Abstract: Techniques are disclosed for provided automatic fault tolerance in data storage systems and other computer systems managing access to shared computing resources using the construct of a resource instance manager together with an architecture for designing and implementing task-oriented state-based commands for accessing the shared computing resources. A set of resource instance managers respond to all commands requesting access to a set of respective shared resources. Access to each shared resource is managed by a unique resource instance manager for that resource which maintains a consistent state for that shared resource. When commands are designed appropriately, the system can be restored using a system state history maintained transparently by a system-provided application program interface.

Abstract: The present invention relates to a face recognition system and a face recognition method, mainly comprising a lighting preprocessing module, a feature generation module, a facial feature library module, and a feature matching and recognition module. In the face recognition method, the inputted face image is first light-difference optimized by means of the lighting preprocessing module, then a feature vector of the face image is generated by means of the feature generation module; then, the feature vector to be recognized is matched with all of the feature vectors in the feature library and computed to arrive at an identity result corresponding to the feature vector to be recognized. In the technical solutions of the present invention, the identity of a face image to be recognized may be determined in real time for a system whose computing resources are limited, using a short period of time and having high accuracy.

Abstract: A method disclosed herein includes: converting an image of a manufactured circuit to a plurality of representative contours, the plurality of representative contours corresponding to printed features in the manufactured circuit; generating a risk inventory for the manufactured circuit based on the plurality of representative contours, the risk inventory being configured to identify at least one process sensitive geometry (PSG) in the manufactured circuit; generating a common process window (CPW) for the manufactured circuit based on the plurality of representative contours and the risk inventory, the CPW being indicative of manufacturing reliability of each feature in the manufactured circuit; and generating instructions to adjust a manufacturing tool for creating the manufactured circuit, based on the generated CPW.

Abstract: A method of creating an optical proximity correction (OPC) model and assessing the model through optical rule checking (ORC) includes the introduction of post-integration, i.e., post-metallization data. High density critical dimension scanning electron microscopy and backscattered electron scanning electron microscopy from a metallized structure are used during development and verification of the model to accurately predict post-integration behavior.

Abstract: Disclosed are a gesture detection and recognition method and system. The gesture detection and recognition method comprises: acquiring and storing an image; adopting a plurality of pre-set classifiers for deleting different gestures to detect each frame of the image according to a pre-set sequence in a frame alternating manner to acquire a gesture target; establishing a skin color model based on the pixel distribution of the region of the gesture target; and acquiring gesture frequencies of the gesture target in a previous state and a later state according to the skin color model, and matching the gesture frequencies with a pre-set gesture state, so that a gesture change state is obtained and output. The gesture detection and recognition method and extract a skin color under specific scene, and can gradually eliminate the influence generated by acute illumination changes, thus realizing the purpose of extracting a gesture change state.

Abstract: A method of creating an optical proximity correction (OPC) model and assessing the model through optical rule checking (ORC) includes the introduction of post-integration, i.e., post-metallization data. High density critical dimension scanning electron microscopy and backscattered electron scanning electron microscopy from a metallized structure are used during development and verification of the model to accurately predict post-integration behavior.

Abstract: Methods according to the disclosure include: converting an image of a manufactured circuit to a plurality of representative contours, the plurality of representative contours corresponding to printed features in the manufactured circuit; generating a risk inventory for the manufactured circuit based on the plurality of representative contours, the risk inventory being configured to identify at least one process sensitive geometry (PSG) in the manufactured circuit; generating a common process window (CPW) for the manufactured circuit based on the plurality of representative contours and the risk inventory, the CPW being indicative of manufacturing reliability of each feature in the manufactured circuit; and generating instructions to adjust a manufacturing tool for creating the manufactured circuit, based on the generated CPW.

Abstract: Techniques are disclosed for managing access to shared computing resources in a computing system which include representing resources as objects and managing access to those objects using the construct of a resource instance manager. A set of resource instance managers respond to all commands requesting access to a set of respective shared resources. Access to each shared resource is managed by a unique resource instance manager for that resource which maintains a consistent state for that shared resource. When commands are designed according to an appropriate model and processed by a set of resource instance managers disclosed herein, multiple processes may execute in parallel without causing deadlocks or introducing data corruption.

Abstract: Disclosed are a gesture detection and recognition method and system. The gesture detection and recognition method comprises: acquiring and storing an image; adopting a plurality of pre-set classifiers for deleting different gestures to detect each frame of the image according to a pre-set sequence in a frame alternating manner to acquire a gesture target; establishing a skin colour model based on the pixel distribution of the region of the gesture target; and acquiring gesture frequencies of the gesture target in a previous state and a later state according to the skin colour model, and matching the gesture frequencies with a pre-set gesture state, so that a gesture change state is obtained and output. The gesture detection and recognition method and extract a skin colour under specific scene, and can gradually eliminate the influence generated by acute illumination changes, thus realizing the purpose of extracting a gesture change state.

Abstract: The present invention relates to a face recognition system and a face recognition method, mainly comprising a lighting preprocessing module, a feature generation module, a facial feature library module, and a feature matching and recognition module. In the face recognition method, the inputted face image is first light-difference optimized by means of the lighting preprocessing module, then a feature vector of the face image is generated by means of the feature generation module; then, the feature vector to be recognized is matched with all of the feature vectors in the feature library and computed to arrive at an identity result corresponding to the feature vector to be recognized. In the technical solutions of the present invention, the identity of a face image to be recognized may be determined in real time for a system whose computing resources are limited, using a short period of time and having high accuracy.

Abstract: The invention discloses an image recognition system, comprising: a robot having an image collection module configured to drive an image collection module to collect an image in a view of the robot by the image collection drive module; a light source configured to supplement light when the image collection module collecting an image; a face detection module configured to locate a face image in an image according to the image collected by the image collection module; a face recognition module configured to implement a preprocessing for the located face image, then the preprocessed face image being compared with an image feature information of a known identity in a database, to determine an identity information and a confidence probability of the present face image. The invention can identify a face based on a fixed face pose, and it can identify a face based on a local or web server database.

Abstract: The invention discloses an image recognition system, comprising: a robot having an image collection module configured to drive an image collection module to collect an image in a view of the robot by the image collection drive module; a light source configured to fill the light when the image collection module collecting an image; a face detection module configured to locate a face image in an image according to the image collected by the image collection module; a face recognition module configured to implement a preprocessing for the located face image, then the preprocessed face image being compared with an image feature information of a known identity in a database, to determine an identity information and a confidence rate of the present face image. The invention can identify a face based on a fixed face pose, and it can identify a face based on a local or web server database.