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Wind power prediction is an effective way to ensure the rational use of wind energy and improve the economy of power system. A physical approach of wind power prediction based on CFD pre-calculated flow fields is used in this paper, which improves the accuracy and timeliness of the prediction. The Jensen and Larsen wake model are adopted respectively to simulate the wake effect of single wind turbine...
Many software reliability growth models assume that all faults have equal probability of being detected during the software testing process and the rate remains constant over the intervals between faults occurrences. But in fact, the fault detection rate may depend on the fault discovery efficiency, the fault detection density, the testing-effort, the inspection rate and so on, and may change with...
This deep space sensor network based on DTN is an important research in modern deep space communications technologies. Bundle layer plays a key role in the network. How Bundle layer can provide services for network more rationally and efficiently is an important influencing factor to improve and enhance the network performance. This paper proposes special network architecture for this DTN-based network...
In this paper, we propose WMRMTR (Wisdom Multi-path Routing Algorithm based on Maximum Transmission Reliability) algorithm. The calculation takes into account the probability of distribution of nodes and the paths delay in wisdom network. And then making the routing path to produce a set of routing which is, data packets can be parallel transmission. In the case of the mobile node, the packet transmission...
According to the features of the hydraulic project cost management, we analyze the application of Case-based Teaching Method in the experiments of the hydroponic project cost. Case-based Teaching Method require students to combine theory and practice together, obtain tacit knowledge, develop teamwork spirit and improve their overall quality through self-presentation, mutual communication and cooperation...
This paper designs a new integrated runtime monitoring method for the Internet-Based Virtual Computing Environment (iVCE). This method consolidates basic state monitoring of virtual resources and application state monitoring of virtual tasks. To validate our methodology, we developed a monitoring system for an iVCE testbed of more than 1000 nodes.
Low cost doped PbF2 crystal is an attractive material for the homogeneous hadronic calorimeter (HHCAL) detector with dual readout function for both Cherenkov and scintillation light. Screening of effective doping in PbF2 for introducing scintillation is a very great challenge. In the present work, a main emission band at about 550 nm has been found in the asdeposited multilayer PbF2 and CsI(Tl) films...
This paper focuses on a new direct torque and reactive power control approach for doubly fed induction generators for wind turbines. In order to design the rotor side controller and study the transient behavior, equations which directly describe the dynamics of the torque and reactive power in a doubly fed induction generator are proposed in this paper. Relying on these equations, controllers using...
Finding community structures from networks is one of the most popular research areas in recent years. Because of the shortcoming of FCM, for example, its results depend on the initial center node and need to specify the community number, based on the fuzzy theory, an improved FCM algorithm(NKFCM) is proposed, which can get the number of communities and the community centers automatically. NKFCM is...
Long-term evolution (LTE) represents a promising technique for ubiquitous multimedia communication because of its significant enhancement to the data transmission rate. However, the hard hand-off (HO) procedure standardized in LTE is a menace to multimedia quality of service (QoS), due to the service interruption introduced by the procedure. Thus, one major challenge of such a system is to design...
Tropical cyclones (TCs) are one of the worst nature disasters. The analysis of tropical cyclones' similarity is important in the TCs forecasting. In this paper, the similarities of TCs are studied in a fixed low dimension space. Both TC path and image are analyzed. Isometric Mapping (ISOMAP) is used to do dimensionality reduction. Several distribution characters, such as mean value, coefficient of...
Dangerous weather is an important factor of flight safety. Particularly, wind-shear is the most dangerous weather. In this paper, four traditional methods (Grey model, BP neural network, Brown three exponential smoothing, and Support vector regression) on PPI scan data are used in wind field forecast experiments, from which forecast wind speed map can be got. We first use the above four methods to...
Multi-user multiple input multiple output (MU-MIMO) system is an excellent choice for the next generation broadband communications because of its great potential in enhancing MIMO system capacity. One major challenge of such system is the jointly optimal transceiver beamforming design that maximizes the sum capacity under a total power constraint. Existing approaches have provided convex optimization...
In this paper, we focus on the problem of instructions scheduling based on new meta-heuristic algorithm named Ant Colony Optimization (ACO).During the execution of the program, in fact, the flow goes from one instruction to the other. This procedure leads to binary transition just out of the differences between the binary code of two consecutive instructions. Our method pursues a related optimization...
In this paper, a self-optimization model for resource allocation in cooperative relay networks based on game theory is proposed. Every node in the networks can work as a relay node for cooperative communication in the proposed model,. Both the source node and the relay node in the transmission are willing to achieve an optimal power allocation to increase system performance and transmit profits. Simulation...
Intelligent Dispatching is an important part of the Smart Grid. As an important means of human-computer interaction, visualization does not only provide a new solution ideas and implementation methods for the Intelligent Dispatching, but also makes it more humane and friendly. This paper illustrates the functional design, implementation methods and program logic in terms of the visual implementation...
Reviewers play a significant role in research project selection, because their opinions will have great influence on the decision of the projects which will be funded. Current methods mainly focus on the evaluation of reviewers' competitiveness in a certain research areas, while ignoring the performance of reviewers whether is suitable to review a proposal. In this paper, a group decision support...
As the growing of computing capability, handy mobile devices are used to explore and deal with medical images. More and more attention was paid on remote accessing to picture archiving and communication system (PACS). In this paper, the iPACS, a web-based application running on iPad, is provided to explore medical information on PACS server over a wireless local area network (WLAN), as well as to...
Orthogonal moments are successfully used in the field of image analysis in the past decades. In this paper, two sets of invariants which are invariant to convolution with circularly symmetric point spread function (PSF) are introduced for object recognition and image classification using orthogonal Fourier-Mellin moments and quaternion Fourier-Mellin moments, respectively. The theoretic frameworks...
In the sparse representation of a target sample, most nonzero coefficients belong to the neighbors of the target sample. Combining this observation with the theory of manifold learning, we propose a novel unsupervised feature extraction approach named local sparsity preserving projection (LSPP). LSPP sparsely reconstructs a target training sample from merely its neighbors, and seeks a subspace where...
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