Abstract: Motion-based control of an electronic device uses an array of at least three reference elements forming a triangle. An image sensor (e.g., a video camera), which may be located on a user-manipulated device, captures an image of the array. The array image has a pattern formed by a nonparallel projection of the reference triangle onto the image sensor. The pattern carries information of the relative position between the image sensor and the reference element array, and changes as the relative position changes. The pattern is identified and used for generating position information, which may express a multidimensional position of the user-manipulated device with respect to three axes describing a translational position, and three rotational axes describing pitch, roll and yaw motions. The control system and method are particularly suitable for videogames.

Abstract: A method for selecting a clock source in Synchronization Digital Hierarchy (SDH) network and a clock module are provided in the present invention. The method includes: generating a clock information message based on the clock quality information in SDH network, and the clock module of every network node in said SDH network independently selects a clock source by using said clock information message. The method and clock module for selecting a clock source in SDH provided in the present invention enable automatic switch and recovery for a clock source, and effectively solve the problem of clock looping, and adequately maintain the compatibility with the existing system without increasing the cost of the system.

Abstract: Accelerator systems and methods are disclosed that utilize FPGA technology to achieve better parallelism and processing speed. A Field Programmable Gate Array (FPGA) is configured to have a hardware logic performing computations associated with a neural network training algorithm, especially a Web relevance ranking algorithm such as LambaRank. The training data is first processed and organized by a host computing device, and then streamed to the FPGA for direct access by the FPGA to perform high-bandwidth computation with increased training speed. Thus, large data sets such as that related to Web relevance ranking can be processed. The FPGA may include a processing element performing computations of a hidden layer of the neural network training algorithm. Parallel computing may be realized using a single instruction multiple data streams (SIMD) architecture with multiple arithmetic logic units in the FPGA.

Abstract: Computing devices are often designed in view of a particular usage scenario, but may be unsuitable for usage in other computing scenarios. For example, a notebook computer with a large display, an integrated keyboard, and a high-performance processor suitable for many computing tasks may be heavy, large, and power-inefficient; and a tablet lacking a keyboard and incorporating a low-powered processor may improve portability but may present inadequate performance for many tasks. Presented herein is a configuration of a computing device featuring a display unit with a resource-conserving processor that may be used independently (e.g., as a tablet), but that may be connected to a base unit featuring a resource-intensive processor. The operating system of the device may accordingly transition between a resource-intensive computing environment and a resource-conserving computing environment based on the connection with the base unit, thereby satisfying the dual roles of workstation and portable tablet device.

Abstract: Some implementations provide techniques and arrangements to receive image information. A plurality of reference fields of a user-manipulated device may be identified. Each reference field of the plurality of reference fields may include reference elements. The plurality of reference fields may be identified based on colors of the reference elements, shapes of the reference elements, and/or a pattern of the reference elements. Some implementations may generate position information based on the plurality of reference fields. The position information may identify a position of the user-manipulated device relative to the video camera. Some implementations may provide the position information to an application.

Abstract: Techniques for utilizing an infrared illuminator, an infrared camera, and a projector to create a virtual 3D model of a real 3D object in real time for users' interaction with the real 3D object.

Abstract: A position determination module is described which receives image information from a video camera. The position determination module identifies at least one reference field in the image information to provide identified reference information. The position determination module then generates position information based on the identified reference information. The position information is associated with a position of the reference field with respect the video camera. In one implementation, the video camera is stationary and the reference field is coupled to a user-manipulated device. In another implementation, the reference field is coupled to a stationary display device and the video camera is coupled to a movable user-manipulated device.

Abstract: Techniques for utilizing two or more mobile devices equipped with projectors to generate a combined seamless user interfaces by stitching projection areas generated by the projectors.

Abstract: A method using a RankBoost-based algorithm to automatically select features for further ranking model training is provided. The method reiteratively applies a set of ranking candidates to a training data set comprising a plurality of ranking objects having a known pairwise ranking order. Each round of iteration applies a weight distribution of ranking object pairs, yields a ranking result by each ranking candidate, identifies a favored ranking candidate for the round based on the ranking results, and updates the weight distribution to be used in next iteration round by increasing weights of ranking object pairs that are poorly ranked by the favored ranking candidate. The method then infers a target feature set from the favored ranking candidates identified in the iterations.

Abstract: Accelerator systems and methods are disclosed that utilize FPGA technology to achieve better parallelism and processing speed. A Field Programmable Gate Array (FPGA) is configured to have a hardware logic performing computations associated with a neural network training algorithm, especially a Web relevance ranking algorithm such as LambaRank. The training data is first processed and organized by a host computing device, and then streamed to the FPGA for direct access by the FPGA to perform high-bandwidth computation with increased training speed. Thus, large data sets such as that related to Web relevance ranking can be processed. The FPGA may include a processing element performing computations of a hidden layer of the neural network training algorithm. Parallel computing may be realized using a single instruction multiple data streams (SIMD) architecture with multiple arithmetic logic units in the FPGA.

Abstract: Motion-based control of an electronic device uses an array of at least three reference elements forming a triangle. An image sensor (e.g., a video camera), which may be located on a user-manipulated device, captures an image of the array. The array image has a pattern formed by a nonparallel projection of the reference triangle onto the image sensor. The pattern carries information of the relative position between the image sensor and the reference element array, and changes as the relative position changes. The pattern is identified and used for generating position information, which may express a multidimensional position of the user-manipulated device with respect to three axes describing a translational position, and three rotational axes describing pitch, roll and yaw motions. The control system and method are particularly suitable for videogames.

Abstract: A position determination module is described which receives image information from a video camera. The position determination module identifies at least one reference field in the image information to provide identified reference information. The position determination module then generates position information based on the identified reference information. The position information is associated with a position of the reference field with respect the video camera. In one implementation, the video camera is stationary and the reference field is coupled to a user-manipulated device. In another implementation, the reference field is coupled to a stationary display device and the video camera is coupled to a movable user-manipulated device.