Compositional model checking methods can be used to reduce the formal veriication of a complex system to model checking problems of tractably small size. However, such techniques are diicult to apply to systems that have large data types, such as memory addresses, or large data arrays such as memories or FIFO buuers. They are also limited to the veriication of systems with xed nite resources. I...

In recent years, an executive number of attacks is to be advanced the power system knowledge that may be able to create an integrity over the world. Wisely The security development of charging stations becomes urgent matters. The attention of smart grid and integrate different technology such as The quality of electric vehicles on the road increases more and more interesting. For example, Charg...

Comparison of microwave satellite humidity data and radiosonde profiles: a survey of European stations V. O. John and S. A. Buehler Institute of Environmental Physics, University of Bremen, Bremen, Germany Received: 15 October 2004 – Accepted: 27 January 2005 – Published: 15 March 2005 Correspondence to: V. O. John ([email protected]) © 2005 Author(s). This work is licensed under a Creative ...

The microfluidic probe (MFP) consists of a flat, blunt tip with two apertures for the injection and reaspiration of a microjet into a solution--thus hydrodynamically confining the microjet--and is operated atop an inverted microscope that enables live imaging. By scanning across a surface, the microjet can be used for surface processing with the capability of both depositing and removing materi...

Consider a scenario where radio base stations need to send data to users with wireless devices. Time is discrete and slotted into synchronous rounds. Transmitting a data item from a base station to a user takes one round. A user can receive the data item from any of the base stations. The positions of the base stations and users are modeled as points in Euclidean space. If base station b transm...

Efficient and sustainable bike-sharing service (BSS) operations require accurate demand forecasting for bike inventory management rebalancing. Probabilistic provides a set of information on uncertainties in forecasting, thus it is suitable use stochastic management. Our research objective to develop probabilistic time-series BSS demand. We an RNN–LSTM-based model, called DeepAR, the station-wis...