Ships play the major role in bulk transportation and they need their special energy system. This paper proposes a stochastic programing method for optimal sizing of a hybrid ship power system with energy storage system (ESS), photovoltaic power (PV) and diesel generator. To account for uncertainties, in this study a two-stage stochastic mixed-integer non-linear programing is used to model the o...

A new type of transactions for higher level applfcation programing in systems with databases is introduced. These so-called 'nested transactions with multiple commit points' support operations over multiple applications either atomically, fndependent, or in a combination of both. Furthermore, it is strictly distinguished between transactions as units of work and transactions as a part of so-cal...

In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in...

Described is an undergraduate numerical analysis course organized around projects and tasks assigned to student teams. Most teams had five students within which the student with the most computer programing experience assumed the leadership role. The leaders' responsibility extended to distribution of work assignments and coordination of group interaction. Intragroup cooperation, leadership or ...

This paper gives an overview of linear programming methods for solving standard and nonstandard Markovian control problems. Standard problems are problems with the usual criteria such as expected total (discounted) rewards and average expected rewards; we also discuss a l~articular class of stochastic games. In nonstandard problems there are additional considerations as side constraints, multip...

This paper describes an efficient sampler for synchronous grammar induction under a nonparametric Bayesian prior. Inspired by ideas from slice sampling, our sampler is able to draw samples from the posterior distributions of models for which the standard dynamic programing based sampler proves intractable on non-trivial corpora. We compare our sampler to a previously proposed Gibbs sampler and ...

abstract water pricing is a policy instrument for improving water efficiency, reducing water demand, management of the irrigation systems and recovering costs. the underlying principle of water pricing is that it should reflect the opportunity cost of water. in this study, parametric mathematical programming approache were used to estimate the willingness of farmers to pay for groundwater under...