Abstract: Mechanisms are provided to consolidate event data structures in an electronic calendar. An event data structure for an event is received and features are extracted from the event data structure and another having an overlapping temporal location in the electronic calendar. The event data structure is classified as to whether it is duplicative of the other event data structure and the event data structures are rendered based on the classification. This rendering may involve consolidating the event data structures into a consolidated event data structure if they are duplicative, and prioritizing the event data structures relative to each other if they are not duplicative.

Abstract: A method, including: monitoring resource utilization of an operating system (OS) with applications utilizing larger pages; determining the monitored resource utilization is greater than a threshold resource utilization; in response to the determining the monitored resource utilization is greater than a threshold resource utilization, determining a respective larger pages index value for each of the applications utilizing larger pages; and turning off larger pages utilization of a subset of the applications utilizing larger pages, wherein the subset comprises a predefined number of the applications utilizing larger pages that have highest determined larger pages index values.

Abstract: Embodiments analyze an incoming query for a database, train a query model using machine learning based on the analyzing of the incoming query, determine a model result based on the trained query model; extract a similar information query based on the model result, generate a recommendation for query tuning and a visual impact of the recommendation for the query tuning based on the extracting of the similar information query, and output the recommendation for the query turning and the visual impact of the recommendation for the query tuning.

Abstract: Provided are a computer program product, system, and method for data analysis of interaction information for interacting participants to determine a connection intention. An audio and/or a visual feed collected at an event is processed to determine whether interacting participants at the event are engaged in an interaction. A duration of the interaction, attributes of the interaction, and personal profile information of the interacting participants are determined. The duration of the interaction, the attributes of the interaction, and the personal profile information are processed to determine a connection intention indicating whether the interacting participants should connect or should not connect. Requests for the interacting participants to connect are transmitted in response to determining the connection intention indicates the interacting participants should connect.

Abstract: A machine learning power consumption model and process are provided for determining power consumption of computing environment resources in handling requests of an application. The process includes training the machine learning power consumption model to estimate power consumption of computing environment resources in handling requests. The training uses a training dataset derived from historical request-related data, and the training dataset includes request-related data and resource power consumption data. In addition, the process includes analyzing the requests. The analyzing includes, for a particular request of the requests, obtaining a common pattern of resource use and collecting real-time trace metrics to facilitate allocating resource use to the particular request.

Abstract: A method includes: obtaining at least one real-time console log from a compute instance; tagging the at least one real-time console log with at least one log category based on at least one entry within the at least one real-time console log; generating at least one categorized console log; generating at least one encrypted categorized console log based on a public encryption key; publishing the at least one encrypted categorized console log to a log bus; communicating the at least one encrypted categorized console log over at least one multi-port secure tunnel to a user terminal device of a subscribed user; and publishing a private encryption key to the user terminal device of the subscribed user wherein the private encryption key facilitates decrypting the at least one encrypted categorized console log.

Abstract: One or more computer processors generate a debug chain from one or more similar resource bound breakpoints, wherein the debug chain provides dynamic code flow. The one or more computer processors distribute the generated debug chain to one or more tenants.

Abstract: For a set in sets of candidate factors, a classification model is trained to predict a computer problem possibility, an accuracy score of the classification model is determined based on model validation, and factor weights of the candidate factors in the set are adjusted based on the accuracy score. This processing is done with respect to all sets of candidate factors. A low accuracy classification model having an accuracy score lower than a threshold criterion is selected. A higher accuracy classification model having an accuracy score that is higher than the accuracy score of the low accuracy classification model is selected. The set of candidate factors used to train the low accuracy classification model is updated using one or more of the candidate factors used to train the higher accuracy classification model. The low accuracy classification model is updated based on the updated set of candidate factors.

Abstract: Computer technology for combining an encryption/decryption (e/d) key with additional information to obtain a specialized e/d key. The additional information one or more of the following types of additional information: client UUID (universally unique identifier), FQDN (fully qualified domain name), database hardware information, data physical position on the hard disk and/or stored data creation date. By combining the basic key with these kind(s) of operational information and/or software/hardware identifier information, the security of the underlying encrypted data can be meaningfully enhanced.

Abstract: An asynchronous capacitance-to-digital conversion is described that allows for very low-power operation when during inactive periods (when no conductive object is in contact or proximity to the sensing electrodes). Asynchronous operation of a capacitance-to-digital converter (CDC) provides for capacitance-to-digital conversion without the use of system resources and more power intensive circuit elements.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains a given query referencing a LOB. The program code obtains statistics and activities performed in the database system, establishes performance benchmarks, and analyzes the given query to determine how the LOB is utilized. The program code determines that meeting a benchmark requires replacing a reference to the LOB with a reference to implicit column(s). The program code executes the given query by referencing the implicit column(s) to obtain query results. The program code returns the query results.

Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: A road network balanced drainage method aimed at reducing urban waterlogging is disclosed. According to the drainage demand, the existing intersection elevation is changed or the intersection elevation that meets the drainage requirement is designed and implemented in new construction so that the intersection drainage is distributed according to the desired proportion; the water flowing to the water accumulation position is transferred to reduce the waterlogging degree. Through the analysis of the depth of water accumulation in the whole road network, the method of water flow distribution at the intersection is used to make the precipitation flow evenly distributed in the whole road network. The method can be used for solving serious water accumulation of a certain road section, the balanced drainage of the whole road network, the technical transformation of existing intersections, and for the planned and designed roads. The method can effectively eliminate and prevent urban waterlogging.

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 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: 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: 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: 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: A packaging structure of optoelectronic assembly, optoelectronic assembly using same and preparation method thereof. The preparation method comprising, providing a PCB board with an electrical connection surface and an optical coupling surface at an interval; preparing the electrical connection surface and the optical coupling surface respectively; bonding electrical contacts; after mounting optical assembly and performing additional testing, cutting and preparing a plurality of PCB units, and preparing corresponding optoelectronic assembly.