International Business Machines Corporation

Kavita Sehgal

John S Werner

Diane Marie Stamboni

Sneha M Varghese

Sarah Wu

Nicholas George Danyluk

Eli M Dow

Sneha Mary Varghese

Elton De Souza

A method, computer system, and a computer program product for protected content contamination prevention is provided. The present invention may include detecting an attempt to access a new content by a computing device. The present invention may include determining if the new content includes a protected content. The present invention may include in response to determining that the new content includes the protected content, determining if the protected content is permitted to be accessed by a user profile associated with the computing device. The present invention may include in response to determining that the protected content is not permitted to be accessed by the user profile associated with the computing device, preventing access to the protected content by the computing device.

Protected content contamination prevention

A computer-implemented method, a computer program product, and a computer system for data sharding and topology alterations for disaster recovery preparation. A computer system estimates time needed to copy a data store of a data center that is assumed offline. A computer system determines whether the time needed is greater than a recovery time objective (RTO). A computer system creates a data shard for the data store, in response to determining that the time needed is greater than the RTO. Prior to the data center being offline, a computer system alters a current topology of the data store in a network connecting multiple data centers, by copying the data shard to a destination data center that does not contain the data store in the current topology, where, with an altered topology, the RTO is met in an event of the data center being offline.

Autonomous data sharding and topology alterations for disaster recovery preparation

A method, system, and computer program product are provided. During creating a document by a creation module, the content of the document is analyzed. Sources used while creating the document are analyzed using NLP, sentiment analysis, tone analysis, speech-to-text, and visual recognition. The sources are associated with a location in the document. Sources are filtered out based on a degree of correlation to the document. Sources are linked to the document where a correlation is found between the document and the sources. The linked sources are stored in a database for recall. During a presentation of the document, upon receiving a question, the question is analyzed to determine a relevant logical section of the document, and the relevant sources are retrieved.

Source linking and subsequent recall

A real-time performance management may be used for cycling. A first computing device retrieves profile data related to a cyclist. The first computing device receives sensor readings from one or more sensors. A first sensor of the one or more sensors detects cyclist tilt. Profile data and the sensor readings from the one or more sensors determine cyclist status. A notification based on the determined cyclist status communicates to a user.

Real-time sensor based balance gamification and feedback

In an apparatus for hazardous chemical detection in a microwave oven, a microwave oven comprises an electromagnetic wave shielding material, at least one chemiresistor, a microcontroller, and a digital display, wherein the at least one chemiresistor is overlaid by the electromagnetic wave shielding material, and the microcontroller is electronically coupled to the digital display. In an approach to detect the release of a hazardous chemical during a cooking cycle in a microwave oven, a processor receives a reading from at least one chemiresistor, wherein the at least one chemiresistor is configured to detect a chemical. A processor determines whether a pre-set threshold is met. In response to the pre-set threshold being met, a processor sends an alert.

Hazardous chemical detection in a microwave oven

In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving a list of items to be purchased by a user. The method further includes performing an analysis of the list of items based at least in part on a cost for each item of the list of items at each of a plurality of stores, a distance of travel to each of the plurality of stores, and promotional discounts for one or more of the items of the list of items at each of the plurality of stores. The method further includes generating a table of recommendations based on the analysis. Each recommendation of the table of recommendations can include a description, a total travel distance, and a total cost.

Generating a table of recommendations

Embodiments described herein are directed to computer-implemented methods, systems, and computer program products for calculating a metric using natural language processing tokens. A non-limiting example of the computer-implemented method includes parsing, by a processing device, user content using a natural language processing technique to extract tokens. The method further includes filtering, by the processing device, the tokens relating to a natural language processing criterion. The method further includes calculating, by the processing device, a metric based at least in part on the filtered tokens. The method further includes determining, by the processing device, whether to take an action by applying the metric to a set of rules. The method further includes taking the action responsive to determining to take the action.

Determining whether to take an action by applying a metric calculated using natural language processing tokens

Methods, systems, and computer program products for providing reminders to users based on voice recognition are provided. Aspects include monitoring, via a microphone of a user device, a communication of a user. Aspects also include determining an identity of a person communicating with the user based on a voice signature of the person. Aspects further include providing a notification to the user based on a determination that the user has a reminder event for the person.

Providing reminders based on voice recognition

Technical solutions are described for selecting and retrieving, by a media retrieval system, media items for displaying. An example method for selecting and retrieving the media items includes monitoring a conversation of a user via a user device, and extracting a conversation topic from the conversation. The method further includes determining that a metadata database of a media storage associated with the user includes the conversation topic. The method further includes adding, in response, to a topic match database, from the media storage, an identity of a media item matching with the conversation topic, and adding, to a list of media items to be played back by a media display device, the topic match database. Further yet, the method includes playing back, by the media display device, the media item.

Media selection and display based on conversation topics

Methods, systems and computer program products providing traffic light status notifications to drivers are provided. Aspects include determining that a first vehicle, operated by the driver, is approaching a traffic light and receiving, by the first vehicle, traffic light status data from one or more second vehicles in a vicinity of the traffic light via vehicle-to-vehicle communication. Aspects also include obtaining a traffic light pattern for the traffic light from a traffic light pattern database and determining a predicted status of the traffic light at a time when the first vehicle will reach the traffic light based on a speed of the first vehicle, the traffic light status data, and the traffic light pattern. Aspects further include notifying the driver of the predicted status of the traffic light.

Cognitive traffic light pattern analysis and notification

A computer monitors a plurality of social media communications. The computer identifies a first social media communication of the plurality of social media communications. The computer evaluates the first social media communication for a first communication emergency level. The computer identifies a first location associated with the first social media communication. The computer groups the first social media communication into a location group based, at least in part, on the identified first location. The computer evaluates a location group emergency level, based, at least in part, on the first communication emergency level of the first social media communication. The computer determines the location group emergency level exceeds a threshold value. The computer issues an emergency warning alert in response to determining that the location group emergency level exceeds the threshold value.

Automatic detection and alert of an emergency from social media communication

The present invention provides a computer implemented method, a system, and a computer program product for verifying a writing of a user. In an exemplary embodiment, the present invention includes in response to receiving a writing on a pressure sensing touchpad logically coupled a computer system, recording a position and a pressure of one or more points of the writing via a pressure sensing touchscreen, executing a set of logical operations normalizing the writing, comparing the normalized writing to one or more stored writing parameters, executing a set of logical operations determining the normalized writing is within a tolerance of writing parameter deviation limits, thereby verifying the writing, and in response to determining the writing is within the tolerance of writing parameter deviation limits, storing, by the computer system, a value indicating that the writing is valid.

Analyzing writing using pressure sensing touchscreens

A method of identifying a crack in a touchscreen display system includes measuring a distance between a first layer of the touchscreen display system and a second layer of the touchscreen display system, detecting a change in the distance at a portion of the touchscreen display system, identifying a crack in the first layer at the portion of the touchscreen display system based on the change in the distance, and adjusting one or more parameters of the touchscreen display system based on the crack in the first layer.

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Poughkeepsie, NY, United States of America

Kavita Sehgal