Abstract: A device for controlling a vehicle includes a navigation system that acquires big data including a point of interest (POI) with a visit history of a requestor who has requested a place recommendation, and a processor that performs preprocessing on the big data for learning acquired in advance to generate input data, trains a POI recommendation model based on the input data, and inputs the big data into the POI recommendation model that has been trained to generate at least one place the requestor is expected to visit.

Abstract: Techniques are described with respect to a system, method, and computer program product for managing a virtual environment context. An associated method includes analyzing a plurality of avatars associated with the virtual environment; ranking each avatar of the plurality of avatars based on the analysis; grouping at least a subset of the avatars based on a scoring of each avatar associated with the ranking; and modifying the virtual environment for the subset in accordance with the virtual environment context based on the analysis.

Abstract: A display device includes a display panel, a polarization member facing the display panel, a cover window including an inorganic material and facing the display panel with the polarization member therebetween, and a window bonding member which is between the cover window and the polarization member attaches the cover window to the polarization member. The window bonding member which attaches the cover window to the polarization member has a modulus of about of 1 MPa to about 10 MPa.

Abstract: The present invention discloses an anti-aging Chinese herb extract, an extraction method and a use thereof. The ginseng-Astragalus membranaceus extract of the present invention comprises 20 to 30% of astragaloside, 1 to 5% of ginsenoside Rg1, 2 to 6% of ginsenoside Re, 0.2 to 0.5% of ginsenoside Rb1. There are 17 characteristic peaks in high-performance liquid chromatography fingerprints of the extract. The extract can effectively improve activity of telomerase, delay cell aging, and can be applied to preparation of an anti-aging product.

Abstract: Disclosed herein are an evidence collection guidance method and apparatus for file selection. The evidence collection guidance method includes generating pieces of preliminary analysis information that are pieces of collection target information, setting levels of the pieces of preliminary analysis information based on predefined rules, and generating and outputting notification information including summary description information and follow-up measure items related to the pieces of preliminary analysis information corresponding to the levels.

Abstract: In an approach to improve the privacy of chat groups within a virtual world, in response to identifying a private chat group has been created between two or more users, embodiments collect, by an internet of things (IoT) sensor set, a voice for each user in the private chat group. Further, embodiments analyze, by an analysis module, the collected voice, an intonation associated with the collected voice and an original pronunciation associated with the collected voice, and generate a de-content pronunciation based on the analysis of the collected voice, the intonation, and the original pronunciation. Additionally, embodiments output, by the IoT sensor set, the intonation and the original pronunciation to the two or more users in the private chat group and output, by the IoT sensor set and a client computer, the intonation and the de-content pronunciation to one or more users outside the private chat group.

Abstract: The present invention provides a coal feeding control method and system for a small pulverized coal silo, the method includes: acquiring a boiler load increase signal, and determining the target function F(t) for boiler load control obtaining the current coal mill output signal B(t), where B(t) is the fuel quantity signal at the outlet of the coal mill that changes over time from the start time; comparing B(t) with F(t): if B(t) cannot meet the fuel quantity requirements of F(t), activate the small pulverized coal silo connected to the boiler; otherwise, the small pulverized coal silo remains inactive; determining the coal feeding signal f(t) for the small pulverized coal silo, and further determining the coal feeding control signal f(t) for the small pulverized coal silo; controlling the small pulverized coal silo to feed coal to the boiler, quickly changing the combustion rate in the furnace, and increasing the boiler load.

Abstract: A computer-implemented method, in accordance with one embodiment, includes detecting cultural context and accents of speakers portrayed in a video stream and/or an audience of the video stream. Accent tags are selected for the speakers according to the cultural context and accents of the speakers and/or the audience of the video stream. A textual representation of spoken words of the speakers is translated from a source language to a target language. The accent tags are applied to the textual representation of the spoken words in the target language according to the speakers corresponding to the textual representation of the spoken words in the target language. Speech lip movements of the speakers portrayed in the video stream are modified to match the target language and the locale accent tags. A translated video stream having the speakers appearing to speak in the target language with the modified lip movements is output.

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: 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: 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: 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: Mechanisms are provided for simulating operating systems. The mechanisms train, for each operating system, a corresponding artificial intelligence (AI) computer model that learns, by way of machine learning training, patterns of input features of inputs to the operating system and corresponding responses from the operating system. A request to simulate a requested operating system is received along with a simulation input whose processing by the requested operating system is to be simulated. An AI computer model corresponding to the requested operating system is executed on the simulation input to simulate processing the simulation input to generate a simulated response. The simulated response is returned as a simulated output of the requested operating system responsive to the input.

Abstract: Provided are a method of manufacturing a biodegradable nonwoven fabric and a biodegradable nonwoven fabric manufactured by the method. The method includes preparing a biodegradable resin solution including a biodegradable resin composition, which includes a first biodegradable resin, and an organic solvent. The biodegradable resin solution is then spinned by applying a voltage to the biodegradable resin solution. The first biodegradable resin includes diol, aromatic dicarboxylic acid, and aliphatic dicarboxylic acid.

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 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: Embodiments of the present invention provide a method of manufacturing an eco-friendly biodegradable nonwoven fabric, the method including spinning a biodegradable resin composition to manufacture biodegradable yarns; cooling the biodegradable yarns; and combining the cooled biodegradable yarns to form a biodegradable yarn web, wherein the biodegradable resin composition includes a first biodegradable resin, the first biodegradable resin includes diol, aromatic dicarboxylic acid and aliphatic dicarboxylic acid, and the biodegradable resin composition has a crystallization temperature of 70° C. to 130° C.; a biodegradable yarn; and a biodegradable nonwoven fabric including the biodegradable yarn.

Abstract: Provided are a computer program product, system, and method for processing participant input in a virtual meeting to determine effects to render in the virtual meeting. A natural language processor (NLP) processes a sentence to determine a structural representation of the sentence comprising a subject and object, which is processed to determine whether the object of the sentence comprises an object of recognition and the subject of the sentence is a participant in the virtual meeting. The structural representation of the sentence is processed to determine an attention level in response to determining that the structural representation of the sentence includes the object of recognition and the subject comprises a participant in the virtual meeting. In response to the attention level exceeding a threshold, a recognition attention effect is rendered in the virtual meeting associated with the attention level, observable by the participants of the virtual meeting.

Abstract: Provided are techniques for training Machine Learning (ML) models to automatically detect and correct contextual and logical errors. A plurality of machine learning models are trained. In response to receiving content, the content is parsed into different elements. One or more knowledge graphs are built based on the different elements. One or more machine learning models are selected from the plurality of machine learning models based on the one or more knowledge graphs and custom criteria in a user profile. The selected one or more machine learning models are used to identify at least one of a contextual error and a logical error and a correction for the at least one of the contextual error and the logical error. The correction for the at least one of the contextual error and the logical error is applied to generate corrected content. The corrected content is rendered.