ABSTRACT:In this paper, we research on the limited local resources problem which exists in the online monitoring system of the work field. Visualization technology is used for the Equipment anomaly detection. We need to solve two problems in order to save local resources and improve monitoring efficiency. Firstly, anomaly real-time data which can be made
(Read More…)
The problems of time series widely exist in the social production and life, so the research on analysis of time series has great significance. In this thesis, the purpose is to implement the anomaly detection of multivariate time series. Anomaly detection has provided people with a lot of valuable information in the financial field, hydrology,
(Read More…)
Vehicle trajectory represents the vehicle behavior intuitively. We can extract the traffic scene and monitor the vehicle behavior by analyzing vehicle trajectory. This thesis described and analyzed vehicle behavior by trajectory extracting, trajectory clustering and anomaly detection. Direction feature of trajectory, trajectory similarity and anomaly detection are emphatically researched. Related concepts and algorithms are proposed.
(Read More…)
RFID technology is getting more and more attention. Considering the wide deployment of RFID systems, the RFID data reliability becomes especially important. According to the survey, the competitiveness of enterprises is closely relative to the information they got. It is a necessary step to conduct the data analysis in order to obtain useful information, and
(Read More…)
Hyperspectral imagery can provide a continuum of dozens or even hundreds of narrow bands, it enables us to detect the object of diagnostic spectral signature owing to its higher spectral resolution and richer images and spatial information than multispectral imagery.Anomaly detection algorithm does not require a priori spectral information by determining the pixels which are
(Read More…)
In this dissertation, firstly, it introduces model-based anomaly detection method. And these detection methods can retrofit efficient attack detection ability to vulnerable programs. These detection methods restrict a process’execution by using a precomputed model of normal and expected behavior. Then, it raises a new Dyck model. New Dyck model is the statically-constructed model that balances
(Read More…)
Location information of sensor nodes not only plays a fundamental role in key network mechanisms including routing, task scheduling and topology control in sensor networks, but also serves as key information of environmental surveillance, traffic control, home medical care and many other applications. However, due to the inherent vulnerability of sensor networks, existing algorithms using
(Read More…)
Social health insurance has been assumed the protection of basic medical duties. With the continual investment of social health insurance, the management system of social health insurance is developed fast. The information management system of social security provides convenience for the management of social security. The number of insured people is increased, and different parts
(Read More…)
Along with the fast development of the society and economy, people’s life was improved a lot, but the burden of work is growing at the same time. However, the complexity of the society makes us pay so much attention to the home security, and therefore the monitoring system for home is becoming more and more
(Read More…)
The network of operators’ business and the system of imiportant clients are the main representatives of high-speed network.With the business system expanding every year,the network systems of some companies are showing more and more high-speed network features,and support networks the telecom operators built around the bearer network also gradually join the high-speed camp.Due to its
(Read More…)
