Special focus is dedicated to developing an approach for the parallel construction of edge systems.
Here, we present an approach for the parallel mapping of optical near-field interactions with a resolution of <5 nm using surface-bound motor proteins to transport microtubules carrying single emitters (quantum dots).
Quantitative real-time-PCR, though lacking the scale of microarrays, is a rapid, sensitive and less complex method for gene expression analysis and offers an alternative approach for parallel profiling of multiple targets as well as a time-saving means to validate microarray results.
Within this article an adaptive approach for parallel simulation of SystemC RTL models on future many-core architectures like the Single-chip Cloud Computer (SCC) from Intel is presented.
We have formulated a standard approach for parallel networks, showing that by applying this approach effect of faulty nodes, information size and communication complexity exponentially decreases with code length.
We present an approach for developing a scalable architecture for parallel distributed implementation of genetic programming (PDIGP).
In this proof-of-concept study, three markers from the FBI CODIS set were assayed with TnT to evaluate this approach for parallel amplification of STRs.
We propose an approach for learning the fine-positioning of a parallel-jaw gripper on a robot arm using visual sensor data as controller input.
Then, two basic approaches for parallel Markov chain Monte Carlo are described: one aims at parallelization within a single chain; the other is based on running multiple chains, yet some variants are discussed as well.
In this dissertation I propose a toolbox approach for writing parallel symbolic applications, including those with side effects.
Here, we describe a multiplexing approach for the parallel monitoring of transcriptional activity of thousands of randomly integrated reporters.
