Lear Corporation

Tata Consultancy Services Limited

Sameer Deshpande

Daniel Cirujano Cuesta

Jordi Virgili Margalef

Nandkishor Janardan Mardikar

Kanaga Ganesan

Sanjay Gupta

Petru Macovei

Shivaranjani C Sulikeri

Gema Barreda Martinez

Nandkishor Janard An Mardikar

Embodiments for modeling and simulation of one or more architecture models for Big Data of an organization are described. In one example, at least one user requirement and set of model requirements are received from a user associated with the organization, where the set of model requirements is indicative of information relating to the one or more architecture models. Subsequently, one or more architecture models are generated for providing recommendation to the user, where the one or more architecture models are generated based on the at least one user requirement and the set of model requirements. Further, the one or more architecture models are simulated to ascertain performance of each of the one or more architecture models based at least on a pre-defined specification of architecture components associated with each of the one or more architecture models.

Modeling and simulation of infrastructure architecture for big data

This disclosure relates generally to information security, and more particularly to implementation and management of information security of a Big Data environment of an organization. In one embodiment, security related inputs are received from a user and are converted into security requirement. Thereafter, a security policy template is identified from plurality of pre-defined security policy templates based on security reference architecture and the security requirement. The security policy template represents a plurality of security controls. Thereafter, one or more security controls are selected from the security controls based on the security requirement. Further, one or more existing security controls implemented in Big Data environment are identified. Thereafter, the selected security controls are compared with the existing security controls for determining a security control that is not implemented in the Big Data environment. Subsequently, the security control is implemented in the Big Data environment to provide security to the Big Data of the organization.

Implementation and management of information security for distributed data storage systems

A system, method and product for determining a vehicle key fob location. The system may include a control unit for mounting in a vehicle and configured to receive multiple signals, each representing a strength of a wireless signal transmitted between the fob and one of multiple antennas located on a vehicle, and multiple neural networks having a cascade topology. The neural networks may include a first neural network for determining one of a vehicle internal position and a vehicle external position of the fob based on the wireless signal strengths, a second neural network in communication with the first neural network for determining one of multiple vehicle interior positions of the fob based on the wireless signal strengths, and a third neural network in communication with the first neural network for determining one of multiple vehicle exterior positions of the fob based on the wireless signal strengths.

System, method and product for locating vehicle key using neural networks

In at least one embodiment, an apparatus for determining a locating a wireless device with respect to a vehicle is provided. The apparatus comprises a controller for being operably coupled to a plurality of antennas in a vehicle and each antenna transmitting a first wireless signal to a wireless device to locate a primary antenna. The primary antenna being one of the plurality of antennas that transmitted the first wireless signal at a strongest signal strength. The controller being configured to store a first signal strength for a first control point that is positioned about the vehicle and away from the primary antenna. The controller being configured to determine the location of the wireless device based on a comparison of the first signal strength to the strongest signal strength.

Apparatus and method for wireless device detection

Growing community of inventors

Thane, India

Sameer Deshpande