Jianguo Ding

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Bayesian network is a complete model for the variables and their relationships, it can be used to answer probabilistic queries about them. A Bayesian network can thus be considered a mechanism for automatically applying Bayes’ theorem to complex problems. In the application of Bayesian networks, most of the work is related to probabilistic inferences. Any(More)
With the rising popularity of the Internet, the resulting increase in the number of available vulnerable machines, and the elevated sophistication of the malicious code itself, the detection and prevention of unknown malicious codes meet great challenges. Traditional anti-virus scanner employs static features to detect malicious executable codes and is hard(More)
The growing complexity of distributed systems in terms of hardware components, operating system, communication and application software and the huge amount of dependencies among them have caused an increase in demand for distributed management systems. An efficient distributed management system needs to work effectively even in face of incomplete management(More)
As networks grow in size, heterogeneity, and complexity of applications and network services, an efficient network management system needs to work effectively even in face of incomplete management information, uncertain situations and dynamic changes. We use Bayesian networks to model the network management and consider the probabilistic backward inference(More)
An on-line monitoring system of transmission line conductor de-icing based on GSM SMS and Zigbee is firstly designed and produced, the composition and the technical features of which are described. The meteorology such as the temperature, the humidity, the wind speed, the rain and snow, and the air pressure etc., the icing status of transmission lines such(More)
Recent years, requirements in network management and control have been amended by emerging network and computing models, including wireless networks, ad-hoc networks, overlay networks, Grid networks, optical networks, multimedia networks, storage networks, the convergence of next generation networks (NGN), etc. The network management has to meet resource(More)
Email categorization is challenging due to its sparse and noisy feature space. To address this problem, a novel semantic Vector Space Model (sVSM) using WordNet is proposed in this paper. The basic idea of sVSM is to select related semantic features that will increase the global information, and use them to enrich the semantic feature of an email. The(More)
This investigation was performed to see the regularity of parameters in the modified mixture of experts (MoE) to direct parameter selection in real applications. The experiment was performed on the mean of monthly precipitation in May from 1956a through 2004a in a Chinese region. We got stable parameter combinations through testing on various combinations(More)