Abstract: An atomic layer deposition equipment and an atomic layer deposition process method are disclosed. The atomic layer deposition equipment includes a chamber, a substrate stage, at least one bottom pumping port, at least one hollow component, a baffle and a shower head assembly, wherein the hollow component has an exhaust hole. The baffle is below the hollow component and forms an upper exhaust path with the hollow component, so that the flow field of the precursor in the atomic layer deposition process can be adjusted to a slow flow field to make a uniform deposition on the substrate.

Abstract: The present disclosure provides an apparatus for a lithography process in accordance with some embodiments. The apparatus includes a pellicle membrane, a pellicle frame including a material selected from the group consisting of boron nitride (BN), boron carbide (BC), and a combination thereof, a mask, a first adhesive layer that secures the pellicle membrane to the pellicle frame, and a second adhesive layer that secures the pellicle frame to the mask.

Abstract: A probe head includes a middle die, upper and lower die units, at least one of which includes inner and outer dies detachably fastened to the middle die and each other, and a plurality of buckled probes inserted through the upper and lower die units. The inner die has an outer connecting surface connected with an inner surface of the outer die, where an installation recess is provided, an inner connecting surface connected with the middle die, and a probe installation section having a protruding portion protruding from the outer connecting surface and located in the installation recess, and a recessed portion recessed from the inner connecting surface and located correspondingly to the protruding portion. The protruding portion and the installation recess have a horizontal distance therebetween. Therefore, the outer die is horizontally fine adjustable to make the positions of the probes meet the requirement.

Abstract: A gate structure includes a gate and a first isolation structure having a top surface and a bottom surface. The gate includes a first sidewall adjacent to the first isolation structure, a second sidewall, a first horizontal surface adjacent to a bottom edge of the first sidewall and a bottom edge of the second sidewall, the first horizontal surface being between the top surface of the first isolation structure and the bottom surface of the first isolation structure. The gate also includes a second horizontal surface adjacent to a top edge of the second sidewall. An effective channel width defined by the gate structure includes a height of the second sidewall and a width of the second horizontal surface.

Abstract: A training method and training system for a resolution improvement model and a boundary detection method using the resolution improvement model are provided. The training method for the resolution improvement model includes the following steps. A low-resolution image is inputted. Pixels of the low-resolution image are captured and reorganized to generate a high-resolution image according to convolutional features. The resolution of the high-resolution image is higher than that of the low-resolution image. When capturing the low-resolution image, a condition mask is used to filter off the noise content, as well as sharpen the edge. The high-resolution image is compared with a ground-truth target image to output a discrimination result. The convolutional features are updated according to the discrimination result.

Abstract: An adjusting method and a training system for a machine learning classification model and a user interface are provided. The machine learning classification model is used to identify several categories. The adjusting method includes the following steps. Several identification data are inputted to the machine learning classification model to obtain several confidences of the categories for each of the identification data. A classification confidence distribution for each of the identification data whose highest value of the confidences is not greater than a critical value is recorded. The classification confidence distributions of the identification data are counted. Some of the identification data are collected according to the cumulative counts of the classification confidence distributions. Whether the collected identification data belong to a new category is determined. If the collected identification data belong to a new category, the new category is added.

Abstract: A recognition system and an image augmentation and training method thereof are provided. The image augmentation and training method of a recognition system includes the following steps. A plurality of image frames are obtained, wherein each of the image frames includes an object pattern. A plurality of environmental patterns are obtained. The object pattern is separated from each of the image frames. A plurality of image parameters are set. The image frames, based on the object patterns and the environmental patterns, are augmented according to the image parameters to increase the number of the image frames. A recognition model is trained using the image frames.

Abstract: An image processing method includes: receiving specific data of an image component of input image for a specific color encoding channel wherein the specific data of the image component is formed by the image component's multiple raw values having identical image characteristics; spatially classifying pixel units within the input image into a plurality of blocks according to a specific block size; for each block, obtaining values of the image component of pixel units within each block to calculate the average value of the image component of the each block; generating interpolated values of the image component of an interpolated image according to values of the image component corresponding to the plurality of blocks; and, blending the interpolated values of the image component of the interpolated image with original/raw values of the image component of the input image to generate an output image having modified values of the image component.

Abstract: An object identification method includes: establishing a training data base including a photographing distance of a training image and a training camera parameter; in photographing a target test object, obtaining a test image, a depth image, an RGB image and a test camera parameter; and based on the training database, the depth image and the test camera parameter, adjusting the RGB image wherein the adjusted RGB image having a size equivalent to the training image of the training database.

