Abstract: The present disclosure describes an apparatus for processing one or more objects. The apparatus includes a carrier configured to hold the one or more objects, a tank filled with a processing agent and configured to receive the carrier, and a spinning portion configured to contact the one or more objects and to spin the one or more objects to disturb a flow field of the processing agent.

Abstract: A package structure including a photonic, an electronic die, an encapsulant and a waveguide is provided. The photonic die includes an optical coupler. The electronic die is electrically coupled to the photonic die. The encapsulant laterally encapsulates the photonic die and the electronic die. The waveguide is disposed over the encapsulant and includes an upper surface facing away from the encapsulant. The waveguide includes a first end portion and a second end portion, the first end portion is optically coupled to the optical coupler, and the second end portion has a groove on the upper surface.

Abstract: A package includes a photonic layer on a substrate, the photonic layer including a silicon waveguide coupled to a grating coupler; an interconnect structure over the photonic layer; an electronic die and a first dielectric layer over the interconnect structure, where the electronic die is connected to the interconnect structure; a first substrate bonded to the electronic die and the first dielectric layer; a socket attached to a top surface of the first substrate; and a fiber holder coupled to the first substrate through the socket, where the fiber holder includes a prism that re-orients an optical path of an optical signal.

Abstract: A semiconductor package includes a first die stack structure and a second die stack structure, an insulating encapsulation, a redistribution structure, at least one prism structure and at least one reflector. The first die stack structure and the second die stack structure are laterally spaced apart from each other along a first direction, and each of the first die stack structure and the second die stack structure comprises an electronic die; and a photonic die electronically communicating with the electronic die. The insulating encapsulation laterally encapsulates the first die stack structure and the second die stack structure. The redistribution structure is disposed on the first die stack structure, the second die stack structure and the insulating encapsulation, and electrically connected to the first die stack structure and the second die stack structure. The at least one prism structure is disposed within the redistribution structure and optically coupled to the photonic die.

Abstract: System and methods for detecting anomalies and identifying faults of a gas turbine engine may include a recorder in communication with a processor. The recorder may be configured to capture archival data of the gas turbine engine. A flight normalizer module may be configured to produce normalized results based on the archival data. A flight parameter features module may be configured to generate flight parameter features based on the normalized results. A data warehouse module may be configured to determine suspected fault classes by comparing the flight parameter features against training parameter features stored in the data warehouse module based on queries from the flight parameter features module. A majority vote module may be configured to determine a diagnosed fault class based on the suspected fault classes.

Abstract: System and methods for detecting anomalies and identifying faults of a gas turbine engine may include a recorder in communication with a processor. The recorder may be configured to capture archival data of the gas turbine engine. A flight normalizer module may be configured to produce normalized results based on the archival data. A flight parameter features module may be configured to generate flight parameter features based on the normalized results. A data warehouse module may be configured to determine suspected fault classes by comparing the flight parameter features against training parameter features stored in the data warehouse module based on queries from the flight parameter features module. A majority vote module may be configured to determine a diagnosed fault class based on the suspected fault classes.

Abstract: A fault detection and diagnosis method for a gas turbine engines comprises collecting a sensor signal from an acoustic or vibrational sensor at the gas turbine engine, pre-processing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison between the feature set and a library of fault and non-fault feature profiles corresponding to fault and non-fault states of the gas turbine engine.

Abstract: Simple, computational efficient, and robust audio features are applied in a uniform program indexing method for picking up video segments relating to highlight plays in a recorded program worthy of being reviewed. By focusing on certain frequencies in an audio sequence of the program, a computational complexity of the uniform program indexing method is significantly decreased. With the aid of MFCC coefficients and a DFBE coefficient generated from the MFCC coefficients, audio patterns may be utilized for differentiating exciting events in the program from other unnecessary information. Scores corresponding to various audio segments are regarded as standards for picking up video segments in the program worthy of being chosen in a recorded highlight collection. Some low-level-feature parameters, some video segments having highlight-related visual characteristics, and a re-ranking procedure are utilized for enhancing precision of the scores for providing video segments worthy of being reviewed.

