and the digital operation processing unit includes one or more digital filters which inputs the bit stream from the ?? modulating device and of which frequency characteristics differ according to a type of protection control operation, and one or more operation processing elements which perform different kinds of protection control operation processing, based on the bit stream provided by the digital filter.

Abstract: The invention relates to devices and methods for nanopore sequencing. The invention provides for using the signals from n-mers to provide sequence information, for example where the system has less than single base resolution. The invention includes arrays of nanopores having incorporated electronic circuits, for example, in CMOS. In some cases, the arrays of nanopores comprise resistive openings for isolating the electronic signals for improved sequencing. Methods for controlling translocation of through the nanopore are disclosed.

Abstract: The invention relates to a motion determination apparatus for determining motion of a moving object, wherein the motion determination apparatus (1) comprises a multi-axial accelerometer (2) for being positioned at the moving object (4), wherein the multi-axial accelerometer (2) is adapted to generate accelerometer signals indicative of the acceleration along different spatial axes. The motion determination apparatus further comprises a motion signal generation unit (3) for generating a motion signal indicative of the motion of the object (4) by combining the accelerometer signals of different spatial axes. The combination of the accelerometer signals of different spatial axes yields a motion signal having a large signal-to-noise ratio, even if an axis is located close to a rotational axis of the movement.

Abstract: The present invention relates to compositions and methods for molecular profiling and diagnostics for genetic disorders and cancer, including but not limited to gene expression product markers associated with cancer or genetic disorders. In particular, the present invention provides algorithms and methods of classifying cancer, for example, thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.