Abstract: An e-paper identification card system including an e-paper identification card and a data updating apparatus is provided. The e-paper identification card is configured to display first image information. The data updating apparatus is electrically connected to the e-paper identification card. The data updating apparatus is configured to update the e-paper identification card according to the first image information to drive the e-paper identification card to display second image information. In addition, an e-paper identification card is also provided.

Abstract: A deflecting plate includes a silicon-on-insulator (SOI) substrate. The SOI substrate includes: an insulator layer having a top surface and a bottom surface; a device layer coupled to the insulator layer at the top surface, wherein multiple deflecting apertures are disposed in the device layer, each of which extending from a top open end to a bottom open end through the device layer, and wherein the bottom open end is coplanar with the top surface of the insulator layer; and a handle substrate coupled to the insulator layer at the bottom surface, wherein a cavity is disposed in the handle substrate and extends from a cavity open end to a cavity bottom wall, and wherein the bottom wall is coplanar with the top surface of the insulator layer, such that the bottom open end of each deflecting aperture is exposed to the cavity.

Abstract: A structure and a method of forming are provided. The structure includes a first dielectric layer overlying a first substrate. A first connection pad is disposed in a top surface of the first dielectric layer and contacts a first redistribution line. A first dummy pad is disposed in the top surface of the first dielectric layer, the first dummy pad contacting the first redistribution line. A second dielectric layer overlies a second substrate. A second connection pad and a second dummy pad are disposed in the top surface of the second dielectric layer, the second connection pad bonded to the first connection pad, and the first dummy pad positioned in a manner that is offset from the second dummy pad so that the first dummy pad and the second dummy pad do not contact each other.

Abstract: A semiconductor device includes a first region and a second region, and the second region surrounds the first region. The semiconductor device includes at least one electronic unit, a redistribution structure, a plurality of first pads, and a plurality of second pads. The redistribution structure may be electrically connected to at least one electronic unit. A plurality of first pads are arranged on the redistribution structure and correspondingly to the first region. There is a first pitch between two adjacent first pads. A plurality of second pads are arranged on the redistribution structure and correspondingly to the second region. There is a second pitch between two adjacent second pads, so that the first pitch is smaller than the second pitch.

Abstract: A styrene-modified polyethylene-based expandable resin particle is provided, which comprise a polyethylene resin and a polystyrene resin, wherein a content of the polyethylene resin ranges from 5 wt % to 30 wt % and a content of the polystyrene resin ranges from 70 wt % to 95 wt % based on 100 wt % of the polyethylene resin and the polystyrene resin, wherein the expandable resin particle comprises a xylene insoluble matter and an acetone insoluble matter, and a ratio of a content of the xylene insoluble matter to a content of the acetone insoluble matter ranges from 0.01 to 5. In addition, an expanded resin particle and a foamed resin molded article prepared by the aforesaid expandable resin particle are also provided. Furthermore, a method for manufacturing the aforesaid expandable resin particle is also provided.

Abstract: Methods of cutting gate structures and fins, and structures formed thereby, are described. In an embodiment, a substrate includes first and second fins and an isolation region. The first and second fins extend longitudinally parallel, with the isolation region disposed therebetween. A gate structure includes a conformal gate dielectric over the first fin and a gate electrode over the conformal gate dielectric. A first insulating fill structure abuts the gate structure and extends vertically from a level of an upper surface of the gate structure to at least a surface of the isolation region. No portion of the conformal gate dielectric extends vertically between the first insulating fill structure and the gate electrode. A second insulating fill structure abuts the first insulating fill structure and an end sidewall of the second fin. The first insulating fill structure is disposed laterally between the gate structure and the second insulating fill structure.

Abstract: A fabrication method is disclosed that includes: forming a first metal layer over first and second semiconductor structures; forming a first patterned photolithographic layer with an opening that exposes a portion of the first metal layer over the first semiconductor structure but not to a boundary between semiconductor structures; removing the exposed portion of the first metal layer; forming a second metal layer over the first and second semiconductor structures; forming a second patterned photolithographic layer with an opening that exposes a portion of the second metal layer over the second semiconductor structure but not to the boundary; removing the exposed portion of the first and second metal layers; wherein a barrier structure is generated between the first and second semiconductor structures that includes remaining portions of the first metal layer and a portion of the second metal layer overlying the remaining portions of the first metal layer.

Abstract: A method for removing a heavy metal from water includes subjecting a microbial solution containing a liquid culture of a urease-producing bacterial strain and a reaction solution containing a manganese compound and urea to a microbial-induced precipitation reaction, so as to obtain biomineralized manganese carbonate (MnCO3) particles, admixing the biomineralized MnCO3 particles with water containing a heavy metal, so that the biomineralized MnCO3 particles adsorb the heavy metal in the water to form a precipitate, and removing the precipitate from the water.

Abstract: An electronic device including a display device is provided. The display device includes a sharing area, a junction area, and a privacy area. The junction area is positioned between the sharing area and the privacy area. The display device includes a privacy panel. A transmittance of the privacy panel corresponding to the sharing area is greater than a transmittance of the privacy panel corresponding to the junction area, and the transmittance of the privacy panel corresponding to the junction area is greater than a transmittance of the privacy panel corresponding to the privacy area.

