Sentence examples for lightweight control from inspiring English sources

Exact(2)

Therefore, lightweight control is essential for the scaling of OpenFlow network management and reduction of inter-domain handover signaling.

The scope of the activities is to provide a basic industrially-aware knowledge for the design of small automatic systems and robotic systems that are capable to operate autonomously in indoor or outdoor environments applying lightweight control algorithms based on embedded technology.

Similar(58)

The result is the ultimate in lightweight controls: no weight at all.

A distributed source rate adaptation mechanism is designed, incorporating a loss rate based lightweight congestion control mechanism, to regulate the data traffic injected into the network so that the reliability requirements can be satisfied.

Soft, lightweight, more control and comfort, and less chafing?

In this paper we present the design of a lightweight access control solution that overcomes these problems.

A control lightweight concrete mixture made with lightweight basaltic pumice (scoria) containing only normal Portland cement (NPC), and with fly ash lightweight concrete mixture containing 20% of fly ash as a replacement of the cement in weight basis was prepared.

The ETH engineers integrated current developments in fuel cell and propulsion technology, aerodynamics, lightweight construction and control technology as well as other fields into the advanced vehicle.

Thus, comparing to a stand-alone SMA actuator, SMA actuated compliant mechanisms have the advantages of requiring no input to stay at the stable positions, high repeatability in positioning, lightweight and simple control.

We propose an implementation method which includes an extremely lightweight thread to control fetch policies (a detector thread) and a processor architecture to run the detector thread without impact on the user application threads.

Our framework, called SensorWare, defines and supports lightweight and mobile control scripts that allow the computation, communication, and sensing resources at the sensor nodes to be efficiently harnessed in an application-specific fashion, through the use of abstraction services.

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