Self-adjusting data acquisition system for Low Layer SCIDAR

A Low-Cost Data Acquisition System for Automobile Dynamics Applications

This project addresses the need for the implementation of low-cost acquisition technology in the field of vehicle engineering: the design, development, manufacture, and verification of a low-cost Arduino-based data acquisition platform to be used in <80 Hz data acquisition in vehicle dynamics, using low-cost accelerometers. In addition to this, a comparative study is carried out of professional...

Guiding a self-adjusting system through chaos

We study the parametric controls of self-adjusting systems with numerical models. We investigate the situation where the target dynamics changes slowly and passes through a chaotic region. We find that feedback destabilizes controls if the target is chaotic. If the control is unstable the system migrates to the closest non-chaotic target, i.e. it adapts to the edge of chaos. For weak controls t...

Self-adjusting Data Structures for External Memory String Access

A Self-adjusting Indexing Structure for Spatial Data

This paper introduces a spatial indexing structure that adjusts itself so as to provide faster access to spatially referenced data most in demand. The structure is a hybrid of a splay tree and a quadtree. The quadtree is a well-known spatial data structure that successively segments a spatial data area into quadrants, preserving the spatial arrangement of the data. Access to data is based on a ...

A Self-adjusting Data Structure for Multidimensional Point Sets

A data structure is said to be self-adjusting if it dynamically reorganizes itself to adapt to the pattern of accesses. Efficiency is typically measured in terms of amortized complexity, that is, the average running time of an access over an arbitrary sequence of accesses. The best known example of such a data structure is Sleator and Tarjan’s splay tree. In this paper, we introduce a self-adju...