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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,...
In this paper, we propose a method for identifying the differential mode impedance of a paralleled converter cell. The equivalent Thevenin / Norton circuit method is used for prediction. The predict of ElectroMagnetic Interference (generated by converters connected to the electrical network to identify the sources of noise, impedance and harmonics according to the identification of the contribution...
This work develops the synchronous reference frame control of an interlinking converter between the DC and the AC bus of hybrid microgrids. The interlinking converter is based on two parallel connected inverters. A 3D Space Vector Modulator is proposed to avoid the presence of circulating currents between inverters.
In the field of signal processing, pattern recognition and also modeling and simulation, it is often necessary to use large data sets. These allow reliable, independent and test case spanning development of algorithms or even of complete systems. The data is usually taken from existing data sets such as TIMIT for speech recognition and processing or EPILEPSIAE to develop algorithms for epileptic seizure...
The idea of this paper is to show the power of modelling activities to analyze multidisciplinary phenomena and to bridge the gap between secondary and university mathematics. For that, we are using a methodology emerged from the anthropological theory of the didactic whose result is the design of a teaching device called study and research path. This device uses exhaustively the ICT like a facilitator...
Modeling IoT systems behaviors and architectures requires new approaches to be elaborated for handling the challenging issues such as: large scale interaction and real-time reconfiguration. This can help both during the design and the operation steps for ensuring a correct design and for delivering a performant service. Different studies have been recently conducted and new initiatives, at the national,...
Aroma analysis follows a well-established procedure which provides a list of odorants that contribute to a given food aroma. However, such a procedure does not allow establishing the actual sensory profile of the food because the perceptual influence of mixed odorants is poorly considered. To improve the aroma analysis efficiency, we explored an innovative strategy which combines classical aroma analysis...
Mathematical models are a powerful research tool that can be applied to understanding leukemia. They have been applied to evaluate existing therapies and to suggest new ones. In this paper, we propose a therapy approach based on an optimal control which minimizes the number of cancerous cells and the side effects of the treatment. To this end, we use a nonlinear distributed delay system obtained from...
Various local optimization techniques such as Interior Point Algorithm have been widely used to optimize the parameters of models representing biodynamic responses to vibration. The quality of the obtained solutions depends on the initial guesses. This paper presents a comparison between the performance of Particle Swarm Optimization and Genetic Algorithm in optimizing the parameters of a human body...
The operation process of the critical infrastructure is considered and its operation states are introduced. The semi-Markov process is used to construct a general probabilistic model of the critical infrastructure operation process. To build this model, the vector of probabilities of the critical infrastructure operation process staying at the initial operation states, the matrix of probabilities...
We report on an evaluation of the Customer Journey Modelling Language (CJML) for documenting and visualizing a service process from the customer's perspective. The target group is employees in service organizations. We present a modelling toolkit and a scenario-based procedure that was used during the experiment with 48 target users. The purpose was to assess the applicability of CJML when introduced...
In a Wireless Body Area Network (WBAN) system, the antenna is located very close to the body surface and the operation causes the antenna characteristic strongly influenced by the electrical properties of body/tissue/skin. Theoretical model of the planar dipole antenna above the human body surface is proposed in this paper. The proposed model is developed based on the transmission line concept on...
Artificial Neural network (ANN) has been widely used in solving complex real world problems. It is commonly known as a black-box approach in the sense that examples (input and output pairs) are learned in the process of establishing an ANN model. However, there is a long debate in literature on whether ANN is a white-box or a black-box approach. In this article, we take a more conceptual view towards...
Wastewater treatment plants (WWTPs) are key infrastructures for ensuring a proper protection of the environment. Mathematical modelling and simulation of activated sludge systems have gained increasing attention in control engineering within the last years. The most widely used models to describe the biochemical processes that take place in a WWTP are the Activated Sludge Models 1–3. Due to their...
Presently, discrete-event dynamic systems represent a significant group of varied systems e.g. computer networks, manufacturing systems, communication systems, database systems etc. An important class of discrete-event systems are automated storage and retrieval systems (AS/RS). There is a big demand for new modelling and control methods of these systems in automotive industry in Slovakia. These systems...
Models are crucial in the engineering design process because they can be used for both the optimisation of design parameters and the prediction of performance. Thus, models can significantly reduce design, development and optimisation costs. This paper establishes bases that can underlie the development of a novel equivalent electrical model for Darrieus-type vertical axis wind turbines (DTVAWTs)...
Hong Kong is becoming an ageing society. The growth in the demand of residential care places, together with the increasing complexities of illnesses and varieties of procedures, result in heavy workloads and pressures of local nursing staff. In particular, nursing homes are experiencing high nursing staff turnover and continual manpower shortage. Despite the increasing demand from academic, commercial...
Rapid development of information and communications technology changed our world for the better in the last couple of years. It has also opened the door ahead of new possibilities in order to organize large social systems like urban transportation more efficiently. However, exploitation of these opportunities in this smarter world is still at a low level. A major reason for this could be that smarter...
The aim of this communication is to present an earlier study of how to structure modelling process of complex and large scale systems for risk assessment and management purpose. The approach, in a first stage, uses ontology paradigm to determine variables (or concepts) characterizing system locally and the nature of relationships relating them and, in a second stage, object oriented Bayesian network...
This paper presents an approach to explicitly determinate optimal stocking rates based on trade-offs between guanaco density and livestock grazing intensity on rangelands of Patagonia, Argentina. As sheep farming becomes less profitable in this region, farmers and ranchers need to focus on sustainable wildlife harvesting as alternative income generation. We developed a methodology for spatially-explicit...
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