No abstract

Random beacons play a crucial role in blockchains. Most random beacons in a blockchain are performed in a distributed approach to secure the generation of random numbers. However, blockchain nodes are in an open environment and are vulnerable to adversary reboot attacks. After such an attack, the number of members involved in a random number generation decreases. The random numbers generated by the system become insecure. To solve this problem while guaranteeing fast recovery of capabilities, we designed a threshold signature scheme based on share recovery. A bivariate polynomial was generated among the participants in the distributed key generation phase. While preserving the threshold signature key share, it can also help participants who lost their shares to recover. The same threshold setting for signing and recovery guarantees the security of the system. The results of our scheme show that we take an acceptable time overhead in distributed key generation and simultaneously enrich the share recovery functionality for the threshold signature-based random number generation scheme.

analog TV goniometer Angle deviation signal is generated by the goniometer detector conditions necessary for the performance test, based on the analysis of the working principle of the goniometer, on the basis of using the FPGA technology to TV goniometer Angle deviation signal simulation, after finished the hardware design, the design of the FPGA module inside, and carries on the simulation, the results show that this system can accurately simulate the Angle deviation signal of the goniometer.

The equipment storage condition monitoring technology research equipment equipment full life cycle environmental temperature and humidity, vibration impact stress and location information such as the attitude of the real-time data acquisition and processing analysis of equipment equipment maintenance and management is the effective supplement. Based on the equipment storage state information definition warning rate new indicators, and establish the ARMA forecasting model. performance is not the same as the state of the difference between the equipment equipment change maintenance and quality management plan.

Navigation signals should be steadily tracked to allow the extraction of navigation information, and support the calculation of navigation solution. Generally, extraction of navigation information is realized by GNSS tracking loops, which need to implement two critical operations: 1) tracking parameters should be precisely estimated in order to reliably decode the navigation message. 2) Successive tracking method of navigation information. This paper proposes a novel tracking framework using dynamic FLL assisting PLL strategy and a loop state detection monitor. The new framework extends traditional phase and delay locked loop (PLL/DLL) tracking framework, and contributions mainly lie in two parts. A dynamic framework for parameters adjustment is proposed to avoid tracking failure due to the change of environment, which is complemented in a FLL-PLL cooperative framework. Experimental results demonstrate the advantages of our algorithm compared with standard PLL/DLL framework. It is shown that the algorithm proposed is more suitable for tracking under signal attenuation situation, while maintaining high performance at the same time.