Abstract: A method for authenticating a communication session in a metaverse environment may be provided. The method may include authenticating a user device and an entity associated with the virtual kiosk in order to initiate the communication session. The authenticating of the user device may include confirming that a selected base 3D mesh matches a pre-selected base 3D meshes stored within an identity profile associated with the user's device. In response to the confirming, the method may include authenticating the user's device. The method may further include authenticating the virtual kiosk by distorting the pre-selected base 3D mesh to generate a distorted base 3D mesh and comparing the distorted base 3D mesh to a static distorted base 3D mesh stored at the user's device. The method may also include confirming that the generated distorted base 3D mesh matches the static distorted base 3D mesh and authenticating the virtual kiosk.

Abstract: A method for authenticating a communication session in a metaverse environment may be provided. The method may include authenticating a user device and an entity associated with the virtual kiosk in order to initiate the communication session. The authenticating of the user device may include confirming that a selected base 3D mesh matches a pre-selected base 3D meshes stored within an identity profile associated with the user's device. In response to the confirming, the method may include authenticating the user's device. The method may further include authenticating the virtual kiosk by distorting the pre-selected base 3D mesh to generate a distorted base 3D mesh and comparing the distorted base 3D mesh to a static distorted base 3D mesh stored at the user's device. The method may also include confirming that the generated distorted base 3D mesh matches the static distorted base 3D mesh and authenticating the virtual kiosk.

Abstract: Systems and methods for generating synthetic data using federated, collaborative, privacy preserving learning models are disclosed. In one embodiment, a method for generating synthetic data from real data for use in a federated learning network may include: (1) conducting, by a backend for a first institution of a plurality of institutions in a federated learning network, a transaction comprising transaction data; (2) generating, by the backend for the first institution, local synthetic data for the transaction data using a local synthetic data generating model; (3) sharing, by the backend for the first institution, the local synthetic data with a plurality of backends for other institutions; (4) receiving, by the backend for the first institution, global synthetic data from the plurality of backends for the other institutions; and (5) training, by the backend for the first institution, a local machine learning model with the global synthetic data.

Abstract: Three solutions for an automatic critical health care service system are proposed. First two solutions include a mobile phone device, a service provider system, a home hospital system and a nearest hospital system. The third solution also includes a RF ID technology based storage means. The mobile phone device comprises location measurement means, storage means, tagging means, wireless ground communication means and wireless satellite communication means; solution 3 includes RF ID reader means. The service provider system comprises storage means, wireless ground communication means, wireless satellite communication means, wired communication means, tagging means and Geographic and Health Data Retrieval Means (in solution 2 and 3 this is Geographic Data Retrieval Means). The home hospital system comprises mobile receiver means and storage means (storage only in solution 1). The nearest hospital system comprises mobile receiver means, email receiver means and fax receiver means (fax only in solution 1).

Abstract: An automatic mobile speed violation detection and response system for identifying vehicles traveling in excess of a predetermined speed and providing a response to this violation is proposed. The mobile speed violation detection device includes: measurement of target vehicle speed and outputting signal indicative of the measured speed; capturing license plate data on the RF ID tag affixed to the target vehicle when vehicle exceeds the predetermined speed; identifying the location of the speed violating vehicle; tagging the captured RF ID based license plate data with vehicle speed and location data; wireless communication of transmitting speed, license plate data, location data and local speed limit to and from the information system.