Abstract: A data processing method for the machine learning and an electronic device using the same are provided. The data processing method for the machine learning includes the following steps. For a plurality of sources, a source balancing procedure is performed on an original measuring data to obtain a balanced distribution map. For each of the subjects, a personalization scaling procedure is performed on a plurality of detection values to obtain a personalized scaled measuring data. For each of the sources, a source scaling procedure is performed on the detection values to obtain a by-source scaled measuring data. The balanced distribution map, the personalized scaled measuring data and the by-source scaled measuring data are combined to obtain a balanced personalized scaled data and a balanced by-source scaled data. Based on the balanced personalized scaled data and the balanced by-source scaled data, some of the detection items are outputted.

Abstract: An image sensor circuit, an image sensor chip, and a camera device are used in the field of sensor technologies, to resolve a problem that an automatic conversion gain determining mechanism in an existing image sensor easily causes crosstalk to a voltage on a column bus coupled to a pixel unit. In the image sensor circuit, a conversion gain selection circuit is disposed between each column bus of a double conversion gain pixel array and a corresponding analog-to-digital converter. After a floating diffusion node in a pixel unit is reset, the conversion gain selection circuit separately receives voltages output by the pixel unit in a high conversion gain mode and a low conversion gain mode.

Abstract: Provided is a method for extending peptide linkers between peptides, including the following steps. All combinations of the peptide linkers of a length of n are listed, and a combination of a best peptide linker is generated. After that, a first condition and a second condition are considered to extend the peptide linkers. The first condition is that a cutting point of the peptide linkers is in the middle, and a center of extending the peptide linkers is selected from amino acids of a cutting point of the best peptide linker. The second condition is that amino acids of a N-terminal and amino acids of a C-terminal of the peptide linkers are searched, and the amino acids of the N-terminal and the amino acids of the C-terminal have a higher probability of being cut off.

Abstract: The present invention provides a power amplifier system configured to receive an input audio signal to generate an output audio signal is disclosed. The power amplifier system includes a reference signal generator, a dynamic headroom generator and a DC-DC converter. The reference signal generator is configured to generate a reference signal according to the input signal. The dynamic headroom generator is configured to generate an output reference signal according to the reference signal and a change rate of a signal, wherein the signal is the reference signal, the input audio signal, or correlated with the reference signal or the input audio signal. The DC-DC converter is configured to generate a supply voltage to a power amplifier, wherein a voltage level of the supply voltage is determined according to the output reference signal, and the power amplifier is configured to generate the output audio signal according to the input audio signal.

Abstract: A high-voltage device includes: a diode; a junction field-effect transistor (JFET) adjoining the diode and electrically coupled to the diode; a high-voltage junction termination (HVJT) element electrically connected with the diode and the junction field-effect transistor, wherein the high-voltage junction termination element is a ring shape from top view, and a high-side region and a low-side region are respectively defined inside the ring shape and outside the ring shape; and a first deep well region encircling the high-side region. The first deep well region includes: a first segment disposed in the high-voltage junction termination element; and a second segment disposed in the junction field-effect transistor. The first segment includes a well region and a doped region in the well region. The second segment includes only the well region.

Abstract: A calibration apparatus includes a calibration circuit and a singularity detection (SD) circuit. The calibration circuit performs a calibration process upon a time-interleaved analog-to-digital converter (TI-ADC) with a plurality of TI channels, wherein the calibration process includes detecting and correcting mismatch between different TI channels of the TI-ADC. The SD circuit sets an SD flag by evaluating variation of statistical characteristics of an ADC input signal between different TI channels of the TI-ADC, and outputs the SD flag to the calibration circuit, wherein the calibration circuit controls the calibration process according to the SD flag.

