Numerical Modeling of the Anomalous Low-Temperature Dependence of the Tunneling Conductance of a "Dirty" N-I-N Junction

Abstract

A numerical study of the low-temperature tunneling conductance G(T) of the “dirty” (low concentrations of the same non-magnetic impurities in the I layer) N-I-N junction (N is a normal metal; I is an insulator) with random quantum jumpers penetrating the disordered I-layer is performed. In a wide range of low impurity concentrations, the dependence G(T) anomalously, both qualitatively and quantitatively, differs from the corresponding dependence G0(T) in the “pure” (without impurities in the I layer) N-I-N junction. The numerical analysis of the dependence G(T) shows the possibility of the experimental manifestation of these anomalies.

Application of Internet of Things Based on Wireless Sensor in Tunnel Construction Monitoring

“…Kirpichenkova and others used a Jikang static leveling system, Campbell data acquisition system, wireless transmission module, and automatic acquisition software to form an automatic real-time monitoring system and applied the automatic realtime monitoring technology to the crossing project of a rail transit line. The system can realize data acquisition and transmission once a minute, process and analyze data in real time, realize data alarm and chart analysis, enable the construction party to adjust the speed and direction of shield propulsion in time during crossing construction, and facilitate analysis and summary after construction [3]. Ootani and others combined the static level and displacement meter to establish an omnidirectional displacement (deformation) real-time monitoring system.…”