Swirski
Chester Swirski, Yorktown, NY US
Patent application number | Description | Published |
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20100273181 | METHODS FOR THE DETECTION OF GLYCATED HEMOGLOBIN - Particular aspects of the present invention relate to methods for detecting glycated hemoglobin in, for example, human whole blood, that are not affected by the presence of variation in amino acid sequence that can exist in hemoglobin β chains. The methods detect all glycated hemoglobin in a sample, regardless of the form of the hemoglobin that has been glycated, and thus detect glycated human Hemoglobin A, Hemoglobin S, and Hemoglobin C. | 10-28-2010 |
Konrad Swirski, Warsaw PL
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20090012653 | USE OF STATISTICAL ANALYSIS IN POWER PLANT PERFORMANCE MONITORING - A technique of implementing performance monitoring in a power plant is appropriate to control operating parameters and factors connected with the efficiency of the energy production process in an energy marketplace that is more complex than in the past, and that takes into account more than just the cost of fuel. In particular, this method works well when the real costs of production are dependent on other variable costs besides the cost of fuel, such as environmental credits, equipment degradation and repair costs, as well as electrical energy trade market factors like ramp rate, LMP factors, and the ability to deliver contracted power levels and spot transactions. The power plant performance monitoring technique applies a statistical analysis to collected power plant data to determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, in whatever state or operating level the plant is run. Because heat rate calculation applications are typically performed on-line, it is possible to analyze collected plant data in detail and to apply for example, principal component analysis (PCA) and linear and nonlinear regression analysis to the data, which enables the performance method to obtain a more accurate detection of the influence of the principal process parameters that affect heat rate deviation (efficiency), as well as to establish baseline or best-possible operational constraints to be used to control the plant in the future. This performance based control methodology will allow for near optimum performance of power plants by constantly allowing for refinement and best practices and control to be realized. | 01-08-2009 |
20110144772 | PROCESS CONTROL AND OPTIMIZATION TECHNIQUE USING IMMUNOLOGICAL CONCEPTS - An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. An integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process. The technique responds to a significant change in the current process state by determining anew set of process control inputs to be provided to the process based on one or more of the stored process control states. | 06-16-2011 |
Yoram Swirski, Kiryat Bialik IL
Patent application number | Description | Published |
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20090297049 | DETECTION OF PARTIALLY OCCLUDED TARGETS IN LADAR IMAGES - A method for detection the presence of a man-made object partially occluded in a natural environment. The method includes the steps of providing an image segment from three dimensional ladar data, grouping one or more coplanar portion of the pixels into a cluster of planar sections, each planar section including three or more pixels, classifying the cluster based on one or more criterion selected from a group of criteria. | 12-03-2009 |