AT&T Intellectual Property I, LP

Amazon Technologies, Inc.

Samsung Electronics Co., Ltd.

Rovi Guides, Inc.

International Business Machines Corporation

Freescale Semiconductor,inc.

Vmware, Inc.

Microsoft Technology Licensing, LLC

Google Inc.

Nxp Usa, Inc.

Oracle International Corporation

Emc IP Holding Company LLC

At&t Mobility II LLC

Motorola Mobility LLC

Jpmorgan Chase Bank, N.a.

Gaurav Gupta

Rajendra Prasad Kodaypak

Vivek Mhatre

Vishwas Sharadanagar Panchaksharaiah

Ashwini Dharwa

Harsha Neerakani

Arindam Mondal

Rohit Pradeep Shetty

Timothy Andrew Rath

Michael Peirce

Arun Ramakrishnan

Conor Robert White

Dumanshu Goyal

Stephan Matthias Herrmann

Mustafa Ozan Ozen

Nimit Dineshbhai Kalaria

Paul B Crosbie

Arunvijai Sridharan

Vibhu Rastogi

Rachid M Alameh

Martin Rabindra Pais

Saad Syed

Gaurav Saxena

Sushant Pramod Rewaskar

Jacob Carr

Sandeep Bhatia

Mark Aran Aiken

Matthew Hamilton Battles

Ankit Kumar

Chanpreet Singh

Corey M Sanders

Aaron Ben Fernandes

Brian Thomas Kachmarck

Raghunathan Kothandaraman

Lonnie J Princehouse

Ashish Kumar Singh

Rahul Jain

Pradeep Desai

Srinivas Kandula

Naveen Anand Subramaniam

Sasanka Rajaram

Deep Dixit

Atilim Cetin

Lokesh Mathur

Sonu Agarwal

Mugunthan Srinivasan

Roopesh Nair

Eric Coll

Abhishek Jatram

Srikrishna Bandi

Balaji Hariharan Chandra

John McFarland Harris

Jiansong Wang

Anil Kv Kumar

Christopher A Peri

Lovekesh Vig

Ryan Redfern

Kaushal Kiran Kapadia

Albee Jhoney

Pavel Anatolievich Dournov

Maninder Singh Sehmbey

Arthur Joseph Kalb

Gaurav Goyal

Muhammad Umer Azad

Mukul R Jain

Ashish B Shah

Naveen Kumar Jain

Vijay R Kalangumvathakkal

Monika Sharma

Todd F Pfleiger

Vivek Chawda

Shreya Singh

Aloknath De

Luis Irun-Briz

Charles T Lenzmeier

Akshay Bhandari

Ehtesham Hassan

Suresh Giri

Rajesh Bahekar

Akram Hassan

Rajib Basu

Ashish Goel

Rajaram Hanumantacharya Naganur

Michael F Spence

Vaisakh Punnekkattu Chirayil Sudheesh Babu

Kapil Kumar

Saket Saurabh

Aayush Asawa

Bipin B Malhan

Nabanita Maji

Rohit Srivastava

Chandrasekharan N Mana

Dinesh Babu Thirukondan Gnaneswaran

Shalini Sharma

Ivan Santa Maria Filho

Sri Lakshmi Punuru

Reinhard Glueck

Mahammadrafi Raimansab Maniyar

Hemanth Kumar Kilari

Nirmesh Khandelwal

A method for determining a health of a display assembly of a foldable electronic device is provided. The method includes detecting a sequence of folds of the display assembly of the foldable electronic device. Further, the method includes determining a first plurality of parameters associated with the sequence of folds of the display assembly. Further, the method includes determining a second plurality of parameters associated with a concentrated load on the display assembly. Further, the method includes determining a residual stress for the display assembly based on the first plurality of parameters and the second plurality of parameters. Further, the method includes determining the health of the display assembly based on the residual stress for the display assembly of the foldable electronic device.

Foldable electronic device and method for determining health of display assembly

Methods for a metadata driven application programming interface (API) creation service are disclosed. In one embodiment, a computer-implemented method may include: (1) generating, by an API service application program, a query including request data received in an API request, (2) determining, by the API service application program and based on the request data, a target database associated with the API request, (3) executing, by the API service application, the query on the target database to retrieve a result including a target dataset, the target dataset including target metadata, (4) mapping, by the API service application program, the target metadata to format data compatible with program code for building an API responsive to the API request, and (5) creating, by the API service application program and utilizing the program code, the API based on the formatted target metadata.

Methods for metadata driven application programming interface creation

Embodiments disclosed herein relate to electronic devices, and more particularly to estimating a damage risk level for an electronic device. A method disclosed herein includes measuring motion parameters of the electronic device, on the electronic device being dropped on a surface. The method further includes classifying the surface into at least one type by processing the measured motion parameters using a classifier module. The method further includes estimating a damage risk score depicting the damage risk level for the electronic device based on the classified surface, the measured motion parameters of the electronic device, and a usage history of the electronic device.

Methods and systems for estimating damage risk due to drop of an electronic device

Methods and systems for managing unlocking of an electronic device are provided. A method includes receiving an unlocking input from a user, authenticating the unlocking input, generating a first pre-wakeup command of initializing a progress action for the electronic device, generating a second pre-wakeup command of whether to complete the progress action or to retrogress the progress action based on the authenticating of the unlocking input, and determining whether to unlock the electronic device based on the second pre-wakeup command.

