International Business Machines Corporation

Su Liu

Eric Rozner

Inseok Hwang

Cheng Xu

Chin Ngai Sze

Yu Gu

Yaoguang Wei

Debbie A Anglin

Shunguo Yan

Jun Su

Kai Liu

Boyi Tzen

Manjunath Ravi

Si Bin Fan

Fan Yang

Zhichao Li

Yang Liang

Chungkuk Yoo

Hamid Majdabadi

Fang Wang

Yin Xia

Jeffrey Alan Calcaterra

Peng Hui Jiang

John David Wilson

Sushain Pandit

Jinho Lee

Denise Marie Genty

Wu Song Fang

Fang Lu

Romelia H Flores

Howard Neil Anglin

Qin Qiong Zhang

Anita Govindjee

Itzhack Goldberg

Nadiya Kochura

Janani Janakiraman

Shi Kun Li

Zachary A Silverstein

Kanak Behari Agarwal

Wei Shan Dong

Li Li

Martin Oberhofer

Neil Sondhi

George Francis Ramsay, Iii

Jeremy R Fox

Rui Li Xu

Yu Liu

Jian Li

Guang Han Sui

Vishal Chittranjan Aslot

Barton Wayne Emanuel

Zhi Li Guan

Jennifer D Mulsow

Yu Zhu

Ivan Matthew Milman

Wei T Huang

Yuan Wang

Charles Daniel Wolfson

Dan Li

Xing Xing Wang

Xue Yong Zhang

Paul Llamas Virgen

Susan Marie Cox

Logan Bailey

Robert W Thompson

Xiao Xia Mao

Rhonda L Childress

David B Kumhyr

Jun Zhou

Zhuo Li

Ting Chen

Johnny Menh-Han Shieh

Harigovind Venkatraj Ramasamy

Wen Jun Yin

Tushar Agrawal

Andrew Jason Lavery

Yan Sun

Yi Liu

Yu Huang

Shi Lei Zhang

Miao Liu

Steven Edward Atkin

Tiberiu (Jim) Suto

Chih-Wen Su

Michael Baessler

Saritha Arunkumar

Jeffrey Alan Schmidt

Ping Xiao

Meng Wan

Rui Yang

Ying Nan Li

Riaz Yousuf Hussain

He Fang Zhang

Aruna Yedavilli

Hisham Emad Elshishiny

Fei Shen

Yuan Jin

Jill S Dhillon

Yin Qian

Xi Zhang

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.

Processing participant input in a virtual meeting to determine effects to render in the virtual meeting

A method for automatically generating, correlating, and presenting visual content along with an audio stream associated with an audiobook is provided. The method may further include, in response to receiving an audio stream, automatically segmenting the audio stream into audio segments. The method may also include automatically identifying keywords, topics, and entities associated with each audio segment. The method may further include automatically identifying and retrieving visual content related to the identified keywords, topics, and entities of each audio segment from a visual content repository. The method may also include automatically integrating the identified and retrieved visual content with an audio segment. The method may further include automatically generating and displaying the visual content on the display at the designated time during play of the audio stream.

Audiobook visual aid assistance

According to one embodiment, a method, computer system, and computer program product for item management is provided. The present invention may include identifying all items within sensor feeds of a sensor set within a venue; creating a list comprising entries for the identified items, the entries comprising a name, location and presence of the items; based on continuously monitoring the sensor feeds, dynamically updating the list to track the location and/or presence of the items in real time; responsive to receiving a query from a user requesting a lost item, selecting an item in the list that matches the name of the lost item; and guiding the user to the location of the selected item.

Method of household item inventory management

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.

Content based focus adjustment

A broker capability augmenting method, system, and computer program product for increasing a capability of a Message Queuing Telemetry Transfer (MQTT) broker in an Internet-of-Things (IoT) network including obtaining data from an IoT neighborhood to detect an IoT network topology over time, collecting data from IoT devices in the IoT neighborhood, defining an input parameter to a machine learning model, and training the machine learning model on the collected data and the input parameter.

Augmenting broker capabilities on massive IoT scenarios

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.

