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Virtual instruments is a program that implements functions of an instrument by software which could replace the work of real instruments to save resources. The functions of these sensor-based systems are limited and they commonly cannot manage related information, such as sensors and monitoring objects, due to special requirements. The procedure of development and integration often suffers from low...
Recent years witness the prevalence of IaaS (Infrastructure as a Service) cloud services. Virtual machines (VMs) are provided to users as a kind of product by IaaS providers. New computing architecture makes it difficult for traditional forensics tools to collect evidences from the target VM. In this paper, we propose a novel proactive forensic approach named VMForensics, which provides both dynamic...
Rolling contact fatigue (RCF) was found on wheels of a type of Chinese high speed trains with a designed speed of 250 km/h. To understand its initiation mechanism and isolate the dominant parameters, a statistical analysis was first conducted based on observations of 47 trainsets. Subsequently, a monitoring test covering 2–3 periods of wheel re-profiling was performed in parallel with numerical analyses...
Detecting the abnormal behavior of the network through the network measurement is very important for network security. In high-speed networks, it is difficult and unrealistic to perform per-packet analysis with limited computing resources. Packet sampling can greatly reduce the consumption of computing resources. In this paper, we compare five measurement methods based on sampling from theory and...
In the paper, we modelling for information theft Trojan based on Stochastic Game Nets (SGN), a novel modelling method which good at multirole game problem described, and has been applied in many fields of networks with interactive behaviors. Combination the SGN and practical problem, we present an algorithm for solving the equilibrium strategy to computer the model of SGN. Finally we analyse our research...
Virtual instrument system has received amounts of attention and become a common practice in many fields. Virtual instrument is a program that implements functions of an instrument by software which could replace the work of real instrument to save resources. The functions of these systems are limited and they commonly have little related information about sensors, navigation, monitoring objects due...
As there are always changes in trust level, organization structure, attributes of the subject, time strategy and so on, which will cause subject pemissions' change. The traditional static authorization based access control model is not appropriate in this condition. In this paper, a model which can support dynamic authorization according to these changes is discussed. This model not only has strong...
Based on the monitoring data of June 2009 from Xinxue River Constructed Wetland, Shandong, China, the research was done to reveal the variations of COD, NH3-N, TN and TP in multistage series constructed wetland system. The results showed that the constructed wetland had a fairly good purification efficiency to the polluted water of Xinxue River, and the concentration of various pollutants gradually...
As the development of Condition Based Maintenance (CBM), condition monitoring and prognostics are playing increasingly important parts in maintenance plans which can extract the fault onsets in running process and make maintenance strategy before component failure. Condition classification applied in condition monitoring with a significant deterioration process can classify the equipments' conditions...
This research investigated the distribution of eutrophication degree in Nansi Lake using remote sensing data. Nine sampling points were monitored with Chla, TP and TN three parameters in upper lake of Nansi Lake. TSI of each sampling points was calculated using Carlsonpsilas TSIM. Then the linear model between remote sensing data and TSIM of each field monitoring points in upper lake of Nansi Lake...
This research investigated the distribution of Chlorophyll-a and suspended substance (SS) in Nansi Lake using remote sensing data. The correlation between the Landsat5 TM data and the field measurement for water quality was analyzed using Pearson distribution theory. The remote sensing inversion model of Chlorophyll-a and SS in Nansi Lake as indexes of water quality were also established.
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