The crowd-creation space is a manifestation of the development innovation theory to certain stage. With creation space, problem optimizing resource allocation has become research hotspot. emergence cloud computing provides new idea for solving allocation. Common algorithms include genetic algorithms, simulated annealing and ant colony algorithms. These have their obvious shortcomings, which are...

Often resource selection functions (RSFs) are developed by comparing resource attributes of used sites to unused or available ones. We present alternative approaches to the analysis of resource selection based on the utilization distribution (UD). Our objectives are to describe the rationale for estimation of RSFs based on UDs, offer advice about computing UDs and RSFs, and illustrate their use...

The coordination of multiple systems presents unique challenges and remains a worthy goal in situations where humans need to project efforts and control over large distances. Particularly challenging problems arise when multiple robots are used in space applications to construct large space structures or to manipulate material. For example, various teleautonomous applications have been proposed...

We study the competition of two species for a single resource in a chemostat. In the simplest space-homogeneous situation, it is known that only one species survives, namely the best competitor. In order to exhibit coexistence phenomena, where the two competitors are able to survive, we consider a space dependent situation: we assume that the two species and the resource follow a diffusion proc...

Analog In-Memory Compute (AIMC) arrays can store weights and perform matrix-vector multiplication operations for Deep Convolutional Neural Networks (CNNs). A number of recent efforts have integrated AIMC into hybrid digital-analog accelerators in a multi-layer parallel manner to achieve energy efficiency high throughput. Multi-layer parallelism on large-scale tile-based architectures need effic...