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Geographical load balancing (GLB) is a promising technique to reduce power cost for cloud service providers (CSPs). To fully exploit the potential of GLB, Camacho et al. [1] advocate broker-assisted GLB where CSPs first bid in deregulated electricity markets and then balance their workloads accordingly. In this paper, we further explore along this line and propose the idea of Second Chance, which...
As the uncertainty is inherent in a wide spectrum of applications such as radio frequency identification (RFID) networks and location-based services (LBS), it is highly demanded to address the uncertainty of the objects. In this paper, we propose a novel indexing structure, named $(U)$-Quadtree, to organize the uncertain objects in the multidimensional space such that the queries can be processed...
Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. As an important problem in many applications, KNN query has been extensively investigated in the literature. In this paper, we study the problem of processing rank based KNN query against uncertain data. Besides applying the expected rank semantic to compute KNN, we also introduce...
This paper investigates a class of finite-horizon linear quadratic regular control problem for the continuous networked control systems with both packet delay and packet dropping. Based on estimation approach, a complete and explicit solution to the LQ problem is given in terms of a backward Riccati equation. The control input can be determined without knowing whether the previous control signal is...
Studies on the residue of atrazine in the soil have recently aroused great concern. This article studies the methods of determining the residue of atrazine in the soil, and thus helps solve the problems of pesticide residue. Use methanol aqueous solutions (9:1) to extract the atrazine in the soil. Concentrate the methanol, then chloroform extracted. After concentrating to a defined volume, use GC-14C...
This paper mainly studies the growth and degradation characteristics of the Atrazine degradation strain J6 which is isolated from the soil, collected from the corn field in northern China with a long history of atrazine application. The growth and the degradation characteristics at different pHs and temperatures are also studied. Adding J6 into the medium by the ratio of 1 %(v/v), J6 is able to degrade...
The distribution and composition of the planktonic algae community in Xi Quanyan reservoir was investigated, it showed the dominant species were diatom and chlorophyta. According to the comprehensive trophic state of the multiple monitoring results of the different sampling points in the entrance, centre and exit of the Xi Quanyan reservoir, calculate the comprehensive trophic state index to gain...
A banknote orientation recognition method is introduced in the paper. In order to avoid dealing with large numbers of image pixels and reduce calculation, the banknote image is divided into several blocks. And then, neural network is applied to establish a universal recognition method. Different banknote can get corresponding model through BP network that is introduced in detail in the paper.
We investigate techniques to automatically decompose any XQuery query into subqueries, that can be executed near their data sources; i.e., function-shipping. In this scenario, the subqueries being executed remotely may have XML node-valued parameters or results, that must be shipped in some way. The main challenge addressed here is to ensure that the decomposed queries properly respect XML node identity...
Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Considerable research efforts have been put into the field of analysing uncertain data. In this paper, we study the problem of processing the uncertain location based range aggregate in a multi-dimensional space. We first formally introduce the problem, then propose a general filtering-and-verification...
Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline queries over sliding windows on uncertain data elements regarding given probability thresholds. We first characterize what kind of elements we need to keep in our query computation. Then we show the size of dynamically maintained candidate...
How to composite Web service is one the most important problems of next generation Internet (NGI) researching. In order to reuse complex service for service composition, multi-scale Web service composition (MSWC) is proposed. Inspired by word segmenting algorithm, service composition can be achieved by diving service request into several groups and mapping these groups into existed complex services...
Cultural algorithm (CA) is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and succeeded in solving some complicated problems. In this paper, a self-adaptive CA is proposed based fuzzy controller, The new algorithm adjusting parameter beta using fuzzy controller, changing the member of individuals in evolution process, making the CA optimized...
This paper investigates the underlying patterns in data derived from the International Tobacco Control Four Country Survey. The intent of the paper is to determine which attributes have the greatest impact on smokers' plans to quit and their attempts to quit. Rule sets are derived using decision tree models and tested on temporal data sets to assess their validity and ability to generalise. Determinant...
Uncertain data are inherent in many important applications. Recently, considerable research efforts have been put into the field of managing uncertain data. In this paper, we summarize existing techniques to query and model uncertain data and systems that effectively manage uncertain data, mainly from a probabilistic point of view.
In this paper we introduce several statistical distributions to analyze the topological properties of 3D graphics. The proposed statistical measures include the mesh degree, the mesh assortativity, the mesh clustering coefficient, and the mesh geodesic distance distributions. These probabilistic distributions provide useful information about the way 3D mesh models are connected. Illustrating experimental...
In this paper, we consider the performance of orthogonal space-time block codes (OSTBCs) over Weibull fading channels. Based on the equivalent single input single output (SISO) model, we first present the probability density function (PDF) of the instantaneous single to noise ratio (SNR) per symbol, and then derive a close-form expression for the outage probability of OSTBCs. We also evaluate the...
Systems possessing symmetries always have good structure They may also have other good properties. In this paper, Feedback decoupling problems for affine nonlinear systems with symmetries are discussed by using the techniques of differential geometry. The concept of derived distributions is firstly defined for systems with symmetries under the actions of compact connected Lie groups. Necessary and...
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