International Business Machines Corporation

Other

Kyndryl, Inc.

Vijay Kumar Ananthapur Bache

Vijay Ekambaram

Saravanan Sadacharam

Padmanabha Venkatagiri Seshadri

Jhilam Bera

Sarbajit Kumar Rakshit

Srikanth K Murali

Bidhu Ranjan Sahoo

Rengia Ramaiyan Vasudevan

Manish Anand Bhide

Pradeep Raj Jayarathanasamy

Arvind Rangarajan

Srithar Rajan Thangaraj

Arvind Kumar

Shikhar Kwatra

Jennifer L Szkatulski

Gokul B Alex

Harish Bharti

Sandeep Sukhija

Gray Franklin Cannon

Phani Kumar V U Ayyagari

Vivek Shyamlal Sharma

Madan K Chukka

Atul Mene

Purna Chandra Jasti

Felice Mansi

Nagesh K Mantripragada

Madhusmita P Patil

Narendra Kunte

Sowmya V Kollipara

Saon Sen Nandi

Joyil Joseph

Arun Nagarajan

Bhagyashree Jayaram

Srinivas Chebolu

Lizet Ernand

Biswanath Mukherjee

Rahul Roy

Ranajoy Paul

Padmanabha Venkatagiri Shesadri

Content providers are clustered based on attributes of the content providers to produce a plurality of clusters each having content providers with aligned attributes. A correlation between a user providing a search query and the clusters is determined based on attributes of the user relative to attributes of the clusters. A cluster from among the plurality of clusters is determined based on the correlation. Content satisfying the search query is retrieved from the content providers of the determined cluster.

Content search based on correlating a user propensity with propensity of content providers

A computer-implemented method for sender activated mobile call overloading (SAMCO) is described that includes processors configured for receiving request call data comprising a data request initiated by a sending mobile device intended for a receiving mobile device, receiving active call data corresponding to a telephone call placed by the sending mobile device to the receiving mobile device, wherein the active call data comprises the data request, determining that the receiving mobile device is subscribed to a data request service configured to execute the data request, determining that the sending mobile device is authorized to access the receiving mobile device, and responsive to determining that the sending mobile device is authorized, the method includes processors configured for transmitting the data request to the receiving mobile device.

Sender activated mobile call overloading

A system, method, and computer program product for implementing microservice deployment is provided. The method includes receiving definitions associated with microservices related to implementing hardware and software solutions with respect to hardware and software systems. In response, a definition file and associated code comprising the definitions and associated dependencies associated with the microservices are generated. The microservices are deployed to a container orchestration system cluster on a cloud structure and a service mesh and machine learning module are installed within the container orchestration system cluster. Proxies comprising a proxy for each pair of dependencies are generated and network traffic passing through each proxy is monitored. A malfunction of a hardware or software system is detected and an associated network route passing through an associated proxy is disabled.

Microservice hardware and software deployment

Approaches presented herein enable maneuvering collaborative robots to rescue persons in a hydrological disaster. A plurality of robots are dispersed in a body of water to spread out and seek victims using cooperative foraging techniques within resource constraints. A location of victims located by a robot using sensing techniques is communicated to other robots. A situational assessment is performed using victim location information to determine a number of robots to deploy to the location. The deployed robots are directed to perform coordinated maneuvers to create a connected floatation unit to support floatation of victims for rescue.

Maneuvering collaborative devices for a rescue mission

Embodiments of the present invention provide a computer system a computer program product, and a method that comprises converting the retrieved data to a uniform syntax for data assessment; performing a query on a plurality of external data sources for additional information associated with the converted data; analyzing a plurality of indicative markers associated with the retrieved data and the additional information; generating a plurality of machine learning models associated with the converted data based on the analysis of each indicative markers within the plurality of indicative markers; dynamically selecting at least one generated machine learning model within the plurality of generated machine learning models associated with the retrieved data based on an analysis of the plurality of indicative markers associated with the retrieved data and the additional information; and automatically verifying an accuracy value associated with the at least one selected generated machine learning model.

Dynamic updating of digital data

Computer-implemented methods, computer program products, and computer systems for testing a voice assistant device may include one or more processors configured for receiving test data from a database, wherein the test data may include a first set of coding parameters and a first user utterance having an expected device response. Further, the one or more processors may be configured for generating a first modified user utterance by applying the first set of coding parameters to the first user utterance, wherein the first modified user utterance is acoustically different than the first user utterance. The one or more processors may be configured for audibly presenting the first modified user utterance to a voice assistant device, receiving a first device response from the voice assistant device, and determining whether the first voice assistant response is substantially similar to the expected device response.

