Abstract: A driving mechanism is provided, which includes a fixed portion, a movable portion, a driving assembly, and a control assembly. The movable portion is movable relative to the fixed portion. The driving assembly is used for driving the movable portion to move. The control assembly is used for providing control signal to the driving assembly.

Abstract: A blockchain-based member tracking system, communicatively connected to multiple web servers and multiple user devices, comprises an advertising database, multiple advertising modules, a primary member database, and a blockchain module. The advertising modules are configured to run on the web servers and are configured for displaying the advertising data. When the user device connects to the web server, the blockchain module generates a set of the preference tags and a set of the point data, and associates them with the corresponding member data of the user device. When the user device connects to the web server, the advertising module selects the advertising data based on the corresponding member data and the preference tags. The preference tags are a form of non-fungible token data.

Abstract: A method for image compression and a circuit system thereof are provided. In the method, pixel values of an image are obtained. A compression scenario is decided, for example, a uniform-quantization manner or a non-uniform-quantization manner is used for an M-bit image being compressed to an N-bit image so as to decide codeword sections for the image. Every codeword section has a codeword distance. The codeword sections have a fixed codeword distance in the uniform-quantization manner. Alternatively, in the non-uniform-quantization manner, the image can be divided into multiple codeword sections having different codeword distances according to a brightness distribution. Afterwards, a random number is generated for deciding codeword and index for original value of each of the pixels. An index table is accordingly formed. The index table is provided for obtaining the codeword in a decoding process by querying a codebook with the index.

Abstract: The present invention provides a compression method, wherein the compression method includes the steps of: setting a quantization function; setting a plurality of scaling ratios; receiving image data; for a block of a frame of the image data, using a conversion matrix to convert data of the block to generate a plurality of converted data; determining a specific scaling ratio from the plurality of scaling ratios according to the plurality of converted data; and using the quantization function to perform a quantization operation on a plurality of adjusted data to generate compressed data, wherein the plurality of adjusted data are generated according to the plurality of converted data and the specific scaling ratio.

Abstract: Disclosed are a dynamic antenna group and a terminal device including the same. The dynamic antenna group may be applied to a terminal device, and include: at least two antenna radiators; and a coupling radiator, coupled with the at least two antenna radiators, a tuning component is arranged between the coupling radiator and an electrical ground.

Abstract: A pressure-sensitive vibration processing method can be applied to a mobile terminal including an application processor, a pressure sensor, and a vibration motor. The method can include: in a first state of the mobile terminal, notifying directly, with the pressure sensor, the vibration motor to generate vibration, when pressure received by the pressure sensor exceeds a threshold, the first state including a state where the application processor is in sleep; and in a second state of the mobile terminal, notifying, with the pressure sensor, the application processor to control the vibration motor to generate vibration, when pressure received by the pressure sensor exceeds the threshold, the second state including a state where the application processor is awake. A timely response is therefore ensured when vibration is needed, and it can also be ensured that various vibrations are handled normally during system operation to avoid abnormal vibration feedback.

Abstract: A pixel value calibration method includes: obtaining input image data generated by pixels, the input image data including a first group of pixel values in a first color plane and a second group of pixel values in a second color plane, generated by a first portion and a second portion of the pixels respectively; determining a difference function associated with filter response values and target values, the filter response values being generated by utilizing characteristic filter coefficients to filter first and second estimated pixel values of estimated pixel data in the first and second color planes, respectively; determining a set of calibration filter coefficients by calculating a solution of the estimated pixel data, the solution resulting in a minimum value of the difference function; and filtering the input image data, by a filter circuit using the set of calibration filter coefficients, to calibrate the first group of pixel values.

Abstract: A method for image compression and a circuit system thereof are provided. In the method, pixel values of an image are obtained. A compression scenario is decided, for example, a uniform-quantization manner or a non-uniform-quantization manner is used for an M-bit image being compressed to an N-bit image so as to decide codeword sections for the image. Every codeword section has a codeword distance. The codeword sections have a fixed codeword distance in the uniform-quantization manner. Alternatively, in the non-uniform-quantization manner, the image can be divided into multiple codeword sections having different codeword distances according to a brightness distribution. Afterwards, a random number is generated for deciding codeword and index for original value of each of the pixels. An index table is accordingly formed. The index table is provided for obtaining the codeword in a decoding process by querying a codebook with the index.

Abstract: A keyword generation and verification system can extract a plurality of keyword data from a webpage data, which provided by website manager. The system will perform the first analysis to select available keyword data via keyword analysis system. These keyword data will be displayed on a search engine, which is embedded in an external website for consumer to click. The browse track of the consumer will be tracked to perform the second analysis availability of the keyword data after the keyword data is clicked by the consumer.

Abstract: A keyword generation and verification system can extract a plurality of keyword data from a webpage data, which provided by website manager. The system will perform the first analysis to select available keyword data via keyword analysis system. These keyword data will be displayed on a search engine, which is embedded in an external website for consumer to click. The browse track of the consumer will be tracked to perform the second analysis availability of the keyword data after the keyword data is clicked by the consumer.

