Name
Title | ||
|---|---|---|
Modeling Multi-Target Detection and Gravitation by Intelligent Self-Organizing Bioparticles. |
Abstract | ||
|---|---|---|
This paper describes a model of multi-target detection and gravitation by hypothetical microscale bioparticles. These bioparticles are capable of simple micro-scale communication based on established behavior observed in bacterial communities in nature. The bioparticles seek to distribute in the environment and secrete attractant and repellent molecules upon detecting targets. The attractant and repellent molecules secreted at targets freely diffuse to form concentration gradients in the environment, inducing population-dependent gravitational forces toward the targets. Simulation results presented in this paper show how model parameters affect the resulting distribution of bioparticles according to a given target distribution. Simulation results also show that, when model parameters are properly tuned, bioparticles express the ability to distribute in the environment according to the distribution of targets. |
Year | Venue | Field |
|---|---|---|
2016 | IEEE Global Communications Conference | Object detection,Biological system,Computer science,Microscale chemistry,Real-time computing,Gravitation |
DocType | ISSN | Citations |
Conference | 2334-0983 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satoru Iwasaki | 1 | 0 | 0.34 |
| Jian Yang | 2 | 7 | 0.93 |
| Anthony O. Abraham | 3 | 0 | 0.34 |
| Juan Lorenzo Hagad | 4 | 0 | 0.68 |
| Takuya Obuchi | 5 | 14 | 2.17 |
| tadashi nakano | 6 | 374 | 79.47 |