A Machine-to-machine (M2M) terminal (11) comprises a radio communication unit (111) and a controller (112). The radio communication unit (111) is configured to communicate with a base station (13). The controller (112) is configured to change at least one of a cell selection operation, a cell reselection operation, and a handover operation according to whether a specific coverage enhancement processing is required or according to whether the specific coverage enhancement processing is supported by at least one of a cell (13) in which the M2M terminal (11) camps on and a neighbouring cell (14) of the cell (13) which the M2M terminal (11) camps on. It is thus possible to provide an improved technique for allowing the M2M terminal that is supporting a special coverage enhancement processing for M2M terminals to camp on an appropriate cell.

Systems, methods and computer program products for controlling access to data owned by an application subscriber using two-factor access control and user partitioning are disclosed. In one embodiment, applications are executed on a multi-tenant application platform in which user partitions designate associated users and authentication services for those users. Tenants may subscribe to the applications and may allow access to the subscriptions through designated entry points. Users that are authenticated according to the corresponding user partition and access the application through the designated entry point are allowed to access the application through the tenant's subscription.

Systems, methods and computer program products for controlling access to data owned by an application subscriber using two-factor access control and user partitioning are disclosed. In one embodiment, applications are executed on a multi-tenant application platform in which user partitions designate associated users and authentication services for those users. Tenants may subscribe to the applications and may allow access to the subscriptions through designated entry points. Users that are authenticated according to the corresponding user partition and access the application through the designated entry point are allowed to access the application through the tenant's subscription.

A software defined radio type radio receiver is used in an environment that is self-sufficient in energy. The radio receiver has a receiving device, which receives the data in the form of a data packet or a portion thereof or a data stream at a certain data rate, and provides the data for further data processing. Wherein in an operating mode, the data is diverted at the receiving device and supplied to a microcontroller at a sampling rate which preferably can be defined. The microcontroller decimates the data by selecting a subset from the set of samples, and the microcontroller buffers in a memory and provides for further processing the decimated data.

A software defined radio type radio receiver is used in an environment that is self-sufficient in energy. The radio receiver has a receiving device, which receives the data in the form of a data packet or a portion thereof or a data stream at a certain data rate, and provides the data for further data processing. Wherein in an operating mode, the data is diverted at the receiving device and supplied to a microcontroller at a sampling rate which preferably can be defined. The microcontroller decimates the data by selecting a subset from the set of samples, and the microcontroller buffers in a memory and provides for further processing the decimated data.

A Machine-to-machine (M2M) terminal (11) comprises a radio communication unit (111) and a controller (112). The radio communication unit (111) is configured to communicate with a base station (13). The controller (112) is configured to change at least one of a cell selection operation, a cell reselection operation, and a handover operation according to whether a specific coverage enhancement processing is required or according to whether the specific coverage enhancement processing is supported by at least one of a cell (13) in which the M2M terminal (11) camps on and a neighbouring cell (14) of the cell (13) which the M2M terminal (11) camps on. It is thus possible to provide an improved technique for allowing the M2M terminal that is supporting a special coverage enhancement processing for M2M terminals to camp on an appropriate cell.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

The present invention provides for fabricating virtual networks and allocating request-notifications therein for providing support-services securely and efficiently. In operation, a virtual network is fabricated based on network-registration requests received from plurality of computing devices. Further, a primary data structure representative of registered computing devices categorized into devices offering services and requiring services is generated based on information embedded in network-registration requests. Furthermore, a secondary data structure is generated by sub-categorising categorised computing devices based on information embedded in network-registration requests. Yet further, request-notifications for completing incoming support-requests from registered computing devices requiring services are generated. Subsequently, request-notifications are allocated based on evaluation of one or more computing devices offering services out of plurality of computing devices based on data mapping using primary data structure, secondary data structure, and predefined attributes. Finally, support-information sharing and tracking of request-notifications are enabled based on acceptance of request-notification by evaluated computing devices.

The present invention provides for fabricating virtual networks and allocating request-notifications therein for providing support-services securely and efficiently. In operation, a virtual network is fabricated based on network-registration requests received from plurality of computing devices. Further, a primary data structure representative of registered computing devices categorized into devices offering services and requiring services is generated based on information embedded in network-registration requests. Furthermore, a secondary data structure is generated by sub-categorising categorised computing devices based on information embedded in network-registration requests. Yet further, request-notifications for completing incoming support-requests from registered computing devices requiring services are generated. Subsequently, request-notifications are allocated based on evaluation of one or more computing devices offering services out of plurality of computing devices based on data mapping using primary data structure, secondary data structure, and predefined attributes. Finally, support-information sharing and tracking of request-notifications are enabled based on acceptance of request-notification by evaluated computing devices.