One of the major scientific goals of SmartKom is to design a new human-machine interaction metaphor for a multimodal dialog system that combines speech, gesture, and mimics input with speech, gesture and graphics output. The system behavior is based on the new situated delegation-oriented dialog paradigm (SDDP) in the sense that a communication assistant, realized as an animated life-like chara...

In this paper, we discuss an application of the Stochastic Dual Dynamic Programming (SDDP) type algorithm to nested risk-averse formulations Optimal Control (SOC) problems. We propose a construction statistical upper bound for optimal value SOC This outlines approach solution long standing problem in that area research. The holds large class convex and monotone conditional risk mappings. Finall...

The molybdenum and tungsten active site model complexes, derived from the protein X-ray crystal structure of the first W-containing nitrate reductase isolated from Pyrobaculum aerophilum, were computed for nitrate reduction at the COSMO-B3LYP/SDDp//B3LYP/Lanl2DZ(p) energy level of density functional theory. The molybdenum containing active site model complex (Mo-Nar) has the largest activation ...

We consider the problem of optimal management of energy contracts, with bounds on the local (time step) amounts and global (whole period) amounts to be traded, integer constraint on the decision variables and uncertainty on prices only. After building a nite state Markov chain by using vectorial quantization tree method, we rely on the stochastic dual dynamic programming (SDDP) method to solve ...

This work presents a methodology to incorporate reliability constraints in the optimal power systems expansion planning problem. Besides Loss Of Load Probability (LOLP) and Expected Power Not Supplied (EPNS), traditionally used systems, this proposes use of risk measures VaR (Value-at-Risk) CVaR (Conditional Value-at-Risk), widely financial markets. The explicit consideration problem can be an ...

Abstract In this paper, we study multistage stochastic mixed-integer nonlinear programs (MS-MINLP). This general class of problems encompasses, as important special cases, convex optimization with non-Lipschitzian value functions and linear optimization. We develop dual dynamic programming (SDDP) type algorithms nested decomposition, deterministic sampling, sampling. The key ingredient is a new...

Chiral iridium (III) complexes are very important for the preparation of circularly polarized organic diodes light-emitting (CP-OLEDs). Three novel complexes, Ir(dnfppy)2(Cl/pyrrole), Ir(dfppy)2(dpp), and Ir(tfmqz)2(sdpp), have been synthesized characterized, respectively. These emitted deep-blue, blue, red photoluminescence with high quantum yields (Ir(dnfppy)2(Cl/Pyrrole): λmax = 447 nm, F 62...

We consider interstage dependent stochastic linear programs where both the random right-hand side and the model of the underlying stochastic process have a special structure. Namely, for equality constraints (resp. inequality constraints) the right-hand side is an affine function (resp. a given function bt) of the process value for the current time step t. As for m-th component of the process a...

The stochastic nature of renewable energy sources has increased the need for intraday trading in electricity markets. Intradaymarkets provide possibility to market participants modify their positions based on updated forecasts. In this paper, we propose a multistage programming approach model Virtual Power Plant (VPP), comprising thermal, wind and hydro power plants, Continuous Intraday (CID) m...