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Accurate temperature monitoring of the silicon substrate remains to be a key issue for application of novel microwave annealing technology in advanced semiconductor processing. In this paper, a calibration system for temperature monitoring using infrared thermometer pyrometer is designed and temperature accuracy of silicon substrates with various doping concentrations is analyzed. Furthermore, an...
This paper presents bistatic scattering response of rice canopy over growth stages based on a three-layer microwave scattering model, which is developed using the iterative solution of the vector radiative transfer equations up to the second order, and the dense medium phase and amplitude correction theory (DM-PACT) is used to improve the phase matrix taking coherent effects into account. To validate...
Transformer online operation state directly influences the operation state of the whole power system. A transformer online operation state assessment method is proposed in this paper. This method is based on history, real-time, future operation data of transformer, and five evaluation models for device, maintenance, state, operation, and plan are established. Six category twenty-five sub-index es...
Mine security detecting crawling robot is a kind of remote-controlled security detecting robot with multiple sensors, which can replace human work in such complex environments as special places of coal mines, undesirable conditions unaccessible to humans or disasters of fire, earthquake and mining. It can carry out medium range search, fixed-point detection, real-time data transmission in a remote...
In our study we apply the principal-agent model to study credit contract proposed by banks to motivate third-party logistics firms (TPL) and consider supervision as an important variable. Our results indicate that when supervision is introduced into contract, TPL can be motivated to work more efficiently. In particular, we give bank' efficient supervision set and bank can be better off by keeping...
Petrochemical plants are extremely complex systems with many dynamically interconnected components. Traditional approaches to fault detection and diagnosis of these complex systems follow a centralized design in which huge and sophisticated models (e.g., first principle models) are constructed to process sensor data acquired from the entire plant. These systems are very difficult to design due to...
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