Abstract: The illustrative embodiments provide for signature discourse transformation. An embodiment includes detecting a signature discourse of a user by analyzing the user's discourse using corpus linguistics. The embodiment also includes generating computing a collection of words distinct to the user. The embodiment also includes sensing, using tone analysis and a natural language process model, a tone of the collection of words distinct to the user in the signature discourse utterance. The embodiment also includes mapping a cartesian value of the collection of words distinct to the user. The embodiment also includes deriving a signature discourse transformation (SDT) model from the signature discourse utterances, the collection of words, the tone, and the cartesian value. The embodiment also includes transforming, using the signature discourse transformation, an original discourse by the user into an anonymized text.

Abstract: Embodiments of the present disclosure provide systems and methods for synchronizing an unaligned audio stream and a corresponding unaligned video stream of real time streaming media. A non-limiting disclosed method comprises performing, using a video classifier, video reference point classification of a video stream based on an audio-video dataset; performing, using an audio classifier, audio reference point classification of the audio stream based on the audio-video dataset. The system correlates object related reference points in video segments of the video stream and in audio segments of the audio stream to identify a set of audio-video synchronization candidates. The system compares context of the set of audio-video synchronization candidates to identify an audio-video synchronization candidate to synchronize the audio stream and video stream based on reference point alignment.

Abstract: A valve capsule assembly for a well includes a body including a first end, a second end, a cavity, and an exterior surface. The body is sized for positioning inside a bore of a casing. A sealing element is coupled to the exterior surface of the body and is configured for sealing with an interior surface of the casing. A cone is movably disposed in the cavity of the body between the sealing element and the second end of the body. A slip coupled to the exterior surface of the body and is movable between a deactivated configuration and an activated configuration, in which the slip is configured to expand and engage with the interior surface of the casing. When the cone is in a first position, the slip is in the deactivated configuration and when the cone is in a second position, the slip is in the activated configuration.

Abstract: Selection of network equipment based on delay for delay critical services (e.g., using a computerized tool), is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for respective distributed units of a group of distributed units of network equipment, respective average downlink delays on an F1-U interface applicable to respective centralized unit user planes of a group of centralized unit user planes of the network equipment, and transmitting, to a centralized unit control plane of the network equipment, delay data representative of the respective average downlink delays.

Abstract: Systems and methods for determining semantic relationships in digital content are provided. Digital content may be processed to detect and extract one or more entities present in at least a subset of the digital content. The entities may include at least one image and at least one body of text. One or more aspects of the entities may be analyzed to filter out a subset of the entities based on a determined importance of the entities to the subset of the digital content. An anchor entity may be determined from one or more remaining entities after the filtering. Relationships between the one or more remaining entities and the anchor entity may be determined, and a presentation pattern for presenting the related entities may be determined. The presentation pattern may be stored to a repository and used as training data to detect future relationships within digital content.

Abstract: Coordinated Multipoint (CoMP) transmission is a potential candidate to optimize the performance of a network with added flexibility to serve a UE from multiple Base Stations (BSs). However, the performance gain in CoMP is as good as the dynamic clustering. The existing approaches are applicable for a fixed cluster size, which does not capture time-varying channel conditions and the cost of transmission. Embodiments herein provide a method and system for a learning based dynamic clustering of BSs for a CoMP transmission in communication networks. Herein, a framework for the CoMP transmission in 5th Generation (5G) and beyond networks is disclosed. Further, an optimal user-centric dynamic clustering technique is disclosed for the CoMP with the aim of maximizing the throughput subject to the constraint on the cost of transmission from the CoMP cluster i.e., coordinating set of BSs.

Abstract: Overload status data transmission to a distributed unit, enabling overload action at distributed unit (e.g., using a computerized tool), is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining an overload state of a centralized unit user plane of network equipment, and transmitting overload status data, representative of the overload state of the centralized unit user plane, to a distributed unit of the network equipment.

Abstract: Data transformation and data quality checking is provided by reading data from a source datastore and storing the data into memory, performing in-memory processing of the data stored in memory, where the data is maintained in-memory for performance of the in-memory processing thereof, and where the in-memory processing includes performing one or more transformations on the data stored in memory, in which the data stored in memory is transformed and stored back into the memory and applying one or more data quality rules to the data stored in-memory, and based on performing the in-memory processing of the data stored and maintained in memory for the in-memory processing, loading to a target datastore at least some of the data processed by the in-memory processing.

Abstract: A processor may receive first sensor data associated with detected movement of a user in an environment. The processor may determine, using an AI model, based on the first sensor data, that the movement of the user is associated with a first object. The processor may retrieve sensory data associated with the first object from a repository. In some embodiments, the sensory data may include at least one of auditory, olfactory, and haptic data associated with historical user interactions with the first object. The processor may provide a first sensory signal to the user to indicate a location of the first object relative to a first location of the user.

Abstract: Systems, methods and/or computer program products for managing the temperature of datacenter during a period of malfunction or inoperability of the cooling system responsible for maintaining temperatures within the datacenter. Temperatures of the datacenter's computing systems are monitored by thermal imaging systems and/or sensors. Computing systems are also monitored for how frequently the systems are accessed during a defined period of time and the number of mission critical deployments by each computing system. Collected parameters, including temperature, frequency of access and number of running mission critical applications are imputed into a scoring algorithm which uses the collected parameters and weightings to generate a ranking of computing systems to shutdown sequentially in response to rising temperatures.

