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In this paper, we propose a novel compressed sensing (CS) algorithm by collaborative use of statistical and structural priors of natural images. The statistical priors include two aspects which are the statistical dependencies of wavelet coefficients in transform domain and non-local self- similarity among pixels in spatial domain. And the structural prior refers to the structural dependencies of...
Web services provide a loose-coupling deployment platform for large-scale systems, facilitating application-to-application interaction. On this platform, how to achieve better search and integration of services has become an important research point. Based on some new technologies, this paper proposes an automatic service search model which adopts Semantic Web Services and agents to improve the intelligence...
This paper reports a low-noise readout circuit for label-free, mobile detection of protein-ligand interactions. It is based on a new sensing technique where the surface charge of an electrode is altered due to the dipole moment of nearby biomolecules. We propose a low-noise readout circuit to measure the sub-nA signals. Using a chopped low-noise integrating preamplifier and a resistive transimpedance...
This paper investigates uncertain SDOSs (singular delta operator systems), regarding robust H∞ control and robust H∞ performance analysis. To ensure robust admissibility, we introduce the definition of generalized quadratic admissibility. Through LMI (linear matrix inequality), with the support of a necessary and sufficient condition, an uncertain singular delta operator system is generalized quadratically...
The proliferation of cloud computing allows scientists to deploy computation and data intensive applications without infrastructure investment, where large generated datasets can be flexibly stored with multiple cloud service providers. Due to the pay-as-you-go model, the total application cost largely depends on the usage of computation, storage and bandwidth resources, and cutting the cost of cloud-based...
Software as a service (SaaS) is the main service model in cloud computing and has been generally recognized. More and more traditional software turns to SaaS applications. For SaaS provider, it hopes that it can provide better service performance to tenants while attain more profit. But the two goals are contradictory. So in this paper, we model the SaaS application service provisioning problem as...
Currently, the detection of global community structure in networks has gathered a lot of attention. Most of the methods need global knowledge of the graphs which would be unrealistic to get when the graphs are too large or evolve too quickly. Moreover, sometimes we are only interested in the community structures of some given nodes, not all nodes. So detecting the community of a given node i.e. local...
In this paper the major principles to effectively design a parameter-less, multi-objective evolutionary algorithm that optimizes a population of probabilistic neural network (PNN) classifier models are articulated; PNN is an example of an exemplar-based classifier. These design principles are extracted from experiences, discussed in this paper, which guided the creation of the parameter-less multi-objective...
GAPSO hybrid programming algorithm, which is a concise, effective and stable algorithm to solve the hierarchical problem based on GP algorithm. In terms of the specific characteristics of discrete magnitude and continuous magnitude, as well as the superiority of PSO in continuous quantity optimization, in this paper we propose an improved algorithm, which optimizes continuous magnitude by PSO while...
Elevator group supervisory control system (EGSCS) is a traffic system, where its controller manages the elevator movement to transport passengers in buildings efficiently. Recently, artificial intelligence (AI) technology has been used in such complex systems. Genetic network programming (GNP), a graph-based evolutionary method extended from GA and GP, has been already applied to EGSCS. On the other...
Elevator group control systems are the transportation systems for handling passengers in the buildings. With the increasing demand for high-rise buildings, multi-car elevator system (MCES) where two cars operate separately and independently in an elevator shaft are attracting attention as the next novel elevator system. Genetic network programming (GNP), one of the evolutionary computations, can realize...
Elevator group supervisory control system (EGSCS) is designed for managing the elevator movement to transport passengers in buildings efficiently. So far, genetic network programming which is a kind of evolutionary computation with a graph structure has been applied to such complex systems like EGSCS. On the other hand, in order to reduce the energy consumption in EGSCS, some studies have been done...
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