Zhengdong
Zhengdong Liu, Zhenjiang CN
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20130214848 | METHOD FOR JUDGING CAPACITANCE TYPE TOUCH BUTTONS - A method for judging capacitance type touch buttons in touch sensing technical field includes that: when touching a button, determining the change trend of the charge quantity on the button; a charge regulation is performed to the charge accumulation area corresponding to each button, until the charge quantity in the charge accumulation area corresponding to the button remains unchanged; calculating the charge changing quantity of the charge accumulation area when touching the button, and calculating the ratio between the charge changing quantity of the charge accumulation area and the charge balance quantity as well; and when the change trend of the charge quantity on the button is decrease and the ratio between the charge changing quantity of the charge accumulation area corresponding to the button and the charge balance quantity is larger than or equal to the first threshold value and smaller than the third threshold value, or when the change trend of the charge quantity on the button is increase and the ratio between the charge changing quantity of the charge accumulation area corresponding to the button and the charge balance quantity is larger than or equal to the second threshold value and smaller than the third threshold value, the button is the touched button. The capacitance type touch buttons are judged more accurately according to the present invention. | 08-22-2013 |
20130222341 | TOUCH RECOGNITION METHOD, TOUCH KEY STRUCTURE AND TOUCH DEVICE - A touch recognition method, a touch key structure and a touch device are provided. The touch recognition method includes when the touch key structure is faced to touching or near touching, supplementing charges to a charge accumulation area corresponding to each key in the touch key structure until the charge amount in the charge accumulation area corresponding to each key reaches a balance; calculating the charge variation amount in each charge accumulation area when the touch key structure is faced to touching according to the charge supplement amount in the charge accumulation area corresponding to each key, and calculating the ratio of the charge variation amount to the charge balance amount in each charge accumulation area; recognizing the key corresponding to the charge accumulation area which has the largest charge variation amount and the largest ratio of the charge variation amount to the charge balance amount as the touched key. | 08-29-2013 |
Zhengdong Lu, Beijing CN
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20120303557 | INTERACTIVE FRAMEWORK FOR NAME DISAMBIGUATION - A “Name Disambiguator” provides various techniques for implementing an interactive framework for resolving or disambiguating entity names (associated with objects such as publications) for entity searches where two or more same or similar names may refer to different entities. More specifically, the Name Disambiguator uses a combination of user input and automatic models to address the disambiguation problem. In various embodiments, the Name Disambiguator uses a two part process, including: 1) a global SVM trained from large sets of documents or objects in a simulated interactive mode, and 2) further personalization of local SVM models (associated with individual names or groups of names such as, for example, a group of coauthors) derived from the global SVM model. The result of this process is that large sets of documents or objects are rapidly and accurately condensed or clustered into ordered sets by that are organized by entity names. | 11-29-2012 |
Zhengdong Lu, Hk HK
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20160098437 | INFORMATION RETRIEVAL METHOD AND APPARATUS - The present invention relates to the field of computer communications technologies and discloses an information retrieval method and apparatus. In this solution, even if result information does not include a retrieval keyword, a matching value between the result information and each local matching model can be determined in a local matching model set according to a retrieval keyword group and a result keyword group that is determined according to a result information group. Then, a relevance degree is obtained according to the matching value between the result information and all local matching models. Therefore, the result information that has relatively high relevance with the retrieval instruction but does not include the retrieval keyword can still be presented to a user, which improves retrieval accuracy. | 04-07-2016 |
Zhengdong Zhang, Shanghai CN
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20110316543 | METHOD AND CIRCUITS FOR SHORT-CIRCUIT PROTECTION OF LED SYSTEMS - An embodiment of the present invention relates to a method for detection of short circuit conditions in an LED array having one or more LED strings, each of which includes one or more LED devices. The method includes determining a minimum voltage that is the lowest of voltages associated with cathode terminals of the one or more LED strings. The method also includes determining if said minimum voltage is between a lower limit voltage and an upper voltage limit. If said minimum voltage is between the lower limit voltage and the upper voltage limit, then a result of a short circuit testing can be considered valid. Here, the short circuit testing includes comparing a sampled voltage associated with a cathode voltage of one of the LED strings with a short-circuit reference voltage. | 12-29-2011 |
Zhengdong Zhang, Beijing CN
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20120133779 | ROBUST RECOVERY OF TRANSFORM INVARIANT LOW-RANK TEXTURES - A “Transform Invariant Low-Rank Texture” (TILT) Extractor, referred to as a “TILT Extractor” accurately extracts both textural and geometric information defining regions of low-rank planar patterns from 2D images of a scene, thereby enabling a large range of image processing applications. Unlike conventional feature extraction techniques that rely on point-based features, the TILT Extractor extracts texture regions from an image and derives global correlations or transformations of those regions in 3D (e.g., transformations including translation, rotation, reflection, skew, scale, etc.). These image domain transformations inherently provide information relative to an automatically determinable camera viewing direction. In other words, the TILT Extractor extracts low-rank regions and geometric correlations describing domain transforms of those regions relative to arbitrary camera viewpoints. The TILT Extractor also identifies sparse error in image intensity or other color channels resulting from noise, occlusions or other artifacts, thereby allowing elimination or reduction of such errors in images. | 05-31-2012 |
20120133780 | CAMERA CALIBRATION WITH LENS DISTORTION FROM LOW-RANK TEXTURES - A “Camera Calibrator” provides various techniques for recovering intrinsic camera parameters and distortion characteristics by processing a set of one or more input images. These techniques are based on extracting “Transform Invariant Low-Rank Textures” (TILT) from input images using high-dimensional convex optimization tools for matrix rank minimization and sparse signal recovery. The Camera Calibrator provides a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera even with significant lens distortion, noise, errors, partial occlusions, illumination and viewpoint change, etc. Distortions caused by the camera can then be automatically corrected or removed from images. Calibration is achieved under a wide range of practical scenarios, including using multiple images of a known pattern, multiple images of an unknown pattern, single or multiple images of multiple patterns, etc. Significantly, calibration is achieved without extracting or manually identifying low-level features such as corners or edges from the calibration images. | 05-31-2012 |
20120134588 | RECTIFICATION OF CHARACTERS AND TEXT AS TRANSFORM INVARIANT LOW-RANK TEXTURES - A “Text Rectifier” provides various techniques for processing selected regions of an image containing text or characters by treating those images as matrices of low-rank textures and using a rank minimization technique that recovers and removes image deformations (e.g., affine and projective transforms as well as general classes of nonlinear transforms) while rectifying the text or characters in the image region. Once distortions have been removed and the text or characters rectified, the resulting text is made available for a variety of uses or further processing such as optical character recognition (OCR). In various embodiments, binarization and/or inversion techniques are applied to the selected image regions during the rank minimization process to both improve text rectification and to present the resulting images of text to an OCR engine in a form that enhances the accuracy of the OCR results. | 05-31-2012 |