Abstract: A system that generates a layout diagram has a processor that implements a method, the method including: generating first and second conductor shapes; generating first, second and third cap shapes correspondingly over the first and second conductor shapes; arranging a corresponding one of the second conductor shapes to be interspersed between each pair of neighboring ones of the first conductor shapes; generating first cut patterns over selected portions of corresponding ones of the first cap shapes; and generating second cut patterns over selected portions of corresponding ones of the second cap shapes. In some circumstances, the first cut patterns are designated as selective for a first etch sensitivity corresponding to the first cap shapes; and the second cut patterns are designated as selective for a second etch sensitivity corresponding to the second cap shapes.

Abstract: The present disclosure relates to a semiconductor device and a manufacturing method, and more particularly to forming via rail and deep via structures to reduce parasitic capacitances in standard cell structures. Via rail structures are formed in a level different from the conductive lines. The via rail structure can reduce the number of conductive lines and provide larger separations between conductive lines that are on the same interconnect level and thus reduce parasitic capacitance between conductive lines.

Abstract: A high-speed automatic scanning system for interpreting images with AI assistance and method using the same are provided. The system includes a control computer and an image capture platform. Scanning parameters of the image capture platform, including a helically-clockwise or helically-counterclockwise scanning path, is set by the control computer. After the scanning path is selected, the image capture platform aligns a camera to focus on a central block and respectively captures images of the central block's sub-blocks. Until all the blocks have been scanned, the image capture platform repeats the following procedure: moving the focusing position to a next neighboring block according to the scanning path, focusing on the next neighboring block, and capturing images of the sub-blocks of the next neighboring block. The present invention can fast perform scanning, exempted from performing focusing for every image, reducing the cycles and time of focusing.

Abstract: An AI-assisted automatic labeling system and a method thereof are disclosed. The method comprises steps: selecting images from microscopic images as candidate images, using a pre-labeling module to automatically label cells in the candidate images, and dividing the labeled images into training data and verification data; using a training module and the training data to train a basic model; using a verification module to verify and modify the basic model, wherein the verification module respectively verifies at least one cell area and at least one background area of the verification data to converge the basic model and form an automatic labeling model; using the automatic labeling model to automatically label cells in redundant images of the microscopic images. The basic model trained by the present invention can use few labeled images to perform regressive training and verification and then automatically labels the redundant images accurately and efficiently.

Abstract: Compositions, methods, systems, etc., are provided for modified and/or purified fucans and corresponding fucan-containing compositions that inhibit fibrous adhesions among other advantages. The purified/modified fucans and fucan compositions have a reduced level of non-fucan components or impurities such as those found in a starting fucan composition. Such reduced undesirable components or impurities include, for example, undesired components bound to the fucan and compounds in the composition that are not a part of or bound to the fucan.

Abstract: A pet breeding tool includes a roller, an optical sensor and an operation processor. The roller is adapted to rotate relative to an axle direction. The optical sensor is adapted to emit a detection beam toward the roller and receive a reflection beam from the roller. The operation processor is electrically connected to the optical sensor. The operation processor is adapted to analyze the reflection beam for acquiring rotation data of the roller, and further transform random variation of the rotation data into behavior of the roller for immediately adjusting output information relevant to the foresaid behavior.

Abstract: Examples of an integrated circuit a having an advanced two-dimensional (2D) metal connection with metal cut and methods of fabricating the same are provided. An example method for fabricating a conductive interconnection layer of an integrated circuit may include: patterning a conductive connector portion on the conductive interconnection layer of the integrated circuit using extreme ultraviolet (EUV) lithography, wherein the conductive connector portion is patterned to extend across multiple semiconductor structures in a different layer of the integrated circuit; and cutting the conductive connector portion into a plurality of conductive connector sections, wherein the conductive connector portion is cut by removing conductive material from the metal connector portion at one or more locations between the semiconductor structures.

