Abstract: Various soap dispensers are disclosed. Certain embodiments include a housing, reservoir, pump, motor, sensor, electronic processor, and nozzle. In some embodiments, the pump comprises a peristaltic pump. In certain embodiments, the sensor can be configured to generate a signal based on a distance between an object and the sensor. In certain embodiments, the electronic processor can be configured to receive the signal from the sensor and to determine a dispensation volume of the liquid, such as based on the distance between the object and the sensor. The processor can be configured to control the motor to dispense approximately the dispensation volume of the liquid.

Abstract: Embodiments herein provide methods and systems for providing selective disparity refinement. The embodiments include detecting objects of interest of type similar to a type of a point of interest in an image. Disparity values may be determined for the point of interest and the objects of interest in the captured image. Objects of interest may be selected with disparity values within a disparity value threshold range, wherein the disparity value threshold range is based on disparity value of the point of interest. The embodiments include performing a redistribution of disparity values of objects in the image with disparity values not within the disparity value threshold range. The embodiments include assigning a disparity value to the selected objects of interest based on the disparity value of the point of interest, to achieve selective disparity refinement.

Abstract: A machine learning system including a continuous embedding output layer is provided. Whereas traditional machine language translation or generation models utilize an output layer that include an single output for each word in the output vocabulary V, the present machine learning system includes a continuous embedding output layer that stores continuous vectors mapped to an m-dimensional vector space, where m is less than V. Accordingly, the present machine learning system processes an input string to produce an output vector and then searches for the continuous vector within the vector space that most closely corresponding to the output vector via, for example, a k-nearest neighbor algorithm. The system then outputs the output string corresponding to the determined continuous vector. The present system can be trained utilizing a cosine-based loss function.

Abstract: A device may obtain incomplete geospatial coordinate data associated with a telecommunications network. The device may generate a network graph representation of the telecommunications network based on the incomplete geospatial coordinate data. The device may determine, for candidate sites, a candidate site score based on a quantity of candidate segments to connect the candidate site to a candidate hub. The device may determine, for candidate segments, a candidate segment score based on a quantity of candidate sites that connect to a candidate hub via the candidate segment. The device may determine a prioritization of the candidate segments based on the candidate site scores and the candidate segment scores. The device may generate a recommendation for selecting or ordering the candidate segments. The device may provide the recommendation for display via a user interface.

Abstract: A method and system for assisting a user in preparing a response to an electronic communication, such as an email, are disclosed. The system includes a context analyzer, a context repository, a sentential template repository, and an auto-draft builder. The auto-draft builder uses information from the sentential template repository and context repository to prepare a proposed response to the electronic communication.

Abstract: A method and a device for performing beam forming are provided. The method includes determining plural obstruction free beam windows (OFBWs). Ranking values are determined for the OFBWs based on a ranking parameter. X OFBWs are selected from the plural OFBWs based on the ranking values that are determined, where X is a natural number determined randomly by a randomizer. One or more beams are formed based on the selected X OFBWs.

Abstract: A method for determining a physical characteristic of an object is provided. The method includes recognizing, by an electronic device, an object in a candidate image. Further, the method includes extracting, by the electronic device, a plurality of candidate parameters of the recognized object in the candidate image. Further, the method includes determining, by the electronic device, physical characteristics of at least one portion of the recognized object in the candidate image by comparing the plurality of candidate parameters with a plurality of reference parameters of a reference object in a reference image. Further, the method includes storing, by the electronic device, the physical characteristics of the at least one portion of the recognized object.

Abstract: Disclosed is a system and method for biometric authentication of a user using a personalised identification and associated biometric data. In one embodiment, a plurality of personalised identifiers and biometric data may be captured from a number of users and stored in a repository as stored records. The authentication process may be divided into two phases. In the first phase, either a speech recognition or character recognition process may be applied in order to determine the text spoken or written by the user. Subsequently a few records may be fetched from the repository on the basis of text mapping. In the second phase, biometric authentication may be performed by comparing the biometric sample with the stored biometric data corresponding to the fetched records to uniquely identify a single user. Further a machine learning technique may be applied in order to periodically refine a plurality of models stored in the repository.

Abstract: Methods, information handling systems and computer readable media are disclosed for prioritizing communications. In one embodiment, a method includes receiving, at a communications prioritization engine including a processor, communication data reflecting a communication. The communication data comprises source information representing a source of the communication. This method embodiment further includes identifying subject characteristic information within the communication data, and determining a subject characteristic score component using the subject characteristic information. The embodiment further includes determining a source score component using the source information and determining a response priority score using the subject characteristic score component and the source score component.

Abstract: A method and a system for operating a flexible computing-device is provided. The method is executed by the system and includes determining at least one bending axis of a computing-device based on a type of application selected by a user. Based on an activation-instruction received from the user, a bending-axis selected from one or more bending axis is also activated. Further, at least one user-input directed to the device is received, based upon which a user-interface of the application uniquely linked to the activated bending-axis is rendered. Such user-interface has at least one designated-control to operate the application.

