Process optimization is no longer an option for processes, but obligation to survive in the market any industry. This argument also applies anaerobic digestion biogas plants. The contribution of plants renewable energy can be increased through more productive systems with less waste, which brings common goal minimizing costs and maximizing yields processes. With help data science predictive ana...

Нефтегазовая промышленность является одной из ведущих отраслей мировой экономики, и ее значимость продолжает расти. Одним ключевых элементов успешной работы нефтяных компаний эффективное управление скважинами. В настоящее время для управления скважинами используются различные автоматизированные системы, однако они часто имеют ограничения в точности эффективности работы. отрасль наиболее важных ...

In this paper, we present a novel methodology to solve the problem of delineating homogeneous site-specific management zones (SSMZ) in agricultural fields. This consists dividing field into small regions for which specific rate inputs is required. The objective minimize number zones, must be according soil property: physical or chemical. Furthermore, as opposed oval SSMZ with rectangular shapes...

This chapter intends to give an overview of the literature on dynamic lot-sizing models and stochastic transshipment models. These two types of models are used as a basis for developing models with substitution in the following chapters. Section 2.1 contains a classification of models for dynamic lot-sizing / production planning, and selected models. In Sect. 2.2, we give a brief overview of av...

Difficult airway management and maintenance of oxygenation remain the two most challenging tasks for anesthetists, while also being controversial items in terms of clinically based-evidence to support relevant guidelines in the literature. Nevertheless, different expert groups and scientific societies from several countries have published guidelines dedicated to the management of difficult airw...

We deal with the competitive analysis of algorithms for managing data in a distributed environment. We deal with the file allocation problem ([DF], [ML]), where copies of a file may be be stored in the local storage of some subset of processors. Copies may be replicated and discarded over time so as to optimize communication costs, but multiple copies must be kept consistent and at least one co...

This chapter intends to give an overview of the literature on dynamic lot-sizing models and stochastic transshipment models. These two types of models are used as a basis for developing models with substitution in the following chapters. Section 2.1 contains a classification of models for dynamic lot-sizing / production planning, and selected models. In Sect. 2.2, we give a brief overview of av...

We deal with the competitive analysis of algorithms for managing data in a distributed environment. We deal with the le allocation problem ((DF], ML]), where copies of a le may be be stored in the local storage of some subset of processors, copies may be replicated and discarded over time so as to optimize communication costs, but multiple copies must be kept consistent and at least one copy mu...

Active Queue Management (AQM) is a very active research area in networking flows. In order to stem the increasing packet loss rates caused by an exponential increase in network traffic, researchers have been considering the deployment of active queue management algorithms. In this paper we will evaluate the active queue management algorithms such as Droptail, RED, BLUE, REM, GREEN and PURPLE. T...