Abstract: Compositions, methods, systems, etc., are provided for modified and/or purified fucans and corresponding fucan-containing compositions that inhibit fibrous adhesions among other advantages. The purified/modified fucans and fucan compositions have a reduced level of non-fucan components or impurities such as those found in a starting fucan composition. Such reduced undesirable components or impurities include, for example, undesired components bound to the fucan and compounds in the composition that are not a part of or bound to the fucan.

Abstract: A method for inverting aerosol components using a LiDAR ratio and a depolarization ratio, includes: S1. identifying sand dust, a spherical aerosol and a mixture of the sand dust and the spherical aerosol based on a depolarization ratio; S2. calculating a proportion of the sand dust in the mixture of the sand dust and the spherical aerosol; and S3. identifying soot and a water-soluble aerosol in the spherical aerosol based on a LiDAR ratio. In the present disclosure, only a wavelength with a polarization channel is needed, to identify the aerosol components, achieving high accuracy with low detection costs.

Abstract: In an embodiment, an apparatus includes an energy source, a support platform for holding a wafer, an optical path extending from the energy source to the support platform, and a photomask aligned such that a patterned major surface of the photomask is parallel to the force of gravity, where the optical path passes through the photomask, where the patterned major surface of the photomask is perpendicular to a topmost surface of the support platform.

Abstract: A method of manufacturing a semiconductor device, including: forming a plurality of gate strips, each gate strip is a gate terminal of a transistor; forming a plurality of first contact vias connected to a part of the gate strips; forming a plurality of first metal strips above the plurality of gate strips; connecting one of the first metal strips to one of the first contact vias; forming a plurality of second metal strips above the plurality of first metal strips, wherein the plurality of second metal strips are co-planar, each second metal strip and one of the first metal strips are crisscrossed from top view; a length between two adjacent gate strips is twice as a length between two adjacent second metal strips, and a length of said one of the first metal strips is smaller than two and a half times as the length between two adjacent gate strips.

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: An image capturing device with a sensor, a memory, and a processor is provided. The sensor captures an image of at least one target. The memory stores a plurality of instructions. The processor obtains the plurality of instructions to perform the following steps: controlling the sensor to capture a reference image and a processed image; capturing a first bright region and a dark region from the reference image, and capturing a second bright region from the processed image; performing calculations on a first brightness value of the first bright region and a second brightness value of the second bright region respectively with at least two first brightness thresholds, to obtain a first low exposure compensation value and a second low exposure compensation value; and obtaining a high exposure compensation value according to comparisons between a third brightness value of the dark region and at least two second brightness thresholds.

Abstract: An optical processing apparatus and a light source luminance adjustment method adapted to detect a rotational displacement and a pressing state are provided. The optical processing apparatus includes a light source unit, a processing unit, and an image sensing unit, wherein the processing unit is electrically connected to the light source unit and the image sensing unit. The light source unit provides a beam of light. The processing unit defines a frame rate, defines a plurality of time instants within a time interval, and sets the light source unit to a luminance value at each of the time instants. A length of the time interval is shorter than the reciprocal of the frame rate. The luminance values are different and are within a range. The image sensing unit captures an image by an exposure time length at each of the time instants, wherein the exposure time lengths are the same.

Abstract: Network device, system, method and computer readable medium for video content processing.

Abstract: The present invention relates to the technical field of an automatic detection trigger device, and discloses an automatic detection trigger device for a quantitative compressed administration aerosol. The automatic detection trigger device for the quantitative compressed administration aerosol includes a main machine body, wherein the main machine body consists of a main machine front cover, a main machine rear cover, a battery module and a driving assembly; the driving assembly includes a driving control module and a driving gear module; a charging port is formed at an outer side of the main machine front cover; a limiting pedestal is clamped at a bottom end of the main machine front cover; and an aerosol medicine is fixedly mounted at the bottom of an inner cavity of the main machine front cover.