Abstract: A first light beam can be collected by using an optical module. A second light beam can be obtained based on the first light beam. An image sensor can perform photoelectric conversion on the infrared light beam that is in the second light beam and that is irradiated to the first channel to obtain a first electrical signal. Photoelectric conversion can be performed on the visible light beam that is in the second light beam and that is irradiated to the second channel to obtain a second electrical signal. An initial image can be generated based on the first electrical signal and the second electrical signal. A color image and a grayscale image can be sent to an image processor. The image processor can receive the color image and the grayscale image. Fusion processing can be performed on the color image and the grayscale image to obtain a fused image.

Abstract: An alarm system an alarm method for a medical emergency are provided. The alarm method includes: obtaining a physiological signal of a user by a sensor of a portable electronic device; receiving the physiological signal from the portable electronic device, determining whether an abnormal event has occurred according to the physiological signal, and transmitting first feedback information corresponding to the physiological signal to a server in response to the abnormal event by the terminal device; and outputting an alarm message according to the first feedback information by the server.

Abstract: A method for analyzing an electrocardiography (ECG) signal is provided. The ECG signal is measured through a sensor. One or more specified waveforms in the ECG signal are detected. Multiple ECG features from each specified waveform are captured. The ECG features are input into multiple candidate models to obtain multiple candidate scores. Each candidate score is compared with a standard value to obtain an ideal score among the candidate scores. One of the candidate models corresponding to the ideal score is selected as a risk prediction model to predict disease risk through the risk prediction model.

Abstract: A device and method for generating article markup information are provided. The method for generating article markup information includes the following. Segmentation processing is performed on an article to generate a segmentation result. Name entity recognition is performed on the segmentation result to generate a first recognition result. Whether the segmentation result includes any word in an expansion list is determined. Expanded entity classification conversion is performed on the first recognition result to generate a second recognition result. The second recognition result and the segmentation result are used as markup information.

Abstract: A device and method for generating article markup information are provided. The method for generating article markup information includes the following. Segmentation processing is performed on an article to generate a segmentation result. Name entity recognition is performed on the segmentation result to generate a first recognition result. Whether the segmentation result includes any word in an expansion list is determined. Expanded entity classification conversion is performed on the first recognition result to generate a second recognition result. The second recognition result and the segmentation result are used as markup information.

Abstract: A method for detecting cardiac arrhythmia based on a photoplethysmographic (PPG) signal is provided. The method includes: receiving a PPG signal and a motion signal corresponding to a motion made by a user; extracting PPG signal segments and motion signal segments corresponding to a time period from the PPG signal and the motion signal, respectively, at every time period; filtering out motion artifact noise in the PPG signal segments according to the PPG signal segments and the motion signal segments, and converting the PPG signal segments and the motion signal segments into PPG spectrum diagrams and motion spectrum diagrams, respectively; obtaining an estimated heart rate according to the PPG spectrum diagrams and the motion spectrum diagrams; and determining whether cardiac arrhythmia is present based on the filtered PPG signal segments and the estimated heart rate.

Abstract: A first light beam can be collected by using an optical module. A second light beam can be obtained based on the first light beam. An image sensor can perform photoelectric conversion on the infrared light beam that is in the second light beam and that is irradiated to the first channel to obtain a first electrical signal. Photoelectric conversion can be performed on the visible light beam that is in the second light beam and that is irradiated to the second channel to obtain a second electrical signal. An initial image can be generated based on the first electrical signal and the second electrical signal. A color image and a grayscale image can be sent to an image processor. The image processor can receive the color image and the grayscale image. Fusion processing can be performed on the color image and the grayscale image to obtain a fused image.

Abstract: The disclosure provides a method and a polar code decoder for determining a to-be-flipped bit position when performing a successive cancellation list flip operation. The method includes: obtaining a polar code decoding tree generated by performing a successive cancellation list (SCL) operation on a polar code segment, and the polar code segment includes multiple bit positions, and each bit position in the polar code decoding tree includes multiple surviving paths and multiple pruned paths; in a post-processing stage for the SCL operation, estimating a correct path probability of each of the surviving paths and the pruned paths of the i-th bit position and accordingly estimating a reliability for the i-th bit position; selecting a specific bit position among the bit positions based on the reliability of each bit position; and performing an SCL flip operation on the polar code decoding tree based on the specific bit position.

