650 results about "Process output" patented technology

System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g., substantially concurrently, by identifying process inputs and outputs (I/O), collecting data for process I/O, determining constraints on model behavior from prior knowledge, formulating an optimization problem, executing an optimization algorithm to determine model parameters subject to the determined constraints, and verifying the compliance of the model with the constraints.

An apparatus and method for monitoring a process involve development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two stages: deterministic model adaption and stochastic model modification of the deterministic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics, augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation error minimization technique. Stochastic model modification involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system. Illustrative of the method and apparatus, the method is applied to a peristaltic pump system.

A state based adaptive PID controller includes a model set component including a plurality of process models, each process model including a plurality of parameters. An error generator generates a model error signal representative of a difference between a model output signal and a process output signal. A model evaluation component computes a model squared error based on the model error signal. A parameter interpolator calculates an adaptive parameter value based on the model squared error. A controller update component updates adaptive controller parameter values based on adaptive parameter values.

A method for production and post-production processing of multi-media input data where the method comprises the steps of inputting one or more multi-media input data sets inputting one or more templates and applying the one or more templates to the one or more input data sets so to produce a processed output data set for storage, and/or display and/or further processing.

Certain examples provide a method of collecting and analyzing complex auditory brainstem response. The example method includes presenting at least one complex auditory stimulus to a subject and acquiring the subject's complex auditory brainstem response. The example method includes averaging complex auditory brainstem responses from the subject in at least one of a time domain and a frequency domain to form a collected response. The example method includes analyzing the collected response using a signal processor to process the collected response to provide a processed output and to adapt the response for comparison to the at least one complex auditory stimulus. The example method includes performing statistical computations on the processed output to generate visual and data feedback for a user.

A process controller that may be used to control a process having a set of process outputs effected by a set of process control input signals includes a multiple-input/multiple output controller that uses the process outputs to develop the set of process control input signals and a process model, which may be a non-linear process model, that receives the set of process control input signals to produce a prediction signal for one or more of the process outputs. The multiple-input/multiple-output control element includes another process model, which may be a standard linear process model, to develop a prediction vector for each of the process outputs and includes a correction unit that modifies the prediction vector for the one or more of the process outputs using the prediction signal for the one or more of the process outputs to thereby compensate for the non-linearities of the process.

A method of fault identification on a semiconductor manufacturing tool includes monitoring tool sensor output, establishing a fingerprint of tool states based on the plurality of sensors outputs, capturing sensor data indicative of fault conditions, building a library of such fault fingerprints, comparing present tool fingerprint with fault fingerprints to identify a fault condition and estimating the effect of such a fault condition on process output. The fault library is constructed by inducing faults in a systematic way or by adding fingerprints of known faults after they occur.

Systems for towing a trailer by a towing vehicle and a method for controlling such a system are disclosed. The systems and method are configured to maintain a constant towing load on the towing vehicle as well as optimizing other performance criteria such as fuel efficiency. The system comprises a closed loop controller, a towing arm assembly, a load measuring device, an electric hub motor, brakes, a motor controller and a brake controller disposed on the trailer. In another embodiment, two separate systems are installed, one on each side of the trailer. A load force feeds into a PID controller programmed with preset proportional, differential and integral parameters. The PID controller generates a command signal to either modulate the brakes or motor up or down depending on the sign of the command signal. A process output updates the system which continuously adjusts based on driving conditions.

A method for detecting occupancy status of a plurality of conference rooms in real time is provided. The method enables, firstly, monitoring a first output signal of a first sensor. Secondly, the method enables monitoring a second output signal of a second sensor. The method further enables comparing the first and second output signals with one or more predetermined thresholds within a predetermined time. Furthermore, the method enables correlating the comparison results to identify any uncertainty in detecting the occupancy. Furthermore, the method enables processing output from one or more image and/or video sensors based on the correlation to obtain occupancy status information when there is uncertainty in detecting occupancy. Finally, the method enables displaying the occupancy status information on one or more user devices.

In some embodiments, a method for processing output of at least one microphone of a device (e.g., a headset) to identify at least one touch gesture exerted by a user on the device, including by distinguishing the gesture from input to the microphone other than a touch gesture intended by the user, and by distinguishing between a tap exerted by the user on the device and at least one dynamic gesture exerted by the user on the device, where the output of the at least one microphone is also indicative of ambient sound (e.g., voice utterences). Other embodiments are systems for detecting ambient sound (e.g., voice utterences) and touch gestures, each including a device including at least one microphone and a processor coupled and configured to process output of each microphone to identify at least one touch gesture exerted by a user on the device.

An adaptive multivariable process control system includes a multivariable process controller, such as a model predictive controller, having a multivariable process model characterized as a set of two or more single-input, single-output (SISO) models and an adaptation system which adapts the multivariable process model. The adaptation system detects changes in process inputs sufficient to start an adaptation cycle and, when such changes are detected, collects process input and output data needed to perform model adaptation. The adaptation system next determines a subset of the SISO models within the multivariable process model which are to be adapted, based on, for example, a determination of which process inputs are most correlated with the error between the actual (measured) process output and the process output developed by the multivariable process model. The adaptation system then performs standard or known model switching and parameter interpolation techniques to adapt each of the selected SISO models. After the adaptation of one or more of the SISO models, the resulting multivariable process model is validated by determining if the adapted multivariable process model has lower modeling error than the current multivariable process model. If so, the adapted multivariable process model is used in the multivariable controller.