Abstract: A fault detection and diagnosis method for a gas turbine engines comprises collecting a sensor signal from an acoustic or vibrational sensor at the gas turbine engine, pre-processing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison between the feature set and a library of fault and non-fault feature profiles corresponding to fault and non-fault states of the gas turbine engine.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure.

Abstract: A video encoder controlling rate of each frame in a current frame set (Group of Picture, GOP), and method thereof. The video encoder comprises a frame grouping device, a GOP initialization device, and a GOP encoding device. The frame grouping device allocates a target bit budget RGOP to the current frame set. The GOP initialization device is coupled to the frame grouping device, and estimates a first quantization parameter QP1 based on the target bit budget RGOP and complexity of the current frame set. The GOP encoding device is coupled to the GOP initialization device, and encoding a frame in the current frame set with the second quantization parameter QP2 to generate output data.

Abstract: A method of identifying a target synchronization point pair including a source synchronization point corresponding to a source end and a destination synchronization point corresponding to a destination end is provided. The method includes receiving a source scan-line image corresponding to a first video source from the source end; selecting at least a comparing frame out of the source scan-line image; providing a destination scan-line image corresponding to a second video source at the destination end; and determining the target synchronization point pair by comparing the comparing frame and the destination scan-line image.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure. A method for performing a currency type analysis operation on an image corresponding to at least a monetary banknote is provided. The method includes respectively assigning a plurality of bit values to a plurality of currency types to create a currency type definition table, performing a color analysis operation on the image to generate a color analysis operation result, and determining a currency type of the monetary banknote according to the color analysis operation result and the currency type definition table.

Abstract: A protection method for preventing a hard copy of a document from being released or reproduced is provided. The protection method comprises: selecting a pattern with a closed contour line and utilizing a level set method to process the pattern to generate at least a watermark; and embedding the watermark into the document. In addition, the protection method can further comprise: detecting the hard copy of the document to determine whether at least a watermark exists in the hard copy of the document; and forbidding releasing or reproducing the document when the watermark is detected in the hard copy of the document.

Abstract: An image processing method includes (a) performing edge detection to an image to obtain a plurality of the edge pixels of the image; (b) performing partial PSF estimation to each of the edge pixels to generate a plurality of partial PSF estimation results; and (c) generating a PSF estimation result according to the partial PSF estimation results.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure.

Abstract: A method of rate control in a video encoder includes performing a first encoding step to encode macroblocks of a current frame by utilizing a first quantization parameter to thereby generate a residual signal for the current frame; estimating a number of header bits for each macroblock mode to thereby estimate a total number of header bits for the current frame; estimating an available number of texture bits according to the total number of header bits for the current frame; determining a second quantization parameter according to the estimated available number of texture bits; and performing a second encoding step to encode the residual signal for the current frame by utilizing the second quantization parameter.

Abstract: A method of indexing final pitching shots for each batter in a video recording of a baseball game is disclosed. The method includes locating pitching video frames in the video, identifying individual pitching shots contained in the video, determining which of the pitching shots is a final pitching shot for each batter in the baseball game, and creating an index of the final pitching shots.

Abstract: A color processing method for identification of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; extracting color histogram data for each section; assigning a color vector for each section according to the color histogram data for the section; comparing the color vector for each section to a color lookup table to determine a probability of the section corresponding to monetary banknotes; and selecting probable sections having the probability exceeding a first predetermined threshold.

Abstract: A method for characterizing texture of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; calculating a gray level for each section; selecting potential sections from the sections, the potential sections having gray levels within a predetermined range; selecting bill sections from the potential sections, the bill sections having pixels within a predefined color range and a predefined continuous color gradient range; generating a binary edge map according to gray levels of pixels within the bill sections; and calculating a texture value for each bill section according to the binary edge map.