Computer-based privacy protection for chat groups in a virtual environment

Techniques are described with respect to a system, method, and computer program product for representing Internet-Of-Things (IOT) devices in a virtual environment. An associated method includes detecting a plurality of IOT devices associated with a physical space; extracting a plurality of IOT capabilities associated with the plurality of IOT devices; rendering a virtual IOT device based on the plurality of IOT capabilities; and visualizing the virtual IOT device within the virtual environment associated with the physical space.

Virtualizing internet-of-things devices in virtual environments

An embodiment for detecting the danger of an object in close proximity of a subject is provided. The embodiment may include receiving real-time data from one or more IoT devices in a surrounding environment. The embodiment may also include detecting and classifying one or more subjects and one or more objects in an image from the one or more IoT devices. The embodiment may further include identifying one or more risk factors associated with each object. The embodiment may also include correlating the one or more risk factors associated with each object with the one or more subjects in the image. The embodiment may further include identifying relative positions of the one or more subjects and the one or more objects in the image. The embodiment may also include in response to determining a current position of at least one subject is dangerous, notifying a user of the danger.

Proximity danger detection based on subject and object distance analysis

A computer implemented method compiles a source code. A computer system loads the source code into a first memory. The computer system loads a rendered source code into a second memory, wherein the rendered source code is a rendered version of the source code. The computer system determines whether a difference is present between the source code in the first memory and the rendered source code in the second memory. The computer system performs a set of actions in compiling the source code in response to determining that the difference between the source code and the rendered source code is present.

Compiler suppression of invisible trojan source code

Described are techniques for handwriting authentication. The techniques include defining handwriting characteristics for a user based on a set of handwriting authentication criteria. The techniques further include receiving, from a graphical user interface (GUI) of a user device associated with the user, a handwritten phrase. The techniques further include determining that the handwritten phrase satisfies a comparison threshold to the handwriting characteristics and authenticating the user device.

Dynamic handwriting authentication

One or more processors to add identification information of a device to an initialized augmented device retrieval assistance (ADRA) data structure. Received data from ADRA clients monitoring the device within a location includes a network connection status and a time-based position of the device. The ADRA clients dynamically update the ADRA data structure with the location, a current position of the device, and a timeframe of the data from the monitoring by the ADRA clients. A request for ADR assistance is received that includes an identification of a target device, the timeframe, and a location. Location images are generated that include a location layout or floor plan. A time-spatial axis is rendered and sent to an ADRA client and includes location images and target device position within the respective images associated with a specific timeframe on the time-spatial axis.

Augmented device retrieval assistance

Aspects of the present disclosure relate to augmentation for web conference participants. An augmentation rule set defining mappings between augmentations and participant characteristics can be received, where the augmentation rule set is implemented for a web conference to determine augmentations to apply onto participant video feeds within the web conference. A plurality of participants within the web conference can be identified. The web conference can be analyzed to determine participant characteristics of each participant of the plurality within the web conference. Augmentation can be applied on respective video feeds of each participant according to the augmentation rule set based on the determined characteristics of each participant.

Augmentation for web conference participants

A computer-implemented method to send targeted messages based on a driver's intent. The method includes identifying, by a sending vehicle, one or more additional vehicles in the vicinity of the sending vehicle, including a first vehicle. Monitoring a set of data related to a current scenario for the sending vehicle and determining, based on a current scenario, an intent score for the sending vehicle. The method includes activating a horn device associated with the sending vehicle. The method further includes determining, in response to the activating, the intent score is above an intent threshold for the first vehicle. The method includes generating, in response to the intent score being above the intent threshold, a message; and sending, to a target vehicle, the message. Further aspects of the present disclosure are directed to systems and computer program products containing functionality consistent with the method described above.

Intelligent vehicle horn

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.

Generation of video stream having localized lip-syncing with personalized characteristics

A method for configuring beamforming for a network device is disclosed. In one embodiment, such a method includes creating a map of an area in which a network device that supports beamforming is placed. The method shows, on an interactive display device, the network device on the map. The method shows, on the interactive display device, one or more beams emanating from the network device on the map. The method enables a user to manipulate the beams on the interactive display device to create a desired beamforming pattern that takes into account the map and receiving devices located in the area. The claimed method is advantageous in that it may enable a user to establish or modify a beamforming pattern in a more intuitive, visual way. A corresponding system and computer program product are also disclosed.

Augmented configuration interface for visualizing and optimizing beamforming

Growing community of inventors

Austin, TX, United States of America

Su Liu