Abstract: A mobile device includes a housing, a first radiation element, a second radiation element, a third radiation element, a first switch element, and a second switch element. The first radiation element has a first feeding point. The second radiation element has a second feeding point. The first radiation element, the second radiation element, and the third radiation element are distributed over the housing. The first switch element is closed or open, so as to selectively couple the first radiation element to the third radiation element. The second switch element is closed or open, so as to selectively couple the second radiation element to the third radiation element. An antenna structure is formed by the first radiation element, the second radiation element, and the third radiation element.

Abstract: An e-paper identification card system including an e-paper identification card and a data updating apparatus is provided. The e-paper identification card is configured to display first image information. The data updating apparatus is electrically connected to the e-paper identification card. The data updating apparatus is configured to update the e-paper identification card according to the first image information to drive the e-paper identification card to display second image information. In addition, an e-paper identification card is also provided.

Abstract: A model constructing method for a neural network model applicable for image recognition processing is disclosed. The model constructing method includes the following operation: updating, by a processor, a plurality of connection variables between a plurality of layers of the neural network model, according to a plurality of inputs and a plurality of outputs of the neural network model. The plurality of outputs represent a plurality of image recognition results. The plurality of connection variables represent a plurality of connection intensities between each two of the plurality of layers.

Abstract: An image processing method includes the following steps: dividing an object block into a two-dimensional image; identifying at least one view hotspot in a viewing field corresponding to pupil gaze direction; receiving the view hotspot and an indicator signal; wherein the indicator signal is used to remark the object block; and generating a mask block that corresponds to the object block according to the view hotspot; wherein the indicator signal determines the label of the mask block.

Abstract: A reflective display device includes a thin-film transistor (TFT) array substrate, a front panel laminate (FPL), a front protection sheet, a back protection sheet, a light blocking layer, and a light source. The front panel laminate is located on the TFT array substrate, and has a transparent conductive layer and a display medium layer. The display medium layer is located between the transparent conductive layer and the TFT array substrate. The front protection sheet is located on the front panel laminate. The back protection sheet is located below the TFT array substrate. The light blocking layer at least covers a lateral surface of the back protection sheet. The light source faces toward a lateral surface of the front panel laminate, a lateral surface of the TFT array substrate, and the lateral surface of the back protection sheet.

Abstract: An image segmentation method is providing that includes the steps outlined below. A first image corresponding to a first time spot and a second image corresponding to a second time spot are received from a video stream, wherein the second time spot is behind the first time spot. Segmentation is performed on the second image by a segmentation neural network to generate a label probability set. Similarity determination is performed on the first image and the second image by a similarity calculation neural network to generate a similarity probability set. The label probability set and the similarity probability set are concatenated by a concatenating unit to generate a concatenated result. Further inference is performed on the concatenated result by a strategic neural network to generate a label mask.

Abstract: A scene reconstructing system, scene reconstructing method and non-transitory computer-readable medium are provided in this disclosure. The scene reconstructing system includes a first electronic device and a second electronic device. A first electronic device includes a first camera unit, a first processor, and a first communication unit. The first processor is configured for recognizing at least a first object from a first image to construct a first map. The second electronic device includes a second camera unit, a second processor, and a second communication unit. The second processor is configured for recognizing at least a second object from a second image to construct a second map; calculating a plurality of confidence values corresponding to the second map. The second communication unit is configured for transmitting a location information to the first communication unit according to the plurality of confidence values.

Abstract: A facial expression modeling method used in a facial expression modeling apparatus is provided that includes the steps outlined below. Two two-dimensional images of a facial expression retrieved by two image retrieving modules respectively are received. A deep learning process is performed on the two two-dimensional images to generate a disparity map. The two two-dimensional images and the disparity map are concatenated to generate a three-channel feature map. The three-channel feature map is processed by a weighting calculation neural network to generate a plurality of blend-shape weightings. A three-dimensional facial expression is modeled according to the blend-shape weightings.

Abstract: A reflective display device includes a thin-film transistor (TFT) array substrate, a front panel laminate (FPL), a front protection sheet, a back protection sheet, a light blocking layer, and a light source. The front panel laminate is located on the TFT array substrate, and has a transparent conductive layer and a display medium layer. The display medium layer is located between the transparent conductive layer and the TFT array substrate. The front protection sheet is located on the front panel laminate. The back protection sheet is located below the TFT array substrate. The light blocking layer at least covers a lateral surface of the back protection sheet. The light source faces toward a lateral surface of the front panel laminate, a lateral surface of the TFT array substrate, and the lateral surface of the back protection sheet.

Abstract: An image segmentation method for performing image segmentation through a neural network implemented by an image segmentation apparatus is provided. The image segmentation method includes the steps outlined below. Previous CNN weight data is received by a current convolution neural network unit of the neural network, wherein the previous CNN weight data is generated by a previous convolution neural network unit of the neural network based on a previous image of video data corresponding to a previous time spot. A current image of the video data corresponding to a current time spot next to the previous time spot is received by the current convolution neural network unit. Convolution is performed according to the previous CNN weight data and the current image to generate a current image segmentation result by the current convolution neural network unit.

Abstract: An image processing method includes the following steps: dividing an object block into a two-dimensional image; identifying at least one view hotspot in a viewing field corresponding to pupil gaze direction; receiving the view hotspot and an indicator signal; wherein the indicator signal is used to remark the object block; and generating a mask block that corresponds to the object block according to the view hotspot; wherein the indicator signal determines the label of the mask block.