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This paper presents the modeling, simulation of a double-stage evaporation process to obtain Bioethanol from sugarcane juice; the model was validated with data from a plant located in Peru. So is the calculation of a Nonlinear Control and optimization following the Extended Prediction Self-Adaptive Control approach, because it has less computational load. The results achieved the control of juice...
Advances in technology and the need to meet many interdependent competing requirements have led to complex information intensive systems that can be best managed by integrating multi-discipline, multi-attribute models for better informed decision-making. Attempts to bridge the gap between systems engineering and project management have been sought through project management methods and through imposing...
Among the industries fundamental for modern life, wastewater treatment receives increasing interest for its potential to recuperate valuable resources. The biogas obtained through anaerobic digestion, more specifically, the methane it contains, often represents a powerful asset in operating a WWTP (wastewater treatment plant) economically. However, the microbiological processes that lead to obtaining...
This paper proposes modelling ranked load curves using algebraic polynomials. Starting from the assumption of some characteristic parameters of load profiles: maximum power, minimum power and the energy consumption in a time period, characteristic coefficients of different types of algebraic polynomials such as: linear, parabolic and third-order are obtained. The modelling of real load profile has...
In August 2017 under the auspices of the International Union of Physiological Sciences (IUPS), we will launch a new journal: Physiome. The goal of Physiome is to promote, encourage, and support the wide-spread adoption of technologies and workflows that generally improve the ability of scientists to discover existing computational models which are relevant to their work, reproduce the predictions...
Multi-agent simulations are useful for exploring collective patterns of individual behavior in social, biological, economic, network, and physical systems. However, there is no provenance support for multi-agent models (MAMs) in a distributed setting. To this end, we introduce ProvMASS, a novel approach to capture provenance of MAMs in a distributed memory by combining inter-process identification,...
The article deals with the possibilities of applying mathematical modelling and post-optimization analysis in the strategic planning tasks including identifying and coordinating the targets for social and economic development and justifying the mechanisms for managing development programs. An approach is proposed to restore the structure of private targeted preferences of participants in state development...
The possibilities of gaming simulation to support the adoption of a broad range of planned and operational decisions in the management of enterprises and corporations are considered. The capabilities developed to date tools game modeling and original approach based on a synthesis of basic concepts of game theory and operations research with the ideas analytical accounting, the strict definition of...
The use of cognitive maps in support of solving practical problems of analysis of ill-structured situations and large-scale systems in economics, medicine, ecology, education and military-political sphere is growing. The problem of visual perception and understanding of cognitive maps is proven to be extremely urgent and practically important. The set of visualization methods that provide better perception...
Hair cells are thought to be passive transduction systems able to convert a mechanical pulse in an electrical signal. In this paper, we have investigated the polyelectrolyte properties of actin filaments which in interaction with myosin motor proteins represent basic participants in mechano-electrical transduction in the stereocilia, mechanosensing organelles of hair cells. We have elaborated a biophysical...
The extensive involvement of energy conversion and storage technologies is becoming increasingly important in the context of energy transition. A sufficient modeling and simulation of large-scale and coherent cross-energy systems is essential to enable decision makers to put the right course. This process implies growing complexity in terms of physical and market economy modeling on the device-level,...
In far-off regions without a connection to the main grid, primarily diesel generators are used for the power supply. However, hybrid energy systems such as PV-diesel-battery systems have a high potential to reduce CO2-emissions and fuel costs. As a challenge, on the one hand, smart dispatch strategies are required to compensate the limited part-load capacity of diesel generators and the volatility...
This paper has the focus to identify the unknown parameters of solar photovoltaic generators in real time, through the application of a new proposed technic. The identification process is discussed with details, about the four steps of identification. In this regard, the first step explain the experimental data acquisition work, to obtain data from real photovoltaic system. For the second step, a...
In this paper is presented a fault detection method for a biological wastewater treatment process (WWTP) based on residual generation. The residuals were determined by comparing the process model affected by different faults with its neural model. The simulation results demonstrate that this approach is efficient for detecting faults which occurs in biotechnological processes.
The paper presents a system of controlling a biomechanical walking machine. Our approach is quite peculiar because it simultaneously solves the inverse and the direct control problem on the basis of the machine model. At first, using the data about the movement of the machine body the trajectories of the feet movement are calculated; then, using the machine model, leg joints turn angles are determined,...
This paper explores the predictive power of perhaps the most well-supported human performance model in the context of a complex ecological task. The model is Fitts Law, which describes the classic speed-accuracy tradeoff of goal-directed motor behavior. The task is modern pistol shooting competition, which demands explicit cognitive strategy and full-body biomechanical coordination. Data obtained...
A five-stage Field-Noyes-Köros model of the Belousov-Zhabotinsky reaction and the corresponding mathematical model of the oregonator is presented. A system of equations for the oregonator steady states is derived. The oregonator steady states are calculated for different values of the stoichiometric coefficient. The steady state was investigated according to the experimental data of the model's authors...
The existing models of biocleaning do not consider influence of external factors on processes. The research of temperature effect and pH a surrounding medium on processes of biological cleaning allows to define optimum conditions for development of a biocenosis of the activated sludge. The received results should be considered by consideration of the models of a nitrification and denitrification.
The need to improve the quality of management at minimum costs, the complexity of the structure of the management object, the functions performed by it, leads to an increase in uncertainties that need to be taken into account. Application of typification and unification will allow to reduce the cost of production of new products, to increase the level of automation of productions.
Body segment inertial parameters of an exoskeleton and human being are of crucial importance for the development of model-based controllers and for the monitoring of rehabilitation processes. These parameters are usually provided using Computer Aided Design (CAD) models or averaged Anthropometric Tables (AT) for human. However, CAD models are often not sufficiently accurate and particularly if the...
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