Abstract: A method, a computer program product, and a computer system position a plurality of sensors in an area. The method includes receiving data from the sensors positioned at respective first locations where the data is indicative of weather and environmental parameters. The method includes determining weather conditions and an environmental condition based on the weather and environmental parameters. The method includes determining an impact to the environmental condition by the weather conditions. The method includes determining a second location for the sensors based on the impact to the environmental condition. The sensors are configured to generate further environmental parameters with an increased granular level at the second location. The method includes transmitting instructions to a delivery robot to move the sensors to the second location.

Abstract: A processor may identify that there is a disruption in an environment. The processor may converge a group of two or more devices. The group of two or more devices may be converged in a geofenced area. The processor may limit the usage of the group of the two or more devices to the usage of one of the two or more devices at a time.

Abstract: A computer-implemented method, a computer program product, and a computer system for synchronizing audio and video using pause gap analysis. A computer splits a video into an audio stream and a video stream. A computer identifies time points at which there is no sound in the audio stream and derives pause gaps in the audio stream. A computer applies a binary classifier to predict sound presence or absence in frames of the video stream and derives pause gaps in the video stream. A computer identifies desynchronization between the pause gaps in the video stream and the pause gaps in the audio stream. A computer aligns the pause gaps in the video stream with the pause gaps in the audio stream, based on metadata of the pause gaps in the video stream.

Abstract: Implementations for receiving an integrated digital twin including multiple digital twins, each digital twin including a computer-executable model of a real-world system used to execute a portion of a process, within the integrated digital twin, a first digital twin providing output to generate input to a second digital twin, receiving enterprise data, the enterprise data being provided from a set of real-world systems used to execute the process, executing, by the integrated digital twin module, simulations of the process using the integrated digital twin and one or more agent-based models based on the enterprise data, at least one agent-based model providing input to the first digital twin, determining simulation results from the simulations, the simulation results including a value of at least one objective function, and adjusting one or more parameters of at least one real-world system used to execute the process based on the simulation results.

Abstract: Fifth generation and beyond (5G+) systems are expected to adopt new network architectures, services, and deployment schemes for compatibility with the latest technologies and end user's needs. With increase in user equipment (UE), also come variety of advanced applications and use-cases, wherein each application type has its own KPI requirements. Existing resource allocation schemes in cellular networks are not able to handle such dynamic requirements due to which network slice can lead to unwanted mismanagement of resources. Present application provides systems and methods for application-aware dynamic slicing in radio access network (RAN), wherein RAN slicing is proactively managed by learning historical slice demands and consumptions. Once slices are created, the system allocates resources to user equipment by following optimal inter-slice and intra-slice mechanisms based on application type(s), traffic demand(s) and wireless characteristics of UE.

Abstract: A similarity matrix is generated for different descriptions of one or more things. The similarity matrix includes values that indicate the extent of similarity between different pairs of descriptions. The values of the similarity matrix are clustered to generate a clustered similarity matrix, which include groupings of pair-wise similarities between the different descriptions. Commonalities between the different descriptions are identified using the groupings of pair-wise similarities.

Abstract: This disclosure relates to method and system for improving Wi-Fi performance in co-existing communication networks using learning methodologies. In recent times, most of telecom operators have expressed interest in deploying LTE (Long-Term Evolution) over the unlicensed spectrum. However, simultaneous use of unlicensed band (by operators using LTE and other Wi-Fi) presents coexistence challenges in terms of network performance especially for the Wi-Fi. The disclosed techniques enable improving the Wi-Fi performance in the co-existing communication networks based on learning methodologies. The disclosed techniques improve Wi-Fi performance based on several steps that includes detecting an interfering channel, and further identifying an optimal channel to mitigate the interference caused by the detected interfering channel. The optimal channel is identified based on an optimization technique, wherein the optimization technique is a reinforcement learning technique based on a Q-learning.

Abstract: Web-based opinion survey method, apparatus, and computer-readable media operable to cause propositional function responses to be provided to a survey server from a client device. The propositional functions are P(x), where P and x are the predicate and subject. Each P(x) is evaluated in the client device for subjects, each with a different x. Preferably, the client device displays the subjects within a Web Single Page Application (SPA) running on the client device. Preferably, the SPA displays a nonnumerical scale, the granularity of which is directly proportional to the number of pixels spanned by the scale. For each P(x), the client device displays labeled markers along the scale, to provide an indication of a level of agreement with the expressed P(x). For each P(x) subject, the client expresses an opinion on a position on the scale, whereby a pixel position corresponds to a rating for the selected subject.

Abstract: A method, computer system, and a computer program product for environment mapping is provided. The present invention may include generating a digital twin, wherein the digital twin is a digital representation of a smart building. The present invention may include applying the digital twin to a second building. The present invention may include providing an implementation assessment, wherein the implementation assessment includes at least the environmental impact of preferences of a user in the second building.

Abstract: A method for dynamically rearranging one or more packages for delivery on a delivery vehicle in response to unforeseen changes in a pre-planned delivery route. The method detects, via one or more sensor-enabled shelves in a delivery vehicle, an address and package details of a respective delivery package. The method further integrates the one or more sensor-enabled shelves with a route map that depicts the pre-planned delivery route. The method further assigns new values to the one or more sensor-enabled shelves, in response to a change in the pre-planned delivery route, indicating a new sequence of delivery for each respective delivery package. The method further notifies a delivery person which delivery package is to be delivered at a current stop by illuminating the one or more sensor-enabled shelves containing the respective delivery package.