In many robotic applications, the teaching of points in space is necessary to register the robot coordinate system with the one of the application. Robot-human interaction is awkward and dangerous for the human because of the possibly large size and power of the robot, so robot movements must be predictable and natural. We present a novel hybrid control algorithm which provides the needed preci...

In this paper, we review multi-scale models of solid tumour growth and discuss a middle-out framework that tracks individual cells. By focusing on the cellular dynamics of a healthy colorectal crypt and its invasion by mutant, cancerous cells, we compare a cell-centre, a cell-vertex and a continuum model of cell proliferation and movement. All models reproduce the basic features of a healthy cr...

Large scale systems are common in applications such as chemical process control, power generation and distribution and transportation systems, among others. Of particular interest are multi-agent, scarce resource problems, where a large number of agents have to make e cient use of a scarce resource. Here we try to approach the problem of large scale systems from a hierarchical, hybrid control v...

Indexing local features with a vocabulary tree and indexing holistic features by compact hashing codes are two successful but separated lines of research. Both of the two indexing models are suited for specific features and are limited to certain scenarios like partial-duplicate search and similar image search, respectively. To conquer such limitations, we propose a novel hybrid-indexing strate...

Glioblastoma multiforme are aggressive brain tumors that grow rapidly with remarkable invasive properties [1]. Median survival for patients receiving optimal treatment (which includes surgical resection, radiation, and chemotherapy) is only about 12 months, with a very small chance of long term survival [2]. The dismal prognosis for patients diagnosed with glioblastoma has sparked considerable ...

The turbulent transport of a passive scalar is an important and challenging problem in many applications in fluid mechanics. It involves different range of scales in the fluid and in the scalar and requires important computational resources. In this work we show how hybrid numerical methods, combining Eulerian and Lagrangian schemes, are natural tools to address this mutli-scale problem. One in...

This work investigated how the structure size affects quasi-static and fatigue behaviors of graphene polymer nanocomposites, a topic that has been often overlooked. The results showed both failure these materials scale nonlinearly with due to presence significant fracture process zone (FPZ) ahead crack tip induced by nanomodification. Such complicated effect scaling in either or scenario cannot...

Polymeric hybrid nanocomposites, due to improved mechanical, thermal, and electrical properties, are key factors in recent technologies. Because of anisotropic characteristics polymeric mechanical properties their behavior very difficult predict. If they fabricated with complicated woven fabric patterns, it becomes more This review discusses detail the manufacturing methods various fibers, focu...

Organic semiconductors show efficient electroluminescence which has led to their commercialization in light-emitting diodes (LEDs), however, they have been marred by the thorniest problem of solid-state quenching. Here, we report the synthesis and characterization of two fluorene-based blue amphiphile emitters containing triphenylamine or anthracene side groups and demonstrate formation of thei...