Abstract: In an embodiment of the disclosed principles, a method of analyzing a rope to estimate its residual break strength (RBS) is provided. The method entails training a multi-layered neural network to recognize rope damage and estimate an RBS for a rope under study by collecting high-resolution visual data of a plurality of sample ropes, extracting visual features of damaged areas of each rope, resolving each visual feature into a damage type and clustering damage type exemplars, breaking each sample rope to determine an actual RBS for each rope and classifying the visual data via determined RBS, specific to product type/damage mode. Job and product data are entered for the rope under study, the rope is paid out, and high-resolution visual data is captured while spooling back the rope. The correlated data is provided to the multi-layered neural network to generate an estimate of RBS for the rope under study.

Abstract: Embodiments include a system for providing access to secured data; the system includes a processor configured to perform a method. The method includes receiving physiological data from one or more sensors on a wearable device; obtaining environmental data from the one or more sensors; storing the physiological data and the environmental data from the one or more sensors onto a secured storage device; receiving, by a transceiver, a request to access the physiological data; accessing, by a processor, a security profile for the physiological data, wherein the security profile defines a normal range for the physiological data and defines environmental data compliance; and providing access to the physiological data based upon a determination that the physiological data is outside the normal range for the physiological data and based upon a determination that the environmental data is in compliance with the security profile.

Abstract: A method, system, and computer program product for providing a dynamic estimation on engagements and patterns of content includes: receiving a data packet from an input field of a form on a computing device; analyzing historical data associated with a user to identify patterns between the first string of characters and the historical data; determining one or more related strings of characters from the historical data based on the identified patterns; determining a historic engagement level for each of the one or more related strings of characters; determining a predicted engagement level for the string of characters based on the historic engagement level; and transmitting at least the predicted engagement level to the computing device to cause the computing device to display the predicted engagement level in a selectable field associated with the input field.

Abstract: An image classification model is configured to classify a subject viewed via a multi-camera apparatus. A depth classification model is configured to distinguish between a depth characteristic of a 3D subject and a depth characteristic of a realistic 2D rendering of a 3D subject, using depth information provided by viewing a subject via a multi-camera apparatus. A 2D rendering of a 3D subject is presented as an input to a multi-camera apparatus, the multi-camera apparatus operating the image classification model and the depth classification model. Using the multi-camera apparatus, a first depth information corresponding to the input is collected. The first depth information is provided to the depth classification model. Responsive to the depth classification model classifying the input as a 2D rendering, the 2D rendering is rejected as being the 3D subject.

Abstract: A communication device, computer program product and method of monitoring text at a communication device. The communication device includes an input device and a processor. The input device receives a text input from a user of the communication device. The processor operates a cognitive engine that determines a sentiment of the text, and displays a visual indicator based on the determined sentiment.

Abstract: A communication device, computer program product and method of monitoring text at a communication device. The communication device includes an input device and a processor. The input device receives a text input from a user of the communication device. The processor operates a cognitive engine that determines a sentiment of the text, and displays a visual indicator based on the determined sentiment.

Abstract: Methods, systems and computer program products for creating customized delivery paths for unmanned aerial vehicle deliveries are provided. Aspects include receiving, from a delivery recipient, one or more delivery locations for a delivery of a package and receiving, from the delivery recipient, a flight plan associated with each of the one or more delivery locations, wherein at least one of the flight plans include an authorized path across a private property. Aspects also include receiving, from the delivery recipient, a set of delivery recipient preferences that are used to determine which of the one or more delivery locations should be used to deliver the package and storing, by a processor in a computer readable medium, the set of delivery recipient preferences for use in determining a delivery location for a package to the delivery recipient.

Abstract: A method, system, and computer program product for providing a dynamic estimation on engagements and patterns of content includes: receiving a data packet from an input field of a form on a computing device; analyzing historical data associated with a user to identify patterns between the first string of characters and the historical data; determining one or more related strings of characters from the historical data based on the identified patterns; determining a historic engagement level for each of the one or more related strings of characters; determining a predicted engagement level for the string of characters based on the historic engagement level; and transmitting at least the predicted engagement level to the computing device to cause the computing device to display the predicted engagement level in a selectable field associated with the input field.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: Methods, systems and computer program products for delivering a package by a drone using a customized delivery path are provided. Aspects include receiving a package for delivery to a delivery recipient and obtaining delivery preferences for the delivery recipient. Aspects also include determining a delivery location for the package based on the delivery preferences and one or more characteristics of the package and obtaining a flight plan for the drone to deliver the package to the delivery location, wherein the flight plan includes a delivery path across a private property.

Abstract: Methods, systems and computer program products for creating customized delivery paths for unmanned aerial vehicle deliveries are provided. Aspects include receiving, from a delivery recipient, one or more delivery locations for a delivery of a package and receiving, from the delivery recipient, a flight plan associated with each of the one or more delivery locations, wherein at least one of the flight plans include an authorized path across a private property. Aspects also include receiving, from the delivery recipient, a set of delivery recipient preferences that are used to determine which of the one or more delivery locations should be used to deliver the package and storing, by a processor in a computer readable medium, the set of delivery recipient preferences for use in determining a delivery location for a package to the delivery recipient.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: A method, computer program product, and computer system for receiving, at a second computing device by a first computing device, an invitation to establish a peer to peer communication channel. The second computing device may accept the invitation. An application may be utilized on the second computing device. Content created by the application on the second computing device may be automatically shared with the first computing device, via the peer to peer communication channel, based upon utilization of the application on the second computing device. Access to the content may be prevented on the second computing device.

Abstract: Embodiments include a system for providing access to secured data; the system includes a processor configured to perform a method. The method includes receiving physiological data from one or more sensors on a wearable device; obtaining environmental data from the one or more sensors; storing the physiological data and the environmental data from the one or more sensors onto a secured storage device; receiving, by a transceiver, a request to access the physiological data; accessing, by a processor, a security profile for the physiological data, wherein the security profile defines a normal range for the physiological data and defines environmental data compliance; and providing access to the physiological data based upon a determination that the physiological data is outside the normal range for the physiological data and based upon a determination that the environmental data is in compliance with the security profile.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: According to one exemplary embodiment, a method for an automatic memory cloud is provided. The method may include detecting a trigger event. The method may include activating the automatic memory cloud based on detecting the trigger event. The method may include determining if new data is found on a primary device connected to the activated automatic memory cloud, wherein the new data has a data type and a data size. The method may include selecting a destination device from a plurality of secondary devices connected to the activated automatic memory cloud based on determining that the new data is found on the primary device, whereby the selected destination device has an available storage exceeding the data size and a usage type matches the data type associated with the new data. The method may include sending an instruction to transfer the new data from the primary device to the destination device.

Abstract: An apparatus can include a housing, a plunger configured to reciprocate along an axis within the housing, and an internal fluid chamber disposed in the housing. A valve, having a valve base and a deformable seal, can also be included in the apparatus. The apparatus can further include a seat having an aperture therein. The valve is configured to move into and out of contact with the seat when the plunger reciprocates within the housing, based upon a fluid pressure in the internal flow chamber. In addition, an outer diameter of the deformable seal of the valve is less than an outer diameter of the seat.