Abstract: The invention relates to remote activation of a communication module of a self-powered intelligent electronic device (IED). The IED controls an auto recloser mounted on an electric pole of a power distribution network. A controller of the IED, receives an activation signal from a trigger source, positioned within a predefined distance from the IED, through an optical sensor to activate the communication module. A control signal is generated, upon the controller of the IED detecting the activation signal, for powering the communication module from a power supply module. The power supply module is enabled to power the communication module for a duration controlled with the control signal. The communication module is activated for communicating a plurality of data associated with the IED to a remote communication device upon enabling the power supply module for the communication module.

Abstract: The present invention relates to a melt composite comprising one or more curcuminoids and a carrier selected from rice bran extract, mannitol, maltodextrin and mixtures thereof. The invention also provides a process for preparation of the melt composite, wherein the mixture of curcuminoids, rice bran extract, mannitol, maltodextrin and mixture thereof may be subjected to controlled conditions of heating and granulation. The melt composite may also be optionally comprised of one more excipient suitable for use for human consumption. Curcuminoid composites can be formulated in suitable solid, liquid or semisolid compositions. Curcuminoid composites and the compositions thereof, exhibit rapid dissolution and enhanced bioavailability.

Abstract: A system generates trade deduction settlement rules and associated confidence scores independent of buyer specifications. A machine learning equipped rewards based method performed by the system analyzes historically matched deductions and promotions to understand patterns. Penalties are applied to outdated rules, and recent trends are promoted through rewards. All available deduction-promotion combinations may be analyzed in batches for a given time period at each pair level within an artificial intelligence model of the method. A rules selector selects the most recurring patterns along those combinations based upon definable thresholds. The system finds hidden patterns to provide suggestions for trade deduction settlement. The system further captures the rules and evolves the rules over time.

Abstract: A wearable and customizable multi-shell MEG helmet comprising an inner shell and outer shell, wherein the inner shell interior surface is customized to conform to the patient's head shape so that the helmet assembly moves in unison with the patient's head movement and sensor locations are controlled and remain fixed relative to the brain. This invention improves data quality and user comfort since head movements may be permitted and their effects on data integrity is minimized. The outer shell is generic and may fit over any customized inner shell. The outer shell holds a group of sensors, which may be, but not limited to, optically pumped magnetometers. This generic outer shell may mate with the inner shell, allowing sensors to be easily pushed into the inner shell to be in closer proximity to the patient's head.

Abstract: A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Abstract: This disclosure relates to the field of zero-field paramagnetic resonance magnetometer (ZF-PRM). A sensitive ZF-PRM capable of measuring magnetic field in three orthogonal directions simultaneously and method of measuring magnetic field in three orthogonal directions is described. The ZF-PRM provides three independent output signals proportional to the three orthogonal vector components of the magnetic field using a single vapor cell, thus reducing complexity and cost of the magnetometer. Because all three magnetic components are measured at substantially the same location at the same time, the accuracy of data is greatly increased.

Abstract: A computing device performs a method for predictive resource request hold and proactive hold resolution. The method includes: predicting a request for a resource from a requestor; predicting a hold on fulfilling the request; and determining a preventative action to minimize actualization of the hold on fulfilling the request. Predicting the request for the resource and predicting the hold can be performed using artificial intelligence. The preventative action can include temporarily increasing a credit limit for the requestor. Where the hold is actualized, the method can further include predicting a likelihood of the hold being released and determining whether to release the hold based on whether the likelihood of the hold being released exceeds a release threshold.

Abstract: A system generates trade deduction settlement rules and associated confidence scores independent of buyer specifications. A machine learning equipped rewards based method performed by the system analyzes historically matched deductions and promotions to understand patterns. Penalties are applied to outdated rules, and recent trends are promoted through rewards. All available deduction-promotion combinations may be analyzed in batches for a given time period at each pair level within an artificial intelligence model of the method. A rules selector selects the most recurring patterns along those combinations based upon definable thresholds. The system finds hidden patterns to provide suggestions for trade deduction settlement. The system further captures the rules and evolves the rules over time.