Wrist-worn devices and related methods measure a pulse transit time non-invasively and calculate a blood pressure value using the pulse transit time. A wrist-worn device includes an accelerometer, a photo-plethysmogram (PPG) or a pulse pressure sensor, and a controller. The PPG or the pulse pressure sensor coupled to the wrist-worn device for detecting an arrival of a blood pressure pulse at the user's wrist. The controller is configured to process output signals from the accelerometer to detect when the blood pressure pulse is propagated from the left ventricle of the user's heart, process a signal from the PPG or the pulse pressure sensor to detect when the blood pressure pulse arrives at the wrist, calculate a pulse transit time (PTT) for propagation of the blood pressure pulse from the left ventricle to the wrist, and generate one or more blood pressure values for the user based on the PTT.

Apparatus for analysis of a sample includes a radiation source, which is adapted to direct a first, converging beam of X-rays toward a surface of the sample and to direct a second, collimated beam of the X-rays toward the surface of the sample. a motion assembly moves the radiation source between a first source position, in which the X-rays are directed toward the surface of the sample at a grazing angle, and a second source position, in which the X-rays are directed toward the surface in a vicinity of a Bragg angle of the sample. A detector assembly senses the X-rays scattered from the sample as a function of angle while the radiation source is in either of the first and second source configurations and in either of the first and second source positions. A signal processor receives and processes output signals from the detector assembly so as to determine a characteristic of the sample.

A process such as a snapshot creation application process freezes a file system upon initiating a process to create a snapshot of a file system or a part thereof. Upon freezing the file system, the snapshot application process causes a second process to make a change to the file system. If the change is successfully made before the snapshot creation application process tries to thaw the file system, the second process sends a signal back to the snapshot application. Upon receiving a signal from the second process, the snapshot creation application process outputs a warning to a user that the snapshot is inconsistent. The snapshot application also causes a third process to automatically thaw the file system, if a certain period of time has passed and the third process has not received a signal from the snapshot application process indicating the snapshot has been successfully created.

An image signal processing (ISP) system is provided. The system includes a neural network trained by inputting a set of raw data images and a correlating set of desired quality output images; the neural network including an input for receiving input image data and providing processed output; wherein the processed output includes input image data that has been adjusted for at least one image quality attribute. A method and an imaging device are disclosed.

A method includes defining a model of a process for manufacturing a device, the process including a plurality of steps. A plurality of inline process targets are defined for at least a subset of the process steps. The model relates the inline process targets to a plurality of process output parameters. A first set of probabilistic constraints for the inline process targets is defined. A second set of probabilistic constraints for the process output parameters is defined. An objective function is defined based on the model and the plurality of process output parameters. A trajectory of the process output parameters is determined by optimizing the objective function subject to the first and second sets of probabilistic constraints for each process step to determine values for the inline process targets at each process step, the optimization being iterated after completion of each process step for the remaining process steps.

A video analysis system including a video output device monitoring an area for activity, a video analyzer processing output of the video output device and identifying an event in near-real-time, and a persistent database archiving the event for an operational lifetime of the video analysis system and accessible in near-real-time.

In an object oriented computer system, a framework mechanism defines a mechanism that separates the ability to complete a process from the results of that process. A task is defined in the framework in terms of a sequence of processes. The framework includes a coupling mechanism for flexibly coupling any of these processes together in any suitable order to define the run-time behavior of the framework without changing the core functions of the framework. The coupling mechanism includes the definition of a processable interface and a processing interface. A particular process generally takes detail information as input and produces detail information that is used in a subsequent process. The detail information input into a process is said to be "processable", and therefore implements the "processable" interface. The detail information output from a process is said to be "processing" detail that is output to the next process, and therefore implements the processing interface. Thus, an object that uses "shippable" detail information as input through its processable interface generates corresponding "shipping" detail information for each shippable detail, which is output to one or more subsequent processes via the processing interface. A particular processable can be associated with any processing interface that supports the processable interface. In other words, any process-related class in the framework can be coupled to any other process-related class, provided one class has a processing interface that corresponds to the processable interface of the subsequent class. In this manner, classes in the framework mechanism can be flexibly coupled together in any suitable order or fashion to accommodate a great variety of different configurations. The framework mechanism therefore provides a high degree of implementation while maintaining the ability to achieve a high degree of customization.

A locomotive location system and method utilizes inertial measurement inputs, including orthogonal acceleration inputs and turn rate information, in combination with wheel-mounted tachometer information and GPS/DGPS position fixes to provide processed outputs indicative of track occupancy, position, direction of travel, velocity, etc. Various navigation solutions are combined together to provide the desired information outputs using an optimal estimator designed specifically for rail applications and subjected to motion constraints reflecting the physical motion limitations of a locomotive. The system utilizes geo-reconciliation to minimize errors and solutions that identify track occupancy when traveling through a turnout.