Abstract: Sharing data by defining a data encoding table, maintaining a data record database, defining a data encryption code, providing the data encryption code with an outgoing call, receiving an audio response including encrypted data, decrypting the encrypted data, and updating the data record database according to the data.

Abstract: According to one embodiment, a computer-implemented method includes collecting data corresponding to an image of one or more objects captured by a user on an image capture device, wherein the data comprises biometric data, emotion data, image quality data, and context data. In addition, the computer-implement method includes determining an image quality (IQ) value based on the image quality data, determining an emotion (E) value based on at least one of the biometric data and the emotion data, and determining a relationship (R) value between the one or more objects and the user based on the context data. The computer-implement method includes calculating an Overall Emotional Image Quality Score (OEIQS) for the image based on the IQ value, the E value, and the R value, and categorizing the image into at least one of a plurality of predefined categories.

Abstract: A system, method, and computer program product for managing flood risk analysis. The system includes at least one processing component, at least one memory component, and a data manager configured to define a ledger for a zone, and extract flood data for the zone from at least one information source. The system also includes a risk analyzer configured to generate flood attribute values based on the extracted flood data. The risk analyzer is also configured to calculate a zone risk score based on these values, determine that the zone risk score is above a threshold risk score, and in response, instruct the data manager to add a block to the ledger.

Abstract: A method for protecting content of online conversational content. The method provides for scanning content of an online conversational exchange between a first device and a second device. A sensitive object included in the content of the online conversation exchange is identified, based on object type information accessible from a protection policy included in respective user profiles. A pseudonymized-object-holder is assigned to the identified sensitive object according to the protection policy of the respective user profiles, and the identified sensitive object identified in the content of the online conversation exchange and stored on both the first device and the second device is replaced with a pseudonymized-object-holder, based on the sensitive-object protection policy of the respective user profiles.

Abstract: A movement notification is received from a display. The movement notification corresponds to a movement. A set of movement frames that reflect the movement is rendered by a graphical processing unit. The set of movement frames is transmitted to the display. A notification that the movement has ceased is received from the display. A stop command is transmitted to the display. The stop command instructs the display to not display the first subset of frames in the set of movement frames. The first subset of frames reflects the end of the movement.

Abstract: Methods and systems for cognitive font enrichment management for adding system fonts are provided. A system for providing cognitive font enrichment management for adding system fonts includes a monitoring module that monitors web font operations. The system also includes a font conversion module that identifies a web font associated with a new glyph that is not described in a local system font repository and converts the identified web font associated with the new glyph into a default system font format. Further, the system includes a validation module that validates the converted web font associated with the new glyph. Additionally, the system includes an update module that updates the local system font repository with the validated converted web font associated with the new glyph.

Abstract: A method, apparatus and computer program product for dynamically grouping browser tabs in a web browser user interface is described. The web page content of a plurality of open web page tabs in a web browser displayed on a display of a computer are analyzed. Sets of tab group criteria, each set of tab group criteria for a respective tab group and based on user intent are used to evaluate the web page content. Based on the analyzing, which ones of the plurality of open web page tabs respectively satisfy a set of tab group criteria are determined. The plurality of open web page tabs is grouped into respective tab groups based on the determination. The tab groups are presented in the web browser display. Each tab group display contains tabs representing a subset of the plurality of open web page tabs which satisfy a respective set of tab group criteria.

Abstract: Methods, apparatuses, and computer program products for multilingual simultaneous interpretation using a distributed ledger are disclosed. A multilingual interpretation server determines that a new word has been added to a first language node, the first language node corresponding to a first language, and broadcasts, to a plurality of other language nodes, a request to interpret the new word, wherein each of the plurality of other language nodes corresponds to a different language. Each of the plurality of language nodes interprets the new word into a particular language and adds the new word and one or more interpretations of the new word to an entry in a dictionary ledger. A multilingual interpretation service provides simultaneous multilingual translations of from a source language to a plurality of target languages using the shared distributed dictionary ledger. A multilingual interpretation client is provided for accessing services provided by the multilingual interpretation service.

Abstract: A first image may be received by a processor. The processor may identify an image quality measure of which to evaluate the first image. The processor may compare the first image to one or more images. The processor may generate a first image quality score for the first image based on the comparing. The processor may convert the first image quality score into a first micro air-quality index. The processor may transmit the first micro air-quality index to a recording device. Additionally, a recording device may capture a first image. The recording device may send the first image to a database that may include a model associated with an image quality measure. The recording device may receive a first micro air-quality index associated with the image quality measure. The recording device may rearrange a display of the first image to display the first micro air-quality index.

Abstract: A method of estimating an indoor lighting condition includes acquiring an image from a camera at a location within an indoor space at a selected time, determining the location from which the image is taken, and estimating an outdoor sunlight density based on the location and the selected time. The method also includes collecting a plurality of daylight factors, each daylight factor of the plurality of daylight factors corresponding to a characteristic of the indoor space, calculating an indoor daylight index for the indoor space in real time based on the outdoor sunlight density and the plurality of daylight factors, and presenting the indoor daylight index to a user in real time.