Abstract: Disclosed is an image processing method based on sensor characteristics. The method includes the following steps: obtaining a constant of a relation “c??(x)/?{square root over (x)}” between output signals “x” and the noise standard deviation “?(x)” of the output signals, in which the output signals are outputted by a sensor based on a sensor gain such as an ISO value of a camera; and calculating an output value of a target pixel according to pixel values within a sampling window, the constant, and a front-end gain such as an auto exposure gain, in which the pixel values include an input value of the target pixel.

Abstract: A method of collecting fingerprints is provided in the present disclosure. In an example, the method includes: before fingerprints are collected, a pressure value for a touch operation on a fingerprint detecting region is compared with a preset pressure threshold; when the pressure value is greater than or equal to the preset pressure threshold, the fingerprints are collected; and when the pressure value is less than the preset pressure threshold, pressure prompt information is output to prompt the user to increase a pressing pressure on the fingerprint detecting region.

Abstract: A method and a system for pixel channel imbalance compensation for an image sensing circuit are provided. The system includes an image acquisition circuit having a lens, a color filter and an image sensor and a processing circuit. In the method performed by the processing circuit, a second frame image is retrieved from a motion image, and a first frame image that has undergone noise reduction can be retrieved from a memory. Motion detection is performed between the frames by comparing the first frame image and the second frame image. The motion detection is referred to as a reference for determining how to perform 3D noise reduction. A compensation value for channel imbalance between the adjacent channels can be estimated based on the image under noise reduction in a same buffer. While the pixel channel imbalance is compensated, the image is then restored by an interpolation method.

Abstract: A method for determining a point report position of a touch point includes: predicting whether an action between an Nth frame and an (N+1)th frame of a touch signal is a jitter or slide of a touch object during stay, according to position change information of a touch point in at least two frames before the (N+1)th frame of the touch signal; determining a position of the touch point at the Nth frame as the point report position of the touch point at the (N+1)th frame, if the action is the jitter; and determining the position of the touch point at the (N+1)th frame or a position close to the position of the touch point at the (N+1)th frame as the point report position of the touch point at the (N+1)th frame, if the action is the slide.

Abstract: A pressure-sensitive vibration processing method can be applied to a mobile terminal including an application processor, a pressure sensor, and a vibration motor. The method can include: in a first state of the mobile terminal, notifying directly, with the pressure sensor, the vibration motor to generate vibration, when pressure received by the pressure sensor exceeds a threshold, the first state including a state where the application processor is in sleep; and in a second state of the mobile terminal, notifying, with the pressure sensor, the application processor to control the vibration motor to generate vibration, when pressure received by the pressure sensor exceeds the threshold, the second state including a state where the application processor is awake. A timely response is therefore ensured when vibration is needed, and it can also be ensured that various vibrations are handled normally during system operation to avoid abnormal vibration feedback.

Abstract: A method of determining a fingerprint collection region includes: determining a contact region according to a touch signal generated by a touch operation from a starting moment t0 of sensing the touch operation; determining a change rate of a feature parameter of the contact region; and determining the fingerprint collection region according to the contact region when the change rate is smaller than or equal to a preset change rate.

Abstract: A pixel value calibration method includes: obtaining input image data generated by pixels, the input image data including a first group of pixel values in a first color plane and a second group of pixel values in a second color plane, generated by a first portion and a second portion of the pixels respectively; determining a difference function associated with filter response values and target values, the filter response values being generated by utilizing characteristic filter coefficients to filter first and second estimated pixel values of estimated pixel data in the first and second color planes, respectively; determining a set of calibration filter coefficients by calculating a solution of the estimated pixel data, the solution resulting in a minimum value of the difference function; and filtering the input image data, by a filter circuit using the set of calibration filter coefficients, to calibrate the first group of pixel values.

Abstract: A denoising method based on a signal-to-noise ratio (SNR), which includes: obtaining a current input coefficient; obtaining a current noise standard deviation by querying a first relationship table; querying a second relationship table according to the current noise standard deviation and the current input coefficient to obtain a current slope corresponding to the current input coefficient; generating a current output coefficient by multiplying the current input coefficient and a compression magnification function; and calculating the current output coefficient by substituting the current noise standard deviation, the current input coefficient, and the current slope.

Abstract: Disclosed is an image processing method based on sensor characteristics. The method includes the following steps: obtaining a constant of a relation “c??(x)/?{square root over (x)}” between output signals “x” and the noise standard deviation “?(x)” of the output signals, in which the output signals are outputted by a sensor based on a sensor gain such as an ISO value of a camera; and calculating an output value of a target pixel according to pixel values within a sampling window, the constant, and a front-end gain such as an auto exposure gain, in which the pixel values include an input value of the target pixel.

Abstract: The disclosure relates to a method, electronic device, and non-transitory computer-readable medium for collecting fingerprints. The method includes detecting a touch operation on a fingerprint region; when the touch operation on the fingerprint region is detected, detecting a touch signal within the fingerprint region as a first touch signal; comparing the first touch signal with a preset report threshold to obtain a first comparison result; determining whether a fingerprint image on the fingerprint region is acquired based on the first comparison result; when the fingerprint image is acquired, analyzing the fingerprint image to obtain an analysis result; and outputting a prompt based on the analysis result.