Abstract:
A method for finding the correlation between tool PM (prevention maintenance) and the product yield of the tool is disclosed. The method uses a moving average method to magnify a curve trend that is formed by the product yield data that is captured during a predetermined days before PM and after PM. The magnified curve trend is shown by a Cumulative sum chart. The Cumulative sum chart is analyzed for informing related workers of the effect between the tool PM and the product yield, so as to accurately estimate PM timing. Thereby, via the method, the effect between the tool PM and the product yield may be determined, which serves as an important reference for workers to execute further PM.
Abstract:
A light-receiving diode comprises: a bearing frame on which a light-receiving chip, a SMD capacitor, and a transimpedance amplifier are mounted; a plurality of pins, wherein the bearing frame is coupled to one of the pins and the light-receiving chip is connected to the other pins via a plurality of conducting lines; and an encapsulated resin for packaging the above-mentioned components and upper ends of the pins. As a result, the production cost can be reduced effectively.
Abstract:
A structure of laser is disclosed. The laser structure comprises: a plurality of pins, one of which having a large area connection part on the top, wherein the connection part has two outwardly extending plates on both sides; a photo diode and a laser diode mounted on the connection part for being connected to the other pins by conducting wires; and a housing covered the top of the pins, wherein the outwardly extending plates are extended outside of the housing to form two conducting terminals on the upper end of the laser structure such that the user is provided with convenience and enabled to make more applicable variations.
Abstract:
A structure of laser and manufacture methods thereof are disclosed. The method comprises the steps of: 1. coupling a plurality of photo diodes with first pins of a plurality of pin groups on a frame; 2. mounting a plurality of laser diodes on the photo diodes; 3. bonding the laser diodes and the photo diodes to the second and third pins of the pin groups by conducting wires; 4. spreading a plurality of adhesive layers on the photo diodes to form a plurality of convex lenses for collecting the laser light; 5. covering the pin groups on which the bonding and spreading steps are performed with a plurality of casings, each having an opening, a notch, and a mounting chamber; and 6. cutting off connected portions of the pins to obtain a plurality of lasers. Consequently, this manufacture method is suitable for mass production to obtain numerous lasers. Besides, the manufacture method of the present invention can significantly reduce the production cost and increase the value of monitor current (Im).
Abstract:
A method of rendering a 2-D graphic object having a plurality of pixels to a 3-D graphic object is disclosed. At first, a directional relation corresponding to the pixels is determined to define relations between the pixels and edges of the 2-D graphic object. Then, z-axis parameters corresponding to the pixels are generated in response to the directional relation with an effect function, wherein the effect function renders the z-axis parameters responsive to a relation limit varied with directions of the directinoal relation or a mapping table defining offset values of the z-axis parameters, or both. Finally, the 3-D graphic object is rendered in response to the 2-D graphic object and the z-axis parameters.
Abstract:
Display methods and interfaces for high dynamic range images. High dynamic range images and corresponding histograms are displayed on a display device. The histogram panel displays low dynamic range and high dynamic range data of the images simultaneously. The low dynamic range and high dynamic range data is brightness level of the image pixels.
Abstract:
A method for predicting cycle time comprises the steps of: collecting a plurality of known sets of data; using a clustering method to classify the known sets of data into a plurality of clusters; using a decision tree method to build a classification rule of the clusters; building a prediction model of each cluster; preparing data predicted set of data; using the classification rule to determine that to which clusters the predicted set of data belongs; and using the prediction model of the cluster to estimate the objective cycle time of the predicted set of data. Therefore, engineers can beforehand know the cycle time that one lot of wafers spend in the forward fabrication process, which helps engineers to properly arrange the following fabrication process of the lot of wafer.
Abstract:
An image composition system. The image composition system comprises an image detection unit and an image composition unit. The image detection unit detects marked parts in low dynamic range images. The low dynamic range images are images of the same scene taken at different exposure levels. The image composition unit sets exposure history data of the low dynamic range images according to the marked parts. The image composition unit then synthesizes the low dynamic range images into a high dynamic range image according to the exposure history data.
Abstract:
The present invention is to provide an image processing apparatus using the difference among scaled images as a layered image and a method thereof, which utilize the Gaussian and Laplacian pyramid theory to convert an original image into a plurality of scaled images of different scales, and the difference among scaled images of two adjacent different scales as a layered image of the corresponding layer, so that the edge and line characteristics of a scene of the original image for each layered image can be displayed in different levels sequentially from a clear level to a vague level, and provide a layered image display interface and an image characteristic editing interface for users to examine each layered image through the layered image display interface and edit or perform special effect to each layered image, so as to simulate different visual effects based on different vision models.
Abstract:
An image composition system. The image composition system comprises an image detection unit and an image composition unit. The image detection unit detects marked parts in low dynamic range images. The low dynamic range images are images of the same scene taken at different exposure levels. The image composition unit sets exposure history data of the low dynamic range images according to the marked parts. The image composition unit then synthesizes the low dynamic range images into a high dynamic range image according to the exposure history data.