Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: A data module is adapted for mounting to a liquid container, such as a water bottle, a wine bottle etc., for automatically calculating or monitoring the amount of liquid dispensed from the container. The module employs a pair of metal rings which function as a sensor to activate a timer as liquid passes through an outlet opening. The data may be used to calculate the amount of dispensed liquid and may be either stored at the module and/or may be wirelessly communicated from the module.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: Systems and methods for producing three-dimensional ultrasound images are disclosed herein. In one embodiment, ultrasound image data are acquired in discrete time increments at one or more positions relative to a subject. The image data is time stamped relative to an offset to a reference point. The image data is synchronized relative to the reference point and combined to form a loop of three dimensional images.

Abstract: A method of creating an image difference overlay comprises identifying a loop of reference images of a subject and identifying a loop of data images of the subject. The loop of image data can be identified after an event, such as the administration of contrast agent to the subject. A reference loop image frame is compared to one or more data loop image frames and the reference loop frame is associated with a data loop image frame which closely resembles the data loop image frame. Each of the associated frames can then be processed and used to create an image difference overlay frame.

Abstract: A method of creating an image difference overlay comprises identifying a loop of reference images of a subject and identifying a loop of data images of the subject. The loop of image data can be identified after an event, such as the administration of contrast agent to the subject. A reference loop image frame is compared to one or more data loop image frames and the reference loop frame is associated with a data loop image frame which closely resembles the data loop image frame. Each of the associated frames can then be processed and used to create an image difference overlay frame.

Abstract: In an embodiment, an XPath automaton with state look-ahead capability can efficiently determine whether XML documents, received in a stream in serialized form in a network element, match any of a set of XPath expressions. A token processor receives a structured electronic document in serialized format and identifies entities. A name recognition engine recognizes names of elements of the document and recognizes names of attributes of the elements. A finite state automaton comprises states and transitions representing structural relationships among elements and attributes of structured path expressions and state look-ahead logic that is configured to output a final state when an entity matches one or more of the structured path expressions. The automaton performs state transitions resulting in reaching a specified final state if a match to an expression occurs.

Abstract: In an embodiment, an XPath automaton with state look-ahead capability can efficiently determine whether XML documents, received in a stream in serialized form in a network element, match any of a set of XPath expressions. A token processor receives a structured electronic document in serialized format and identifies entities. A name recognition engine recognizes names of elements of the document and recognizes names of attributes of the elements. A finite state automaton comprises states and transitions representing structural relationships among elements and attributes of structured path expressions and state look-ahead logic that is configured to output a final state when an entity matches one or more of the structured path expressions. The automaton performs state transitions resulting in reaching a specified final state if a match to an expression occurs.

Abstract: A method of creating an image difference overlay comprises identifying a loop of reference images of a subject and identifying a loop of data images of the subject. The loop of image data can be identified after an event, such as the administration of contrast agent to the subject. A reference loop image frame is compared to one or more data loop image frames and the reference loop frame is associated with a data loop image frame which closely resembles the data loop image frame. Each of the associated frames can then be processed and used to create an image difference overlay frame.

Abstract: A process for tracing an operator selected feature in an M-mode ultrasonic image comprises selecting a pixel of the selected feature within the M-mode image. A reference region is generated about the selected feature pixel and image intensity values are extracted for the reference region. A time point is selected in the M-mode ultrasonic image wherein the time point is at a different time than the selected feature pixel and a comparison region is generated about the selected time point. Image intensity values are extracted for the comparison region and a difference error is calculated for each location within the comparison region by comparing the reference region image intensity values with the comparison regions image intensity values. The location that has the smallest difference error is identified as a feature pixel at the time point.

Abstract: A method and apparatus for extensible real-time workflows are described. The present invention allows a user of a transaction processing system, such as a customer relationship management (CRM) tool or an automatic call distribution (ACD), for example, to easily add new event sources without recompiling the core workflow server engine of the transaction processing system. The invention also supports features such as the adding of new services, the exchange of events and parameters with other systems, real-time collection and display of workflow statistical information, the use of a centralized configuration database, incremental loading and unloading of workflows and rules, and exception handling.