Autonomous mobile robots (AMRs) are being used extensively in civilian and military applications for such as underground mining, nuclear plant operations, planetary exploration, intelligence, surveillance reconnaissance (ISR) missions manned-unmanned teaming. We consider a multi-objective, multiple-vehicle routing problem which teams of manned ground vehicles (MGVs) AMRs deployed respectively l...

We describe a framework for direct volume rendering (DVR) of adaptive mesh refinement (AMR) data that operates directly on the hierarchical AMR grid structure, without the need to resample data onto a single uniform rectilinear grid. The framework can be used for a range of renderers optimized for particular hardware architectures: a hardwareassisted renderer for single-processor graphics works...

We discuss the development, integration, simulation, and flight test of a manned vehicle UAV mission system in a partially-known environment. The full control system allows a manned aircraft to issue mission level commands to an autonomous aircraft in realtime. This system includes a Natural Language (NL) Interface to allow the manned and unmanned vehicle to communicate in languages understood ...

The problem of designing a modular manufacturing lines is addressed. The modules are multi-spindle units and each unit executes simultaneously a subset of operations. This paper presents an approach to select the right spindle units and to arrange them into linear workstations. Our objective is to design such lines respecting technological constraints by minimizing the investment cost, which ta...

The availability of high capacity, low latency interconnects enable clusters of workstations to form powerful multicomputers with good computing and memory capabilities. To achieve high performance with modern cache hierarchies, software must be written with the architecture in mind, e.g. reducing data movement for the data intensive application increase performance. Data movement becomes even ...

Abstract. Scene classification based on multi-source remote sensing image is important for interpretation, and has many applications, such as change detection, visual navigation retrieval. Deep learning become a research hotspot in the field of scene classification, dataset an driving force to promote its development. Most datasets are optical images, multimodal relatively rare. Existing that c...