Abstract: Parameter calibration method for calibrating multiple parameters corresponding to multiple electronic components to be calibrated in a circuit, including steps: (A) turning off all of the electronic components to be calibrated and selecting a first electronic component from the electronic components to be calibrated as an electronic component being calibrated; (B) turning on the electronic component being calibrated and performing a calibration procedure on the electronic component being calibrated to determine a setting value of a parameter corresponding to the electronic component being calibrated; and (C) selecting a second electronic component from the electronic components to be calibrated as the electronic component being calibrated and performing step (B).

Abstract: A device may detect a semiconductor wafer to be transferred from a source wafer carrier to a target wafer carrier, and may cause a light source to illuminate the semiconductor wafer. The device may cause a camera to capture images of the semiconductor wafer after the light source illuminates the semiconductor wafer, and may perform image recognition of the images of the semiconductor wafer to determine whether an edge of the semiconductor wafer is damaged. The device may cause the semiconductor wafer to be provided to the source wafer carrier when the edge of the semiconductor wafer is determined to be damaged, and may cause the semiconductor wafer to be provided to the target wafer carrier when the edge of the semiconductor wafer is determined to be undamaged.

Abstract: A transistor includes a channel layer, a gate stack, and source/drain regions. The channel layer includes a graphene layer and hexagonal boron nitride (hBN) flakes dispersed in the graphene layer. Orientations of the hBN flakes are substantially aligned. The gate stack is over the channel layer. The source/drain regions are aside the gate stack.

Abstract: A semiconductor structure includes a semiconductor substrate, a plurality of stacked units, a conductive structure, a plurality of dielectrics, a first electrode strip, a second electrode strip, and a plurality of contact structures. The stacked units are stacked up over the semiconductor substrate, and comprises a first passivation layer, a second passivation layer and a channel layer sandwiched between the first passivation layer and the second passivation layer. The conductive structure is disposed on the semiconductor substrate and wrapping around the stacked units. The dielectrics are surrounding the stacked units and separating the stacked units from the conductive structure. The first electrode strip and the second electrode strip are located on two opposing sides of the conductive structure. The contact structures are connecting the channel layer of each of the stacked units to the first electrode strip and the second electrode strip.

Abstract: A portable electronic device to be used as a keyless device of a vehicle includes a controlling circuit which includes a physiological feature detection module and a processing circuit. The physiological feature detection module is used for detecting a physiological feature of a person. The processing circuit is coupled to the physiological feature detection module and used for determining whether the person is an authorized user of the vehicle according to the detected physiological feature of the person, and for opening a car door of the vehicle or starting the vehicle when the person is identified by the processing circuit as the authorized user.

Abstract: A method of data augmentation is provided. The method includes the following operations: selecting an original image from an original dataset including label data configured to indicate a labeled area of the original image; selecting at least part of content, located in the labeled area, of the original image as a first target image; generating a first sample image according to the first target image, in which the first sample image includes the first target image and a first border pattern different from the first target image, and the content, located in the labeled area, of the original image is free from including at least part of the first border pattern; and incorporating the first sample image into a sample dataset, in which the sample dataset is configured to be inputted to a machine learning model.

Abstract: There is provided a human falling detection system including an image sensor, a thermal sensor and a microphone. The image sensor captures an image frame that is used to identify a face and a height-width ratio of a human image. The thermal sensor is used as a filter for filtering out a living body and captures a thermal image that is used to identify a height-width ratio of a human thermal image. The microphone records a time stamp of an abrupt sound appearing.

Abstract: An embodiment is method including forming a first die package over a carrier substrate, the first die package comprising a first die, forming a first redistribution layer over and coupled to the first die, the first redistribution layer including one or more metal layers disposed in one or more dielectric layers, adhering a second die over the redistribution layer, laminating a first dielectric material over the second die and the first redistribution layer, forming first vias through the first dielectric material to the second die and forming second vias through the first dielectric material to the first redistribution layer, and forming a second redistribution layer over the first dielectric material and over and coupled to the first vias and the second vias.

