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Sparse subspace learning has been demonstrated to be effective in data mining and machine learning. In this paper, we cast the unsupervised feature selection scenario as a matrix factorization problem from the view of sparse subspace learning. By minimizing the reconstruction residual, the learned feature weight matrix with the l2,1-norm and the non-negative constraints not only removes the irrelevant...
Image segmentation is a classic problem and basic research area in image processing. It can provide pre-detect information for subsequent image processing and classification. 2D Otsu method is a widely used non-parametric method to detect the threshold of image. In this paper, we employ the simplified swarm optimization (SSO) as a swarm-intelligent optimization method to search the threshold value...
This paper focuses on the problem of scheduling a workflow onto a set of heterogeneous resources with stochastic model of task execution times and communication times. With understanding that deterministic scheduling heuristics can seldom perform well in such a stochastic model, we extend a well-known deterministic heuristic and propose a novel randomized scheduling approach. Extensive experiments...
As distributed systems get increasingly popular in the use for large-scale computational/storage requirements, more attention has been put on the benefit of the system resource providers. This paper focuses on the online scheduling problem of how to schedule a set of sequentially submitted workflows with deadline constraints to maximize the resource utilization as well as the success rate of meeting...
There is an increasing interest for cloud services to be provided in a more energy efficient way. The growing deployment of large-scale, complex workflow applications onto cloud computing hosts is being faced with crucial challenges in reducing the power consumption without violating the service level agreement (SLA). In this paper, we consider cloud hosts which can operate in different power states...
In most heterogeneous computing systems, there is a need for solutions that can cope with the unavoidable uncertainty in individual task execution times, when scheduling DAGs. When such uncertainties occur, static DAG scheduling approaches may suffer, and some rescheduling may be necessary. Assuming that the uncertainty in task execution times is modelled in a stochastic manner, then we may be able...
As the most potential way to improve the overall performance of the next generation wireless networks, femtocell has attracted much attention from vendors. To femtocell, hybrid access mode is a comprise access mode that operates between close access mode and open access mode. With this kind of access mode, not only the pre-registered users are able to access it, un-registered users could also gain...
Water and sediment samples, collected from Meiliang Bay in Taihu Lake, were employed to investigate the dynamics of nitrogen during the courses of proliferating, suspending and decomposing of C. Reinhardtii under a simulated water-sediment condition. Results showed that the total nitrogen concentrations in water increased 20% as compared to the control during the sedimentation and decomposition of...
Water and sediment samples from Meiliang Bay in Lake Taihu, Eastern China, were employed to investigate the effects of Chlamydomonas Reinhardtii proliferating, blooming and decaying on nitrogen release from sediment and the corresponding enzymatic mechanism. The high temperature (35 °C) was not only beneficial for algae proliferating and blooming but also accelerating algae decaying. In contrast,...
Recently self-optimizing as a new characteristic in wireless networks attracts more and more attention. A game theoretic solution for load balancing by downlink power modification in 3GPP Long Term Evolution systems is presented in this paper. We formulate this problem as market equilibrium and use Fisher model with linear inequalities to find prices. Simulation results demonstrate proposed algorithm...
The peer-to-peer network has been widely used to share large files anonymously. Because of its open nature, nodes can join and leave peer-to-peer networks freely. But there are few limited methods to ensure their trust. Malicious nodes can expose great security threats to peer-to-peer networks such as spreading unauthentic data and viruses. But handling all the malicious nodes in the same way causes...
Video data compression is one the core technologies of video conference, which aims to enable significantly high performance data coding. In order to achieve this, a robust rate-distortion optimization (RDO) technique is needed to be employed to select the best coding mode This paper presents optimization solution about inter prediction mode decision algorithm of H.264/AVC for video conference under...
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