Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON system was created to fulfil these requests. This article describes utilization of HPC (high performance computing) in running multiple hydrometeorological simulations concurrently in t...

Today’s gas markets demand more flexibility from the network operators which in turn have to invest into their network infrastructure. As these investments are very cost-intensive and long-living, network extensions should not only focus on one bottleneck scenario, but should increase the flexibility to fulfill different demand scenarios. We formulate a model for the network extension problem f...

Multi-robot conflict resolution is a challenging problem, especially in dense environments where many robots must operate safely in a confined space. Centralized solutions do not scale well with the number of robots in dynamic scenarios: a centralized communication can cause bottlenecks and may not be robust enough when channels are unreliable; the complexity of algorithms grows with the number...

One of the long-term goals of this project is to analyze and propose energy-efficient communication techniques for underwater acoustic sensor networks. These techniques aim at consuming as less energy as possible as well as guaranteeing a minimum quality of service. In order to do so, we assume and validate some statistics of the underwater acoustic channels and derive stochastic optimal transm...

The standard scenario for GPS surveying is to use two carrier phase-tracking GPS receivers, one located at a "reference" station with known coordinates and the second one at a station whose coordinates are to be determined. (It is also possible to determine a trajectory when the second receiver is in motion.) However, the cost of two GPS receivers, and associated software, is high and has precl...

Speech recognition scenarios (aka tasks) differ from each other in acoustic transducers, acoustic environments, and speaking style etc. Building one acoustic model per task is one common practice in industry. However, this limits training data sharing across scenarios thus may not give highest possible accuracy. Based on the deep neural network (DNN) technique, we propose to build a universal a...

AlgaeSim, a dynamic multiple-systems (C, N, P) mass balance model, was developed to explore the potential for algae biomass production from wastewater by coupling two photobioreactors into the main treatment train at a municipal wastewater resource recovery facility (WRRF) in Tampa, Florida. The scoping model examined the synergy between algae cultivation and wastewater treatment through algal ...

While social robots are developed to provide assistance to users through social interactions, their behaviors are dominantly pre-programmed and remote-controlled. Despite the numerous robot control architectures being developed, very few offer reutilization opportunities in various therapeutic contexts. To bridge this gap, we propose a robot control architecture to be applied in different scena...

Multiple-participant (MP) dynamic decision making (DDM) is encountered both in societal and technical systems. Unlike in single-participant (SP) DDM, no commonly accepted normative theory exists. The paper contributes to numerous attempts to overcome this state by classifying possible MP scenarios and connecting them with the normative SP DDM. This classification helps us to formulate open prob...

Applications and research efforts in Mobile Learning constitute a growing field in the area of Technology Enhanced Learning. However, despite a permanent increase of mobile internet accessibility and availability of mobile devices over the past years, a mobile learning environment that is easy to use, widely accepted by teachers and learners, uses widespread off-theshelf software, and that cove...