Chaos testing for voice enabled devices

Embodiments relate to a system, computer program product, and method for determining shelter areas for two-wheeler vehicles, and, more specifically, for dynamically distinguishing the behavior of two-wheeler vehicles and non-two-wheeler vehicles as an indicator of shelter areas from inclement weather. The behavior of the vehicles is distinguished through a plurality of two-wheeler vehicles slowing down and congregating at a particular location as a shelter against inclement weather, while non-two-wheeler vehicles may slow down, however, not stop proximate this location.

Determining shelter areas for two-wheeler vehicles

An approach is provided to manage in-flight drones. The approach identifies a drone at a drone charging station with the identified drone being unauthorized to be at the drone charging station. Responsively, the approach then secures the identified drone and removes the identified drone from the drone charging station.

Managing and protecting charging stations for drones

Systems and methods for cognitive composition of multi-dimensional icons and interactions are disclosed. In embodiments, a computer-implemented method comprises: generating, by a computing device, interaction logs based on user context data received; identifying, by the computing device, one or more target applications and associated scripts; automatically generating, by the computing device, a multi-dimensional icon for the one or more target applications based on the interaction logs, wherein the multi-dimensional icon comprises a geometric structure including content cells; allocating, by the computing device, the scripts to respective content cells of the multi-dimensional icon.

Cognitive composition of multi-dimensional icons

A method, system and computer program product of detecting vehicle defects includes creating a first design graph, receiving information related to a defective design of a vehicle associated with the first design graph, tagging a defective part in the first design graph with defect information, comparing the first design graph with other design graphs using a graph-matching technique, determining that a second design graph matches the first design graph, the second design graph representing a potentially anomalous design, identifying a plurality of candidate vehicles that incorporate the potentially anomalous design, and recommending the candidate vehicles as service candidates.

Detection of vehicle defects

Relationship discovery can include receiving at a first mobile device a pair of ultrasonic signals conveyed at different frequencies from a second mobile device. The pair of ultrasonic signals can convey, respectively, a second user's contact information in an encrypted form and a key indicator. A contact number can be selected from a first user's contact list electronically stored on the first mobile device. The contact number can be selected based on the key indicator. A mutual contact can be identified in response to decrypting the second user's contact information using the contact number as a decryption key.

Relationship discovery

The exemplary embodiments disclose a system and method, a computer program product, and a computer system for encryption. The exemplary embodiments may include receiving an encryption request from a first smart device, preparing a response to the encryption request and generating a key, encrypting the prepared response with the generated key, sending the encrypted response to the first smart device, splitting the key into two or more pieces, sending the two or more key pieces to a second smart device, sending the two or more key pieces from the second smart device to the first smart device, assembling the two or more key pieces into the key on the first smart device, and decrypting the encrypted response on the first smart device using the assembled key.

Ultrasound split key transmission for enhanced security

A method, system, and computer program product for determining selection parameters for filtering algorithms using environmental data of images. The method may include receiving an image. The method may also include analyzing the image using at least image processing. The method may also include identifying, based on the analyzing, image data and environmental data of the image. The method may also include inputting the image data and the environmental data into a machine learning algorithm, where the machine learning algorithm includes mapped relationships between at least the environmental data and selection parameters. The method may also include predicting, using the machine learning algorithm, optimal selection parameters for the image. The method may also include applying the optimal selection parameters to a filtering algorithm for the image. The system and computer program product may include similar steps.

Finetune image feature extraction using environmental data

Generating a risk and constraint labeled context map of an operational space is provided. The risk and constraint labeled context map of the operational space corresponding to a user of a cognitive suit is generated to drive the cognitive suit contextually using three-dimension reconstruction, virtual reality, and semi-supervised learning. Labeled risks and constraints in the risk and constraint labeled context map are associated with cognitive suit actuation events to deploy a set of mitigation strategies to address the labeled risks and constraints. An apparatus embedded in the cognitive suit is actuated to deploy the set of mitigation strategies in response to sensing a labeled risk or labeled constraint proximate to the user along a trajectory of the user in the operational space.

User operational space context map-actuated risk prediction and reduction cognitive suit

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Bengaluru, India

Vijay Kumar Ananthapur Bache