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.

Abstract: In one embodiment, a system includes a processing circuit and logic integrated with the processing circuit, executable by the processing circuit, or integrated with and executable by the processing circuit. The logic is configured to cause the processing circuit to receive an expression sticker having metadata associated therewith and analyze the metadata to determine whether an augmented feature is specified by the metadata. The augmented feature is intended to be output in conjunction with display of the expression sticker. The logic is also configured to cause the processing circuit to output the expression sticker to a display of a first device and trigger a corresponding augmented unit of the first device to output the augmented feature in response to a determination that the augmented feature is specified by the metadata. Other systems, methods, and computer program products for augmented expression sticker management are described in accordance with more embodiments.

Abstract: A computer receives a hotspot and a corresponding incentive, where the hotspot is a geolocation for collecting the weather data. The computer presents the received hotspot and the corresponding incentive to a user. The computer receives the weather data from the drone, transmits the weather data to a server, and updates a scorecard with the incentive corresponding to the hotspot based on determining that the drone reached the hotspot.

Abstract: A computer-implemented method includes generating, by a computer device, a plurality of clusters of unmanned aerial vehicles (UAVs) from a plurality of UAVs having different UAV characteristics, the clusters being generated based on the UAV characteristics of each of the UAVs; determining, by the computer device, task characteristics for a first task; selecting, by the computer device, one of the clusters based on the task characteristics of the first task; assigning to the first task, by the computer device, a first UAV of the plurality of UAVs from the selected cluster; receiving, by the computer device, task feedback regarding an attempt by the first UAV to complete the first task; and reassigning, by the computer device, and based on the task feedback, the first UAV to a determined one of the plurality of clusters.

Abstract: A method of cognitive translation integrated with context sensitive derivations is provided. The method is implemented via a cognitive translation engine that receives, from an integrated development environment, program-integrated information relationships with respect to a message package. The program-integrated information relationships includes the context sensitive derivations. The cognitive translation engine translates program-integrated information translation requests from a source language into a target language according to the context sensitive derivations. The program-integrated information translation requests are embedded with program-integrated information relationships.

Abstract: A computer system provides intelligent context-based control of air flow. An identity of a user and a location of the user within an area that includes one or more vents associated with a climate control system are identified. User preferences are determined based on the identity of the user. Characteristics of air flow in the area are adjusted based on the user preferences the user and the location of the user, wherein the characteristics of the air flow comprise one or more from a group of: a direction, and a flow rate. Embodiments of the present invention further include a method and program product for providing intelligent context-based control of air flow in substantially the same manner described above.

Abstract: A computer-implemented method includes receiving a respective indication of each of two or more clouds. The two or more clouds are added to a user account. A first file is received for storage in the user account. The first file is split into a plurality of data blocks. The plurality of data blocks of the first file are distributed across the two or more clouds. An indication of a respective location of each data block of the first file is saved.

Abstract: A method, computer program product, and a system where a processor(s), subject to obtaining permission, monitors browsing activity of an application browsing sources, including analyzing the sources to identify keywords and calculate densities of the keywords in content accessed at the sources. The processor(s) retains the keywords and the densities of the keywords in the content accessed at the sources in an historical record. The processor(s) downloads a resource of data and metadata from a source. The processor(s) updates the metadata of the resource based on keywords and densities of the keywords in the resource and source. The processor(s) determines a destination for the downloaded resource, based on selecting the destination comprising a highest percentage of attributes matching the updated metadata.

Abstract: A computer-implemented method according to one embodiment includes receiving, at a server device, characteristics of a plurality of historical events from a plurality of client devices, receiving, at the server device, historical data sharing behavior associated with the plurality of historical events from the plurality of client devices, saving, by the server device, the characteristics of the plurality of historical events in association with the historical data sharing behavior, and automatically implementing, by the server device, one or more data sharing actions in response to an initialization of an event, utilizing the characteristics of the plurality of historical events and the historical data sharing behavior.

Abstract: Interactive augmented reality system is provided. A first geographical location and a first environmental characteristic is monitored by a user device. A viewpoint of the user device is determined based, at least in part, on (i) the first geographical location and (ii) the first environmental characteristic. A digital image request is generated based, at least in part, on (i) the first geographical location and (ii) the first environmental characteristic. A digital image is identified from a database based, at least in part, on (i) a second geographical location and (ii) a second environmental characteristic associated with the digital image request. In response to identifying the digital image based, at least in part, on the digital image request populating the user device with the digital image.

Abstract: A method can include obtaining vehicle data corresponding to an autonomous vehicle. The autonomous vehicle can include a vehicle controller configured to control a set of driving maneuvers of the autonomous vehicle. The method can further include obtaining accident condition data based, at least in part, on the vehicle data. The accident condition data can include a first set of driving conditions under which a vehicle accident occurred. The method can further include generating an accident condition record based, at least in part, on the accident condition data. The method can further include determining that the vehicle controller is not trained to control the set of driving maneuvers of the autonomous vehicle under the first set of driving conditions. The method can further include generating, in response to the determining, a pending test case based, at least in part, on the accident condition record.

Abstract: Embodiments of the present invention describe creating a mesh network of autonomous vehicles. Embodiments describe, for a set of autonomous vehicles configured to perform joint tasks, creating a plurality of subset networks of autonomous vehicles based on geographical proximity, wherein the plurality of subset networks of autonomous vehicles overlap to form a mesh network of autonomous vehicles, and wherein the mesh network of autonomous vehicles and the subset networks of autonomous vehicles support a non-centralized task assignment feature to assign tasks to autonomous vehicles in the mesh network. Additionally, embodiments describe sending a status signal to a first autonomous vehicle in the mesh network via a second autonomous vehicle in the mesh network, wherein the first autonomous vehicle is in a same subset network of autonomous vehicles as the second autonomous vehicle.