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system adaptation
System adaptation is supported by a scalable and dynamic application-level multicast infrastructure, and by a run time performance measurement mechanism.
      
The theories of Holland, and related work on complex adaptive systems, have a direct bearing on the emergence of system adaptation from the interaction of locally adaptive entities.
      
System adaptation algorithms in the presence of nonstationary pulsed and stepped noise.
      
Autonomous central storage and update of user related learning information leads to a better and easier system adaptation.
      
A second strategy for dynamic system adaptation involves the number of reconstructed fragments.
      
Any subsequent system adaptation will be equally well informed regarding the impact of any proposed subsequent changes to the system.
      
Finally, operating system adaptation based on runtime monitoring has been suggested by a number of researchers.
      
Grafting is often viewed as a solution to problems of root system adaptation to low or high pH soils, or soil-borne diseases.
      
However, specifics of system design allow a reduction of validation complexity in system activation and system adaptation.
      
However, most methods focus on system adaptation and integration but neglect the processes of evaluation and selection of COTS.
      
In our research, we are concerned with an attacker manipulating the control information in order to influence system adaptation.
      
In case of mobile learning system adaptation, several dimensions of adaptation need to be considered.
      
More precise data support an easier and faster system adaptation.
      
To this end, we also need to determine what statistics should be monitored to enable automatic system adaptation.
      
This prohibits quick system adaptation to new demands and requirements.
      
This lack of flexibility is a serious drawback for system adaptation and migration to similar industrial automation systems.
      
This is achieved through exploiting the transients of the underlying system adaptation mechanism.
      
The aforementioned issues suggest a concept for dynamic system adaptation for the 3D video system, which will be described in this section.
      
The mechanics of system adaptation work identically for all users, and security decisions are encapsulated into capabilities.
      
We also provide mechanisms for system adaptation, context-awareness and to adapt the WSN configuration to each particular application requirements.
      
 

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