Abstract: A polar code decoding apparatus and an operation method thereof are provided. The polar code decoding apparatus includes a path expanding circuit and a node processing circuit. The path expanding circuit expands each of multiple previous paths corresponding to multiple previous decoding results into multiple candidate paths according to a current node. The path expanding circuit dynamically determines a path expanding number of the candidate paths of each of the previous paths according to an unreliable information bit number of the current node. The node processing circuit performs a path competition operation to select some paths from the candidate paths to serve as multiple current paths corresponding to multiple current decoding results.

Abstract: The present invention provides a detection device and a method with simplified computing manner A transmitter transmits detection signals to an environment to detect a target. At least a portion of the detection signals are reflected by the target to generate a plurality of reflection signals. A receiver comprises a plurality of receiving units. Each of the receiving units receives the reflection signals to generate a receiving signal. A processing module connected to the receiver includes a conversion unit, an integration unit and a computing unit. The conversion unit converts the receiving signals into transformation signals by a time-domain to frequency-domain transformation. The integration unit integrates the transformation signals into a first integration signal and a second integration signal. The computing unit decomposes the first integration signal and the second integration signal to 1D arrays.

Abstract: The disclosure provides a method and a polar code decoder for determining a to-be-flipped bit position when performing a successive cancellation list flip operation. The method includes: obtaining a polar code decoding tree generated by performing a successive cancellation list (SCL) operation on a polar code segment, and the polar code segment includes multiple bit positions, and each bit position in the polar code decoding tree includes multiple surviving paths and multiple pruned paths; in a post-processing stage for the SCL operation, estimating a correct path probability of each of the surviving paths and the pruned paths of the i-th bit position and accordingly estimating a reliability for the i-th bit position; selecting a specific bit position among the bit positions based on the reliability of each bit position; and performing an SCL flip operation on the polar code decoding tree based on the specific bit position.

Abstract: A signal processing method is provided. First, at least one transmitted signal is output to at least one target, and the target reflects at least one reflected signal to receiving antennas, which then generate receiving signals upon receipt of the reflected signal. Next, the transmitted signal and each receiving signal are processed to generate processing signals. The processing signals are arranged in a form of matrix, to generate a channel coefficient matrix having M×N channel coefficient matrix blocks. Next, the channel coefficient matrix is divided into Ndivide×Mdivide secondary channel coefficient matrices, which are then substituted into a snapshot vector matrix equation to generate a snapshot vector matrix for calculating an angle of the target. The signal processing method can establish an optimal secondary channel coefficient matrix arrangement by using a special signal preprocessing manner, to improve the resolution and accuracy of the estimated angle parameter of the target.

Abstract: A method for analyzing an electrocardiography (ECG) signal is provided. The ECG signal is measured through a sensor. One or more specified waveforms in the ECG signal are detected. Multiple ECG features from each specified waveform are captured. The ECG features are input into multiple candidate models to obtain multiple candidate scores. Each candidate score is compared with a standard value to obtain an ideal score among the candidate scores. One of the candidate models corresponding to the ideal score is selected as a risk prediction model to predict disease risk through the risk prediction model.

Abstract: The present invention provides a detection device and a method with simplified computing manner A transmitter transmits detection signals to an environment to detect a target. At least a portion of the detection signals are reflected by the target to generate a plurality of reflection signals. A receiver comprises a plurality of receiving units. Each of the receiving units receives the reflection signals to generate a receiving signal. A processing module connected to the receiver includes a conversion unit, an integration unit and a computing unit. The conversion unit converts the receiving signals into transformation signals by a time-domain to frequency-domain transformation. The integration unit integrates the transformation signals into a first integration signal and a second integration signal. The computing unit decomposes the first integration signal and the second integration signal to 1D arrays.