International Business Machines Corporation

Cheranellore Vasudevan

Swaminathan Balasubramanian

Radha Mohan De

Indrajit Poddar

Ashley Dallas Delport

Derek P Bagwell

Eric Vance Kline

Mark Edmund Maresh

Michael J Whitney

Juan F Vargas

Colm Nolan

Sibasis Das

Mamnoon Jamil

Gary V Tollers

Jason Richard Malinowski

Thomas G Lawless, Iii

Brian M O'Connell

Peeyush Jaiswal

Indran Naick

Priyansh Jaiswal

Kenneth Wayne Roberson

Sivakumar Jambunathan

Joni L Buttke

Jian Wu

Keith R Walker

Robert A Morgan

Ronald Harold DeWeerdt

Krisha Banerjee

Ivory Wellman Knipfer

Grant Douglas Miller

Ravi Prakash Bansal

Naga A Ayachitula

William Robert Taylor

Rajeev Puri

Josephine E Justin

Santosh S Borse

Kenneth David Christiance

Kaleigh E Williams

Peter M Jensen

Douglas C Ewing

Ronny Syarif

Taylor Presley

Karina Elayne Kervin

Ann M Moyer

Elizabeth C Huntley

Lisa Nayak

Chetna Dnyandeo Warade

Robert A Larsen

Julia Jankowski

William R Dorow, Jr

Vijaya Jas

Satyendra Kumar

Eugene K Jurrens

Genevieve Van Den Boer

Maulana Bachtiar

Thi Thanh Thao Lai

Wen Rui Siow

Yida Lee

Detecting duplicate tables by converting relational tables to knowledge graphs; and mapping nodes in the knowledge graphs to sources in the relational tables. The method may further include applying graph matching to the knowledge graphs; and assessing degree of matching between matched knowledge graphs.

Detecting duplicate tables in data lake databases

A method, computer system, and a computer program product for historical image search is provided. The present invention may include receiving an image search criteria. The present invention may also include generating a composite image search query based on the received image search criteria. The present invention may further include searching for a matching historical image based on the generated composite image search query. The present invention may also include returning a historical image search result.

Historical image search

A computer-implemented method for learning unknown concepts during natural language processing is disclosed, including identifying a sentence associated with an unknown concept, selecting a first sequential set of sentences from a first document, including the sentence associated with the unknown concept, one sentence prior, and subsequent to the sentence associated with the unknown concept, selecting a second sequential set of sentences from a second document, including a sentence associated with a known concept, and one sentence prior and subsequent to the sentence associated with the known concept, comparing concepts associated with the first sequential set of sentences and second sequential set of sentences, determining whether an inference can be made between the unknown concept associated with the sentence from the first document and the sentence associated with the known concept associated with the sentence from the second document, and tagging the unknown concept associated with the known concept.

Determining unknown concepts from surrounding context

A method for a story fill authentication process includes, responsive to receiving a first authentication request to authenticate a user, displaying a first generated story with one or more obfuscated portions, where the first generated story is based on event data associated with a first previously captured event and additional data utilized to enrich the event data for the first previously captured event. The method also includes, responsive to determining text provided for the one or more obfuscated portions of the first generated story at least meets a comparison threshold level to a first complete generated story based on a semantic comparison, granting the user access to a resource associated with the first authentication request.

Generated story based authentication utilizing event data

A client device can receive, from a data processing system, first data, the first data selected by the data processing system based on second data generated by at least one IoT device with which the client device is associated, and the first data indicating at least one advertisement. The client device can access the at least one advertisement using the first data indicating the at least one advertisement. The client device can add the at least one advertisement to the content accessed by the client device. The client device can present the content with the at least one advertisement added to the content.

Personalization of advertisement selection using data generated by IoT devices

In an approach to transient identification generation, one or more computer processors receive a request for one or more identification artifacts associated with a user from a requesting entity. One or more computer processors determine a first set of identification artifacts. One or more computer processors transmit the first set of identification artifacts to the requesting entity. One or more computer processors determine whether the first set of identification artifacts is an approved response to the request for the one or more identification artifacts. In response to determining the first set of identification artifacts is the approved response to the request for the one or more identification artifacts, one or more computer processors generate a transient identification that includes the first set of identification artifacts. One or more computer processors transmit the transient identification to the requesting entity.

