Safety is a paramount requirement and risk-based safety management has been carried out in civil air transportation. One approach to improve safety is to provide regulations and standards for subsystems such as aircraft systems. For their implementation, safety assessments are required to determine whether the estimated risk is acceptable or not. Many trials of risk assessment such as collision risk evaluation have been carried out. In addition to such standards for subsystems, as a proactive strategy, safety management is now required for the states and service providers associated with the safe operation of aircraft. This paper overviews the transition of approaches for improving aviation safety and briefly describes the methods of risk assessment and the concept of safety management.
Under the amended act on the protection of personal information, biometric authentication data are now clarified as personal information. The relationship between biometric authentication and the amended act is reported in this paper.
An optimization method based on energy minimization of the Ising Hamiltonian has been proposed in recent research (S. Utsunomiya et al., Optics Express 19, 2011). Large-scale implementation of such a high-speed optimization method has also been proposed. (T. Inagaki et al., Science, 234, 2016). This paper introduces the quantum neural networks, that can be realized by high-speed devices and applies them to combinatorial ptimization problems. In such schemes using quantum neural networks, an objective function for target optimization problems has to be implemented on mutual connections. In this paper, a mutually connected neural network has been implemented on quantum neural networks to solve combinatorial optimization problems. The simulation results show that quantum neural networks can solve combinatorial optimization problems.