The study can find practical applications in the magnetic resonance, 3D visualization of computational data and in designing of optimized information processing devices for quantum computation and communication.
SPINE [8] is a range-based positioning system that enables verifiable multilateration and verification of positions of mobile devices for secure computation in the presence of attackers.
In this study, we present two real-time architectures using resource constrained FPGA and GPU devices for the computation of a new algorithm which performs tone mapping, contrast enhancement, and glare mitigation.
In our game model, the cloud computation resource and mobile device are assumed as players, which are denoted as player_1 (i.e., mobile device for local computation) and player_2 (i.e., cloud resource for remote computation).
As an emerging computing mode, mobile cloud computing (MCC) [11], due to scalable cloud environment, offers an opportunity to extend resource-constrained wireless device capabilities for computation-intensive and energy-hungry applications by offloading of jobs that take place from itself to the cloud.
Thus, the required SNN hardware architecture must be different for reconfigurable devices, opening new possibilities for computation optimization.
It must be noted, however, that many of the devices we use regularly for computation are unverifiable in the strictest sense.
In this paper, we conceive the idea of utilizing device-to-device (D2D) communications as the infrastructures for computation and communication.
The finite element calculation is performed at macroscopic level and trained neural networks are employed as numerical devices for substituting the finite element computation needed for the mesoscale prediction.
With rapid strides being made in mobile computing technology, today smart phones are not just devices for mobile communications and small computations, but may also be considered as a full scale PC embedded with a rich set of sensors such as accelerometers, GPS, Microphone, Camera and Ambient Light Sensor.