Transient identification generation

Embodiments for scheduling the delivery of multiple medications to a patient by a processor. Any interactions between the multiple medications or between one of the multiple medications and a type of food are considered to construct an analytical model to identify an optimized schedule for delivery of the multiple medications to the patient. The optimized schedule is adjusted in real time as additional information concerning the multiple medications and the type of food are introduced, and delivered to a dispensing device associated with the one of the multiple medications.

Optimization of medicines delivery

A method for event data fencing includes initializing a media monitoring algorithm, wherein the media monitoring algorithm scans for one or more words relating to a data breach in publicly available reports. Responsive to identifying a report from the publicly available reports relating to a vulnerability associated with the data breach, the method determines whether the vulnerability is associated with event data utilized for an authentication process. Responsive to determining the vulnerability is associated with a portion of the event data utilized for the authentication process, the method fences the portion of event data associated with the vulnerability, wherein fencing prevents the portion of event data from being utilized in the authentication process.

Event data fencing based on vulnerability detection

A tool for inter-vehicle communication. The tool determines whether contextual data and journey information for a user justifies a notification. Responsive to a determination that the contextual data and the journey information justifies the notification, the tool generates the notification. The tool generates a trust score for the notification. The tool determines one or more vehicles located within a pre-defined proximity of the user. The tool transmits the notification and the trust score to the one or more vehicles located within the pre-defined proximity of the user.

Inter-vehicle communication

A construction of a dynamic object password (DOP) is initiated by selecting an object from a set of objects in a step of the construction. A transformation is applied to the object to form a transformed object by altering a dynamic aspect of the object. A placement operation is performed on the transformed object relative to a field position of the DOP. As a part of the step, a triple is generated including an identifier of the selected object, an identifier of the transformation, and an identifier of the placement operation. The triple is transmitted as a part of transmitting an authorization code, the authorization code forming the DOP.

Dynamic object passwords

A method for a two-factor authentication process includes, responsive to determining a first user authentication was prompted in a first application on a first device associated with a user, identifying a second application on a second device based on a user profile associated with the user. The method identifies a first event from a plurality of events that previously occurred in the second application in a select time frame, wherein the first event relates to a first action performed by the user in the second application. The method generates an authentication question based on the first event, wherein the authentication question is a second user authentication. Responsive to determining an answer provided by the user to the authentication question is correct, the method grants access to the first user authentication prompt.

Multi-factor authentication utilizing event data

Embodiments for intelligent text enhancement in an Internet of Things (IoT) computing environment by a processor. One or more contextual factors relating to text data in a communication may be interpreted to identify a mood/sentiment of the user prior to the user sending the communication to one or more persons using one of a plurality of applications. A text font matching the one or more contextual factors may be suggested in the communication.

Intelligent text enhancement in a computing environment

Provided is a method for disambiguating an audio component extracted from audiovisual content. Audiovisual content is identified. The audiovisual content includes an audio component and a video component. An ambiguous expression is detected in the audio component. An object referenced by the ambiguous expression is identified in the video component. A verbal description of the object is generated. The verbal description is injected into the audio component to generate a modified audio component.

Disambiguation of audio content using visual context

Embodiments for enhancing privacy and security of an image by a processor. Metadata associated with the image is configured with a usage designation, the usage designation having accompanying notification information for notifying an owner of the usage designation if a condition of the usage designation is met.

Enhancement of privacy/security of images

An ambience adjustment method, system, and non-transitory computer readable medium, includes identifying an ambient condition in a user profile for a most similar first device to a second device and setting the ambient condition of the most similar first device as the ambient condition in the user profile of the second device.

Adjusting ambience of a room

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Bastrop, TX, United States of America

Cheranellore Vasudevan