Since the highly cited paper by Purcell postulating the “Scallop theorem” almost 50 years ago, asymmetry is an unavoidable part of micromotors. It is frequently induced by self‐shadowing or self‐masking, resulting in so‐called Janus colloids. This strategy works very reliably, but turns into a bottleneck once up‐scaling becomes important. Herein, existing alternatives are discussed and a novel synthetic pathway yielding active swimmers in a one‐pot synthesis is presented. To understand the resulting mobility from a single material, the geometric asymmetry is evaluated using a python based algorithm and this process is automated in an open access tool.
This work presents a high throughput and low cost architecture for the Context Adaptive Variable Length Decoder (CAVLD) of the H.264/AVC video coding standard. Usually, a large number of memory bits and memory accesses are required to decode the CAVLD in H.264/AVC since a large number of syntax elements are decoded based on look-up tables. To solve this problem, we propose an efficient decoding of syntax elements through the use of tree structures. Due to the difficulty to parallelize operations with variable length codes, we have proposed a few optimizations aiming to improve performance, and these optimizations are presented in this paper. The designed architecture was described in VHDL and synthesized to TSMC 0.18m CMOS standard-cells technology. The obtained results show that this solution reached the necessary throughput to decode HDTV videos (1920x1080 pixels) in real-time (30fps).
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