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Nowadays, the population has been overgrowing due to urbanization, yielding many severe problems in the urban area, including traffic congestion, unbalanced distribution of urban hotspots, air pollution and so on. Due to the uncertainty of the urban environment, it always needs to integrate experts' domain knowledge into solving these issues. In recent years, the visual analytics method has been widely...
The Local Pickup and Delivery Problem (LPDP) has drawn much attention, and optimization models and algorithms have been developed to address this problem. However, for real world applications, the large-scale and dynamic nature of the problem causes difficulties in getting good solutions within acceptable time through standard optimization approaches. Meanwhile, actual dispatching solutions made by...
There are many new challenges in building Scientific Data Management System (SDMS), and the most initial and important one of them is designing a reasonably and effectively data architecture. The data architecture should focus on massive metadata, complex data flow, multi-classification data, various data productions and uniform query. Based on the applied projects, we present the classificatory criterions,...
Due to the rapid spreading nature of Internet worms, it is necessary to implement automatic mitigation on the Internet. Inspired by worm vaccinations, we propose a novel epidemic model which combines both vaccinations and dynamic quarantine methods, referred to as SEIQV model. Using SEIQV model, we obtain the basic reproduction number that governs whether or not a worm is extinct. The impact of different...
This paper is the case study on scientific data cleaning, it proposes some new ideas or applies some hot technologies for scientific data cleaning. There are three challenges of scientific data cleaning tool: domain knowledge representation and usage, customized cleaning flow and building dynamically. We adopt knowledge based rule modeling, workflow based flow modeling and pluggable components based...
The polymorphic, diversified, multi-sources and multi-use scientific data is quite different from the other data, there are many new challenges in building Scientific Data Management and Analysis System (SDMAS), especial one is that the multi-use data requires alternate classifications and mappings between them. Based on the oceanographic data, we present the solutions of multi-classifications problems...
In this paper, the author introduces a load smoothing algorithm, by which the author smoothes and handles the load value, which is forecasted by the transformer in a short period. At the same time, the author divides it into parts. According to the load that is handled, the author worked out the loss of the transformer's active power, and judges the operation mode of the transformer reasonably, so...
AdaBoost algorithm is proved to be a very efficient classification method for the balanced dataset with all classes having similar proportions. However, in real application, it is quite common to have unbalanced dataset with a certain class of interest having very small size. It will be problematic since the algorithm might predict all the cases into majority classes without loss of overall accuracy...
Identifying protein-protein interaction sites have important connotations ranging from rational drug design to analysis metabolic and signal transduction networks. In this paper, we presented an adapted Bayesian classifier based on tree augmented naiumlve Bayesian classifier to predict interface residues of protein-protein interaction sites. This classifier used fixed structure which could denote...
A new 3-D graphical representation of DNA sequences is proposed according to chemical structures of bases and homomorphic map, which reflects the distribution of bases with different chemical structure, preserves information on sequential adjacency of bases, and avoids loss of information accompanying alternative graphical representations in which the curve standing for DNA overlaps and intersects...
There are usually large noise and anomalistic distribution of characteristic points in the damaged pavement images, which bring great difficulty to splice. In view of the characters, this paper forms one kind of splicing method of the pavement images which is based on image Pyramid, the Harris vertex examination and FCM clustering. Firstly, it forms several groups of the structure of the criterion...
Particle swarm optimization algorithm is a kind of auto-adapted search optimization based on community.But the standard particle swarm optimization has the defects of prematurely, stagnation when applied in optimizing problems and easily leading to local minimum. A modified particle swarm optimization algorithm is proposed to improve from the initial solution and the search precision. The results...
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