Abstract: A method and device for reviewing audio content are provided. The method includes using a digital assistant on a device to review audio content (e.g., recorded audio information and/or text converted to speech) in a preferred tone and/or at a preferred rate. The digital assistant can also provide video, images, and/or web links during playback of the audio information to further assist a listener.

Abstract: A machine learning system including a continuous embedding output layer is provided. Whereas traditional machine language translation or generation models utilize an output layer that include an single output for each word in the output vocabulary V, the present machine learning system includes a continuous embedding output layer that stores continuous vectors mapped to an m-dimensional vector space, where m is less than V. Accordingly, the present machine learning system processes an input string to produce an output vector and then searches for the continuous vector within the vector space that most closely corresponding to the output vector via, for example, a k-nearest neighbor algorithm. The system then outputs the output string corresponding to the determined continuous vector. The present system can be trained utilizing a cosine-based loss function.

Abstract: Articles and methods involving pasting papers and/or capacitance layers are generally provided. The pasting paper may comprise a capacitance layer, and/or a stand-alone capacitance layer may be provided. In some embodiments, a pasting paper may comprise a plurality of cellulose fibers, a plurality of multicomponent fibers, and a plurality of glass fibers. In some embodiments, a pasting paper may comprise a plurality of conductive species, a plurality of capacitive species, and/or a plurality of inorganic particles. In some embodiments, a pasting paper may be disposed on a battery paste, such as a battery paste for use in a lead-acid battery. In some cases, forming a battery plate may comprise disposing a pasting paper on a battery paste. In some cases, a lead-acid battery may be assembled by assembling a first battery plate comprising a pasting paper with a separator and a second battery plate.

Abstract: The disclosure relates to method and device for beam forming in cellular communication systems. In accordance with one embodiment, the device selects at least one obstruction free zone and at least one obstruction free beam window, the at least one obstruction free beam window being selected within the at least one obstruction free zone. The device forms at least one beam based on said at least one obstruction free beam window thus selected.

Abstract: The embodiments herein provide a method for performing an operation in an electronic device. The method includes displaying at least two objects. Further, the method includes identifying a gesture on the at least two objects. Further, the method includes displaying at least one content for performing at least one operation relative to the at least two objects according to a level corresponding to the gesture among a plurality of levels.

Abstract: Embodiments herein provide methods and systems for providing selective disparity refinement. The embodiments include detecting objects of interest of type similar to a type of a point of interest in an image. Disparity values may be determined for the point of interest and the objects of interest in the captured image. Objects of interest may be selected with disparity values within a disparity value threshold range, wherein the disparity value threshold range is based on disparity value of the point of interest. The embodiments include performing a redistribution of disparity values of objects in the image with disparity values not within the disparity value threshold range. The embodiments include assigning a disparity value to the selected objects of interest based on the disparity value of the point of interest, to achieve selective disparity refinement.

Abstract: A system for vehicle navigation may include a recognition circuit and a navigation circuit. The recognition circuit may determine a vehicle type based on received vehicle data. The navigation circuit may retrieve a navigation route between a starting location and a destination location, and modify the navigation route based on the determined vehicle type. The navigation circuit may also display a portion of the modified navigation route associated with a current location of the vehicle. The displayed portion of the navigation route may provide speed limit information based on the determined vehicle type. The recognition circuit may determine dimensions of the vehicle based on the vehicle data. The navigation circuit may determine parking information along the navigation route, based on the vehicle dimensions.

Abstract: A data processing system for reconciling electronic transaction data is disclosed. The data processing system comprises: a computer processor and a data storage device, the data storage device storing instructions operative by the processor to: receive refund transaction data indicating a refund transaction, the refund transaction data comprising an indication of an original transaction and an indication of a refund amount; look up original transaction data for the original transaction in a payment transaction database; generate reconciled transaction data from the refund transaction data and the original transaction data; and provide the reconciled transaction data to a user device.

Abstract: A method for processing a cross-border payment includes receiving inbound payment data from a first financial institution located in a first country. The inbound payment data is in a first message format. The method further includes generating a payment request based on the inbound payment data such that the payment request is in the second message format, and processing the generated payment request. Processing comprises approving or declining the payment request. If the payment request is approved, the method further includes generating outbound payment data such that the outbound payment data is in the first message format, and sending the outbound payment data to a second financial institution located in a second country. A system for processing a cross-border payment is also provided.

Abstract: Data processing systems and methods for authenticating users are disclosed. In one embodiment a data processing system for authenticating a user of a device comprises: a computer processor and a data storage device, the data storage device storing instructions operative by the processor to: determine authentication capabilities of the device, the authentication capabilities of the device comprising one or more authentication methods; determine a set of authentication options using the authentication capabilities of the device; send an indication of the set of authentication options to the device; receive an indication of a user selected authentication method from the device; generate an authentication data request corresponding to the user selected authentication method; send the authentication data request to the device; receive an authentication response from the device; and authenticate the user using the authentication response.