193 results about "Hybrid approach" patented technology

A method for three-dimensional shape measurement provides for generating sinusoidal fringe patterns by defocusing binary patterns. A method for three-dimensional shape measurement may include (a) projecting a plurality of binary patterns onto at least one object; (b) projecting three phase-shifted fringe patterns onto the at least one object; (c) capturing images of the at least one object with the binary patterns and the phase-shifted fringe patterns; (d) obtaining codewords from the binary patterns; (e) calculating a wrapped phase map from the phase-shifted fringe patterns; (f) applying the codewords to the wrapped phase map to produce an unwrapped phase map; and (g) computing coordinates using the unwrapped phase map for use in the three-dimensional shape measurement of the at least one object. A system for performing the method is also provided. The high-speed real-time 3D shape measurement may be used in numerous applications including medical science, biometrics, and entertainment.

Method and apparatus for combining a plurality of overlapping policy-based controllers. System also applicable to policy-based process servers. System combines controllers by combining the respective policy information. System combines a plurality of policy-based sub-controllers by combining the associated distributional information contained in the associated sub-policies. An iterative mixture mechanism with temporal persistence regulates the relative contribution of the sub-policies smoothly over time thereby allowing smooth transition of control from one control regime to another. The system provides for modular detection and resolution of conflicts that may arise as a result of combining otherwise incompatible sub-policies. Preferred embodiment performs mixture method in policy space. Another embodiment applies mixture method to value functions associated with each sub-server.

A hybrid approach to improve handwriting recognition and voice recognition in data process systems is disclosed. In one embodiment, a front end is used to recognize strokes, characters and/or phonemes. The front end returns candidates with relative or absolute probabilities of matching to the input. Based on linguistic characteristics of the language, e.g. alphabetical or ideographic language for the words being entered, e.g. frequency of words and phrases being used, likely part of speech of the word entered, the morphology of the language, or the context in which the word is entered), a back end combines the candidates determined by the front end from inputs for words to match with known words and the probabilities of the use of such words in the current context.

Hybrid methods for classifying defects in semiconductor manufacturing are provided. The methods include applying a flexible sequence of rules for defects to inspection data. The sequence of rules includes deterministic rules, statistical rules, hybrid rules, or some combination thereof. The rules included in the sequence may be selected by a user using a graphical interface The method also includes classifying the defects based on results of applying the sequence of rules to the inspection data.

A hybrid approach to improve handwriting recognition and voice recognition in data process systems is disclosed. In one embodiment, a front end is used to recognize strokes, characters and/or phonemes. The front end returns candidates with relative or absolute probabilities of matching to the input. Based on linguistic characteristics of the language, e.g. alphabetical or ideographic language for the words being entered, e.g. frequency of words and phrases being used, likely part of speech of the word entered, the morphology of the language, or the context in which the word is entered), a back end combines the candidates determined by the front end from inputs for words to match with known words and the probabilities of the use of such words in the current context.

An audio spatial environment engine is provided for converting between different formats of audio data. The audio spatial environment engine (100) allows for flexible conversion between N-channel data and M-channel data and conversion from M-channel data back to N′-channel data, where N, M, and N′ are integers and where N is not necessarily equal to N′. For example, such systems could be used for the transmission or storage of surround sound data across a network or infrastructure designed for stereo sound data. The audio spatial environment engine provides improved and flexible conversions between different spatial environments due to an advanced dynamic down-mixing unit (102) and a high-resolution frequency band up-mixing unit (104). The dynamic down-mixing unit includes an intelligent: analysis and correction loop (108, 110) capable of correcting for spectral, temporal, and spatial inaccuracies common to many down-mixing methods. The up-mixing unit utilizes the extraction and analysis of important inter-channel spatial cues across high-resolution frequency bands to derive the spatial placement of different frequency elements. The down-mixing and up-mixing units, when used individually or as a system, provide improved sound quality and spatial distinction.

Systems and methods for implementing hybrid, closed-loop control that generates control values for processes defined by a limited number of function evaluations and large amounts of process and measurement noise. The described control system is applied to a stencil printing process for applying solder paste to an electronic medium such as a printed circuit board or semiconductor wafer. The control system is defined by a hybrid approach. A first, coarse algorithm is used to rapidly produce the value of a stencil printer control value resulting in a solder paste deposit having a volume within predetermined acceptable limits. After the coarse algorithm no longer produces solder paste deposits closer to a desired volume, a second, more refined estimator is used to fine tune the process. An additional transitional algorithm may be added between the coarse algorithm and refined estimator. The coarse algorithm may be implemented with a constrained-conjugated gradient search, and the refined search may be a implemented using a least-squares affine estimator or a quadratic estimator. The transitional algorithm may be implemented using a block version of a least-squares affine estimator.

