Abstract: Computer-based process modeling and simulation methods and systems combine first principles models and machine learning models to benefit where either model is lacking. In one example, input values (measurements) are adjusted by first principles techniques. A machine learning model of the chemical process of interest is trained on the adjusted values. In another example, a machine learning model represents the residual (delta) between a first principles model prediction and empirical data. Residual machine learning models correct physical phenomena predictions in a first principles model of the chemical process. In another example, a first principles simulation model uses the process input data and predictions of the machine learning model to generate simulated results of the chemical process.

Abstract: Computer-implemented methods and systems construct a calibrated operation-centric first-principles model suitable for online deployment to monitor, predict, and control real-time plant operations. The methods and systems identify a plant-wide first-principles model configured for offline use and select a modeled operating unit contained in the plant-wide model. The methods and systems convert the plant-wide model to an operation-centric first-principles model of the selected modeled operating unit. The methods and systems recalibrate the operation-centric model to function using real-time measurements collected by physical instruments of the operating unit at the plant. The recalibration may include reconciling flow and temperature, estimating feed compositions, and tuning liquid and vapor traffic flow in the model. The methods and systems deploy the operation-centric model to calculate KPIs (Key Performance Indicators) using real-time measurements.

Abstract: Embodiments are directed to computer methods and systems that build and deploy a pattern model to detect an operating event in an online plant process. To build the pattern model, the methods and systems define a signature of the operating event, such that the defined signature contains a time series pattern for a KPI associated with the operating event. The methods and systems deploy the pattern model to automatically monitor, during online execution of the plant process, trends in movement of the KPI as a time series. The methods and systems determine, in real-time, a distance score between a range of the monitored time series and the time series pattern contained in the defined signature. The methods and systems automatically detect the operating event in the online industrial process based on the determined distance score, and alter parameters of the process (e.g., valves, actuators, etc.) to prevent the operating event.

Abstract: System and methods that provide a new paradigm for solving process system engineering (PSE) problems using embedded artificial intelligence (AI) techniques. The approach can facilitate process model building and deployment and benefits from emerging AI and machine learning (ML) technology. The systems and methods can define PSE problems with mathematical equations, first principles and domain knowledges, and physical and economical constraints. The systems and methods generate a dataset of recorded measurements for variables of the process, and reduce the dataset by cleansing bad quality data segments and measurements for uninformative process variables from the dataset. The dataset is then enriched by, for example, applying nonlinear transforms, engineering calculations, and statistical measurements.

Abstract: Computer-based process modeling and simulation methods and systems combine first principles models and machine learning models to benefit where either model is lacking. In one example, input values (measurements) are adjusted by first principles techniques. A machine learning model of the chemical process of interest is trained on the adjusted values. In another example, a machine learning model represents the residual (delta) between a first principles model prediction and empirical data. Residual machine learning models correct physical phenomena predictions in a first principles model of the chemical process. In another example, a first principles simulation model uses the process input data and predictions of the machine learning model to generate simulated results of the chemical process.

Abstract: A heat exchanger having a plurality of heat exchanger plate pairs. Each plate has a longitudinal central planar portion and a peripheral edge portion extending from it. The plate is provided with a first boss and a second boss having an inlet and outlet, respectively. A rib is also provided extending from the peripheral edge portion to the central planar portion, the rib having a mating surface, where the rib mating surface of a first plate in a first plate pair is in contact with a rib mating surface of a second plate in an adjacent plate pair.

Abstract: Embodiments are directed to computer methods and systems that build and deploy a pattern model to detect an operating event in an online plant process. To build the pattern model, the methods and systems define a signature of the operating event, such that the defined signature contains a time series pattern for a KPI associated with the operating event. The methods and systems deploy the pattern model to automatically monitor, during online execution of the plant process, trends in movement of the KPI as a time series. The methods and systems determine, in real-time, a distance score between a range of the monitored time series and the time series pattern contained in the defined signature. The methods and systems automatically detect the operating event in the online industrial process based on the determined distance score, and alter parameters of the process (e.g., valves, actuators, etc.) to prevent the operating event.

Abstract: Embodiments are directed to computer methods and systems that construct a calibrated operation-centric first-principles model suitable for online deployment to monitor, predict, and control real-time plant operations. The methods and systems identify a plant-wide first-principles model configured for offline use and select a modeled operating unit contained in the plant-wide model. The methods and systems convert the plant-wide model to an operation-centric first-principles model of the selected modeled operating unit. The methods and systems recalibrate the operation-centric model to function using real-time measurements collected by physical instruments of the operating unit at the plant. The recalibration may include reconciling flow and temperature, estimating feed compositions, and tuning liquid and vapor traffic flow in the model.

