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The scale of the modern city has been expanding, which leads to a lot of serious environmental pollution problems. Among them, the air pollution problem is the most prominent. In order to control the air pollution in urban cities, the government has deployed a lot of air pollutant monitoring equipment which produce massive multi-dimensional time series data. Through the motif discovery and analysis...
In this paper, a novel polarization mode dispersion (PMD) monitoring method by adding auxiliary optical signal is presented. Based on four-wave mixing (FWM), the PMD can be monitored in all-optical domain by measuring the power of the idler wave. With the help of auxiliary signal, the change trend of idler wave power with PMD will be enlarged, which expands the scope of monitoring and improves the...
As modern unmanned aerial systems (UAS) continue to expand the frontiers of automation, new challenges to security and thus its safety are emerging. It is now difficult to completely secure modern UAS platforms due to their openness and increasing complexity. We present the VirtualDrone Framework, a software architecture that enables an attack-resilient control of modern UAS. It allows the system...
According to the problem of the rising sub-health people and the potential undetectable chronic diseases, this paper researches and develops a kind of portable ECG health monitoring system, which can make real-time acquisition about ECG information in the high degree of portable, reduce the patients' psychological pressure with not to be restricted on the use scene, and implement a daily ECG healthy...
In recent years, air quality has become a severe environmental problem in China. Since bad air quality brought significant influences on traffic and people's daily life, how to predict the future air quality precisely and subtly, has been an urgent and important problem. In this paper, a Spatio-Temporal Extreme Learning Machine (STELM) method is proposed for air quality prediction. STELM considers...
We propose a first-order Polarization Mode Dispersion (PMD) monitoring technique for phase-modulated optical signals utilizing the cross-phase modulation (XPM) effect between the input signal and the inserted continuous-wave probe in parallel connection. Because of accumulation of PMD, the XPM effect in nonlinear fiber leads to variation of pump phase. This can cause spectrum broadening resulting...
Network bandwidth is a critical resource for tenants in cloud datacenter. Early researches assume that tenants are aware of bandwidth demands of the virtual machines, and a fixed bandwidth capacity can be satisfying. However, bandwidth demands of different virtual machines are complex and time-varying and it is insufficient to re-allocate the resource when congestion or low utilization occurs. Our...
This paper is concerned with the problem of event-triggered distributed H∞ filtering for a class of networked systems with sensor networks. First, an event-triggered scheme is introduced to select those necessary data packets to be transmitted for filter design. As a result, communication and energy resources can be significantly saved while some certain system performance can be preserved. Second,...
This article describes the toxic, flammable software and hardware design methods of gases wireless monitoring network nodes based on sensor array. By collecting signals with gases sensors and receiving and emitting data with wireless sensors network, we can measure the gas concentrations. We describe the toxic and flammable gas concentration measuring circuit and illustrate the theory. We choose the...
For more serious network security threat, security tools, also developed rapidly, but a fundamental limitation of traditional host-based anti-malware systems is that they run inside the very hosts they are protecting, making them vulnerable to counter-detection and subversion by malware, so VMM-based anti-malware systems have recently become a hot research field. Based on the analysis of existing...
This paper investigates the stopping criteria for Monte-Carlo (MC)-based yield optimization of analog integrated circuits. Available stopping criteria are briefly reviewed and a new adaptive criterion, called combined global and local improvement (ComImp) is presented. Experimental results show that the proposed stopping criterion has the following two advantages: (1) low risk of early termination...
We demonstrate a novel wireless sensors network available for multi-dimension and multi-parameter measurement based on fiber Bragg grating sensing units. The combination of wireless communication with the fiber Bragg grating sensors obtains obvious advantages including inherent immunity to electromagnetic interference, compact size and high sensitivity compared with conditional wireless sensing network...
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