Method and apparatus for managing unlocking of an electronic device

The embodiments herein disclose methods and systems for monitoring health of eyes of a user, a method includes determining ambient light around an electronic device of the user. On determining that the ambient light is below a pre-defined threshold, the method includes determining a lumen output of at least one content to be displayed in at least one of a continuous manner and at pre-configured intervals. Based on the determined lumen output and at least one user profile, the method includes estimating a variation in a pupil size of the user. Further, the method includes generating an eye health index for the user based on the estimated variation in the pupil size of the user. Further, the method includes tagging the at least one content as safe based on the eye health index for viewing the at least one content.

Electronic device for monitoring health of eyes of user and method for operating the same

Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

System and methods for recommending a media asset relating to a character unknown to a user

An apparatus can manage a folding performed on a flexible device. The apparatus includes a foldable display, at least one sensor coupled to the foldable display, and a processor. The at least one sensor includes at least two sensing elements each of the at least two sensing elements is arranged asymmetrically with respect to each other along the foldable display. The processor is configured to determine at least one of a location and an angle of folding of the foldable display based on sensed values detected from the at least two sensing elements. The processor is also configured to render content on the foldable display based on the location and the angle of the folding.

Method and a flexible apparatus managing a folding thereof

One or more protocols between a control plane entity (e.g., a mobility management entity (MME)) and its peer nodes (e.g., mobile switching center (MSC) and/or short message service center (SMSC)) are enhanced to improve short messaging services for Internet of things (IoT) devices. Oftentimes, IoT devices enter an extended sleep mode during which they cannot be reached by the control plane entity. In one aspect, the control plane entity can determine a wait period based on information, such as, but not limited to, device context data, mapping tables, policy data, commercial traffic data, latency data, device delay tolerance, sleep mode timer values, etc. The wait period can be provided to the peer nodes, which can utilize the wait period to control one or more message retry mechanisms based on IoT device behaviors resulting in an improvement of overall IoT service behaviors and a delivery of superior IoT customer experience.

Signaling optimization during short messaging for internet of things devices in a mobility network

Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers. Upon determining that the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier, the media guidance application may update the current deletion classifier to the new deletion classifier.

System and method for classifying recorded content for deletion

An electronic device is provided. The electronic device includes a bezel as a first metallic component, a dial as a second metallic component to form a capacitor with the bezel, an inner ring as a dielectric disposed between the bezel and the dial, at least one processor configured to obtain a capacitance value generated by a touch input on the bezel.

Wearable device with a bezel to sense a touch input

A method for hand pose tracking in a virtual reality (VR) environment by a wearable device is provided. The method includes calibrating a plurality of sensors configured to detect an orientation of fingers with respect to a hand of a user, identifying sensor data obtained by the plurality of sensors, and tracking a pose of the hand based on the sensor data.

Method for tracking hand pose and electronic device thereof

A wearable device and a method for performing one or more actions using a wearable device are disclosed. The wearable device includes a bezel ring, a watch dial a flexible ring, and a plurality of springs. The bezel ring includes a plurality of holes along a circumference of the bezel ring for placement of a plurality of magnets. The watch dial includes an outer periphery with another plurality of holes at a uniform distance. The watch dial also includes an inner periphery to house inertial sensors at a predetermined position. The flexible ring placed in between an inner surface of the bezel ring and the watch dial. A plurality of springs are placed within the other plurality of holes of the outer periphery of the watch dial. The bezel ring is configured to support at least one of tilting, shifting and rotation over the watch dial.

Wearable device with bezel ring to enable motion in multiple degrees of freedom

Techniques disclosed herein provide an approach for identifying application dependencies in a hybrid environment in which one or more applications run in operating system (OS)-less containers. One embodiment provides a computer-implemented method that includes monitoring network traffic at one or more host computer systems, wherein OS-less containers run in at least one of the host computer systems. The method further includes monitoring network traffic at virtual bridges to which the OS-less containers are attached, and identifying network dependencies based on the monitored network traffic at the host computer systems and the monitored network traffic at the virtual bridges. In addition, the method includes determining the application dependencies based on the identified network dependencies.

Container-aware application dependency identification

Systems and methods are provided for automatically orchestrating the handling of events through a processing pipeline without limitation (or without a substantial limitation) as to the size of the event payload associated with the event. The event pipeline system stores event payloads in data stores and generates notifications regarding the events. The notifications may be placed into event streams for handling by various processing components of the event pipeline system. The processing components may receive notifications or events that they are to process, and may separately access event payloads from the data stores. The processing components may generate and save processed event payloads to the data stores in a streaming fashion such that the computing resources of the processing components do not limit (or substantially limit) the size of the event payloads that the processing components may handle.

Architecture for large payload handling in event pipeline

In one example, a request to migrate an application running on a first compute node to a second compute node with a change in a version of the application may be received. Migration information may be provided to a cloud-based Migration as a Service provider based on the request. An application migration component may be received from the cloud-based Migration as a Service provider based on the migration information. Further, the application migration component may be executed to migrate the application from the first compute node to the second compute node with the change in the version of the application.

Migration as a service-based applications migration

Growing community of inventors

Bengaluru, India

Gaurav Gupta