Energy splitting in dynamical tunneling

Vybornyi, E. V.

doi:10.1007/s11232-014-0222-6

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…2. The formula (13) gives the logical control of the opportunity geological grid. The logical opportunity control would be started up when the inequality satisfied the formula (13).…”

Section: Mobile Geographic Crowd Service Modelmentioning

confidence: 99%

“…An energy efficient and reliable medium access control protocol for cognitive sensor networks was designed in [12]. An operator method was proposed in [13] for calculating the semi classical asymptotic form with the energy splitting value in the general case of tunneling. A fully explicit was proposed and analyzed in [14] by computationally inexpensive integrator and splitting the orthogonal projector onto the tangent space of the low-rank manifold.…”

Section: Introductionmentioning

confidence: 99%

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Embedded mobile crowd service systems based on opportunistic geological grid and dynamical segmentation

2015

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In order to solve these problems such as the demand of geographic information service and the short life of the embedded system, as well as network collapse, and so on, the embedded mobile crowd service systems based on opportunistic geological grid and dynamical split was proposed. Firstly, based on the characteristics of geographical spatial information resources and service time series, a mobile geographic crowd service system was established for providing the sensing data with the mobile geographic crowd service model. Then, according to the embedded equipment complex data of the geographic crowd service system, and the relationship between the geography information service object and the user, the embedded system was proposed based on the opportunity geological grid. Finally, the optimization of the geographic crowd system was realized by the dynamic segmentation of the opportunity geographic grid. The experiment results of the equipment utilization, the life cycle of the crowd network, user satisfaction, and control complexity show that the proposed scheme is more suitable for the embedded network geographic information system.

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“…2. The formula (13) gives the logical control of the opportunity geological grid. The logical opportunity control would be started up when the inequality satisfied the formula (13).…”

Section: Mobile Geographic Crowd Service Modelmentioning

confidence: 99%