Abstract: A computer-implemented method for computing workload management includes collecting power usage information from a location and collecting computing task information with respect to computing tasks performed at the location. The collected computing task information can be parsed to get a predicted approximate power usage information for each task. The tasks can be scheduled based on the predicted approximate power usage information to improve (e.g., maximize) usage of power from an unstable power source.

Abstract: A method, computer program product, and computer system are provided for recognizing animation through optical character recognition (OCR). Data corresponding to a video or animation containing one or more frames is received. Individual frames or representative images are extracted from the received data. Text in the extracted individual frames or representative images is recognized based on performing optical character recognition on the extracted individual frames or representative images. Relationships between the recognized text across multiple frames of the one or more frames are recognized. A textual or graphical representation of the video or animation is generated based on the identified relationships.

Abstract: Embodiments analyze a query pattern of an incoming query on a database, perform a semantic analysis of the query pattern of the incoming query, generate a re-write query that has an improved query performance in comparison to a query performance of the incoming query based on the analyzed query pattern and the semantic analysis; build a query model using machine learning based on at least one of the query pattern and the semantic analysis; and apply the re-write query by performing the re-write query on the database to provide the improved query performance.

Abstract: Rendering digital twin include receiving metrics associated with a physical entity, the metrics received using an established real-time data synchronization protocol. The received metrics is analyzed. Based on the analysis of the received metrics, digital twin corresponding to the physical entity is updated, the digital twin being a virtual representation of the physical entity.

Abstract: A computer-implemented method to automatically adjust a view of a video stream to focus on a relevant item. The method includes monitoring activity in video feed of a video conference. The method further includes identifying, in the video feed, an item that a user is interacting with during the video conference. The method also includes determining a relevance score for to the item, where the relevance score represents a likelihood the item is a focus of the video conference. The method includes determining the relevance score is above a relevance threshold for the item. The method also includes adjusting, in response to the relevance score being above the relevance threshold, a focus the video feed, where the adjusting is configured to focus on the item.

Abstract: In several aspects, a computing device analyzes data to determine its characteristics. The computing device selects at least one compression process based on the characteristics. A compression switch and a compression level are dynamically adjusted based on multiple factors including available system resources, desired storage savings and performance requirement. The compression level dynamically varies depending on the data being processed and a workload on a system. Performance of compression and decompression operations are continuously monitored for dynamically adjusting compression parameters to optimize performance.

Abstract: A computer-implemented method, system, and computer program product for adapting scripts from a source platform to be utilized in a target platform when porting. Traces of system calls from the commands in the source and target platforms are analyzed to identify building blocks. A tree structure for each command of the source and target platforms is constructed with one or more building blocks from the identified building blocks. Commands of the target platform with a functionality within a threshold degree of similarity to the commands of the source platform are identified by analyzing the building blocks of the commands' tree structures. Alternative commands for the commands of the source platform, such as those commands that are not supported by the target platform, may be generated using such identified commands. The script from the source platform may then be adapted to be utilized in the target platform using such alternative commands.

Abstract: Self-tuning merged code testing is provided which includes testing merged code using a suite of test cases, where the merged code includes one or more code changes, and obtaining, based on the testing, a test case failure using the suite of test cases. Further, the process includes determining, using an artificial intelligence engine, a likely faulty code change of the one or more code changes resulting in the test case failure, and customizing, based on the likely faulty code change, the suite of test cases to facilitate verifying that the likely faulty code change is a faulty code change. In addition, the process includes continuing testing of the merged code using the customized suite of test cases to facilitate verifying that the likely faulty code change is the faulty code change.

Abstract: A computer-implemented method, including receiving, by a processor set, a query including a query string for a system catalog; identifying, by the processor set, a default index structure of the system catalog; executing, by the processor set, the query based on the default index structure of each index in the system catalog; ranking, by the processor set, a performance of each execution of the query by each index; mapping, by the processor set, a query pattern to a corresponding index of the system catalog; selecting, by the processor set, the index to perform the query using a machine learning (ML) model trained with a knowledge base that includes the ranking and the mapping; executing, by the processor set, the query on the selected index; and in response to executing the query on the selected index, returning, by the processor set, a result of the query.

Abstract: A method for maintaining an intelligent self-growing avatar (ISGA) in a metaverse is presented including supporting the ISGA with an ISGA server communicating with an ISGA client, collecting, via an ISGA data structure, personal characteristics and activities of a person in a real world, creating, via an avatar creator, an avatar having the personal characteristics of the person in the real world, training, via an ISGA trainer, the avatar to recognize and respond to the activities and relationships of the real person, and changing, via an ISGA adjuster, a behavior and personality of the avatar based on the activities and relationships of the real person in the real world to allow the avatar to continuously grow and evolve in the metaverse.

