International Business Machines Corporation

Diane Marie Stamboni

John S Werner

Kavita Sehgal

Sneha M Varghese

Sarah Wu

Nicholas George Danyluk

Eli M Dow

Michael Page Kasper

Joshua David Steen

Andrew C M Hicks

Thomas William Conti

Gregg M Arquero

Bryan Childs

Eric Rosenfeld

Sneha Mary Varghese

Elton De Souza

Christine D Mikijanic

Christopher G Brooker

Kathleen Chalas

Scott Woolley

Orion Hayes

Nicholas Buonarota

Andrew Evans

Roan Dawkins

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

Cyber security testing with automated system message processing for input and result determination is disclosed, including issuing, by a test tool, a call to an authorized service; identifying, by the test tool, one or more system-level error messages generated after issuing the call; determining, by the test tool based on at least one first system-level error message, a missing input for the call to the authorized service; and reissuing, by the test tool, the call to the authorized service with the missing input.

Cyber security testing with automated system message processing for input and result determination

A system and method for identifying authorized job step programs. The process identifies a plurality of job step programs. It then identifies authorized program facility (APF) authorized programs from the plurality of job step programs. An output table of APF authorized program is generated. This table is used to submit at least one batch job using the output table. A list identifying which parameters in a parameter string contain an address for each APF program in the output table is generated. This list is then provided for program testing.

Cyber security testing for incorrectly authorized programs

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

Aspects of the invention include receiving, by a processor, source code for a software program written in a first programming language. The received source code is converted into abstracted source code that is in a generic format that is different than a format of the first programming language. The abstracted source code is compared to known source code patterns. Based on determining that at least a subset of the abstracted source code matches a pattern in the known source code patterns, sending an alert to the user indicating that the received source code matches the pattern.

Automatic integrity vulnerability detection in an integrated development environment

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

Techniques for predictive water condition monitoring are described herein. An aspect includes a method that includes monitoring, by one or more processors, at least one water sensor to establish a baseline of a water condition model and monitoring one or more water conditions. A predicted water condition is determined based on the water condition model and the one or more water conditions. An alert is transmitted to one or more devices based on determining that the predicted water condition indicates a predicted contaminant level above a threshold.

Predictive water condition monitoring

Aspects of the invention include executing a first test case on a system, capturing a first state of the system during execution of the first test case, determining a first result of the first test case, performing a second execution of the first test case on the system in response to the first result of the first test case being an unexpected result, capturing a second state of the system during the second execution of the first test case, determining a second result of the first test case, analyzing the first state and the second state to determine a state similarity score, and categorizing the first result as a false positive based at least in part on the state similarity score being above a first threshold and a determination that the second result is a different result than the first result.

Test case failure with root cause isolation

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

Techniques for system kernel error identification and reporting for a computer system are described herein. An aspect includes detecting an error during the execution of a program. Another aspect includes determining whether the error is a system kernel error in the program. Another aspect includes, based on determining that the error is a system kernel error, generating a report regarding the determined system kernel error.

System kernel error identification and reporting

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.

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Poughkeepsie, NY, United States of America

Diane Marie Stamboni