The main goal of the work presented in this paper is to determine an optimal strategy for virtual characters performing judicious combinations of speech, gesture and motion in order to disambiguate references to objects in the physical environment. The work is located in the research area of mobile computing and deals with the combination of mobile and stationary devices.

We study the scaling exponents of a 1+1-dimensional directed polymer in a Brownian random environment introduced by O’Connell and Yor. For a version of the model with boundary conditions that are stationary in a space-time sense we identify the exact values of the exponents. For the version without the boundary conditions we get the conjectured upper bounds on the exponents.

Localizing a source using matching-field processing requires enough array elements to have an adequate array gain and a very good knowledge of the oceanic environment. It often is complicated by the presence of loud, fast-moving interferers, and the source itself being non-stationary. Our goal is to develop a robust matched-field processing technique well suited for practical applications in ch...

We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be characterized by quantifiers of the underlying dynamics–generating system. We give experimental results about how these quantifiers, namely the Lyapunov exponents, together with the environmental change period of the landscape in...

The paper presents the application of the reinforcement learning for the autonomous mobile robot moving learning in an unknown, stationary environment. The robot movement policy was represented by a probabilistic RBF neural network. The network proved to be very attractive tool, which enabled efficient, simple and fast approximation of the state value function.

Hypothesis: Seasonal variation in availability of resources maintains co-existence between different ecological types due to frequency-dependent interactions. Organism: Escherichia coli. Methods: When populations containing two ecotypes of E. coli that evolved from a common ancestor under sympatric conditions grow in batch culture on a mixture of glucose and acetate, they first use up the avail...

Observations and numerical simulations are used to investigate the atmospheric processes that led to extreme rainfall and resultant destructive flash flooding in eastern Missouri on 6–7 May 2000. In this event, a quasi-stationary mesoscale convective system (MCS) developed near a preexisting mesoscale convective vortex (MCV) in a very moist environment that included a strong low-level jet (LLJ)...

On the onset of triple-diffusive convection in a horizontal layer of nanofluid heated from below and salted from above and below is studied both analytically and numerically. The effects of thermophoresis and Brownian diffusion parameters are also introduced through Buongiorno model in the governing equations. By using linear stability analysis based on perturbation theory and applying normal m...

An important problem in the field of online EEG analysis is that of adaptive classification. The non-stationarity nature of EEG renders simple linear systems ineffective. Moreover, often class labels are available only occasionally. We present an algorithm for adaptive nonlinear two-class distinction which extends the non-stationary logistic regression [2] to an environment in which feedback is...

Adopting the viewpoint that the standard perturbative quantization of general relativity provides an effective description of quantum gravity that is valid at ordinary energies, we show that gravity as an environment induces the rapid decoherence of stationary matter superposition states when the energy differences in the superposition exceed the Planck energy scale.