Abstract: A computational device detects an emotion of a reader while reading a printed version of a book via a virtual reality device. A determination is made of notes made by other readers of the book with a similar emotion to the reader, where the notes have been stored in association with an electronic version of the book. The notes are displayed on a virtual reality interface of the virtual reality device to the reader.

Abstract: A computer-implemented method for a service mesh to simulate and address a situation in which there are several transactions among services with an asynchronous relationship between the services is provided. The computer-implemented method includes identifying that the situation occurs with a response provided to a user upon a user invocation of one of the services, analyzing the situation to determine that the asynchronous relationship between the services caused an error in at least one of the several transactions, recording data of a next user invocation of the one of the services, modifying the data of the next user invocation of the one of the services to correct the error and to thereby generate modified data, simulating an execution of the next user invocation of the service using the modified data and confirming that the modified data corrects the error based on results of the simulating.

Abstract: According to an example of the present subject matter, a secured radio frequency identification device includes: a first radio frequency identification (RFID) tag; and a secured radio frequency identification (RFID) tag having a transmission control for selectively enabling and disabling data transmission from the secured RFID tag. The first RFID tag is to store non-sensitive data from a data set and the secured RFID tag is to store sensitive data from the same data set such that all the data of the data set is only accessible when the secured RFID tag is enabled for data transmission.

Abstract: The illustrative embodiments provide for dynamic tuning of pre-initialization environment provisioning and management. An embodiment includes accepting a request from a group of applications to generate a performance-based index table for a workload based on a feature of the applications and generating the performance-based index table. The embodiment includes building a label feature by analyzing a static program feature of the applications and the performance-based index table. The embodiment includes constructing, using clustering algorithms, a model for provisioning a pre-initialization environment using the label features. The embodiment includes loading the applications into a pre-initialization environment. The embodiment includes introducing a selection policy for a switch in the pre-initialization environment in multiple applications to balance usage of a resource.

Abstract: A system and method for improving the performance and reducing costs of a program by automatically provisioning and managing proper memory pool cell size adaptive to each executing application. By collecting time series of historical data on the memory pool usage of applications over a period of time, respective time-series prediction models are used to process the data to predict the allocation size for applications and in particular, a predicted number of allocations and a respective predicted allocation cell size. A clustering-based method is further applied to predict the allocation size for applications, using real time execution to do scaling, complement and interpolation. A method runs a further time-series prediction model trained to predict, based on the predicted memory cell size and one or more application profile features associated with the requesting application, a tuning parameter to refine the memory pool storage area size used for handling memory allocation requests.

Abstract: Building and using a smart contract in order to resolve the isolation between database users and service operators for hyper-protect database as a service (DBaaS). The use of the smart contract in the hyper-protect DBaaS environment allows the service operator to perform operations on sensitive and secure data in the database owned by a user without necessarily revealing the content of the sensitive and secure data.

Abstract: Methods and systems for provisioning resources includes classifying a request for a virtual server instance (VSI) according to resources specified in the request. Dependent resources that the VSI will use are predicted based on the specified resources. A provisioning plan is generated, including timing and configuration information, based on the specified resources and the dependent resources. Resources for the VSI are provisioned according to the provisioning plan, including allocating hardware resources on a computing system.

Abstract: Embodiments of the present disclosure provide systems and methods for implementing self-bias detection based on performance and importance. A disclosed computer implemented method aggregates continuous input data through a K-means clustering algorithm to reduce the number of aggregated sub-group data pairs, enabling a reduced calculation time for computing bias and enhanced performance. The self-bias detection identifies a scale factor and a balance factor of aggregated sub-group data pairs, which indicate the importance of the detected bias.

Abstract: In a first aspect of the invention, there is a computer-implemented method including: generating, by one or more processors, dependency version information for a target software application, based on activity of a compiler registered with an event handler; generating, by the one or more processors, one or more dependency sections with a dependency list for the target software application, wherein the dependency list incorporates the dependency version information; and building, by the one or more processors, a software package with the one or more dependency sections with the dependency list for the target software application.

Abstract: A method, system, and computer program product for dynamic cue generation for language learning are provided. The method identifies one or more listener actions for a listener engaged in listening learning. Based on the one or more listener actions, a language level of the listener is determined. A set of prompt metrics are generated based on the language level and the one or more listener actions. A set of audio stream levels is generated based on the set of prompt metrics. The method selects an audio stream level for a listening prompt, where the audio stream level is selected from the set of audio stream levels based on the language level of the listener.