Abstract: Embodiments of the present disclosure provide a method for generating an information assessment model, a method for determining the usefulness of comment information, apparatus, electronic device, and computer-readable medium.

Abstract: A finite impulse response (FIR) filter including an input of the FIR filter that receives an RF input signal, a clock input configured to receive a clock signal, an output of the FIR filter that provides a filtered output signal, a plurality of signal paths including a plurality of sample-and-hold circuits and a plurality of multipliers arranged in parallel, each signal path including a respective sample-and-hold circuit and a respective multiplier being configured to receive the RF input signal and the clock signal to provide a modulated output signal, an adder configured to receive n modulated output signals from the plurality of signal paths and combine the n modulated output signals to produce the filtered output signal, and a controller.

Abstract: Methods and systems are described for generating a process-voltage-temperature (PVT)-dependent reference voltage at a reference branch circuit based on a reference current obtained via a band gap generator and a common mode voltage input, generating a PVT-dependent output voltage at an output of a static analog calibration circuit responsive to the common mode voltage input and an adjustable current, adjusting the adjustable current through the static analog calibration circuit according to a control signal generated responsive to comparisons of the PVT-dependent output voltage to the PVT-dependent reference voltage, and configuring a clocked data sampler with a PVT-calibrated current by providing the control signal to the clocked data sampler.

Abstract: An analog to digital converter (ADC) device includes ADC circuits, a calibration circuit and a skew adjusting circuit. The ADC circuits convert an input signal according to clock signals, to generate first quantized outputs. The calibration circuit calibrates the first quantized outputs to generate second quantized outputs. The skew adjusting circuit includes an estimating circuit and a feedback circuit. The estimating circuit analyzes the second quantized outputs to generate detection signals, wherein the detection signals are related to time difference information of the clock signals. The skew adjusting circuit outputs the detection signals as adjustment signals, wherein the adjustment signals are configured to reduce a clock skew of the ADC circuits. The feedback circuit analyzes the detection signals generated by the estimating circuit, to generate a feedback signal to the estimating circuit, wherein the estimating circuit is configured to adjust the detection signals according to the feedback signal.

Abstract: A method performed by a first wireless device served by a first wireless access point in a first wireless communications network, the first wireless communications network being operated by a first network operator, comprises acquiring (202) a determination from a first reinforcement learning agent of whether to roam from the first wireless access point to a second wireless access point in a second wireless communications network, the second wireless communications network being operated by a second network operator. The method further includes roaming (204) from the first wireless access point to the second wireless access point, based on the determination.

Abstract: A method of compressing data is described in which the compressed data is generated by either or both of a primary compression unit or a reserve compression unit in order that a target compression threshold is satisfied. If a compressed data block generated by the primary compression unit satisfies the compression threshold, that block is output. However, if the compressed data block generated by the primary compression unit is too large, such that the compression threshold is not satisfied, a compressed data block generated by the reserve compression unit using a lossy compression technique, is output.

Abstract: An apparatus includes a first digital-to-time converter (DTC) and a second DTC. The first DTC includes a sequence of delay stages. Each of the delay stages adds a delay to an input signal based on a control signal. Each delay stage includes a comparator and a capacitor coupled to an input of the comparator and to ground. The second DTC is coupled in parallel to the first DTC. The second DTC adds a delay to the input signal based on a complement of the control signal.

Abstract: A calibratable switched-capacitor voltage reference and an associated calibration method are described. The voltage reference includes dynamic diode elements providing diode voltages, input capacitor(s) for sampling input voltages, base-emitter capacitor(s) for sampling one diode voltage with respect to a ground, dynamically trimmable capacitor(s) for sampling the one diode voltage with respect to another diode voltage, and an operational amplifier coupled to the capacitors for providing reference voltage(s) based on the sampled input and diode voltages and on trims of the trimmable capacitor(s). The voltage reference can be configured as a first integrator of a modulator stage of a delta-sigma analog-to-digital converter.

Abstract: As described herein, a machine learning system, method, and computer program are provided for making payment related customer predictions using remotely sourced data. A system of a communication service provider (CSP) identifies a customer of the CSP. Additionally, the system collects data from a plurality of data sources independent from the CSP, the data including telephone numbers and/or webpage URLs of other services providers that are associated with making payments. Further, the system processes the collected data to form input data indicating which of the telephone numbers were contacted by the customer and/or webpage URLs were accessed by the customer. Still yet, the system processes the input data using at least one machine learning algorithm to make at least one payment related prediction for the customer. Moreover, the system outputs the at least one payment related prediction made for the customer.