Abstract: Systems are provided to utilize machine learning to identify abnormal event resolutions and provide guidance for resolution. For example, in a two-way event system, a normal response will typically close the loop on an initially generated event. However, there are cases where processing of the event uncovers contingent response strategies. In an accounting implementation, machine learning techniques are used to identify the potential of a deduction to be invalid. Machine learning algorithms are trained based on historical deductions and their resolution attributes. Models may further be used to predict whether a deduction is valid or invalid. Contingencies addressed include shortages, pricing adjustments, promotional activity, and other types of deductions that may occur in a provider, supplier, and consumer account resolution system. Automation allows focus on invalid deductions and may automatically close non-cost effective events as having been resolved without further inquiry or research.

Abstract: Provided techniques manage and predict future events. For example, in a payment implementation, a supplier, at any given point in time, has multiple customer debtors that may owe payments (e.g., have outstanding invoices). Utilizing historical attributes for a given customer debtor payment predictions may be determined. By analyzing outstanding debts associated with this debtor customer an amount owed may be calculated and a predicted payment (e.g., a payment that has not yet been indicated by that debtor customer) created. Events may be provided to a second system to correlate predictions across multiple debtor collectors. Correlated information may be used to predict cash flow needs of an organization. Alternatively, optimization of help desk systems may be provided based on predictions from analysis of multiple events in an Event-driven feed back system. Provided techniques may be generalized to other applications as well.

Abstract: An apparatus is provided for bending a pipe and checking a bent shape of the pipe. The apparatus includes a bender for forming a bend in the pipe and at least two cameras for determining an alignment of the pipe in proximity to the free end of the pipe.

Abstract: An endoscopic stent for implantation in a patient after sleeve gastrectomy or biliopancreatic diversion with duodenal switch or biliopancreatic diversion with duodenal switch comprising a stent portion, the stent portion comprising a proximal end portion, the proximal end portion defined by a length of about 50 mm to about 200 mm, an enlarged middle portion, a middle portion having an enlarged diameter relative to the proximal end portion and the distal end portion and defined by a length of about 20 mm to about 80 mm, and a distal end portion and a polymeric sleeve portion engaged to and extending distally from the distal end portion of the stent.

Abstract: A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Abstract: The invention relates to a method for allowing a configuration change of an Intelligent Electronic Device (IED) of a power system, wherein the configuration change affects an operation of the IED. The method comprises receiving a request at the IED for the configuration change, wherein the request comprises a configuration change signal. The configuration change signal is received at the IED in response to establishing a connection between an I/O module of the IED and a signalling component. The method further comprises verifying the request automatically by the IED, wherein verifying the request comprises detecting a predetermined signal pattern at the I/O module upon receiving the configuration change signal, wherein the predetermined signal pattern is stored in a memory associated with the IED. In addition, the method comprises enabling the configuration change in response to successful verification of the request by the IED.

Abstract: An apparatus is provided for bending a pipe and checking a bent shape of the pipe. The apparatus includes a bender for forming a bend in the pipe and at least two cameras for determining an alignment of the pipe in proximity to the free end of the pipe.

Abstract: A two-stage laser stabilization method is described to simultaneously servo two coupled laser parameters that control the wavelength of a laser, such as the laser injection current and the laser temperature, in order to simultaneously stabilize the laser frequency and output power. Two error signals are generated by passing the laser light through a frequency discriminator, such as an atomic resonance, to generate two control loops for the two coupled laser parameters. A primary control loop servos the faster laser parameter, such as the laser injection current, by direct use of the error signal. A secondary slower control loop ensures that this said error signal will remain at zero, by controlling the second laser parameter, such as the laser temperature.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A calibration system and method is described to continuously measure and adjust several parameters of a magnetic imaging array. One or more non-target magnetic field source(s) are used to generate a well-defined and distinguishable spatial magnetic field distribution. The magnetic imaging array is used to measure the strength of the non-target magnetic fields and the information is used to calibrate several parameters of the array, such as, but not limited to, effective magnetometer positions and orientations, gains and their frequency dependence, bandwidth, and linearity. The calibration can happen continuously or periodically, while the imaging array is operating to create magnetic field images, if the modulation frequencies for calibration are outside the frequency window of interest.