| STREAMLINE AUTOMATION, LLC Patent applications |
| Patent application number | Title | Published |
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| 20120022844 | PROBABILISTIC PARAMETER ESTIMATION USING FUSED DATA APPARATUS AND METHOD OF USE THEREOF - A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system. | 01-26-2012 |
| 20120022805 | MECHANICAL HEALTH MONITOR APPARATUS AND METHOD OF OPERATION THEREFOR - A probabilistic data signal processor used to determine health of a system is described. Initial probability distribution functions are input to a dynamic state-space model, which iteratively operates on probability distribution functions, such as state and model probability distribution functions, to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled and used as an input to the dynamic state-space model in the iterative algorithm. In various embodiments, the probabilistic data signal processor is used to filter output from any mechanical device using appropriate physical models, which optionally include chemical, electrical, optical, mechanical, or fluid based models. Examples to valve bearings and pipe systems are provided. | 01-26-2012 |
| 20120022384 | BIOMEDICAL PARAMETER PROBABILISTIC ESTIMATION METHOD AND APPARATUS - A probabilistic digital signal processor is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed (1) to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm or (2) iteratively to the dynamic state-space model. For example, the probabilistic processor operates using a physical model on data from a mechanical system or a medical meter or instrument, such as an electrocardiogram. Output of the physical model yields an enhanced output of the original data, an output to a second physical parameter not output by the medical meter, or a prediction, such as an arrhythmia warning. | 01-26-2012 |
| 20120022350 | SENSOR FUSION AND PROBABILISTIC PARAMETER ESTIMATION METHOD AND APPARATUS - A probabilistic digital signal processor using data from multiple instruments is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data from multiple instruments with the prior to generate a posterior probability distribution function passed (1) to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm or (2) iteratively to the dynamic state-space model. For example, the probabilistic processor operates on fused data using a physical model, where the data originates from a mechanical system or a medical meter or instrument, such as an electrocardiogram or pulse oximeter to generate new parameter information and/or enhanced parameter information. | 01-26-2012 |
| 20120022336 | ITERATIVE PROBABILISTIC PARAMETER ESTIMATION APPARATUS AND METHOD OF USE THEREFOR - A probabilistic digital signal processor using data from multiple instruments is described. In one example, a digital signal processor is integrated into a biomedical device. The processor is configured to: use a dynamic state-space model configured with a physiological model of a body system to provide a prior probability distribution function; receive sensor data input from at least two data sources; and iteratively use a probabilistic updater to integrate the sensor data as a fused data set and generate a posterior probability distribution function using all of: (1) the fused data set; (2) an application of Bayesian probability; and (3) the prior probability distribution function. The processor further generates an output of a biomedical state using the posterior probability function. | 01-26-2012 |
| 20110192793 | Method and Apparatus for Lysing and Processing Algae - Methods and apparatus for processing algae are described in which a hydrophilic ionic liquid is used to lyse algae cells at lower temperatures than existing algae processing methods. A salt or salt solution is used as a separation agent and to remove water from the ionic liquid, allowing the ionic liquid to be reused. The used salt may be dried or concentrated and reused. The relatively low lysis temperatures and recycling of the ionic liquid and salt reduce the environmental impact of the algae processing while providing biofuels and other useful products. | 08-11-2011 |
| 20110192792 | Method and Apparatus for Processing Algae - Methods and apparatus for processing algae are described in which a hydrophilic ionic liquid is used to lyse algae cells. The lysate separates into at least two layers including a lipid-containing hydrophobic layer and an ionic liquid-containing hydrophilic layer. A salt or salt solution may be used to remove water from the ionic liquid-containing layer before the ionic liquid is reused. The used salt may also be dried and/or concentrated and reused. The method can operate at relatively low lysis, processing, and recycling temperatures, which minimizes the environmental impact of algae processing while providing reusable biofuels and other useful products. | 08-11-2011 |
| 20110130551 | Lipid Extraction From Microalgae Using A Single Ionic Liquid - A one-step process for the lysis of microalgae cell walls and separation of the cellular lipids for use in biofuel production by utilizing a hydrophilic ionic liquid, 1-butyl-3-methylimidazolium. The hydrophilic ionic liquid both lyses the microalgae cell walls and forms two immiscible layers, one of which consists of the lipid contents of the lysed cells. After mixture of the hydrophilic ionic liquid with a suspension of microalgae cells, gravity causes a hydrophobic lipid phase to move to a top phase where it is removed from the mixture and purified. The hydrophilic ionic liquid is recycled to lyse new microalgae suspensions. | 06-02-2011 |
| 20110076748 | Method and Apparatus Using an Active Ionic Liquid for Algae Biofuel Harvest and Extraction - The invention relates to use of an active ionic liquid to dissolve algae cell walls. The ionic liquid is used to, in an energy efficient manner, dissolve and/or lyse an algae cell walls, which releases algae constituents used in the creation of energy, fuel, and/or cosmetic components. The ionic liquids include ionic salts having multiple charge centers, low, very low, and ultra low melting point ionic liquids, and combinations of ionic liquids.An algae treatment system is described, which processes wet algae in a lysing reactor, separates out algae constituent products, and optionally recovers the ionic liquid in an energy efficient manner. | 03-31-2011 |
| 20110073492 | Voltammetric Biological Sensor - A sensor and method sense and quantify microorganisms and other biological materials. The sensor and method use high device temperatures to pyrolize and/or thermolyze biological materials, then gas-phase voltammetry is used to analyze the pyrolysis or thermolysis products to detect and identify the source biological material. The sensor and method are capable of differentiating between biological agents, such as pollen, bacteria, fungi, and their spores and the state of an organism such as living, diseased, or non-living. The sensor and method may operate at temperatures sufficient to be self-cleaning and self-decontaminating or at non-elevated temperatures to detect and identify combinations of volatile metabolites to detect and identify their biological sources. | 03-31-2011 |
| 20100274102 | Processing Physiological Sensor Data Using a Physiological Model Combined with a Probabilistic Processor - A pulse oximeter system comprises a data processor configured to perform a method that combines a sigma point Kalman filter (SPKF) or sequential Monte Carlo (SMC) algorithm with Bayesian statistics and a mathematical model comprising a cardiovascular model and a plethysmography model to remove contaminating noise and artifacts from the pulse oximeter sensor output and measure blood oxygen saturation, heart rate, left-ventricular stroke volume, aortic pressure and systemic pressures. | 10-28-2010 |
| 20100143040 | Hazardous Material Storage and Leak Mitigation System - A self-contained storage system for hazardous materials includes a containment envelope enclosing a storage tank containing hazardous materials and forming a containment space between the storage tank and containment envelope. Leaked material is detected by one or more sensors in the containment space and, depending on the concentration or time rate of change in concentration of the leaked material, alarms and corresponding mitigation measures are reversibly activated to remove leaked material from the containment space. | 06-10-2010 |