Abstract: A computer-implemented method for providing a radiological opinion includes the steps of: (a) receiving an order for a radiological opinion by means of a web-based application accessible to a user; (b) launching an upload/scan application accessible to the user; (c) scanning a user-selected folder or drive for DICOM images; (d) parsing the DICOM images found in step (c); (e) uploading the DICOM images parsed in step (d); (f) routing the uploaded DICOM images to a picture archiving communication system; (g) generating a radiology order; (h) routing the radiology order to a radiology information system; (i) receiving a radiological opinion; (j) routing the radiological opinion to the user and (k) receiving electronic payment from the user following a successful upload of the radiological opinion, the electronic payment being governed by blockchain technology.

Abstract: A medical care support device includes: an acquisition unit that acquires medical information including medical image data representing a medical image obtained by capturing a lung of a subject, breed information representing a breed of the subject, and age information representing an age of the subject when the medical image is captured; and a derivation unit that derives a degree of calcification of the lung of the subject based on the medical information acquired by the acquisition unit and a learned model learned in advance using a plurality of pieces of learning medical information including medical image data representing a medical image in which a label is assigned to a calcified portion of the lung, the breed information, and the age information.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: Disclosed are a sound source output apparatus applying a plurality of DACs and an operating method thereof. The sound source output apparatus according to the exemplary embodiment of the present disclosure includes a sound source acquiring unit which acquires a sound source signal; a tag identification processing unit which identifies tag information about the sound source signal; a DAC selection control unit which selects a specific DAC among a plurality of digital analog converters (DACs) based on a tag identification result of the tag information or a user input signal; and a sound source output unit which outputs a sound source which is converted by the selected specific DAC.

Abstract: A system and method include acquisition of a plurality of projection images of a subject, each of the projection images associated with a respective projection angle, determination, for each of the projection images, of a center-of-light location in a first image region, determination of a local fluctuation measure based on the determined center-of-light locations, and determination of a quality measure associated with the plurality of projection images based on the local fluctuation measure.

Abstract: Systems and methods are disclosed herein that relate to positioning in a cellular communications system. In some embodiments, a method for determining a three dimensional location of a wireless device in a cellular communications network comprises obtaining a plurality of measurements for a wireless device, where the plurality of measurements are Time Difference of Arrival (TDOA) related measurements. The method further comprises computing a three dimensional position of the wireless device using the plurality of measurements and a vertical surface model, wherein the vertical surface model is a translated and scaled version of an initial vertical surface model. The new vertical surface model provides translation and scaling of the initial vertical surface model to a suitable range before it is used to determine the three dimensional position of the wireless device such that accuracy is improved, e.g., in large rural cells.

Abstract: Disclosed is a method comprising providing a first resource grid as input to a first machine learning algorithm, obtaining a second resource grid as output from the first machine learning algorithm, and transmitting a signal comprising the second resource grid by using orthogonal frequency-division multiplexing modulation.

Abstract: Utilizing a trained generative adversarial network (GAN) model to cause a computer to output multivariate forecasted time-series data by providing a trained GAN model, the GAN model comprising dilated convolutional layers for receiving time-series multivariate data, receiving time-series multivariable biometric data, generating, using the GAN model, successive time series multivariate biometric data according to the time-series multivariate biometric data, determining an outcome according to the successive time-series multivariate biometric data, and providing an output associated with the outcome.

Abstract: Described are apparatus and methods to calibrate and align multiple high-speed clock domains. A system includes at least two clock domains, a launch circuit connected to each of the at least two domains, and a calibration circuit. Each clock domain including a resettable device having a local reset retime clock. The launch circuit aligns a reset pulse with the local reset retime clock by using a launch clock from one of the domains, where the reset pulse is incoherent with respect to the domains, adjusts a delay of the launch clock to control a launch time of the reset pulse, and sends the reset pulse based on the delayed launch clock. The calibration circuit samples a local reset retime delayed clock to generate a readback signal. The launch circuit and the calibration circuit iterate through selected delays until safe arrival timing is indicated from each readout.

Abstract: An successive approximation register analog-to-digital converter is provided. The successive approximation register analog-to-digital converter includes a digital-to-analog converter, a successive approximation register, a comparator, and a threshold voltage determining unit. In this context, the threshold voltage determining unit is configured to dynamically determine the threshold voltage of the comparator on the basis of the input signal of the digital-to-analog converter or the output signal of the comparator.

Abstract: An automated system includes transducers, at least one computing device, and at least one automated apparatus. The transducer(s) is/are driven and sensed using drive-sense circuit(s). A drives and senses drive and sense a transducer via a single line, generates a digital signal representative of a sensed analog feature to which the transducer is exposed, and transmits the digital signal to the computing device. The computing device receives digital signals from at least some of drive-sense circuits and process them in accordance with the automation process to produce an automated process command. The automated apparatus executes a portion of an automated process based on the automated process command.