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With the wide applications of Internet-based services, service reliability has received more and more attention in the research field of Services Computing. Reliability prediction approaches basically compute reliability according to historical records. However, in most current prediction methods, each user is supposed to return a Boolean feedback representing his/her subjective evaluation on service...
Localization is a major issue and a challenging task for underwater acoustic networks. The characteristics of underwater acoustic networks are fundamentally different from that of terrestrial networks. For example, it is not easy to get GPS into water and underwater acoustic networks often just have few anchors. Thus many of the localization schemes for terrestrial networks cannot be used directly...
Online social networks have recently become an effective and innovative channel for spreading information and influence among hundreds of millions of end users. Most of prior work either carried out empirical studies or focus on the information diffusion modeling in temporal dimension, little attempt has been given on understanding information diffusion over both temporal and spatial dimensions. In...
The aim of the work presented in this article is to make sales forecasting as accurate as possible through the use of BP artificial neural network. Firstly, this article introduces the basic principles of BP artificial neural network, and constructs a sales forecasting model based on the theory of BP artificial neural network. Then, with the help of MATLAB, we obtained the predicted sales data using...
A high-precision digital control DC power supply based on singlechip STC89C52, A/D converter AD7705, D/A converter DAC7512 and three terminal adjustable regulator LM317 is designed and realized, which uses MCU as the center, and adopts 12 DAC DA7512 to realize digital control and 16 ADC AD7705 and LCD to the measurement and display of output voltage. The voltage adjustment range of this system is...
In the context of anti-spam filtering, we investigated the performance of the Naive Bayesian classifier and Distributed Checksum Clearinghouse. Based on these two methods, we constructed an anti-spam filtering system, which is capable of identifying spam, maintaining normally to deliver and receive e-mails as well. Meanwhile, we performed a thorough evaluation of the system on the benchmark corpus...
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