A hybrid method for dental implant treatment planning and a corresponding approach to make a surgical guide. After digital treatment planning is performed with CT scan data, a master model is created, which embodies the patient anatomy and entire treatment plan. Jaw bone, tooth surfaces, soft tissues and nerves are all contained by the master model. The plan details including implant sizes and positions, surgical guide drill options, as well as the choice of a surgical kit, are all conveyed by the master model. Meanwhile, models of specially designed “implant inserts (or replicas)” are also generated, which have one end that fits into the implant holes on the master model and another end to make the surgical guide. The master model and inserts are manufactured with rapid prototyping technology. A surgical guide is later on made from them with conventional lab processes. A main characteristic of this approach is that the master model and the inserts are the physical embodiment of a virtual treatment plan. With them, the surgeons can continue the treatment planning for operations like tooth extractions and bone modifications before making the surgical guides. Therefore the treatment planning workflow is a combination of digital treatment planning and a physical model based planning, in other words, a hybrid approach. A differentiator in this invention is the generation of a closed solid model of the soft tissue, as part of the master model, from the scan data. This approach can be applied to create both bone-borne and tissue-borne surgical guides with low cost process, which is a big advantage over other approaches.

The present disclosure concerns a hybrid content-based 3D model search and retrieval method for queries in generic 3D model datasets. The hybrid nature of the method is two-fold. First, a combination of 2D and 3D features is used as the shape descriptor of a 3D model and second, two alternative alignment techniques, CPCA and NPCA, are employed for rotation normalization. The 2D features are Fourier coefficients extracted from three pairs of depth buffers which are computed for each Cartesian plane capturing the model's thickness along each axis. The 3D features are spherical harmonic coefficients extracted from a spherical function based representation that captures the model's surface as well as volume information.

The present invention is a simulation-based method for rapidly designing, evaluating, and/or optimizing a microfluidic system or biochip. The method provides an environment for schematic generation, system layout, problem setup, simulation, and post-processing. The method comprises a system solver used to simulate microfluidic processes such as pressure driven and electroosmotic flows, analytes dispersion, separation, and mixing, and biochemical reactions. The system solver uses a mixed methodology approach that enables the operation of complete, complex microfluidic systems to be simulated rapidly and iteratively.

Mobile nodes communicate with each other to transfer packets between a source and a destination using a multi-hop network strategy for communicating packets in the forward direction and using a mobile infostation network strategy, alone or in combination with a multi-hop network strategy, for communicating packets in the reverse direction, thereby exploiting a controlled flooding communication scheme that balances the tradeoffs between capacity improvement and random packet delay. The system may be used in a variety of applications, including an intelligent highway information system.

The present invention relates to a system and method for positioning and navigation using hybrid spectral compression and cross correlation signal processing of signals of opportunity, which may include Global Navigation Satellite System (GNSS) as well as other wideband energy emissions in GNSS obstructed environments. Examples of these signals of opportunity include but are not limited to GPS, GLONASS, cellular Code Division Multiple Access (CDMA) communications signals, and 802.11 Wi-Fi. Combining spectral compression with spread spectrum cross correlation enables extraction of code and carrier observables without the need to implement the tracking loops (e.g. Costas tracking loop) commonly used in conventional GNSS receivers. For applications where dynamics and transmission medium may make it difficult to continuously track carrier phase, the hybrid approach of the present invention has significant utility.

A computer-implemented system and method for text classification is provided that applies a hybrid approach for text classification. The system and method includes a text pre-processor which prepares unclassified articles in a format which can be read by a two-stage classifier. The classifier employs a hybrid approach. A keyword-based model achieves machine-labelling of the articles. The machine-labelled articles are used to train a machine learning model. New articles can be applied against the trained model, and classified.

A hybrid approach is provided to the formatting of signals for transmission in a high-data-rate wireless system. We retain the format and timing of an HRPD frame, but the data portions of selected slots within the frame are given over to OFDMA transmission instead of CDMA transmission. Because OFDMA is robust against self-interference, high throughput can be achieved in a greater number of slots, including at least some in which a low signal-to-interference-noise ratio (SINR) might limit a pure CDMA data rate.