Abstract: Embodiments describe an approach for concurrently managing a video display and an application user interface. Embodiments describe generating a translucent mask video display over a computer-implemented application and displaying a video in the translucent mask video display over the computer-implemented application. Additionally, embodiments describe detecting user activity associated with the computer-implemented application and pausing the video in the translucent mask video display when the user activity is detected. Responsive to an end to the user activity, embodiments describe translating the detected user activity as a set of computer operations, outputting the set of computer operations for performance on the computer-implemented application, and resuming the video in the translucent mask video display.

Abstract: Implementations of the present disclosure relate to methods, systems, and computer program products for multimedia object management. In one implementation, a computer-implemented method is disclosed and the method may be implemented by one or more processors in a computer. In the method, a graphic pattern indicating a request for searching in a repository for at least one target object may be received. A search condition may be obtained from the received graphic pattern by a graphical analysis. Based on an association model indicating associations between the search condition and at least one feature of one or more objects in the repository, at least one target object may be found according to the obtained search condition. In other implementations, a computer-implemented system and a computer program product for searching for at least one target object is disclosed.

Abstract: An augmented reality system collects sensory data from one or more user devices in a manner that is transparent to the user's augmented reality experience. A customer of an augmented reality system requests sensory data at a specified location. The augmented reality system modifies the augmented reality experience for one or more users to move someone to the specified location. The user device(s) collect the sensory data at the specified location in a manner that is transparent to the augmented reality experience of the user(s). The sensory data is uploaded from the user device(s) to the augmented reality system, which sends the sensory data to the customer.

Abstract: Aspects of the present invention disclose a method for analyzing data from a plurality of data sources. The method includes extracting features of data received from a first source and from a second source by analyzing the data received from the first source of data and from the second source. The method includes processors determining a topic modeling framework, wherein the topic modeling framework detects a semantic structure of the features of the data received from the first data source and the second source. The method includes processors applying the topic modeling framework to the data received from the first source of data the second source of data. The method includes generating a final entity output, wherein the final entity output includes a cluster of entity mentions that the applied topic modeling framework extracts from the first source of data and the second source of data are combined.

Abstract: A first method includes identifying a potential emoji annotation for a selected context within a text source, validating the potential emoji, determining whether the validated emoji annotation is within an emoji annotation list for the selected context, and adding the validated emoji annotation to the emoji annotation list for the selected context responsive to determining that the validated emoji annotation is not within the emoji annotation list for the selected context. A second method includes adding an emoji annotation written in a first language to an emoji annotation list corresponding to the first language, translating the emoji annotation written in the first language to a second language to produce an emoji annotation written in the second language, and adding the emoji annotation written in the second language to an emoji annotation list corresponding to the second language. Corresponding apparatii, computer program products and computer systems are also disclosed herein.

Abstract: A method for managing personal communication data, wherein the personal communication data including a plurality of chat histories from a plurality of chat applications is provided. The method may include converting a first chat history from a first application and a second chat history from a second application into an integrated unified format, whereby the second application is different from the first application. The method may also include storing the integrated unified format into an indexed storage. The method may further include providing a user interface (UI) to access the integrated unified format via the indexed storage.

Abstract: A method and system for tracking and targeting particular energy sources in an electrical grid is provided. A processor stores information regarding units of produced energy as transactions in a blockchain. A processor receives, from an endpoint device of a plurality of endpoint devices connected to a power grid, a request for a unit of energy represented in the blockchain. A processor sends an indication, to the endpoint device, that the endpoint device is permitted to consume the unit of energy from the power grid. A processor updates the blockchain to record the consumption of the unit of energy.

Abstract: A combined translation request is obtained that includes content of a first language to be translated to a second language combined with translation context information of a user for which translation is to be performed. The content is translated, using machine translation, from the first language to the second language based on the translation context information to provide a translation. The translation is adjusted based on one or more identified translation factors selected based on user feedback to provide an adjusted translation. The adjusted translation is provided to the user.

Abstract: A payment card system for authorization and authentication is provided. A computing device monitors one or more transactions to detect various security threats comprising one or more accounts. A computing device determines to elevate a security level associated, at least, with one account based, at least, in part, on detection of, at least, one security threat. A computing device generates at least one temporary personal identification number based, at least, on determination to elevate a security level associated, at least, with one account.

Abstract: Managing vehicle operations according to driver behavior by: defining a multi-dimensional preemptive driver daily behavior (PDDB) data structure; defining a PDDB abnormal behavior criteria; and defining a PDDB abnormal behavior algorithm. Further, by: collecting PDDB data; acquiring a PDDB assessment according to the PDDB analysis; and preemptively communicating driver vehicle-access instructions according to the PDDB assessment.