Abstract: An image recognition method, a training system for an object recognition model and a training method for an object recognition model are provided. The image recognition method includes the following steps. At least one original sample image of an object in a field and an object range information and an object type information in the original sample image are obtained. At least one physical parameter is adjusted to generate plural simulated sample images of the object. The object range information and the object type information of the object in each of the simulated sample images are automatically marked. A machine learning procedure is performed to train an object recognition model. An image recognition procedure is performed on an input image.

Abstract: A sight vector detecting method includes: capturing a user image by an image capture unit and a depth capture unit to obtain a first image and a distance information; based on the first image and the distance information, finding an eye center location of the user; predicting a user sight location by a gaze model to find a target sight location of the user on a target; based on the eye center location of the user, finding a first word coordinate of the eye center location of the user; based on the target sight location of the user, finding a second word coordinate of the target sight location of the user; and based on the first word coordinate of the eye center location of the user and the second word coordinate of the target sight location of the user, calculating a sight vector of the user.

Abstract: An object identification method includes: establishing a training data base including a photographing distance of a training image and a training camera parameter; in photographing a target test object, obtaining a test image, a depth image, an RGB image and a test camera parameter; and based on the training database, the depth image and the test camera parameter, adjusting the RGB image wherein the adjusted RGB image having a size equivalent to the training image of the training database.

Abstract: A sight vector detecting method includes: capturing a user image by an image capture unit and a depth capture unit to obtain a first image and a distance information; based on the first image and the distance information, finding an eye center location of the user; predicting a user sight location by a gaze model to find a target sight location of the user on a target; based on the eye center location of the user, finding a first word coordinate of the eye center location of the user; based on the target sight location of the user, finding a second word coordinate of the target sight location of the user; and based on the first word coordinate of the eye center location of the user and the second word coordinate of the target sight location of the user, calculating a sight vector of the user.

Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.

Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.

Abstract: A solar cell includes a semiconductor substrate, a boron back surface field (BSF) layer, a passivation layer, a back electrode layer and an aluminum local BSF layer. The semiconductor substrate has a front surface and a back surface opposite to each other. The boron BSF layer is disposed in the semiconductor substrate beneath the back surface. The passivation layer is disposed over the boron BSF layer and has an opening through the passivation layer. The back electrode layer is disposed in the opening. The aluminum local BSF layer is disposed in the semiconductor substrate beneath the opening and in contact with the boron BSF layer and the back electrode layer.

Abstract: Methods and systems for media data accessing in an intra network are provided. The intra network is coupled to at least one universal plug-and-play (UPnP) device and a gateway and the UPnP device communicates with the gateway using the UPnP protocol. First, the UPnP device issues a request to the gateway. Then, the gateway performs a data download operation with a device in an external peer-to-peer (P2P) network to obtain a media data therefrom according to the received request.

Abstract: A holding device for a heat sink being attached to a circuit board includes a back plate and a frame member. The back plate provides a plurality of fixing posts with a free end of the respective fixing post having a neck recess piecing the circuit board and each of the fixing posts being surrounded with a spring. The frame member provides a plurality of corners with a support leg vertically extending from the corners respectively and a first flat fixing ear horizontally extending outward from the corners. The first fixing ear has a first elongated hole with a first end part for being pierced by the fixing post and a second end part for fitting with the neck recess. The first elongated hole extends from the first end part to the second end part in a way of allowing the frame member being moved along a direction before the second end part fitting with neck recess.

Abstract: A holding device for a heat sink being attached to a circuit board includes a back plate and a frame member. The back plate provides a plurality of fixing posts with a free end of the respective fixing post having a neck recess piecing the circuit board and each of the fixing posts being surrounded with a spring. The frame member provides a plurality of corners with a support leg vertically extending from the corners respectively and a first flat fixing ear horizontally extending outward from the corners. The first fixing ear has a first elongated hole with a first end part for being pierced by the fixing post and a second end part for fitting with the neck recess. The first elongated hole extends from the first end part to the second end part in a way of allowing the frame member being moved along a direction before the second end part fitting with neck recess.

Abstract: A method for manufacturing a radiating module consisting of a plurality of radiating fins, at least one heat-transfer tube, and a seat includes the steps of forming through holes on the radiating fins, extending the heat-transfer tube through the through holes on the radiating fins, and positioning a seat in an open-bottomed recess formed at a lower surface of the radiating fins to connect to the heat-transfer tube. The seat is made of the same material as the heat-transfer tube, so that heat energy can be quickly transferred from the seat to the heat-transfer tube and radiated from the radiating fins without the need of contacting of the seat with the radiating fins.