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 includes forming a mask layer above a substrate. The substrate is patterned by using the mask layer as a mask to form a trench in the substrate. An isolation structure is formed in the trench, including feeding first precursors to the substrate. A bias is applied to the substrate after feeding the first precursors. With the bias turned on, second precursors are fed to the substrate. Feeding the first precursors, applying the bias, and feeding the second precursors are repeated.

Abstract: A method for fabricating memory device is provided. The method includes forming a transistor on a substrate. Further, a contact structure is formed on a source/drain region of the transistor. A conductive layer is formed on the contact structure. Four memory structures are formed on the conductive layer to form a quadrilateral structure.

Abstract: A method includes forming a dummy gate structure over a wafer. Gate spacers are formed on either side of the dummy gate structure. The dummy gate structure is removed to form a gate trench between the gate spacers. A gate dielectric layer is formed in the gate trench. A gate electrode is formed over the gate dielectric layer. Forming the gate dielectric layer includes applying a first bias to the wafer. With the first bias turned on, first precursors are fed to the wafer. The first bias is turned off. After turning off the first bias, second precursors are fed to the wafer.

Abstract: A method includes: forming a dielectric fin protruding above a substrate; forming a channel layer over an upper surface of the dielectric fin and along first sidewalls of the dielectric fin, the channel layer including a low dimensional material; forming a gate structure over the channel layer; forming metal source/drain regions on opposing sides of the gate structure; forming a channel enhancement layer over the channel layer; and forming a passivation layer over the gate structure, the metal source/drain regions, and the channel enhancement layer.

Abstract: An object detection method and an associated electronic device are provided, wherein the object detection method includes: utilizing an image processing circuit to determine whether motion occurs in an image to generate a determination result; selectively utilizing a specific bounding box to identify a target object to generate an identification result according to the determination result, wherein the specific bounding box represents a location of the target object in a previous image; and selectively updating information of the specific bounding box according to the identification result.

Abstract: A method includes: forming a dielectric fin protruding above a substrate; forming a channel layer over an upper surface of the dielectric fin and along first sidewalls of the dielectric fin, the channel layer including a low dimensional material; forming a gate structure over the channel layer; forming metal source/drain regions on opposing sides of the gate structure; forming a channel enhancement layer over the channel layer; and forming a passivation layer over the gate structure, the metal source/drain regions, and the channel enhancement layer.

Abstract: The present invention discloses a method for outputting a command by detecting a movement of an object, which includes the following steps. First, an image capturing device captures images generated by the movement of the object at different timings by. Next, a motion trajectory is calculated according to the plurality of images. Further next, a corresponding command is outputted according to the motion trajectory. The present invention also provides a system which employs the above-mentioned method.

Abstract: The present invention provides a processing circuit applied to a face recognition system, which includes a characteristic value calculation module, a determination circuit and a threshold value calculation module.

Abstract: The present invention provides a motion detecting system, which includes a light source module, a plurality of image sensors and a control unit. The light source module illuminates at least one object. The image sensors respectively detect the object under the light emitted by the light source module to generate a plurality of detection results. The control unit is coupled to the image sensors, and generates a control command according to the detection results.

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 time interleaved analog-to-digital converter (TIADC) is provided. The TIADC converts an input signal into a digital output signal and includes N analog-to-digital converters (ADCs), a clock generation circuit, and a control circuit. The N ADCs receive the input signal and sample the input signal according to N sampling clocks to each generate a digital output code, N being an integer greater than or equal to 2. The clock generation circuit is configured to receive a working clock and a set of control values and to generate the N sampling clocks according to the set of control values and the working clock. The control circuit is configured to periodically generate the set of control values based on a pseudo random number and to output the digital output codes in turn as the digital output signal.