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After disasters, communication infrastructures in disaster-affected areas may fail due to physical damages or power outages. Unmanned aerial vehicles (UAVs) can act as flying base stations to satisfy the communication requirements of people in disaster-affected areas. For the purpose of increasing the data transmission rate and saving energy consumption of wireless telecommunication terminals (WTs),...
The existing trust evidence models most use a comprehensive analysis of the trust in the trust decision. Comprehensive trust value is based on direct trust value and recommended trust value derived. And recommended trust value is as to private data of a provider, its privacy should be taken into consideration. However, most of the trust models have neglected this point. With the help of ERRPH (Extended...
The word “Cloud” has become more and more popular these days. One of its applications, Cloud for manufacturing, is also proposed as we called Cloud Manufacturing. It is realized by setup a public service cloud platform which shares manufacturing resources and knowledge. As the big data era comes, the amount of both resources and knowledge in the platform may increase much more rapidly than ever before...
The data model is one of the core problems in the field of XML data management, but at present the research on management of uncertain data supporting multi-dimensional continuous random variables has been limited. An extended data model supporting multi-dimensional continuous random variables was proposed based on the existing model. The new model made the continuous uncertain XML no longer confined...
Assistant Decision System for Optimization of Private Communication Network is a software tool used to optimize the private network and provide decision-making advice for the network maintenance technicians and network managers. The software tool can provide scientific decision basis for the optimization (or planning), construction, operation administration and maintenance (OAM) of the private network...
Distributed faulty node detection and isolation in metropolitan-area delay-tolerant vehicular sensor networks are investigated in this paper. For the intermittently connected large-scale dynamic networks, we design a practical faulty node detection algorithm that vehicles can perform on board to detect faulty sensors by utilizing the local data's spatial correlation. Based on the distributed detection...
Cloud Manufacturing provides a new concept and model for manufacturing informatization, which has become a hot research topic in modern networked manufacturing area. Cloud manufacturing systems generate huge amounts of sensor data from distributed manufacturing devices, and how to manage them efficiently becomes one of the main challenges of Cloud Manufacturing. Various software frameworks have been...
The problem of defining the clustering structure in DNA methylation expressions is considered. A Dirichlet process beta mixture model (DPBMM) is proposed that models the DNA methylation data array. The model allows automatic learning of the cluster structure parameters such as the cluster mixing proportion, the models of each cluster, and especially the number of clusters. To enable the learning,...
A design of video capture system based on FPGA is presented in this paper. This paper describes the working principle of the system and hardware architecture and it analyzes the composition of the system modules and the design methods in detail. This paper also gives a detailed analysis of each implementation technology of the system, and the system meets the needs of the back-end of video processing...
We proposed an expectation model to explain the observed price movements with active trader's conditional expected return and trading strategies. Existing volatility models can be considered as a kind of price expectation with corresponding expectation model and disturbances distribution. These results questioned those intentions to reproduce stylized facts with artificial series, and call for a closer...
This paper divides the complex sample data into three types: complete sample data, incomplete sample data and mixed sample data. After a lot of practice, this paper puts forward the general data mining model system based on the complex sample data and explains the meanings of the three models. Then it takes the data mining model of complete sample data for example to introduce the model's application...
Information integration and interoperability among information sources are related problems that have received significant attention since early days of computer information processing. The objective of Web information integration system is to promote Web information collection, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward an ontology-based approach to...
Traditional fault detection approaches for aeroengines based on PCA cannot effectively detect faults when the data does not follow the normal distribution. Meanwhile, there are few effective methods for the elimination of outliers during the modeling thus the model precision cannot be guaranteed. Aiming at a solution of the problems above, a new fault detection approach for aero-engines based on PCA...
This paper uses data mining classification algorithms--C5.0 and CART algorithms to get useful information to decision-making out of customerspsila transaction behaviors. Firstly, by business understanding, data understanding and data preparing, modeling and evaluating we get the results of the two algorithms and by comparing the results ,we know that the two algorithms can both be applied in the customer...
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