Abstract: A heat exchanger having a plurality of heat exchanger plate pairs. Each plate has a longitudinal central planar portion and a peripheral edge portion extending from it. The plate is provided with a first boss and a second boss having an inlet and outlet, respectively. A rib is also provided extending from the peripheral edge portion to the central planar portion, the rib having a mating surface, where the rib mating surface of a first plate in a first plate pair is in contact with a rib mating surface of a second plate in an adjacent plate pair.

Abstract: The present invention provides methods for preventing the generation of active thrombin on the surface of cells. The present methods are based upon the surprising discovery that expression or activation of an ER resident chaperone protein in a cell inhibits the generation of thrombin on the surface of the cell. Accordingly, expressing or activating an ER resident chaperone protein can be used to treat or prevent any of a number of thrombotic diseases.

Abstract: A block map is associated with a multi-dimensionally clustered (MDC) base table in a database to maintain a “free” or “in use” status for each of the contiguous blocks in the table. Additionally, information may be stored in the block map to indicate whether, after loading data, a given block in the base table requires constraint checking operation or whether, based on changes to the block, a materialized query table dependent upon the table requires a refresh operation. Each time data is loaded into the table, the associated block map is updated. When delayed constraint check or refresh operations are to be performed, the block map is consulted to learn which blocks require the operations. After one of the constraint check or refresh operations is performed, the associated block map is again updated.

Abstract: A block map is associated with a multi-dimensionally clustered (MDC) base table in a database to maintain a “free” or “in use” status for each of the contiguous blocks in the table. Additionally, information may be stored in the block map to indicate whether, after loading data, a given block in the base table requires constraint checking operation or whether, based on changes to the block, a materialized query table dependent upon the table requires a refresh operation. Each time data is loaded into the table, the associated block map is updated. When delayed constraint check or refresh operations are to be performed, the block map is consulted to learn which blocks require the operations. After one of the constraint check or refresh operations is performed, the associated block map is again updated.

Abstract: A method of electroplating an object includes providing a electroplating bath solution with one or more anodes therein, disposing an object to be electroplated in the bath, and passing a complex current waveform between the anode nodes and the object. The waveform is a cyclic alternating type having two portions, a positive triangular shaped portion including one or more spikes and a negative portion. The method further includes vibrating the object and/or agitating the bath solution.

Abstract: The present invention provides methods for preventing the generation of active thrombin on the surface of cells. The present methods are based upon the surprising discovery that expression or activation of an ER resident chaperone protein in a cell inhibits the generation of thrombin on the surface of the cell. Accordingly, expressing or activating an ER resident chaperone protein can be used to treat or prevent any of a number of thrombotic diseases.

Abstract: A three-dimensional ultrasound imaging system includes an ultrasound probe to direct ultrasound waves to and to receive reflected ultrasound waves from a target volume of a subject under examination. The ultrasound probe is swept over the target volume and the reflected ultrasound waves are conveyed to a computer wherein successive two-dimensional images of the target volume are reconstructed to form a three-dimensional image of the target volume. The three-dimensional image is displayed on the monitor of the computer. A user interface allows a user to manipulate the displayed image. Specifically, the entire displayed image may be rotated about an arbitrary axis, a surface of the displayed image may be translated to provide different cross-sectional views of the image and a selected surface of the displayed image may be rotated about an arbitrary axis. All of these manipulations can be achieved via a single graphical input device such as a mouse connected to the computer.

Abstract: An electrically conductive cable is shielded from electromagnetic interference (EMI) with a mesh of aluminum wire that has been treated with a chromate conversion coating. The coating resists corrosion of the aluminum wire and galvanic reaction of the aluminum wire with dissimilar metals, thereby reducing degradation of shield effectiveness due to oxidation and allowing aluminum wire to be used to reduce shield weight in corrosive environments. The mesh may include a less compressible wire, such as tin plated copper, to alleviate cold flow problems.

Abstract: A method of controlling the movement of an articulated arm to permit the arm to move an end point thereof more freely and more directly to a preselected target. This smoother operation is obtained by a computer calculating the change in joint angle using an iterative pseudo inverse Jacobian having a damping factor. The damping factor is adjusted for each iteration based on the distance necessary to reach said preselected target.

Abstract: A hydrophobic gel composition comprises an aluminium stearate, liquid paraffin and polyisobutylene. The gels are prepared by first blending together aluminium stearate and liquid paraffin. The mix is then heated to 180.degree.-200.degree. C. and a quantity of polybutylene preheated to 150.degree. C. is added, after which the composition is allowed to cool slowly to ambient temperature. The compositions are particularly useful in electrical connectors.