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To preserve privacy, sensitive data in cloud computing needs to be encrypted before outsourcing, which obstacles data utilization based on plaintext search. Thus there spring up several secure schemes which enable encrypted cloud-data search. However, these single-cloud-supported search schemes would suffer from service failure, inefficient application, and privacy problem when they are applied to...
Outsourcing heavy computational tasks to remote cloud server, which accordingly significantly reduce the computational burden at the end hosts, represents an effective and practical approach towards extensive and scalable mobile applications and has drawn increasing attention in recent years. However, due to the limited processing power of the end hosts yet the keen privacy concerns on the outsourced...
With the growing popularity of cloud computing, outsourced computing has attracted much research effort recently. A computationally weak client is capable of delegating its heavy computing tasks, such as large matrix multiplications, to the cloud server. Critical requirements for such tasks include the need to guarantee the unforgeability of computing results and the preservation of the privacy of...
Spatial relation is one of the most important features of geographic space information. The in-depth research on spatial relation is the base of realizing GIS spatial reasoning. Recently GIS software could only express few spatial relations and is difficult to be understood by computer, and also the researches on spatial relation ignore commonsense spatial cognition of people. The process on spatial...
Location is becoming kind of context fundamental information in ubiquitous computing environment. Location aware applications require a well-formed location model. Current location models can be classified into geometric location models and semantic location models. The former only represents the geometric coordinates without the location semantics. The later represents logical features and their...
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free...
Group delay (GD), the negative derivative of Fourier Transform phase, is regarded as a good tool for spectral estimation in additive noise, for its sharp peak and high resolution. However, as far, GD has not been utilized in the case involving complex noises. In this paper, a novel GD is proposed to the time-varying cumulants of harmonics in complex noises, termed as CGD. A simple and practical algorithm...
This paper introduces a novel surface-modeling method to stochastically distribute features on arbitrary topological surfaces. The generated distribution of features follows the Poisson disk distribution, so we can have a minimum separation guarantee between features and avoid feature overlap. With the proposed method, we not only can interactively adjust and edit features with the help of the proposed...
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