International Business Machines Corporation

Srikanth K Murali

Padmanabha Venkatagiri Seshadri

Vijay Ekambaram

Vijay Kumar Ananthapur Bache

Aparna Seshadri

Bidhu Ranjan Sahoo

Shinoj Zacharias

Josephine E Justin

Ajay Chebbi

Padmanabha Venkatagiri Shesadri

Geet Manghnani

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

A method includes receiving, by one or more processors of a computer system, source code, annotating, by the one or more processors of the computer system, features of the received source code using an automated annotation system to provide annotations for the features, relating, by the one or more processors of a computer system, a code execution path of the source code to the features during the annotating, identifying, by the one or more processors of the computer system, a runtime issue associated with the source code, identifying, by the one or more processors of the computer system using a code analytic engine, one or more of the features based on the annotations that are associated with the runtime issue, and automatically disabling, by the one or more processors of the computer system, the identified one or more features associated with the runtime issue.

Intelligent automated feature toggle system using annotations

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

Disclosed embodiments provide techniques for data communication to mobile electronic devices utilizing nodes equipped with directional transmitters. The mobile electronic devices are classified as registered or unregistered. A current location for each mobile electronic device in an area is determined. A registered mobile electronic device is identified from a group of mobile electronic devices. Based on the determined location, a distance to a registered mobile electronic device from a transmitter is determined. The transmitter is a directional transmitter, capable of transmitting along a sector. A sector corresponding to the registered mobile electronic device based on an angle range and distance from a transmitter to the registered mobile electronic device is determined. Data is transmitted to the registered mobile device with directed communication from multiple transmitters, operating to create constructive interference to enable a suitable signal strength at the location of the registered mobile electronic device.

System and method to prevent eavesdropping of IoT enabled object-user interactions

Embodiments of the invention provide a method, system and computer program product for viewport selection for hypervideo presentation. In a method for viewport selection for hypervideo presentation, a multiplicity of different hypervideos, for example 360&#xb0; hypervideos, are played back to an end user and end user interactions by the end user with each of the different hypervideos are recorded. Then, an end user profile for the end user is computed from the recorded end user interactions so as to specify a particular viewport. Finally, in response to a directive by the end user to view a new hypervideo, the end user profile is retrieved and the particular viewport identified so that the new hypervideo is played back to the end user utilizing the particular viewport.

Viewport selection for hypervideo presentation

Aspects of the present invention provide a software defined radio (SDR) system and/or an approach for enabling heterogeneous device communications using a SDR device in an internet of things (IoT) environment. In an embodiment, the SDR device (e.g., a network adapter thereof) obtains a set of communications sent by an IoT device. Based on an analysis of the set of communications by an SDR bot running on the SDR device, a protocol of the set of communications is determined. The SDR bot interprets a communication of the set of communications, and, based on the interpreted communication, a notification is forwarded by the SDR device (e.g., by the network adapter). This notification can include an instruction to another IoT device to perform a task, a report based on communications from multiple IoT devices, or the like.

Heterogeneous internet of things environment device communication solution

Distributing and executing software upon devices by providing a computer program; dividing the computer program into a set of shreds; improving the communications fault tolerance of the shreds; encrypting the shreds; and distributing individual shreds to a shadow processor of a device for assembly and execution.

Enabling software distribution

Provided are techniques for personalized adaptation of Virtual Reality (VR) content based on eye strain context. An initial eye strain context for a user while wearing a VR headset to view VR content in a User Interface (UI) is determined. A UI adaptation and an intensity of the UI adaptation is identified, where the UI adaptation is any one of an object velocity back and forth adaptation, a rotation movement calibration adaptation, and an object position adaptation. Modified VR content is rendered in the UI by applying the UI adaptation based on the intensity of the UI adaptation. An updated eye strain context is determined. In response to determining that the updated eye strain context indicates that eye strain has decreased, a priority weight for the UI adaptation is increased and the UI adaptation, the intensity of the UI adaptation, and the priority weight are saved in a user profile.

Personalized adaptation of virtual reality content based on eye strain context

A method, system and computer program product for enriching user sketched virtual objects in mixed reality scenes to provide more relevant content. Objects, including a virtual entity sketch and real and virtual objects, are identified in a mixed reality scene. The features for each of these objects are extracted, such as color, texture, parts, etc. A relative position and connectedness of the virtual entity sketch are computed with respect to the mixed reality scene as an object-object matrix using the extracted features. The object-object matrix is then augmented using open and closed regions of the mixed reality scene to create an inter-object relationship graph. The virtual entity sketch is then transmuted using the inter-object relationship graph. Content may then be retrieved using the transmuted virtual entity sketch. In this manner, content that is more relevant to the user can be retrieved based on augmenting and enriching the virtual entity sketch.

Transmutation of virtual entity sketch using extracted features and relationships of real and virtual objects in mixed reality scene

System and method to prevent eavesdropping of IoT-enabled object-user interactions

A method for placing a linked hyper-video within a hyper-video. The method includes identifying one or more points of interest in the hyper-video, detecting one or more features of the hyper-video, extracting at least one of the one or more features, and displaying the linked hyper-video, within the hyper-video, based on the one or more identified points of interest and based on the extracted at least one of the one or more features. The method further includes extracting one or more features from the hyper-video that depict one or more viewing characteristics of a user. The method includes analyzing the one or more features from the hyper-video to identify a low-saliency area of the hyper-video, a low-frequency region within the low-saliency area, and a homogenous sub-region within the low-frequency region. The method further includes placing a linked hyper-video at the homogenous sub-region within the low-frequency region of the hyper video.

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Bengaluru, India

Srikanth K Murali