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Through the continuous collection and in-depth analysis of the quality monitoring data of colleges and universities, we combine the efficiency processing of big data and data evaluation, monitor the status of higher education normally, and construct a higher education quality monitoring and evaluation platform based on Spark. This platform is teaching centered with schools as its basis, including...
Radio Frequency Identification (RFID) technology has been widely used in missing tag identification to reduce the economic loss caused by theft. Although many advanced works have been proposed, they cannot work properly in an open RFID system with unexpected tags. To solve the problem, this paper proposes an order-based missing tag identification protocol (OMTI) that efficiently identifies all missing...
It's very important to detect the leakage of oil pipeline timely and accurately in order to reduce the losses and ensure the smooth operation of oil pipeline. However, the leakage monitoring of the pipeline is difficult because normally the pipeline is very long and is often buried underground or underwater. Brillouin optical time domain reflectometry (BOTDR), which can distributedly measure the temperature...
This paper focuses on monitoring and diagnosis problems to the antenna system in mobile communication network. Based on network management measurement report (MR) data, traffic statistics, frequency scan data and basic engineering parameters, the fault of antenna system in network could be found through noise filtering algorithm, inter-modulation interference analysis algorithm, correlation algorithm,...
In satellite navigation the receivers should be zero-value calibrated in order to measure the zero-value offset, and calibration modes of different types of receivers are also different, which should be studied with pertinence solutions. Through analyzing the characteristics of different types of receivers, the paper studies a zero-value calibration method of the BeiDou monitoring receiver (UniNAV...
One of the underpinnings of Cloud Computing security is the runtime integrity of individual Cloud servers. Due to the on-going discovery of runtime software vulnerabilities like buffer overflows, it is critical to be able to gauge the integrity of a Cloud server as it operates. In this paper, we propose scoped invariants as a primitive for analyzing the software system for its integrity properties...
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