356 research outputs found

    A New Algorithm for Detecting Local Community Based on Random Walk

    Get PDF
    This paper presents one new algorithm for local community discovery. It employs a new vertex selection strategy which considers not only the boundary structure of candidate local community but also the probability which the investigated vertex will return to the candidate local community. A local random walk is adopted to compute this return probability which does not require the global information. We choose four algorithms for comparison which are the best ones existed by far. For better evaluation, the datasets include not only the computer generated graphs in standard benchmark but also the real-world networks which are classical ones in global community discovery. The experimental results show our algorithm outperforms the other ones on the computer generated graphs. The performance of our algorithm is approximately the same with the algorithm proposed by Luo, Wang and Promislow on real-world networks

    In situ extracting organic-bound calcium:A novel approach to mitigating organic fouling in forward osmosis treating wastewater via gradient diffusion thin-films

    Get PDF
    Forward osmosis (FO) has gained increasing interests in wastewater treatment and reclamation. However, membrane fouling has become one major obstacle hindering FO application. A novel mitigation approach for FO membrane fouling via in situ extracting Ca 2+ binding with the organic foulants using the gradient diffusion thin-films (DGT) was proposed in this study. The DGT could effectively adsorb the Ca 2+ binding with the sodium alginate via the chelation of the Chelex functional groups, and its adsorption amount of Ca 2+ correspondingly increased as a function of the Ca 2+ concentration in the feed solution. Owing to the extraction of Ca 2+ from the fouling layer by the DGT, the FO membrane fouling was effectively mitigated evident by significant enhancement of water flux, and at the same time, foulants became easily removed by physical cleaning. The alleviation of FO membrane fouling by the DGT could be attributed to the fact that the structure of the fouling layer became more porous and looser after in situ removing Ca 2+ from the alginate-Ca 2+ gel networks. The feasibility of fouling control strategy via in situ removing Ca 2+ binding with the foulants in the fouling layer was demonstrated, which provides new insights into fouling control mechanisms during FO treating wastewater. </p

    EDTA-based adsorption layer for mitigating FO membrane fouling via in situ removing calcium binding with organic foulants

    Get PDF
    Forward osmosis (FO) is an emerging technology for wastewater treatment and reclamation. However, membrane fouling remains a strong hindrance to FO application. We proposed a novel approach for alleviating FO membrane fouling via in situ removing Ca 2+ binding with organic foulants using the EDTA-based adsorption layer. Results suggested that the EDTA-based adsorption layer can effectively remove the Ca 2+ binding with sodium alginate, and its adsorption capacity correspondingly increased as a function of Ca 2+ concentration in the feed solution. Owing to the effective extraction of Ca 2+ from the fouling layer by the EDTA-based adsorption layer, water flux of FO membrane was significantly enhanced, and fouling layer became easily removed by physical flushing, suggesting a remarkable alleviation of FO membrane fouling. Mitigation of FO membrane fouling by the EDTA-based adsorption layer was attributed to the fact that the fouling layer structure became more porous and looser after in situ removing Ca 2+ from the alginate-Ca 2+ gel networks. This study demonstrated a novel fouling control strategy via in situ removing Ca 2+ binding with the organic foulants, providing a new avenue for FO membrane fouling management. </p

    Wavelets, Sobolev Multipliers, and Application to Schrödinger Type Operators with Nonsmooth Potentials

    Get PDF
    We employ Meyer wavelets to characterize multiplier space Xr,pt(ℝn) without using capacity. Further, we introduce logarithmic Morrey spaces Mr,pt,τ(ℝn) to establish the inclusion relation between Morrey spaces and multiplier spaces. By fractal skills, we construct a counterexample to show that the scope of the index τ of Mr,pt,τ(ℝn) is sharp. As an application, we consider a Schrödinger type operator with potentials in Mr,pt,τ(ℝn)

    A Study of Test Suite Reduction Based on Ant Lion Optimizer

    Get PDF
    The development of smart meters to Internet of Things is the infrastructure for the Internet to carry out user electricity management and enhance user experience with electricity. As the iteration of smart home service system based on smart meters continues to accelerate, the development process is becoming more and more demanding for software testing. Test suite reduction is one of the common methods to improve the efficiency of software testing. In this paper, we proposed an optimization algorithm based on the Ant Lion Optimizer applied to test suite reduction problem of smart IoT meters. The algorithm improved the traditional Ant Lion Optimizer by converting the smart IoT meter test suite reduction problem into a binary coverage problem and combining the Greedy Algorithm to obtain the optimal test case subset. The experimental results showed that the algorithm based on Ant Lion Optimizer performed better on the test suite reduction problems compared to similar algorithms
    corecore